26 to 50 of 115 Computer Vision Jobs in the UK excluding London

stakeholder requirements into scalable AI architectures, technical designs and measurable outcomes. Develop, train, evaluate and optimise machine learning models across areas such as computer vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking …/ML frameworks such as PyTorch, TensorFlow, Scikit‐Learn and Hugging Face. Proven experience developing and deploying machine learning solutions, including deep learning, computer vision, NLP/LLMs or time‐series analytics. Experience working with autonomy frameworks such as ROS2 and integrating AI into autonomous or intelligent systems. ...

stakeholder requirements into scalable AI architectures, technical designs and measurable outcomes. Develop, train, evaluate and optimise machine learning models across areas such as computer vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking …/ML frameworks such as PyTorch, TensorFlow, Scikit‐Learn and Hugging Face. Proven experience developing and deploying machine learning solutions, including deep learning, computer vision, NLP/LLMs or time‐series analytics. Experience working with autonomy frameworks such as ROS2 and integrating AI into autonomous or intelligent systems. ...

processes. Partner with product and business leaders to integrate AI-driven capabilities into Nordson XRT products. Explore opportunities to leverage machine learning, predictive analytics, computer vision, and intelligent automation to improve customer productivity, equipment performance, and operational reliability. Establish governance and best practices for the responsible and effective … Engineering, Product Management, Operations, Sales, Service, and Executive Leadership. Effectively manage complex stakeholder environments and conflicting priorities. Skills and Qualifications Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related discipline. 10+ years of software engineering experience with progressive leadership responsibility. Proven experience leading geographically distributed ...

Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans … Degree/Masters, an equivalent in a relevant Software/AI subject, or equivalent experience. Relevant subject areas may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Engineering, Physics or a related technical discipline. Strong Python programming skills; proficiency with modern software engineering and research practices, including ...

diagnostics, performance optimisation, secure and robust systems, Linux build systems (e.g. Yocto), media pipelines (e.g. GStreamer), FFMPEG, IoT devices, sensor data processing, signal conditioning, computer vision, FPGA exposure, electronics fundamentals. Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation ...

stage concepts through to production. Develop, evaluate and integrate AI/ML models and applications. Work across modern AI technologies including LLMs, RAG, NLP, Computer Vision and agent-based systems. Assess model performance, investigate failure modes and optimise solutions. Develop robust, high-quality Python software for technically complex … solutions. Good understanding of how AI/ML models work, rather than simply using pre-built models as black-box components. Degree in Computer Science, Mathematics, Physics, Engineering, Machine Learning or another relevant technical discipline. Strong analytical, problem-solving and communication skills. Desirable Experience Machine Learning model development ...

based assistants, copilots, and conversational AI systems Integrate AI solutions with enterprise applications and APIs Hands on experience in Natural Language Processing (NLP), Computer Vision & Voice AI Build and manage ML pipelines (training, validation, deployment, monitoring) Ensure model explainability, fairness, and governance compliance Implement AI guardrails including safety … Learning frameworks (TensorFlow, PyTorch, etc.) Generative AI & LLM ecosystems (OpenAI, Hugging Face, LangChain, etc.) Agentic AI/Multi-agent system design Expertise in: NLP, Computer Vision, and Conversational AI Model deployment (MLOps, APIs, cloud platforms) Data processing and feature engineering Expertise in source safing tools like Github/ ...

procurement processes, and capital planning timelines. Solution Shaping & Delivery Oversight Identify and shape high-impact AI use cases, including: Predictive maintenance and asset monitoring Computer vision for inspection (drone, aerial, and field imagery) Safety and compliance automation Intelligent document processing from engineering documentation Geospatial, LiDAR, and digital twin … outcomes. Thought Leadership & Industry Impact Stay at the forefront of AI trends across the energy value chain, including asset digitization, predictive operations, and computer vision at scale. Contribute to CloudFactory’s external presence through industry events, client engagements, and thought leadership. Bring sector insights into product, delivery ...

Project Manager – University of Surrey The Centre for Vision, Speech, and Signal Processing is seeking to recruit a Project Manager to support major research projects in generative AI, computer vision and LLM development. You will join an established research group within a highly rated research department, with … close links with industry. Surrey’s Institute for People-Centred AI builds on 40 years of work into foundational AI at the Centre for Vision, Speech and Signal Processing (CVSSP) which is ranked 1st in the UK for Computer Vision and in the top-5 for both ...

DfMA and industrialised construction. Rapidly prototype AI-enabled workflows using existing models, APIs and tools. Explore applications involving LLMs, AI agents, generative AI, computer vision and optimisation. Investigate integration between AI, computational design, BIM and digital manufacturing. Test ideas against live Product Development projects. Work with specialist … explore new AI-enabled approaches. Rapidly build and test AI-enabled concepts and workflows. Experiment with existing LLMs, AI agents, generative AI and computer vision technologies. Develop proof-of-concept tools and workflows. Explore connections between AI, computational design, BIM and digital manufacturing. Test concepts against real Product ...

Monitor team performance and delivery metrics to ensure successful outcomes. Asset Intelligence & Digital Innovation Deliver projects involving: Artificial Intelligence (AI) Machine Learning Digital Twins Computer Vision IoT and Telemetry Solutions Predictive Analytics Network Optimisation Platforms Support the transition of pilot solutions into operational business-as-usual environments. Facilitate … Experience with: Microsoft Project (MSP) Microsoft Visio Microsoft Office Suite Azure DevOps Jira Trello Agile Delivery Toolsets Knowledge of: Digital Twins AI & Machine Learning Computer Vision Telemetry Platforms IoT Technologies Predictive Analytics Asset Intelligence Solutions Key Deliverables Detailed project plans and schedules RAID logs and status reporting Sprint ...

development and verification of Guidance, Navigation and Control systems for complex satellite missions. This is an exciting opportunity to work on advanced GNC and computer vision technologies, contributing to highly innovative spacecraft systems and missions. The Role You will contribute across the GNC development lifecycle, including: Developing … subsystem requirements, architectures, FDIR and V&V strategies. Supporting the integration of GNC algorithms, computer vision and GNC hardware. Working with multidisciplinary engineering teams to ensure GNC performance and system compatibility. Conducting research into emerging GNC technologies, algorithms and hardware. Supporting algorithm development, hardware selection and system integration. ...

plant traits with molecular signatures and generate biological insights. Essential Skills, Qualifications & Experience: A PhD or equivalent research experience in Computational Biology, Machine Learning, Computer Vision or a related discipline Demonstrated experience independently developing, implementing and evaluating computational methods to address biological questions. Familiarity with at least … different omics types and demonstrated experience in multi-omics integration Experience in applying computer vision methods, including image segmentation and feature extraction, to biological datasets Experience in extracting features from imaging and omics data, and building multi-modal integration pipelines to uncover novel insights. Able to communicate scientific ...

Ryzen Embedded 8000 Series, AMD EPYC Embedded 7000 Series, or similar competing products. Experience with Physical AI, robotics, industrial automation, autonomous systems, computer vision, AI/ML deployment, or edge AI software frameworks is highly desirable. Familiarity with robotics and Physical AI technologies such as ROS/ROS2 … Gazebo, containerized deployment workflows, edge AI frameworks, and heterogeneous computing platforms is a plus. OTHER QUALIFICATIONS BS/MS in Computer Science, Computer Engineering, or Electrical Engineering. #LI-LC1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies ...

world today! We are seeking an experienced AI Research Lead to support the development of advanced AI solutions involving Large Language Models (LLMs), Vision Language Models (VLMs), Computer Vision, and Multimodal AI systems . The successful candidate will combine strong research expertise with hands‐on engineering experience ...

troubleshooting problems. Capable to lead projects, drive technological innovation, and focus on advanced research. Your Contribution System design and implementation:Develop and deploy automated vision systems for tasks like defect detection, object recognition, robot guidance and dimensional measurement in high volume manufacturing and production environments. Programming and configuration: Program … software would be preferable. Collaboration: Work with cross-functional teams, including quality assurance, operations, and mechanical and electrical development, to gather requirements and integrate vision systems into broader automation platforms. Troubleshooting and maintenance: Provide support and perform diagnostics on existing vision systems to ensure continuous, accurate operation. Documentation ...

team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions … stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors. Experience of training and developing ...

technical marketing, and building executable account plans with Field Sales and Field Applications Engineering. The role has particular relevance to industrial automation, robotics, machine vision, edge AI, embedded networking and other high-value embedded applications. Success requires a business-development mindset: creating demand, opening doors, developing partners, qualifying opportunities … foundation in one or more of the following: FPGAs, SoCs, embedded processors, programmable logic, real-time systems, embedded software, high-speed interfaces, industrial networking, computer vision, robotics, edge AI or system architecture. Ability to understand and explain system-level trade-offs involving performance, latency, power, cost, flexibility, reliability ...

Execution Systems, etc. Experience extending lab automation into quality labs and manufacturing lines, working with automation, business and tech teams. Strong experience in computer vision systems, embedded systems and edge AI. Track record of contributing reusable engineering patterns back to a broader team. Education Bachelor’s degree … Computer Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous Working Pattern This is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available. Locations ...

Software Engineer Machine Vision We are looking for an AI Software Engineer to develop software and artificial intelligence models, primarily for machine vision applications. Combining software engineering with applied AI, you will help turn visual data into practical capabilities and integrate those capabilities into reliable applications. The role … Responsibilities Design, develop and maintain software using C++, C# and Python, selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate ...

solution architecture, Preparing and presenting analytical results to business and technical stakeholders. Qualifications 6–8+ years of professional experience in data analysis, statistical modeling, computer vision or machine learning, including at least 4 years as a Data Scientist, Hands-on experience deploying ML models to production, not just ...

Software Engineer Machine Vision X 2 We are looking for 2 AI Software Engineer to develop software and artificial intelligence models, primarily for machine vision applications. Combining software engineering with applied AI, you will help turn visual data into practical capabilities and integrate those capabilities into reliable applications. … Responsibilities Design, develop and maintain software using C++, C# and Python, selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate ...

visibility, regular reporting, and leadership of team engagement activities. Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. ...

environment management (e.g. venvs, Docker)Expert knowledge of AI/ML algorithms across different data types and tasks, including Generative AI, NLP and computer vision, sufficient to propose research beyond the existing literatureHands-on experience training and developing AI models, including Large Language ModelsThis is a permanent opportunity ...

expect you to know everything — but we’re looking for someone who has: 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn ...