> Markdown version of [/jobs/ext/4679788-ai-ml-engineer-manchester](https://www.wearedevelopers.com/jobs/ext/4679788-ai-ml-engineer-manchester). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & ML Engineer- Manchester - **Company:** FDM Group - **Location:** London, United Kingdom - **Salary:** £66,879 - **Contract:** Temporary contract - **Skills:** A/B Testing, Artificial Intelligence, Cloud Database, Continuous Integration, Data Retrieval, Monitoring of Systems, Python (Programming Language), Machine Learning, Pytorch, Autoscaling, ReactJS, Retrieval-Augmented Generation, Agentic-AI, Drift Detection, Docker, KServe - **Published:** November 12, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5962865786 ## About the Role * Strong Python and PyTorch experience. * An understanding of transformer architecture and agent architectures such as ReAct. * Experience with RAG. * GCP knowledge, plus experience with Docker and cloud databases. * Experience serving models through containers and KServe/Vertex endpoints. * Experience with feature and model registries, CI/CD, model monitoring and drift detection. * Experience with autoscaling, GPU scheduling, canary and shadow deployments, and A/B testing. ## Description * Design, build and fine-tune AI/ML models using Python and PyTorch, including transformer-based architectures. * Develop agent-based solutions using agent architectures such as ReAct. * Build RAG solutions, working with cloud databases and data retrieval components. * Package and serve models using Docker containers and KServe/Vertex endpoints on GCP. * Manage feature and model registries, and build CI/CD pipelines for model training and deployment. * Implement model monitoring and drift detection to keep models performing in production. * Release models safely using canary and shadow deployments and A/B testing. * Optimise infrastructure costs and performance through autoscaling and GPU scheduling.