Head of Machine Learning

Position: Head of Machine Learning – Automotive Industry

Location: Birmingham, UK (Remote)

Contract: Until June 2025

Compensation: Up to £700 per day (Outside IR35)

About Us: We are at the forefront of innovation in the automotive sector, dedicated to enhancing vehicle systems and user experiences through advanced AI and machine learning solutions. We are seeking a visionary Head of Machine Learning to lead our high-impact projects and drive the future of automotive technology.

Key Responsibilities:

• Leadership and Strategy: Lead and mentor a team of machine learning engineers and data scientists, fostering a culture of innovation and excellence.
• Model Development: Oversee the development and deployment of machine learning models for automotive applications, including autonomous systems and predictive maintenance.
• Data Management: Supervise the handling of large-scale, real-time IoT and telematics data to inform model development and optimization.
• Optimization: Ensure models are optimized for both edge devices and cloud platforms to achieve efficient and scalable solutions.
• Cross-Functional Collaboration: Work closely with engineering, product, and executive teams to align machine learning initiatives with business objectives.

Key Skills and Qualifications:

• Technical Expertise: Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Domain Knowledge: Extensive experience in computer vision, deep learning, and real-time data processing within the automotive industry.
• Cloud Platforms: Familiarity with cloud services like AWS, Azure, or GCP.
• Automotive Protocols: Understanding of automotive communication protocols, such as CAN bus, is advantageous.
• Leadership Experience: Proven track record of leading and managing high-performing AI or machine learning teams.

What We Offer:

• Competitive Compensation: Attractive day rate up to £700, outside IR35.
• Innovative Environment: Opportunity to work on cutting-edge machine learning applications in the dynamic automotive sector.
• Professional Growth: Lead a team at the intersection of technology and automotive innovation, with opportunities for professional development.