| Location: London | Salary: plus an awesome benefits package |
| Sector: Client Delivery, Technology | Specialism: |
| Type: Permanent | Contact: Rob Smith |
Senior Machine Learning Engineer
My client is a leading consultancy focussing on data in the cloud and based in the City of London. They are recruiting for a number of Senior Machine Learning Engineers to work on some exciting client projects. As a Senior Machine Learning Engineer you will be working very closely with the team which is currently 15 strong and still growing.
As a Senior Machine Learning Engineer, you will be predominantly working from home for the time being, but you will be expected to be in the office in London for 2-3 days per week when they go back!
As a Senior Machine Learning Engineer you will receive the following benefits:
Flexible working
Private healthcare scheme, subject to qualifying employment period and scheme eligibility
Stakeholder pension opportunities, subject to scheme qualification criteria
25 days holiday per year, increasing with service
Additional 4 days and up to £700 towards your professional L&D
Senior Machine Learning Engineer Responsibilities:
Working closely with clients, taking requirements and translating them into well engineered models that solve real-world problems
Individually and as a team, you will run machine learning experiments using machine learning libraries and various programming skills and languages.
Optimizing solutions for performance and future scalability.
Implementing custom, clean machine learning code.
Data Science, Data Engineering and Analytics
MLOps - automating Machine Learning workflows to include testing, reproducibility and metadata/feature storage
Designing Machine Learning architectures on Google Cloud (GCP)
Senior Machine Learning Engineer Essential Skills:
Multiple years of experience as an Machine Learning Engineer, ideally from a consulting background.
You should be comfortable working with Python as a primary backend language, delivering code in well-tested CI/CD pipelines.
Be familiar with cloud environments including GCP, AWS and Azure.
Software Engineering skills and experience.
Experienced with SQL.
Comfortable scaling up computations (GPUs, distributed computing etc).
Familiarity with exposing Machine Learning components through various web services or wrappers e.g. Flask in Python.
Strong communication and presentation skills to people at various organisational levels both internally and externally.
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