Related skills
docker python kubernetes git circleci📋 Description
- Own design, development, and productionisation of ML models used in care
- Build monitoring, evaluation, and alerting for drift and performance
- Partner with Product Managers to turn problems into ML solutions
- Collaborate with data scientists and engineers to productionise models in scalable systems
- Provide technical leadership to improve ML quality, reliability, and maintainability
🎯 Requirements
- 5+ years' experience as ML Engineer or Data Scientist
- 5+ years' production Python code
- Experience with Git, Docker, Kubernetes, CircleCI
- Experience productionising Generative AI workstreams or Agentic AI
- Fundamentals of Generative AI: LLMs, VLMs, transformers, fine-tuning
- Strong ML fundamentals and evaluation techniques including GenAI evaluation
🎁 Benefits
- High autonomy to own ML problem spaces that impact trust/experience
- Mentoring and development programmes to support growth
- Headspace, Gympass and other wellbeing benefits
- Global workforce with active employee communities
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