At a Glance
- Tasks: Lead the development of machine learning interatomic potentials and design scalable ML pipelines.
- Company: Jack & Jill, a pioneering company in materials discovery based in London.
- Benefits: Hybrid work environment with opportunities for real-world impact and collaboration.
- Other info: Collaborate with physics teams and access excellent career growth opportunities.
- Why this job: Blend theory and experiment to influence groundbreaking materials discovery.
- Qualifications: Experience in machine learning and proficiency in PyTorch or JAX.
The predicted salary is between 70000 - 90000 £ per year.
Jack & Jill in London, UK, is seeking a Machine Learning Engineer to lead the development of machine learning interatomic potentials (MLIPs). You will design scalable ML pipelines, train models with PyTorch or JAX, and collaborate with physics teams to build high-quality DFT-derived datasets. The role blends theory and experiment, bridging computational research with a physical laboratory, and offers a hybrid work environment with opportunities to influence real-world materials discovery.
ML Engineer for Materials Discovery (MLIPs) in London employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
