4 months ago
London, United KingdomStaff+
Responsibilities
- Set technical direction, balance trade-offs, and guide priorities for complex machine learning projects.
- Design, implement, and maintain reliable, scalable ML and software systems while justifying architectural decisions.
- Define project problems, develop roadmaps, and oversee delivery across multiple workstreams in high-risk and ill-defined environments.
- Drive shared resources and libraries across the organisation and guide engineers contributing to them.
- Lead hiring processes, make selection decisions, and mentor multiple engineers.
- Recommend and execute adoption of new technologies and changes to ways of working.
- Act as a technical expert and coach for customers, estimate large workstreams, and defend recommendations to stakeholders.
Requirements
- Strong Python skills and practical experience operationalising models with Scikit-learn, TensorFlow, or PyTorch.
- Expertise in at least one major cloud provider, such as Azure, GCP, or AWS.
- Experience leading teams to build full-stack web applications.
- Hands-on experience with Docker and Kubernetes.
- Ability to manage and coach engineering teams and set team-wide development goals.
- Technical depth and breadth sufficient to solve complex problems and guide architectural decisions.
- Strong ownership, communication, customer-facing consulting, and stakeholder-management skills.
Benefits
- The company is open to conversations about part-time hours.
- The interview process includes a talent screen, role introduction, pair programming interview, system design interview, and commercial and leadership interview.
- Candidates may opt out of the AI note-taker used during interviews.
Tech Stack
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