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 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 Machine Learning Software Developer will work closely with the Data Science and Software Engineering teams to develop reliable, robust software that advances the modelling capabilities of digiLab’s core product.

**What you will be doing with us:**

As a Machine Learning Software Developer at digiLab, you will be responsible for:

• Develop high-quality, maintainable, and reproducible software tools and libraries to support innovative AI research and applications.
• Implement best practices in software engineering, testing, and continuous integration/ deployment.
• Work with cross-functional teams (R&D and Product teams) to develop and deliver new features through digiLab’s proprietary platform - the Uncertainty Engine.
• Actively contribute and maintain digiLab’s proprietary ML library that drives the Uncertainty Engine.
• Contribute to the continuous improvement of digiLab’s proprietary ML library through active research and collaboration with the R&D team.
• Helping to ensure the best practices in MLOps, AI/ML frameworks, and model monitoring are followed throughout the development lifecycle..
• Engage in ongoing professional development to enhance your technical skills and domain knowledge.

**What Skills We Are Looking For:**

• A STEM degree (e.g., computer science, mathematics or a related field).
• Familiarity with best practices in software development, including version control (Git), testing, continuous integration, and deployment.
• Familiarity with fundamental concepts in Machine Learning.
• Strong programming skills in Python, with experience in AI/ML frameworks (e.g., JAX, PyTorch, Scikit-learn).
• Familiarity with cloud-based deployment of machine learning models (AWS, Azure, etc.).
• Strong problem-solving skills with an ability to deep-dive into technicalities of different Machine Learning concepts.
• Excellent communication skills and the capability to collaborate effectively with technical and non-technical team members.
• A collaborative and proactive mindset, with an eagerness to continuously learn, improve and grow within the team.

**Nice to Have:**

• A Master’s degree in Computer Science, Mathematics, or a related discipline.
• Familiarity with Probabilistic Machine Learning and Statistics.
• Experience with cloud platforms (preferably in AWS).
• Experience working in a research-focused or innovative startup 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 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 week
• Competitive Salary
• Cycle to work scheme
• 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!

#### To register your interest in this position, email your C.V. and covering letter to [email protected] and quote the job reference humber: G07.