Machine Learning Specialist

Job Title: Machine Learning Specialist – Computer Vision & Object Detection

Location: London, UK (3days)

Type: Full-time

Overview

Join a mission-driven team focused on making AI safe and reliable. We are seeking a Machine Learning Specialist with deep experience in computer vision and object detection. You’ll work directly with engineering teams in aviation, mobility, robotics, and edge devices to improve the performance, robustness, and reliability of ML models in high-stakes, real-world applications.

This role blends hands-on technical work with customer engagement, offering the opportunity to influence both product and R&D directions while applying state-of-the-art computer vision techniques.

Key Responsibilities

Customer & User Engagement

• Partner with R&D and product teams at customer organisations to understand their ML models and validation challenges
• Advise stakeholders on model performance, trade-offs, and best practices in deployment

Technical Execution

• Implement prototypes, use cases, and solutions using advanced ML tools for computer vision validation
• Conduct experiments to evaluate and improve object detection, tracking, and model robustness
• Collaborate with internal R&D teams to influence product development and build scalable ML validation tools

Innovation & Collaboration

• Contribute to the development of robust verification frameworks for machine vision
• Share insights from real-world use cases to drive improvements in AI/ML validation methods

Required Skills & Experience

• Proven contributions to machine vision research, ideally with publications or first-author papers in top conferences (CVPR, ICCV, ECCV)
• Hands-on experience training, evaluating, and deploying state-of-the-art computer vision models (e.g., YOLO, Vision Transformers, Eva)
• Strong Python skills and familiarity with libraries such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch
• Experience with ML workflows, MLOps, and best practices in model validation and evaluation
• Solid understanding of evaluation metrics such as Accuracy, Recall, F1, IoU

Highly Desirable

• Experience in aviation, mobility, edge devices, or robotics applications
• Involvement in real-world industrial ML deployments
• Excellent communication skills for collaborating with technical and non-technical stakeholders

Personal Attributes

• Passionate about AI/ML and helping engineering teams achieve their goals
• Curious, hands-on, and proactive in problem solving
• Comfortable in fast-paced environments and dealing with ambiguity
• Collaborative, clear, and honest in communication

Why This Role Is Interesting

• Be part of a pioneering team advancing AI safety and reliability in critical applications
• Work directly with global engineering teams on high-impact ML challenges
• Access to continuous learning, mentorship, and internal knowledge-sharing