151 to 175 of 375 Computer Vision Jobs in the UK

employ agile development practices, and collaborate in a globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with a focus … critical applications Hands-on experience in the following: Analyze huge (e.g. peta byte) scale database; Develop perception-related technologies, such as camera image processing, computer vision, machine learning, or deep learning; Design data annotation rules for machine learning Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub ...

largest organisations in the world. What skills do we want you to have? PhD in a relevant field such as Machine Learning, Computer Science, Artificial Intelligence, Data Science, Mathematics, or a closely related discipline, or equivalent depth of industry experience delivering complex, production‐grade AI systems. Proven experience leading … evaluation frameworks such as Mosaic AI Agent Evaluation, Garak, or bespoke evaluation harnesses. Strong background in advanced machine learning, including deep learning with PyTorch, computer vision methods, NLP pipelines, or graph‐based data processing. Knowledge of cloud infrastructure and modern deployment practices, including Terraform or Bicep, Kubernetes, serverless ...

innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems … frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production‐scale AI systems with focus on performance, reliability, and maintainability. Expertise in software ...

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skillsPreferred 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 ...

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 ...

experience (AWS/GCP/Azure). Strong SQL; experience with visualisation tools (Tableau/Power BI or Python viz). Specialisms: NLP/computer vision/time series. NoSQL familiarity. Quant/trading analytics engineering practices Time-series forecasting (prices, demand, blend outcomes, scheduling effects) Optimisation/ ...

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 ...

business objectives ✓ Implement MLOps best practices for model versioning, monitoring and retraining ✓ Collaborate with software engineers to integrate AI into applications Requirements ✓ Degree in Computer Science, Data Science, Mathematics or equivalent experience ✓ Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) ✓ Experience building and deploying production … Strong problem-solving skills and attention to detail Experience with LLMs and generative AI (OpenAI, Hugging Face, LangChain) Knowledge of NLP or computer vision Experience with MLflow, Kubeflow or similar MLOps tools What We Offer ✓ Competitive salary based on experience ✓ Diverse AI projects across multiple industries ✓ Collaborative ...

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 ...

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 ...

data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. ...

work effectively in a diverse environment, across colleagues and partners with different functions, technical backgrounds and levels of seniority. Desirable experience: Exposure to computer vision, multimodal AI, vision‐language models, embeddings, captioning, retrieval, data curation or related Visual AI workflows. Experience with benchmarking, experimental design, performance analysis ...

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 ...

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 Ready to apply? If this role excites you and matches your experience, we would love to hear from you. Please submit your application and a short note telling ...

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 ...

English working in global, cross‐functional teams. Preferred: Experience applying AI to customer, marketing, commerce, sales or service challenges. Experience with natural language processing, computer vision or multimodal AI models. Knowledge of Responsible AI, guardrails and safety practices in production environments. Familiarity with Snowflake, Databricks or similar data … platforms. Consulting or client‐facing delivery experience. A bachelor’s or master’s degree in computer science, data science, engineering or a related field. #J-18808-Ljbffr ...

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 ...

solution delivery. Proven experience delivering scalable AI/ML solutions in client-facing or collaborative roles. Solid expertise in machine learning, generative AI, NLP, computer vision, data platforms, and big data technologies. Experience with cloud-native development, microservices, container orchestration (Kubernetes, Docker).Proficiency with cloud platforms: Azure ...

solution delivery. Proven experience delivering scalable AI/ML solutions in client-facing or collaborative roles. Solid expertise in machine learning, generative AI, NLP, computer vision, data platforms, and big data technologies. Experience with cloud-native development, microservices, container orchestration (Kubernetes, Docker). Proficiency with cloud platforms: Azure ...

experimentation standards, and technical direction. QualificationsMust-Have Qualifications Proven experience developing and deploying ML models in production settings Master's or PhD in Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn … construction, transportation, HVAC, energy systems, or robotics. Background in optimisation, simulation, scientific machine learning, physics-informed learning, or digital twinsExperience with time-series forecasting, computer vision, sensor data, or other complex engineering datasets. Track record of mentoring or technically leading ML initiatives. Additional InformationOur Hiring Process 25-minute ...

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 ...

technical stakeholders. Mentor and guide junior architects and engineers, fostering a culture of innovation and technical excellence. Qualifications: Master's or Ph.D. in Computer Science, Software Engineering, or a related field, with 10+ years of experience in software architecture (including 5+ years in AI/ML systems). Proven … track record of designing and implementing large‐scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++ ...

devices, and data. Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events – improving quality of data outputs. The result: ORs are optimised like ...

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. ...

other engineers grow Strong product judgment and meticulous attention to visual quality Minimum Qualifications: Strong background in Machine Learning, with experience developing generative models, computer vision systems, or related deep learning applications Strong programming skills in Python or C++, with proficiency in PyTorch or a comparable deep learning … framework Bachelor’s degree in computer science, mathematics, statistics, or a related technical field, or equivalent practical experience At least 5 years of ML experience after a bachelor’s degree, 4 years after a relevant master’s degree, or 1 year after a relevant PhD Demonstrated experience leading complex ...