Machine Learning & Data Scientist

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:

1. Develop and implement machine learning algorithms, focusing on multimodal data integration.
2. Design and deploy predictive models for condition monitoring of high-voltage assets.
3. Collaborate with cross-functional teams to integrate AI solutions into autonomous robotic systems.
4. Analyze large datasets to extract meaningful insights and inform decision-making.
5. Stay abreast of the latest developments in machine learning and apply them to ongoing projects.

Qualifications:

1. Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field.
2. Proven experience in developing and deploying multimodal machine learning models.
3. Familiarity with condition monitoring techniques, especially in the context of high-voltage assets.
4. Proficiency in programming languages such as Python or C++.
5. Experience with data visualization tools and techniques.
6. Strong problem-solving skills and the ability to work collaboratively in a team environment.

Desirable Skills:

1. Experience with autonomous robotic systems.
2. Knowledge of the energy transmission sector.
3. Familiarity with ISO 27001 standards.

Benefits:

1. Share option plan: All full-time employees become eligible for participation in the share option plan after 6 months of employment.
2. Flexible hybrid working: We allow employees to work in the lab or remote with line-manager approval.
3. Paid vacation time: We offer twenty-five days paid holiday, and 'unlimited' additional unpaid leave.
4. Contributory Pension: We provide a workplace pension scheme to help our employees save for their retirement.
5. Cycle to work scheme: A cycle to work scheme is available for employees.

How to apply?

Please send a CV to danielle.chapman@experis.co.uk