I am working with a consultancy feeding into the public sector, looking for multiple ML Engineers.
Inside IR35
 400 - 500 per day (depending on experience level)
Remote (occasional London travel) 
- Proven experience building and deploying machine learning models in a production environment. 
- Strong programming skills and deep expertise in Python. 
- Hands-on experience building with agentic or RAG (Retrieval-Augmented Generation) frameworks like LangChain or LlamaIndex. 
- Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). 
- Practical experience using managed AI services and foundation models from a major cloud provider (e.g., Amazon Bedrock, Google Vertex AI, Azure AI Services). 
- Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). 
- A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch).
Desirable (but not essential) experience:- Working with tools/interfaces for AI applications e.g. MCP protocol. 
- Training traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. 
- Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) 
- Experience with observability and evaluation tools for LLMs such as TruLens or Helicone. 
- Experience with AI safety and reliability frameworks like Guardrails AI.