Principal Software Engineer - MLOps

We are eager to find a Principal Software Engineer to join our Analytics Tech engineering group. This role will focus on building experimental computer vision pipelines to improve underwriting analysis. Within this role you will help to train model pipelines, working collaboratively in a data‑science and engineering team.

Experience and skills we need:

• Experience packaging and deploying Hugging Face models as containerized APIs (FastAPI) on the managed Kubernetes service.
• Ensure GPU compatibility and memory provisioning for large models.
• Experience with containerization, CUDA/NVIDIA drivers, dependency management, and EC2/GPU instance workflows.
• Previous ability integrating with existing labeling workflows.

Experience and skills we’d love:

• Have worked in the development of cloud-native solutions, ideally working with AWS.
• The experience in working with a GPU would be an advantage.

What you’ll be doing:

• Be part of a team who are working to solve complex business problems by delivering high-quality software that provides an outstanding experience for our customers.
• With the support of more senior team members, contribute to the architecture or design in your area of work.
• Write clean code in line with the team’s set standards. Look for ways to improve your team’s coding standards.
• Own, scope and deliver well defined deliverables or stories. Communicate and update your progress regularly at stand‑ups or similar agile events.
• Mentor and guide more junior team members to deliver well defined features, functions or components.
• Collaborate closely and cooperatively with your technical and non‑technical teams to work towards the best solution that maximises value to the customer.
• Contribute to a culture of code quality and implement automated, unit and integration testing as part of the software development lifecycle. Apply good security processes such as threat modelling to the code you develop.
• Implement your team’s approach to delivering high quality, tested code. Maintain and improve CI/CD pipelines. Play a lead role in code reviews and actively review pull requests from other team members.
• Grow your knowledge of architecture, modern engineering principles and design patterns.
• Assess the business value of new technologies and technical solutions using a data‑driven approach and implement them to the development life cycle.
• Supported by senior team members, seek opportunities to share and celebrate what you’ve learned through internal tech talks, blogging and external events.

What’s on offer

• Flexible work patterns including compressed working and 4 day working weeks from your first day at Liberty IT.
• Feel safe and secure whatever life brings, with health insurance (including access to a digital doctor), life assurance and income protection.
• Enjoy both today and tomorrow with employee discount schemes, annual bonuses and a competitive pension.
• Protect your wellbeing with flexible working and a real work‑life balance. Specifically, we have adopted a hybrid remote and in‑office working culture, meaning you have ultimate flexibility in your work environment.
• Grow yourself, your career and reputation through continuous learning, promotion opportunities and our generous recognition programme.

About Us

Liberty IT is the tech wing of Liberty Mutual Insurance. Bringing peace of mind to all aspects of customers’ lives, every day.

We’re an ideas company. Always. We thrive on engineering excellence and surpass with technical mastery. We build beautifully architected cloud solutions and reliably run high stability systems. We work alongside the best in the business and learn from the finest minds.

Great Place to Work in UK & Ireland 2025

Best Workplaces for Women (UK) 2025

Centre of Excellence in Wellbeing

Fair employment and equal opportunities

Liberty IT is an equal opportunity employer, committed to inclusion and diversity.

If you have a disability, accommodations are available on request when taking part in all aspects of the recruitment, assessment, and selection process.