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digiLab Solutions
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  • Machine Learning Engineer  

    - Exeter
    In a world of immense uncertainty, digiLab is a pioneering AI company... Read More
    In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety-critical or highly regulated industries to solve critical, complex, and high-stakes challenges using machine learning and uncertainty quantification. From forging a path to clean energy to life-saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through. Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision-makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions. Summary:  Machine Learning Engineers play a key role in driving the technical aspects of our AI initiatives by developing machine learning models and supporting the delivery of solutions for client benefit. This role involves close collaboration with cross-functional teams to develop and deliver AI solutions that solve complex challenges. ML Engineers contribute to both the research and practical application of AI solutions, ensuring they meet client needs and are scalable for production environments.
    The role: As a Machine Learning Engineer at digiLab, you will be responsible for: Application of machine learning models to solve complex business challenges, ensuring they are production-ready and aligned with client requirements.Working with cross-functional teams (business development, sales, forward deployed engineering and client-facing teams) to deliver high-quality technical solutions on time.Working with clients to solve complex data driven problems in fields ranging from nuclear fusion to healthcare, Collaborating with technical and non-technical stakeholders to translate business requirements into AI solutions that meet their needs.Developing and applying AI workflows for use with digiLab's central platform: the Uncertainty Engine.Supporting the transition of machine learning models from prototypes to production-ready systems, e.g. contributing to libraries, writing nodes and workflows to implement ML approaches.Assisting in the deployment and maintenance of AI models and solutions in cloud-based environments (e.g.  AWS, Azure).Contributing to the continuous improvement and innovation of digiLab's proprietary AI platform, the Uncertainty Engine.Helping to ensure that best practices in MLOps, AI/ML frameworks, and model monitoring are followed throughout the development lifecycle.Collaborating with senior team members to identify opportunities for growth and improvement in AI/ML capabilities.
    Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth.
    Required Skills & Experience: A STEM degree (especially in computer science, data science, maths or a related field),Previous experience in machine learning or a similar technical role. Familiarity with statistical methods, particularly in machine learning.Strong programming skills in Python, with experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Familiarity with cloud-based deployment of machine learning models (AWS, Azure, etc.).A basic understanding of MLOps practices and their application in real-world settings.Strong problem-solving and analytical skills, with the ability to break down complex technical challenges.Good communication skills and the ability to collaborate with both technical and non-technical stakeholders.A collaborative and proactive mindset, with an eagerness to learn and grow within the team. 
    Nice to Have: A Master's degree or PhD in a related field.Experience in using probabilistic machine learning/AI.Previous experience in a small start-up environment.
    Location:  This role is based on-site at either the Exeter or Bristol office. As an ambitious, rapidly-growing start-up, we're looking for proactive, adaptable people who thrive in a fast-paced environment. Our standard working hours are 9.00–5.30pm, Monday to Thursday, though some flexibility outside these hours may be required to meet business needs.

    Our Culture and Values

    At digiLab, we prioritise work-life balance with a 4-day workweek (Monday to Thursday), offering a full-time salary and three-day weekends every week! Our team is built on strong connections, with regular socials like game nights, bouldering, and paddleboarding. We foster a culture of innovation, trust, and collaboration. Our values include: Creativity & Agility: Encouraging innovation and flexibility in goal achievement.Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation.Open & Honest Collaboration: Ensuring transparent communication and alignment.High-Performance Standards: Continuously challenging ourselves to excel in delivery.Value-Driven Work: Regularly assessing our contributions toward company goals.
    Benefits: We value enthusiasm and loyalty, and we're committed to offering a great work-life balance. Along with the exciting challenges this role provides, we offer a range of benefits including: 4-day working weekCompetitive SalaryBUPA private health care (via salary sacrifice)Company Cashplan Cycle to work scheme Referral Program Company Events Discretionary EMI scheme (eligible to be considered after one year with the company; participation is not guaranteed and is entirely at the company's discretion.)
    Equal Opportunities: digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously. 
    Final Note: We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. The information you provide will be stored and used in line with our Privacy Notice. Read Less
  • Senior Machine Learning Engineer  

    - Exeter
    In a world of immense uncertainty, digiLab is a pioneering AI company... Read More
    In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety-critical or highly regulated industries to solve critical, complex, and high-stakes challenges using machine learning and uncertainty quantification. From forging a path to clean energy to life-saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through. Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision-makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions. Summary:  Senior Machine Learning Engineers play a key role in driving the technical aspects of our AI initiatives, leading the development of machine learning models, and guiding the delivery of solutions for client benefit.. This role involves close collaboration with cross-functional teams to develop and deliver AI solutions that solve complex challenges. Senior ML Engineers contribute to both the research and practical application of innovative AI solutions, ensuring they meet client needs and are scalable for production environments.

    The role:  As a Senior Machine Learning Engineer at digiLab, you will be responsible for: Leading the development of machine learning approaches to solve complex business challenges, ensuring they are production-ready and aligned with client requirements.Working with cross-functional teams (business development, sales, forward deployed engineering and client-facing teams) to deliver high-quality technical solutions on time.Working with clients to solve complex data driven problems in fields ranging from nuclear fusion to healthcare.Developing and applying AI workflows for use with digiLab's central product: the Uncertainty Engine.Guiding the transition of AI research solutions from low TRL (Technology Readiness Level) into scalable, production-ready systems.Serving as the technical lead on client projects, providing expertise and oversight.Collaborating with technical and non-technical stakeholders to translate business requirements into AI solutions that meet their needs.Ensuring best practices in MLOps, AI/ML frameworks, and cloud-based deployment are followed throughout the development lifecycle.Contributing to the innovation and improvement of digiLab's proprietary AI platform, the Uncertainty Engine.Mentoring junior team members and providing technical leadership to foster their growth and development. Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth.

    Required Skills & Experience: A STEM degree (especially in computer science, data science, or related field).Substantial industry experience in a similar role.Extensive experience in AI and machine learning, with a strong background in developing and deploying models in real-world settings.Familiarity with statistical methods, particularly in machine learning.Strong programming skills in Python, with hands-on experience in AI/ML frameworks and cloud-based deployment (e.g., AWS, Azure).Experience with MLOps practices and the ability to implement robust, scalable AI systems.A track record of successfully transitioning research solutions into production.Excellent problem-solving and analytical skills, with the ability to navigate complex technical challenges.Strong communication skills, with the ability to articulate technical concepts to a diverse audience, including non-technical stakeholders.A collaborative mindset, capable of working effectively within a team and with external stakeholders. Nice to Have: A Master's degree or PhD in a related field.Experience in using probabilistic machine learning / AI.Previous experience developing individuals or teams.Previous experience in a small start-up environment. Location:  This role is based on-site at either the Exeter or Bristol office. As an ambitious, rapidly-growing start-up, we're looking for proactive, adaptable people who thrive in a fast-paced environment. Our standard working hours are 9.00–5.30pm, Monday to Thursday, though some flexibility outside these hours may be required to meet business needs.
    Our Culture and Values

    At digiLab, we prioritise work-life balance with a 4-day workweek (Monday to Thursday), offering a full-time salary and three-day weekends every week! Our team is built on strong connections, with regular socials like game nights, bouldering, and paddleboarding. We foster a culture of innovation, trust, and collaboration. Our values include: Creativity & Agility: Encouraging innovation and flexibility in goal achievement.Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation.Open & Honest Collaboration: Ensuring transparent communication and alignment.High-Performance Standards: Continuously challenging ourselves to excel in delivery.Value-Driven Work: Regularly assessing our contributions toward company goals. Benefits: We value enthusiasm and loyalty, and we're committed to offering a great work-life balance. Along with the exciting challenges this role provides, we offer a range of benefits including: 4-day working weekCompetitive SalaryBUPA private health care (via salary sacrifice)Company Cashplan Cycle to work scheme Referral Program Company Events Discretionary EMI scheme (eligible to be considered after one year with the company; participation is not guaranteed and is entirely at the company's discretion.) Equal Opportunities: digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously.  Final Note: We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team.  The information you provide will be stored and used in line with our Privacy Notice.
    Read Less
  • Executive Assistant  

    - Exeter
     In a world of immense uncertainty, digiLab is a pioneering AI company... Read More
     In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety-critical or highly regulated industries to solve critical, complex, and high-stakes challenges using machine learning and uncertainty quantification. From forging a path to clean energy to life-saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through. Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision-makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions. Summary:  The role of Executive Assistant (EA) to members of the Executive team is designed to support the Chief Growth Officer and Director of Product at digiLab . This full-time position reports to the Chief of Staff. This is not a traditional Executive Assistant role. This is a high-trust, high-responsibility position at the nerve centre of a fast-growing AI company with global ambitions. As digiLab scales, the impact and focus of our executives must scale exponentially. This role exists to make that happen. You will operate close to decision-making, protecting executive focus by owning time, information, communication, and operational flow as one coherent system. You will anticipate what's coming, remove friction early, and turn strategic intent into consistent, high-quality execution. Although we are a 4-day week company (working days Monday - Thursday), at times, the nature of this role may require availability outside of these hours to respond to communications and requests.  The ability and willingness to do so are a key aspect of the position. This is a demanding role by design. It is not about instruction-taking. It is for someone who thrives on responsibility, autonomy, pace, and raising the bar. The Role:  As an Executive Assistant at digiLab, you will operate in a busy, varied, and high-impact role, providing senior-level partnership that enables executives to focus on the highest-value growth activities, combining strong traditional EA capability with proactive judgement, initiative, and the ability to bring clarity to complexity, structure to growth, and momentum to execution—anticipating needs often before they are articulated. Areas of Responsibility Be a mature, confidential, and strategic partner to our executive(s): Act as a true gatekeeper of time, energy, and focus — prioritising effectively to maximise impactOwn and optimise executive calendars, communications, and information flowTranslate ideas and strategy into clear actions, ensuring follow-through without requiring oversightAnticipate risks, identify friction early, and proactively solve problemsProvide calm stability during periods of growth, change, and transitionCreate structure without introducing unnecessary bureaucracy — enabling agile scalingSupport decision-making by ensuring the right information is surfaced at the right time

    Stakeholder & Business Impact Build strong, trusted relationships with internal and external stakeholders (clients, partners, investors, suppliers)Maintain a highly professional, welcoming presence on behalf of the executive teamIn collaboration with marketing colleagues, support the development and management of brand digiLab, being a Brand Ambassador for the company both internally and externally.Play a key role in maintaining strong cross-team communication and cohesion digiLab Culture :  Our culture is one of our most prized assets, and a core part of our identity as a business.  An important part of your role as EA will be to: Understand and reflect digiLab's culture, both internally and to external stakeholders (clients, investors etc)Play a key role in ensuring the digiCulture is sustained as we grow across industries and locations Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth.
    Required Skills:  To thrive in our fast-moving, scaling AI start-up, you will need adaptability, resilience, sound judgement under pressure, genuine curiosity about the technology we build, and the ability to combine warmth with sharp professionalism in one of the organisation's most visible roles. Essential qualities for the role are: Excellent time management, organisation and problem-solving skills.High level of professionalism, discretion, and attention to detail.Proven experience in an Executive Assistant or similar roleEnthusiastic and positive attitudeAbility to work independently and anticipate the needs of executives.Proven ability to collaborate and work well as part of a teamExcellent communication and interpersonal skills.Exhibit a strong work ethic In addition, some ‘nice to haves' are:  Degree-level qualification or equivalent
    Location:  This role is based on-site at digiLab's offices on the Quay, Exeter, though you may be required to travel at times to fulfil the role, as the executives you will be supporting may not all be located in Exeter. Remote working is not possible for this role, as it requires close collaboration and liaison with the Executive team.Our Culture and Values

    At digiLab, we prioritise work-life balance with a 4-day workweek (Monday to Thursday), offering a full-time salary and three-day weekends every week! Our team is built on strong connections, with regular socials like game nights, bouldering, and paddleboarding. We foster a culture of innovation, trust, and collaboration. Our values include: Creativity & Agility: Encouraging innovation and flexibility in goal achievement.Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation.Open & Honest Collaboration: Ensuring transparent communication and alignment.High-Performance Standards: Continuously challenging ourselves to excel in delivery.Value-Driven Work: Regularly assessing our contributions toward company goals. Benefits: We value enthusiasm and loyalty, and we're committed to offering a great work-life balance. Along with the exciting challenges this role provides, we offer a range of benefits including: 4-day working weekCompetitive SalaryBUPA private health care (via salary sacrifice)Company Cashplan Cycle to work scheme Referral Program Company Events Discretionary EMI scheme (eligible to be considered after one year with the company; participation is not guaranteed and is entirely at the company's discretion.)
    Equal Opportunities: digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously.  Final Note: We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team.  The information you provide will be stored and used in line with our Privacy Notice. Read Less
  • Staff Scientist  

    - Bristol
    In a world of immense uncertainty, digiLab is a pioneerin... Read More
    In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety-critical or highly regulated industries to solve critical, complex, and high-stakes challenges using machine learning and uncertainty quantification. From forging a path to clean energy to life-saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through. Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision-makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions. Summary:  A Staff Scientist contributes strongly to scientific development within theLab by owning and advancing significant areas of research, shaping scientific agendas and standards, and representing theLab's work with external credibility and authority. Operating with significant autonomy and external visibility, Staff Scientists steward internationally credible research programmes, contribute materially to theLab's scientific reputation, and influence the intellectual culture of the organisation through technical excellence and thought leadership — without transitioning into organisational or operational management. The Role:  In this role, you will shape theLab's research trajectory and external scientific presence:  Own and lead significant fields, programmes, or portfolios of scientific inquiry, shaping research direction, priorities, and standards.Design and guide coherent research projects and programmes that advance theLab's long-term scientific capability and strategic intent.Engage with real-world problems as contexts for scientific inquiry, leading work to test, refine, and apply research ideas to achieve tangible impact.Exercise deep scientific judgement on complex or ambiguous problems, setting expectations for rigour, methodology, and interpretation.Act as a scientific authority in external engagements, partnerships, and collaborations, representing theLab's work and contributing to its reputation.Contribute to theLab's research profile through publication in top tier journals, open repositories, conference participation, and other externally visible outputs.Provide structured technical and intellectual mentorship to scientists across theLab, supporting the development of technical depth, judgement, and expertise.Shape and steward research-grade tools, libraries, and methodological frameworks as scientific artefacts, ensuring they support reproducibility, clarity, and reusability within research contexts.Influence theLab's scientific culture by exemplifying high standards of rigour, curiosity, openness, and constructive challenge. Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth.
    Ways of working Remain scientifically engaged through review, synthesis, and judgement, maintaining sufficient depth of understanding to credibly arbitrate priorities, standards, and trade-offs across theLab.Collaborate closely with the Director of AI to ensure research agendas are viable, well-supported, and appropriately resourced.Engage with Product and delivery teams through bounded scientific authority and consultation, without assuming ownership of execution. Required Skills:  Advanced qualification (PhD or equivalent research experience) in AI, machine learning, computational science, mathematics, physics, or related discipline.Internationally recognised and evidenced track record of scientific contribution in one or more areas of technical specialisation.Demonstrated experience designing and leading research programmes or portfolios.Strong publication record and evidence of sustained external scientific engagement.Deep expertise in AI/ML methodologies, modelling, and evaluation frameworks.Ability to synthesise developments across multiple fields and identify long-term research opportunities.Experience contributing to major research collaborations and/or funding applications.Exceptional scientific judgement and ability to define and uphold rigorous standards. Location:  This role is based on-site at digiLab's offices on the Quay, Exeter/Bristol/Oxford or Hybrid with frequent visits to the office. As an ambitious, rapidly-growing start-up, we're looking for proactive, adaptable people who thrive in a fast-paced environment. Our standard working hours are 9.00–5.30pm, Monday to Thursday, though some flexibility outside these hours may be required to meet business needs.
    Our Culture and Values

    At digiLab, we prioritise work-life balance with a 4-day workweek (Monday to Thursday), offering a full-time salary and three-day weekends every week! Our team is built on strong connections, with regular socials like game nights, bouldering, and paddleboarding. We foster a culture of innovation, trust, and collaboration. Our values include: Creativity & Agility: Encouraging innovation and flexibility in goal achievement.Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation.Open & Honest Collaboration: Ensuring transparent communication and alignment.High-Performance Standards: Continuously challenging ourselves to excel in delivery.Value-Driven Work: Regularly assessing our contributions toward company goals. Benefits: We value enthusiasm and loyalty, and we're committed to offering a great work-life balance. Along with the exciting challenges this role provides, we offer a range of benefits including: 4-day working weekCompetitive SalaryBUPA private health care (via salary sacrifice)Company Cashplan Cycle to work scheme Referral Program Company Events Discretionary EMI scheme (eligible to be considered after one year with the company; participation is not guaranteed and is entirely at the company's discretion.) Equal Opportunities: digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously.  Final Note: We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team.  The information you provide will be stored and used in line with our Privacy Notice.
    Read Less

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