26 to 50 of 71 Deep Learning Jobs in London

to contribute to the scientific community Minimum Qualifications PhD or Master's degree Published papers in top-tier AI/HCI/simulation conferences Strong technical skills in applying deep learning and generative AI techniques, including implementing custom architectures, pretraining/fine-tuning generative models, building agentic workflows, and deploying solutions with real-world constraints. Familiarity with PyTorch … frameworks Preferred Qualifications Experience in building AI agents (based on RL, LLMs, etc.) Experience in building multi-agent simulation Background in Large Language Models/NLP and Multi-modal deep learning Exposure to projects integrating human sciences (e.g. sociology, behavioural, cognitive, neuroscience) Familiarity with spatial analysis algorithms (e.g. space syntax) Learn More About Autodesk Welcome to Autodesk! Amazing More ❯

c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and … a great shopping experience every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep … ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Application Engineer (AE More ❯

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working … as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. … Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we More ❯

level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for a Senior Applied Researcher to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use cutting-edge computer vision and … deep learning at scale to shape the future of sports, from professional teams to local high schools. As a Senior Applied Researcher, your key responsibilities will include: Delivering for customers at scale . You'll build, deploy, monitor and iterate on ML models and systems that scale across 40+ sports and to thousands of simultaneous sports matches. Project … team dependencies, and ensure our products meet the highest standards. Must-Haves Technical expertise . You have extensive experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. System experience . You've built, maintained and monitored complex AI/ML models More ❯

Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution … essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when More ❯

a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, LLMs and Deep Learning. Our Machine Learning Engineers are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, assisting the data scientists in designing and … hear from you. Apply now and help shape the future of claims automation. Responsibilities Develop features for our state-of-the-art claims automation platform Build and deploy machine learning algorithms and models to production within product teams Provide technical guidance and input on the design and implementation of machine learning algorithms Support with customer PoVs and onboarding … product requirements and help translate these into technical solutions Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable, tested, performant code in an agile environment. Work closely with Product Managers to help shape More ❯

experience in Investment Banking environment would be a plus Spanish would be a plus Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to More ❯

experience in Investment Banking environment would be a plus Spanish would be a plus Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to 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 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 and More ❯

and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each … cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions design, architecture and development and deployment of large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing. - Working knowledge of generative AI and hands-on experience in … a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, SageMaker, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate) - Experience with automation and scripting (e.g., Terraform, Python) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

information-based analytics and decision tools for professional and business customers. About the Role: LexisNexis Intellectual Property Solutions is seeking a Principal Data Scientist specialising in Agentic Systems , with deep expertise in efficient context engineering, fine-tuning large language models (LLMs), and multi-agent workflows . This hands-on role focuses on pushing the boundaries of how intelligent systems … fine-tune, and adapt LLMs to meet specific objectives. Enhancing evaluation frameworks to measure performance, efficiency, and success. Prioritising and managing improvements to core intelligence using methods like reinforcement learning and self-learning agents. Collaborating with engineering and product teams to deliver scalable solutions. Supporting and mentoring team members, fostering a culture of inclusion, learning, and innovation. … in applied AI or LLMs in a commercial or research setting. Strong knowledge of context engineering, LLM fine-tuning, and evaluation of non-deterministic systems. Proficiency in Python and deep learning frameworks (e.g., PyTorch). Excellent problem-solving, communication, and collaboration skills. Experience working in agile, cross-functional teams. Why Join Us? Join our team and contribute to More ❯

and agile working, blending working from home and our offices in London, Southampton & Yeovil. Talk to us about how we can support you. We are looking for a Machine Learning Engineer to join our growing team, to develop and deploy core ML/AI algorithms to tackle data science challenges across the Kingfisher Group. You will support data science … production, developing quality code and carrying out automated builds and deployments, working with colleagues in the Data Science team and stakeholders across the business. Responsibilities Develop high-quality machine learning models to solve business challenges Develop production-quality code and carry out basic automated builds and deployments Write comprehensive, well-written documentation Identify work and dependencies, tracking progress through … multiple data science projects and manage deliverables What we offer Solid understanding of computer science fundamentals, data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art areas (e.g. NLP, Transfer Learning) and modern Deep Learning algorithms (e.g. BERT, LSTM) Solid More ❯

you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance … monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a … Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and More ❯

As a Principal Data Scientist at Hiscox, you will play a pivotal role as a critical thinker for Hiscox, applying your deep expertise to address our most intricate business challenges and uncover significant opportunities within our data landscape. You will utilise your technical skills and innovative mindset to tackle complex business problems and identify opportunities for growth. Additionally, you … Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices … Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative More ❯

Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a Machine Learning Engineer to join our … team and lead the charge in applying cutting-edge machine learning to cyber threat intelligence. In this highly impactful, hands-on role, you'll design, develop, and deploy scalable machine learning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our Cloudforce One offering, providing critical More ❯

Director, Machine Learning Centre of Excellence Group AI Management and Strategy (AIMS) team is responsible for developing and implementing Group-wide strategic programs across HSBC aimed at accelerating the commercialisation and delivery of Artificial Intelligence/Machine Learning (AI/ML) across HSBC. Key areas of focus include responsible development practices, common platforms and capabilities, AI technology enablement … governance, and the Group-wide AI Strategy. In this fantastic new strategic role, you will join a growing team to lead the Machine Learning Centre of Excellence (ML-COE). This is a critical role for HSBC that will deliver against some of the most complex Machine Learning and Artificial Intelligence Use Cases to deliver Value within our … assurance and help shape the future of the team through hiring and team building initiatives. You will be a trusted thought partner of the GB/GFs and form deep and trusted relationships with AI developers across the organization. In this role, duties will include: • Use Case Management: Prioritising and managing AI/ML use cases to ensure alignment More ❯

Grade Level (for internal use): 12 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers … to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P … subjects Requirements and Skills Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 6+ years of professional experience in Data Science/Machine Learning/Quant, including in the Financial Services sector Hands on project lifecycle experience, from business requirements gathering to testing production release Strong coding experience in Python to write robust More ❯

service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. … dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer … with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated More ❯

service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are a product-focused team that … and Design functions. Our dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We apply machine learning technology across a range of models and product areas, testing and measuring real customer impact of each deployment. What will I be doing? Identify areas where ML can create … measure & socialize learnings to inform iteration Partner deeply with the rest of the team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Strong communication skills, both within engineering teams and across disciplines Comfort with ambiguity More ❯

We're Hiring: Machine Learning Engineer (Research-Focused) Type: Contract 4 - 6 Months Location: West London Salary: Up to £75 p/h Our client, a globally recognised technology leader , is seeking a Machine Learning Engineer with a strong research background to drive advancements in computer vision, generative AI, and deep learning. The organisation is renowned for … Requirements: PhD (or current PhD student) in ML/AI/Computer Vision. Exceptional Master's candidates with extensive research experience will also be considered. Strong foundations in Machine Learning, Computer Vision, and Deep Learning Proficiency in PyTorch and Python First-author publications in top-tier conferences/journals (ICML, NeurIPS, ICLR, CVPR, ECCV, AAAI, IEEE TPAMI … computer vision and/or language processing) Foundation Models (computer vision and/or language processing) Parameter-Efficient Fine-Tuning Data/Model Privacy Model Optimization for Multi-Task Learning Why Join? Work on advanced AI research with global impact, alongside leading experts in the field. If you are ready to take on this challenge, we'd love to More ❯

our customers' success. Technical Proficiency: Advanced Python Proficiency: Demonstrated expertise in writing clean, well-tested, and maintainable Python code. Cloud Deployment Expertise: Hands-on experience deploying applications and machine learning models in cloud environments (AWS strongly preferred, GCP/Azure a plus), using containers (Docker, Kubernetes) and infrastructure-as-code principles. Software Engineering Fundamentals: A strong understanding of core … in Pharma, Biotech, or Healthcare roles. You have previous experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Developer Advocate, or Technical Consultant. You have deep experience with the AWS ecosystem and services relevant to ML, such as SageMaker, EC2, S3, IAM, and VPC. You are familiar with deep-learning frameworks like PyTorch More ❯

leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities - ideal for someone who combines deep technical expertise with a passion for helping others grow. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in the latest research, through proof … of-concept, to production deployment. Your work will sit at the cutting edge of machine learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. This role blends technical leadership with hands-on research. You'll set direction, influence others, and lead by example, all while mentoring colleagues and helping define best … on both technical and professional development. What We're Looking For We're seeking an experienced applied scientist who combines depth in ML with leadership as an individual contributor: Deep learning expertise with significant industry experience, including 2+ years applying it to language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. Demonstrable success leading as an individual More ❯

our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate in Computer Vision, Machine Learning, or a related field with demonstratable experience in applied research or product development OR Master's degree in Computer Vision, Machine Learning, or a related field with demonstratable … experience in applied research or product development OR Bachelor's degree in Computer Vision, Machine Learning, or a related field with demonstratable experience in applied research or product development Solid experience working in multimodal learning, image understanding, or generative modelling. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace). Hands-on experience with … for high-quality image and video generation. Build scalable training pipelines for large-scale image-text datasets using discrete tokenisation (e.g. VQ-VAE, DALL E-style encoders). Optimize deep neural networks for deployment on Neural Processing Units (NPUs) and cloud environments, maximizing efficiency and performance. Collaborate with cross-functional teams to integrate models into Microsoft products and services. More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world More ❯