1 to 25 of 121 Deep Learning Jobs in the UK excluding London

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 ❯

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 ❯

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid We are seeking an Engineering Manager to join our Applied Machine Learning team , focused on delivering innovative experiences and insights for coaches, athletes, and fans. This role leads high-impact initiatives using advanced computer … vision and deep learning technologies at scale—powering sports experiences from elite organizations to local communities. Key Responsibilities Deliver Results : Independently manage a multidisciplinary team of 5 to 10 Engineers and Data Scientists. Drive progress toward quarterly and annual goals, while ensuring high-impact outcomes for users and … and monitoring complex AI/ML systems operating in production at scale. Technical Proficiency : Strong experience in several of the following domains: Classical and deep learning-based computer vision Multi-view geometry GPU-accelerated computing Edge inference Large language models (LLMs) Real-time systems Signal processing Excellent Communication 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 ❯

insights. Our ownership ranges from innovative idea inception through POC, to its implementation within customer facing products. Development includes working with cutting edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types and … data scientists, ML engineers, backend, and frontend developers. Your day will have a mixture of all domains: data pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.). Preferred skills … a leading university, or equivalent experience. Applied experience in Time-Series Forecasting including in production environment. Theoretical knowledge in other data science domains - Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc. Developing and design capabilities (Python), understanding of object-oriented programming. Experience 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 ❯

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 Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The … 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 Researcher | Deep Learning | Graph Neural Networks | Python | PyTorch About Us We are a growing techbio start-up based in London, UK, developing advanced AI technologies for drug discovery, and backed by leading European and US DeepTech venture capital firms. Our mission is to design small … the most challenging human diseases. Responsibilities Lead and manage multiple complex scientific projects to advance the organization’s goals. Plan, build, and evaluate machine learning pipelines for small molecule drug discovery, including the development of novel ML architectures. Train and assess ML-based interatomic potentials and integrate them with … a strong ML for science focus; OR a Master’s degree plus 3+ years of relevant industry experience. Demonstrated track record in developing machine learning models and graph neural networks for 3D atomic systems. Experience working with machine-learned potential energy surfaces. Proficiency with ML frameworks such as PyTorch More ❯

Job Title: Machine Learning Research Scientist Location: Cambridge/Hybrid Salary: £depending on experience + benefits Company Overview: Our client is a pioneering machine learning and artificial intelligence software house, renowned for developing some of the most advanced technologies in the AI domain. The team is composed of … mathematicians, engineers, and is led by experienced entrepreneurs known for creating award-winning tech companies. Job Description: We are seeking a highly skilled Machine Learning Research Scientist to join our innovative team. The ideal candidate will have a PhD in a mathematical, scientific, engineering, or computing subject from a … international university, with an outstanding academic background and the highest pass marks. Key Responsibilities: * Conduct cutting-edge research in the fields of Computer Vision, Deep Learning, Machine Learning, Artificial Intelligence, or Natural Language Processing. * Develop and implement advanced machine learning models and algorithms. * Work with large More ❯

product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at … career and the solutions we deliver for our clients. As a Customer Data Modelling Consultant, you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to … identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced More ❯

product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at … and the solutions we deliver for our clients. As a Data Science Consultant Architecture focus, you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to … identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced More ❯

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle … from data preprocessing to model deployment. Duties and Responsibilities Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques. Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation. Algorithm … Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such as DevOps/Git. Soft Skills: Problem Solving: Strong analytical and problem-solving skills, with More ❯

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior Machine Learning Engineer. You will join an innovative technology company at the forefront of machine learning and artificial intelligence solutions. As a Senior Machine Learning Engineer, you'll be … part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. As a key member of our team, you will … work on challenging projects, leveraging your expertise in machine learning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning More ❯

engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. Our goal is to enable seamless reasoning and customer experiences that surpass previous machine learning models. We seek a passionate, talented, and resourceful Applied Scientist specializing in Natural Language Processing (NLP), Recommender Systems, and/or Information Retrieval. The … involves inventing and building scalable solutions for a state-of-the-art context-aware speech assistant. The ideal candidate will have a strong machine learning background and a desire to innovate in these areas. They should enjoy working in dynamic environments, be self-motivated to tackle challenging problems, and … novel algorithms that enable timely, relevant, and delightful recommendations and conversations. Your work will directly influence our customers through products and services utilizing machine learning, deep learning, and language model technologies. You will leverage Amazon's diverse data sources and large-scale computing resources to advance the More ❯

data engineers, product teams, and software engineers to integrate ML solutions into proprietary leading-edge fintech applications. Research and implement state-of-the-art deep learning, reinforcement learning, and transformer-based NLP models (e.g., BERT, GPT). Monitor model performance and security, retrain models as necessary, and … adoption. Hire, mentor and support junior ML engineers, fostering engineering excellence, knowledge-sharing and best practices within the team. Requirements Strong background in Machine Learning, Deep Learning, and NLP Experience with transformer models (BERT, GPT, LLaMA, etc.) Proficiency in SQL, Python and ML libraries such as TensorFlow … accessible across the business Colleague Benefits Share options. 23 days annual leave, plus one for each year served (capped at 28). Birthday leave. Learning & development budget/time allocation Flexible start & finish hours 06:30 - 10:30 am Life assurance at 5x salary Health cash plan Virtual GP More ❯

Science leads the development and deployment of medical safety data models into production. This role plays a pivotal part in advancing AI/Machine Learning (ML) capabilities within the Global Medical Safety organization by developing ground breaking solutions and leading projects that deliver measurable business impact. Collaborates closely with … needs, define success metrics, and deliver impactful solutions Research, develop, and validate analytical models using leading AI/ML techniques, including supervised and unsupervised learning, deep learning, GenAI and natural language processing (NLP) Evaluate and integrate new data sources, emerging tools, and sophisticated analytics methodologies to transform … leading projects and project teams Healthcare or pharmaceutical experience is preferred Skills: Proficiency in Python and SQL for data manipulation, analysis, and model development Deep experience with machine learning models and techniques (supervised, unsupervised, deep learning, LLMs, etc.) Hands-on expertise in deploying models using MLOps 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 … 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. … 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 More ❯

Machine Learning Engineer – Globally established entertainment company Salary: £90,000–£100,000 (can stretch to £110,000 for the right person) Location: London (Hybrid – 1–2 days per week in-office) Join a tech-first team modernising the way entertainment is brought to life. Work across innovative deep learning and exciting projects within the Gen AI, software, 3D and computer vision space. ROLES AND RESPONSIBILITIES Work closely with a high-impact, global team of 4 Gain exposure and work hands-on across deep learning projects, as well as innovative AI (e.g 3D, Computer Vision … Gen AI etc.) Join a company looking to modernise machine learning applications and AI while still giving control to creatives REQUIREMENTS ✅ 2+ years hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in More ❯

programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and/or … filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian … inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be More ❯

Job Title: Machine Learning Engineer Location: London 1-2 days a week Salary: £90,000-£110,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the … intersection of deep learning, computer vision, and real-time 3D systems . This is a chance to push the boundaries of digital human performance, runtime tracking, and facial capture—projects that directly power high-end experiences. You’ll collaborate closely with a world-class VFX team, helping automate … building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D More ❯

agriculture transform through advanced artificial intelligence solutions. As a Data Scientist specialising in Computer Vision, you'll play a pivotal role in developing machine learning products that redefine what AI can achieve across diverse industries. Why You Should Apply Be part of a revolutionary AI startup shaping the future … Collaborate with experts across business, product, and engineering teams Contribute directly to deploying AI solutions with enterprise clients What You’ll Be Doing Develop deep learning models for a range of computer vision tasks Define and implement assessment criteria to measure solution performance Stay on top of and … apply recent advancements in deep learning and computer vision Support and maintain our suite of machine learning products About You Demonstrable experience with Computer Vision Skilled in deep learning algorithms applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer More ❯

agriculture transform through advanced artificial intelligence solutions. As a Data Scientist specialising in Computer Vision, you'll play a pivotal role in developing machine learning products that redefine what AI can achieve across diverse industries. Why You Should Apply Be part of a revolutionary AI startup shaping the future … Collaborate with experts across business, product, and engineering teams Contribute directly to deploying AI solutions with enterprise clients What You’ll Be Doing Develop deep learning models for a range of computer vision tasks Define and implement assessment criteria to measure solution performance Stay on top of and … apply recent advancements in deep learning and computer vision Support and maintain our suite of machine learning products About You Be able to do the job as described Skilled in deep learning algorithms applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers More ❯

Postdoctoral Research Associate in Machine Learning - Durham The RoleThe successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as … systems.Collaboration with our European partners is anticipated, and the successful candidate will be encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world tests in diverse aquatic environments, necessitating More ❯