Machine Learning Engineer
Role details
Job location
Tech stack
Job description
Healx is looking for a talented Machine Learning Engineer to join our Tech team to help develop our drug discovery platform and discover new treatments for rare diseases., 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
What Success Will Look Like In 6 Months
You've built a strong understanding of Healx's drug discovery workflows, our rare-disease knowledge graphs and the key users of our platform You've delivered at least one meaningful improvement to our knowledge graph reasoning or hypothesis-generation stack (from prototype through to production), with appropriate evaluation, testing and documentation You're operating effectively in our hybrid, cross-functional environment-communicating progress and trade-offs clearly, partnering well with scientists and engineers, and demonstrating ownership from discovery through delivery You're consistently applying and advocating for strong engineering practices (e.g., code quality, reviews, reproducibility, experiment tracking, monitoring/observability where relevant), helping raise the bar across the team, Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans. Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know - we're happy to accommodate.
Requirements
You have 2-5 years professional (in academia or industry) experience in machine learning, artificial intelligence or related field You are excited about taking on new challenges and responsibilities in a mission-driven startup aiming at improving patient outcomes You have an advanced degree (master's, 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 You have a strong software development experience in Python and a good appreciation of the principles of software engineering You thrive in a highly cross-functional environment and you appreciate the opportunity to step up and leave your mark by taking ownership of meaningful technical challenges, contributing ideas that shape the direction of our platform and driving solutions from concept through to deployment You are able to work independently to scope, plan and deliver end-to-end machine learning solutions, managing your own priorities effectively and communicating progress and blockers proactively You are comfortable navigating a degree of ambiguity, making pragmatic decisions when needed, and you know when to seek input from the broader team to ensure quality and alignment
Benefits & conditions
Financial - Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary Health and Wellbeing - 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 Hybrid Working - We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration Family Friendly - Enhanced family leave policies, miscarriage and fertility leave, flexible working practices Personal Development and Growth - Personal learning and development budgets, regular personal development conversations and career support Community Engagement and 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