AI Engineer
Job in
London, Greater London, W1B, England, UK
Listed on 2026-10-13
Listing for:
Myn
Contract
position Listed on 2026-10-13
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect
Job Description & How to Apply Below
We're recruiting a Staff AI Engineer for a senior contract role leading LLM/GenAI, agentic systems and production ML. You'll set technical direction, architect and deliver high-impact AI systems end to end, raise engineering standards and mentor other engineers, working with a high degree of autonomy on business-critical problems.
Location:
London, UK
Day rate: £800–£900 per day (IR35 status to be confirmed)
Contract:
Initial 6–12 months, likely extension
- Define the technical strategy and architecture for AI products and platforms
- Lead delivery of production AI systems, including LLM applications, RAG, agents and fine-tuned models
- Build evaluation frameworks and quality gates, including offline benchmarks and online experimentation
- Architect scalable inference, data and MLOps infrastructure, optimising latency, reliability and cost
- Lead build-versus-buy and model/vendor decisions, presenting trade-offs to senior stakeholders
- Establish responsible AI practice across safety, bias testing, privacy and governance
- Mentor engineers and raise the technical bar through design and code reviews
- 8–12 years' software or ML engineering experience, with 3–5 years shipping production AI/ML at senior or staff level
- Track record of leading complex AI projects from problem definition to production impact
- Expert Python skills and deep experience with PyTorch or Tensor Flow and modern LLM tooling
- Strong experience designing evaluation methods for ML and LLM-based systems
- Proven MLOps and cloud production experience, including containers, CI/CD and monitoring
- Excellent communication and influencing skills with senior stakeholders
- Right to work in the UK
Desirable: agentic systems, RAG, fine-tuning and vector search; MSc/PhD or published research and open-source contributions;
Spark, Databricks, Snowflake or Kafka; regulated environments.
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