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Autodesk
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  • Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Lear... Read More
    Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Learning QA Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality-focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.Reporting Structure: You will report to an Engineering Manager in Research Enablement.Location: United Kingdom We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.ResponsibilitiesDefine ML quality strategy and acceptance criteria across data, model, and system levelsDesign and maintain model evaluation suites, metrics, and test datasetsEvaluating CAD RL model outputs for geometric validity or policy stabilityDefining structured rubrics that translate qualitative findings into measurable evaluation gatesTesting ML Models from product sideAPI TestingAutomate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)Create and maintain test harnesses for ML services and APIsMentor teams on ML QA best practices and consistent evaluation standardsBuild quality gates for training and deployment pipelines (e.g., regression checks, drift detection)Contribute to multi-team projects and codebases, ensuring code quality and consistencyParticipate in code reviews and provide constructive feedback to peersDocument and present findings and ideas across the companyMinimum QualificationsBachelor’s degree in Computer Science, Engineering, or equivalent experience7+ years of professional experience in software engineering or QA for ML/AI systemsStrong programming skills in Python, with experience in test automationFamiliarity with popular CAD environments toolingProficient in Automation and UAT test suite/frameworkExperience designing QA frameworks or platforms used by multiple teamsExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsUnderstanding of software architecture and design patternsAbility to work in an agile development environmentPreferred QualificationsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with CI/CD tools and processesExperience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Familiarity with MLOps practices (model monitoring, drift, deployment checks)Experience with ML evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable automationYou enjoy learning and collaborating across global locationsYou are comfortable working in newly forming ambiguous areasYou are comfortable building scalable and maintainable systems that will be relied on by othersYou can communicate well with others#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: London, GBR; United Kingdom - Remote; Cambridge, GBR; Birmingham, GBR; Sheffield, GBP; Newcastle upon Tyne, GBR; Newbury, GBRType: Full time Read Less
  • Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Lear... Read More
    Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Learning QA Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality-focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.Reporting Structure: You will report to an Engineering Manager in Research Enablement.Location: United Kingdom We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.ResponsibilitiesDefine ML quality strategy and acceptance criteria across data, model, and system levelsDesign and maintain model evaluation suites, metrics, and test datasetsEvaluating CAD RL model outputs for geometric validity or policy stabilityDefining structured rubrics that translate qualitative findings into measurable evaluation gatesTesting ML Models from product sideAPI TestingAutomate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)Create and maintain test harnesses for ML services and APIsMentor teams on ML QA best practices and consistent evaluation standardsBuild quality gates for training and deployment pipelines (e.g., regression checks, drift detection)Contribute to multi-team projects and codebases, ensuring code quality and consistencyParticipate in code reviews and provide constructive feedback to peersDocument and present findings and ideas across the companyMinimum QualificationsBachelor’s degree in Computer Science, Engineering, or equivalent experience7+ years of professional experience in software engineering or QA for ML/AI systemsStrong programming skills in Python, with experience in test automationFamiliarity with popular CAD environments toolingProficient in Automation and UAT test suite/frameworkExperience designing QA frameworks or platforms used by multiple teamsExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsUnderstanding of software architecture and design patternsAbility to work in an agile development environmentPreferred QualificationsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with CI/CD tools and processesExperience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Familiarity with MLOps practices (model monitoring, drift, deployment checks)Experience with ML evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable automationYou enjoy learning and collaborating across global locationsYou are comfortable working in newly forming ambiguous areasYou are comfortable building scalable and maintainable systems that will be relied on by othersYou can communicate well with others#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: London, GBR; United Kingdom - Remote; Cambridge, GBR; Birmingham, GBR; Sheffield, GBP; Newcastle upon Tyne, GBR; Newbury, GBRType: Full time Read Less
  • Renewal Representative, Regional Accounts  

    - London
    Job Requisition ID #26WD95699Role SummaryThe Renewal Representative, R... Read More
    Job Requisition ID #26WD95699Role SummaryThe Renewal Representative, Regional Accounts is a customer-facing role responsible for managing and executing high‑volume subscription renewals across a portfolio of regional customers in the UK. Operating with a high degree of independence, this role focuses on protecting and expanding recurring revenue by delivering accurate, timely renewal execution and proactively addressing customer needs.The role requires strong commercial judgement, confident customer communication, and the ability to manage multiple renewal cycles simultaneously. Success is measured through renewal rate, customer retention, expansion at renewal, and disciplined operational execution.Key ResponsibilitiesEnd-to-End Renewal OwnershipIndependently own and execute full renewal workflows across assigned regional customer accountsDrive timely, accurate renewal completion with minimal guidance, ensuring contract and commercial accuracyCustomer Retention & ExpansionDefend the existing customer base by proactively identifying churn risk, renewal blockers, and customer concernsIdentify and close seat‑based expansion opportunities at renewal, using standard playbooks and creative commercial approachesCustomer & Procurement EngagementWork directly with customer procurement and commercial teams to manage renewal execution and resolve issuesApply clear, persuasive communication to influence renewal outcomes and maintain strong customer relationshipsForecasting, Data & Workflow DisciplineMaintain accurate renewal pipeline management, forecasting, and reporting within CRM systemsMonitor auto‑renewal status and intervene when auto‑renewals are disabled to prevent churnUse data, insights, and workflow automation to improve renewal efficiency and predictabilityAccount Team Unit (ATU) CollaborationEngage Account Executives on larger cross‑sell or expansion opportunities identified during renewal cyclesPartner with Customer Success Managers to align on adoption, retention, and renewal strategyProvide light‑touch support to partners on partner‑owned or assisted renewal accountsShare insights on churn risk, renewal blockers, and missed upsell signals across teamsMentorship & Continuous ImprovementProvide guidance and informal mentorship to less experienced renewal or sales colleaguesShare customer feedback on product experience, packaging, and commercial friction with internal teamsExperience & Capability ExpectationsDemonstrated experience managing customer renewals, account management, inside sales, or customer success motions within a B2B environmentProven ability to independently manage a high volume of renewal transactions with strong attention to detail and prioritisationStrong customer‑facing communication skills, with confidence engaging procurement and commercial stakeholdersCommercial awareness, including experience negotiating renewal terms and addressing customer objectionsAbility to identify churn risks, expansion signals, and renewal blockers using customer insight and dataExperience using CRM systems to manage pipelines, forecasts, and renewal workflowsHighly organised and capable of managing competing priorities in a fast‑paced environmentFamiliarity with UK customer buying behaviours and regional commercial practicesPreferred Experience & BackgroundExperience working in subscription‑based or recurring revenue business modelsExposure to seat‑based expansion or upsell motions at time of renewalFamiliarity with partner‑assisted or partner‑led renewal modelsExperience mentoring or supporting junior sales or renewal colleaguesComfort working within cross‑regional or matrixed sales organisationsDegree‑level education or equivalent professional experienceRS27#LI-LH1Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: EMEA - United Kingdom - London - Agar StType: Full time Read Less
  • Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Lear... Read More
    Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Learning QA Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality-focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.Reporting Structure: You will report to an Engineering Manager in Research Enablement.Location: United Kingdom We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.ResponsibilitiesDefine ML quality strategy and acceptance criteria across data, model, and system levelsDesign and maintain model evaluation suites, metrics, and test datasetsEvaluating CAD RL model outputs for geometric validity or policy stabilityDefining structured rubrics that translate qualitative findings into measurable evaluation gatesTesting ML Models from product sideAPI TestingAutomate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)Create and maintain test harnesses for ML services and APIsMentor teams on ML QA best practices and consistent evaluation standardsBuild quality gates for training and deployment pipelines (e.g., regression checks, drift detection)Contribute to multi-team projects and codebases, ensuring code quality and consistencyParticipate in code reviews and provide constructive feedback to peersDocument and present findings and ideas across the companyMinimum QualificationsBachelor’s degree in Computer Science, Engineering, or equivalent experience7+ years of professional experience in software engineering or QA for ML/AI systemsStrong programming skills in Python, with experience in test automationFamiliarity with popular CAD environments toolingProficient in Automation and UAT test suite/frameworkExperience designing QA frameworks or platforms used by multiple teamsExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsUnderstanding of software architecture and design patternsAbility to work in an agile development environmentPreferred QualificationsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with CI/CD tools and processesExperience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Familiarity with MLOps practices (model monitoring, drift, deployment checks)Experience with ML evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable automationYou enjoy learning and collaborating across global locationsYou are comfortable working in newly forming ambiguous areasYou are comfortable building scalable and maintainable systems that will be relied on by othersYou can communicate well with others#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: London, GBR; United Kingdom - Remote; Cambridge, GBR; Birmingham, GBR; Sheffield, GBP; Newcastle upon Tyne, GBR; Newbury, GBRType: Full time Read Less
  • Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Lear... Read More
    Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Learning QA Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality-focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.Reporting Structure: You will report to an Engineering Manager in Research Enablement.Location: United Kingdom We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.ResponsibilitiesDefine ML quality strategy and acceptance criteria across data, model, and system levelsDesign and maintain model evaluation suites, metrics, and test datasetsEvaluating CAD RL model outputs for geometric validity or policy stabilityDefining structured rubrics that translate qualitative findings into measurable evaluation gatesTesting ML Models from product sideAPI TestingAutomate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)Create and maintain test harnesses for ML services and APIsMentor teams on ML QA best practices and consistent evaluation standardsBuild quality gates for training and deployment pipelines (e.g., regression checks, drift detection)Contribute to multi-team projects and codebases, ensuring code quality and consistencyParticipate in code reviews and provide constructive feedback to peersDocument and present findings and ideas across the companyMinimum QualificationsBachelor’s degree in Computer Science, Engineering, or equivalent experience7+ years of professional experience in software engineering or QA for ML/AI systemsStrong programming skills in Python, with experience in test automationFamiliarity with popular CAD environments toolingProficient in Automation and UAT test suite/frameworkExperience designing QA frameworks or platforms used by multiple teamsExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsUnderstanding of software architecture and design patternsAbility to work in an agile development environmentPreferred QualificationsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with CI/CD tools and processesExperience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Familiarity with MLOps practices (model monitoring, drift, deployment checks)Experience with ML evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable automationYou enjoy learning and collaborating across global locationsYou are comfortable working in newly forming ambiguous areasYou are comfortable building scalable and maintainable systems that will be relied on by othersYou can communicate well with others#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: London, GBR; United Kingdom - Remote; Cambridge, GBR; Birmingham, GBR; Sheffield, GBP; Newcastle upon Tyne, GBR; Newbury, GBRType: Full time Read Less
  • Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Lear... Read More
    Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Learning QA Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality-focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.Reporting Structure: You will report to an Engineering Manager in Research Enablement.Location: United Kingdom We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.ResponsibilitiesDefine ML quality strategy and acceptance criteria across data, model, and system levelsDesign and maintain model evaluation suites, metrics, and test datasetsEvaluating CAD RL model outputs for geometric validity or policy stabilityDefining structured rubrics that translate qualitative findings into measurable evaluation gatesTesting ML Models from product sideAPI TestingAutomate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)Create and maintain test harnesses for ML services and APIsMentor teams on ML QA best practices and consistent evaluation standardsBuild quality gates for training and deployment pipelines (e.g., regression checks, drift detection)Contribute to multi-team projects and codebases, ensuring code quality and consistencyParticipate in code reviews and provide constructive feedback to peersDocument and present findings and ideas across the companyMinimum QualificationsBachelor’s degree in Computer Science, Engineering, or equivalent experience7+ years of professional experience in software engineering or QA for ML/AI systemsStrong programming skills in Python, with experience in test automationFamiliarity with popular CAD environments toolingProficient in Automation and UAT test suite/frameworkExperience designing QA frameworks or platforms used by multiple teamsExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsUnderstanding of software architecture and design patternsAbility to work in an agile development environmentPreferred QualificationsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with CI/CD tools and processesExperience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Familiarity with MLOps practices (model monitoring, drift, deployment checks)Experience with ML evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable automationYou enjoy learning and collaborating across global locationsYou are comfortable working in newly forming ambiguous areasYou are comfortable building scalable and maintainable systems that will be relied on by othersYou can communicate well with others#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: London, GBR; United Kingdom - Remote; Cambridge, GBR; Birmingham, GBR; Sheffield, GBP; Newcastle upon Tyne, GBR; Newbury, GBRType: Full time Read Less
  • Job Requisition ID #26WD96825The Account Executive, Enterprise Account... Read More
    Job Requisition ID #26WD96825The Account Executive, Enterprise Accounts is a customer-facing sales role responsible for owning and executing growth strategies for large, complex enterprise customers across the UK and EMEA. This role leads sophisticated sales engagements, drives revenue expansion, and manages complex commercial negotiations, often within Enterprise Business Agreement (EBA) or equivalent enterprise frameworks.The Account Executive acts as a trusted advisor to senior customer stakeholders, applying strong commercial judgement, strategic insight, and industry knowledge to deliver long-term customer value and predictable business growth. The role operates with a high degree of autonomy and requires confidence navigating multi-stakeholder buying groups and extended sales teams.Key ResponsibilitiesEnterprise Account GrowthDevelop and execute comprehensive growth strategies for assigned enterprise accounts, including senior stakeholder engagement and executive-level business reviews.Expand customer adoption across business units, personas, and buying groups within complex enterprise organisations.Revenue Generation & ExpansionDrive incremental revenue through upsell, cross-sell, and expansion motions across new, adjacent, and upgraded solutions.Support and optimise consumption-based or subscription-based commercial models within enterprise accounts.Complex Deal LeadershipLead the negotiation and closure of complex, multi-stakeholder enterprise agreements, including expansions aligned to renewal or long-term commercial frameworks.Navigate complex deal structures in collaboration with Deal Desk, legal, finance, partners, and specialist teams.Sales Forecasting & Commercial DisciplineOwn pipeline management and forecasting accuracy for enterprise expansion and growth opportunities.Apply data-driven judgement to assess deal health, risk, and probability, ensuring predictable outcomes.Strategic Customer EngagementAct as a strategic advisor to executive-level customer stakeholders, aligning solutions to business priorities and outcomes.Deliver compelling value propositions through executive storytelling and insight-led engagement.Account Team Unit (ATU) CollaborationLead co-selling motions with technical specialists, extended sales teams, and partners to design and deliver impactful customer solutions.Partner with technical teams during discovery and solution development to ensure strong solution fit and differentiation.Ensure seamless post-sale handover to Customer Success to support onboarding, adoption, and value realisation.Experience & Capability ExpectationsDemonstrated experience owning and growing large enterprise or strategic customer accounts within complex B2B environments.Proven capability leading sophisticated, multi-stakeholder sales cycles from strategy through negotiation and closure.Strong commercial acumen, including experience managing enterprise-scale agreements and expansion motions.Ability to engage credibly and confidently with senior and executive-level customer stakeholders.Experience operating in matrixed sales environments, collaborating with specialists, partners, and cross-functional teams.Strong analytical and strategic thinking skills, with the ability to use data to inform decisions and forecasts.Familiarity with UK enterprise customer buying behaviours and commercial practices.Preferred Experience & BackgroundExperience working with Enterprise Business Agreements (EBAs) or equivalent large-scale commercial frameworks.Background in technology, SaaS, subscription, or consumption-based business models.Experience leading co-sell motions with technical specialists and partner ecosystems.Exposure to value-based selling, executive-level storytelling, and business outcome positioning.Experience using CRM, forecasting, and pipeline management tools to support enterprise sales execution.Degree-level education or equivalent professional experience.Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Diversity & BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: United Kingdom - RemoteType: Full time Read Less
  • Pre-Sales Account Technical Lead - UK & Ireland  

    - South Yorkshire
    Job Requisition ID #26WD100329Position overviewWe are looking for a pe... Read More
    Job Requisition ID #26WD100329Position overviewWe are looking for a person that embraces new ideas and challenges the way things are done. You are open to learning and staying on top of product and industry changes, and able to collaborate within teams.If you are passionate about technology, accomplished at translating customer business needs into workflows and solution architecture, and have Autodesk product and domain knowledge, you will be excited by this role.Working in a hybrid environment, and reporting into the Northern Europe Account Technical Leads Director, you will work with Autodesk in a pre-sales capacity, using your practical skills and technical vision to promote the value of Autodesk solutions to customers as a trusted technical strategist.Main ResponsibilitiesDiscover customer needs and provide Autodesk solution advice and ROI illustrations aligned to them.Build trust and credibility with customers to support the development of strategic technical roadmaps.Deliver technical presentations at customer-facing events, meetings and webinars.Coordinate technical resources from extended teams.Collaborate with sales executives to identify potential for revenue growth.Provide feedback to Product teams to improve Autodesk solutions.Develop technical content for use in pre-sales activities and sales automation.Promote Autodesk solutions and build an industry profile as a recognised technical expert.Minimum Qualifications:Technical knowledge of Autodesk products such as AutoCAD, Inventor, Fusion, Vault or Fusion Manage.Knowledge of manufacturing technology solutions from other vendors will be considered.Knowledge of manufacturing industry processes, workflows and technology trends.Knowledge of product data, document or lifecycle management concepts.Knowledge of Enterprise IT concepts is desirable.Experience in the UK Manufacturing Industry but must be flexible to adapt to serve customers in multiple industries.Excellent written and spoken English language skills.Excellent presentation and storytelling skills through a variety of mediums.We ask that you travel within the UK and Republic of Ireland, with some occasional travel to other global locations. The majority of the role is in the UK and therefore should be based here.#LI-IS1Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: In-Person Onboarding and Identity VerificationThis role may require in-person onboarding and/or in-person ID verification.Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: United Kingdom - Remote; Birmingham, GBR; London, GBR; Sheffield, GBPType: Full time Read Less
  • Job Requisition ID #26WD98298Research Lead / Principal Scientist & Man... Read More
    Job Requisition ID #26WD98298Research Lead / Principal Scientist & ManagerPost-Training · Alignment · Reinforcement LearningAutodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EU)Open to Remote: Germany, France or ItalyThe OpportunityFoundation models are reshaping how engineers, architects, and designers work —but training foundation models that are reliable, domain-capable systems is still an open research problem.Autodesk touches more of the physical world than almost any other software company. The products we build are used to design skyscrapers, manufacture aircraft, and produce films. AI is now central to how those workflows are evolving — and post-training is the layer that makes the difference between a capable model and one that is dependable and robust in our customers’ high-precision domains.As Research Lead for Post-Training & Alignment, you will own Autodesk's research strategy for transforming foundation models into systems that are reliable, aligned, and genuinely useful in complex, domain-specific workflows. This is a deeply technical leadership role — you will shape research direction, drive key architectural decisions, and remain close to the work.You will lead a growing team of AI scientists while continuing to contribute directly to research: running experiments, developing novel algorithms, and publishing at top-tier venues.This role reports to the Senior Director of AI Research within Autodesk AI Lab.Why This RoleUnique research surface areaAutodesk's domains — architecture, engineering, construction, manufacturing, media & entertainment — provide a distinctive research environment: rich structured data, long-horizon reasoning tasks, and real-world evaluation grounded in professional workflows. Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational design tools give us something most labs don't have: high-fidelity, domain-grounded verifiers that can serve as reward signals for post-training. Rather than relying solely on human preference data, we can ground reinforcement learning in the laws of physics and the constraints of real engineering. These are exactly the kinds of challenges — and assets — that make post-training and alignment research here genuinely distinctive.Research-first, with real impactWe publish at NeurIPS, ICML, ICLR, CVPR, and SIGGRAPH. We collaborate with leading academic and industry labs. And we have a direct line from research advances to product impact at scale. This is not a role where research sits behind a wall from engineering — you will see your work matter.What You Will DoResearch & Technical LeadershipOwn post-training strategy for model development — from RLHF and preference optimization to agentic systems and long-horizon reasoningDevelop novel algorithms that improve model reliability, controllability, and alignmentMake principled architectural decisions about when to address challenges at the pre-training, post-training, or system levelDesign and run experiments that shape model behavior, robustness, and reasoning qualityPartner with infrastructure teams to build scalable, reproducible post-training workflowsContribute to publications, patents, and Autodesk's external research visibilityEvaluation & Model QualityDesign evaluation frameworks for long-horizon reasoning, tool use, agentic behavior, safety, and real-world workflow completionLead rigorous model analysis and interpretability effortsDrive human-in-the-loop evaluation with high annotation quality and sound scientific methodologyEstablish model readiness criteria and provide go/no-go recommendations for releasesCommunicate technical risks, limitations, and trade-offs clearly to leadershipTeam & Organizational LeadershipManage, mentor, and grow a team of AI scientistsSet technical direction and research priorities across post-training and alignment initiativesFoster a research culture grounded in scientific rigor, reproducibility, and fast iterationHelp recruit world-class talent across ML, RL, alignment, and foundation modelsPartner closely with pre-training teams, infrastructure, product organizations, and other stakeholdersTranslate research trade-offs into clear, decision-ready guidance for leadershipWhat We Are Looking ForWe care about research judgment and outcomes, not credential checklists. Strong candidates will typically have:Deep hands-on expertise in reinforcement learning for foundation models, and fluency with post-training methods (RLHF, RLAIF, DPO, PPO, or adjacent approaches)Proven experience leading or mentoring technical research teams — whether in an academic lab, AI research organization, or industry settingStrong intuition for model behavior, alignment challenges, and post-training trade-offsExperience designing evaluation systems and thinking rigorously about what it means for a model to be readyAbility to communicate complex technical trade-offs clearly to both technical and non-technical audiencesA PhD or equivalent depth of industry research experience in ML, RL, AI, or a related fieldWe also value, but do not require:Experience at a frontier model lab or advanced applied AI organizationA strong publication record at leading ML or AI venuesBackground in alignment research, preference learning, or agentic AIExperience deploying or supporting production AI systemsFamiliarity with large-scale training infrastructure and compute trade-offsWhat Success Looks LikeIn the first year, success means:Post-trained models show measurable improvements in reliability, alignment, reasoning quality, and domain usefulnessEvaluation metrics and release criteria are trusted and adopted across teamsThe team delivers high-quality research with practical impact — and team members are growing into stronger, more independent researchersLeadership relies on your judgment for model readiness, technical direction, and risk assessmentAutodesk AI Lab advances its reputation as a serious contributor to frontier AI researchAbout Autodesk AI LabAutodesk AI Lab advances state-of-the-art research across generative AI, multimodal foundation models, reasoning systems, and human-AI collaboration. Our work has direct impact across the industries that shape the physical world. We are an active contributor to the global research community and collaborate closely with leading academic and industry labs.At Autodesk, we are building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: London, GBRType: Full time Read Less
  • Software Architect  

    Job Requisition ID #26WD94957Position Overview At Autodesk, we are pio... Read More
    Job Requisition ID #26WD94957Position Overview At Autodesk, we are pioneers in 3D design, engineering, and entertainment software, building tools that empower some of the most creative minds on the planet to solve real-world problems. Recognized by Fortune, Forbes, Glassdoor, and others as a top place to work, we are dedicated to building a diverse and inclusive workplace where innovation and creativity thrive. Autodesk's Architecture, Engineering, and Construction (AEC) Data organization is seeking an experienced Software Architect to join the AEC Data team and define the cloud-native services and distributed-systems architecture that power the AEC Data Model (AECDM) and the many services around it. Data is the domain, but the role is fundamentally one of cloud and services architecture — APIs, service contracts, integrations, distributed-systems design, and the connected data model that ties them together — spanning multiple teams. It is not a data-warehouse or analytics-specialist role. The AEC Data organization is building the foundational data infrastructure behind Autodesk's vision for connected construction: the platforms, services, and unified data models that span the entire built-asset lifecycle, from design and construction through operation and maintenance. This work enables the continuous flow of AEC data (3D models, 2D drawings, issue tracking, cost, sensor streams, and more) across Autodesk products and third-party integrations. The architect will help shape the next generation of capabilities for the Autodesk Forma Industry Cloud, collaborating with software architects, domain experts, and product teams across Revit, Civil 3D, AutoCAD, Autodesk Construction Cloud, and Autodesk Forma. This is a senior individual-contributor role on an established architecture track, reporting to the Distinguished Architect of the AEC Data team, who also serves as the Lead Software Architect. The primary responsibility is to shape how multiple teams design and build — through standards, reference architectures, ADRs, and design-review governance — rather than to own a single service. The exact focus flexes to your strengths and organizational need. Responsibilities API Design & Evolution: Design and evolve API surfaces across the AEC Data services — resource modeling, addressing, versioning and backward-compatible evolution, query APIs, and unifying overlapping surfaces into a single coherent contract. System Architecture: Define and evolve cross-team, cloud-native architecture across the AEC Data services; design distributed systems including service contracts and event-driven flows. Schema Design & Evolution: Design, document, and evolve data schemas for AEC domain entities (buildings, infrastructure, spaces, systems, components, relationships) — including semantic models, property sets, classification systems, and relationship hierarchies. Own versioning, backward/forward compatibility, deprecation, and migration; maintain the schema registry, validation rules, and quality checks. Standards & Governance: Establish standards, reference architectures, and reusable components; author architecture proposals and decision records (ADRs) for review by a cross-org architecture council, and run cross-team design reviews. Prototyping & Feasibility: Evaluate alternative architectural directions through modeling and prototyping, de-risking key decisions before broad adoption. Mentorship & Technical Leadership: Mentor engineers and fellow architects on emerging and established technologies and on architectural practice; grow technical depth across teams. Reliability & Performance: Ensure reliability, security, and performance of systems; define SLOs and drive observability (metrics, tracing, logging). Communication: Communicate architecture with clear views and diagrams (e.g., C4) and executive-ready narratives; produce comprehensive documentation and onboarding materials. Minimum Qualifications Bachelor's degree in Computer Science, or equivalent experience. 10+ years designing cloud-native, distributed systems, including 5+ years at cross-team architect altitude (Software Architect, Principal Engineer, Staff+, or equivalent). Title is flexible; scope of impact is the primary consideration. Deep expertise in cloud services (ideally AWS), API/service design, and distributed-systems patterns (microservices, event-driven, resilience). Solid grounding in data modeling and schema design — including schema definition languages (e.g., JSON Schema), versioning, and backward/forward-compatibility and evolution strategies — as applied both to standalone data schemas and to API contracts. Specialist data-warehouse or analytics architecture is not required. Excellent knowledge of software design and architecture patterns. Demonstrated ability to influence without authority and drive alignment across teams outside the candidate's direct management. Strong leadership and mentoring skills, with a track record of guiding and growing diverse, cross-functional teams. Mastery of conveying complex ideas concisely and persuasively, with excellent verbal, written, and presentation skills across a range of stakeholders. Ability to collaborate with a global team. Preferred Qualifications Preferred qualifications are a menu rather than a checklist: depth in a few core areas matters more than breadth across all of them. The emerging AI/ML capabilities below are advantageous and can be developed on the job; they are not prerequisites. Core: Cloud Services: AWS and its core services (EC2, ECS, Lambda, API Gateway, S3, DynamoDB, RDS). Distributed Systems: Domain-driven service decomposition, data consistency patterns (CQRS, event sourcing, sagas), and multi-tenant/multi-region design. API & Service Design: REST API design and evolution; GraphQL (including federation). Database Architecture: Relational and NoSQL (e.g., DynamoDB, PostgreSQL). Observability/SRE: OpenTelemetry, distributed tracing, metrics/SLOs for data services. Bonus: Semantic Technologies: Knowledge graphs, RDF/OWL, or property graphs — particularly relevant to the connected/semantic AECDM. BIM Expertise: Building Information Modeling concepts, Revit families, or similar parametric modeling systems. AI Systems: RAG, agents/MCP, agentic orchestration (LangGraph, Semantic Kernel), LLM observability, and data governance / AI safety (PII, prompt-injection, content filtering). Domain-Specific AI for AEC: BIM/IFC extraction, CAD or point-cloud processing. Event-Driven Architectures: Kafka or Kinesis; schema registries (Confluent, AWS Glue); exactly-once processing. AEC Domain Knowledge: Experience in the Architecture, Engineering, and Construction industry; familiarity with industry standards (IFC, COBie, gbXML, CityGML, LandXML, UniFormat, OmniClass). Domain onboarding is provided. About the Team The AEC Data team is building the AEC Data Model (AECDM) to enable better AECO (Architecture, Engineering, Construction, Operations) outcomes through more useful, connected, and accessible data. Its scope spans data services and APIs, product and design-tool integrations, and lifecycle/asset data across multiple teams — enabling the seamless flow of information across Autodesk products and third-party integrations so that AEC professionals can make better decisions with better data. Why Join Us Shape the future of AEC data platforms and standards at an industry-leading company. Design systems and schemas used by millions of architects, engineers, and construction professionals worldwide. Collaborate with world-class software architects and engineers across Autodesk's AEC portfolio. Contribute to open standards and interoperability initiatives that benefit the entire industry. Join a team that values technical excellence, innovation, and continuous learning. Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: EMEA - United Kingdom - Offsite/HomeType: Full time Read Less

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