About the role
We are building our AI engineering capability to serve the growing demand for LLM integration, agentic AI, and MLOps from our UK and EU enterprise clients. As a Senior AI/ML Engineer you will lead the design and delivery of production AI systems — not prototypes. You will work closely with client engineering teams and our internal product squads to ship AI features that are reliable, observable, and maintainable.
Tech stack
Python
LLMs
LangChain
PyTorch
AWS
What you will do
- Design and build production-grade LLM integrations (RAG pipelines, tool-use agents, fine-tuning workflows)
- Develop agentic AI systems using frameworks such as LangChain, LlamaIndex, or custom orchestration
- Implement and maintain MLOps infrastructure: model serving, monitoring, evaluation pipelines, and cost controls
- Collaborate with product and engineering teams to scope, prototype, and productionise AI features
- Define and run evals to measure model output quality, latency, and safety before and after deployments
- Contribute to internal AI tooling that augments the productivity of our entire engineering team
What we are looking for
- 4+ years of software engineering experience with at least 2 years focused on ML or AI systems in production
- Deep proficiency in Python and the modern AI/ML ecosystem (PyTorch, Hugging Face, LangChain, etc.)
- Hands-on experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source models)
- Strong understanding of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and embedding models
- Experience deploying and monitoring ML models in cloud environments (AWS SageMaker, GCP Vertex, or equivalent)
- Strong written and spoken English for daily client communication
- Ability to translate ambiguous business requirements into concrete AI system designs
Nice to have
- Experience with multi-agent frameworks (AutoGen, CrewAI, or custom orchestration)
- Knowledge of model fine-tuning, RLHF, or preference optimisation
- Background in fintech, healthcare, or other regulated industries where AI outputs carry high stakes
- Contributions to open-source AI projects or published research
Apply for this role
We review every application personally and reply within 5 business days.