Machine Learning Engineer

We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting-edge of machine learning.

You will work closely with a wide range of internal G-Research teams, including Quant Researchers, Quant ML engineers and other engineering groups - as well as with external partners and experts.

You will collaborate across disciplines on a broad set of initiatives to help G-Research leverage the next generation of machine-learning technologies.

Past projects have included:

• Evaluating alternative accelerators for ML workloads
• Multi-node distributed training to understand trade-offs in networking technology
• Optimising model inference to minimise latency or maximise throughput
• Understanding and optimising different storage technology to maximise bandwidth
• Evaluating the latest hardware and software in the machine learning ecosystem
• Liaising with vendors and providing constructive feedback on their products and roadmaps

You will be comfortable working both independently and in small teams on a variety of engineering challenges, with a particular focus on machine learning and scientific computing., * A postgraduate degree in ML or a related field, or bringing commercial experience building ML models at scale, we will also consider exceptional candidates with demonstrable track record of success in online data-science competitions, such as Kaggle

• Strong object-oriented engineering skills, with experience in Python, PyTorch and NumPy desirable
• The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model-inference expertise; you do not need to have all of the above
• A passion for the latest ML and HPC trends, with genuine curiosity and enthusiasm
• Excellent communication skills with the ability to work independently, engage with vendors, explore new technologies and present results effectively to stakeholder
• Choose the right level of abstraction, using quick one-off scripts for proofs of concept or designing more complex systems when needed

Finance experience is not necessary for this role and candidates from non-financial backgrounds are encouraged to apply.

• 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