76 to 100 of 437 Computer Vision Jobs in London

driven scientific discoveries in biology and healthcare. Build for significant growth and have the ability to scale challenges – achieving a high degree of robustness and performance. Background: M.Sc in computer science or engineering. A developed understanding of machine learning and computer vision, including MLOps. Acute coding skills in Python and other programming languages. Knowledge of object-oriented … push the boundaries of science! Desired experience: Ph.D. in a relevant area. Understanding of PyTorch, TensorFlow, and platforms like TFX, Neptune.ai, MLflow, Weights & biases, etc. Previous experience working in computer vision or machine learning. Knowledge of digital pathology. Awareness and prior experience in Life Science and/or computational biology. Following your application, Mark Njiriri, a specialist AI More ❯

enabling environmental understanding. Your work will directly impact the core functionalities of our autonomous systems. Key areas of impact include: Technical Strategy & System Architecture: Define and drive the technical vision, architecture, and scaling roadmap for perception systems, ensuring they meet autonomous driving demands and champion new technologies Perception Model Lifecycle Management: Lead the end-to-end development of scalable … Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML infrastructure) to deliver seamlessly integrated and high-performing autonomous features Qualifications MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field Experience (typically 8+ years post-graduation) in machine learning, computer vision, or robotics, with significant work in … Experience (typically 3+ years) in a technical leadership or management role, leading engineering teams on complex projects Technical depth in machine learning, deep learning architectures (e.g., CNNs, Transformers), and computer vision algorithms Experience developing and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi-sensor fusion) in real-world applications Proficiency in Python and C++ Experience with More ❯

customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. … practices Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and More ❯

advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of … 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 … weeks ago London, England, United Kingdom 5 months ago London, England, United Kingdom 2 weeks ago City Of London, England, United Kingdom 2 days ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help More ❯

monitoring ML models in production environments Build and maintain reliable data pipelines for training, testing, and validation Assist in evaluating and comparing model performance and outcomes Requirements: Degree in Computer Science, Software Engineering, or a related technical discipline Minimum 5 years of industry experience or a PhD in a relevant area Strong theoretical foundation in ML, deep learning, and … computer vision Proficient in Python and common ML frameworks such as PyTorch Hands-on experience with MLOps platforms and tools (experience with ClearML is beneficial) Familiarity with cloud platforms (e.g. AWS, GCP, Azure) Experience with generative AI tools (e.g. ChatGPT, GitHub Copilot) is a plus If you’re an experienced AI Engineer eager to apply your skills in More ❯

monitoring ML models in production environments Build and maintain reliable data pipelines for training, testing, and validation Assist in evaluating and comparing model performance and outcomes Requirements: Degree in Computer Science, Software Engineering, or a related technical discipline Minimum 5 years of industry experience or a PhD in a relevant area Strong theoretical foundation in ML, deep learning, and … computer vision Proficient in Python and common ML frameworks such as PyTorch Hands-on experience with MLOps platforms and tools (experience with ClearML is beneficial) Familiarity with cloud platforms (e.g. AWS, GCP, Azure) Experience with generative AI tools (e.g. ChatGPT, GitHub Copilot) is a plus If you’re an experienced AI Engineer eager to apply your skills in More ❯

work in the UK . Verification of employment eligibility is required at hire; visa sponsorship is not available. QUALIFICATIONS AND KEY REQUIREMENTS: Lead Space Station Engineer/BEng in Computer or Systems Engineering/Electronic & Embedded Engineer/20+ years FPGA Design experience/AI Governance Lead/Cryptography Specialist Chartered Engineer (CEng) with 15+ years proven experience Member … JTAG) Embedded Software Engineer with 20+ years experience in Embedded C/C++, Python, Linux, RTOS, microcontrollers, network protocols, Model-Based Design Expertise in Machine Learning & AI, Deep Learning, Computer Vision, Data Science, Programming (Python, TensorFlow, PyTorch, MATLAB, Julia), Computational Modeling (FEA, HPC) Additional qualifications include MEng in Electronics and Computer Science, BSc in Electronic Engineering, RF More ❯

to a fantastic company culture and help us grow Polaron, so if you feel like you could excel in this role, please get in touch! Requirements A degree in Computer Science, Engineering, AI, Math, Physics, or similar - or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based More ❯

customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. … practices Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and More ❯

related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with … popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation 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 ❯

contribute to a fantastic company culture and help us grow Polaron, so if you feel like you could excel in this role, please get in touch! A degree in Computer Science, Engineering, AI, Math, Physics, or similar – or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based 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 ❯

AI initiatives with business goals, developing scalable AI architectures and ensuring seamless integration across systems, data sources and workflows. This role requires a strong blend of technical acumen, strategic vision and cross-functional leadership to drive innovation and digital transformation. Your future duties and responsibilities: • Define and drive the enterprise AI strategy in alignment with business and IT objectives … engagement skills Desirable: • TOGAF or other enterprise architecture certification • Experience deploying AI solutions at scale in industries such as finance, healthcare or retail • Understanding of GenAI (e.g. LLMs), NLP, computer vision or reinforcement learning • Experience with containerisation, orchestration (e.g., Docker, Kubernetes) and CI/CD for ML #CF-1 Skills: Leadership What you can expect from us: Together More ❯

and development goals. Who You Are Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such … mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities. Minimum Qualifications Masters or Ph.D. degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning More ❯

and externally, adjusting technical depth based on the audience. Participate in technical discussions, design reviews, and customer-facing activities when required. Requirements: B.Sc ., M.Sc ., or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field. 2-5 years of professional experience in applied machine learning or engineering roles. Strong expertise in Machine Learning and … performance computing environments (e.g., Kubernetes, Ray, Dask). Contributions to open-source projects, publications, or top placements in ML competitions (e.g., Kaggle). Expertise in related fields such as Computer Vision, Representation Learning, or Simulation Environments. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of More ❯

month ago City Of London, England, United Kingdom 1 week ago London, England, United Kingdom 1 day ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 6 days More ❯

standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join 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 ❯

synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment. Desired Skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on 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 ❯

Social network you want to login/join with: Head of AI (Computer Vision), london (city of london) col-narrow-left Client: Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 6 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Head of AI Location: London … 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 Working alongside technical and non-technical stakeholders … 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 ❯

by Brio Digital. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Job Title: Machine Learning Engineer – Computer Vision Focus Overview: We’re looking for a skilled Machine Learning Engineer to join a growing technology company building cutting-edge solutions for real-world automation. You’ll … be part of a small, collaborative team applying computer vision to improve performance, efficiency, and user experience across multiple sectors. This role offers the chance to work on high-impact machine learning problems, shape production-ready models, and contribute to the development of a platform that’s democratising access to AI-driven automation. Key Responsibilities: Model Development: Design … train, and deploy machine learning models for computer vision use cases such as object detection, classification, and segmentation. Data Handling: Collaborate with data engineers to manage large datasets, ensuring quality data pipelines for model training and evaluation. Algorithm Tuning: Optimise model performance through experimentation with architectures and hyperparameters. Cross-Functional Collaboration: Work closely with engineers, product managers, and 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. 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. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling More ❯