1 to 25 of 66 Computer Vision Jobs in London

Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit … through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing ...

industrial markets — building for the 80% of economic activity that takes place beyond our screens. About the Role We are looking for a Computer Vision Research Engineer to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. … academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world‐class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. ...

Overview Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from-Motion (SfM), feed-forward models, and spatial foundation models. Collaborate with research scientists and engineers … conditions, hardware constraints, and real customers. Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. Responsibilities Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep ...

About the Role We're looking for a Data Annotation & Tooling Engineer to help build the high-quality datasets that underpin cutting-edge computer vision and AI systems. This is more than a traditional data annotation role. You'll be responsible for developing and improving annotation workflows, maintaining … tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout the machine learning lifecycle, helping improve model accuracy by creating robust, well-structured datasets. Responsibilities Prepare ...

This role is responsible for driving the development and deployment of advanced computer vision solutions within complex projects. The individual applies advanced proficiency in machine learning, deep learning, and vision algorithms to deliver robust models, optimize workflows, and provide strategic technical guidance to team members. They ensure … successful delivery of high-impact solutions aligned with organizational goals. Key Responsibilities Develop and optimize computer vision models using Python, TensorFlow, and PyTorch, applying advanced proficiency in supervised and unsupervised learning techniques to solve complex image and video analysis tasks. Implement scalable data pipelines with Apache Spark ...

looking for a Senior Software Engineer to join the Specs team! Key Responsibilities Design, build, and support software systems, tools, and workflows that enable computer vision development for Spectacles. Develop production‐quality C++ and supporting infrastructure for CV‐related pipelines, tooling, and internal developer workflows. Improve the reliability … environments. Build high quality, maintainable, and performant code with strong testing and operational standards. Participate in code and design reviews. Work closely with computer vision, platform, product, and infrastructure teams to turn research and prototypes into robust engineering solutions. Knowledge, Skills, and Abilities Strong software engineering skills ...

join the growing Core AI team based in London. As a Senior Research Engineer in Core AI, you will design, build and ship the computer vision and ML models that power iProov’s facial biometric and liveness systems. You’ll own projects end‐to‐end, from idea … production integration and incident response, in a highly adversarial security context. How you can make an impact Lead research projects in the areas of computer vision, machine learning and biometrics. Develop and train deep learning models for face verification, liveness and attack detection. Take the lead on shaping ...

intelligence, our technology processes billions of waste objects, turning trash into actionable data. Through our hardware-enabled SaaS model—comprising the Greyparrot Analyzer (IoT computer vision units deployed over recycling conveyor belts) and Deepnest (our next-generation packaging intelligence platform)—we empower recycling facilities (MRFs), fast-moving consumer … maximize recovery, and turn circular economy aspirations into financial and operational reality. About the Role As our VP of Product, you will own the vision, strategy, and execution of Greyparrot’s dual-pronged product ecosystem. Your work will bridge the gap between sophisticated hardware deployment and deep, data-driven ...

Founding AI Engineer – Applied AI/Computer Vision - London/Hybrid We’re looking for a Founding AI Engineer to join an exciting early‐stage Computer Vision AI company building cutting‐edge agentic workflows and AI‐powered video tools used in large‐scale media environments. With … Generative AI, prompt engineering or agentic workflows Exposure to AI infrastructure, deployment, evals or optimisation Startup mindset with a hands‐on, product‐focused approach Computer vision/video/VFX/rendering experience beneficial What’s on offer £100k - £140k base + equity Founding-level ownership ...

able to write efficient code and have a good understanding of data structures and algorithms. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required. Preferred Skills Knowledge of Machine Learning Algorithms: Familiarity with various machine learning algorithms like … techniques and libraries like NLTK, SpaCy, etc. Knowledge of Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud, or Azure. Understanding of Computer Vision: Familiarity with computer vision techniques and libraries like OpenCV. Experience with Big Data Tools: Experience with big data tools like Hadoop ...

distributed GPU infrastructure and managed services Build production-grade voice AI systems using STT, TTS APIs, and LLMs deployed on aion's platform Develop vision-enabled agents processing real-time video streams using computer vision pipelines on aion's infrastructure Implement sophisticated multi-agent orchestration with … building production AI/ML systems, with 1-2+ years deploying LLM applications to production Multimodal AI expertise practical experience building voice agents, vision systems, or conversational AI serving real users Strong LLM foundations hands-on with modern foundation models including fine-tuning, prompt engineering, and evaluation methodologies ...

existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices … define technical requirements and deliver value-driven solutions, facilitating clear and actionable communication of complex AI concepts Required Qualifications Bachelor\'s degree in Computer Science, Engineering, Mathematics, or related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused ...

advance the state‐of‐the‐art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. … solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc. Experience monitoring ...

office . What? youll do: Youll be the technical lead for a critical ML domain (e.g.,? live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolutionnot just single modelswhile mentoring engineers … data scientists and raising the bar across teams.? Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.? Generate ...

will have end-to-end accountability for strategy, product development, commercial growth, platform evolution and profitability. Key Priorities – First 24 Months Define the Vision and Roadmap Establish a clear 3-year strategy and operating roadmap for the Field Intelligence business. Build a scalable commercial and operating model aligned … global growth ambitions. Establish baseline commercial, operational and financial performance measures. Accelerate AI and Product Innovation Deploy AI, Machine Learning and Computer Vision use cases that deliver measurable client and business value. Transition intelligence capabilities from descriptive reporting to predictive and prescriptive decision-support tools. Create a sustainable ...

seeking a Senior Software Engineer to join the Specs team in London. You will design, build, and support software systems and tools that enable computer vision development for Spectacles. You will develop production‐quality C++ and supporting infrastructure for CV pipelines and internal developer workflows. The role focuses ...

grounding in statistics and core ML concepts Strong communication skills, able to explain technical concepts to non-technical stakeholders Desirable Experience with NLP or computer vision specialisms Exposure to containerisation/orchestration (Docker, Kubernetes) Relevant academic background (MSc/PhD in a quantitative field) or equivalent commercial experience ...

Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent neural networks, object detection Robotics: reinforcement learning, motion planning, control systems Data ethics: bias in machine learning, fairness ...

Learning methodologies, Data Science, and accompanying algorithms. Good experience integrating LLMs as hybrid AI‐ML systems. Academic background with at least a BSc in Computer Science. Experience in modern Computer Vision, having built image detection systems end‐to‐end. Strong understanding of ML deployment and management ...

advance the state‐of‐the‐art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. … optional opportunity for management responsibility dependent on the candidate’s experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism ...

spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open … Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving ...

methodologies, Data Science and accompanying algorithms. Additionally, good experience integrating LLMs as hybrid AI‐ML systems. Academic background with at least a BSc in Computer Science. Desirable Criteria Experience in modern Computer Vision, having built image detection systems end‐to‐end. Strong understanding of ML deployment ...

with MLOps platforms (e.g., MLflow, SageMaker) or agentic AI frameworks. Familiarity with secure development practices or regulated/high-compliance environments. Background in NLP, computer vision, or data engineering platforms. #J-18808-Ljbffr ...

with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps ...

initiatives. Minimum Qualifications Strong background in machine learning. Strong programming skills in Python or C++. Bachelor’s degree in a technical field such as computer science, mathematics, statistics or equivalent engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking … other related deep learning or computer vision applications. Preferred Qualifications Knowledge of computer graphics foundations. Experience with visual Gen AI models for image and video generation and editing. Experience with evaluating the visual quality of image and video models. Track record of successful projects in the GenAI ...