151 to 175 of 1,079 Deep Learning Jobs in England

offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us … their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems. Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or … fully-fledged solutions while collaborating closely with domain experts. Help transition from development environment to production. Act as a subject matter expert in data science and machine learning and coach other data scientists. Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and More ❯

Job ID: AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for … ML systems to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

models and solutions, including LLMs and GenAI. Performing feature engineering and selection to optimize model performance. Selecting and implementing appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Training, evaluating, and optimizing models using machine learning and statistical techniques. Conducting extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. … have: 5+ years of experience in AI/ML development. Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Must Have: Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Ability to … 2x Get notified about new Artificial Intelligence Engineer jobs in Stevenage, England, United Kingdom . Cambridge, England, United Kingdom 1 week ago Cambridge, England, United Kingdom 5 days ago Deep Learning AI Engineer/Bioinformatics - Expression of Interest Cambridge, England, United Kingdom 4 days ago Cambridge, England, United Kingdom 1 week ago Luton, England, United Kingdom 4 days More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

deliver life-changing science to solve some of humanity’s greatest challenges. We seek a Senior or Principal Data Scientist to deliver a project at the intersection of machine learning and biology at Wellcome Sanger Institute. The position is for a two year fixed term contract working on a project funded by Open Targets within Mo Lotfollahi's team … understanding of the training of large-scale ML models and a track record of undertaking large data-science projects. What you'll be doing: Independently manage and lead machine learning projects and write outcomes in a scientific publication for submission to journals or machine learning conferences (ICLR, ICML, CVPR, etc). Be responsible for the design of machine … learning tools according to requirements specified by the scientific leadership of the group. To communicate the results through other relevant means, for example, presenting posters at international scientific meetings and meetings with collaborators Collaborate with team members to propose, develop, and evaluate new machine learning models that enable understanding single-cell data and its application in drug discovery More ❯

reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value … their research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. - Collaborate … expanding our remit to consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning More ❯

Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to … training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. … the product as you go. Requirements: - A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real More ❯

meet you. Role Overview We're looking for a skilled and curious AI Engineer to join our growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life … complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications … ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the More ❯

Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. Take ownership of end-to-end ML model development—from data preprocessing and feature engineering to … training, testing, and deployment. Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it—constantly looking for ways to enhance performance. Quickly analyze data and generate insights to drive product decisions. … the product as you go. Requirements: A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real More ❯

to work on diverse projects, ranging from topic modelling and entity recognition to text generation and conversational AI. This role requires strong technical skills, a solid foundation in machine learning, and a passion for solving complex NLP problems. Salary Information Pay: Circa £75,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary … to extract insights from unstructured text data. Collaborate closely with data engineers to pre-process and clean text data, ensuring data quality and compatibility with NLP models. Apply machine learning and deep learning techniques to tasks such as sentiment analysis, text classification, entity recognition, named entity recognition, and text generation. Build and leverage knowledge graphs to enhance … Addlestone, England, United Kingdom 5 days ago Senior Manager, Real-World Data Science (RWDS) Addlestone, England, United Kingdom 6 days ago Putney, England, United Kingdom 1 week ago Machine Learning Engineer/Researcher - 2025 Programme Reading, England, United Kingdom 1 week ago Wembley, England, United Kingdom 4 days ago Senior Analyst - Data Insights & MI - Vehicle Finance Petersfield, England, United More ❯

to work on diverse projects, ranging from topic modelling and entity recognition to text generation and conversational AI. This role requires strong technical skills, a solid foundation in machine learning, and a passion for solving complex NLP problems. Salary Information Pay: Circa £75,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary … to extract insights from unstructured text data. Collaborate closely with data engineers to pre-process and clean text data, ensuring data quality and compatibility with NLP models. Apply machine learning and deep learning techniques to tasks such as sentiment analysis, text classification, entity recognition, named entity recognition, and text generation. Build and leverage knowledge graphs to enhance More ❯

required. Recent work experience in a healthcare/life science organization is considered an asset. Other skills we are searching for are: Programming Skills: Proficiency in Python, data analytics, deep learning (Scikit-learn, Pandas, PyTorch, Jupyter, pipelines), and practical knowledge of data tools like Databricks, Ray, Vector Databases, Kubernetes, and workflow scheduling tools such as Apache Airflow, Dagster … premises and on cloud platforms, and experience in building end-to-end scalable ML infrastructure with on-premise DGX or cloud platforms including AWS EKS/SageMaker, Azure Machine Learning/AKS, or common ML platforms (ClearML, MLflow, Weights and Biases). Cloud & Automation: Strong understanding of AWS, Azure, containerization/Kubernetes, multiple automation/DevOps, and ML lifecycle … tuning, pretraining, continued pretraining, inference, RAG, and building multi-agent workflows using Llamaindex, Langchain, LangGraph, vector databases, etc.). Production-Grade Models: Significant expertise in building production-grade machine learning models in industry and/or academic research settings, building, training, and deploying ML. About the Department The position is connected to our DDIT-R&ED UK department located More ❯

brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Job Description NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites applications for a role focused on applying sophisticated machine learning methods to complex tasks such as natural … language processing, speech analytics, time series, reinforcement learning, and recommendation systems. The ideal candidate will excel in a highly collaborative environment, working with business teams, technologists, and control partners to deploy solutions into production. A strong passion for machine learning, along with dedication to continuous learning, research, and experimentation, is essential. Hands-on expertise in Deep Learning, analytical thinking, motivation, and a desire to innovate are also required. Job Responsibilities Research and explore new machine learning methods through independent study, industry conferences, experimentation, and knowledge sharing. Develop state-of-the-art machine learning models for real-world problems in NLP, speech recognition, analytics, time-series prediction, or recommendation systems. Collaborate with teams More ❯

Social network you want to login/join with: Machine Learning Engineer - Generative AI, slough col-narrow-left Client: Qubit Analytics Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Company Description We are a startup building next-generation real-time … image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative … and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work on some More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence JPMorgan Chase & Co. London, United Kingdom NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence JPMorgan Chase & Co. London, United Kingdom Apply now Posted 3 months ago … Permanent Competitive NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Job Description 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 and recommendation systems. The candidate must excel in working in a highly collaborative 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 More ❯

Join to apply for the Machine Learning Engineer role at Proximie 2 weeks ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Proximie Get AI-powered advice on this job and more exclusive features. Five billion people in the world do not have access to safe and affordable surgery, and … to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that … improve clinical outcomes, drive productivity and support Proximie’s continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You’ll harness the More ❯

rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Create and deliver reusable technical assets that help to accelerate the adoption of generative … Product and Engineering teams to help define product direction. About the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: - Imagine new applications of generative AI to address your needs. - Identify new use cases based on business value. - Integrate … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising More ❯

Software Development Engineer - Machine Learning Job ID: 2898783 | Amazon Europe Core Sarl - D40 Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? At Amazon, we hire the best minds in technology to … or Master’s Degree in Computer Science, Computer Engineering, or related fields at time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such as linear programming and nonlinear optimisation • Ability … Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an More ❯

the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands … development and technical confidence. Required Skills & Experience: Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or … lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Desirables: Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is More ❯

Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The … diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You … statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or More ❯

team at our head office in Oldham, Greater Manchester. The Data Scientist, role overview: We are seeking a highly skilled and motivated Data Scientist with a strong background in Deep Learning to join our dynamic team. In this role, you will be responsible for developing and implementing deep learning models to extract valuable insights from vast … data. You will work closely with cross-functional teams to drive data-driven decision-making and create impactful solutions. Your Responsibilities as a Data Scientist: Develop, implement, and optimize deep learning models for image classification problems Collaborate with a co-located team of Software Engineers to ensure seamless integration of models into production environments. Conduct exploratory data analysis … data preprocessing, feature engineering to uncover insights and guide model development. Stay up-to-date with the latest advancements in deep learning and AI technologies and apply them to real-world problems. Communicate complex technical concepts and results to non-technical stakeholders effectively. Participate in code reviews, model evaluations, and continuous improvement processes to maintain high-quality deliverables. More ❯

an inclusive and diverse team of high caliber data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. … growth and technical leadership Exposure to cutting edge applications of AI/ML and the opportunity to work with research teams on innovative solutions Evaluating and understanding large production deep learning systems composed of dozens of models Developing novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems are operating. Required … skills BS in Computer Science, Data Science, Machine Learning, or related technical fields At least 5 years of hands-on experience (may include graduate studies in computer science or related technical fields) with increasing scope in developing and implementing ML solutions Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis Strong software development experience through hands More ❯

that will help our customers 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, NeurIPS , ICML , ICLR , SIGGRAPH, and other top-tier conferences. We collaborate with top academic & industry … or PhD in a field 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 be commensurate to experience) Good More ❯

that will help our customers 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, NeurIPS , ICML , ICLR , SIGGRAPH, and other top-tier conferences. We collaborate with top academic & industry … or PhD in a field 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 be commensurate to experience) Good More ❯