176 to 200 of 398 Deep Learning Jobs in England

tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch … preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale … ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to More ❯

Data Scientist – Vision & Machine Learning for Robotics Location: Leeds (Full-Time, On-Site) Salary: Competitive, Depending on Experience About AssetCool At AssetCool, we develop breakthrough robotic systems to modernise energy infrastructure and accelerate the energy transition. Our robots operate on live power lines, applying advanced coatings to reduce losses and improve reliability—helping utilities upgrade their networks without shutdowns. … a Data Scientist to lead the development of vision and data-processing pipelines for our next-gen robotic systems. You’ll design and prototype image-processing algorithms and machine-learning models, with direct influence over product performance and autonomy. This is a hands-on, applied role where you will bridge data science, AI, and robotics—taking ideas from prototype … to field-tested implementation. Key Responsibilities Develop image-processing & image analysis pipelines: registration, segmentation, classification, object tracking Build, train, and evaluate deep learning models (e.g. CNNs, YOLO) Design data-driven solutions to robotic vision and inspection problems Prototype solutions in Python and/or MATLAB , moving quickly from idea to evaluation Collaborate closely with hardware, software, and deployment More ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors … every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with More ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors … every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with More ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors … every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with More ❯

models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural … deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯

researching, and developing innovative algorithms relevant to the platform. Delivering high-quality, specification-compliant code. Utilizing tools like OpenCV, TensorFlow, and other computer vision libraries. Applying knowledge of machine learning algorithms and neural networks to enhance processing techniques. Producing high-quality design documentation that adheres to software standards for regulated industries. Demonstrating proficiency in computer vision, image processing, and … deep learning methodologies. Conducting tests, code reviews, and other quality assurance activities. Rapid prototyping for proof-of-concept initiatives. Contributing to research and development planning and execution. Supporting intellectual property management and development. Collaborating with external partners as required by leadership. Qualifications Essential Requirements: A master's degree or, preferably, a PhD in a relevant field such as More ❯

Provide thought leadership and mentorship within the team Represent Basecamp Research's AI capabilities at conferences, publications, and collaborations About You (Required): A graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management … Strong publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research projects and translating research into applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms (AWS, Lambda, Azure) Strong problem More ❯

research and production needs Provide thought leadership and mentorship within the team Represent Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong … publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research and translating it into practical applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms like AWS, Lambda, Azure Strong problem More ❯

in data science, Computer Science, Business Analytics or related fields At least 8 - 10 years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands-on experience with AI or More ❯

responsible for building features and designing and implementing new endpoints. This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning NLP technology . Our tech stack … of the company to gather the insights needed for well-rounded solutions. Contribute to the development of the next generation of our Cognitive Skill Builder, collaborating with the Machine Learning team to integrate advanced AI features. Work with the Machine Learning and Data Science teams to bring the latest AutoNLU innovations directly to Studio, empowering customers with powerful More ❯

for models and agents • Conduct code and research reviews, mentor junior engineers, and contribute to technical strategy • 5–8 years of hands-on experience in AI/ML/Deep Learning • Strong coding skills in Python (must), familiarity with Node.js, Go, or Rust is a plus • Proficient with PyTorch or TensorFlow • Deep understanding of transformer architectures, embeddings More ❯

solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point More ❯

solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point More ❯

You are interested in doing research, trying new things and pushing the boundaries, going beyond what's already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python, preferably C++ and Cuda. And you care about writing clean, efficient code. The good stuff Attractive compensation (salary More ❯

About the Role We’re looking for smart and curious individuals from industry and academia to join our client's growing AI Lab and push the boundaries of applied deep learning in trading. On their AI team, you’ll build and train deep learning models that directly power their trading strategies, supported by a massive and … thousands of GPUs; the next, you’re analysing how a model trades in production or designing a new architecture to capture subtle market signals. They will rely on your deep knowledge of deep learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML … and conference travel. Who We’re Looking For We’re open to a range of backgrounds and experiences, but the ideal candidate will have: An advanced degree in machine learning, statistics, applied math, or a related discipline; or equivalent experience in industry applying ML to challenging problems Expertise in one or more of: deep learning, reinforcement learning More ❯

About the Role We’re looking for smart and curious individuals from industry and academia to join our client's growing AI Lab and push the boundaries of applied deep learning in trading. On their AI team, you’ll build and train deep learning models that directly power their trading strategies, supported by a massive and … thousands of GPUs; the next, you’re analysing how a model trades in production or designing a new architecture to capture subtle market signals. They will rely on your deep knowledge of deep learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML … and conference travel. Who We’re Looking For We’re open to a range of backgrounds and experiences, but the ideal candidate will have: An advanced degree in machine learning, statistics, applied math, or a related discipline; or equivalent experience in industry applying ML to challenging problems Expertise in one or more of: deep learning, reinforcement learning More ❯

the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders … growing companies in our space and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join our ML team. The Role We are looking for an experienced Machine Learning Engineer to help us conduct research on the state of the art … The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning. Qualifications The right candidate will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include: Passion for solving More ❯

Machine Learning/Semantic Web - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you only apply if you are available to start within 1 month of accepting the role. This means unfortunately visa … particularly in vision and cognitive support. Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions for homes and businesses. Main Responsibilities: Develop and optimize machine learning models for disease prediction and early diagnosis. Process and analyze structured and unstructured health data - Implement deep learning for predictive healthcare applications. Contribute to the research on … AI-driven user personalization for visually impaired individuals. Develop AI-powered accessibility solutions. Ensure compliance with data privacy and ethical AI guidelines. Essential: Machine learning & deep learning - Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn. Strong skills in Python, experience with R or JavaScript is a plus. Experience with Health data processing - HER, FHIR, Wearable sensor data. Knowledge More ❯

We're looking for an experienced Computer Vision and Machine Learning Engineer to join an innovative project focused on AI-driven content reconstruction and creation. This is a great opportunity to work at the intersection of advanced computer vision, machine learning, and 3D image processing. Hybrid working: Three days onsite and two days remote per week. Key Responsibilities … and editing. Evaluate state-of-the-art academic and industry research, turning cutting-edge ideas into functional prototypes. Design and implement high-performance software and algorithms for image processing, deep learning, and 3D reconstruction. Own technical development for major components of the system, ensuring scalable and maintainable code. Collaborate with cross-functional teams to define requirements and translate … them into robust engineering solutions. Required Skills & Experience Master's degree or higher in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related field. Strong professional experience coding in modern C++ (advanced level). Practical expertise with GPU programming, specifically using CUDA or OpenCL. Solid background in debugging, optimization, and performance tuning. Clear communicator with a collaborative and More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial … AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. You More ❯

Join us at the heart of the Kumo Graph Neural Network and Relational Deep Learning architecture, where you'll play a pivotal role in shaping and expanding its capabilities. You'll drive innovative designs that enhance our GNN backbone and integrate cutting-edge temporal learning strategies. Your work will bridge the gap between foundational models and GNNs … tackling diverse use cases like recommendation systems, customer retention, forecasting, and fraud detection. Leverage your expertise in machine learning and AI to solve critical challenges, creating scalable and adaptable solutions that push the boundaries of what's possible. Get ready to make a significant impact in a dynamic and exciting environment! Your Foundation: You want to solve real-world … problems and get things done. Ph.D. in Computer Science or Machine Learning or related technical discipline, or related practical experience. 3+ years experience in designing ML algorithm solutions 2+ graph-based machine learning papers at top venues such as NeurIPS, ICLR, ICML, etc Well experienced in Python and its deep learning framework ecosystem, such as PyTorch More ❯

a newly established Data Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Salary: £70,000 to … + Benefits Interview Process: 4 Stages To be considered: Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP. Minimum One year of experience designing and implementing LLM Solutions. Expertise in building production pipelines, using Python. Excellent communication skills, both written and verbal. Prior experience working in healthcare. This More ❯

a newly established Data Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Salary: £70,000 to … + Benefits Interview Process: 4 Stages To be considered: Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP. Minimum One year of experience designing and implementing LLM Solutions. Expertise in building production pipelines, using Python. Excellent communication skills, both written and verbal. Prior experience working in healthcare. This More ❯

and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each … Experience in cloud architecture and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Proven track record in defining and developing end-to-end Machine Learning, Deep learning and Generative AI solutions, from conception to deployment Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable … AI solutions - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication More ❯