Staff AI/ML Engineer
Cambridge, Cambridgeshire, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Arm Limited
driven applications. Proficiency in Python and common ML/AI libraries; comfortable with full-stack system design from prototyping to production deployment. Familiarity with one or more LLM stacks (OpenAI, Hugging Face Transformers, LangChain etc) Experience with model serving frameworks and scalable deployment strategies Experience with containerisation and orchestration "Nice To Have" Skills and Experience : Exposure to hardware design or More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: