Machine Learning Engineer
Healx
full-time
Posted on:
Location Type: Hybrid
Location: Cambridge • United Kingdom
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Tech Stack
About the role
- Build automated reasoning over large knowledge graphs and proprietary methods for efficient generation of experimentally testable therapeutic hypotheses
- Contribute to building, maintaining and improving our rare-disease knowledge graphs used to identify and reason over novel therapeutic hypotheses
- Develop agentic tools and workflows to enable our teams to unlock insight from proprietary data and large datasets
- Contribute and advocate for best engineering practices across our tech teams
Requirements
- 2-5 years professional (in academia or industry) experience in machine learning, artificial intelligence or related field
- Excited about taking on new challenges and responsibilities in a mission-driven startup aiming at improving patient outcomes
- Advanced degree (masters, PhD) in machine learning, biochemistry or related field with a focus on applied research or equivalent industry experience applying machine learning to complex real-world problems
- Strong software development experience in Python and a good appreciation of the principles of software engineering
- Thrive in a highly cross-functional environment, taking ownership of meaningful technical challenges and contributing ideas that shape the direction of our platform
- Able to work independently to scope, plan and deliver end-to-end machine learning solutions, managing priorities effectively and communicating progress and blockers proactively
- Comfortable navigating a degree of ambiguity, making pragmatic decisions when needed, and knowing when to seek input from the broader team to ensure quality and alignment.
Benefits
- Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary
- Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance
- Wellbeing support via Spill and our Employee Assistance Programme
- Flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration
- Enhanced family leave policies, miscarriage and fertility leave, flexible working practices
- Personal learning and development budgets, regular personal development conversations and career support
- One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligencePythonsoftware engineeringautomated reasoningknowledge graphstherapeutic hypothesesdata analysisapplied researchend-to-end machine learning solutions
Soft Skills
problem-solvingownershipcommunicationadaptabilitycollaborationinitiativeproactive managementcross-functional teamworkdecision-makingresponsibility
Certifications
advanced degreemastersPhD