1,555 Image Analysis jobs in the United Kingdom

• 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.

• Develop, train, and evaluate machine learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition).
• Implement and optimize deep learning architectures using frameworks such as TensorFlow, PyTorch, or Keras.
• Process and analyze large datasets of images and videos for model training and validation.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Conduct research on state-of-the-art computer vision techniques and apply them to practical problems.
• Design and implement efficient data pipelines for image and video processing.
• Optimize model performance for deployment on various hardware platforms.
• Stay current with the latest advancements in AI, machine learning, and computer vision.
• Contribute to technical documentation, presentations, and knowledge sharing within the team.
• Ensure the ethical and responsible development of AI technologies.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, 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 deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of image processing techniques and computer vision algorithms.
• Experience with data augmentation, model evaluation metrics, and hyperparameter tuning.
• Familiarity with cloud platforms (AWS, Azure, GCP) and ML deployment strategies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong programming skills and experience with software development best practices.
• Effective communication and collaboration skills, with the ability to work in a hybrid team environment.
• Experience with C++ or other relevant programming languages is a plus.

• 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.

Senior Machine Learning Engineer
3 Month Contract Initially with most probable extension
Location- London- Working Remotely

Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract with a high probability of extension.

The Role

We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment.

• Production Experience : Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies.
• Technical Skills : Strong proficiency in languages like Java, Scala, or Python .
• Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow .
• Experience : Previous experience working on distributed systems is a plus.

This is an urgent vacancy with deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Senior Machine Learning Engineer
3 Month Contract Initially with most probable extension
Location- London- Working Remotely

Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract with a high probability of extension.

The Role

We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment.

• Production Experience : Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies.
• Technical Skills : Strong proficiency in languages like Java, Scala, or Python .
• Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow .
• Experience : Previous experience working on distributed systems is a plus.

This is an urgent vacancy with deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk

Randstad Technologies is acting as an Employment Business in relation to this vacancy.