SUMMARY:

digiLab is a pioneering AI company that helps enterprises transform complex challenges into innovation with uncertainty quantification, explainable AI and MLOps. Working with organisations in highly regulated or safety-critical industries to solve their complex engineering, infrastructure or data challenges, digiLab specialises in solving problems where data is sparse or uncertain. Having grown from a small team of leading mathematicians and data scientists, digiLab teaches your teams how to solve their grand challenges using a secure AI platform, alongside expert consultancy. digiLab’s platform - the Uncertainty Engine is a no-code agentic AI platform that combines data, models and workflows to connect a trustworthy AI digital thread through an organisation.
As we continue to grow, we are looking for a Senior Machine Learning Engineer to join our talented team in Exeter. You will play a key role in driving the technical aspects of our AI initiatives, leading the development of machine learning models, and supporting client projects.

What Skills We Are Looking For:

• A STEM degree (especially in computer science, data science, or related field).]
• Industry experience in a similar role.
• Proven experience in AI and machine learning, with a strong background in developing and deploying models in real-world settings.
• 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

WHAT YOU WILL BE DOING WITH US:

As the Senior Machine Learning Engineer at digiLab, you will be responsible for:

• Lead the development of machine learning models to solve complex business challenges, ensuring they are production-ready and aligned with client requirements.
• Work with cross-functional teams (R&D, business development, solutions, 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.
• Develop and apply AI workflows for use with digiLab’s central product: the Uncertainty Engine.
• Guide the transition of AI research solutions from low TRL (Technology Readiness Level) into scalable, production-ready systems.
• Basic familiarity with statistical methods, particularly in machine learning.
• Serve as the technical lead on client projects, providing expertise and oversight.
• Collaborate with technical and non-technical stakeholders to translate business requirements into AI solutions that meet their needs.
• Ensure best practices in MLOps, AI/ML frameworks, and cloud-based deployment are followed throughout the development lifecycle.
• Contribute to the innovation and improvement of digiLab’s proprietary AI platform, the Uncertainty Engine.
• Mentor junior team members and provide technical leadership to foster their growth and development.

What Skills We Are Looking For:

• A STEM degree (especially in computer science, data science, or related field).]
• Industry experience in a similar role.
• Proven experience in AI and machine learning, with a strong background in developing and deploying models in real-world settings.
• 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 in a related field
• Experience in using probabilistic machine learning / AI.
• Previous experience in a small start-up environment.

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 week
• Competitive Salary
• BUPA private health care (via salary sacrifice)
• Discretionary EMI scheme (eligible after one year with the company