Reinforcement Learning Engineer
AI Platform and Research Machine Learning Engineering
£126,000–£210,000/year (£10,500–£17,500/month) — Negotiable
Team and product context
- Team
- AI Platform and Research
- Specialization
- Machine Learning Engineering
- Product family
- AI platform
Research, machine learning, language, vision, prompt engineering and data work across AI products.
Explore our products and servicesJob Description
Work on reinforcement-learning and preference-optimisation workflows for model behaviour improvement. The role focuses on reward modelling, PPO or DPO pipelines, diagnostics, and reproducible training runs.
Requirements
- Practical experience with reinforcement learning, preference optimisation, or RLHF-style workflows
- Strong Python and deep-learning framework skills
- Familiarity with reward modelling, PPO, DPO, training diagnostics, or evaluation design
- Ability to reason about data quality, policy drift, and training stability
- Strong Python and deep-learning framework skills
- Familiarity with reward modelling, PPO, DPO, training diagnostics, or evaluation design
- Ability to reason about data quality, policy drift, and training stability
Responsibilities
- Build and maintain RL or preference-optimisation training workflows
- Monitor training diagnostics and investigate instability or regressions
- Work with research and infrastructure teams on repeatable experiments
- Document model-behaviour changes and release implications
- Monitor training diagnostics and investigate instability or regressions
- Work with research and infrastructure teams on repeatable experiments
- Document model-behaviour changes and release implications
Benefits
- Work on applied model-improvement workflows with infrastructure support
- Collaborate with research, safety, and ML platform teams
- Help set standards for preference-data quality and training reliability
- Collaborate with research, safety, and ML platform teams
- Help set standards for preference-data quality and training reliability
How we hire
The sequence and format can vary by role.
Application
Initial review
Relevant assessments
Interviews
Decision
Offer and onboarding
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