26 to 50 of 531 Permanent Computer Vision Jobs in London

to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we'd love to chat. We're … looking for an AI/ML Engineer to help us make this vision a reality. Competitive candidates are outstanding engineers with a track record in developing SOTA deep learning models for solving challenging real world scientific problems and production grade AI-powered software solutions. Our team focuses on the discovery of preclinical digital biomarkers that translate robustly to clinical … humane use of animals in scientific research. In this role you will Convert vaguely described biological/drug discovery challenges into well-defined machine learning problems, particularly in the computer vision domain (both images and video). Execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing More ❯

and abuses detection, (4) Compliance Shared Services, with a mission to automate risk evaluation and investigations by providing unstructured content processing such as document understanding and validation and building computer vision and named entity recognition systems) and (5) RING, with a mission to create affordable, innovative, and easy-to-use smart home security devices. BASIC QUALIFICATIONS Bachelor's … degree in Marketing, Communications, HR, Computer Science, or related field. Experience in tech community engagement, recruitment marketing, or similar role. Proven track record in creating tech community partnerships and event management. Demonstrated experience in digital marketing and social media management. Experience working across technical teams and understanding tech culture. Experience owning program strategy, end to end delivery, and communicating More ❯

technical approaches and stay aware of industry & business trends. We are a global team, made up of a diverse set of profiles, skills & backgrounds - including Product Managers, Software Developers, Computer Vision Experts, Solution Architects, Data Scientists, Business Intelligence Engineers, Business Analytics, Risk Managers & more. BASIC QUALIFICATIONS - 3+ years of tax, finance or a related analytical field experience - Experience … defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel - Bachelor's degree in computer science, engineering, mathematics or equivalent - 6+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables), - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI … packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/or machine learning techniques. - Knowledge of how More ❯

with customers, product and program managers, other engineering managers, and tech leads to understand what you need to build. You will develop the science and engineering roadmaps, communicate your vision and milestones to leadership and to your collaborators. You will deliver results that impact hundreds of millions of Amazon customers worldwide. A solid track record in defining and executing … Information Retrieval and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

communication skills - Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - Master's degree with specialization in ML, NLP or Computer Vision preferred - 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. More ❯

initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. … Comfortable working in a fast-paced, cross-functional environment. Awareness of data privacy, copyright, and ethical considerations in AI adoption. Degree in Computer Science, Data Science, Media Technology, or a related field. Hands-on experience with AI platforms and tools (e.g., OpenAI, Adobe Firefly, Synthesia, RunwayML, Jasper, ChatGPT, etc.). Background in media production, journalism, or digital marketing is More ❯

Neurolabs is looking for a talented Senior Machine Learning Engineer to join our team. As an ML Engineer at Neurolabs, you will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that meet our … client's needs. We are committed to democratising Computer Vision in the retail space, and your contributions will directly influence the impact of our solutions across various sectors. Responsibilities Model Development: Design, build, and deploy Large Vision Models (LVMs) for applications focused on enhancing customer experience, workforce efficiencies, and product performance Data Preparation: Collaborate with data engineers … model architectures and hyperparameters to improve performance throughput while maintaining efficiency Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and platform engineers, to deliver integrated Computer Vision solutions Performance Monitoring: Monitor live models and performance metrics, troubleshoot issues, and implement updates as necessary to ensure optimal performance Continuous Learning: Stay updated with the latest More ❯

outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and … and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an More ❯

role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are changing how we work and live. Whether you're a … do. Tailored Compensation: Competitive salary, early-career benefits, and fast-track development opportunities in the AI space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries More ❯

Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as MongoDB or … environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance More ❯

and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at scale. More ❯

both domains Collaborate closely with cloud and SRE teams while leading the design and delivery of production architectures Required qualifications, capabilities, and skills PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics. Experience in an individual contributor role in ML engineering. Proven track record in building and leading teams of experienced ML engineers/scientists. Solid understanding of … the fundamentals of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms. Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.). Ability to understand and align with business expectations, and write clear and concise OKRs (Objectives and Key Results). Experience … as a "Responsible Owner" for ML services in enterprise environments. Excellent grasp of computer science fundamentals and SDLC best practices. Ability to understand business objectives and align ML problem definition. Strong communication skills to effectively convey technical information and ideas at all levels, building trust with stakeholders. Preferred qualifications, capabilities, and skills Experience in designing and implementing pipelines using More ❯

analyse, and search various types of media and data using our in-house suite of analytics and AI capabilities. Expect to tackle exciting challenges like interacting with LLMs and Computer Vision algorithms, handling real-time messaging and event-driven systems, and developing complex data ingestion and indexing pipelines. About The Role: As a Senior Software Engineer, you will More ❯

+ equity/benefits Location: London - 4 days a week in office Manage and lead a dynamic team of Machine Learning Engineers working on high-impact, computer vision models in the media and gaming space. ROLE AND RESPONSIBILITIES Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision … SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in leading projects across Computer Vision Management and leadership experience is required Excellent communication skills with proven experience working with stakeholders Previous startup experience is preferred This role is looking for someone with More ❯

+ equity/benefits Location: London - 4 days a week in office Manage and lead a dynamic team of Machine Learning Engineers working on high-impact, computer vision models in the media and gaming space. ROLE AND RESPONSIBILITIES Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision … SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in leading projects across Computer Vision Management and leadership experience is required Excellent communication skills with proven experience working with stakeholders Previous startup experience is preferred This role is looking for someone with More ❯

individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal … authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities … include: Developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem. Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets. Leading the full lifecycle of model development, from research and training to validation and performance benchmarking. Mastering model export to various formats such More ❯

every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. Publish research results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences. … Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least More ❯

machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest More ❯

in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … their AI driven platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯

in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … their AI driven platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯

individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work … advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state-of-the-art computer vision technologies. Key responsibilities include: Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini. Implementing and managing multi-API workflows … Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions . A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus. Excellent problem-solving skills and the ability to perform in a fast-paced More ❯

for talented Postdoctoral Scientists to join our team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies. As part of the Rufus Features Science team in London, the postdoc will work on shaping the future of AI-driven … for agentic conversational shopping systems Publish research findings in top-tier conferences and journals Mentor junior researchers and contribute to the team's scientific direction BASIC QUALIFICATIONS PhD in Computer Science, Machine Learning, Information Retrieval or related field Strong publication record in NLP, Information Retrieval, or Conversational AI Experience with large language models and retrieval-augmented generation Research background More ❯

+ experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance, Computer Vision Management and leadership experience is required Excellent communication skills with proven experience working with stakeholders Previous startup experience is preferred This role is looking for someone with More ❯

such as Cloud, Compute Frameworks, MLOps, Observability and Build Infra. RESPONSIBILITIES: Work on high-impact projects and innovate new solutions to problems in the self-driving space Work with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space Understand the complex data requirements of modern ML … many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・ Excellent health, wellness, dental and vision coverage ・ A rewarding pension ・ Flexible vacation policy ・ Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you More ❯

In this role you will: Design, deploy and scale on their cloud platform (AWS/GCP) Implement and maintain CI/CD pipelines Engineering data working closely with the Computer Vision team Deploying APIs and packages Stay updated on emerging technologies, trends, and best practices in DevOps and MLOps to recommend and implement innovative solutions that drive business … numerical or relevant field is preferred MLOps experience is required An excellent understanding of DevOps processes and techniques Happy working in a fast-paced environment Any experience working with computer vision engineers is a bonus! How To Apply Please register your interest for this role by sending your CV to Joseph Gregory via the apply link on this More ❯