Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
About the role
- Senior Machine Learning Scientist improving customer and business outcomes using ML and statistical modeling. Working with experienced team and involved in end-to-end model development.
Responsibilities
- improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling
- working alongside a team of very experienced ML Scientists
- owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring
- exposure to all Borrowing products and applications
- work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap
- think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models
Requirements
- Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering
- In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc
- Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap
- Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry
- Great attention to details while keeping an eye on the big picture
- Excellent communication skills to articulate complex problems
- Capability to build mutual respect and trust with people of different background
Benefits
- stock options
- Learning budget of £1,000 a year for books, training courses and conferences
- We can help you relocate to the UK
- We can sponsor visas
- flexible working hours
- work from home setup including Macbooks
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer at Preply building and maintaining ML pipelines, collaborating with ML Scientists and Data Engineers.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.