1 to 25 of 436 Computer Vision Jobs in London

to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers … e.g., DevOps pipelines, Git actions). Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles). Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably More ❯

strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to … strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to … complex concepts to both technical and non-technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelor’s or Master’s in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) ⸻ Preferred More ❯

strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to … complex concepts to both technical and non-technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelor's or Master's in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) Preferred … experience in a stealth-mode or early-stage startup, ideally taking an AI product from 0 - 1. Background in a relevant domain (eg, healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP). Hands-on experience with large-scale language models (LLMs) and prompt engineering (eg, GPT, BERT, T5 family). Familiarity with on-device or edge More ❯

solutions, ensuring continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: · Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. · Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade … advanced deep learning architectures. · Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. · Solid understanding of foundational statistics and experimental design. · Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. BASIC QUALIFICATIONS - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques. … Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques More ❯

s extensive data sources. This includes co-defining labelling processes according to the developed KG and coordinate with domain experts that will perform the labelling. Select and fine-tune computer vision models leveraging the developed datasets to identify and classify elements. This includes being able to leverage existing models/architectures, or develop new architectures, depending on the … and Experience: The Machine Learning and R&D Engineer (KTP Associate) will hold a relevant degree. The candidate should have a good first degree and post-graduate degree in Computer Science or Data Science, or a related discipline, excellent programming skills, good communication skills and experience of successfully working as part of a team. We expect the post holder … to have the following requirements: Essential: Minimum of 2.1 and ideally a Master's degree in Computer Science, Data Science, or a related field (e.g., artificial intelligence), or equivalent industry experience. Ability to perform literature review, understanding scientific papers, drawing insights and ideas for implementation. Having previous publications is a plus. Experience in designing, developing, and implementing computer More ❯

clients to understand their business needs and translate them into technical requirements Design, develop, and deploy machine learning and generative AI models, including but not limited to NLP models, computer vision models, and reinforcement learning systems Conduct research and stay updated on the latest advancements in AI and machine learning technologies, particularly in generative models such as GANs … plans, progress reports, and final presentations Participate in client meetings and workshops to showcase AI capabilities and provide thought leadership on AI strategies Requirements Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Proven experience (3+ years) in machine learning and generative AI, with a strong portfolio of projects involving models like GANs More ❯

ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques. … Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques More ❯

version control, and code optimization. Excellent communication and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out A track record of successfully leading … Engineer for Game Technology London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago Data Scientist (Applied Machine Learning) London, England, United Kingdom 1 month ago London More ❯

features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or Transformer-based models. Model Deployment & MLOps Integrate CI/CD pipelines for ML models using platforms like MLflow, Kubeflow More ❯

operations. You'll leverage technologies such as process mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural language processing where they provide strategic value. Beyond our customer-facing products, you'll drive internal operational excellence by developing … enhance efficiency across departments. You'll treat internal teams as valued clients, designing solutions that automate workflows and empower colleagues to work more effectively. This strategic role bridges product vision and technical implementation. You'll collaborate with subject matter experts to identify high-impact opportunities, design appropriate and scalable AI architectures, and work with engineering teams to bring these … Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing) for enterprise environments Knowledge of advanced AI agent frameworks and architectures such as ReAct for building more effective autonomous agents for complex More ❯

systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelor's degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular … understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with a US company, you will gain access to the US Market Provides career pathways outside More ❯

ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular … understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with a US company, you will gain access to the US Market Provides career pathways outside More ❯

Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML … Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software development methodologies • Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills: • Good More ❯

performance. Inclusive Culture: Promote an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. … Domain Expertise: Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem More ❯

including automated testing, source version control, and code optimization. Excellent communication and collaboration skills to interact with technical teams, business partners, and stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). . What Would Make You Stand Out A track record of successfully … Kingdom 2 weeks ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 weeks 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 3 months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week More ❯

Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data structures, algorithms, and statistics. Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models. Knowledge of MLOps tools and More ❯

driven Applied Scientist with a strong background in AI and Deep Learning? Join Amazon's AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision, Generative AI, and foundational models. As part of the AWS Multimodal generative AI science team, you'll lead innovative research projects, develop state-of-the-art algorithms … keeping Amazon at the forefront of innovation. Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence. BASIC QUALIFICATIONS Ph.D. or Master's in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. More ❯

analytics to competition and finance cases. Mentor junior team members, conducting advanced training sessions and develop sophisticated tools to enhance how economists works with data. Master’s degree in computer science, applied mathematics, statistics, machine learning, economics, or operations research 4+ years of professional data science experience, with a proven track record of translating business problems into data science … e.g. MongoDB) and Deep understanding and hands-on experience with a variety of data science tools and concepts, such as machine learning, causal inference, optimisation, natural language processing and computer vision Experience with cloud computing platforms (Azure, AWS, GCP) and containerization (Docker) Knowledge of data engineering principles such as data modelling, ETL processes, and data pipelines Have strong More ❯

problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills — with teams and customers alike MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing; High-performance computing … GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container-ization and orchestration (Docker, Kubernetes, Slurm More ❯

of experience across different roles • Understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service • Experience with computer vision algorithms and libraries such as OpenCV, TensorFlow, Caffe or PyTorch. • Technical expertise, experience in Data science and ML Our inclusive culture empowers Amazonians to deliver the best More ❯

explore emerging problem spaces, and create new knowledge. You will invent and apply state-of-the-art technologies, such as large language models, machine learning, natural language processing, and computer vision, to build next-generation solutions for Amazon. You'll publish papers, file patents, and work closely with engineers to bring your ideas to production. About the team … This is a critical role for Amazon Autos team with a vision to create innovative automotive discovery and shopping experiences on Amazon, providing customers better convenience and more selection. We're collaborating with other experienced teams at Amazon to define the future of how customers research and shop for cars online. BASIC QUALIFICATIONS - 3+ years of building models for … distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - 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 ❯

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 ❯

Python (including libraries like Scikit-learn) and SQL, with solid experience in relational databases Good knowledge and experience of the broader data science domains, especially large language models or computer vision models used for anomaly detection A track record in deploying machine learning pipelines using tools such as Airflow, SageMaker Pipelines or similar A talent for clean coding … Kingdom 2 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago Senior Machine Learning Engineer, Pricing London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago London More ❯