73 Computer jobs in London

Location: London - Hybrid

We’re seeking a Staff Computer Vision Engineer to help scale our vision AI product into a high-performing, reliable, production-ready platform. You’ll contribute deep technical expertise, scientific rigor, and a strong product-focused perspective. This position is ideal for someone who thrives on tackling complex challenges, staying deeply engaged in the work, and influencing how a team collaborates and achieves success.

The role:

• Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation.
• Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases.
• Deliver Proven Solutions — Experiment rapidly using PyTorch, validate rigorously, and productionize what works. Contribute to benchmarking and ongoing improvements.
• Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals.
• Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation.

Requirements

• PhD (or equivalent) in Computer Vision, Machine Learning, or related field.
• Proven record deploying large-scale CV models in production.
• Strong Python skills with PyTorch or TensorFlow expertise.
• Deep understanding of modern CV architectures, especially LVMs and Transformers.
• Experience with multimodal data (images, video, text) and MLOps workflows.
• Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences

This is an excellent opportunity for an experienced Staff Computer Vision Engineer to join a leading company that are driven towards success!

For further information on this Staff Computer Vision Engineer position, apply below!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

We are currently recruiting on behalf of a leading start-up business set for significant growth for the role of Lead Computer Vision Engineer . This is a rare opportunity to join an ambitious, fast-scaling company at a pivotal stage.

What you’ll be doing:

• Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance.
• Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines.
• Optimise model architectures and tune hyper parameters to maximise throughput while maintaining computational efficiency.
• Work closely with software engineers, product managers, and platform engineers to deliver seamless computer vision solutions.
• Monitor deployed models by analysing performance metrics, troubleshooting issues, and implementing updates to maintain optimal results.
• Stay up to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation.

Main Skills/ Requirements:

• Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning
• Over 5 years of experience deploying computer vision models in production environments
• Advanced proficiency in Python programming
• Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes
• Solid understanding of computer vision techniques, including image classification, object detection, and segmentation
• Experience with Large Vision Models (LVMs) is highly desirable
• Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation

How you’ll be rewarded:

• Share Options
• Competitive Benefits
• Opportunity to join a leading start-up

This is an excellent opportunity for an experienced Lead Computer Vision Engineer to join a growing company, that are driven towards success!

For further information on this Lead Computer Vision Engineer position, apply below!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more.

Role: Senior Computer Vision Engineer - Robotics

Location: London (onsite)

Package: Negotiable + stock options

What you’ll be doing

• Training policies via representation learning, behaviour cloning & RL from data to deployment.
• Building pipelines that fuse vision, language, audio, proprioception & 3D data.
• Scaling distributed training + optimising models for real-time edge inference.
• Helping shape how intelligent systems learn and act in the real world.

What we’re looking for

• 3+ years developing deep learning systems with shipped models or published research.
• Hands-on with Vision Language Models, LLMs or generative models.
• Strong Python + PyTorch/JAX skills (debugging, profiling, shipping).
• Passion for bridging the gap between simulation and reality.

This is one of the most exciting and technically challenging roles I’ve see with the chance to make a real impact on how AI and autonomy move from research into the real world.

We’re especially keen on candidates with autonomous vehicle/machinery experience who are happy to be on-site in London.

Interested? Apply to be considered.

We are seeking a Senior Computer Vision / Multimodal Engineer to design, train, and deploy advanced vision models for object detection, segmentation, tracking, and behavior analysis within real-world retail and mobility environments. You will play a key role in optimizing real-time performance for edge and cloud systems, developing robust inference pipelines, and pushing the boundaries of multimodal AI.

This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts.

Key Responsibilities

• Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding.
• Optimize inference pipelines for real-time performance on edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure .
• Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production.
• Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments.
• Research and integrate state-of-the-art Vision Transformers (ViTs), Large Vision Models (LVMs), and Multimodal AI into production workflows.
• Work with CCTV and multi-camera systems for tracking, localization, and behavior analytics.
• Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance.

Requirements

• 5–7 years of experience in Computer Vision and Deep Learning with deployed production models.
• Strong proficiency in Python and PyTorch ; hands-on experience with OpenCV, TensorRT, ONNX, or Triton .
• Proven expertise in object detection/tracking models such as YOLO, Deep SORT, DINOv2 , or similar.
• Experience with real-time or low-latency processing , multi-threaded programming , and performance tuning .
• Experience deploying and optimizing models on edge devices (Jetson, Coral, etc.).
• Demonstrated passion for research, innovation, and emerging AI technologies .
• Experience in 3D modeling or video behavior analytics is a plus.

ONLY CANDIDATES WITH THE REQUIRED SKILLS AND EXPERIENCE SHOULD APPLY TO THIS JOB!

• Design, develop, and implement advanced computer vision algorithms and deep learning models for image recognition, object detection, segmentation, and tracking.
• Utilize frameworks such as TensorFlow, PyTorch, and OpenCV to build and train robust vision systems.
• Process and analyze large datasets of images and videos to extract meaningful insights and improve model performance.
• Develop and maintain scalable AI pipelines for model training, evaluation, and deployment.
• Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
• Stay up-to-date with the latest research and advancements in computer vision and artificial intelligence.
• Optimize algorithms for real-time performance and efficiency on various hardware platforms.
• Troubleshoot and debug complex AI systems, identifying and resolving issues promptly.
• Contribute to the architecture and design of AI platforms and infrastructure.
• Mentor junior engineers and share knowledge within the team.

• Design, develop, and implement advanced computer vision models and algorithms.
• Conduct research on state-of-the-art techniques in areas like object detection, image segmentation, facial recognition, and video analysis.
• Preprocess, clean, and augment large datasets for model training.
• Train, fine-tune, and evaluate deep learning models using frameworks like TensorFlow or PyTorch.
• Optimize model performance for efficiency, accuracy, and scalability.
• Collaborate with cross-functional teams to integrate ML models into product features and services.
• Develop and maintain robust ML pipelines and MLOps practices.
• Stay current with the latest advancements in computer vision and machine learning research.
• Mentor junior engineers and contribute to the team's technical growth.
• Document research, methodologies, and code thoroughly.

• MSc or PhD in Computer Science, Electrical Engineering, or a related field with a specialization in Machine Learning or Computer Vision.
• Minimum of 5 years of hands-on experience in developing and deploying ML models, with a strong focus on computer vision.
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
• Solid understanding of computer vision fundamentals and algorithms.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Experience with CUDA and GPU programming is a plus.

• Develop, train, and deploy advanced deep learning models for computer vision applications.
• Design and implement novel deep learning architectures for tasks such as object detection, segmentation, and classification.
• Pre-process and manage large-scale image and video datasets.
• Optimise model performance, including accuracy, speed, and memory usage.
• Collaborate with software engineers to integrate computer vision models into production systems.
• Stay current with the latest research and advancements in deep learning and computer vision.
• Conduct thorough experimentation and analysis to validate model effectiveness.
• Troubleshoot and debug complex issues in model training and inference.
• Contribute to the MLOps pipeline for efficient model deployment and monitoring.
• Document research, development processes, and model architectures.

• Design, develop, and implement state-of-the-art machine learning models for computer vision applications.
• Conduct research and experimentation to explore new algorithms and techniques.
• Train, evaluate, and optimize deep learning models using relevant datasets.
• Collaborate with cross-functional teams to integrate AI solutions into products and services.
• Develop and maintain robust data pipelines for model training and inference.
• Stay current with the latest research trends and advancements in AI and computer vision.
• Contribute to the MLOps lifecycle, including deployment, monitoring, and maintenance of models.
• Mentor junior engineers and share knowledge within the team.
• Document research findings, model architectures, and implementation details.
• Present technical findings to both technical and non-technical audiences.

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• 5+ years of experience in machine learning, with a specialization in computer vision.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of image processing, convolutional neural networks (CNNs), and other computer vision techniques.
• Experience with cloud computing platforms (AWS, Azure, GCP).
• Familiarity with MLOps principles and tools.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.