https://jobs.co.uk/job/ai-engineer-contract-ai-cloud-hamilton-barnes--f5e4a394-eedb-44e3-a267-be9a9006db5b RSS feed for AI Engineer (Contract) - AI Cloud at Hamilton Barnes. en-gb Thu, 09 Jul 2026 16:16:13 GMT https://jobs.co.uk/job/ai-engineer-contract-ai-cloud-hamilton-barnes--f5e4a394-eedb-44e3-a267-be9a9006db5b https://jobs.co.uk/job/ai-engineer-contract-ai-cloud-hamilton-barnes--f5e4a394-eedb-44e3-a267-be9a9006db5b Thu, 09 Jul 2026 11:52:43 GMT Location: London | Salary: 475.00-475.00 Daily | Type: Contract | Location: London, Manchester, Bristol, Leeds, Edinburgh (Hybrid - 2 days onsite) Duration: 6 months Rate: £475/day The Role We''re looking for an AI Engineer to design, build, and deploy scalable AI/ML and GenAI solutions. You''ll work across the full life cycle-from data pipelines to production-delivering real-world impact in modern cloud environments. Key Responsibilities Build and deploy end-to-end AI/ML solutions Develop LLM/GenAI applications (prompting, fine-tuning, RAG pipelines) Optimise model performance (latency, scalability, cost) Design APIs and microservices for AI integration Implement MLOps/LLMOps pipelines (CI/CD, deployment, monitoring) Ensure Responsible AI and production reliability Required Skills 5-12 years in AI/ML engineering Strong Python experience Hands-on with LLMs/GenAI (eg Gemini, open-source models) Experience with RAG, embeddings, and vector databases API development andamp; microservices architecture CI/CD and containerisation (Docker, Kubernetes) GCP experience (BigQuery, Vertex AI, Dataflow, Pub/Sub) Nice to Have TensorFlow/PyTorch/Hugging Face MLOps/LLMOps best practices Observability tools (Prometheus, Dynatrace, LangSmith) Security,... Contract