At a Glance
- Tasks: Develop machine learning models to accelerate materials discovery and optimise training pipelines.
- Company: Jack & Jill, a leading innovator in materials science based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic hybrid lab environment with a focus on collaboration and innovation.
- Why this job: Join a world-class team and see your work directly impact real-world applications.
- Qualifications: Experience in machine learning and a passion for materials science.
The predicted salary is between 60000 - 80000 £ per year.
Jack & Jill in London is seeking a Machine Learning Engineer to develop MLIPs and accelerate discovery of functional materials.
You will design scalable training pipelines, build high-quality datasets from DFT, and optimize equivariant message-passing architectures for large-scale screening of materials.
Join a world-class team bridging theory and experiment in a hybrid lab setting, where your models directly influence physical experiments and industrial-scale applications.
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MLIP Engineer: Accelerating Materials Discovery 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.
