Machine Learning Engineer (AI / LLM Systems)

G-Research; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Lunch provided

Barista bar

35 days annual leave

Pension contributions 9%

Informal dress code

Healthcare and life assurance

Cycle-to-work scheme

Monthly company events

Job summary

G-Research is seeking exceptional machine learning engineers to work with quantitative researchers on cutting-edge ML problems.

You will be part of the Core Technical Machine Learning team, using off-the-shelf tools and custom solutions to advance quantitative research. The role emphasizes independent and collaborative work with a focus on ML and scientific computing.

Qualifications

• Post-graduate degree in machine learning or a related discipline, or commercial experience in ML at scale.
• Strong object-oriented programming skills with Python, PyTorch and NumPy desired.
• Experience with modern ML techniques, optimisation methods, HPC, profiling and model inference.

Responsibilities

• Design scalable platforms and tools to accelerate quantitative research.
• Collaborate with researchers to tackle challenging ML problems.
• Develop and optimize ML models and pipelines at scale.
• Evaluate hardware and software in the ML ecosystem.
• Profile architectures to identify performance bottlenecks.

Skills

Python

PyTorch

NumPy

Object-oriented programming

ML reasoning

Team collaboration

Education

Post-graduate degree in ML or related discipline

Tools

Profiling tools

High-performance computing (HPC)

Job description

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 paper
• Writing custom libraries for efficiently training on petabytes of data
• Reducing model training times by hand optimising machine learning operations
• Profiling custom ML architectures to identify performance bottlenecks
• Evaluating the latest hardware and software in the machine learning ecosystem

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 Kaggle Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you don't need to have all of the above Excellent 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

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

Why should you apply?

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 35 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.