Staff Machine Learning Engineer

London, United Kingdom

Open 5 months, first seen by us 160 days ago

Pay: £135,000–175,000/yearAnnual period assumed. Plus bonus — pay source
You’ll join a high-performing team on a mission to solve healthcare productivity, building a platform used by around 300k NHS staff every week, supporting the care of over 50 million NHS patients every year. We set a high bar, move fast, and give people the ownership and support to do the best work of their careers £135,000 - £175,000 salary, plus a discretionary recognition bonus for exceptional performance and impact, nominated by managers and awarded by our leadership team Equity: £50,000 in equal share options, so you share in the value you help create
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Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting

Other compensation

Equity: £50,000Period not statedEquity: £50,000 in equal share options, so you share in the value you help create — equity source
£135,000 - £175,000 salary, plus a discretionary recognition bonus for exceptional performance and impact, nominated by managers and awarded by our leadership team Equity: £50,000 in equal share options, so you share in the value you help create Benefits to suit you: adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in life
Read the full posting

What you’ll work on

Full posting

Set technical direction for how AI/ML is built, deployed and evolved across the organisation
Own end-to-end quality strategy for ML systems, including privacy, bias and security
Build reusable platform capabilities that serve multiple teams
Mentor engineers into senior roles and shape how ML talent is hired and grown
Identify AI/ML product opportunities and turn clinical and product goals into capabilities

From the employer’s posting

You will set the technical direction for how AI/ML capabilities are built, deployed, and evolved across the organisation

You will own the end-to-end quality strategy for ML systems - going beyond standard metrics to incorporate privacy, bias, security, and maintainability

building reusable platform capabilities

mentoring engineers into senior roles, and shaping how we hire and grow ML talent at Accurx

You will identify and champion new AI/ML-powered product opportunities, translating clinical and product objectives into capabilities with group-wide impact

Apply at Accurx

Posting record

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Open 5 monthsWe first saw this posting 160 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 2, 2026160 days ago
Recorded sightings: 77
Last seen by us: Nov 9, 2026
Employer says posted: May 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 160

Up longer than most. Similar jobs usually come down between day 7 and day 72.

From 4,783 similar postings that came down. Coming down is not always a hire.

Accurx is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

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C#
Python
Go

Where the posting names them

- 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.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

💬 Accurx 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 Accurx 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 Accurx 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 Accurx'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 Accurx.
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 you?

You’ll join a high-performing team on a mission to solve healthcare productivity, building a platform used by around 300k NHS staff every week, supporting the care of over 50 million NHS patients every year. We set a high bar, move fast, and give people the ownership and support to do the best work of their careers

£135,000 - £175,000 salary, plus a discretionary recognition bonus for exceptional performance and impact, nominated by managers and awarded by our leadership team
Equity: £50,000 in equal share options, so you share in the value you help create
Benefits to suit you: adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in life
Built for collaboration: We are an office-first culture and ask that you’re in our (dog-friendly) Shoreditch office for a minimum of 3 days a week
Close to our users: Regular hackathons, plus dedicated time to visit GP practices and other healthcare settings to see first-hand how our products are used
Time off: You’ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per year
Support at home: We offer enhanced parental leave, fertility support and parental loss support
We have our very own chefs: Free healthy breakfasts, snacks and lunches, plus a weekly sweet treat

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