Senior ML Engineer – On-Site (Exeter/Bristol) Backend Leader

DIGILAB; Exeter; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

BUPA private health care (via salary-s

Company Cashplan

Cycle to work scheme

Referral Program

Regular social events such as pizza

Job summary

digiLab in the United Kingdom is seeking a Senior Software Engineer (Machine Learning) to advance the Uncertainty Engine, collaborating across product, ML research, and cloud-backed services.

You will own backend APIs, integrate ML libraries, and drive software quality from design to production, using Python, FastAPI, Docker, and DevOps practices.

The role is on-site at Exeter or Bristol, offering an engaging, fast-paced environment with strong emphasis on collaboration and high performance.

Qualifications

• Significant industry experience in (scientific) software development.
• Proven experience building production APIs with FastAPI (or similar async Python frameworks).
• Strong working knowledge of modern machine learning — able to understand, integrate, and extend the functionality of an ML library (NumPy, SciPy, Pandas, and frameworks such as scikit-learn or PyTorch).
• Understanding of core ML concepts — model training, evaluation, and production trade-offs — enough to design robust interfaces around them.
• Experience with DevOps and MLOps.
• Degree-level qualification in computer science or related field
• Deep understanding of Python
• Familiarity with Linux, bash, and the command line
• Ability to write logical, consistent, self-explanatory code
• Understanding of software design patterns, SOLID and DRY principles, and architectural patterns
• Experience with Git/GitHub and best practices
• Knowledge of the software testing pyramid and types of automated testing (smoke, component, unit, performance, load, end-to-end)
• Experience with Docker and other containerisation platforms
• Proven ability to collaborate in a fast-paced, agile team, preferably using Scrum
• Experience with UI/UX design principles (Nice to Have)
• Experience deploying cloud infrastructure as code (e.g. AWS) (Nice to Have)
• An understanding of Bayesian statistics (Nice to Have)
• Experience with accessibility, inclusive design or motion design (Nice to Have)

Responsibilities

• Collaborate with a cross-functional team to help lead the design, development, and maintenance of high-quality software solutions.
• Consume and extend our internal machine learning library to surface ML functionality to users through the backend.
• Design and build the scalable, high-performance backend services and APIs that deliver functionality to users, applying security best practices throughout.
• Implement software design patterns, SOLID principles, and architectural best practices.
• Own CI/CD pipelines and deployments, keeping production systems reliable and performant.
• Provide technical support and lead incident investigations.
• Champion Scrum and contribute to team process improvements.
• Collaborate with product management to translate business requirements into technical solutions.
• Foster a collaborative, learning-oriented environment within the team.
• Adopt AI tools to assist and accelerate your work.

Skills

Python

FastAPI

ML libraries

Docker

GitHub

Linux

CI/CD

Scrum

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

GitHub

FastAPI

Linux

CI/CD tooling

Cloud platforms (AWS)

Job description

digiLab in the United Kingdom is seeking a Senior Software Engineer (Machine Learning) to advance the Uncertainty Engine, collaborating across product, ML research, and cloud-backed services.

You will own backend APIs, integrate ML libraries, and drive software quality from design to production, using Python, FastAPI, Docker, and DevOps practices.

The role is on-site at Exeter or Bristol, offering an engaging, fast-paced environment with strong emphasis on collaboration and high performance.