Staff Machine Learning Engineer

[Employer hidden] is where conversations happen with and about patients.

For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We’re changing that by building a single, system-wide platform that connects everyone through communication. What started as a way for GPs to text a patient has now evolved into an all-in-one digital toolkit used by 98% of GP practices. Our platform now powers Total Triage to manage patient demand, and Self-Book, which lets patients schedule their own appointments in seconds. We’ve automated routine care with Patient Questionnaires for long-term conditions, while Accumail finally allows staff-to-staff communication to happen instantly across different care settings. We’re now pushing the boundaries of the consultation itself with [Employer hidden] Scribe, our AI-powered note-taker that drafts medical notes in real-time.

The team

We are a mission-driven team of 80 engineers based in London and the surrounding areas, united by the challenge of fixing healthcare communication. We are innovating for the NHS at a scale and depth that has never been done before, solving the real-world problems that stand between millions of patients and the care they need. We are a highly cross-functional group where engineering, product, data, and security collaborate as true peers. We foster a low-ego, high-impact environment that values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform. As a Staff ML/AI Engineer, you'll operate across multiple product and platform teams - diving deep into selected ones to help them achieve great results with AI and ML. One key team you'll work closely with is our Triage Intelligence team, a high-impact, cross-functional group building the intelligence that powers how [Employer hidden] understands patient healthcare requests.

Challenges you’ll solve...

• You will set the technical direction for how AI/ML capabilities are built, deployed, and evolved across the organisation - defining both the what and the how, and ensuring alignment with [Employer hidden]'s broader product roadmap.
• You will own the end-to-end quality strategy for ML systems - going beyond standard metrics to incorporate privacy, bias, security, and maintainability, and designing systems that don't depend on a single expert to maintain.
• You will act as a force multiplier across teams, building reusable platform capabilities, mentoring engineers into senior roles, and shaping how we hire and grow ML talent at [Employer hidden].
• You will identify and champion new AI/ML-powered product opportunities, translating clinical and product objectives into capabilities with group-wide impact - and leading decisively when the path forward is unclear.

You should apply if...

• You have deep expertise across a range of ML techniques (e.g. Transformer-based NLP, Deep Learning, Tree-based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality.
• You have a proven track record of taking models from experimentation to high-availability production, designing systems (data versioning, training pipelines, model serving, monitoring) built for long-term maintainability.
• You are comfortable setting technical direction for a team or area, making high-stakes build-vs-buy decisions, and influencing roadmaps beyond your immediate team.
• You bring mastery of a production-grade language (e.g. Python, C#, or Go), with a focus on extensible, modular components and a strong instinct for system design.
• You are a natural mentor and communicator, able to grow the next generation of senior engineers and tailor technical narratives to audiences from IC engineers to executive stakeholders.

What’s in it for me?

• Benefits to suit you: 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!

Compensation Range: £115K - £135K