5 hours ago
London, United KingdomSenior
Responsibilities
- Lead technical scoping and architectural decisions for high-impact machine learning systems.
- Design and build production-grade ML software, tools, and scalable infrastructure.
- Define and implement standards and best practices for deploying machine learning at scale.
- Collaborate with engineers, data scientists, product managers, and commercial teams on client challenges and opportunities.
- Advise customers and partners on technical strategies and translate complex concepts for non-technical stakeholders.
- Mentor junior engineers and contribute to engineering culture and technical depth.
Requirements
- Significant experience across the full machine learning lifecycle, including operationalising models built with TensorFlow or PyTorch.
- Deep software engineering expertise and strong Python skills focused on robust, reusable systems.
- Hands-on experience architecting cloud platforms such as AWS, Azure, or GCP, including security and infrastructure.
- Extensive experience with Docker and Kubernetes for building and managing applications at scale.
- Strong ownership, autonomy, communication, and stakeholder-guidance skills.
- May need eligibility for UK Security Clearance (SC) and willingness to work onsite with government clients from time to time.
Benefits
- The role may offer part-time hours by discussion.
- Occasional onsite work with government clients may be required.
- The interview process includes a talent screen, pair programming interview, system design interview, and commercial interview.
- Candidates may opt out of the AI note-taker used during interviews.
Tech Stack
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