226 to 250 of 21,036 AI Jobs in England

solutions. Lead with insight. Drive data innovation. The Role We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable … solutions that deliver measurable business value. What You’ll Do Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions. Drive the adoption of cutting‐edge technologies including generative AI, LLMs, and agentic AI frameworks. Collaborate with business and technology teams to align technical outcomes ...

Consult with Purpose. Continuously Evolve. Architect Tomorrow., you will play a key role in delivering high-quality applications, enabling intelligent automation, and supporting AI-driven transformation. Working within collaborative, multidisciplinary teams, you will contribute to building innovative, secure, and future-ready solutions while continuously developing your expertise and helping shape … workforce that is increasingly AI-fluent and customer-focused.Hybrid working:The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will ...

LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you! ROLE SUMMARY: As a Principal Data Scientist (individual contributor), you will play … hands-on role in designing, building, and deploying scalable AI solutions that go beyond prototypes and are actively used in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals. We're looking for someone who combines deep technical expertise ...

Overview We’re AioiR&D Lab – an AItech hub in one of the fastest‐growing insurance companies. We research and develop AI systems that catapult insurance from a slow‐moving, traditional past into a data‐driven, technology‐led and society‐defining future. We’re looking for dynamic, driven professionals like … help us drive the change that underpins our mission. As a Machine Learning Scientist, you will support the development of a privacy‐preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment protocols and principles, as well as model ...

LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you! ROLE SUMMARY: As a Principal Data Scientist (individual contributor), you will play … hands-on role in designing, building, and deploying scalable AI solutions that go beyond prototypes and are actively used in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals. We're looking for someone who combines deep technical expertise ...

services. Technical point of contact for product teams as it relates to automation, CI/CD, and Product Application Security Operations Using approved AI models and cyber harnesses to assess application code for business logic weaknesses, misconfiguration and vulnerabilities. Build tools and automation scripts that enable developers to easily consume … knowledge, experience and qualifications you need Computer Science/Cyber Security Degree Application Development background Azure DevOps experience Prior experience in using AI models and cyber harnesses to support security evaluation of application and software code. GitHub, Copilot, Codex, OWASP Top 10 for Agentic AI, AI skills development and security ...

without employer sponsorship. At Coeo, we believe data has the power to transform organizations. As one of the UK's leading Microsoft Data & AI consultancies, we help our clients unlock the full value of their data by combining deep technical expertise with business-focused consulting. Our mission is simple … over 18 years, we've specialized exclusively in the Microsoft ecosystem, helping organizations modernize their data platforms, harness the power of analytics and AI, and make better decisions faster. Today, we're at the forefront of delivering solutions built on Microsoft Fabric, Azure, Databricks, Power BI and AI technologies, enabling ...

around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job DescriptionIn AECOM's AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed … reducing waste, cutting CO2, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact. With our AI Engineering team we've created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed ...

/SDK team, you will design, develop, and deliver engaging platform features — including screensavers, static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across … This is an opportunity to shape the future of streaming entertainment through innovation and a deep commitment to engineering excellence. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive ...

Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive … Operation teams to deliver scalable data infrastructure, APIs, and services with a focus on reliability, performance, data integrity, and innovation—including the integration of AI/ML capabilities to enhance data solutions and developer productivityHow You'll Make an Impact: Lead and mentor a high-performing software engineering team, fostering ...

everyone can grow, develop and fulfil your potential with meaningful careers!!ROLE SUMMARY:Are you an experienced data scientist with a passion for productionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists … love to talk to you! As a Senior Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems. We are looking for an experienced data scientist with the proven ability to manage project timelines and deliver high-quality code that aligns ...

decision is real, and the advantage of getting it right is significant. Rules-based systems and legacy platforms are being challenged by purpose-built, AI-driven solutions. Whilst the outcome of this challenge isn't immediately clear we need someone who can navigate the complex set of options, define, design … early, and drive progress without being pushedConsulting or client-facing delivery experience is a strong advantageExposure to GenAI applications in decisioning — personalised content generation, AI-driven offer selectionPreferredExperience evaluating purpose-built decisioning solutions and contributing to capex/opex business casesFamiliarity with real-time streaming technologies in a decisioning contextAwareness ...

Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will join the Applied AI/ML Software Engineering team, collaborating with technology teams across the firm, contributing to both new and ongoing projects. As a Software Engineer III at JPMorganChase within … skills, with the ability to convey design choices and communicate effectively with stakeholdersFamiliarity with Machine Learning Operations (MLOps)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine ...

with Front Office Traders, Model Quantitative Analysis (MQA/Quants), Market Risk, and Operations teams to build scalable solutions and integrate next-generation Generative AI and Agentic AI workflows into the development and trading lifecycle. Key Responsibilities 1. System Engineering & Architecture Architect, build, and optimize scalable, resilient, and high-throughput …/pricing requirements into production-ready software. Collaborate closely with MQA (Quantitative Analysts) to integrate pricing models, risk calculators, and real-time analytics. 3. AI & Innovation Driver Champion the adoption of Generative AI and Agentic AI frameworks within the software development lifecycle (e.g., automated code reviews, synthesis, workflow orchestration, agent ...

culture of quality across the department, fostering relationships with each delivery team and continuously evolving testing practices including thorough and thoughtful adoption of AI tooling to enhance, speed, coverage and rigour. Location: Letchworth. All members of the Technology organisation are Remote Workers, working in a hybrid capacity at home … Plan, design, and execute functional, regression, integration, and user acceptance testing across multiple delivery teams within Data Platforms and Analytics (Data Platform, Middleware, Analytics AI and Automation). Develop and maintain test strategies, test plans, test cases, and test data sets aligned to each platforms delivery cadence and risk profile. ...

development of business cases through data‐driven evidence and insight. Collaborate Across Functions Work closely with Performance & Process Analytics leaders, Digital Manufacturing teams, Data & AI teams, and business stakeholders. Translate business requirements into analytical solutions and reporting requirements. Contribute to the continuous improvement of analytics standards, processes, and tools. Share … degree, or equivalent experience, in Data Science, Engineering, Supply Chain, Operations, Computer Science, or a related field. Experience applying analytics, digital solutions, or AI to solve business and operational challenges. Strong problem‐solving skills and ability to translate business needs into practical solutions. Experience improving supply chain, manufacturing, quality, logistics ...

thrive. Your day at NTT DATA We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data & AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role … data visualisation, and DevOps principles. Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA). Exposure to machine learning and AI integration within modern data platforms. Experience, Qualifications, And Education Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4+ years ...

Working With**As an AWS Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership … will leverage your expertise in AWS analytics and data integration services to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database ...

innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!! ROLE SUMMARY: We are building scalable AI products and platforms that require reliable cloud infrastructure, efficient delivery pipelines, and strong operational engineering. Join us and help shape the technical foundation behind our next … generation of AI products! As a Lead DevOps Engineer, you will own the technical direction of our cloud infrastructure, delivery platforms, and operational capabilities. You will remain hands‐on across the engineering lifecycle, from architecture and infrastructure design through deployment, observability, incident response, and continuous improvement. We expect ...

developers producing bug fixes and new releasesBe self-motivated with the ability to prioritise engineering decisionsContribute to modernising DevOps practices through automation and AI-assisted engineering capabilitiesKey ResponsibilitiesDesign, implement, and lead CI/CD pipelines (GitLab, Jenkins)Automate infrastructure provisioning and configuration management (Ansible, Terraform)Develop and maintain containerised applications … auditsTroubleshoot issues across development, testing, and production environmentsMentor and guide team members to promote continuous improvementDrive POCs and onboarding of new tools, including AI-assisted development and intelligent automationExplore and implement AI-assisted automation to enhance DevOps workflows and developer productivity. Support development of intelligent automation tools/agents ...

science across teams. Lead complex, multi-team technical initiatives and influence organisational direction through technical authority. Evaluate and integrate emerging approaches including generative AI, Agentic AI, advanced optimisation, and scientific computing into scalable solutions. Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities. Mentor senior … approach. Desired Deep experience in applied machine learning science including developing novel algorithms and translating research into deployable, production-grade ML products. Experience applying AI/ML to scientific, engineering, or R&D workflows encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows. Strong experience with generative AI ...

data processing. Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least … Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help ...

grow, belong and thrive. Your day at NTT DATAWe are seeking an accomplished and highly skilled Snowflake Solution Architect to join our Data & AI practice. The successful candidate will bring deep expertise in designing and implementing Snowflake-based cloud data platforms that are scalable, secure, and business-aligned. This individual … pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Snowflake's capabilities to enable data democratisation, advanced analytics, and AI-driven insights. As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Snowflake strategies, design robust architectures, and implement ...

cutting-edge Drug Development Data Science & Advanced Analytics (DSAA) team. This is a rare opportunity to operate at the intersection of advanced analytics, AI/ML innovation, and clinical science — driving both strategic direction and hands-on execution across early-to-late phase drug development programs. As a senior scientific … diverse, high-dimensional datasets across therapeutic areas and development phases — including genomics, proteomics, imaging, and flow cytometry Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts Lead application of rigorous statistical approaches to clinical ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...