676 to 700 of 21,651 AI Jobs in England

source systems into our Lakehouse on Microsoft Fabric, process it through a medallion architecture, and deliver modelled, trusted data that’s ready for reporting, AI and machine learning. You’ll sit in our Data team reporting to the Head of Data, working with our Data Analysts on modelling, and with … standards we adopt. As the data platform grows so will the role and there’s scope to move into advanced analytics, and AI-assisted tooling such as Fabric MCP, Fabric IQ, Copilot and data agents. Key Responsibilities Building and maintaining scalable data pipelines, pulling data in from core business systems ...

adopted by teams, and improve decision‐making across the firm. You will help shape these capabilities inside an established Design Technology team, working alongside AI and data engineers, data scientists, designers, and product stakeholders to translate ambitious, pioneering ideas into production‐ready platforms. What You Will Do Design, build … datasets. Integrate machine learning outputs into design and delivery workflows so practitioners can access insights earlier and make more informed project decisions. Apply responsible AI and data governance practices, including transparency, traceability, human oversight, and appropriate handling of client and project data. Support the firm’s data‐driven design community ...

Landytech is building the intelligent operating platform for modern investment management. Our AI-powered platform, Sesame, brings together investment, corporate and accounting data across asset classes, custodians, currencies and legal entities, creating one secure, trusted source of truth from which our clients can understand their wealth and act with confidence. … data, modelled thoughtfully and available at scale. The platform is Kotlin and Spring microservices, with Python where it pays off: metrics, analytics and our AI work. Good features start well before any code gets written, with clear communication about the outcomes to be delivered, followed by planning, prototyping when ...

Stratford Upon Avon About the role As a Data Scientist at NFU Mutual, you'll design, develop and deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning … will include designing, building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding ...

lifecycle of intelligent automation solutions—from discovery through to delivery and optimisation. Technical & Domain Expertise Hands‐on experience with Intelligent Automation technologies (e.g., RPA, AI/ML, NLP, IDP). Knowledge of on‐premise and cloud architectures. Understanding of business analysis methods such as BPMN and DMN. Awareness … environment within Capgemini that encourages innovation, curiosity, and co‐creation. You will work on cutting‐edge digital transformation projects, using the latest in automation, AI, and process intelligence to solve complex challenges and deliver real impact. You will build strong relationships across Capgemini and with external clients and technology partners ...

equivalent professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within ...

equivalent professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within ...

About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with ...

hiring range. Actual pay will be determined based on experience, qualifications, and other job-related factors as determined by the company. We use artificial intelligence to screen, assess or select applicants for this role. This posting is for an existing vacancy at Hoffmann-La Roche Ltd. ...

scripting language such as Python or R, alongside experience with BI or visualisation tooling such as Looker, Tableau, or similar. Comfortable using modern AI‐assisted tools to work efficiently while maintaining high standards of accuracy and reproducibility. A pragmatic approach to problem‐solving: you can balance analytical rigour with speed ...

between business outcomes and technical execution to mature how STOXX delivers index data to clients globally, including Web portals, APIs, bulk delivery mechanisms, MCP (AI enabling pipelines), and third-party data marketplace integrations. This role owns the product vision, roadmap, and delivery outcomes for index data distribution and is expected ...

customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team! The Role: The Director, Customer Intelligence & AI is responsible for building and leading the company's customer intelligence and artificial intelligence capabilities, creating a strategic advantage through data-driven insights, predictive … automation of renewal workflows and decision-support processes. Primary Outcome: Improve customer retention, reduce revenue attrition, and increase renewal performance through advanced customer intelligence. Artificial Intelligence Strategy & Enablement: Lead evaluation and implementation of AI solutions across Revenue Management and customer-facing functions. Identify opportunities to leverage AI to improve customer ...

Описание Ryan provides financial services and develops enterprise solutions that improve business workflows and client outcomes. Задачи Design, build, and improve AI-enabled full-stack software as part of a cross-functional engineering team; Collaborate with engineers, business professionals, and end users to understand requirements and deliver practical solutions; Participate … contribute knowledge, ideas, and emerging best practices; Work with business professionals and customers to understand problems, workflows, and improvement opportunities; Determine where generative AI or agentic approaches can create meaningful value; Contribute to the end-to-end delivery of AI-enabled applications, including discovery, solution design, development, testing, deployment ...

Engineer to play a pivotal role in designing and building the data platform that will power the organisation's next generation of analytics and AI capabilities. This is a hands-on leadership role where you will take ownership of how data is structured, governed, and leveraged across the business. … contributing to its design, development, and implementation. Working closely with senior stakeholders, including the CTO, you will help shape the organisation's data and AI strategy, enabling everything from enterprise reporting and advanced analytics to cutting-edge AI and machine learning solutions. Key Responsibilities Design and build scalable, cloud-based ...

team in London, UK in a hybrid working mode. In this role, you will help leading pharmaceutical and life sciences organizations leverage data, AI and advanced analytics to enable transformation across R&D, clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using … machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient engagement. You will combine domain experience with technical expertise and consulting capabilities, working closely with senior stakeholders to align AI strategies to business priorities. This is an opportunity to drive ...

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity … development to support JPMC businesses as they grow. As a Principal Software Engineer at JPMorganChase within CDAO Technology Group in the Applied Innovation (of AI) Engineering team, you will design, develop, deploy, and maintain advanced AI products. You’ll collaborate with software engineers, data engineers, and data scientists to deliver ...

Architect – Financial Services to join our team in London in a hybrid working mode. In this strategic role, you will lead architecture design for AI-first, cloud-native solutions leveraging Google Cloud technologies. You will act as a trusted advisor to clients, helping shape technology roadmaps, define enterprise architectures … influence solution strategy and drive measurable business outcomes. You will collaborate closely with clients, Google representatives and multidisciplinary delivery teams to transform emerging AI and cloud technologies into resilient, production-ready systems. Responsibilities Design and deliver AI-first, cloud-native solutions for enterprise clients Lead end-to-end architecture activities ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity … hygiene and system architecture Regularly provides technical guidance and direction to support the business and its technical teams and vendors Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven ...

Months Location: Hybrid/Remote (London) Role Overview: We are looking for an experienced Intelligent Automation Engineering Lead to help accelerate the adoption of AI across engineering teams and client environments. This role is focused on enabling teams to successfully design, deliver, and scale AI solutions by providing technical leadership … support across a variety of technology landscapes. You will work closely with Delta Capita engineering teams, client stakeholders, architects, and delivery teams to identify AI opportunities, shape solutions, and support the implementation of AI-enabled products and services. The role requires someone who is comfortable operating across cloud platforms, engineering ...

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from … AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners – including Anthropic, Databricks, AWS, OpenAI, and Microsoft – to deliver modern AI with speed and measurable impact. We recognise “data” is broad, that ...

Building Society, we previously completed one of Scotland s largest Series A rounds. Since then, we ve continued to grow rapidly as adoption of AI in financial services accelerates, and we re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers … level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role Aveni is building next-generation AI systems for UK financial services, where safety, compliance, and trust ...

Building Society, we previously completed one of Scotland s largest Series A rounds. Since then, we ve continued to grow rapidly as adoption of AI in financial services accelerates, and we re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers … level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role Aveni is building next-generation AI systems for UK financial services, where safety, compliance, and trust ...

experienced Lead Data Engineer to join our talented team. The ideal candidate will have a strong background in data engineering, with experience in AI and a proven track record of designing and implementing robust data pipelines. Responsibilities Lead the design, development, and maintenance of scalable and efficient data pipelines … engineers, fostering a culture of continuous learning and improvement Stay up-to-date with the latest trends and best practices in data engineering and AI, and apply them to our projects Participate in the evaluation and selection of new technologies and tools to enhance our data engineering capabilities Contribute ...

within a highly regulated environment . Financial Services experience is strongly preferred, whether thats Wealth Management, Banking, Insurance or another regulated financial organisation. Where AI fits You dont need to be an AI or Machine Learning Engineer. The business is increasing its investment in AI, including Azure AI Foundry … wants its engineers to become increasingly comfortable using AI as part of their work. That might mean using Copilot or another LLM for code validation, debugging, documentation or other practical development tasks. If youve done more than that, useful, but it isnt a requirement. Youll have the opportunity to develop ...

solutions using Azure Databricks and/or Fabric Implement Medallion Architecture (Bronze, Silver, Gold) Develop data warehouse and lakehouse solutions Support BI, analytics, and AI workloads Optimise performance, cost, and reliability Collaborate with technical and functional stakeholders Mandatory Requirements Proven ability to make both high-level strategic … they escal Strong hands-on experience with Azure Databricks and Fabric Strong SQL and data warehousing expertise Experience with data modelling Experience with Databricks AI/BI or Power BI Experience with CI/CD and DevOps practices Desirable Experience in consulting/professional services Exposure to AI and advanced ...