Hybrid Senior Machine Learning Engineer

at Accurx

• Job title: Senior Machine Learning Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: £100,000 - £115,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, Go
• Location requirements: Hybrid, London, United Kingdom

About the role

• Senior Machine Learning Engineer developing ML systems for healthcare communication technology at Accurx. Join our mission-driven team to solve real-world problems in healthcare.

Responsibilities

• take ownership of the end-to-end technical design of ML systems - from data ingestion and training pipelines through to deployment and real-time monitoring - ensuring AI features are performant, observable, and easy to debug.
• act as the primary technical partner to our Data Scientists, evolving experimental code into high-quality, extensible library modules and building reusable components that improve developer efficiency and reduce cycle times across the team.
• translate complex clinical and product objectives into efficient computational tasks, selecting the right tools - whether Deep Learning, NLP, or off-the-shelf - and making smart build-vs-buy trade-offs that align with Accurx's long-term technical goals.
• help turn one-off experiments into repeatable platform capabilities, building models and systems that can be adopted by other Accurx product teams and proactively resolving cross-team dependencies as new, more efficient AI models are rolled out.

Requirements

• extensive experience with a variety of ML techniques (e.g. Transformer-based NLP, Deep Learning, Tree-based methods, Bayesian modelling) and the ability to select the right tool, not just the trendiest one, for a clinical problem.
• a proven track record of taking models from a Jupyter notebook to a high-availability production environment, managing everything from data versioning to model serving.
• mastery of a production-grade language (e.g. Python, C#, or Go), with a focus on writing extensible, modular libraries that other teams can adopt.
• experience defining both offline metrics (how the model performs in training) and online metrics (how the model impacts real-world user behaviour and triage outcomes).
• bring collaborative rigour to design and code reviews, surfacing erroneous assumptions before they reach production, and can preemptively identify technical risks — such as data leakage or hardware constraints — before they jeopardise the product roadmap.

Benefits

• adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in life
• Flexible working: We are an office first culture and ask that you’re in our (dog-friendly) Shoreditch office 3 days a week, with core hours of 10am - 4pm
• Time off: You’ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per year
• Family matters: We offer enhanced parental leave, fertility support and parental loss support
• We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat!