76 to 100 of 204 Computer Vision Jobs in the UK

and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn, this is the perfect opportunity to kickstart your career. … re looking for graduates with strong technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of … science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker or MLflow What You’ll Gain Hands-on Experience : Work on real ML systems and contribute to production-grade solutions Mentorship More ❯

and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn, this is the perfect opportunity to kickstart your career. … re looking for graduates with strong technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of … science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker or MLflow What You’ll Gain Hands-on Experience : Work on real ML systems and contribute to production-grade solutions Mentorship More ❯

and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn, this is the perfect opportunity to kickstart your career. … re looking for graduates with strong technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of … science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker or MLflow What You’ll Gain Hands-on Experience : Work on real ML systems and contribute to production-grade solutions Mentorship More ❯

our customers imagine, design, and make a better world.We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.This role will report to a Research Manager in the AI Lab. Responsibilities Develop new … practices. Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and More ❯

software engineering. Proven expertise in developing autonomous robotic solutions and working with 3D geometry. Strong software engineering skills and a practical, problem-solving mindset. An interest in machine learning, computer vision or computer graphics. Comfortable working hands-on with hardware in a lab environment. If you're passionate about automation and excited by the opportunity to contribute More ❯

in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy. What we're looking for: Background in Computer Science, Computer Vision, or Audio ML Experience working in deep learning teams and production environments Strong Python skills and a passion for clean, maintainable code Hands-on More ❯

rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient More ❯

rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient More ❯

rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient More ❯

rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient More ❯

rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient More ❯

ensure results can be leveraged back into the product. Embody Microsoft culture and values. Qualifications Required Currently enrolled in a PhD program (or published candidate in MSc program) in Computer Science, Electrical or Computer Engineering, Statistics, or a related field. Practical experience in training, fine-tuning, transformer models or LLMs e.g., using text, audio and/or images. … Practical Python coding experience leveraging PyTorch or similar framework Excellent analytical, coding, communication, and collaborative skills. Preferred Field of research and publications directly related to multimodal AI, including e.g., computer vision and audio modelling – with an emphasis on live/real-time applications. Experience in model quantization, pruning or distillation. Experience working in the domain of live speech More ❯

shifting priorities, and ambiguity don't throw you off Learn obsessively and share openly - you level up fast and help others do the same Requirements Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field Strong proficiency in Python is a must 2 - 4 years of experience in machine learning or backend software development Experience … ML platforms Strong analytical, problem-solving, and communication skills Must be based in the UK and open to remote collaboration across time zones Nice to Have Experience with NLP, computer vision, or recommendation systems Familiarity with cloud services (e.g., AWS, GCP, Azure) Exposure to Docker, Git, or CI/CD tools Background working in a high-growth startup More ❯

platform, its APIs, and its underlying architecture. Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus. 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or … custom scenarios to prove a point. Highly Desired: Direct experience with our specific AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with More ❯

platform, its APIs, and its underlying architecture. Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus. 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or … custom scenarios to prove a point. Highly Desired: Direct experience with our specific AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with More ❯

platform, its APIs, and its underlying architecture. Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus. 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or … custom scenarios to prove a point. Highly Desired: Direct experience with our specific AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with More ❯

platform, its APIs, and its underlying architecture. Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus. 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or … custom scenarios to prove a point. Highly Desired: Direct experience with our specific AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with More ❯

platform, its APIs, and its underlying architecture. Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus. 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or … custom scenarios to prove a point. Highly Desired: Direct experience with our specific AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with More ❯

of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering More ❯

understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering More ❯

understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering More ❯

as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Typical More ❯

and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems … and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a desire to learn Organised and self-motivated Desired More ❯

and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems … and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a desire to learn Organised and self-motivated Desired More ❯