Senior Machine Learning Engineer

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 we're looking for: 

The Senior Machine Learning Engineer will work closely with cross-functional teams to develop and deliver AI solutions that solve complex challenges. You will contribute to the development and deployment of products that incorporate uncertainty quantification, explainable AI, and MLOps practices.

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.

Location: 

This role is a full-time role (Monday - Thursday) based on-site at digiLab's offices on the Quay, Exeter. 

Our Culture and Values

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

If you're excited about shaping the future of AI and working on innovative projects that make a real-world impact, we'd love to hear from you!

Please
note that while we strive to respond to every applicant, due to the
high volume of applications, we may not be able to provide feedback to
every candidate.