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People Source Consulting trading as Experis
Location:
Reading, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Views:
1
Posted:
30.03.2025
Expiry Date:
14.05.2025
Job Description:
Job Title: Machine Learning & Data Scientist
Location: Reading, UK (Hybrid)
Salary: Up to £80,000 per annum
About Us: We are dedicated to enhancing the global growth and resilience of renewable energy transmission by delivering intelligent, autonomous robotic monitoring solutions for high-voltage assets. Our mission focuses on supporting power transmission operators worldwide with advanced technologies.
Role Overview: We are seeking a Machine Learning & Data Scientist to join our dynamic team. The ideal candidate will have experience in developing multimodal models and a background in condition monitoring, particularly concerning high-voltage assets. This role offers the opportunity to contribute significantly to the development of AI-powered analytics for autonomous robotic systems.
Key Responsibilities:
* Develop and implement machine learning algorithms, focusing on multimodal data integration.
* Design and deploy predictive models for condition monitoring of high-voltage assets.
* Collaborate with cross-functional teams to integrate AI solutions into autonomous robotic systems.
* Analyze large datasets to extract meaningful insights and inform decision-making.
* Stay abreast of the latest developments in machine learning and apply them to ongoing projects.
Qualifications:
* Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field.
* Proven experience in developing and deploying multimodal machine learning models.
* Familiarity with condition monitoring techniques, especially in the context of high-voltage assets.
* Proficiency in programming languages such as Python or C++.
* Experience with data visualization tools and techniques.
* Strong problem-solving skills and the ability to work collaboratively in a team environment.
* Experience with autonomous robotic systems.
* Knowledge of the energy transmission sector.
* Familiarity with ISO 27001 standards.
Benefits:
* Share option plan: All full-time employees become eligible for participation in the share option plan after 6 months of employment.
* Flexible hybrid working: We allow employees to work in the lab or remote with line-manager approval.
* Paid vacation time: We offer twenty-five days paid holiday, and 'unlimited' additional unpaid leave.
* Contributory Pension: We provide a workplace pension scheme to help our employees save for their retirement.
* Cycle to work scheme: A cycle to work scheme is a great incentive for employees, allowing them to purchase a bike for work-related commuting.
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