Summary: The Senior Machine Learning Engineer role at a leading PropTech SaaS company involves developing and deploying machine learning models to enhance decision-making and automation in the property sector. The position requires strong Python skills and experience with AWS environments, particularly in deploying ML models. The role is hybrid, requiring occasional presence in London, and offers a contract length of 6 months with potential extensions. The position is classified as outside IR35.

Key Responsibilities:

• Develop and deploy machine learning models within a Service-Oriented Architecture.
• Design and implement transformer models (Hugging Face) and fine-tune them for production use.
• Build and optimise retrieval-augmented generation (RAG) pipelines.
• Work with vector databases to improve data retrieval and recommendation systems.
• Deploy models via APIs in AWS, leveraging services such as Lambda and SageMaker.
• Contribute to application development using LangChain for AI-driven automation.

Key Skills:

• Strong Python development skills.
• Experience with service-oriented application development.
• Proficiency in writing and optimising AWS Lambda functions.
• Experience deploying machine learning models via APIs (AWS preferred).
• Hands-on expertise with transformers (Hugging Face) and fine-tuning models.

Salary (Rate): undetermined

City: Greater London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: Other