3,256 Machine Vision jobs in the United Kingdom

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 opportunity is ideal for you

Machine Vision Control Software Engineer

Excellent Salary + Profit Share + Overtime + Life Cover + Income Protection

Dundee - Relocation Assistance available - Sponsorship available

Ref: 24831

The Role:

• Be responsible for the creation and development of machine vision systems including cameras, lighting, optics, and software, based on customers requirements
• 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 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
• Provide technical machine vision support for existing customers

The Person:

• HND/Degree in Electrical, Electronic of Software Engineering
• Ability to interpret electrical schematics and technical drawings
• Experience of developing algorithms and using specialized hardware to process images at very high speeds, enabling real-time analysis and decision-making
• Experience with multiple brands; Cognex Vpro and Insight, Keyence
• Experience of Implementing systems for identifying defects, imperfections, or deviations from specifications in products at high production rates
• Ability to provide a complete vision package for simple inspection to advanced metrology
• Ideally with some experience of utilising AI and machine learning techniques to enhance the performance and accuracy of vision systems, especially in complex or variable scenarios
• Experience of automation and production machinery design, ideally with a hands-on approach.
• Knowledge of British and international standards relative to the design and installation of industrial automation systems.
• Willing and able to travel to customer sites both nationally and internationally
• Experience of conducting assessments and generating technical documents to support compliance with the Machinery Directive and other British and International standards.
• Sound interpersonal skills
• Ability to prioritise work within tight schedules

Engineers who are proactive, with a can-do attitude and a positive and determined work ethic please call or apply on-line.

Located in the Dundee area, relocation assistance available along with sponsorship for people already living in the UK.

Embedded Machine Vision Engineer - Hybrid (Aberdeen)

Salary: 70,000 - 80,000
Location: Aberdeen - Hybrid - 3 days from home a week

KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify anomalies, hazards, and safety risks.

This is a rare opportunity to join a company developing cutting-edge embedded vision and AI technology, with the balance of in-office collaboration and home working. You'll spend two days per week at their Aberdeen site, working closely with the engineering team, and three days per week working remotely.

The ideal candidate will be a strong embedded software engineer who has recently moved into AI and machine learning for vision systems, and is eager to continue working in that space. You'll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems.

Key responsibilities:

• Develop and optimise real-time embedded vision algorithms in C/C++
• Work with near-IR camera sensors to classify visual and behavioural characteristics
• Integrate fixed AI/ML models (e.g. CNNs) into embedded systems
• Ensure deterministic, certifiable software execution under memory and timing constraints
• Evaluate model performance under varied environmental conditions (lighting, motion, etc.)
• Collaborate closely with software, hardware, and certification engineers

Required Skills & Experience:

• Strong embedded software development experience (C/C++, Linux, real-time systems)
• Proven background in embedded machine vision or image pipelines
• Hands-on with IR, CMOS, or similar camera/imaging systems
• Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking)
• Comfortable working in memory- and timing-constrained environments

Preferred Qualifications:

• Degree or MSc in Computer Vision, Embedded Systems, or related field
• Experience developing software for safety-critical systems
• Familiarity with IEC 61508 or similar certification standards

This is a fantastic opportunity for an engineer passionate about embedded AI and real-time vision to work on impactful technology that directly contributes to driver and passenger safety. You'll be joining a small, expert team at the forefront of embedded machine vision, with the flexibility of hybrid working

Embedded Machine Vision Engineer - Hybrid (Aberdeen)

Salary: 70,000 - 80,000
Location: Aberdeen - Hybrid - 3 days from home a week

KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify anomalies, hazards, and safety risks.

This is a rare opportunity to join a company developing cutting-edge embedded vision and AI technology, with the balance of in-office collaboration and home working. You'll spend two days per week at their Aberdeen site, working closely with the engineering team, and three days per week working remotely.

The ideal candidate will be a strong embedded software engineer who has recently moved into AI and machine learning for vision systems, and is eager to continue working in that space. You'll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems.

Key responsibilities:

• Develop and optimise real-time embedded vision algorithms in C/C++
• Work with near-IR camera sensors to classify visual and behavioural characteristics
• Integrate fixed AI/ML models (e.g. CNNs) into embedded systems
• Ensure deterministic, certifiable software execution under memory and timing constraints
• Evaluate model performance under varied environmental conditions (lighting, motion, etc.)
• Collaborate closely with software, hardware, and certification engineers

Required Skills & Experience:

• Strong embedded software development experience (C/C++, Linux, real-time systems)
• Proven background in embedded machine vision or image pipelines
• Hands-on with IR, CMOS, or similar camera/imaging systems
• Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking)
• Comfortable working in memory- and timing-constrained environments

Preferred Qualifications:

• Degree or MSc in Computer Vision, Embedded Systems, or related field
• Experience developing software for safety-critical systems
• Familiarity with IEC 61508 or similar certification standards

This is a fantastic opportunity for an engineer passionate about embedded AI and real-time vision to work on impactful technology that directly contributes to driver and passenger safety. You'll be joining a small, expert team at the forefront of embedded machine vision, with the flexibility of hybrid working

Embedded Machine Vision Engineer - Hybrid (Aberdeen)

Salary: £70,000 - £80,000
Location: Aberdeen - Hybrid - 3 days from home a week

KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify anomalies, hazards, and sa.

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

6 Month Contract - Hybrid Working - Asap Start - Outside of IR-35

Overview

The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing.

Responsibilities

• Develop, train, and optimise computer vision models for real world applications.
• Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation.
• Deploy ML models into production, ensuring scalability, efficiency, and reliability.
• Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions.
• Stay up to date with the latest advancements in deep learning, computer vision, and related technologies.

Key Skills & Experience

• Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
• Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
• Proven track record of building and deploying ML models in production environments.
• Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar).
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of CNNs, object detection, segmentation, and image classification.
• Strong problem-solving skills and ability to work in a hybrid, collaborative environment.

Nice to Have

• Experience with transformer-based vision models (ViT, CLIP, SAM).
• Familiarity with real-time inference and optimisation (ONNX, TensorRT).
• Previous work on video analytics, 3D vision, or multi-modal ML projects.

6 Month Contract - Hybrid Working - Asap Start - Outside of IR-35

Overview

The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing.

Responsibilities

• Develop, train, and optimise computer vision models for real world applications.
• Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation.
• Deploy ML models into production, ensuring scalability, efficiency, and reliability.
• Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions.
• Stay up to date with the latest advancements in deep learning, computer vision, and related technologies.

Key Skills & Experience

• Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
• Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
• Proven track record of building and deploying ML models in production environments.
• Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar).
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of CNNs, object detection, segmentation, and image classification.
• Strong problem-solving skills and ability to work in a hybrid, collaborative environment.

Nice to Have

• Experience with transformer-based vision models (ViT, CLIP, SAM).
• Familiarity with real-time inference and optimisation (ONNX, TensorRT).
• Previous work on video analytics, 3D vision, or multi-modal ML projects.

• Develop, train, and optimize machine learning models for computer vision tasks, including image classification, object detection, segmentation, and tracking.
• Implement and fine-tune deep learning architectures such as CNNs, RNNs, and Transformers.
• Process and augment large image and video datasets for model training.
• Collaborate with software engineers to integrate ML models into production systems and applications.
• Conduct rigorous experimentation and evaluation of model performance, identifying areas for improvement.
• Stay up-to-date with the latest research and advancements in computer vision and deep learning.
• Contribute to the research and development of new AI algorithms and techniques.
• Work with cloud platforms and MLOps tools for model deployment and monitoring.
• Troubleshoot and resolve issues related to model performance and deployment.
• Document models, algorithms, and experimental results thoroughly.
• Communicate technical findings and progress to both technical and non-technical stakeholders.

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field.
• Proven experience in developing and deploying machine learning models, with a specialization in computer vision.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with computer vision libraries like OpenCV, Pillow, or scikit-image.
• Solid understanding of deep learning concepts, convolutional neural networks (CNNs), and other relevant architectures.
• Experience with data augmentation techniques and handling large datasets.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) and containerization (Docker) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work effectively in a fast-paced, research-oriented environment.