51 to 75 of 105 Deep Learning Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

production-ready applications across AI development tools, QA systems, and assistant use-cases Contribute to core algorithm development and support product scaling initiatives Key Requirements: PhD in NLP, Machine Learning, Knowledge Engineering, or related fields 3+ years of experience in at least one of: Knowledge technologies (RDF, SPARQL, OWL, SKOS); NLP (LLMs, entity detection, question answering, agent systems); Deep learning (transformers, LSTM, etc.) 2+ publications in top-tier conferences (e.g., ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI) Strong coding and software design skills Experience working across research and applied development in a collaborative environment Keywords: Knowledge Graphs/LLMs/Semantic Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers …/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If you are interested in this Research Engineer position, please send a CV to ts@eu-recruit.com By applying to this role you understand that we may collect your personal data More ❯

equivalent experience) is required. Additional Qualifications Experience programming in MATLAB, Python, Javascript, C++ and/or Java Expertise developing algorithms in areas such as signal processing, image processing, machine learning, deep learning and/or control Interest in software architecture, web technologies, and enterprise integration patterns Strong communication and presentation skills Most travel will be More ❯

New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Machine Learning Engineer job: Train and … Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills/experience required for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training … at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be beneficial This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge, Cambridgeshire. Candidates must live within 1 hour of Cambridge and be More ❯

to satisfy our customers' all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark … billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale. We are looking for a Senior Manager, Applied Science to tackle ambiguous problems … in the areas of data processing, machine learning algorithms and distributed systems of cloud-scale. You are expected to take ownership, dive deep and drive solutions from developing prototypes, doing experiments, design to coding, testing and deployment. The role demands innovation and expects you to push the boundaries. You will get opportunity to work with many tech teams More ❯

and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. Publish research … results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image More ❯

of GPU, AI accelerator, and optical computing trends; propose and prototype innovations. Skills & Experience 5+ years of experience in software engineering with a focus on C/C++ programming. Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques. Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models. Deep expertise … with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving skills and the ability to think critically and creatively. Experience in high-pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams. Bachelor's degree in computer More ❯

Strong command of Python and related frameworks and libraries with good experience of at least one other language (C++, Java, Julia, R, Matlab, JS frameworks) Excellent understanding of machine learning theory and related mathematical principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning … well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user-friendly interfaces for applied machine learning applications What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well More ❯

a climate tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline for textile and fibre detection and are currently refining … our system ready for piloting and deployment. This role is a unique opportunity for engineers who are passionate about AI, sustainability, and solving complex problems, with experience in deep tech integration. We are seeking individuals who are excited about working in an early stage startup environment, where resilience and problem solving are key and where challenges are seen as … and optimise imaging hardware, including illumination systems, hyperspectral near-infrared (NIR) and RGB cameras. Design and prototype cost-effective and scalable vision hardware system solutions. Support integration of machine learning models with imaging hardware and Edge processing. Work on automation aspects of the textile sorting system. Conduct real world testing and refine hardware build and hardware/software integration. More ❯

our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in the machine … learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A … Free mental health coaching provided online Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more Our open and transparent culture is More ❯

role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal … reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing More ❯

role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal … reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing More ❯

engineering with a focus on C/C++ programming. Extensive experience in ML framework internals, compilers, low-level programming, and optimisation techniques. Extensive experience optimising Tensorflow, PyTorch or JAX deep learning models. Extensive experience with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving More ❯

subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference and interpret the results is an advantage . Key Responsibilities: Work with … positive and enthusiastic attitude. A strong customer and real-world focus and a desire to see their solutions working in a production environment. Desirable A good understanding of Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models. Experience with Deep Learning frameworks … acceleration and optimisation Why Join Us? Be part of a passionate, talented team in a collaborative environment. Work on innovative projects that make a global impact. Opportunities for continuous learning and professional growth . Competitive salary and benefits package. Enjoy work model that balances flexibility with team interaction. More ❯

subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference and interpret the results is an advantage . Key Responsibilities: Work with … positive and enthusiastic attitude. A strong customer and real-world focus and a desire to see their solutions working in a production environment. Desirable A good understanding of Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models. Experience with Deep Learning frameworks … acceleration and optimisation Why Join Us? Be part of a passionate, talented team in a collaborative environment. Work on innovative projects that make a global impact. Opportunities for continuous learning and professional growth . Competitive salary and benefits package. Enjoy work model that balances flexibility with team interaction. More ❯

to succeed. Ready? It's time to do your thing. Who you'll be working with: We're looking for a hands-on Data Scientist to develop and deliver deep learning-powered features supporting insurance pricing and product innovation at Liberty Mutual. This role focuses on building robust, scalable feature pipelines-especially from complex data sources like aerial … imagery-and bringing them into production to solve real business problems. You'll work with a small, high-performing team to turn deep learning models into practical, production-ready features used across multiple insurance products. If you have experience in computer vision, scaling data science solutions, and delivering tangible business value, this is an exciting opportunity to contribute … Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation. What you'll be doing: Research and develop solutions to complex business problems, working with large, unstructured datasets. Apply various exploratory data analysis More ❯

update databases to ensure data accuracy and completeness. Develop and manage data collection scripts and automation tools. Data Analysis and Modeling Analyse cryptocurrency market data using statistical and machine learning methods to identify market trends and patterns. Develop and optimise quantitative trading strategy models, including price prediction models, risk management models, and arbitrage models. Perform backtesting and simulations to … Research and Innovation Stay abreast of the latest developments in cryptocurrency and blockchain technology, researching emerging markets and financial products. Explore and apply new technologies and methods, such as deep learning and blockchain analysis, to enhance analysis and trading efficiency. Participate in technical discussions and workshops, continuously learning and improving professional skills. Reporting and Communication Prepare analysis More ❯

productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has … can better serve our diverse customer needs. This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal … and external) that improves our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also manage projects of medium complexity. Job Description Key responsibilities: Uses best practices to develop statistical, machine learning techniques More ❯

in the EU Headquarters in Luxembourg (alternatively: Barcelona or Berlin or London), designed to maximize interaction with the team and stakeholders. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead complex time-bound, long-term … in leadership to invest in programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization … and approximation algorithms. We use deep learning, bandits, and reinforcement learning to put data into the loop of decision making. We like to learn new techniques to surprise business stakeholders by making possible what they cannot anticipate. For this reason, we work closely with Amazon scholars and experts from Academic institutions. We code our prototypes to be More ❯

Avanti Recruitment have partnered with an exciting AI company in Central Cambridge, who are looking for a Machine Learning Engineer to join their growing team. You’ll be joining their cutting-edge AI team to develop and deploy state-of-the-art ML models that power real-world applications. You’ll work on groundbreaking AI solutions, such as low … latency speech recognition systems and LLMs. You’ll need: A strong educational background, with some focus on ML/Deep Learning Experience using machine learning frameworks like PyTorch or Tensorflow Experience training machine learning models for production applications A background in handling multi-Terabyte datasets On offer are great salary and benefits, as well as hybrid More ❯

We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do … research in the area of deep generative models, e.g., diffusion, energy based, normalizing flow or transformer-based models. With a focus on the particular domain of molecules. The project will contribute to accelerate the drug discovery process, leading to more economic and effective drugs that can significantly improve the health and lifestyle of millions. The resulting methods are also … expected to have an impact in materials science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato and Prof. Mark Girolami and other members of the Cambridge Machine Learning Group ( ). The project offers also collaborations with More ❯

University Assistant Professor in Machine Learning 2025-02-26 Cambridge The successful candidate will contribute to research and teaching in Information Engineering, developing an independent research portfolio, securing grants, and mentoring students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd and 4th-year modules in machine learning, computer vision, and … four years of the undergraduate course, with an emphasis on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machine learning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep Learning and Structured Data (4F10), Computer Vision … 4F12), and Probabilistic Machine Learning (4F13). There will also be opportunities to teach courses and supervise students on the graduate level MPhil in Machine Learning and Machine Intelligence. Teaching duties are reviewed annually to ensure a fair allocation of load. More ❯