1 to 25 of 119 Computer Vision Jobs in the Thames Valley

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement More ❯

and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI … market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for analysis · 4+ years of experience in applying ML … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical More ❯

and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at scale. More ❯

functional teams to understand data needs Utilise data visualisation tools to communicate findings effectively Work with SQL and cloud platforms (Azure) for data management and deployment Apply expertise in computer vision, large language models (LLMs), and statistical analysis Experience: Strong proficiency in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment … Experience with computer vision and LLM applications Skilled in statistical analysis and data visualisation techniques Hands-on experience with SQL and Azure cloud platform Knowledge of MLOps practices for scalable and reliable model deployment Excellent analytical and communication skills Multi- year Project - Flexible Start Date - Competitive Rates - London based (x3 days in office) - FTE or Contract Synechron's More ❯

Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python More ❯

role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are changing how we work and live. Whether you're a … do. Tailored Compensation: Competitive salary, early-career benefits, and fast-track development opportunities in the AI space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries More ❯

make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional More ❯

standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join More ❯

My client is currently looking for a Senior Computer Vision to join there exciting projects. This is an exciting company who is going through a real growth period and you will be working on leading edge projects. Key Responsibilities Design and implement advanced computer vision algorithms using multi-sensor inputs. Develop and deploy AI models on … pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception modules into complete systems. Track the latest developments in computer vision, sensor fusion and generative AI, and apply relevant techniques to your work. Deliver solutions suitable for mission-critical defence applications with consideration for performance and security. Required … Qualifications & Experience At least 5 years of industry experience in AI/computer vision, including delivery into operational systems. 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 More ❯

My client is currently looking for a Senior Computer Vision to join there exciting projects. This is an exciting company who is going through a real growth period and you will be working on leading edge projects. Key Responsibilities Design and implement advanced computer vision algorithms using multi-sensor inputs. Develop and deploy AI models on … pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception modules into complete systems. Track the latest developments in computer vision, sensor fusion and generative AI, and apply relevant techniques to your work. Deliver solutions suitable for mission-critical defence applications with consideration for performance and security. Required … Qualifications & Experience At least 5 years of industry experience in AI/computer vision, including delivery into operational systems. 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 More ❯

distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Senior Data Scientist, you will work closely with the technical and research teams … composed of dozens of models Developing novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems are operating. Required skills BS in Computer Science, Data Science, Machine Learning, or related technical fields At least 5 years of hands-on experience (may include graduate studies in computer science or related technical fields … stakeholders (internal or external) A drive to solve hard problems at scale Experience in technical writing, project documentation, and/or technical publications Preferred Skills MS/PhD in Computer Science, Data Science, Machine Learning, or related technical fields Familiarity with Learning to Rank models, recommender systems, especially deep learning-based recommender systems, computer vision models, Generative More ❯

for large-scale model training Create experimentation frameworks for large-scale evaluation and testing of robot learning approaches Required Skills Advanced degree (PhD, Master's, or equivalent experince) in Computer Science, Robotics, Machine Learning, or related field Strong research background with publications at venues like CoRL, ICRA, RSS, ICML, ICLR, NeurIPS, or similar Deep ML expertise in PyTorch or … like AWS, GCP, or Azure and containerisation technologies Preferred Skills Multi-robot systems experience and cross-embodiment learning approaches MLOps expertise including experiment tracking, model versioning, and deployment pipelines Computer vision and sensor fusion for robotics applications Real-world deployment experience with robot data collection and production model serving Robotics middleware experience with ROS/ROS2 or similar More ❯

on AI technologies and integration processes Create reports and presentations to communicate technical findings to both technical and non-technical stakeholders About you: Educational background: Master’s degree in computer science, Engineering, Data Science, Artificial Intelligence, or a related field Experience: One to two years’ experience in business analysis, or a related role Familiarity with AI technologies such as … machine learning (ML), natural language processing (NLP), and computer vision Key skills: Able to apply AI in practice – familiar with day-to-day adoption and use of AI tools in business Knowledge of healthcare/pharma and strategy/management consulting Ideally, you will have these technical skills (not essential): Ability to analyse and interpret data and generate More ❯

Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as MongoDB or … environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance More ❯

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 … 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 … 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 More ❯

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 … 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 … 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 More ❯

Postdoctoral Senior Research Associate – AI, Biostatistics & Eye Biometrics Join our dynamic organization and lead the way in AI vision research. Together, we will revolutionize the field and create groundbreaking solutions that have a tangible impact on industries and society. Profile Summary Solvemed, in collaboration with the University of Essex, is seeking a Postdoctoral Senior Research Associate (Senior Research Officer … kind, designed to detect fatigue and cognitive strain across diverse sectors of UK society, particularly in high-risk occupations. This three-year initiative brings together cutting-edge research in computer vision, deep learning, and biometric analytics to enhance fatigue detection and its real-world applications. The successful candidate will work closely with Solvemed’s multidisciplinary R&D team … to develop AI-driven solutions for neuromonitoring. The role will leverage computer vision, machine learning, and statistical analysis to extract robust biometric markers of fatigue and cognitive strain from large-scale video datasets. Responsibilities Development and Implementation of Advanced Analytics Design, implement, and document AI algorithms for deep learning, computer vision, and signal processing in the More ❯

Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on-site More ❯

product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including More ❯

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 … 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 … 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 More ❯

individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal … authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities … include: Developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem. Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets. Leading the full lifecycle of model development, from research and training to validation and performance benchmarking. Mastering model export to various formats such More ❯