Lead Machine Learning Engineer
Hybrid (London)Full-timePosted 4mo ago
About the role
Lead role to spearhead technical direction and delivery of complex, innovative AI projects, balancing deep technical expertise with leadership to drive innovation, team growth, and reusable solutions across the organisation.
Responsibilities
- Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.
- Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.
- Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments.
- Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.
- Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.
- Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.
- Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.
Qualifications
- You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.
- Strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
- Expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.
- Hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
- Ability to manage and coach a team of engineers, setting team-wide development goals to improve client delivery.
- Ability to find novel, clever solutions for project delivery and take ownership for successful project outcomes.
- Excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.
Skills
Required:PythonModel deployment / operationalisationCloud providersContainerisation and orchestrationLeadership / people managementCommunication
Last updated Oct 21, 2026. Interested? Apply on the company site.
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