51 to 75 of 84 Computer Vision Jobs in the UK

Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented Generation) Graph-based approaches Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem-solving capability Ability to work effectively ...

description Robotic Vision Application Software Engineer About the Role We are seeking a driven Software Engineer to help pioneer new developments in robotic vision and controls technology- a strong proficiency in C++17 development is essential. In this position, you'll focus on architecting, building, and validating PC-based … software solutions for various robotic vision applications, working across a spectrum from experimental prototypes to refined production ready product releases. This is not a work from home role and requires office based attendance. Responsibilities Work closely with a small multi disciplinary team as the software lead to outline technical ...

particularly in Python Experience with machine learning and AI, including LLMs or related technologies Knowledge of areas such as RAG architectures, agent-based AI, computer vision, or audio processing Experience working with cloud platforms (AWS or Azure preferred) Familiarity with Docker, Linux/Unix environments, Git, and testing ...

particularly in Python Experience with machine learning and AI, including LLMs or related technologies Knowledge of areas such as RAG architectures, agent-based AI, computer vision, or audio processing Experience working with cloud platforms (AWS or Azure preferred) Familiarity with Docker, Linux/Unix environments, Git, and testing ...

data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness ...

researchers will be central to your impact within the organisation. Your background: PhD in a relevant technical discipline (e.g. AI, ML, data science, computer science, engineering, mathematics, or physics) Significant post‐doctoral experience (typically ~10+ years) applying AI/ML in industry or advanced research environments Proven experience leading … present complex research clearly to varied audiences Desired: Experience in one or more of the following technical domains: AI/ML for imagery and computer vision , including remote sensing Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph‐based neural networks AI applied ...

engineering and deployment Tech Focus Python, Docker, Linux, Git AWS or Azure CI/CD and MLOps pipelines Exposure to RAG, computer vision, or multimodal AI Why Apply? Work on next-generation AI use cases Strong focus on innovation and career progression Opportunity to lead and shape technical ...

scoping through deployment through iteration Technical experience: Solid Python programming skills, production standard Hands-on experience with modern AI stacks: LLMs, NLP, computer vision or similar Familiarity with model deployment: APIs, cloud platforms (AWS, GCP, Azure), containerisation Experience integrating AI into real-world systems, not just building models ...

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. ...

data modelling, transformation, and data quality considerations Extra Kudos If You Have: Experience working with ML data pipelines or supporting ML systems Familiarity with computer vision, robotics, or autonomous systems Experience working with multimodal sensor data, such as images, LiDAR, or radar Exposure to labelling workflows, autolabelling … culture that empowers our Oxbots to bring their whole, authentic selves to work every day. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. ...

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 ...

interpret complex data signals and translate them into actionable decisions Demonstrable experience shipping ML models into production — ideally in demand forecasting, optimisation, or computer vision contexts Solid Python and SQL skills, with hands-on experience using frameworks such as Airflow, PyTorch, or Spark A good handle on MLOps ...

class identity-focused products. Representative work: Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models. Train and benchmark large-scale vision-language models for document extraction. Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/… Experiment with multimodal models to detect fraud. You may be a g ood fit if y ou: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding ...

outcomes in lung and heart disease. This health tech innovator is seeking a Senior Machine Learning Engineer to build, optimise, and deploy production-grade computer vision models on large 3D medical imaging datasets, with a strong focus on scalable training and high-performance inference. In this role ...

some of the SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some ...

scalable and efficient Digital Workforce. In Sprint Reply we combine anexecution orientedengineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues. www.sprint.reply.com Role Overview … technical authority and strategic link between clients, delivery teams, and leadership. This hybrid role blends principal-level technical expertise with the broad vision of a solution architect, guiding engagements from initial discovery through to successful delivery. You will define architectural standards, establish reference patterns, and create reusable frameworks ...

Daily in-office training from Director level billers High-performance culture with visible top billers The role: Working a vertical market within AI (NLP, Computer Vision or GenAI) Building your own client base within VC-backed tech firms Managing full 360 recruitment process Closing high-value permanent deals ...

Daily in-office training from Director level billers High-performance culture with visible top billers The role: Working a vertical market within AI (NLP, Computer Vision or GenAI) Building your own client base within VC-backed tech firms Managing full 360 recruitment process Closing high-value permanent deals ...

Daily in-office training from Director level billers High-performance culture with visible top billers The role: Working a vertical market within AI (NLP, Computer Vision or GenAI) Building your own client base within VC-backed tech firms Managing full 360 recruitment process Closing high-value permanent deals ...

Daily in-office training from Director level billers High-performance culture with visible top billers The role: Working a vertical market within AI (NLP, Computer Vision or GenAI) Building your own client base within VC-backed tech firms Managing full 360 recruitment process Closing high-value permanent deals ...

opportunity to have a varied workload along with the opportunity for speedy job progression. Key Responsibilities Hardware/Software integration Motion control and sequencing Computer vision Rapid prototyping You will have a well-developed common sense and creative vision, to be capable of both working … customers being based overseas. Experience and Qualifications To fulfil this practical and 'hands on' role, you should be qualified to degree level in Computer Science or Software Engineering or related discipline. Experience with C/C++ Experience with .NET Experience with Python A Culture of Collaboration & Personal Growth ...

real-time tracking solutions Write clean, maintainable, and well-tested code following best practices 🧠 What We’re Looking For Degree or Master’s in Computer Science or related field 2+ years of experience in software development Strong foundation in software engineering principles Team player with a proactive mindset … Have Web development: ASP.NET, Blazor Desktop/UI frameworks: Avalonia, WPF Databases & ORM: Entity Framework Containerisation & DevOps: Docker, Kubernetes Linux system administration Exposure to Computer Vision or AI-based sensing 📍Why Join Them? Work on cutting-edge IoT and industrial safety solutions Be part of a fast-growing ...

encompassing: + Low Code Application Platforms (LCAP) + Digital Process Automation (DPA) & Workflow Orchestration + Conversational Interfaces (chatbots, virtual assistants, copilots) + Cognitive Capture & Computer Vision + Intelligent Decisions & Automated Machine Learning + Generative AI & Large Language Models (LLMs) + Agentic AI (multi-agent orchestration, autonomous workflows, agent ...

marketing. What You'll Do Collaborate with creative, strategy, and tech teams to prototype and launch AI-powered creative solutions. Leverage tools like GPT, computer vision, generative image and video models, and other emerging technologies. Build and iterate on creative applications using AI (e.g., automated content creation, intelligent ...

timeframes and board-level expectations. Key Objectives (First 3-6 Months) 1) Establish the Data & AI operating model Create a clear enterprise data vision and operating model (central vs federated), including ownership, stewardship, governance forums, and delivery cadence. Define the “single source of truth” for critical domains (e.g., product … levels, inventory reduction, waste reduction) Yield/throughput optimisation (process parameters, bottleneck management) Predictive maintenance (downtime reduction, asset reliability) Quality & food safety analytics/computer vision (defect detection, compliance) Procurement & commodity insights (pricing, hedging signals, supplier risk) Commercial analytics (pricing, promo, mix optimisation, trade spend) Traceability & compliance enablement ...