At a Glance
- Tasks: Design and develop machine learning models for real-world infrastructure challenges.
- Company: Spencer Rose Ltd, a forward-thinking tech company in London.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a multidisciplinary team and enjoy a dynamic work environment.
- Why this job: Tackle real-world problems using cutting-edge ML techniques and large-scale data.
- Qualifications: Experience in machine learning and a passion for solving complex problems.
The predicted salary is between 60000 - 80000 £ per year.
Spencer Rose Ltd in London is seeking an Applied Machine Learning Scientist to join a multidisciplinary team.
The role involves designing, developing and validating ML models for complex physical environments, with deployment alongside software engineers.
You will work on real-world infrastructure problems using large-scale sensor data, time-series forecasting and physics-informed modelling.
Hybrid working with 2 days per week in London is offered.
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Hybrid London: Applied ML Scientist for Real-World Systems employer: Spencer Rose Ltd
This industry-leading organisation in Watford offers an exceptional work environment for Python Developers, combining a hybrid work model with a strong emphasis on collaboration and mentorship. Employees benefit from competitive salaries, excellent benefits, and opportunities for professional growth while working on cutting-edge technology in a supportive culture that values engineering excellence and innovation.
