1 to 25 of 782 Permanent Deep Learning Jobs in England

being direct, humble, collaborative, and inclusive of diverse perspectives. Sr. SOFTWARE DEVELOPMENT ENGINEER THE ROLE: AI Software development engineer on teams building and optimizing Deep Learning applications and AI frameworks for AMD GPU compute platforms. Work as part of an AMD development team and open-source community to … analyze, develop, test and deploy improvements to make AMD the best platform for machine learning applications. THE PERSON: Strong technical and analytical skills in C++ development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope … and lead your own development effort. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models: Design and optimize More ❯

being direct, humble, collaborative, and inclusive of diverse perspectives. Sr. SOFTWARE DEVELOPMENT ENGINEER THE ROLE: AI Software development engineer on teams building and optimizing Deep Learning applications and AI frameworks for AMD GPU compute platforms. Work as part of an AMD development team and open-source community to … analyze, develop, test and deploy improvements to make AMD the best platform for machine learning applications. THE PERSON: Strong technical and analytical skills in C++ development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope … and lead your own development effort. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models: Design and optimize More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning … environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community. Develop state More ❯

Machine Learning Researcher/Deep Learning/World Leader Machine Learning Researcher required in London or Cambridge area to join a world leading organisation with a highly reputable Machine Learning/Deep Learning team. You will have come from an exceptional academic background … and be well published in Machine Learning and Deep Learning research looking to work on the forefront of what is possible in AI/Machine Learning Research. Any exposure in Reinforcement Learning , LLM's are all beneficial as well as any exposure to electronics and … semiconductors market. What's most important is someone with a real mind and determination for achieving something that's never been done before. Machine Learning Researcher/Deep Learning/World Leader More ❯

Machine Learning Researcher/Deep Learning/World Leader Machine Learning Researcher required in London or Cambridge area to join a world leading organisation with a highly reputable Machine Learning/Deep Learning team. You will have come from an exceptional academic background … and be well published in Machine Learning and Deep Learning research looking to work on the forefront of what is possible in AI/Machine Learning Research. Any exposure in Reinforcement Learning , LLM's are all beneficial as well as any exposure to electronics and … semiconductors market. What's most important is someone with a real mind and determination for achieving something that's never been done before. Machine Learning Researcher/Deep Learning/World Leader More ❯

Machine Learning Researcher/Deep Learning/World Leader Machine Learning Researcher required in London or Cambridge area to join a world leading organisation with a highly reputable Machine Learning/Deep Learning team. You will have come from an exceptional academic background … and be well published in Machine Learning and Deep Learning research looking to work on the forefront of what is possible in AI/Machine Learning Research. Any exposure in Reinforcement Learning , LLM's are all beneficial as well as any exposure to electronics and … semiconductors market. What's most important is someone with a real mind and determination for achieving something that's never been done before. Machine Learning Researcher/Deep Learning/World Leader More ❯

Machine Learning Researcher/Deep Learning/World Leader Machine Learning Researcher required in London or Cambridge area to join a world leading organisation with a highly reputable Machine Learning/Deep Learning team. You will have come from an exceptional academic background … and be well published in Machine Learning and Deep Learning research looking to work on the forefront of what is possible in AI/Machine Learning Research. Any exposure in Reinforcement Learning , LLM's are all beneficial as well as any exposure to electronics and … semiconductors market. What's most important is someone with a real mind and determination for achieving something that's never been done before. Machine Learning Researcher/Deep Learning/World Leader More ❯

Grenoble IDEX. Application Instructions Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian … learning provides a theoretically sound framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State … of the Art The field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are More ❯

We are looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role … focuses on developing conversation-based, multimodal shopping experiences, utilizing multimodal large language models (MLLMs), generative AI, advanced machine learning (ML) technologies and computer vision. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping … We do this by pushing the SoTA in Natural Language Processing (NLP), Generative AI, Multimodal Large Language Model (MLLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation (RAG), Computer Vision, Responsible AI, LLM Agents, Evaluation, and Model Adaptation. Key job responsibilities As an Applied Scientist on our More ❯

with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes … the globe. As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at … with management and partner teams to design and implement solutions in recommender systems for given objectives. Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly. Autonomously find solutions to complex problems in social network recommendations and understand the More ❯

Applied Scientist to sit within a newly formed AI Innovation team. This role will be fundamental in supporting the platform in integrating pioneering machine learning technology to prevent fraud and financial crime. The AI Innovation team will be responsible for pioneering our next wave of fraud and financial crime … machine learning models. Think Deep Learning auto regressive models on Tbs of transaction data or innovating on our current anti-money laundering approaches using graphical neural networks/deep anomaly detection models. We are seeking a candidate with a genuine passion in the field of Deep Learning with particular expertise in building large scale Deep Learning solutions. In this role within the AI Innovation team, you would be responsible for Using your skills to create ML models with an economic crime focus, pushing the boundary of what is currently possible by embracing More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their … please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of physical systems … using state-of-the-art machine learning and deep learning techniques. Own research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Collaborate with colleagues beyond the More ❯

Job Title: Deep Learning Engineer – Medical Imaging (Remote, Europe preferred) Location: Remote (Europe preferred), with occasional travel to the UK if needed Salary: £60,000–£95,000 GBP equivalent, depending on experience About the Opportunity: We’re supporting an ambitious clinical technology company who are building a next … on transforming clinical outcomes through AI-based imaging interpretation . You’ll be joining at the ground floor — helping to design, build, and deploy deep learning models (not just apply pre-trained ones) for medical-grade use cases. The Role: You’ll work closely with AI researchers, software … engineers, and clinicians to: Build, train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.) Work with CBCT, MRI, and other DICOM imaging modalities Contribute to research papers, validation studies, and clinical trials Optimise models for inference (using tools like TensorRT, mixed precision, quantisation More ❯

Job Title: Deep Learning Engineer – Medical Imaging (Remote, Europe preferred) Location: Remote (Europe preferred), with occasional travel to the UK if needed Salary: £60,000–£95,000 GBP equivalent, depending on experience About the Opportunity: We’re supporting an ambitious clinical technology company who are building a next … on transforming clinical outcomes through AI-based imaging interpretation . You’ll be joining at the ground floor — helping to design, build, and deploy deep learning models (not just apply pre-trained ones) for medical-grade use cases. The Role: You’ll work closely with AI researchers, software … engineers, and clinicians to: Build, train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.) Work with CBCT, MRI, and other DICOM imaging modalities Contribute to research papers, validation studies, and clinical trials Optimise models for inference (using tools like TensorRT, mixed precision, quantisation More ❯

Job Title: Deep Learning Engineer – Medical Imaging (Remote, Europe preferred) Location: Remote (Europe preferred), with occasional travel to the UK if needed Salary: £60,000–£95,000 GBP equivalent, depending on experience About the Opportunity: We’re supporting an ambitious clinical technology company who are building a next … on transforming clinical outcomes through AI-based imaging interpretation . You’ll be joining at the ground floor — helping to design, build, and deploy deep learning models (not just apply pre-trained ones) for medical-grade use cases. The Role: You’ll work closely with AI researchers, software … engineers, and clinicians to: Build, train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.) Work with CBCT, MRI, and other DICOM imaging modalities Contribute to research papers, validation studies, and clinical trials Optimise models for inference (using tools like TensorRT, mixed precision, quantisation More ❯

Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data … to ensure the quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network … Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems into More ❯

Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data … to ensure the quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network … Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems into More ❯

Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data … to ensure the quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network … Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems into More ❯

Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data … to ensure the quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network … Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems into More ❯

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid We are looking for a Senior Machine Learning Engineer to help deliver new experiences and insights to coaches, athletes, and fans across all levels of sport. In this role, you’ll lead impactful projects … using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. Project Leadership : Take ownership of … culture of trust and support that allows you to own your work and explore new ideas. Career Growth : Access to development opportunities, resources, and learning programs. Tech-Enabled Work : Whether remote or on-site, we provide the tools and environment you need to thrive. Wellbeing Support : Resources to support More ❯

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid We are looking for a Senior Machine Learning Engineer to help deliver new experiences and insights to coaches, athletes, and fans across all levels of sport. In this role, you’ll lead impactful projects … using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. Project Leadership : Take ownership of … culture of trust and support that allows you to own your work and explore new ideas. Career Growth : Access to development opportunities, resources, and learning programs. Tech-Enabled Work : Whether remote or on-site, we provide the tools and environment you need to thrive. Wellbeing Support : Resources to support More ❯

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid We are looking for a Senior Machine Learning Engineer to help deliver new experiences and insights to coaches, athletes, and fans across all levels of sport. In this role, you’ll lead impactful projects … using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. Project Leadership : Take ownership of … culture of trust and support that allows you to own your work and explore new ideas. Career Growth : Access to development opportunities, resources, and learning programs. Tech-Enabled Work : Whether remote or on-site, we provide the tools and environment you need to thrive. Wellbeing Support : Resources to support More ❯

imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. As a member of the AI Lab … in Autodesk Research you will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning , computer vision, reinforcement learning, information retrieval, and natural language processing. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR … related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Publication track record in machine learning conferences and/or journals Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. … and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g. … hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. … and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g. … hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries More ❯