Define and execute the strategic vision for ML across Operations and adjacent business areas
Define reusable ML architectures and modelling standards adopted by multiple teams
Guide the development of complex systems that serve as the foundation for multiple products and problem spaces
Act as a senior technical authority, setting best practices and architectural patterns for ML across the organization
Collaborate with Engineering, Product, and Leadership teams to integrate ML-driven solutions into core business processes
Advocate for and implement responsible AI practices, ensuring fairness, robustness, and transparency in our models
Mentor and coach ML practitioners at all levels, fostering a culture of continuous learning and innovation
Engage with the broader ML community, sharing knowledge through conferences, blog posts, and open-source contributions

Requirements

Proven track record of leading large-scale ML initiatives with tangible business impact, preferably in a fast-moving tech company
Led the development and adoption of reusable ML modelling patterns, architectures, or infra across large organizations
Experience developing state-of-the-art deep learning models, LLMs, and advanced AI architectures
Industry expert in ML model development, deployment, and MLOps at scale
Deeply comfortable with Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch)
Experience working in a microservices architecture (Go Lang experience is a plus)
Extensive experience with real-time ML applications, reinforcement learning, graph-based models, and/or NLP
Ability to communicate complex ML concepts to technical and non-technical audiences, influencing senior stakeholders and executives
Thrive in ambiguous, fast-changing environments with a proactive, problem-solving mindset
A passion for mentoring, can elevate the ML skill set across the organization influencing both cross-functional and executive strategy

Benefits

We can help you relocate to the UK
We can sponsor visas
This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)
Flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team
Learning budget of £1,000 a year for training courses and conferences
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learninglarge language modelsMLOpsPythonSQLTensorFlowPyTorchreinforcement learningnatural language processing

Soft Skills

mentoringcoachingcommunicationproblem-solvinginfluencingcollaborationcontinuous learninginnovationadaptabilityleadership