Salary: £40,800 - 40,800 per year Requirements: 5–12 years experience in AI/ML engineering Hands-on experience with GenAI or LLM frameworks Experience with RAG pipelines, embeddings, and vector databases Python development, API creation, microservices, and cloud platforms (preferably GCP) CI/CD pipelines, Docker/Kubernetes, and MLOps/LLMOps Production deployment and monitoring of AI/ML solutions Knowledge of TensorFlow, PyTorch, scikit-learn, or Hugging Face libraries (desirable) Familiarity with API gateways, secure engineering, and performance optimization techniques (desirable) Experience with observability tools and auto-scaling solutions (desirable) Responsibilities: Develop and deploy GenAI and LLM solutions, including prompt engineering and RAG pipelines Build scalable data pipelines and production ML workflows Implement MLOps/LLMOps processes for model versioning, CI/CD, and monitoring Optimize model training and inference performance using modern hardware and frameworks Embed Responsible AI practices (fairness, explainability, bias testing) Collaborate with architects, data scientists, and product teams for solution integration Technologies: AI API CI/CD Cloud Docker GCP Hardware Kubernetes LLM PyTorch Python TensorFlow microservices More: We are a dynamic company based in the United Kingdom, offering a hybrid work model with 2 days in the office. We are looking for a skilled AI Engineer for a 6-month contract at a competitive rate of £465/day (Inside IR35). You will have the opportunity to design, build, and deploy production-ready AI and GenAI solutions while working alongside talented professionals dedicated to pushing the boundaries of AI/ML technology. last updated 17 week of 2026