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Datatonic
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  • Chief Solution Architect (Pre-sales, AI + Data Transformation)Reportin... Read More
    Chief Solution Architect (Pre-sales, AI + Data Transformation)Reporting to: Managing Director, UK&IAs Google Cloud's premier partner in AI and Data Transformation, we provide world-class businesses with the strategic consulting and technical execution required for cutting-edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs.The RoleDatatonic is seeking a Chief Solution Architect as the first hire in our new pre-sales function to help shape, qualify, and win our most strategic data, AI, and Agentic transformations. This role sits at the intersection of data & AI consulting, technical advisory, and industry storytelling. You will partner with the Account Manager and technical/engineering leadership to grow our most strategic accounts across Telecommunications, FSI, Media, and Agencies.You will help take our clients along a transformative journey in their thinking about what is possible with data and AI. This will result in large-scale engagements with direct links to the C-suite. You will run early discovery, define solutions, shape SOWs, and represent Datatonic’s offerings in the market.You do not need to manage people, but you must be exceptional with technical and business stakeholders, able to build trust quickly, and comfortable presenting at C-suite and architect levels.What You’ll DoPre-Sales LeadershipLead early discovery alongside Sales: understand business pain points, qualify opportunities, and translate ambiguity into structured technical narratives.Take an insight-led approach to bring industry best practices in data and AI to shape and guide clients’ strategic transformationsArchitect data, ML, and GenAI solutions on Google Cloud.Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery.Support RFP responses, solution reviews, and deal strategy for opportunities and accounts 1m+.Strategic AdvisoryFacilitate client workshops on AI strategy, platform modernization, and GenAI readiness, with a lens toward bringing our clients along on a transformative journey in their approach to data and AI.Build POVs and architecture options that balance business value, feasibility, and cost.Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design.Thought Leadership, GTM & Vertical ExpertiseRepresent Datatonic on site at client, at events, conferences, partner sessions, and executive dinnersWork with our GTM team to create industry-relevant content (decks, briefs, POVs) tailored for Telecommunications, FSI, Media, and Agencies and help shape our offering by surfacing patterns, reusable architectures, and packaged solutions.Work with the Office of the CTO and our Architecture delivery team to establish standards, handbooks, and technical best practices for data and agentic deployments.Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators.What You Bring7–12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre-sales or client-facing advisory role.Strong knowledge of cloud-based architectures (including infrastructure, data architecture, governance), application design, and Generative and Agentic AI concepts and deployments.Hands-on depth in GCP is ideal, but strong AWS/Azure SAs with a proven ability to cross-skill to GCP quickly will be considered.Excellent written and verbal communication; able to simplify complex technical ideas for business leaders.A consultative sales approach with experience shaping deals over $1M.Comfortable presenting to C-suite, negotiating trade-offs, and influencing stakeholders.Ideally, a track record in at least one of our verticals: Telecommunications, FSI, Media, and AgenciesWhat Success Looks Like (first 12 months)Consistently shaping and winning large scale data and AI transformations for our biggest clients.Recognized by Sales as the go-to technical partner for complex pursuits.Recognized by Delivery for the accuracy of SOW scoping and technical leadership when needed.Trusted by strategic accounts as a value-driven advisor.Strong contribution as a thought leader to vertical narratives, events, and Datatonic’s GTM.LocationLondonEmployment TypeFull timeLocation TypeOn-siteDepartmentSales Read Less
  • Client Partner  

    - London
    Client PartnerShape the Future of AI & Data with UsAt Datatonic, we ar... Read More
    Client PartnerShape the Future of AI & Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. The Mission: Driving Enterprise TransformationWe are a rapidly scaling Data & AI consultancy, and we are looking for a Senior Client Partner to join our team. This is not a standard account management role. We seek a strategic leader who thrives on long-term, transformational journeys with enterprise clients, delivering multi-million-pound engagements that redefine their business through data and AI.You will be the commercial and strategic nexus of our significant client relationships. This role requires exceptional experience in navigating complex corporate landscapes and a desire to be an owner in a fast-paced, high-growth scale-up environment. If chaos and change excite you, and you have a proven track record of selling and expanding huge pieces of technical work, let’s talk. What you will deliverAs a Senior Client Partner, your focus is on driving strategic revenue through deeply embedded, high-value relationships:Own the Transformation Pipeline: Strategically identify, qualify, and land new enterprise clients, demonstrating where our Data & AI expertise can deliver unprecedented, measurable business value.Deepen Enterprise Accounts: Develop and execute comprehensive 1-3 year account plans for existing clients, proactively mapping out the next phase of their transformation journey and expanding our footprint through strategic follow-on engagements.Navigate the C-Suite: Establish and maintain trusted-advisor relationships with C-level and SVP stakeholders across technology, product, finance, and business units, acting as the commercial lead for all Master Services Agreements (MSAs) and strategic contract negotiations.Commercial Leadership & Value Realisation: Ensure every piece of work (new and existing) is scoped, priced, and delivered to a standard that guarantees client success, enabling you to articulate the ROI and secure continuous investment.Scale-Up Growth Owner: Balance the pursuit of new logos with the exponential growth of current accounts, serving as a proactive force for revenue generation in a dynamic, high-ambiguity setting. What you will bringProven Enterprise Consulting Experience: Significant professional experience in a client-facing role, specifically selling and leading multi-year, strategic engagements within the Data, AI, or advanced Technology Consulting space.Scale-Up DNA: A genuine enthusiasm for working in a fast-paced, high-growth, scale-up environment. You must be resilient, adaptable, and see opportunity in rapid change and operational fluidity.Strategic Relationship Architect: Demonstrated ability to build sophisticated stakeholder maps, navigate complex decision-making processes within large organisations, and exert influence across technical and commercial functions (Engineering, Data Science, Product, C-Suite).Value-Driven Commercial Leader: A track record of identifying business pain points and translating complex technical solutions (e.g., ML platforms, GenAI strategy, Big Data architecture) into clear, compelling business outcomes and financial justifications.Consultative Approach: Exceptional 'listen-first' skills, with the ability to lead the conversation, tailor messaging to different audiences, and challenge client assumptions constructively.A Powerful DifferentiatorDeep Domain Expertise: Extensive experience managing and growing enterprise-level accounts in sectors such as TMT (Technology, Media, Telecom), Retail, CPG, or Finance.Infectious Technical Passion: A true passion for modern technology. You are genuinely enthusiastic about the practical application of AI, Machine Learning, and Cloud Data Analytics, and you communicate this passion effectively to both technical and non-technical audiences.What’s in It for You?We believe in empowering our team to thrive, with benefits including:Holiday: 25 days plus bank holidays (obviously!)Health Perks: Private health insurance (Vitality Health) and Smart Health ServicesFitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).Hybrid Model: A WFH allowance to keep you comfortable.Learning & Growth: Access to platforms like Udemy to fuel your curiosity.Why Datatonic?Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.LocationLondonEmployment TypeFull timeLocation TypeOn-siteDepartmentSales Read Less
  • Account Executive  

    - London
    Account Executive (Academy Team)Italian SpeakerDatatonic Academy is th... Read More
    Account Executive (Academy Team)Italian SpeakerDatatonic Academy is the award winning Google Cloud Training Partner arm of Datatonic. The business has grown rapidly, and this role is an opportunity to be part of the Academy at an exciting time.The RoleAs an Account Executive, you will be the primary point of contact for our customers and partners. You will bridge the gap between customer expectations and flawless execution, ensuring our customers receive a world-class training experience from initial scoping to post-delivery follow-up.While the core of this role focuses on our training operations, planning, and logistics, it includes more traditional account management tasks to support our growth and there is room to expand into an Account Manager role longer term.Your ResponsibilitiesPartner & Customer Relationship ManagementOrganise and facilitate training scoping calls with customers to understand their learning objectives.Act as the main point of contact for our in-house trainers and partner contractors, ensuring they are fully briefed, prepared, and scheduled for upcoming deliveries.Nurture long-term customer relationships by conducting post-delivery follow-ups, ensuring satisfaction, and proactively addressing any feedback or concerns.Collaborate with internal consulting teams and external Google Cloud Account Teams to co-create tailored training proposals and strategic learning plans for our customers.Customer Experience & Delivery OperationsManage end-to-end training logistics to ensure a seamless customer journey, including sending calendar invitations, setting up virtual classrooms, and managing trainer schedules.Own the feedback loop by gathering and monitoring class feedback, sharing insights with instructors, and proactively using data to elevate the customer experience.Support the Training Operations Manager and Head of Customer Training on the day-to-day delivery ecosystem.Business EnablementCompile necessary data for the Finance team's month-end billing process to ensure accurate client invoicing.Identify process inefficiencies within the customer journey or partner onboarding and suggest proactive improvements.Contribute strategically to shaping the future of our training business and client satisfaction strategies in AMER and EMEA.What We Are Looking ForWe are looking for someone who enjoys working with customers as well as executing operational administrative tasks.Customer-Centric Mindset: You genuinely enjoy building trustful relationships, managing customer expectations, and delivering excellent service.Organisational Excellence: High attention to detail with the ability to juggle multiple customer requests and manage logistics simultaneously. Ability to quickly re-prioritise tasks and consistently meet deadlines.Communication Skills: Proactive and collaborative communication, verbal and written.Genuine Interest in AI: Keen to learn about AI and apply the knowledge in their day-to-day work (we will support you to get certified as a Google Cloud Gen AI Leader).Growth Mindset: Open to new concepts and ideas and get stuck in to test them out.Adaptability: Happy to work in an environment where processes can change quickly and comfortable working in a remote setting.LocationLondonEmployment TypeFull timeLocation TypeRemoteDepartmentAcademy Read Less
  • Machine Learning Engineer  

    - London
    Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud... Read More
    Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.Your MissionAs a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.What You’ll DoTranslating Requirements: Interpret vague requirements and develop models to solve real-world problems.Data Science: Conduct ML experiments using programming languages with machine learning libraries.GenAI: Leverage generative AI to develop innovative solutions.Optimisation: Optimise machine learning solutions for performance and scalability.Custom Code: Implement tailored machine learning code to meet specific needs.Data Engineering: Ensure efficient data flow between databases and backend systems.MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.What You’ll BringExperience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.Cloud Expertise:Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.Software Engineering: Hands-on experience with foundational software engineering practices.Database Proficiency: Strong knowledge of SQL for querying and managing data.Scalability: Experience scaling computations using GPUs or distributed computing systems.ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.Bonus Points If You Have:Scale-up experience.Cloud certifications (Google CDL, AWS Solution Architect, etc.).What’s in It for You?We believe in empowering our team to thrive, with benefits including:Holiday: 25 days plus bank holidays (obviously!)Health Perks: Private health insurance (Vitality Health) and Smart Health ServicesFitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).Hybrid Model: A WFH allowance to keep you comfortable.Learning & Growth: Access to platforms like Udemy to fuel your curiosity.Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)Life Insurance:(3 x your base salary!)Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work SchemeTech Scheme Why Datatonic?Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.LocationLondonEmployment TypeFull timeLocation TypeOn-siteDepartmentTechnical Delivery Read Less
  • Senior Machine Learning Engineer  

    - London
    Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud... Read More
    Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.Your MissionAs a SeniorMachine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.What You’ll DoTranslating Requirements: Interpret vague requirements and develop models to solve real-world problems.Data Science: Conduct ML experiments using programming languages with machine learning libraries.GenAI: Leverage generative AI to develop innovative solutions.Optimisation: Optimise machine learning solutions for performance and scalability.Custom Code: Implement tailored machine learning code to meet specific needs.Data Engineering: Ensure efficient data flow between databases and backend systems.MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.What You’ll BringExperience: 4+ years as a Machine Learning Engineer, preferably with a consulting background.Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.Cloud Expertise:Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.Software Engineering: Hands-on experience with foundational software engineering practices.Database Proficiency: Strong knowledge of SQL for querying and managing data.Scalability: Experience scaling computations using GPUs or distributed computing systems.ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.Bonus Points If You Have:Scale-up experience.Cloud certifications (Google CDL, AWS Solution Architect, etc.).What’s in It for You?We believe in empowering our team to thrive, with benefits including:Holiday:  25 days plus bank holidays (obviously!)Health Perks: Private health insurance (Vitality Health) and Smart Health ServicesFitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).Hybrid Model: A WFH allowance to keep you comfortable.Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)Life Insurance:(3 x your base salary!)Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work SchemeTech Scheme Why Datatonic?Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.LocationLondonEmployment TypeFull timeLocation TypeOn-siteDepartmentTechnical Delivery Read Less
  • Principal Google Cloud Architect  

    - London
    Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud... Read More
    Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.Your MissionAs Principal Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science.Successful candidates will bring multiple years’ experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.What You’ll DoInnovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.What You’ll BringEducational Background: Bachelor’s or Master’s degree in Computer Science or a related technical discipline.Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.Bonus Points If You Have:Certifications: Google Cloud or AWS Certified Solutions Architect certification.ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.Agile Methodologies: Familiarity with Agile frameworks, including Scrum.Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.What’s in It for You?We believe in empowering our team to thrive, with benefits including:Holiday: 25 days plus bank holidays (obviously!)Health Perks: Private health insurance (Vitality Health) and Smart Health ServicesFitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).Hybrid Model: A WFH allowance to keep you comfortable.Learning & Growth: Access to platforms like Udemy to fuel your curiosity.Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)Life Insurance: (3 x your base salary!)Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work SchemeTech Scheme Why Datatonic?Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.LocationLondonEmployment TypeFull timeLocation TypeOn-siteDepartmentTechnical Delivery Read Less
  • Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud... Read More
    Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.Your MissionAs a Senior DevOps Engineer, you will play a key role in establishing and enhancing DevOps practices within our clients' organisations. This opportunity is ideal for someone who has gained initial experience in a DevOps role or for a Software Engineer seeking to transition into the DevOps field.We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.What You’ll DoPipeline Development: Collaborate with clients to design and implement robust DevOps pipelinesBest Practices Advisory: Provide expert advice to customers on DevOps best practicesFunction Optimisation: Establish and enhance DevOps functions within clients’ organisationsStakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless deliveryWhat You’ll BringDevOps Experience: 4+ years of experience in the DevOps field or as a Software EngineerProgramming Skills: Proficiency in Python, Java, or Go programming languagesCI/CD Expertise: In-depth knowledge of CI/CD tools and processesTech Enthusiasm: Strong passion for technology and a drive to continuously learnTeam Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiastsBonus Points If You Have:Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environmentContainerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and KubernetesSRE Principles: Experience in implementing Site Reliability Engineering (SRE) principlesCloud Native Architecture: Hands-on experience with cloud-native architectures, ideally on Google CloudClient-Facing Role: Prior experience in a client-facing positionSDN Knowledge: Understanding of Software Defined Networking (SDN) on Google CloudWhat’s in It for You?We believe in empowering our team to thrive, with benefits including:Holiday: 25 days plus bank holidays (obviously!)Health Perks: Private health insurance (Vitality Health) and Smart Health ServicesFitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).Hybrid Model: A WFH allowance to keep you comfortable.Learning & Growth: Access to platforms like Udemy to fuel your curiosity.Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)Life Insurance: (3 x your base salary!)Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work SchemeTech Scheme Why Datatonic?Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.LocationLondonEmployment TypeFull timeLocation TypeOn-siteDepartmentTechnical Delivery Read Less
  • Pre-Sales AI & Data Transformation Architect  

    - Greater London
    A technology consulting firm in Greater London is seeking a Chief Solu... Read More
    A technology consulting firm in Greater London is seeking a Chief Solution Architect to spearhead pre-sales efforts and drive transformative client engagements in data and AI. This role involves collaborating with account managers, leading discovery processes, and delivering insight-driven solutions. Ideal candidates will possess extensive experience in data and analytics, cloud architectures, and strong communication skills for client interactions, especially at the C-suite level. This position offers a path to influence strategic data transformations across various industries. #J-18808-Ljbffr Read Less

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