51 to 75 of 876 Permanent Computer Vision Jobs

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 ❯

re on a mission to transform the used car market. About the role: We're looking for an experienced and driven Lead Machine Learning Engineer to lead our Machine Vision team. This role focuses on taking full responsibility for developing, deploying, and maintaining high-quality, performant computer vision models, including classification, object detection, and segmentation production models. … to streamline vehicle profiling and transform the online vehicle selling and buying experience for all our customers - including both sellers and dealers. In this role, you'll lead the computer vision side, manage and mentor at least one Machine Learning Engineer (MLE), and collaborate closely with machine learning engineers, backend engineers, and product managers to develop scalable, high … combine technical brilliance with strong commercial acumen and understanding ofproduct needs, with pragmatic scalable and robust solutions at the core of your decision making. By applying your expertise in computer vision, leading Gen AI technologies exploration, and team leadership, you'll create cutting edge applications that push the boundary at the interface of AI in the online automotive More ❯

graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance, for example in managing risk, and build solutions that enable Liberty Mutual to achieve this. … have opportunities to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two years' postgraduate relevant Data Science experience in a commercial environment or completed a PhD with two years of suitable … as MongoDB, Snowflake, Spark, or Hadoop. Knowledge and experience of deploying enterprise scale data science products. Experience in coaching and mentoring team members. Experience and skills we'd love: Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of More ❯

You will have the opportunity to 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. We have a growing … design and delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role 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, maintaining, enhancing existing models … over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Knowledge of open source datasets and benchmarks in NLP/Computer Vision Hands-on experience in implementing distributed/ More ❯

Required Skills and Qualifications MSc or PhD in Computer Science, Data Science, Machine Learning, or a related field. 3+ years of experience in developing machine learning solutions. Strong proficiency in Python and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Solid understanding of ML lifecycle: data … with version control (Git), CI/CD pipelines, and software engineering best practices. Fluent in English; knowledge of French or Dutch is a plus. Desirable Qualifications Experience in NLP, computer vision, time-series, or recommender systems. Knowledge of data privacy and ethical AI frameworks (e.g., GDPR compliance). Experience with big data frameworks (Spark, Hadoop). Previous experience More ❯

You will have the opportunity to 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. We have a growing … design and delivery of the production architectures for our solutions Required Qualifications, Capabilities, And Skills Hands on experience in an ML engineering role 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, maintaining, enhancing existing models … over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Knowledge of open source datasets and benchmarks in NLP/Computer Vision Hands-on experience in implementing distributed/ More ❯

and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI … market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for analysis · 4+ years of experience in applying ML … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical More ❯

and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI … market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for analysis · 4+ years of experience in applying ML … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical More ❯

and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI … market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for analysis · 4+ years of experience in applying ML … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical More ❯

and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM, Data, AI or a Programming related subject (such as Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks … into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM, Data, AI or a Programming related subject (such as Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks … into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM, Data, AI or a Programming related subject (such as Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks … into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

United Kingdom 1 week ago London, England, United Kingdom 3 days ago Machine Learning Engineer for Game Technology London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 days ago London, England, United Kingdom 2 weeks … United Kingdom 1 day ago London, England, United Kingdom 1 week ago Graduate Software Engineer – ML Data Platform London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 4 months More ❯

deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills And Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or More ❯

lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a … you. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant … and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading More ❯

Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python More ❯

achieve competitive advantage through AI innovation. What You’ll Do: AI & ML Development – Build and deploy machine learning models using Azure ML, Python, and Databricks. Develop solutions for NLP, computer vision, predictive analytics, and recommendation systems. Solution Architecture – Design scalable, secure AI solutions using Azure Data Lake, Microsoft Fabric, and Databricks. Align AI strategies with business goals and More ❯

embedded systems that enable edge computing and connectivity. Working closely with other teams across Medtronic, we are creating a connected ecosystem and leveraging the state of the art in computer vision to provide the most comprehensive view of surgery. If you’re interested in using cutting-edge technology to improve the standard of care in surgery on a 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 ❯

Experience in applied research 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 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We 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 ❯

continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support for … or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort More ❯

on a mission to revolutionise the built environment with their cutting-edge 3D reconstruction and scene understanding system. They are seeking a Research Engineer with a strong background in computer vision, geometry processing, computer graphics, and machine learning. This role offers an exciting opportunity to work on challenging problems, develop innovative solutions, and see your contributions become … integral parts of a disruptive technology-focused business. What you'll do: As a Research Engineer (Computer Vision), you will play a pivotal role in shaping the future of our client's technology. Your expertise in computer vision techniques will be crucial as you work with image and 3D datasets, developing new skills along the way. … to create production-quality, robust code for industrial-scale use. Maintain, improve, and optimise algorithms to enhance performance and efficiency. Stay updated with the latest technologies and research in computer vision, computer graphics, and machine learning. Communicate the latest advances to the wider team when they should be applied to our data. Work closely with the team More ❯

Research & Development Internally and externally funded research and development products investigating and developing low TRL technologies. Product Development Development and support of Synoptix products, primarily in the AI and Computer Vision (object detection and track) domains. Service Development Development of Synoptix services, including our upcoming AI Assurance service offering. Engineering Services Delivery of engineering services on behalf of … others as required. Support the wider team in project planning, requirements definition and requirements analysis. Lead software design, development, testing, deployment and maintenance for a range of AI and Computer Vision products. Providing Software Engineering Subject Matter (SME) Expertise Act as part of multidisciplinary teams in delivering engineering services to Synoptix clients. Provide technical documentation, briefings and presentations … Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer vision related products and services. Experience with visual processing libraries; OpenCV, TensorFlow, PyTorch etc. Experience operating as part of a multidisciplinary team Experience in developing/mentoring junior More ❯

Research & Development – Internally and externally funded research and development products investigating and developing low TRL technologies. Product Development – Development and support of Synoptix products, primarily in the AI and Computer Vision (object detection and track) domains. Service Development – Development of Synoptix services, including our upcoming AI Assurance service offering. Engineering Services – Delivery of engineering services on behalf of … others as required. Support the wider team in project planning, requirements definition and requirements analysis. Lead software design, development, testing, deployment and maintenance for a range of AI and Computer Vision products. Providing Software Engineering Subject Matter (SME) Expertise Act as part of multidisciplinary teams in delivering engineering services to Synoptix clients. Provide technical documentation, briefings and presentations … Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer vision related products and services. Experience with visual processing libraries; OpenCV, TensorFlow, PyTorch etc. Experience operating as part of a multidisciplinary team Experience in developing/mentoring junior More ❯