Senior Machine Learning Engineer

Lead Machine Learning Engineer

💸 £120,000–£130,000

🌍 One day a week in London (exceptional circumstances could allow one day a month)

📈 Equity Options

🏖️ 25 Days Holiday + Bank Holidays

💰 Pension matched up to 7%

✈️ Work abroad for up to 3 months

Drive Innovation. Lead the Future of Machine Learning/AI Engineer

Are you ready to lead a world-class Machine Learning team delivering cutting-edge, production-grade systems?

We're looking for a Lead Machine Learning Engineer — a "plug-and-play" leader with proven experience in people management and deep technical expertise — to shape the direction of our GenAI and retrieval-focused streams.

This is a leadership role where you’ll not only design and build advanced machine learning solutions but also line-manage engineers, coordinate delivery across high-impact ML projects, and define the technical bar across the team. Your compensation reflects both the strategic leadership scope and technical excellence expected in this role.

What you'll be doing:

• Lead and manage a team of machine learning engineers — providing mentorship, setting performance standards, and guiding career development.
• Set the technical direction for GenAI and retrieval-based systems, ensuring consistent architecture, tooling, and research-to-production workflows.
• Act as delivery owner across multiple ML streams, coordinating timelines, resources, and cross-functional collaboration.
• Drive best practices for scalable, reproducible, and robust ML system development.
• Be hands-on when needed, contributing to model development and high-impact technical decisions.
• Stay on top of research and emerging trends, bringing innovative approaches to real-world problems.
• Promote a culture of experimentation, open communication, and continuous learning across the team.

What you'll bring:

• Experience line-managing ML engineers and leading delivery across multiple, concurrent ML workstreams.
• Strong technical background in machine learning engineering — with production-level experience in Python, SQL, and frameworks like PyTorch or scikit-learn.
• Deep expertise in GenAI, LLMs, RAG systems, NLP, recommendation engines, or information retrieval stacks.
• Strong understanding of the full model lifecycle — from research and experimentation to deployment and monitoring.
• Familiarity with cloud-based ML infrastructure — especially AWS.
• Clear communication skills, strategic mindset, and the ability to make trade-offs in a fast-moving, startup-style environment.

This is more than just a leadership role — it’s a chance to help shape one of the most advanced Machine Learning teams in the UK. If you're looking to step into a role with real ownership, high impact, and the opportunity to define what great ML engineering looks like, we want to hear from you.