19 days ago
London, United KingdomStaff+
Responsibilities
- Design, implement, and maintain reliable, scalable machine learning systems for production environments.
- Drive shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines.
- Create APIs and services that integrate models with infrastructure and enable scalable AI functionality in applications.
- Lead multiple complex workstreams, define project problems, and establish technical roadmaps in high-risk environments.
- Define testing frameworks, model versioning systems, engineering standards, and architecture patterns for production-grade agentic systems.
- Manage and coach multiple individuals while setting team-wide development goals.
- Recommend new technologies and AI frameworks to maintain technical and market competitiveness.
- Align multidisciplinary technical teams with business objectives and evolving customer needs.
Requirements
- Expertise in defining technical roadmaps and managing priorities for high-stakes outcomes.
- Mastery of cloud-native ecosystems and orchestration tools such as Kubernetes, including complex model lifecycles and CI/CD pipelines.
- Proven ability to design large-scale AI-powered platforms and justify critical architectural decisions.
- Expert-level experience operationalizing models with frameworks such as TensorFlow or PyTorch.
- Experience defining engineering standards and architecture patterns for agentic systems.
- Exceptional ability to align multidisciplinary technical teams with business objectives and customer needs.
- Eligibility for UK Security Clearance (SC) may be required because of government client work.
- Willingness to work on site with government clients from time to time may be required.
Benefits
- Part-time hours are open for discussion.
- The recruitment process includes a talent screening, hiring manager introduction, pair programming interview, system design interview, and commercial and leadership interview.
Tech Stack
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