276 to 300 of 355 Deep Learning Jobs in the UK

That's why we started Encord. We are a talented and ambitious team of 70, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies … information from our data development platform. Building sophisticated RAG systems on other types of data than the usual text documents. Following the latest machine learning research to identify and apply new methods that improve our processes or the user experience. Ensuring our customers have the world's most powerful … AI-powered data development platform. Skills for the job: A PhD or similarly strong academic background in machine learning, with 2+ years of hands-on experience in LLM fine-tuning, RAG systems, and prompt engineering. Proficiency with frameworks like PyTorch, Tensorflow, JAX, Pandas, and OpenCV. A solid understanding of More ❯

This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and … customers. The Role As a Junior Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high … a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams. Data Quality Optimization - Ensure the highest standards of data quality by designing and refining More ❯

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 … 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 More ❯

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 … 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 More ❯

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. Candidates … able to thrive in fast paced environments. Being ok with ambiguity and strong communications skills are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions … technical decision-making Translate business requirements into technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working More ❯

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. Candidates … able to thrive in fast paced environments. Being ok with ambiguity and strong communications skills are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions … technical decision-making Translate business requirements into technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working More ❯

AI that actually feels personal ? We’re on a mission to redefine how businesses interact with their customers, using cutting-edge AI and machine learning to create deeply personalised, intelligent experiences . We’re looking for an AI Engineer to join us on this journey—someone who thrives in … customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud More ❯

AI that actually feels personal ? We’re on a mission to redefine how businesses interact with their customers, using cutting-edge AI and machine learning to create deeply personalised, intelligent experiences . We’re looking for an AI Engineer to join us on this journey—someone who thrives in … customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud More ❯

be involved in strategy to develop bespoke methodologies and ML/AI algorithms for diagnostics and prediction tool development. The Responsibilities: Build and optimize deep learning models for biological age determination and disease stratification based on large datasets of epigenetic data; Build ML/AI models to predict More ❯

be involved in strategy to develop bespoke methodologies and ML/AI algorithms for diagnostics and prediction tool development. The Responsibilities: Build and optimize deep learning models for biological age determination and disease stratification based on large datasets of epigenetic data; Build ML/AI models to predict More ❯

This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and … our customers. The Role As a Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high … a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams. Data Quality Optimization - Ensure the highest standards of data quality by designing and refining More ❯

to production deployment and performance monitoring. Setting high standards while creating space to learn and grow through trial and iteration. You'll bring a deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether that's deep learning … for a role where your leadership can directly influence cutting-edge AI solutions, and you like the sound of failing fast, fixing faster, and learning even faster, we'd love to hear from you. This is your chance to join a mission-driven team using data science to shape More ❯

role you will develop data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically involve implementation … of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering or large language models. Requirements We are particularly interested in candidates who: Have hands-on experience using a range of computational techniques to achieve meaningful outcomes. … statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analysing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent More ❯

role, you will develop data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically involve implementation … of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering, or large language models. We are particularly interested in candidates who: Have hands-on experience using a range of computational techniques to achieve meaningful outcomes. Wish … statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent More ❯

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 More ❯

model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in More ❯

model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in More ❯

customer experience (if available). Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social … Familiarity with ethical considerations and best practices in AI and data science. A curious mindset and interest with the latest advancements in AI, machine learning, and data science space. Need To Know We don't just believe in inclusion, we actively go out to making it a working reality. … solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. When you join Capgemini, you don't just start a More ❯

PRINCIPAL MACHINE LEARNING INFRASTRUCTURE (ML PLATFORM AND OPERATIONS) - ENGINEERS: Bullisher is a data-centric fintech solution provider in the aerospace and defense industry for institutional-level investors, looking to disrupt and revolutionize a $3 trillion industry. We spearhead an industry-leading Blackbox to facilitate and administer trade agreements, delivering … a newly created role for a team of four, the oversight team requires a PLATFORM DESIGNED TO HANDLE COMPLEX WORKLOADS. This involves a machine learning development system, a specialized infrastructure needed to deliver complex AI/ML workloads focused on training deep learning models to improve distributed … and execution. WHAT ARE WE LOOKING FOR: Extensive experience in ML development in PYTORCH , Kubernetes, and TensorFlow. A proven record in AI and machine learning, focusing on end-to-end solution integration with existing infrastructure. A leading developer focused on transparent model reporting with the utilization of AI infrastructure More ❯

DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As an Applied Scientist with … of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. We believe More ❯

Amazon Development Centre (London) Limited The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As … of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunities employer. We believe More ❯

customer analytics team as a senior data scientist. You will be building analytics models using a range of data science approaches, such as machine learning and statistical techniques, along with wider analytical approaches such as time series and analytics with unstructured data (e.g., NLP). They recently used gradient … boosting machine learning to predict radio listening behaviour for a client, taking into account advertising spend. The Successful Candidate Is Likely To Have: Commercial skills: Ability to talk confidently to clients, discussing and advising on business objectives. Proven track record of how results can best be deployed within businesses. … to work autonomously when required, demonstrating the ability to prioritise and organise. Technical skills: Excellent working knowledge of advanced analytical techniques, including regression, segmentation, deep learning, natural language processing, text analytics, and time-series modelling. Experience of a wide variety of technologies including R or Python, SQL. Understanding More ❯

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 More ❯

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 More ❯

environment. A background leading Data Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming languages including Python, Java, C/C++, R. More ❯