Staff Machine Learning Engineer

Staff Machine Learning Engineer

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Accurx

At a Glance

  • Tasks: Lead AI/ML initiatives to revolutionise healthcare communication and improve patient care.
  • Company: Join Accurx, a mission-driven tech company transforming NHS communication.
  • Benefits: Flexible working, 28 days holiday, free meals, and enhanced parental support.
  • Other info: Collaborative environment with opportunities for mentorship and career growth.
  • Why this job: Make a real impact in healthcare while working with cutting-edge AI technology.
  • Qualifications: Expertise in ML techniques and experience in production-grade systems required.

The predicted salary is between 80000 - 100000 £ per year.

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 is a mission-driven group 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 will 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 will 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 me?

You’ll be joining an established but fast-growing Tech for Good movement, where we’re led by our Principles and our mission to fix healthcare communication.

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!

Staff Machine Learning Engineer employer: Accurx

Accurx is an exceptional employer, dedicated to transforming healthcare communication through innovative technology. With a mission-driven culture and a collaborative environment, employees enjoy flexible working arrangements, generous holiday allowances, and unique perks like free meals from an in-house chef. The company prioritises professional growth, offering opportunities for mentorship and leadership development, making it an ideal place for those looking to make a meaningful impact in the healthcare sector.

Accurx

Contact Details:

Accurx Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Machine Learning Engineer

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Accurx. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a portfolio or any projects related to ML/AI, make sure to highlight them during interviews. Real-world examples can really set you apart from the crowd.

Tip Number 3

Prepare for technical challenges! Brush up on your ML techniques and be ready to discuss how you've tackled complex problems in the past. They want to see your thought process in action!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Accurx mission.

We think you need these skills to ace Staff Machine Learning Engineer

Machine Learning Techniques
Transformer-based NLP
Deep Learning
Tree-based Methods
Bayesian Modelling
Model Deployment
Data Versioning

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with ML techniques and how they relate to the role. We want to see how your skills align with our mission at Accurx!

Showcase Your Impact:When detailing your past projects, focus on the impact you made. Did you improve a system's efficiency or reduce bias in a model? We love to see quantifiable results that demonstrate your contributions.

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your technical expertise and avoid jargon that might confuse us. We appreciate clarity as much as complexity!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Accurx

Know Your ML Stuff

Make sure you brush up on your machine learning techniques, especially those mentioned in the job description like Transformer-based NLP and Deep Learning. Be ready to discuss how you've applied these in real-world scenarios, as this will show your depth of expertise.

Showcase Your Problem-Solving Skills

Accurx is all about solving real-world problems in healthcare communication. Prepare examples of challenges you've faced in previous roles and how you tackled them, particularly in relation to AI/ML. This will demonstrate your ability to think critically and innovate.

Emphasise Collaboration

Since the role involves working across multiple teams, highlight your experience in cross-functional collaboration. Share specific instances where you've successfully worked with product, data, or security teams to achieve a common goal.

Be a Mentor at Heart

As a Staff ML/AI Engineer, mentoring is key. Talk about your experiences in guiding junior engineers and how you've contributed to their growth. This will show that you're not just a technical expert but also a team player who values knowledge sharing.