Machine Learning Researcher

Darcie Talent; Cambridge; On-site; GBP 85,000 - 120,000; Full time

Benefits offered by this job

VISA sponsorship available

Job summary

Darcie Talent seeks a PhD-level Machine Learning Scientist to join a world-class research team near Cambridge. You will design, implement, and advance cutting-edge ML methods, contributing to projects at the forefront of AI research and translating findings into impactful real-world applications.

The role involves collaboration with top researchers, publishing in leading venues, and working on high-performance computing resources. VISA sponsorship is available for the right candidate.

Qualifications

• PhD in Machine Learning, Computer Science, Mathematics, Physics, or related field.
• Publications at leading AI conferences (NeurIPS, ICML, ICLR, ACL) are essential.
• Deep expertise in RL, LLMs, or large-scale optimisation for deep learning.
• Proficient in Python and deep learning frameworks.
• Passion for advancing AI research and contributing to the global ML community.

Responsibilities

• Design, implement, and advance cutting-edge ML methods.
• Collaborate with a multidisciplinary team of researchers.
• Publish work at top-tier venues and translate research to real-world applications.

Skills

Python

DL frameworks

Publications

Passion for AI

Education

PhD in ML/CS/Math/Phys

Job description

A PhD level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what's possible in machine learning.

You will play a key role in designing, implementing, and advancing cutting-edge methods in:

• Optimisation for Deep Learning

You'll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications.

Experience Required:

• A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field
• A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential)
• Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning
• Good programming skills in Python and experience with deep learning frameworks
• A passion for advancing AI research and contributing to the global ML community

Key selling points

• Work on cutting-edge AI challenges with a talented, multidisciplinary team
• Collaborate with leading academic and industry partners
• Access to high-performance computing resources
• Publish your work at the leading conferences
• VISA sponsorship available