Graduate Machine Learning Engineer Programme

Brit Insurance; City Of London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading insurance firm is seeking a Graduate Machine Learning Engineer to join their Technology & Data team in London. Candidates should have a 2:1 in a STEM degree and programming experience in Python. The role involves designing, training, and deploying machine learning models while supporting AI-driven operational decisions. The firm offers a competitive salary, benefits, and a vibrant team environment.

Benefits

Competitive starting salary

Bonus opportunities

9% non-contributory bonus scheme

Life, medical & dental insurance

Company socials and charity events

Volunteer days

Qualifications

• Achieved or on course for a 2:1 in a STEM degree.
• Programming experience in Python essential.
• Strong analytical and problem-solving skills required.

Responsibilities

• Assisting in designing, training, and testing machine learning models.
• Collaborating with data scientists to transform AI Lab models into production-ready systems.
• Working with MLOps engineers to deploy models and APIs on Azure Cloud.
• Maintaining clear communication with stakeholders regarding technical requirements.

Skills

Programming in Python

Understanding of machine learning techniques

Analytical skills

Problem-solving skills

Adaptability

Clear communication of technical concepts

Education

2:1 in a STEM degree

Job description

Graduate Machine Learning Engineer Programme

Are you passionate about AI and machine learning? Do you want to help shape the future of insurance with cutting-edge technology? Brit Insurance wants to hear from you!

We’re a leading commercial insurance and reinsurance company and the 2nd largest syndicate in the historic Lloyd’s of London marketplace – known for insuring the most complex risks in the world.

Our Technology and Data teams have driven some of the most innovative developments in the London market, from AI-powered underwriting platforms to post-catastrophe property damage algorithms using ultra-high-resolution imagery. As part of our team, you’ll be at the forefront of this digital transformation.

What you can expect?

Join Brit’s Technology & Data team as a Graduate Machine Learning Engineer and help shape the future of insurance at Lloyd’s. You’ll work alongside data scientists and engineers to design, train, and deploy machine learning models, supporting the operationalisation of AI products that drive business efficiency and improve underwriting decisions.

Some of your key responsibilities will include:

• Assisting in designing, training, and testing machine learning models.
• Collaborating with data scientists to transform AI Lab models into production-ready systems.
• Working with MLOps engineers to deploy models and APIs on Azure Cloud.
• Maintaining clear and coherent communication with stakeholders, articulating technical requirements in a meaningful way.
• Contributing to team culture and Agile ways of working in alignment with Brit’s AI Enablement operating model.

What can we offer you?

• Hands-on experience working on cutting-edge AI and machine learning projects in the London insurance market.
• Excellent progression both within and beyond our scheme. We’re a market leader with all the benefits of being a smaller sized company – we value people and behaviours, not numbers.
• Generous package including a competitive starting salary, bonus opportunities, 9% non-contributory bonus scheme and life, medical & dental insurance.
• Weekly company socials, ongoing Lloyds events for our underwriters, seasonal parties and Sports Clubs.
• 2 Volunteer days a year plus company wide charity events and trips.

What do I need?

We’re looking for candidates who have achieved or be on course for a 2:1 in a STEM degree, available to start September 2026. You’ll need programming experience in Python, and a solid understanding of machine learning techniques. You’ll need strong analytical and problem-solving skills, adaptability, and the ability to communicate technical concepts clearly.

What’s the application process?

1. Quick Apply – simply submit your CV. No cover letter needed, though please personalise your CV with a short profile that reflects your interest in Brit Insurance and this graduate opportunity.
2. Online assessment &video interview– a chance to share your motivations, skills, and personality.
3. Assessment Centre – 19th February 2026 (London) – meet our team, experience our culture, and see why Brit Insurance is the right place for you.

Be the future of Brit. Apply today!

Please note that the application window may close early if we receive a high volume of applications so to avoid missing out, do not delay.