Machine Learning Engineering Manager in Peterborough

Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we’re a purpose‑driven business powered by tech and AI. We’re building high‑performing, results‑driven teams with the skills, mindset, and ambition to deliver outcomes at pace.

As a Machine Learning Engineering Manager in our Data & AI Solutions team, you will lead a team building and owning production systems at the heart of our AI platform. That means real‑time inference APIs serving millions of customers, batch data products powering intelligent decision‑making, and LLM‑based agentic solutions spanning both customer‑facing products and internal tools that shape how the wider team works.

Responsibilities:

• Lead and develop a team of ML engineers, creating the conditions for them to deliver robust, scalable systems into production.
• Collaborate closely with data scientists to move prototypes into high‑quality production systems.
• Drive team planning, estimation, and sprint delivery – ensuring projects are delivered on time and to a high standard.
• Ensure every system your team ships connects to a real outcome and has a mechanism to improve over time.

Growing Your Team:

• Develop your team of machine learning engineers through regular feedback, technical mentorship and honest career conversations.
• Contribute to hiring, helping bring in people who combine technical rigour with curiosity and commercial awareness.
• Foster a team environment where ambition and delivery reinforce each other.
• Contribute to standards and practices across the wider Data & AI Solutions chapter.

Technical Leadership:

• Set the standard for ML and AI engineering quality, reproducibility, and production‑readiness across your team.
• Take ownership of how the team approaches production health.
• Contribute to the design and evolution of our ML and AI tooling and shared platform components.
• Be hands‑on in design sessions, code reviews, and architectural decisions.
• Guide your team through a fast‑moving tooling landscape spanning classical ML, LLM‑based systems, and agentic AI patterns.
• Champion responsible, auditable AI.
• Encourage and model the use of AI‑assisted development tools within your team.

Stakeholder Partnership:

• Work closely with data, product, commercial and engineering leads to translate strategic priorities into well‑scoped work.
• Represent your team’s work and capability to senior stakeholders.
• Help shape platform direction by feeding back requirements from applied ML delivery.

The Essentials:

• Experience leading engineering teams focused on machine learning, ML platforms and AI systems.
• Proven track record deploying and managing ML and AI systems in production at scale.
• Strong Python and ML and AI engineering fundamentals.
• Understanding of infrastructure‑as‑code and CI/CD for ML systems.
• Clear communication: able to make technical work legible to commercial and product audiences.
• Experience working in agile environments with clear accountability to delivery.
• A degree in a quantitative discipline, or equivalent experience with production ML and AI systems.

Highly Valued:

• Hands‑on experience with LLM‑based systems.
• Familiarity with multi‑step AI patterns.
• Understanding of experimentation at scale and the infrastructure needed to run it well.
• Experience building or managing internal ML platforms, experimentation frameworks, or feature stores.
• Interest in responsible AI and model governance practices.

Why Compare the Market?

We’re a business built for pace and performance. Here, you’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.