76 to 100 of 133 Computer Vision Jobs in the UK excluding London

operational IT planning and activity to a non-technical audience. Key Responsibilities Be an active part of the company’s technology and AI vision and support all aspects of the company’s technological and AI development. Be part of the product roadmap development and delivery in consultation with … thinking Problem-solving aptitude GDPR and International Data Regulations Awareness Technical Competence Required experience: Azure AI Azure Foundry/Foundry IQ/AI Hub Computer Vision Document Intelligence Text Analytics Speech Services Translation Services Python ML/LLMs C# .Net Standard/C# .Net Core/C# .Net ...

train deep learning models using TensorFlow or PyTorch. ✔️ Process and analyze large-scale structured and unstructured datasets. ✔️ Apply natural language processing (NLP) and computer vision techniques. ✔️ Integrate AI solutions into existing products and platforms. ✔️ Optimize model accuracy, efficiency, and scalability. ✔️ Research new AI frameworks, methodologies, and technologies. ✔️ Deploy ...

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 ...

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 ...

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 ...

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 ...

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 ...

background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG,Agentic AI(e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external training opportunities, with specialist sector ...

frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers ...

unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging Face, cloud platforms, MLOps, computer vision, NLP, geospatial data or multimodal AI would also be of interest, although candidates are not expected to have experience across every area. ...

working across a broad range of technologies and engineering disciplines, including: Artificial Intelligence and machine learning AI systems engineering and integration Natural Language Processing Computer vision and image processing Quantum technologies C++ and Python development Modern web technologies Cloud-native engineering Distributed systems and architecture Network protocols ...

development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make use of the latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track ...

refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code ...

embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long-term business … with clients, demonstrating technical expertise and understanding of their domain and objectives Driving platform engineering work at the client level, connecting long-term technical vision to what ships Leading platform strategy and delivery across diverse platform types, connecting long-term vision to what ships Working pragmatically to balance ...

Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking for an AI/ML researcher to join the Knowledge … projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You should have existing skills in Machine Learning (ML), will need ...

Remote Company Overview Our client is building advanced AI and autonomy technologies that solve some of the most technically challenging problems in computer vision, robotics and machine learning. Role Overview We are seeking a Senior Robotics Software Engineer to develop, test and deploy software for autonomous and semi … Provide technical leadership and establish engineering best practices across robotics projects Support knowledge sharing and technical development within the wider team Requirements Degree in Computer Science, Engineering, Robotics or a related discipline advantageous Commercial experience developing software for robotic systems Strong Python and C++ development skills Experience with ROS2 ...

About Us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our corepurpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship withour … finance, and supply chain. The Data Science team works across several domains and problem types: forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided ...

internal teams to define requirements, design AI-augmented workflows, and oversee proof-of-concept (PoC) delivery.* Stay current with emerging technologies (LLMs, generative AI, computer vision, digital twins, process mining) and assess their applicability to the programmes of work.* Drive adoption of low-code/no-code platforms ...

communicate complex technical concepts clearly to both technical and non-technical audiences. Desirable Experience developing machine learning models, particularly in reinforcement learning or computer vision. Experience with robotics or autonomous systems, including path-planning problems or ROS. Knowledge of software development best practices, including testing, documentation and continuous integration. ...

systems and services for high-stakes environments. As the Principal AI Engineer at Synoptix, you will help shape the scope, direction, and technical vision of the engineering projects you lead. You will engage with both internal and external stakeholders at a high level, whilst feeding insights back … technical leader, playing a key role in advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance ...

operational IT planning and activity to a non‐technical audience. Key Responsibilities Be an active part of the company’s technology and AI vision and support all aspects of the company’s technological and AI development. Be part of the product roadmap development and delivery in consultation with … organisational abilities Ability to conduct analysis and research Strategic thinking Problem‐solving aptitude GDPR and International Data Regulations Awareness Technical Competence Required experience: Computer Vision Text Analytics Translation Services Python ML/LLMs C# .Net Standard/C# .Net Core/C# .Net #J-18808-Ljbffr ...

experienced systems professional to lead the development, administration, and strategic evolution of the groups high-performance computing (HPC) infrastructure supporting cutting-edge AI, computer vision, and multimodal learning research. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large-scale … departmental HPC Infrastructure Architect, with approximately 20% of their time allocated to broader departmental infrastructure activities. Essential Skills and Experience Degree in Computer Science, Engineering, or a related technical discipline Extensive experience managing HPC infrastructure in research or technical environments Experience with GPU servers and high-performance networking technologies ...

rigorous evaluation tasks that measure real-world AI capabilities across diverse machine learning domains. Areas of interest include Language Models, Deep Learning, Reinforcement Learning, Computer Vision, Generative AI, Robotics, ML Systems, Optimization, Learning Theory, Time Series Forecasting, Causal Inference, Trustworthy AI, and AI for Science. Key Responsibilities Design … least one first-author research publication in Machine Learning, Artificial Intelligence, or a closely related field. Master's or PhD in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative discipline (completed or currently in progress). Minimum 1 year of hands-on machine learning research experience. Strong ...

rigorous evaluation tasks that measure real-world AI capabilities across diverse machine learning domains. Areas of interest include Language Models, Deep Learning, Reinforcement Learning, Computer Vision, Generative AI, Robotics, ML Systems, Optimization, Learning Theory, Time Series Forecasting, Causal Inference, Trustworthy AI, and AI for Science. Key Responsibilities Design … least one first-author research publication in Machine Learning, Artificial Intelligence, or a closely related field. Master's or PhD in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative discipline (completed or currently in progress). Minimum 1 year of hands-on machine learning research experience. Strong ...

will be responsible for the software architecture and CI/CD process covering: Control of Robotic and Autonomous payloads and equipment Vehicle automation Computer vision and image processing Sensor integration Digital twin integration Simulation development Algorithm testing and data analysis Safety systems You will have the opportunity … software development and Remote and Autonomous Systems; proactively explore their implementation within the company. Skills and experience A degree in Software Engineering or Computer Science, with a grade of at least a 2:1 or an equivalent qualification and experience. Proven experience of software system level design and implementation ...