Machine Learning Workflow Engineer
Machine Learning Workflow Engineer
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Job Description
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips
GResearch 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 worldbeating 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 offtheshelf tools fall short youll 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 nontechnical people
- A passion for endtoend ownership of solutions from articulation to delivery
- Proven ability to engineer highquality software
- Effective decisionmaking 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 nonfinancial 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
- Cycletowork scheme
- Monthly company events
GResearch is committed to cultivating and preserving an inclusive work environment. We are an ideasdriven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
Employment Type
Full Time
