54 Head Of AI Computer Vision jobs in the United Kingdom

Head of AI

Salary: £110,000-£130,000 + equity/benefits

Location: London - 4 days a week in office

Manage and lead a dynamic team of Machine Learning Engineers working on high-impact, computer vision models in the media and gaming space.

ROLE AND RESPONSIBILITIES

• Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision
• Working alongside technical and non-technical stakeholders
• Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform
• Opportunity to upskill and manage whilst doing code reviews, reporting into the CTO

SKILLS AND EXPERIENCE

Required

• MSc or PhD in STEM related subject + experience in ML Engineering
• Proficiency in Python, PyTorch, TensorFlow and AWS
• Then experience in leading projects across Computer Vision
• Management and leadership experience is required
• Excellent communication skills with proven experience working with stakeholders
• Previous startup experience is preferred

This role is looking for someone with a short notice period, ideally starting in March/early April.

Apply below!

Staff Engineer – Computer Vision & ML

Hybrid (2+ days/week in London)

Permanent | up to £160k + equity

A well-funded startup is redefining how the world's top brands understand and act on real-world data. Their product uses state-of-the-art Visual AI to deliver insights in retail environments—at scale, in real time, and on edge devices.

As they continue to scale across Europe and the US, they are hiring a Staff Engineer to lead technical direction across their Machine Learning and Computer Vision teams. This is a hands-on leadership role suited to someone who thrives in applied AI environments and knows how to balance architectural vision with practical execution.

What You’ll Do

• Lead the technical direction for applied ML/CV efforts across edge and mobile platforms
• Architect and optimise scalable vision pipelines for real-world performance
• Act as a mentor and multiplier—raising the bar across a team of ML/CV engineers
• Stay close to code: from rapid prototyping to production-ready models
• Evaluate, test and deploy new techniques (e.g. synthetic data, efficient fine-tuning methods, robust inference strategies)
• Collaborate cross-functionally with product, infra, and customer success teams

What We’re Looking For

• Proven track record delivering applied ML/CV solutions as an individual contributor
• Deep experience with detection/recognition models (e.g. YOLO, Mask R-CNN, custom pipelines)
• Practical understanding of edge deployment constraints (latency, performance, robustness)
• Strong Python skills and familiarity with libraries like PyTorch, OpenCV, and TensorRT
• Experience leading technical direction and mentoring other engineers
• Ability to own problems end-to-end, with minimal external support

Bonus Points For

• Experience with synthetic data generation and domain adaptation techniques
• Contributions to open-source ML/CV projects
• Experience working with mobile ML frameworks (e.g. Core ML, ONNX, TFLite)

Staff Engineer – Computer Vision & ML

Hybrid (2+ days/week in London)

Permanent | up to £160k + equity

A well-funded startup is redefining how the world's top brands understand and act on real-world data. Their product uses state-of-the-art Visual AI to deliver insights in retail environments—at scale, in real time, and on edge devices.

As they continue to scale across Europe and the US, they are hiring a Staff Engineer to lead technical direction across their Machine Learning and Computer Vision teams. This is a hands-on leadership role suited to someone who thrives in applied AI environments and knows how to balance architectural vision with practical execution.

What You’ll Do

• Lead the technical direction for applied ML/CV efforts across edge and mobile platforms
• Architect and optimise scalable vision pipelines for real-world performance
• Act as a mentor and multiplier—raising the bar across a team of ML/CV engineers
• Stay close to code: from rapid prototyping to production-ready models
• Evaluate, test and deploy new techniques (e.g. synthetic data, efficient fine-tuning methods, robust inference strategies)
• Collaborate cross-functionally with product, infra, and customer success teams

What We’re Looking For

• Proven track record delivering applied ML/CV solutions as an individual contributor
• Deep experience with detection/recognition models (e.g. YOLO, Mask R-CNN, custom pipelines)
• Practical understanding of edge deployment constraints (latency, performance, robustness)
• Strong Python skills and familiarity with libraries like PyTorch, OpenCV, and TensorRT
• Experience leading technical direction and mentoring other engineers
• Ability to own problems end-to-end, with minimal external support

Bonus Points For

• Experience with synthetic data generation and domain adaptation techniques
• Contributions to open-source ML/CV projects
• Experience working with mobile ML frameworks (e.g. Core ML, ONNX, TFLite)

Engineering Manager – AI/ML (Computer Vision Focus)

• Up to £120/130k + bonus + shares
• Remote-first – occasional travel to London
• Innovating real-time AI in a world-class SportsTech environment

I’m working with a pioneering company in the SportsTech industry that’s scaling their AI capabilities and continuing to push the boundaries of real-time computer vision applications. As part of this growth, they’re looking for an Engineering Manager – AI/ML to lead a talented team of 11 engineers in building next-gen Computer Vision and AI solutions.

This role is ideal for someone with strong leadership experience who enjoys guiding technical architecture and design but prefers to remain hands-off in coding. You’ll play a critical part in shaping real-time AI systems while fostering engineering best practices and a strong, collaborative culture.

What you’ll be doing:

• Lead and grow a team of 11 AI/ML engineers, primarily focused on computer vision.
• Drive architectural decisions and technical direction across real-time AI systems.
• Work closely with senior stakeholders to align engineering efforts with business goals.
• Create a culture of high performance, mentorship, and continuous learning.
• Own delivery processes and technical planning while staying high-level and strategic.
• Ensure solutions are scalable, reliable, and well-architected for future growth.

What we’re looking for:

• Proven experience managing high-performing engineering teams in AI/ML & Computer Vision.
• Strong technical background with an emphasis on architecture and system design.
• Preference for candidates with experience building real-time or low-latency systems – not essential.
• Ability to lead without being hands-on – this role is more strategic and people-focused.
• Excellent communication and stakeholder management skills.

If you're an engineering leader passionate about AI/ML and looking to build something impactful in a fast-paced environment, I’d love to hear from you.

Engineering Manager – AI/ML (Computer Vision Focus)

Engineering Manager – AI/ML (Computer Vision Focus)

• Up to £120/130k + bonus + shares
• Remote-first – occasional travel to London
• Innovating real-time AI in a world-class SportsTech environment

I’m working with a pioneering company in the SportsTech industry that’s scaling their AI capabilities and continuing to push the boundaries of real-time computer vision applications. As part of this growth, they’re looking for an Engineering Manager – AI/ML to lead a talented team of 11 engineers in building next-gen Computer Vision and AI solutions.

This role is ideal for someone with strong leadership experience who enjoys guiding technical architecture and design but prefers to remain hands-off in coding. You’ll play a critical part in shaping real-time AI systems while fostering engineering best practices and a strong, collaborative culture.

What you’ll be doing:

• Lead and grow a team of 11 AI/ML engineers, primarily focused on computer vision.
• Drive architectural decisions and technical direction across real-time AI systems.
• Work closely with senior stakeholders to align engineering efforts with business goals.
• Create a culture of high performance, mentorship, and continuous learning.
• Own delivery processes and technical planning while staying high-level and strategic.
• Ensure solutions are scalable, reliable, and well-architected for future growth.

What we’re looking for:

• Proven experience managing high-performing engineering teams in AI/ML & Computer Vision.
• Strong technical background with an emphasis on architecture and system design.
• Preference for candidates with experience building real-time or low-latency systems – not essential.
• Ability to lead without being hands-on – this role is more strategic and people-focused.
• Excellent communication and stakeholder management skills.

If you're an engineering leader passionate about AI/ML and looking to build something impactful in a fast-paced environment, I’d love to hear from you.

Engineering Manager – AI/ML (Computer Vision Focus)

Role Description

This position involves researching, developing, and implementing real-time image processing algorithms for a high-performance visualization platform. Key responsibilities include:

• Developing and optimizing existing image processing algorithms for enhanced visual performance and execution speed.
• Proposing, researching, and developing innovative algorithms relevant to the platform.
• Delivering high-quality, specification-compliant code.
• Utilizing tools like OpenCV, TensorFlow, and other computer vision libraries.
• Applying knowledge of machine learning algorithms and neural networks to enhance processing techniques.
• Producing high-quality design documentation that adheres to software standards for regulated industries.
• Demonstrating proficiency in computer vision, image processing, and deep learning methodologies.
• Conducting tests, code reviews, and other quality assurance activities.
• Rapid prototyping for proof-of-concept initiatives.
• Contributing to research and development planning and execution.
• Supporting intellectual property management and development.
• Collaborating with external partners as required by leadership.

Qualifications

Essential Requirements:

• A master's degree or, preferably, a PhD in a relevant field such as computer science.
• Demonstrated experience in developing novel image processing algorithms at a low level.
• Proven ability to create parallelizable algorithm implementations for real-time video processing.
• Strong coding skills in C/C++.

Desirable Skills and Abilities:

• Experience writing CUDA kernel code.
• Proficiency in optimizing algorithms for speed during both design and implementation stages.
• Familiarity with camera calibration and 3D reconstruction techniques.
• Strong presentation and communication skills, especially when explaining technical concepts to non-specialists.
• Self-motivated with the ability to work independently, prioritize tasks, and meet deadlines.
• Willingness to contribute ideas to R&D strategy and planning.
• Quick learner with minimal supervision requirements.
• Exceptional report writing skills and familiarity with MS Office tools.
• Demonstrated project management and time-planning expertise.
• A foundational understanding of clinical or biomedical engineering concepts.
• Fluency in English.

About the job

Job Title: Senior Computer Vision Engineer

Location: On-site, Oxfordshire (2 days a week)

Salary Range: £70k - £100k

Must be a British citizen or dual national in order pass security clearance.

About the role

A deeptech AV start-up are developing multiple platforms capable of navigating through challenging outdoor environments. This is a fast growing team aiming to nearly double in size this year. They already have funding and customers in place with exciting strategic partnerships to announce in the coming months.

They’re building multi-modal systems that integrate vision, LiDAR, radar, thermal, and language models into real-time AI for autonomous platforms.

This is deeply applied work, where advanced research is translated into operational capability. The expectation for Senior Engineers and Technical Leaders joining the business is impact, if you believe you can lead and add value they will not stifle you and provide an environment for you to thrive and see your ambitious ideas implemented into physical products.

They are seeking technical specialists across several domains including:

• Computer vision & multi-sensor fusion
• Robotics & embedded AI
• Vision-language models & real-time decision-making
• Edge systems deployment

THIS CLIENT IS OPEN TO SPECIALISTS IN THE ABOVE DOMAINS AT ANY LEVEL OF SENIORITY SO PLEASE STILL APPLY IF YOU ARE ABOVE A SENIOR STILL APPLY!

Key Responsibilities

• Design and implement cutting-edge computer vision and sensor fusion algorithms across modalities (e.g., visual, thermal, radar, LiDAR).
• Develop AI models suitable for edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi).
• Collaborate with engineers, researchers, and domain experts to integrate perception modules into operational systems.
• Build and maintain robust ML pipelines suitable for constrained or offline environments.
• Stay current with developments in vision-language models, generative AI, and multi-modal learning, and apply relevant advances to ongoing work.

Ideal Candidate

• Demonstrable experience deploying solutions into defence, aerospace, or other regulated domains.
• Deep understanding of computer vision techniques for detection and localisation.
• Strong experience working with embedded or constrained compute platforms.
• Proficiency in Python and major machine learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS).
• Experience with building and maintaining end-to-end ML pipelines.

Bonus experience

• Experience in start-up or rapid R&D environment
• Familiarity with MLOps and best practices in ML system reliability.
• Experience designing and deploying RESTful APIs.
• Contributions to open-source projects, GitHub portfolio or published research.
• Experience engaging stakeholders, writing technical documentation or supporting proposals.