Staff Machine Learning Engineer in London
Staff Machine Learning Engineer

Staff Machine Learning Engineer in London

London Full-Time 80000 - 100000 £ / year (est.) No home office 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'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 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 in London 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 Detail:

Accurx Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to folks 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 GitHub with projects related to ML/AI, make sure to highlight them. Real-world examples of your work can speak volumes.

✨Tip Number 3

Prepare for the interview by understanding Accurx's mission and products. Be ready to discuss how your experience aligns with their goals, especially around improving healthcare communication.

✨Tip Number 4

Don't forget to 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 joining the team.

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

Machine Learning Techniques
Deep Learning
Transformer-based NLP
Tree-based Methods
Bayesian Modelling
Model Deployment
Data Versioning
Training Pipelines
Model Serving
Monitoring Systems
Production-grade Programming Languages (Python, C#, Go)
System Design
Mentoring
Technical Communication
Cross-functional Collaboration

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Staff Machine Learning Engineer role. Highlight your relevant experience with ML techniques and how they align with our mission at Accurx. We want to see how you can contribute to fixing healthcare communication!

Showcase Your Projects: Include specific examples of projects where you've taken ML models from experimentation to production. We love seeing real-world applications, so don’t hold back on the details that demonstrate your expertise and impact in previous roles.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your technical skills and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications.

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 at Accurx!

How to prepare for a job interview at Accurx

✨Know Your ML Techniques

Make sure you brush up on your knowledge of various 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 approached them. Highlight your ability to make high-stakes decisions and how you’ve influenced roadmaps in your past projects.

✨Demonstrate Your Mentorship Abilities

As a Staff ML/AI Engineer, mentoring is key. Think of instances where you've helped others grow in their roles or contributed to team development. Be ready to share your approach to mentoring and how you can help shape the next generation of engineers at Accurx.

✨Align with Their Mission

Accurx is driven by a mission to improve healthcare communication. Familiarise yourself with their products and be prepared to discuss how your values align with theirs. Show genuine enthusiasm for their work and how you can contribute to their goals.

Staff Machine Learning Engineer in London
Accurx
Location: London

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