Senior Machine Learning Engineer
£90-120k
5-15% equity
UK Remote (go to London to meet team)
Why Join?
- Personalised medicine start up
- Tech for good
- Solutions benefiting 500 million +
- Freedom to pick tools, technology
- Generous equity package
- Work directly with founder
- Chance to work with agentic workflows
Responsibilities:
- Use your expertise to apply machine learning techniques (eg reinforcement learning, optimization, dee learning, causal inference)
- Design and develop recommendation and personalisation systems
- Design and develop tools to accelerate ML product delivery
- Be the ML leader, deciding the ML strategy
- Research, design, and implement machine learning algorithms and models to build new AI systems
- Enhance the quality of these systems by incorporating techniques like Retrieval-Augmented Generation (RAG) and agent-like experiences
- Mentor junior ML engineers
- Stay current with the latest developments in machine learning and related fields, and apply cutting-edge techniques to enhance capabilities
- Take on leadership responsibilities for AI/ ML team, over a period of handover with the head of (as you transition into a lead)
Requirements:
- Significant commercial Machine Learning experience
- Proven track record in leading ML (NLP) R&D projects to production-ready solutions; creative problem-solving skills are essential
- Experience across the entire ML project lifecycle
- Strong software engineering skills in Python
- Experience in designing or significantly influencing the architecture of ML systems
- Experience with popular LLM frameworks (Langchain, Llamaindex, RAG, HuggingFace, and eval frameworks like Ragas or Presidio)
- Experience building applications utilising LLM APIs, including techniques like RAG
Desirable:
- Degree/Master's/PhD in a technical field such as Computer Science or Machine Learning
- Knowledge of cloud platforms
- Agentic workflows
Apply now for more details.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.