Negotiable
Inside
Hybrid
London, Manchester, Bristol, Leeds, Edinburgh
Detailed Description From Employer:
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 & 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, governance, and performance optimisation experience