Senior Machine Learning Engineer

We're partnered with an intelligence-driven technology company operating at the cutting edge of AI, who is hiring a Senior ML Engineer to build next-generation systems powered by LLMs, RAG, and agentic workflows. This is a rare opportunity to work on high-impact AI products solving complex, real-world problems at serious scale.

This is a hands‑on engineering role. We’re looking for someone who can write high-quality code, architect systems properly, and deploy to production at scale.

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• Designing and deploying LLM-powered systems with multi-step reasoning and tool orchestration
  
• Building agentic workflows using LangGraph (commercial experience required)
  
• Developing and optimising RAG pipelines, vector search, and semantic retrieval systems
  
• Shipping production-ready APIs and microservices for real-time AI applications
  
• Owning LLMOps, evaluation, monitoring, latency and cost optimisation
  
• Architecting systems that process and analyse large-scale, heterogeneous data streams
  

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• Strong, hands‑on Python coding ability (essential)
  
• 1+ year of commercial LangGraph experience (essential)
  
• Proven experience building and shipping LLM / Agentic AI systems into production at scale
  
• Deep experience with RAG, vector databases (e.g. Pinecone, Weaviate), embeddings
  
• Experience integrating and fine‑tuning foundation models
  
• Strong understanding of distributed systems, microservices, and streaming architectures
  
• Production experience with Docker and infrastructure‑as‑code (e.g. Terraform, CloudFormation)
  
• Track record of delivering reliable, scalable AI systems with real-world impact
  

You’ll join a team building high-impact AI systems deployed in real-world environments, solving complex, high-stakes problems with modern LLM and agent frameworks.

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• High-autonomy, high-impact engineering environment
  

If you’ve built agentic AI systems in production, have genuine LangGraph experience, and enjoy solving complex problems with clean, scalable code — we’d love to hear from you.

Get in touch for full info - submit your CV, or reach out to Carol Donnelly on