ML/AI Platform Engineer

Requirements

• You combine solid backend engineering with real ML or AI platform experience (ML pipelines, feature stores, model serving, experiment tracking or LLM tooling)
• You’ve designed and operated distributed systems that handle scale, concurrency and failure
• You think like a platform engineer, focused on developer experience and removing friction for internal teams
• You’re happy working across both Go and Python
• You’ve worked with AWS or GCP, and with Kubernetes
• You enjoy ambiguity and want to shape a platform as it grows
• You have experience with strongly typed languages, writing and working on backend software
• You’re curious about how systems behave in production, including reliability, latency, quality, safety and operational risk

What you'll be doing

• Go for backend services, platform APIs and production systems
• Python for libraries, workflows and tooling used by ML engineers and scientists
• ML and AI platform systems such as model serving, evaluation, feature engineering, experiment workflows and LLM infrastructure
• Kubernetes, AWS, GCP, Terraform and Envoy Proxy to run reliable systems in production

Perks and Benefits

• £85,000 - £110,000 + Incentive Awards tied to your performance
• We can help you relocate to the UK
• We can sponsor visas
• This role can be based in our London office, but we're open to distributed working within the UK
• We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team
• Learning budget of £1,000 a year for books, training courses and conferences
• And much more, see our full list of benefits here