3,201 to 3,225 of 7,725 Machine Learning Jobs in the UK

getting started.About the RoleCheckout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will … designing and deploying recommender systems, contextual bandits, or network intelligence applications.Experience in fintech, payments or similar domains.Experience with Docker, AWS/GCP, and modern ML deployment practices.Additional InformationBring all of you to workWe create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes ...

frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams.Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer.Turn what works on the ground into product direction, so each engagement … edge of what’s possible in applied AI, and bring it back to the team.What you'll bring to the teamStrong track record applying ML/data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain/pricing.The instinct to own outcomes, not tasks ...

started. About the RoleCheckout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will … deploying recommender systems, contextual bandits, or network intelligence applications. Experience in fintech, payments or similar domains. Experience with Docker, AWS/GCP, and modern ML deployment practices. Additional InformationBring all of you to workWe create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that ...

architectures to executive boards and governance forums Priority Skill AI We are looking for experienceacross several ofthe following skills and experience: AI/ML architectural patterns,best practices, and platform technologies Experience designing AI/ML-driven solutions and data lifecycle management Data solution design,selecting theappropriate cloud-nativeservices … Foundational certifications in AWS and/or GCP Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML(e.g., AWS Certified Machine Learning Specialty) Whats in it for you At Accenture in addition to a competitive basic salary, you will also ...

structured technical narratives.Take an insight-led approach to bring industry best practices in data and AI to shape and guide clients’ strategic transformationsArchitect data, ML, and GenAI solutions on Google Cloud.Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery.Support RFP responses … agentic deployments.Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators.What You Bring7–12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre-sales or client ...

Living Wage accredited Employer. What You'll Do: CoreWeave’s Physical AI team is building the essential cloud platform for AI innovators, applying machine learning to solve previously intractable physics and engineering challenges. We operate at the intersection of advanced cloud infrastructure, artificial intelligence, and applied data science … turning complex technologies into products, platforms, or customer outcomes. High versatility with a proven ability to work across multiple technical domains, such as ML modelling, generative AI, agentic workflows, robotics, advanced manufacturing, cloud infrastructure, or data engineering. Strong technical fluency with the ability to confidently discuss APIs, architecture diagrams, deployment ...

technical narratives. Take an insight-led approach to bring industry best practices in data and AI to shape and guide clients' strategic transformationsArchitect data, ML, and GenAI solutions on Google Cloud. Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery. Support … deployments. Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators. What You Bring7–12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre-sales ...

leading AI lab to engage experienced Data Scientists and quantitative professionals from top companies. In this role, you will apply your expertise in statistics, machine learning, experimentation, data analysis, and quantitative reasoning to evaluate and improve the capabilities of advanced AI systems. You will work on expert-level … statistical weaknesses, and provide structured feedback that helps models reason more accurately and effectively. Responsibilities Evaluate AI-generated outputs across data science, statistics, machine learning, and quantitative reasoning problems. Create expert-level prompts and datasets designed to assess advanced quantitative capabilities. Develop accurate reference solutions for complex data ...

real-life problems with data and modern technologies Ability to work collaboratively and communicate effectively Sound knowledge and experience developing and deploying statistical and machine learning models, supervised and unsupervised Python expertise SQL Big Data, including Spark BI tools such as Tableau or Power BI Modern software development … Microsoft Azure (desirable) Core Competencies Demonstrates expertise in developing and deploying data science solutions, with a strong focus on statistical and machine learning models. Proficient in data wrangling, compliance with best practices, and effective communication with stakeholders. Highest-signal resume keywords Python Expertise SQL Big Data Including Spark ...

leading AI lab to engage experienced Data Scientists and quantitative professionals from top companies. In this role, you will apply your expertise in statistics, machine learning, experimentation, data analysis, and quantitative reasoning to evaluate and improve the capabilities of advanced AI systems. You will work on expert-level … statistical weaknesses, and provide structured feedback that helps models reason more accurately and effectively. Responsibilities Evaluate AI-generated outputs across data science, statistics, machine learning, and quantitative reasoning problems. Create expert-level prompts and datasets designed to assess advanced quantitative capabilities. Develop accurate reference solutions for complex data ...

leading AI lab to engage experienced Data Scientists and quantitative professionals from top companies. In this role, you will apply your expertise in statistics, machine learning, experimentation, data analysis, and quantitative reasoning to evaluate and improve the capabilities of advanced AI systems. You will work on expert-level … statistical weaknesses, and provide structured feedback that helps models reason more accurately and effectively. Responsibilities Evaluate AI-generated outputs across data science, statistics, machine learning, and quantitative reasoning problems. Create expert-level prompts and datasets designed to assess advanced quantitative capabilities. Develop accurate reference solutions for complex data ...

Spring Boot microservices with REST/gRPC APIs · Working with Kafka and event-driven architectures · Building pipelines using Apache Flink and Apache Beam · Integrating ML models and feature stores · Working with NoSQL databases and Redis caching · Using Apache Camel for integration where required · Collaborating with product, data science, and analytics … Beam · Experience with Kafka · Familiarity with Apache Camel · Experience with NoSQL databases (Cassandra, DynamoDB) and Redis · Cloud experience (GCP or AWS) · Docker and Kubernetes · ML model serving or feature stores · A/B testing platforms · Terraform or infrastructure as code · Performance and scalability optimisation Whats ...

growing code-base, trained upon the data warehouse, is delivering descriptive and predictive business insights.The next step of this journey is to bring the machine learned models directly into production environments as part of the Data Science and Machine Learning as a Platform initiative. Your chief responsibilities … will be to develop further client facing machine learning use cases across multiple lines of businesses and to oversee the end-to-end pipeline of transforming the selected use-cases into performance code and deploying them into production.In addition to Python you should also be familiar with ...

Risk Modelling team owns credit risk and Customer Lifetime Value (CLtV) modelling for the company’s UK and German lending. That covers the probabilistic machine learning models behind every credit decision, plus the CLtV models that shape pricing and portfolio strategy. The team is around twelve data scientists. … statistics from a quantitative field. You reason about uncertainty and calibration as first‐order concerns. Production ML. You have built and shipped supervised ML models end to end – exploration, training, deployment, monitoring. Research mindset. You proactively explore new ways to add value. R&D time is when you expect ...

Credit Risk Modelling team owns credit risk and Customer Lifetime Value (CLtV) modelling for iwoca's UK and German lending. That covers the probabilistic machine learning models behind every credit decision, plus the CLtV models that shape pricing and portfolio strategy.The team is around twelve data scientists. Some … probability and statistics from a quantitative field. You reason about uncertainty and calibration as first-order concerns.Production ML. You have built and shipped supervised ML models end to end – exploration, training, deployment, monitoring.Research mindset. You proactively explore new ways to add value. R&D time is when you expect ...

software engineering here, so you'll write production-grade code, not just notebooks.Lead the end-to-end build of credit risk models, treating ML as software engineering so everything you ship is fast, reproducible and robust.Design modelling frameworks for decisioning, pricing and fraud that move company-wide … significant influence over where it goes.Who thrives hereGets restless when a model is "good enough" but not great4+ years building and maintaining production-grade ML systemsCares as much about code quality as the statistics behind itStrong grip on predictive modeling and credit risk concepts (IV, ROC AUC, SHAP ...

next step in your Data Science career within the insurance sector? This is an opportunity to join a highly data-driven insurance business where machine learning and advanced analytics are central to decision-making across underwriting, claims, pricing and customer strategy. The Company They are an established insurance … Data Scientists can make a visible impact. The Role As a Senior Data Scientist, you will lead the delivery of high-value analytics and machine learning projects, working closely with stakeholders across the business. Responsibilities include: • Developing and deploying predictive models to support underwriting, claims, pricing and customer ...

Provide technical leadership, architecture governance and design documentation across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality. Translate complex technical concepts and data insights into clear recommendations … understanding of data modelling, data warehousing, Lakehouse and modern data architecture. Experience with data governance, data quality and metadata management. Exposure to AI/ML integration within data solutions and an understanding of AI governance. Experience with visualisation platforms such as Power BI, Tableau or Looker . Strong ...

Lead Data Science ConsultantPermanent or ContractQuant Capital is urgently looking for Data Scientist/Machine Learning Consultant to join our high profile client. My client is a well known financial software house, providing platforms and consultancy to the financial and insurance space. The Data Science Consultant is responsible … what it does)Present data from various unclean sourcesCommunicating innovative data-centric solutions and providing strong architectural designs to develop a workable solution. Machine Learning ConsultancyDocumentingProvide expertise on Data management capabilities. Analyse and model data concepts across the enterprise. Consulting on the necessary data architecture, elaborating the requirements ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model ...

leading UK retail insurer to appoint a Senior Data Scientist into their pricing function. It's a role with genuine technical range - deep learning, predictive analytics and machine learning - and a direct line of sight into how your models shape business decisions, rather than sitting behind someone … else's. What you'll do Build and evaluate machine learning models, from deep learning through to predictive analytics, that solve genuine business problems. Own the data science lifecycle across large, multi-source datasets, from analysis and cleansing through to deployment. Apply a broad statistical toolkit, from ...

Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects … troubleshooting and tuningFamiliarity with the Hadoop and/or Spark ecosystemsHow you'll stand out Experience with PythonData-Science knowledgeBasic knowledge of JavaFamiliarity with ML-Ops practices and toolsWhat does the hiring process look like? #LI-Hybrid #LI-AN1Initial call with a member of our Technical Recruiting teamVideo call with ...

data mesh principles, federated governance, and scalable domain‐oriented data ownership models Experience designing platforms and architectures to support AI‐native use cases, machine learning systems, agentic workflows, and intelligent software platforms Strong understanding of real‐time and event‐driven architectures, including streaming data systems and low‐latency … orchestration, governance, and scalable data product design Experience with technologies and ecosystems such as GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, Airflow, ML/AI enablement, or similar modern platform tooling Strong commercial acumen and ability to engage credibly with senior technical and business stakeholders Experience leading major ...

Lead Data Science ConsultantPermanent or ContractQuant Capital is urgently looking for Data Scientist/Machine Learning Consultant to join our high profile client.My client is a well known financial software house, providing platforms and consultancy to the financial and insurance space.The Data Science Consultant is responsible for performing … what it does)Present data from various unclean sourcesCommunicating innovative data-centric solutions and providing strong architectural designs to develop a workable solution.Machine Learning ConsultancyDocumentingProvide expertise on Data management capabilities.Analyse and model data concepts across the enterprise.Consulting on the necessary data architecture, elaborating the requirements, business KPIs and other ...

driven Product Owner to lead the development of Nevis’ AI‐first product experiences. In this role, you will work at the intersection of machine learning, generative AI, product strategy, and user experience turning complex user problems into seamless intelligent automations for financial advisors and their teams. … experience with LLMs Proven track record of shipping impactful AI‐native products, preferable at scale Proven ability to manage engineering teams and navigate ML/Engineering system design decisions trade‐offs Passionate about transformative AI technologies, deep understanding of all modern Gen AI and agentic product development patterns, their pros ...