Machine Learning Engineer

Machine Learning Engineer

London, UK — Contract. Daily rate 500-600 GBP.

AWS ML stack:
Sage Maker (training, fine‑tuning, endpoints), Bedrock (foundation models, embeddings, agents), Step Functions, Lambda, S3, DynamoDB. Build production ML end‑to‑end pipelines; fine‑tune models (LoRA, PEFT); evaluate and monitor models with MLOps practices (model registry, CI/CD, monitoring, drift detection). Work on RAG and embeddings: vector databases (Open Search Serverless, FAISS), chunking strategies, retrieval evaluation, knowledge‑base architectures. Develop in Python and apply ML frameworks (PyTorch, Hugging Face Transformers) and data tooling (pandas, Num Py, PySpark).

Explore spatial/geometric ML for constraint optimization, generative and parametric design, layout algorithms, spatial reasoning. Integrate LLMs: prompt engineering, function calling, agentic architectures, NLP for domain‑specific tasks such as code compliance and design narration. Apply software engineering fundamentals: APIs, containerisation (ECS/Docker), IaC (CDK or Cloud Formation), CI/CD.

• AWS
• Python
• Machine learning
• MLOps
• LLM
• Py Spark
• RAG
• CI/CD
• NLP
• API
• Docker
• Cloud formation