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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.
