At a Glance
- Tasks: Build and optimise ML workflows for groundbreaking drug discovery.
- Company: Helical, a pioneer in virtual biology labs.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Collaborative environment with a focus on impactful research.
- Why this job: Join us to revolutionise drug discovery with cutting-edge ML technology.
- Qualifications: Experience in machine learning and a passion for innovation.
The predicted salary is between 80000 - 100000 £ per year.
Helical is building the in-silico labs for biology, enabling pharma and biotech teams to run millions of virtual experiments in days, not years. As a Machine Learning Engineer - Scaling, you’ll build, optimize, and scale production ML workflows that apply bio foundation models to real-world drug discovery challenges.
You will collaborate with researchers and product engineers to productionize training, inference, and deployment pipelines, push the limits of foundation models, and own ML.
ML Engineer, Scaling Bio Foundation Models employer: Helical
Helical is an exceptional employer for those looking to make a meaningful impact in the field of drug discovery through innovative AI solutions. With a founder-led, talent-dense team based in London, we foster a fast-paced work culture that values ownership and creativity, offering interns the chance to work directly with senior leadership and shape the future of our operations. Our commitment to employee growth is evident as we provide opportunities for full-time positions and encourage the use of cutting-edge tools to transform workflows, making every day at Helical a rewarding experience.
