Lead Machine Learning Engineer
Hybrid (Remote (UK))Full-timePosted 7mo ago
About the role
Lead role responsible for setting technical direction, delivering complex AI projects, and mentoring teams within Faculty’s Defence Engineering focus, with on-site UK travel and eligibility for UK Security Clearance.
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
- Technical expert with deep specialization and breadth of knowledge to solve problems.
- Strong Python skills and practical experience operationalising models using 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.
- Experience managing and coaching a team of engineers and setting development goals.
- Demonstrated ability to find novel, clever solutions for project delivery and ownership of outcomes.
- Excellent communication skills with ability to guide technical teams and non-technical stakeholders.
Skills
Required:PythonCloud platformsDockerKubernetesLeadershipCommunication
Benefits
- Not explicitly listed in the description.
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Faculty
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Faculty partners with organisations to enhance performance through cutting-edge artificial intelligence solutions, driving real-world impact.
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