ML/AI Platform Engineer

📋 Description

• Build and run ML platform systems to train, evaluate, deploy and serve models.
• Develop backend services and Python libraries for ML workflows.
• Build low-latency tooling for model lifecycle, evaluation and LLM infra.
• Collaborate with internal ML engineers, scientists and product teams.
• Ensure reliability, observability and safety in production ML systems.
• Work with Go and Python across distributed systems.

🎯 Requirements

• Backend + ML/AI platform experience (pipelines, model serving, or LLM tooling).
• Designed and operated distributed systems at scale.
• Focus on developer experience and reducing internal friction.
• Proficient in Go and Python.
• Experience with AWS or GCP and Kubernetes.
• Curious about how systems behave in production (reliability, latency and safety).

🎁 Benefits

• Salary £85,000-£110,000 with incentive awards.
• Visa sponsorship and relocation support.
• Distributed UK remote with occasional London meetings.
• Flexible hours and work-life balance.
• £1,000 learning budget per year.
• Comprehensive benefits package and wellbeing support.