Senior Machine Learning Engineer, Pricing

Zego
London
3 months ago
Create job alert

Description

At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive. 

That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers.

From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do.

We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started.

Who we're looking for

We are looking for a Senior Machine Learning Engineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems.

Key Responsibilities

  • Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models)
  • Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries
  • Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work
  • Collaborate with the technical pricing, street pricing and product teams to gather requirements and feedback on tooling and to build impactful technology
  • Communicate complex concepts to technical and non-technical stakeholders through clear storytelling

Required Skills

  • Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field
  • Experience: Proven experience in ML model lifecycle management
  • Core Competencies:
    • Model lifecycle: You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes
    • Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work
    • Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn
  • Tooling & Environment:
    • DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker
    • Cloud: You have worked with cloud-based environments before (we use AWS)
    • SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake
    • Version control: You are proficient with git
  • Soft Skills: 
    • You are an excellent communicator, with an ability to translate non-technical requirements into clear, actionable pieces of work
    • You have proven your project management skills, with the ability to manage multiple priorities
    • You have worked closely together in cross-functional teams, including with Data Scientists, Actuaries, and Product Managers

Nice To Have

  • Experience in UK motor insurance
  • Telematics Data: Familiarity with behavioural driving data and its application in insurance pricing
  • Understanding of pricing modelling tools such as Akur8 or Emblem
  • Experience with IaC (we use Terraform)
  • Experience with gRPC/protobuf

What’s it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. 

We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want.

You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter. 

How we work

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it’s a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life.

Our approach to AI

We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well.

Benefits

We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters! 

There’s more to Zego than just a job - Check out ourblogfor insights, stories, and more.

We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

#LI-IL1

#LI-Hybrid

Related Jobs

View all jobs

Data Science Manager

Data Science Manager - ML / AI - Insurance

Quantitative Researcher (Staff Data Scientist)

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - 3D

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.