Role: Senior AI/ML Engineer
Location: Manchester, UK
Type: Contract inside IR35
Mode: Hybrid (2 days per week onsite)
Domain: Banking
Core engineering
Strong production Python engineering, API development, automated testing and asynchronous or distributed service patterns.
Deep learning
Hands-on PyTorch experience and strong understanding of transformer architecture, inference and model evaluation.
Agentic AI
Experience with ReAct or comparable agent patterns, including tool calling, memory, reasoning and orchestration.
RAG & retrieval
Production RAG, embeddings, chunking, indexing, vector search, retrieval/ranking and grounding techniques.
Google Cloud
GCP knowledge with Vertex AI, cloud compute/storage and cloud databases; GKE experience is advantageous.
Containers & serving
Docker plus model packaging and serving using KServe, Vertex AI endpoints or equivalent Kubernetes-native platforms.
MLOps lifecycle
Feature/model registries, CI/CD, continuous training, model monitoring, version management and drift detection.
Scale & release
Cost-efficient autoscaling, GPU scheduling, canary and shadow deployment, rollback strategies and A/B testing.