Machine Learning Engineer (R02)

digiLab; Exeter; On-site; GBP 40,000 - 70,000

Job description

Please note that only applications with cover letters will be considered.

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 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 are looking for:

The Machine Learning Engineer will work closely with cross-functional teams to develop and deliver AI solutions that solve complex challenges. You will contribute to both the research and practical application of AI solutions, ensuring they meet client needs and are scalable for production environments.

What you will be doing with us:

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

• Development of machine learning models to solve complex business challenges, ensuring they are production-ready and aligned with client requirements.
• 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.
• Work with cross-functional teams (R&D, business development, solutions, and client-facing teams) to deliver high-quality technical solutions on time.
• Supporting the transition of machine learning models from prototypes to production-ready systems.
• Assisting in the deployment and maintenance of AI models and solutions in cloud-based environments (e.g., AWS, Azure).
• Helping to ensure the best practices in MLOps, AI/ML frameworks, and model monitoring are followed throughout the development lifecycle.
• Contributing to the continuous improvement and innovation of digiLab's proprietary AI platform, the Uncertainty Engine.
• Collaborating with senior team members to identify opportunities for growth and improvement in AI/ML capabilities.

What Skills We Are Looking For:

• A STEM degree (e.g., computer science, data science, or a related field).
• Previous experience in machine learning or a similar technical role. We would also consider an excellent computer science graduate with strong theoretical knowledge and a passion for AI.
• Basic 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 Masters 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 are 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.