Senior Machine Learning Engineer , Accurx

• You have 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
• You have 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
• You have 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
• You have 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)
• You 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

Desirable

• As a Senior Machine Learning Engineer, you'll join our Triage Intelligence team — a high-impact, cross-functional group of software engineers, Data Scientists, clinicians, and a Principal Product Manager
• The team builds the intelligence that powers how Accurx understands healthcare communication across the entire product suite, with a current mission to interpret patient healthcare requests and enable fast, informed decisions about the next step in a patient's care
• You will 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
• You will 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
• You will 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
• You will 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