AI ML - Senior Associate - Machine Learning Engineer

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

Take the next step in your career.

The role

We are looking for exceptional machine learning engineers to work alongside our quantitative researchers on cutting-edge machine learning problems.

As a member of the Core Technical Machine Learning team, you will be engaged in a mixture of individual and collaborative work to tackle some of the toughest research questions.

In this role, you will use a combination of off-the-shelf tools and custom solutions written from scratch to drive the latest advances in quantitative research.

Past projects have included:

Implementing ideas from a recently published research paperWriting custom libraries for efficiently training on petabytes of dataReducing model training times by hand optimising machine learning operationsProfiling custom ML architectures to identify performance bottlenecksEvaluating the latest hardware and software in the machine learning ecosystemWho are we looking for?

Candidates 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:

Either a post-graduate degree in machine learning or a related discipline, or commercial experience working on machine learning models at scale. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as KaggleStrong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirableExperience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you don’t need to have all of the aboveExcellent ML reasoning and communication skills are crucial: off-the-shelf methods don’t always work on our data so you will need to understand how to develop your own models in a collaborative environment working in a team with complementary skills

Finance experience is not necessary for this role and candidates from non-financial backgrounds are encouraged to apply., Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, United Kingdom

Why should you apply?Highly competitive compensation plus annual discretionary bonusLunch provided (via Just Eat for Business) and dedicated barista bar35 days’ annual leave9% company pension contributionsInformal dress code and excellent work/life balanceComprehensive healthcare and life assuranceCycle-to-work schemeMonthly company events.

G-Research, G-Research is a research and technology company that specializes in Quantitative Research and IT Infrastructure.