26 to 50 of 108 Computer Vision Jobs in the UK

office . What? youll do: Youll be the technical lead for a critical ML domain (e.g.,? live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolutionnot just single modelswhile mentoring engineers … data scientists and raising the bar across teams.? Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.? Generate ...

advanced vehicle automation and robotic systems. Establish robust continuous integration and continuous deployment processes for safety-critical software components. Lead architectural design for computer vision, sensor integration, digital twin technology and real-time simulations. Collaborate closely with cross-functional engineering teams to embed software systems seamlessly into physical … hardware products. Skills and background A degree in software engineering, computer science or an equivalent technical qualification. Essential technical proficiency using Linux alongside real-time software development in C, C++ or Python. Some understanding of electronics with the ability to read electrical schematics is a big plus Prior experience ...

/CD process that the engineering team builds within. You will own the framework that ensures software developed across robotics payloads, vehicle automation, computer vision, sensor integration, digital twins and simulation is scalable, maintainable, compliant and defensible to safety-critical standards. Critically, this is an R&D environment. … testing, verification and validation processes, and building the body of evidence required to satisfy defence safety-critical standards. Integrating software architecture across control systems, computer vision, sensor fusion, simulation and digital twin platforms. Supporting final system integration, commissioning and real-world field trials with global military end users. ...

with a specialist technology business that designs and builds advanced imaging systems used across the UK and internationally. Their products sit across embedded software, computer vision, AI and electronics, and they need an experienced C++ engineer to help shape what's next. The engineering team is small ...

will have end-to-end accountability for strategy, product development, commercial growth, platform evolution and profitability. Key Priorities – First 24 Months Define the Vision and Roadmap Establish a clear 3-year strategy and operating roadmap for the Field Intelligence business. Build a scalable commercial and operating model aligned … global growth ambitions. Establish baseline commercial, operational and financial performance measures. Accelerate AI and Product Innovation Deploy AI, Machine Learning and Computer Vision use cases that deliver measurable client and business value. Transition intelligence capabilities from descriptive reporting to predictive and prescriptive decision-support tools. Create a sustainable ...

future product development and technology roadmaps Utilise modern software engineering tools including AI-assisted development environments Required Experience: Junior Software Engineer Degree qualified in Computer Science, Software Engineering or similar 1-2 years of commercial experience developing software in C and C++ Experience working on backend, systems-level … from multiple disciplines Experience using source control tools such as Git Desirable Experience: Experience in some of the following areas would be advantageous: Machine Vision, Computer Vision, OpenCV, Image Processing, Imaging Systems Scientific Instrumentation, Robotics, Autonomous Systems, Sensor Systems Embedded Software, High-Speed Data Acquisition. Distributed Systems ...

future product development and technology roadmaps Utilise modern software engineering tools including AI-assisted development environments Required Experience: Junior Software Engineer Degree qualified in Computer Science, Software Engineering or similar 1-2 years of commercial experience developing software in C and C++ Experience working on backend, systems-level … from multiple disciplines Experience using source control tools such as Git Desirable Experience: Experience in some of the following areas would be advantageous: Machine Vision, Computer Vision, OpenCV, Image Processing, Imaging Systems Scientific Instrumentation, Robotics, Autonomous Systems, Sensor Systems Embedded Software, High-Speed Data Acquisition. Distributed Systems ...

seeking a Senior Software Engineer to join the Specs team in London. You will design, build, and support software systems and tools that enable computer vision development for Spectacles. You will develop production‐quality C++ and supporting infrastructure for CV pipelines and internal developer workflows. The role focuses ...

robots and edge computing. This is an exciting opportunity for someone who enjoys solving real-world engineering challenges and wants to work across robotics, computer vision, AI and autonomous navigation. You will be involved in everything from developing new behaviours and integrating sensors through to deploying software onto … Unitree SDK or other quadruped robotic platforms. Experience deploying software to NVIDIA Jetson or ARM edge devices. Docker experience. Experience developing Behaviour Trees. Computer Vision or Edge AI experience. TensorRT optimisation. Experience working with RTSP or WebRTC video streaming. Knowledge of autonomous navigation or robotic perception. This ...

grounding in statistics and core ML concepts Strong communication skills, able to explain technical concepts to non-technical stakeholders Desirable Experience with NLP or computer vision specialisms Exposure to containerisation/orchestration (Docker, Kubernetes) Relevant academic background (MSc/PhD in a quantitative field) or equivalent commercial experience ...

Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent neural networks, object detection Robotics: reinforcement learning, motion planning, control systems Data ethics: bias in machine learning, fairness ...

Learning methodologies, Data Science, and accompanying algorithms. Good experience integrating LLMs as hybrid AI‐ML systems. Academic background with at least a BSc in Computer Science. Experience in modern Computer Vision, having built image detection systems end‐to‐end. Strong understanding of ML deployment and management ...

senior stakeholders and at conferences 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. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python … leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability ...

advance the state‐of‐the‐art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. … optional opportunity for management responsibility dependent on the candidate’s experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism ...

spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open … Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving ...

methodologies, Data Science and accompanying algorithms. Additionally, good experience integrating LLMs as hybrid AI‐ML systems. Academic background with at least a BSc in Computer Science. Desirable Criteria Experience in modern Computer Vision, having built image detection systems end‐to‐end. Strong understanding of ML deployment ...

with MLOps platforms (e.g., MLflow, SageMaker) or agentic AI frameworks. Familiarity with secure development practices or regulated/high-compliance environments. Background in NLP, computer vision, or data engineering platforms. #J-18808-Ljbffr ...

with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps ...

initiatives. Minimum Qualifications Strong background in machine learning. Strong programming skills in Python or C++. Bachelor’s degree in a technical field such as computer science, mathematics, statistics or equivalent engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking … other related deep learning or computer vision applications. Preferred Qualifications Knowledge of computer graphics foundations. Experience with visual Gen AI models for image and video generation and editing. Experience with evaluating the visual quality of image and video models. Track record of successful projects in the GenAI ...

cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. … Engineering excellence – writing high‐quality, maintainable code and an open‐source or research‐publishing track record. Master’s degree or PhD in Computer Science, Machine Learning, Statistics or related field, or equivalent industry experience. Ability to work in agile, user‐centred environments with an entrepreneurial mindset and ability ...

cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. … Engineering excellence – writing high‐quality, maintainable code and an open‐source or research‐publishing track record. Master’s degree or PhD in Computer Science, Machine Learning, Statistics or related field, or equivalent industry experience. Ability to work in agile, user‐centred environments with an entrepreneurial mindset and ability ...

cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. … Engineering excellence – writing high‐quality, maintainable code and an open‐source or research‐publishing track record. Master’s degree or PhD in Computer Science, Machine Learning, Statistics or related field, or equivalent industry experience. Ability to work in agile, user‐centred environments with an entrepreneurial mindset and ability ...

working with messy, incomplete requirements and driving clarity through action English fluency and comfort working in global, cross-functional teams Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data … Prior experience acting as an AI champion or innovator within a larger organisation Consulting or client-facing delivery experience Bachelor or Master degree in Computer Science, Data Science, Engineering, or related field Key Competencies Solution oriented mentality - sees a problem, starts building, ships, improves Experimental mindset - runs fast tests ...

systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best … problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit ...

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 ...