26 days 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 to solve client challenges.
- Advise customers and partners on technical strategies and translate complex concepts into actionable plans.
- Mentor junior engineers and contribute to the team’s engineering culture and technical depth.
Requirements
- Significant experience across the full machine learning lifecycle, including operationalizing models built with TensorFlow or PyTorch.
- Deep software engineering expertise and strong Python skills focused on robust, reusable systems.
- Hands-on experience architecting, securing, and managing infrastructure on AWS, Azure, or GCP.
- Extensive experience with Docker and Kubernetes for building and managing applications at scale.
- Strong ownership, autonomy, and project delivery skills in fast-paced, high-growth environments.
- Excellent communication skills with technical teams and senior non-technical stakeholders.
- Eligibility for UK Developed Vetting (DV) may be required for government-client work.
Benefits
- The role may involve occasional on-site work with government clients.
- Part-time hours may be open for discussion.
- The interview process includes a talent team screen, pair programming interview, system design interview, and commercial interview.
Tech Stack
Categories
Forward Deployed
