Machine Learning Workflow Engineer

G-Research

+1
+2
London, England, United Kingdom

+1
+2
London, England, United Kingdom

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Über

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. 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. The role We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team This is an exciting role. You will develop greenfield solutions to meet highly complex ML interdependency requirements. Where off-the-shelf tools fall short, you’ll build custom solutions to define best practice across quantitative research. Future projects include: Implementing best practice feature and model stores Properly versioning features, data and models Improving inference compute utilisation via model serving CI/CD for ML Reliably fitting models with complex job dependency graphs Robustness in production, including validation and monitoring Who are we looking for? You will
be an intelligent, pragmatic and capable engineer. You will be comfortable working collaboratively to quickly get to grips with the widely varying requirements across different teams. You will bring industry experience to the table, helping us to apply best practice and drive improvements across our ML operations. The ideal candidate will have the following skills and experience: An appreciation of good architecture and MLOps best practice The ability to collaborate with, and influence, technical and non-technical people A passion for end-to-end ownership of solutions, from articulation to delivery Proven ability to engineer high-quality software Effective decision-making, with a focus on the mid to long term Value orientated and able to independently prioritise Finance experience is not necessary for this role and candidates from non-financial backgrounds are encouraged to apply. Why should you apply? Highly competitive compensation plus annual discretionary bonus Lunch provided (viaJust 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 . #J-18808-Ljbffr

Wünschenswerte Fähigkeiten

Machine Learning
Software Engineering

London, England, United Kingdom

Berufserfahrung

Machine Learning

Sprachkenntnisse

English

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