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.

The ideal candidate will have the following skills and experience:

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

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section