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Machine Learning Research Engineer
Are you passionate about pushing the boundaries of AI and machine learning? Do you thrive in a fast-paced, innovative environment? Seeking a talented Machine Learning Engineer to supercharge high-performance ML deployments using PyTorch. Turning data into insights and innovation that drive business decisions and create world-class products.
- Optimise codebases for cutting-edge ML models
- Collaborate with researchers to streamline large-scale systems
- Refine scaling strategies for Generative Models
- Enhance stability pipelines for efficient, large-scale model deployments
- Tackle the complexities of distributed systems with innovative solutions
Experience Required:
- PyTorch expertise, with deep knowledge of distributed systems
- Master at scaling large machine learning models
- Skilled in test automation and stability pipelines
- A natural collaborator with researchers and cross-functional teams
- Strong problem-solver with debugging finesse
- Advanced degree in CS or ML desirable
- Published research or open-source ML contributions
- Experience in large, distributed ML workflows
Please Note: This role is inside IR35, with occasional days required in the Cambridgeshire office.
Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.
Morgan McKinley encourages applications from all qualified candidates who represent the full diversity of communities in the UK. Accommodations are available on request for candidates taking part in all aspects of the selection process.
BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.
