14 days ago
London, United KingdomMid Level / Senior
H1B Sponsor
Responsibilities
- Collaborate with research scientists and simulation engineers to build models for physics and engineering problems.
- Design, build, and optimize machine learning models for scalability and efficiency.
- Transform prototype models into robust implementations.
- Implement distributed training architectures for multi-node/multi-GPU training.
- Work with research scientists to scale and optimize foundation models for large data.
- Identify the best libraries and tools for modeling efforts.
- Own research work-streams based on seniority.
- Discuss results and implications with colleagues and customers.
- Translate research results into reusable libraries and products.
- Mentor colleagues with less experience in machine learning and engineering.
Requirements
- Enthusiasm for developing machine learning solutions, especially in deep learning and probabilistic methods.
- Ability to work autonomously and deliver projects across various domains.
- Strong problem-solving skills and quick analytical abilities.
- Excellent collaboration and communication skills.
- MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field.
- Experience in scientific computing and high-performance computing.
- Ideally over 2 years of experience in a data-driven role in a professional setting.
- Exposure to scaling and optimizing ML models and distributed computing frameworks.
- Proficiency in Python and common libraries for machine learning.
- Experience with C/C++ for computer vision or scientific computing.
- Familiarity with software engineering best practices and containerization.
Benefits
- Equity options to share in the company's success.
- 10% employer pension contribution.
- Free office lunches.
- Enhanced parental leave with full pay.
- YellowNest nursery scheme for childcare support.
- 25 days of annual leave plus public holidays.
- Private medical insurance with 100% employee cover.
- Wellhub subscription for access to gyms and wellness apps.
- Eye tests for employee health.
- Dedicated support for personal development.
- Employee Assistance Programme for confidential wellbeing support.
- Bike2Work scheme and season ticket loan for commuting.
- Octopus EV salary sacrifice for sustainable driving.