Machine Learning Specialist (Computer Vision & Object Detection)

Safe Intelligence Limited; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A technology company specializing in AI safety is seeking a Machine Learning Specialist in London. You will work on ML validation in high-stakes applications such as aviation and robotics. Candidates should have a strong background in object detection and the ability to collaborate effectively with customers and research teams. A passion for enhancing AI/ML technologies is essential. This role offers competitive compensation and flexible working conditions.

Benefits

Mentoring and development allowance

Team social events

Flexible holidays

Qualifications

• Track record in object detection and tracking.
• Experience with state-of-the-art ML models.
• Proficient in validation frameworks for ML.

Responsibilities

• Work with customers to assess machine vision model performance.
• Implement solutions for user-specific problems.
• Conduct experiments for model evaluation.

Skills

Machine vision expertise

Python proficiency

ML workflow familiarity

Communication with stakeholders

Continuous learning

Education

First-author papers in top computer vision conferences

Experience in ML deployment

Tools

TensorFlow

PyTorch

NumPy

pandas

Job description

Overview

Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. We are looking for Machine Learning Specialists to help customers with ML validation challenges and to provide insights that drive our product forward for high-stakes machine vision problems.

The focus is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with emphasis on object detection and tracking. The role involves customer and user-facing work on real-world problems to help ML teams improve model quality, while working closely with the Safe Intelligence R&D team to improve tools based on challenges in your domain of expertise.

Previous contributions to state-of-the-art machine vision models, including object detectors, are required. Knowledge of ML verification is not required, but a solid understanding of existing testing practices, metrics, and current training and validation methods is essential.

We look forward to having you on board.

Responsibilities

• Work closely with customers and end-users to understand their machine vision models and help them assess performance, including R&D and product teams at customer organizations in Aviation, Mobility, Robotics, and Edge Devices.
• Implement prototypes, use cases, and solutions that apply Safe Intelligence methods to address user-specific problems in deep validation and robustness for machine vision in the specified domains.
• Conduct experiments to evaluate approaches and weigh trade-offs.
• Coordinate with research and platform teams to guide future development based on use-case challenges.
• Contribute to developing an efficient and scalable package for verifying and robust learning.

Requirements

• Previous scientific and engineering contributions to machine vision problems such as object detection or tracking, typically evidenced by first-author papers in top computer vision conferences (e.g., CVPR, ICCV, ECCV).
• In-depth experience training, evaluating and deploying state-of-the-art Machine Vision models, including architectures such as YOLO, Vision Transformers, and Eva.
• Experience communicating with stakeholders to understand requirements and guide what is possible or desirable in a model.
• Familiarity with Python and common data science/machine learning libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch).
• Familiarity with best practices in ML workflows and MLOps tools.
• Fluency with validation and evaluation frameworks and metrics for ML (e.g., Accuracy, Recall, F1, IoU).

Additional beneficial experience

• Experience in the Aviation, Mobility, Edge Devices, and/or Robotics industries.
• Experience deploying ML solutions in industrial, real-world settings.

Personal qualities

• Passionate about helping engineering teams achieve AI/ML goals.
• Comfortable and energized in a fast-paced environment.
• Excited to collaborate and solve problems with others.
• Technical and committed to continuous learning.
• Clear and efficient communication with developers, customers, researchers, partners and executives.
• Hands-on with technology and execution.
• Knowledgeable about modern software engineering processes.
• Comfortable with ambiguity and driven for clarity.
• Collaborative and respectful of others.
• Honest, straightforward, and considerate of teammates.

Why Safe Intelligence

We believe AI can bring great benefits only if systems are safe to use. We are developing advanced deep validation techniques and tools that enable AI/ML engineers to validate robustness and repair fragilities across models.

Joining us offers the opportunity to advance techniques, bring advanced technologies to AI/ML engineers worldwide, and contribute to a shared mission for reliable AI.

Grow with us

If you think you can contribute, please apply even if you do not meet all listed criteria. We are exploring uncharted waters and value ongoing learning, mentorship, and upskilling.

We offer competitive compensation based on role and experience.

Benefits

• Mentoring, learning, and development allowance
• Regular team social and work events
• Flexible and generous holidays

Equality and Inclusion

We are an equal-opportunity employer and strive to create an environment where people from diverse backgrounds can thrive. The team is collaborative and meritocratic, and we encourage all voices to be heard.

Location & culture

Safe Intelligence is based in London, UK. We value flexible and remote work while maintaining the value of regular in-office interactions for a fulfilling work experience. Our culture emphasizes optimism, speed of iteration, and rigor in what matters for safety.

Come and join us to contribute your skills and passion to the future of Safe Artificial Intelligence.

How to apply

Find us on LinkedIn and submit for this role. If you have any questions, please email [e-mail].

We encourage you to apply even if you don’t meet every listed criterion.

Location: London Area, United Kingdom

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Software Development