{"id":142065,"url":"https://alion.io/job/accurx-staff-machine-learning-engineer","title":"Staff Machine Learning Engineer","company":{"id":51651,"name":"Accurx","domain":"accurx.com","url":"https://alion.io/company/accurx","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":94,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":175000,"currency":"GBP","period":"year","gross":null,"usd_annual":231612},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-05-05T14:10:58Z","employer_posted_date":"2026-05-05","last_verified_at":"2026-10-16T21:31:23Z","board_verified":true,"closed_at":null,"days_open":164,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":163},"description":"Accurx is where conversations happen with and about patients.\nFor 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.\nWhat 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.\nOur 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.\nThe team\nWe 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.\nWe 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.\nAs 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.\nChallenges you’ll solve...\nYou 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.\n\nYou 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.\n\nYou 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.\n\nYou 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.\n\nYou should apply if...\nYou 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.\n\nYou 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.\n\nYou are comfortable setting technical direction for a team or area, making high-stakes build-vs-buy decisions, and influencing roadmaps beyond your immediate team.\n\nYou 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.\n\nYou 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.\n\nWhat’s in it for me?\nYou'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.\n£135,000 - £175,000 salary + share options up to £50,000\n\nBenefits to suit you: adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in life\n\nFlexible 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\n\nTime off: You’ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per year\n\nFamily matters: We offer enhanced parental leave, fertility support and parental loss support\n\nWe have our very own Chef! 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