151 to 175 of 2,936 Machine Learning Jobs in London

audiobooks, video, and creator data is trusted, safe, and ready to power innovation across Spotify. Our work spans content governance, platform safety, metadata, and machine learning systems that enable experiences such as Music Quiz , Playlist Mixes , Save to Spotify and SongDNA . Every day, our platform helps teams … creators. As a Principal Product Managers you will own strategy directly. In this role, you’ll shape long-term direction, partner closely with engineering, machine learning, design, and business leaders, and deliver platform capabilities that have company-wide impact. What You'll Do Define and evolve product strategy ...

Research and Intelligence organisation in London. You'll work across flexible, cross-functional squads within the Data Science team, leading analytical, statistical, and machine-learning work across both UTXO and EVM blockchains. The team develops behavioural heuristics, graph algorithms, statistical models, and machine-learning techniques that … Python and SQL, with a track record of writing clean, testable, production-quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets. Demonstrated ability to learn unfamiliar technical domains and data models quickly; prior blockchain experience is welcome but not required. ...

with talented professionals across the firm. Your skills will help us deliver secure, scalable, and measurable solutions for our clients. As an Applied AI & Machine Learning Senior Associate in the Asset Management Data Science Team, you will build the technical foundation for intelligent investor tools. You will design … degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or a quantitative field Demonstrate a strong foundation in statistics, probability, experimental design, and machine learning, with sound judgment in method selection and interpretation Possess hands‐on experience building, deploying, and scaling LLM-powered applications, including retrieval, tool ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … building, deploying and operating AI products that deliver measurable business value. What You Will Do Design and deliver customer analytics, data science, machine learning and generative AI solutions, from problem framing and data exploration through to production and measurable client value. Make the technical decisions on your workstream ...

join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist … will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve: Designing and implementing robust machine learning models and data pipelines. Experimenting with innovative approaches to translate complex business ...

join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist … will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve: Designing and implementing robust machine learning models and data pipelines. Experimenting with innovative approaches to translate complex business ...

Machine Leaning Engineer £735 per day – Inside IR35 London/2 days a week on site 2 years Key Responsibilities Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain … robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline ...

that drive strategic and operational decision-making. As the first dedicated Data Science role within the organisation, the role will lead the application of machine learning and statistical modelling to solve business challenges, while defining the tools, standards and best practices required to build a scalable Data Science … decision-making. Deliver Data Science solutions across a range of use cases including customer attrition, credit risk, likelihood-to-pay and pricing optimisation. Apply machine learning, statistical and analytical techniques to solve complex business challenges and generate measurable business value. Evaluate and continuously improve model performance through testing ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … clients understand how analytics and AI can create measurable customer and business value. What You Will Do Design and deliver customer analytics, data science, machine learning and generative AI solutions, from problem framing and data exploration through to production and measurable client value. Make the technical decisions ...

Location London Employment Type Full time Location Type Hybrid Department Research Voleon is a technology company that applies state‐of‐the‐art AI and machine learning techniques … real‐world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‐dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

News and Sport—reach millions of people every week and generate billions of audience interactions. As a Data Scientist, you will develop statistical and machine learning models that help understand audience behaviour, improve audience measurement, and support strategic decision-making across the BBC. Working with a range … around 12 Data Scientists working on a diverse range of modelling challenges. Our work spans audience measurement, forecasting, consumer behaviour, experimentation and applied machine learning. We work closely with data engineers, researchers, analysts and stakeholders across the BBC, giving you the opportunity to contribute to high-impact projects with ...

looking for an exceptional Robotics Engineer to build autonomous robotic systems in real world environments. This role sits at the intersection of robotics, machine learning and systems engineering. You will work across the full stack, from research, planning, control systems all the way to deployment. This position … suited to someone who is equally comfortable in research, training machine learning models and delivery of a robot to the field. Responsibilities Design, build and deploy autonomous robotic systems. Develop planning, perception and control systems using modern machine learning and robotics techniques. Research and implement state ...

titles, including Woodoku, Woodoku Blast, Solitaire, and TripleTile. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development. We are also one of the largest IAA operators worldwide. Tripledot … experimentation and A/B testing across a sophisticated internal platform. As the platform evolves, the role will expand into more advanced statistical and machine learning work that delivers value across the business. Key Responsibilities Define statistical logic, calculation methods, and detailed requirements for experimentation platform features. Prototype ...

C++). Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Contribute to a compiler which scales-out machine learning models across accelerators like TPU/GPUs at Google and Cloud. Design and implement performance optimizations and critical features, which increase … Compiler and to the Compiler itself. Qualifications Experience with coding in data structures, algorithms and software design. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Work or educational experience in Machine Learning ...

manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case. We're building for scale, and that scale brings ambiguity … record of driving growth within large, complex, regulated organisations. Key Responsibilities Lead a team centred on a .NET back end, with front-end and machine learning components, helping engineers establish and validate their understanding of technical architecture and design end-user-centric systems and tools. Own predictable, high ...

driven lakehouse built on AWS and aligned to medallion architecture principles — delivering high-quality, well-governed data products that support analytics, trading insight, and machine learning use cases. This platform underpins critical decision‐making across trading, risk, personalisation, and analytics, and represents a key step forward in standardising … between upstream event producers and downstream consumers. Optimise pipelines and storage for performance and cost efficiency within AWS. Collaborate with analytics, data science, and machine learning teams to translate business requirements into high‐quality data assets. Contribute to data governance practices, including metadata management, lineage, and discoverability. What ...

ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push … Director, Platform Engineering, you will lead the team responsible for the hybrid compute infrastructure, developer platform and scientific compute environments that power Relation’s machine learning and drug discovery work. Reporting to the VP of Engineering, you will work closely with your team and peers across Engineering, Data ...

UKRI funded project ‘PROSPECT: Predicting psychosis outcomes from speech and brain connectivity’. The overall aim of the role is to develop innovative machine learning approaches to predict longitudinal symptom changes for patients with psychotic illnesses, using patterns of brain connectivity derived from MRI. The post holder will … work at the intersection of machine learning, neuroimaging and Psychiatry, developing methods with the potential to improve our ability to predict clinical outcomes. They will have the opportunity to work with rich brain MRI datasets from patients with psychotic illnesses, curate and process these datasets, and derive both ...

experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Description: We are looking for an independent, dedicated Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game … play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state‐of-the‐art in runtime efficiency, visual quality and latency. What ...

global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity **The Role:**We're looking for a Senior Lead ML Engineer with a **proven track record of delivering successful, production-scale machine learning solutions (ideally on AWS SageMaker)**.You will provide technical leadership … across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large-scale matching platform. This is a hands-on lead role requiring recent expertise in building, deploying, monitoring, and operating ML systems in production.## Essential Experience* Demonstrable success designing and delivering enterprise-scale ML platforms ...

Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront … leading role in the design and delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning ...

data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts … patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven ...

Senior AI/ML Computational Scientist Career Level: Senior Manager/Associate Director YOU ARE As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Established experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks ...

/ML Computational Scientist As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third‐party AI services to deliver production‐ready outcomes. Your role spans the full solution lifecycle … include big data, high‐performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks. Experience in building and deploying AI/ML based software to a cloud environment. Strong written & verbal communication skills and ability to communicate complex technical concepts to non‐technical stakeholders. Strong client‐facing skillsets ...

distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. … e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer ...