26 to 50 of 262 Permanent Computer Vision Jobs

experience in software development, particularly in automated testing environments. The ideal candidate will possess a strong understanding of software design principles and will be able to leverage expertise in computer vision and artificial intelligence to design and im plement advanced algorithms and models tailored for the ATF. Join us in shaping the future of aerospace technology through innovative … Responsibilities: Develop and support the maturation of software test tools needed to robustly implement Open Mission Systems (OMS) software architecture. Design, implement, and optimize AI/ML models and Computer Vision algorithms to facilitate the automated testing of avionic Pilot/Vehicle Interfaces (PVI) Collaborate with cross-functional teams to gather requirements and feedback for the development of … TensorFlow, PyTorch ). 3+years of experience with Agile software development Preferred Qualifications (Desired Skills/Experience): Bachelor with 2 years' related work experience or master's degree in engineering, Computer Science, Math, or Statistics. Hands-on experience with state-of-the-art models (e.g., generative AI, computer vision, and NLP). Experience with end-to-end ML More ❯

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026 As a Computer Vision and Artificial Intelligence Engineer within the Image Processing UK department, you will play a critical role in the development of MBDA products and technologies. You will be an important member of a department that produces world-leading algorithms that use imaging sensors to More ❯

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 More ❯

what unites us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and … models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful either Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and how to set up pipelines. Can demonstrate a track … record of delivering AI/ML solutions as an individual contributor Demonstrate expertise in deep learning for computer vision, natural language processing, reinforcement learning etc Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Strong fundamentals in Mathematics, Statistics and Data Analysis Experience working in an Agile environment and knowledge More ❯

growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their … customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. Implement production-level coding … in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical More ❯

growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their … customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. Implement production-level coding … in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical More ❯

or Outside IR35 considered) Location: Remote (UK-based preferred; preferred onsite for initial few days We’re supporting a major client on a short, high-impact project that blends computer vision , NLP , and marketing analytics . The goal is to refine and optimise an existing model that predicts the conversion rate of marketing images based on their visual … teams to make the tool usable, explainable, and business-ready. Handle both model optimisation and dash app refinement , focusing on interpretability and usability. Tech environment: Python | CLIP | Phi | SHAP | Computer Vision | NLP | Dash | Pandas | NumPy Ideal profile: Proven experience in data science/ML , with practical exposure to computer vision and explainable AI . Strong coding More ❯

platforms. Design and evaluate data encoding, preprocessing and postprocessing methods. Build tools and pipelines for performance benchmarking and model evaluation. Research and adapt state-of-the-art ML and computer vision techniques to new hardware paradigms. Collaborate cross-functionally with hardware, software and research teams. Requirements Strong background in machine learning algorithm development and optimisation. Proficiency in Python … TensorFlow. Experience with data modelling, preprocessing and performance benchmarking. Understanding of ML evaluation metrics and model analysis methods. Excellent communication skills and collaborative mindset. 3+ years’ experience in ML, computer vision, data science or a related quantitative field. What’s on offer £100k+ salary depending on experience. Stock options and pension contributions. 25 days annual leave + bank … progression potential. If you’re interested in this role and have all the necessary experience, then apply now. Otherwise, if you’re looking for other AI/ML and computer vision opportunities, reach out to Oscar Harper at IC Resources. More ❯

platforms. Design and evaluate data encoding, preprocessing and postprocessing methods. Build tools and pipelines for performance benchmarking and model evaluation. Research and adapt state-of-the-art ML and computer vision techniques to new hardware paradigms. Collaborate cross-functionally with hardware, software and research teams. Requirements Strong background in machine learning algorithm development and optimisation. Proficiency in Python … TensorFlow. Experience with data modelling, preprocessing and performance benchmarking. Understanding of ML evaluation metrics and model analysis methods. Excellent communication skills and collaborative mindset. 3+ years’ experience in ML, computer vision, data science or a related quantitative field. What’s on offer £100k+ salary depending on experience. Stock options and pension contributions. 25 days annual leave + bank … progression potential. If you’re interested in this role and have all the necessary experience, then apply now. Otherwise, if you’re looking for other AI/ML and computer vision opportunities, reach out to Oscar Harper at IC Resources. More ❯

video processing technologies. You’ll be part of a group developing end-to-end image display pipelines, from SDR/HDR rendering algorithms to color management (ICC profiles) and computer vision applications. This will be a 12 months contract, working onsite in Cambridge, inside IR35. What you’ll do Develop and optimize multimedia algorithms for image/video … systems Experience in at least one of the following: Windows Multimedia Application (C/C++), Image display pipeline (SDR/HDR media rendering algorithms), Image/Video processing and Computer Vision algorithms, DirectX, Color management (ICC profiles) Proven experience in image processing algorithm development Curiosity, creativity, and the drive to innovate Bonus points for Experience in computer vision algorithm development Passion for photography or videography Confidence in defending your ideas with technical reasoning If you’re excited by cutting-edge multimedia and imaging technology and enjoy solving complex visual challenges, we’d love to hear from you. In accordance with local employment laws, applicants must have current, valid authorisation to work in the UK at More ❯

Neko Health is a Swedish health-tech company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Our vision is to create a healthcare system that can help people stay healthy through preventive measures and early detection. Neko has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data … lives and breathes Machine Learning and AI hiring. This role is all about placing some of the sharpest minds in AI. The kind of people building foundational models, redefining computer vision, or building robotics systems that push the limits of science and engineering. You'll support all hiring across our Machine Learning and AI orgs, working closely with … ve built first-of-its-kind systems. Responsibilities: Support hiring for our Machine Learning and AI orgs across Europe. Define and drive sourcing strategies targeting candidates in AI research, Computer Vision, Robotics, and Applied ML. Partner with senior leadership to define what "best-in-class" looks like and adapt hiring strategies accordingly. Own the full recruitment lifecycle from More ❯

s first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at … Bonus if you have: Firebase/Firestore at scale, Cloud Functions, Pub/Sub, Redis. NX monorepo workflows, trunk-based development, feature flags. Image-heavy or real-time systems, computer-vision pipelines, or human-in-the-loop tools. Experience integrating external AI/ML services via well-designed boundaries. GDPR/PII handling, enterprise customer integrations. Why UVeye … Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic More ❯

and patent submissions Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment What we're looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong … background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience), Evidence of leading technical developments by at least 1 research publication in a top-tier conference like More ❯

imaging data. Design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance. Contribute to the dissemination through patenting and clinical engagement. Closely work with our software development and regulatory team for efficient integration from R … London and was founded by a team of clinicians, medical imaging and artificial intelligence (AI) experts. Based on safe light alone, our goal is to equip clinicians with advanced computer-assisted tissue analysis for improved surgical precision and patient safety. We have developed a computational Hyperspectral Imaging (HSI) system for improved intraoperative surgical guidance. HSI is a safe optical … Innovations to improve surgical care. Come make an impact with us and help shape our story. A bit about you MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such More ❯

AI solutions for real-time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data … Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure, Docker, Kubernetes, MLflow, CI/CD pipelines Bonus: Experience with wearable/sensor data, player tracking, or sports video analytics … TO BE CONSIDERED... Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

AI solutions for real-time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data … Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure, Docker, Kubernetes, MLflow, CI/CD pipelines Bonus: Experience with wearable/sensor data, player tracking, or sports video analytics … TO BE CONSIDERED... Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

They are seeking a Head of AI to lead the next stage of their technical innovation. This is a hands-on leadership role where you’ll define the AI vision, drive research and production initiatives, and deliver intelligent systems that create measurable impact across logistics operations. What you’ll be doing: Lead the design and deployment of next-generation … AI systems across Generative AI, Computer Vision, Forecasting, and Optimisation. Build and lead a world-class team of data scientists and ML engineers, setting technical direction and best practices across the company. Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure. Explore cutting-edge approaches in foundation models, agentic AI, and … business outcomes, driving measurable value and competitive advantage. About you: Proven track record leading AI or data science teams in production supply chain or logistics environments. Deep expertise in Computer Vision and Generative AI, with strong understanding of modern ML architectures, model training, and deployment techniques. 7+ years’ experience in applied ML, data science, or AI, including senior More ❯

They are seeking a Head of AI to lead the next stage of their technical innovation. This is a hands-on leadership role where you’ll define the AI vision, drive research and production initiatives, and deliver intelligent systems that create measurable impact across logistics operations. What you’ll be doing: Lead the design and deployment of next-generation … AI systems across Generative AI, Computer Vision, Forecasting, and Optimisation. Build and lead a world-class team of data scientists and ML engineers, setting technical direction and best practices across the company. Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure. Explore cutting-edge approaches in foundation models, agentic AI, and … business outcomes, driving measurable value and competitive advantage. About you: Proven track record leading AI or data science teams in production supply chain or logistics environments. Deep expertise in Computer Vision and Generative AI, with strong understanding of modern ML architectures, model training, and deployment techniques. 7+ years’ experience in applied ML, data science, or AI, including senior More ❯

aligned with business goals. • Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML … computer vision, recommendation/optimization, or advanced analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders More ❯

aligned with business goals. • Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML … computer vision, recommendation/optimization, or advanced analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders More ❯

with Software Engineers, Product Managers, and other stakeholders. The role requires strong mathematical and statistical foundations, excellent software engineering skills, and proven expertise in modern machine learning techniques, including Computer Vision, Natural Language Processing, and Deep Learning. ---------------------------------------- Key Responsibilities Design, build, and deploy advanced machine learning models and algorithms into production. Lead technical development within cross-functional teams … and Experience Strong proficiency in Python and experience writing scalable, production-ready code. Hands-on experience with PyTorch, Transformer architectures, and Large Language Models (LLMs). Demonstrated success delivering Computer Vision and/or NLP/LLM projects into production. Solid understanding of model deployment, pipelines, and software development fundamentals. Expertise in Deep Learning, including training, evaluation, and More ❯

AI curriculum, from concept to delivery, ensuring alignment with apprenticeship standards, EPA requirements, and quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure, AWS, GCP), and ethical AI practices. Monitor sector and … for apprenticeships or higher education, specifically at Level 3 and Level 4. Deep subject matter expertise in artificial intelligence, including hands-on experience with machine learning, deep learning, NLP, computer vision, and data engineering. Experience in client-facing roles, including sales enablement or consultancy, with the ability to communicate complex AI concepts to non-technical stakeholders. Strong knowledge … standards and EPA frameworks for AI and digital programmes. Excellent communication and stakeholder engagement skills. Desirable Teaching qualification (e.g., PGCE, CertEd). Level 4+ qualification in AI, Data Science, Computer Science, or a related field. Experience with digital learning platforms (e.g., Canvas, Moodle) and online delivery of AI content. Knowledge of instructional design methodologies and curriculum evaluation models. Familiarity More ❯

Overview: You will join the Entrust Applied Science team as a research intern. The team consists of 20+ Applied Scientists located in London, UK. We develop machine learning and computer vision models for the Onfido product lines, in particular fraud detection and data extraction on government IDs and biometrics data. You will work together with a team of … GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning community. Responsibilities: You will contribute to research on Vision Language Models (VLMs) for fraud detection, face matching and document extraction You will work on unique, large-scale image and video datasets and train models on state-of-the … publish and open-source your work You will be part of a vibrant team of 15+ Applied Scientists based in Paris and London Basic Qualifications: Currently enrolled in a Computer Science Master's or PhD degree or a related field Proficiency with a modern deep learning framework (PyTorch or TensorFlow) Ability to write research code in Python Strong communication More ❯

Overview: You will join the Entrust Applied Science team as a research intern. The team consists of 20+ Applied Scientists located in London, UK. We develop machine learning and computer vision models for the Onfido product lines, in particular fraud detection and data extraction on government IDs and biometrics data. You will work together with a team of … GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning community. Responsibilities: You will contribute to research on Vision Language Models (VLMs) for fraud detection, face matching and document extraction You will work on unique, large-scale image and video datasets and train models on state-of-the … publish and open-source your work You will be part of a vibrant team of 15+ Applied Scientists based in Paris and London Basic Qualifications: Currently enrolled in a Computer Science Master's or PhD degree or a related field Proficiency with a modern deep learning framework (PyTorch or TensorFlow) Ability to write research code in Python Strong communication More ❯

communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com. Our Vision and Values: We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our … Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms. Key Responsibilities Strategic & Technical Leadership Define and lead the AI & Data Science vision and roadmap , aligned with business priorities. Provide technical oversight for AI initiatives across domains: Generative AI & LLMs (fine-tuning, RAG pipelines, multi-agent systems). Predictive Analytics & Time-Series … Modeling . Computer Vision & Multimodal AI . Reinforcement Learning & Optimization . Knowledge Engineering & Semantic Search . Edge AI & Real-Time AI Deployments . Act as the architect and reviewer of AI systems, ensuring scalability, robustness, and compliance. Guide the adoption of MLOps best practices (CI/CD for ML, monitoring, retraining, governance). Drive innovation while balancing pragmatism More ❯