Requirements

• A postgraduate degree in ML or related field, or commercial experience in building ML models at scale
• Strong object-oriented engineering skills, preferably with experience in Python, PyTorch, and NumPy
• Ability to apply advanced optimization methods, modern ML techniques, HPC, profiling, or model-inference expertise
• Passion for the latest ML and HPC trends
• Excellent communication skills and ability to work independently

What You'll Be Doing

• Identifying and working with cutting-edge tools in machine learning
• Collaborating with internal teams and external partners on various initiatives
• Working on projects like evaluating accelerators, multi-node distributed training, optimizing model inference, and more

Perks and Benefits

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 30 days’ annual leave
• 9% company pension contributions
• Informal dress code and excellent work/life balance
• Comprehensive healthcare and life assurance
• Cycle-to-work scheme
• Monthly company events