26 to 50 of 70 Computer Vision Jobs in the UK excluding London

Senior Machine Vision Engineer Aberdeen £65,000 - £75,000 + 30 Days Holiday + Pension + Gym Membership + Electric Vehicle Scheme This company are seeking a skilled Machine Vision Engineer to take a leading role in the design and delivery of advanced embedded vision solutions. This is a newly created position within a growing engineering team … critical sectors. The organisation develops specialised detection products that combine high-speed image analysis with embedded AI, delivering reliable performance in challenging environments. With continued investment in AI and computer vision, they are looking to appoint an expert who can take ownership of vision algorithm development, from concept to certified deployment. The role will involve designing, optimising … bespoke camera hardware, ensuring deterministic and certifiable performance. A great opportunity to join a thriving business at a very exciting time. Key Responsibilities Develop and refine embedded real-time vision algorithms Build image processing pipelines for specialist camera sensors Integrate fixed AI models for regulated applications Ensure consistency, reproducibility, and compliance with certification standards Test and validate algorithms under More ❯

and infrastructure, working closely with data engineering and DevOps functions (Kubernetes, MLflow, Vertex AI, etc.). Acting as a thought leader, identifying new AI use cases and communicating technical vision to executive stakeholders and cross-functional teams. Champion ethical AI principles, ensuring fairness, transparency, and robustness in deployed models. What we need you to have: A deep technical grounding … in machine learning, NLP, computer vision, or autonomous systems,ideally with hands on experience in deep learning frameworks. Proven track record of leading AI initiatives from R&D to production, including delivery of generative AI applications, custom LLMs, or intelligent agents. Strategic mindset with the ability to balance research innovation and commercial value delivery. Comfortable operating across cloud More ❯

evaluation of AI features in production, using real-world data to guide future enhancements and maintain high performance. Experience/Qualifications Required: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 3+ years of experience in AI/ML applications, computer vision, or embedded systems. Experience working with AI/ML More ❯

Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI More ❯

Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement the right fit for More ❯

Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement the right fit for More ❯

Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement the right fit for More ❯

Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement the right fit for More ❯

Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement the right fit for More ❯

ll head up a 4-person Knowledge & Semantics research group within a wider AI & Machine Learning capability (35+ scientists and engineers) that works across domains such as reinforcement learning, computer vision, signal processing, geospatial data, and applied machine intelligence. This is a hands-on research leadership role where you'll guide technical direction, shape R&D proposals, and … delivery across projects Present findings to both technical and non-technical audiences Engage with external collaborators, including academia and innovation partners About You PhD (ideally in AI, Machine Learning, Computer Science, or related field) + 4+ years post-doctoral or industry R&D experience Strong experience leading small R&D teams (ideally 5+ people) Demonstrated success in writing and More ❯

and development goals. Who You Are - Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such … mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities. Minimum Qualifications - Masters or Ph.D. degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning More ❯

libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations More ❯

tactical goals and effectively participates in the development and implementation of business solutions. Contribute to the tech strategy providing clients and technology insights Required Qualifications Master's degree in computer science, Engineering, Physics, Data Science, Operations Research, or related field. 4+ years of hands-on experience in software engineering, data science, IT and/or other relevant engineering domains. … year of successful project management experience in leading and managing engineering teams in a technology-driven company. Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization. Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems, transfer learning etc. Excellent command of Python, Docker and Git. … collaboration and maintain strong client relationships. Solid organizational and time-management skills, coupled with a keen eye for detail. Perfect command of English and Spanish. Preferred Qualifications PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Experience with quantum computing and/or Tensor Networks libraries. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance More ❯

your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify More ❯

One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art More ❯

One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art More ❯

leaders, and opportunities to grow your career in a fast-paced environment. Key Responsibilities Develop new and enhance existing tools for calibration and measurements. Create image processing and machine vision algorithms for system calibration. Develop End of Line (EOL) tools in an automotive production environment. Qualifications To be considered for this role, we are looking for: Bachelor's or … Proficiency in software development with Qt/QML/C++. Good knowledge of multithreading and Object-Oriented Programming (OOP). Experience with image processing (OpenCV) is essential. Knowledge of computer vision (e.g., feature tracking). Strong debugging, problem-solving, and analytical skills. Ability to learn quickly and think outside the box. Attention to detail and the ability to More ❯

Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D/4D (space and time) datasets in the life sciences, using a combination of image processing and machine learning techniques. You will support equally qualified colleagues with a life sciences background, putting to work your prodigious Python … advance the state of a growing software platform which forms the bedrock of future research for a global scientific audience. You will bring: A relevant PhD, most likely in computer science, backed by a good technical degree and strong A-levels. Creativity and reasoning, intellectual curiosity, adaptability, drive and energy, along with an interest in working alongside researchers with … from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar More ❯

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety … contribute to long-term technical strategy for cloud services. Mentor junior engineers and share expertise in cloud technologies, software and architectural design patterns. Required Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related field. 5+ years of industry experience. Experience with Amazon AWS services such as EKS, S3, SQS, RDS, Cognito, and Lambda. Proficiency in Python More ❯

with business leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems More ❯

strategic recommendations to clients and internal stakeholders in a clear, actionable manner. Design and implement predictive models using advanced analytics, including techniques in machine learning, natural language processing (NLP), computer vision, and optimization. Oversee the full lifecycle of multiple data science projects, ensuring effective resource management, resolution of technical challenges, and streamlined code review processes. Provide mentorship and More ❯

and helping shape research and implementation direction. Own performance benchmarks and real-world evaluation loops , continuously improving speed, accuracy, and reliability. Minimum Qualifications PhD or equivalent industry experience in Computer Vision, Robotics, or Machine Learning . 5+ years experience delivering perception systems for real-time robotics (e.g., manipulation, SLAM, autonomous navigation). Strong proficiency in modern C++ … high-impact real-world deployments in robotics. Preferred Qualifications Experience leading perception efforts for manipulation platforms (e.g., bin picking, mobile manipulation, robot arms). Familiarity with multi-modal perception (vision + depth + tactile/force). Strong grasp of 3D geometry, calibration, and SLAM . Published in top-tier venues (e.g., CVPR, RSS, ICRA, CoRL). Contributions to … open-source vision/robotics projects. Comfortable operating in a fast-paced, research-driven, product-oriented environment . What We Offer Competitive salary and equity Comprehensive health and dental cover Conference opportunities Excellent office space A deeply technical and collaborative team If you’re excited to lead perception in a company where research meets real-world deployment , we’d More ❯

3D image analysis, life sciences/bio, machine learning, CNNs Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D/4D (space and time) datasets in the life sciences, using a combination of image processing and machine learning techniques. You will support equally qualified colleagues with … advance the state of a growing software platform which forms the bedrock of future research for a global scientific audience. You will bring: A relevant PhD, most likely in computer science, backed by a good technical degree and strong A-levels. Creativity and reasoning, intellectual curiosity, adaptability, drive and energy, along with an interest in working alongside researchers with … from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar More ❯

strategic recommendations to clients and internal stakeholders in a clear, actionable manner. Design and implement predictive models using advanced analytics, including techniques in machine learning, natural language processing (NLP), computer vision, and optimization. Oversee the full lifecycle of multiple data science projects, ensuring effective resource management, resolution of technical challenges, and streamlined code review processes. Provide mentorship and More ❯

Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning, large language model, and computer vision, that have been successfully delivered to customers - Experience directly managing scientists or machine learning engineers (5+ years) - Experience directly managing science managers (2+ years) Our inclusive culture More ❯