Machine Learning Performance Engineer

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We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This is a role based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.
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.
Past projects have included:
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.
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; 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.
Highly competitive compensation plus annual discretionary bonus
~ 35 days’ annual leave
~9% company pension contributions
~ Informal dress code and excellent work/life balance
~ Comprehensive healthcare and life assurance
~ Monthly company events

Employment type Full-time

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Location:
London
Job Type:
FullTime

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