212 Machine Learning Specialist Computer Vision jobs in the United Kingdom

Job Title: Machine Learning Engineer – Computer Vision Focus

Overview:

We’re looking for a skilled Machine Learning Engineer to join a growing technology company building cutting-edge solutions for real-world automation. You’ll be part of a small, collaborative team applying computer vision to improve performance, efficiency, and user experience across multiple sectors.

This role offers the chance to work on high-impact machine learning problems, shape production-ready models, and contribute to the development of a platform that’s democratising access to AI-driven automation.

Key Responsibilities:

• Model Development: Design, train, and deploy machine learning models for computer vision use cases such as object detection, classification, and segmentation.
• Data Handling: Collaborate with data engineers to manage large datasets, ensuring quality data pipelines for model training and evaluation.
• Algorithm Tuning: Optimise model performance through experimentation with architectures and hyperparameters.
• Cross-Functional Collaboration: Work closely with engineers, product managers, and designers to integrate ML solutions into customer-facing applications.
• Monitoring & Maintenance: Maintain model performance in production, troubleshoot issues, and roll out updates as needed.
• Research & Innovation: Keep current with advances in ML and CV, and apply new methods to solve business problems.

Your Profile:

• Master’s degree (or equivalent) in Computer Science, Machine Learning, or a related field.
• 3+ years of experience deploying ML models in production.
• Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes).
• Solid grounding in computer vision and experience with large-scale data.
• Bonus: exposure to reinforcement learning methods.

What’s on Offer:

• Flexible Work Setup: Hybrid-first approach with the option to work remotely or from our London collaboration space.
• Equity Options: Share in the company’s long-term success.
• Time Off: Up to 34 days annual leave including UK public holidays.
• Health & Wellbeing: Comprehensive private health cover (including mental health, dental, optics, and travel insurance).
• Retreats & Team Events: Regular in-person team gatherings and an annual company-wide retreat.
• Pension Scheme: Employer-supported contribution plan.
• Culture: Inclusive, open-minded, and team-oriented working environment.

Job Title: Machine Learning Engineer – Computer Vision Focus

Overview:

We’re looking for a skilled Machine Learning Engineer to join a growing technology company building cutting-edge solutions for real-world automation. You’ll be part of a small, collaborative team applying computer vision to improve performance, efficiency, and user experience across multiple sectors.

This role offers the chance to work on high-impact machine learning problems, shape production-ready models, and contribute to the development of a platform that’s democratising access to AI-driven automation.

Key Responsibilities:

• Model Development: Design, train, and deploy machine learning models for computer vision use cases such as object detection, classification, and segmentation.
• Data Handling: Collaborate with data engineers to manage large datasets, ensuring quality data pipelines for model training and evaluation.
• Algorithm Tuning: Optimise model performance through experimentation with architectures and hyperparameters.
• Cross-Functional Collaboration: Work closely with engineers, product managers, and designers to integrate ML solutions into customer-facing applications.
• Monitoring & Maintenance: Maintain model performance in production, troubleshoot issues, and roll out updates as needed.
• Research & Innovation: Keep current with advances in ML and CV, and apply new methods to solve business problems.

Your Profile:

• Master’s degree (or equivalent) in Computer Science, Machine Learning, or a related field.
• 3+ years of experience deploying ML models in production.
• Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes).
• Solid grounding in computer vision and experience with large-scale data.
• Bonus: exposure to reinforcement learning methods.

What’s on Offer:

• Flexible Work Setup: Hybrid-first approach with the option to work remotely or from our London collaboration space.
• Equity Options: Share in the company’s long-term success.
• Time Off: Up to 34 days annual leave including UK public holidays.
• Health & Wellbeing: Comprehensive private health cover (including mental health, dental, optics, and travel insurance).
• Retreats & Team Events: Regular in-person team gatherings and an annual company-wide retreat.
• Pension Scheme: Employer-supported contribution plan.
• Culture: Inclusive, open-minded, and team-oriented working environment.

Research Engineering Manager

Location - London / Hybrid (3 days onsite, 2 days remote)

What are we looking for:

MicroTECH Global are looking for unique people for a distinctive technology.

Are you a Research Engineering Manager, who has a passion for technology, with a love to lead cutting-edge new research ideas that shapes the future of Technology?

We are seeking a driven and experienced Technical Manager to lead our clients research group. You will guide groundbreaking research projects in areas such as video and point cloud compression, AI/ML Applications & algorithm optimization for both performance and visual quality.

About the company:

MicroTECH Global are working with a company who are at the forefront of parallel data compression, with deep expertise in AI, data compression & XR (extended reality) They have developed multiple award-winning software products that are transforming industries such as TV, Live event production, Entertainment, Social Networks, Media, Aerospace, Automotive & Gaming

They achieve their goals by keeping our innovation cycle as agile and flexible as possible, with continuously testing and challenging assumptions. Thanks to the unique technology within the in-house testing facilities, they quickly pass from ideas to implementations.

Responsibilities:

As a Research Engineering Manager, you will:

• Leadership: Manage the day-to-day activities of the Research Group, ensuring timely project delivery, team performance, and recruitment of top talent.

• People Development: Actively mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing any concerns.

• Technical Leadership: Lead the design of algorithms and software for data compression systems, guiding your team in developing cutting-edge solutions.

• Documentation: Create and maintain technical documentation, including project reports, white papers, and intellectual property (IP) capture

• Process Improvement: Continuously enhance the Research Group’s processes and tools, driving efficiency and quality across the department.

Background and Experience:

• Passion for Research: A deep enthusiasm for advancing research in a dynamic environment.

• Pragmatism: A passion for hypothesis-driven innovation, enabling rapid cycles of iteration and fast-tracked delivery of Minimum Viable Products.

• Technical Expertise: Experience in designing and developing data compression solutions, AI/ML technologies, and/or C++ development.

• Leadership Skills: Proven ability to manage and mentor a skilled team, driving projects to completion within commercial deadlines.

• Communication Skills: Excellent written and verbal communication, including technical documentation and project reporting.

• Flexibility: Ability to thrive in an innovative, cross-functional environment where initiative and adaptability are key.

• Deep understanding of data compression technologies, including lossy/lossless compression, quality metrics, and colour spaces.

• Knowledge of the end-to-end software development lifecycle, with experience collaborating across teams.

• Proficiency in Python and C++ software development.

• Experience with parallel processing programming.

• Understanding of standardization processes and standard-developing organizations (SDOs).

Beneficial to have:

• Knowledge of objective Visual Quality (VQ) assessment techniques.

• Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI.

• Experience in Intellectual Property development.

• Experience presenting research findings at conferences and within video-centric forums.

• Contribution to standard-developing organizations (SDOs).

• Experience with Agile development methodologies and tools like JIRA.

• Proficiency in software development tools such as GIT.

Research Engineering Manager

Location - London / Hybrid (3 days onsite, 2 days remote)

What are we looking for:

MicroTECH Global are looking for unique people for a distinctive technology.

Are you a Research Engineering Manager, who has a passion for technology, with a love to lead cutting-edge new research ideas that shapes the future of Technology?

We are seeking a driven and experienced Technical Manager to lead our clients research group. You will guide groundbreaking research projects in areas such as video and point cloud compression, AI/ML Applications & algorithm optimization for both performance and visual quality.

About the company:

MicroTECH Global are working with a company who are at the forefront of parallel data compression, with deep expertise in AI, data compression & XR (extended reality) They have developed multiple award-winning software products that are transforming industries such as TV, Live event production, Entertainment, Social Networks, Media, Aerospace, Automotive & Gaming

They achieve their goals by keeping our innovation cycle as agile and flexible as possible, with continuously testing and challenging assumptions. Thanks to the unique technology within the in-house testing facilities, they quickly pass from ideas to implementations.

Responsibilities:

As a Research Engineering Manager, you will:

• Leadership: Manage the day-to-day activities of the Research Group, ensuring timely project delivery, team performance, and recruitment of top talent.

• People Development: Actively mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing any concerns.

• Technical Leadership: Lead the design of algorithms and software for data compression systems, guiding your team in developing cutting-edge solutions.

• Documentation: Create and maintain technical documentation, including project reports, white papers, and intellectual property (IP) capture

• Process Improvement: Continuously enhance the Research Group’s processes and tools, driving efficiency and quality across the department.

Background and Experience:

• Passion for Research: A deep enthusiasm for advancing research in a dynamic environment.

• Pragmatism: A passion for hypothesis-driven innovation, enabling rapid cycles of iteration and fast-tracked delivery of Minimum Viable Products.

• Technical Expertise: Experience in designing and developing data compression solutions, AI/ML technologies, and/or C++ development.

• Leadership Skills: Proven ability to manage and mentor a skilled team, driving projects to completion within commercial deadlines.

• Communication Skills: Excellent written and verbal communication, including technical documentation and project reporting.

• Flexibility: Ability to thrive in an innovative, cross-functional environment where initiative and adaptability are key.

• Deep understanding of data compression technologies, including lossy/lossless compression, quality metrics, and colour spaces.

• Knowledge of the end-to-end software development lifecycle, with experience collaborating across teams.

• Proficiency in Python and C++ software development.

• Experience with parallel processing programming.

• Understanding of standardization processes and standard-developing organizations (SDOs).

Beneficial to have:

• Knowledge of objective Visual Quality (VQ) assessment techniques.

• Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI.

• Experience in Intellectual Property development.

• Experience presenting research findings at conferences and within video-centric forums.

• Contribution to standard-developing organizations (SDOs).

• Experience with Agile development methodologies and tools like JIRA.

• Proficiency in software development tools such as GIT.

Machine Learning Engineer – Founding Team (Computer Vision / GenAI)

Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity

A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems.

What You’ll Work On:

Computer Vision:

Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet).

LLM & RAG Systems:

Design and implement pipelines that support retrieval-augmented generation, internal AI tools, and scalable content delivery. Experience with vector databases, agent frameworks, or data workflows is highly relevant.

Deployment & MLOps:

Own model deployment pipelines, including API-based serving, monitoring, and cloud infrastructure (AWS preferred, but others welcome). Bonus points for edge/offline deployment experience.

Product & Strategy:

Work directly with the founder on roadmap decisions, help shape technical direction, and grow into a potential leadership role as the team expands.

About You:

• 2–5+ years of experience in ML/CV/GenAI
• Proficiency in Python, ML frameworks, and cloud-based infrastructure
• Product-focused mindset with a desire to shape early-stage tech
• UK-based and open to occasional travel for testing and collaboration

Why Join:

• Build something novel at the intersection of CV and GenAI
• Be part of the founding team with real influence and equity
• Work remotely with the flexibility to grow your role as we scale
• Backed by strong early traction and funding

Machine Learning Engineer – Founding Team (Computer Vision / GenAI)

Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity

A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems.

What You’ll Work On:

Computer Vision:

Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet).

LLM & RAG Systems:

Design and implement pipelines that support retrieval-augmented generation, internal AI tools, and scalable content delivery. Experience with vector databases, agent frameworks, or data workflows is highly relevant.

Deployment & MLOps:

Own model deployment pipelines, including API-based serving, monitoring, and cloud infrastructure (AWS preferred, but others welcome). Bonus points for edge/offline deployment experience.

Product & Strategy:

Work directly with the founder on roadmap decisions, help shape technical direction, and grow into a potential leadership role as the team expands.

About You:

• 2–5+ years of experience in ML/CV/GenAI
• Proficiency in Python, ML frameworks, and cloud-based infrastructure
• Product-focused mindset with a desire to shape early-stage tech
• UK-based and open to occasional travel for testing and collaboration

Why Join:

• Build something novel at the intersection of CV and GenAI
• Be part of the founding team with real influence and equity
• Work remotely with the flexibility to grow your role as we scale
• Backed by strong early traction and funding

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.

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.