4,767 Machine Vision jobs in the United Kingdom

Step into a world where advanced automation meets real-world impact.

This global technology company leads the way in delivering complex, high-performance automation solutions across many industries. You will be part of a fast-growing team that thrives on solving big challenges with smart, scalable technology, where your ideas and input are genuinely valued. With locations around the world, this organisation offers true international collaboration, career progression and exposure to cutting-edge innovation. If you are looking for a role where you can grow quickly, work with exceptional talent and build solutions that matter, this is where your next chapter begins

Controls Engineer - Machine Vision Specialist

£60,000 - £80,000 + Profit Share + Overtime + Life Cover + Income Protection

Dundee - Relocation Assistance available - Sponsorship available

Ref: 24831

Controls Engineer Machine Vision Specialist - The Role:

• Be responsible for the creation and development of machine vision systems including cameras, lighting, optics, and software, based on customers requirements in line with projects schedules
• Optimise the performance of vision systems, including speed, accuracy, and robustness, to meet the demands of high-speed industrial environments
• Deliver machine vision control systems which comply with the appropriate national and international standards
• Support the sales team with technical input for generation quotations for new projects
• Ensure electrical and control systems elements of machines comply with applicable regulations
• Support the project team during commissioning activities to achieve successful FAT and SAT
• Commissioning of the machines at customer's site
• Produce project documentation such as FDS, SDS, FAT test protocols, risk assessments, training material
• Provide technical machine vision support for existing customers

Controls Engineer Machine Vision Specialist - The Person:

• HND/Degree in Electrical, Electronic of Software Engineering
• Ability to interpret electrical schematics and technical drawings
• Experience of designing and integrating machine vision systems, including cameras, lighting, optics, and software, for industrial applications
• Optimising the performance of vision systems, including speed, accuracy, and robustness, to meet the demands of high speed industrial environments
• Diagnosing and resolving issues with vision systems and ensuring their proper functioning and reliability

Located in the Dundee area, relocation assistance can be provided and the role is also open to

experienced individuals based in the UK who require sponsorship.

For further information call Sharon Hill

 AE1

Step into a world where advanced automation meets real-world impact.

This global technology company leads the way in delivering complex, high-performance automation solutions across many industries. You will be part of a fast-growing team that thrives on solving big challenges with smart, scalable technology, where your ideas and input are genuinely valued. With locations around the world, this organisation offers true international collaboration, career progression and exposure to cutting-edge innovation. If you are looking for a role where you can grow quickly, work with exceptional talent and build solutions that matter, this is where your next chapter begins

Controls Engineer - Machine Vision Specialist

£60,000 - £80,000 + Profit Share + Overtime + Life Cover + Income Protection

Dundee - Relocation Assistance available - Sponsorship available

Ref: 24831

Controls Engineer Machine Vision Specialist - The Role:

• Be responsible for the creation and development of machine vision systems including cameras, lighting, optics, and software, based on customers requirements in line with projects schedules
• Optimise the performance of vision systems, including speed, accuracy, and robustness, to meet the demands of high-speed industrial environments
• Deliver machine vision control systems which comply with the appropriate national and international standards
• Support the sales team with technical input for generation quotations for new projects
• Ensure electrical and control systems elements of machines comply with applicable regulations
• Support the project team during commissioning activities to achieve successful FAT and SAT
• Commissioning of the machines at customer's site
• Produce project documentation such as FDS, SDS, FAT test protocols, risk assessments, training material
• Provide technical machine vision support for existing customers

Controls Engineer Machine Vision Specialist - The Person:

• HND/Degree in Electrical, Electronic of Software Engineering
• Ability to interpret electrical schematics and technical drawings
• Experience of designing and integrating machine vision systems, including cameras, lighting, optics, and software, for industrial applications
• Optimising the performance of vision systems, including speed, accuracy, and robustness, to meet the demands of high speed industrial environments
• Diagnosing and resolving issues with vision systems and ensuring their proper functioning and reliability

Located in the Dundee area, relocation assistance can be provided and the role is also open to

experienced individuals based in the UK who require sponsorship.

For further information call Sharon Hill

AE1

Step into a world where advanced automation meets real-world impact.

This global technology company leads the way in delivering complex, high-performance automation solutions across many industries. You will be part of a fast-growing team that thrives on solving big challenges with smart, scalable technology, where your ideas and input are genuinely valued. With locations around the world, this organisation offers true international collaboration, career progression and exposure to cutting-edge innovation. If you are looking for a role where you can grow quickly, work with exceptional talent and build solutions that matter, this is where your next chapter begins

Controls Engineer - Machine Vision Specialist

£60,000 - £80,000 + Profit Share + Overtime + Life Cover + Income Protection

Dundee - Relocation Assistance available - Sponsorship available

Ref: 24831

Controls Engineer Machine Vision Specialist - The Role:

• Be responsible for the creation and development of machine vision systems including cameras, lighting, optics, and software, based on customers requirements in line with projects schedules
• Optimise the performance of vision systems, including speed, accuracy, and robustness, to meet the demands of high-speed industrial environments
• Deliver machine vision control systems which comply with the appropriate national and international standards
• Support the sales team with technical input for generation quotations for new projects
• Ensure electrical and control systems elements of machines comply with applicable regulations
• Support the project team during commissioning activities to achieve successful FAT and SAT
• Commissioning of the machines at customer's site
• Produce project documentation such as FDS, SDS, FAT test protocols, risk assessments, training material
• Provide technical machine vision support for existing customers

Controls Engineer Machine Vision Specialist - The Person:

• HND/Degree in Electrical, Electronic of Software Engineering
• Ability to interpret electrical schematics and technical drawings
• Experience of designing and integrating machine vision systems, including cameras, lighting, optics, and software, for industrial applications
• Optimising the performance of vision systems, including speed, accuracy, and robustness, to meet the demands of high speed industrial environments
• Diagnosing and resolving issues with vision systems and ensuring their proper functioning and reliability

Located in the Dundee area, relocation assistance can be provided and the role is also open to

experienced individuals based in the UK who require sponsorship.

For further information call Sharon Hill

AE1

• Develop and implement machine learning algorithms for computer vision tasks, including image classification, object detection, segmentation, and tracking.
• Build, train, and evaluate deep learning models using frameworks such as TensorFlow or PyTorch.
• Preprocess and augment large image and video datasets for model training.
• Optimise model performance for inference speed and accuracy on various hardware.
• Collaborate with software engineers to integrate ML models into production systems.
• Conduct research into state-of-the-art computer vision techniques and propose innovative solutions.
• Stay up-to-date with the latest advancements in AI, machine learning, and computer vision.
• Document research, experiments, and model development processes thoroughly.
• Work closely with product teams to understand requirements and translate them into technical solutions.
• Participate in code reviews and contribute to the team's best practices.
• Troubleshoot and debug ML pipelines and models.
• Experiment with different model architectures and hyperparameter tuning.
• Contribute to the development of MLOps pipelines for deployment and monitoring.
• Evaluate and select appropriate tools and technologies for ML projects.
• Present findings and project updates to technical and non-technical stakeholders.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, AI, or a related quantitative field.
• 2+ years of professional experience in machine learning or computer vision.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, OpenCV, Scikit-learn).
• Strong understanding of deep learning architectures (CNNs, RNNs, Transformers).
• Experience with image and video processing techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML workloads.
• Solid grasp of data structures, algorithms, and software engineering principles.
• Excellent analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Experience with MLOps practices is a plus.
• Ability to work on complex projects with minimal supervision.
• A keen interest in continuous learning and staying current in the field.
• Experience with data augmentation techniques.
• Understanding of model deployment strategies.

• Design, implement, and optimize machine learning models for computer vision tasks.
• Develop robust data pipelines for image and video data processing and augmentation.
• Train, evaluate, and fine-tune deep learning models using frameworks like TensorFlow or PyTorch.
• Deploy machine learning models into production environments, ensuring scalability and performance.
• Collaborate with cross-functional teams to define project requirements and deliver solutions.
• Stay current with the latest research and advancements in computer vision and machine learning.
• Conduct rigorous testing and validation of ML models to ensure accuracy and reliability.
• Contribute to the development of internal ML platforms and tools.
• Document code, experiments, and model performance thoroughly.
• Participate in code reviews and knowledge-sharing sessions.

• Master's degree or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
• Proven experience in developing and deploying computer vision models.
• Strong proficiency in Python and relevant ML libraries (e.g., OpenCV, scikit-learn).
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of computer vision algorithms and techniques.
• Experience with data preprocessing, augmentation, and feature engineering for image data.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Excellent problem-solving skills and the ability to work effectively in a team.
• Strong communication skills to articulate complex technical concepts.
• Ability to commute to Reading, Berkshire, UK for hybrid working arrangements.

• Design, develop, and deploy machine learning models for computer vision tasks such as image classification, object detection, segmentation, and tracking.
• Implement and fine-tune deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
• Preprocess and augment large-scale image and video datasets.
• Conduct rigorous experimentation and evaluation of model performance, identifying areas for improvement.
• Collaborate closely with AI researchers, software engineers, and product managers to integrate ML solutions into products and platforms.
• Stay current with the latest research and advancements in computer vision and deep learning.
• Develop efficient and scalable ML pipelines for training and inference.
• Write clean, well-documented, and maintainable code.
• Contribute to the overall AI strategy and roadmap.
• Present findings and insights to technical and non-technical stakeholders.

• Master's or PhD in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field.
• Proven experience in developing and deploying machine learning models, with a strong focus on computer vision.
• Proficiency in Python and core ML libraries (e.g., TensorFlow, PyTorch, OpenCV).
• Solid understanding of deep learning concepts and architectures (CNNs, RNNs, Transformers).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Ability to work independently and collaboratively in a fully remote, fast-paced environment.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills.
• Experience with cloud platforms (AWS, Azure, GCP) and ML deployment strategies is a plus.
• Publications in top-tier AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS) are highly regarded.

• Develop, train, and deploy machine learning models for computer vision tasks such as image recognition, object detection, and segmentation.
• Implement and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
• Process and manage large datasets of images and videos.
• Conduct thorough research into new algorithms and techniques in computer vision and ML.
• Collaborate with software engineers to integrate ML models into production systems.
• Evaluate model performance and identify areas for improvement.
• Write clean, efficient, and well-documented code.
• Stay up-to-date with the latest advancements in the field of AI and computer vision.
• Contribute to the overall AI strategy and roadmap of the company.

• Master's or PhD in Computer Science, Electrical Engineering, or a related quantitative field.
• Demonstrable experience in developing and deploying computer vision models.
• Proficiency in Python and common ML libraries (e.g., OpenCV, Scikit-learn).
• Strong understanding of deep learning principles and frameworks (TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Strong communication skills for technical discussions and presentations.

• Design, develop, and implement machine learning models for computer vision tasks, including image recognition, object detection, segmentation, and tracking.
• Conduct research and experimentation to explore novel algorithms and techniques in deep learning for computer vision.
• Process, clean, and annotate large datasets to train and evaluate machine learning models.
• Collaborate with cross-functional teams to integrate ML models into production systems and applications.
• Optimize model performance for accuracy, efficiency, and scalability.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision research.
• Write high-quality, well-documented, and maintainable code in Python.
• Contribute to the development of internal ML platforms and tools.
• Present research findings and project progress to internal teams and external stakeholders.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience (3+ years) in developing and deploying machine learning models, with a strong focus on computer vision.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Expertise in Python programming and associated scientific libraries (e.g., NumPy, SciPy, Pandas).
• Solid understanding of computer vision concepts, algorithms, and libraries (e.g., OpenCV).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Familiarity with large-scale data processing and distributed computing.
• Strong problem-solving skills and the ability to tackle complex technical challenges.
• Excellent communication and collaboration skills, especially in a remote setting.
• A portfolio of relevant projects or publications is highly desirable.