Machine Learning Engineer
G-Research UK — London, GB
- Published on
About the Role
Machine Learning Engineer role at G-Research, tackling finance's biggest questions with cutting-edge technology.
Key responsibilities include:
- Collaborating with quantitative researchers on machine learning problems.
- Engaging in individual and collaborative work on research questions.
- Using off-the-shelf tools and custom solutions for quantitative research.
- Implementing ideas from research papers and writing custom libraries.
- Optimizing machine learning operations and profiling ML architectures.
- Evaluating hardware and software in the ML ecosystem.
About You
The ideal candidate will have:
- A post-graduate degree in machine learning or related discipline, or relevant commercial experience.
- Strong object-oriented programming skills, especially in Python, PyTorch, and NumPy.
- Experience in advanced optimization methods, modern ML techniques, HPC, profiling, or model inference.
- Excellent ML reasoning and communication skills.
- No finance experience required; candidates from non-financial backgrounds are welcome.
Benefits
- Highly competitive compensation plus annual discretionary bonus.
- Lunch provided 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.
Training & Development
Opportunities for professional growth through collaboration with leading experts in machine learning and quantitative research.
Career Progression
Potential for career advancement in a dynamic and innovative environment, contributing to cutting-edge research and technology.
How to Apply
Applicants with disabilities or special needs requiring accommodation should indicate this in the relevant section.
This job may close before the stated closing date, you are encouraged to apply as soon as possible.