Senior Machine Learning Engineer

Job Description

Senior Machine Learning Engineer

£90-120k

5-15% equity

UK Remote (go to London to meet team)

Why Join?

Personalised medicine start upTech for goodSolutions benefiting 500 million Freedom to pick tools, technologyGenerous equity packageWork directly with founderChance 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 systemsDesign and develop tools to accelerate ML product deliveryBe the ML leader, deciding the ML strategyResearch, design, and implement machine learning algorithms and models to build new AI systemsEnhance the quality of these systems by incorporating techniques like Retrieval-Augmented Generation (RAG) and agent-like experiencesMentor junior ML engineersStay current with the latest developments in machine learning and related fields, and apply cutting-edge techniques to enhance capabilitiesTake 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 experienceProven track record in leading ML (NLP) R&D projects to production-ready solutions; creative problem-solving skills are essentialExperience across the entire ML project lifecycleStrong software engineering skills in PythonExperience in designing or significantly influencing the architecture of ML systemsExperience 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 LearningKnowledge of cloud platformsAgentic 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.