576 to 600 of 20,813 AI Jobs

modeling; Microsoft .NET technologies (C#, ASP.NET Core, REST APIs); Azure cloud solutions; GitHub Enterprise and CI/CD automation; enterprise application and API integrations; AI-enabled applications, agents, copilots, and automation solutions, along with a strong foundation in software architecture, object-oriented design, Agile development, security best practices, debugging … business functions. Preferred Qualifications: Experience in enterprise software development; Microsoft technologies including SQL Server, Power Platform, Fabric, and Power BI; Azure cloud services and AI technologies such as Azure AI, OpenAI, Copilot Studio, Semantic Kernel, and RAG architectures. Additional experience with microservices, containerization, Infrastructure as Code (IaC), cloud migration, legacy ...

enterprise product suite - a hands-on role that blends new feature development with improving and modernising complex, established systems. TRG Screen is an AI-driven engineering organisation; this role is expected to use AI tooling by default across the full development lifecycle. Responsibilities Development & Delivery Design, develop, and maintain backend … code reviews, providing constructive feedback and ensuring adherence to clean code principles. Troubleshoot and resolve complex software issues across backend and frontend. Use AI tooling as standard practice across design, implementation, code review, and testing to improve quality and delivery speed. Technical Leadership Contribute to architecture discussions and technical decision ...

global enterprise? Do you enjoy turning complex security principles into practical, scalable solutions that enable secure innovation across human, non-human and AI identities? About our Team The Central, Operations, Governance and Security (COGS) department is a RELX entity that promotes collaborative working across RELX and its business units. … Architect, you will act as design authority for Saviynt, RELX's IAM platform, across IGA, authentication and privileged access for human, non-human and AI identities. Combining hands-on Saviynt, Azure and Entra expertise with strong business acumen, you will turn principles into implementable designs and assure delivery against ...

NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500, and is recognized among the fastest growing companies worldwide. Data & AI Consulting Cognizant’s Data & AI Consulting practice partners with global enterprises to modernize data platforms, accelerate cloud transformation, and unlock business value through advanced analytics … AI-driven solutions. Our teams work across large-scale data modernization programs, helping organizations establish scalable, secure, and governed data foundations using modern cloud data platforms such as Databricks. This role offers an opportunity to lead architecture governance and design assurance for a strategic Databricks transformation program, ensuring technical excellence ...

such as Microsoft 365 through the Graph API (Outlook, Teams, SharePoint), CRMs, HR systems and document stores, using OAuth and careful secrets handling. The AI experience You work with the AI/ML team to bring LLM-powered features into the product. You build the Python layer between the product … AI services, including streaming responses, document processing endpoints and safe access for AI agents to internal services through MCP. You design the experience around AI output so investment professionals can trust and audit it, with source citations, clear provenance, edit and approve flows, feedback capture and graceful failure handling. ...

want to be at the heart of some of the biggest and most ambitious AI & Data projects? Technology & Transformation: How do you make intelligent, future-proof decisions in a world where change is the one constant? That's exactly what you'll help our clients do. You'll build trusted … position their organisations to succeed in an ever-evolving marketplace. As a Snowflake Solution Architect, you'll help shape the architecture behind enterprise Data & AI transformation programmes, defining secure, scalable and future-ready solutions on the Snowflake Data Cloud. Connect to your career at Deloitte Deloitte drives progress. Using ...

innovative data science solutions that help shape customer experiences, optimise performance and drive measurable business value. From predictive modelling and behavioural segmentation through to AI and machine learning solutions, you’ll own the end-to-end delivery of impactful data science initiatives across Greene King. Qualifications As a Data Scientist … roadmap, ensuring solutions create demonstrable commercial value across the business. Design, develop and deploy advanced data science solutions including predictive models, customer segmentations and AI/ML decision engines. Partner with Product, CRM and Digital teams to understand business requirements and translate them into actionable data-led solutions. Lead ...

define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run – standing … overseen the integration of emerging new technology platforms including cloud platforms, new enterprise applications, big data platforms and tools for advanced analytics including AI/machine learning/data science that drive business value A growth mindset AI curious and ready to embrace opportunities Desirable Experience with enterprise architecture tools ...

best practices for both clients and colleagues, mentoring team members and supporting their personal development Continuously develop your technical skills across Microsoft Fabric and AI technologies, achieving and maintaining relevant certifications Work directly with high‐profile clients across a variety of sectors to understand requirements and present solutions to senior … with modern Microsoft Fabric and Azure technologies, such as Synapse, Data Factory, Azure Data Lake Storage (Gen2), Purview, Cosmos DB, OpenAI, Azure ML, and AI Foundry Solid understanding of software engineering concepts, with hands‐on experience using Python, Scala or PySpark, data modelling techniques, database technologies, and SQL Confident communicator ...

career growth. In AMBG, you will work within a global community of Microsoft specialists, helping enterprise clients realise value from Microsoft cloud, data, AI and business application technologies. We support clients across the transformation lifecycle, from strategy and solution shaping through engineering delivery, transition to live service and ongoing optimisation … software supply‐chain controls. Establish application telemetry, logging, tracing, alerting and operational dashboards; support incident resolution, root‐cause analysis and continuous improvement. Use AI‐assisted engineering tools, including GitHub Copilot, responsibly and in line with client security, privacy, intellectual‐property and code‐review requirements. Technical delivery and leadership ...

industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real … innovative solutions quickly, while remaining flexible to accommodate evolving business needs and shifting priorities. A key aspect of this leadership role is pioneering our AI-first IT strategy - operationalizing generative AI, AIOps, automated troubleshooting pipelines, and intelligent support workflows to supercharge operational efficiency and employee productivity across Europe. This position ...

this challenge without asking teams to replace the tools they already use. Across every toolchain a customer runs, CloudBees makes each change, human or AI, visible, auditable, and accountable before it reaches production. CloudBees Unify is the product behind this: a governance layer, with context and control-plane capabilities, that … shared engineering systems that CloudBees product teams build on, and keeps them secure, compliant, and affordable. You will also lead the team in using AI to remove manual work from cloud governance and operations and shorten delivery time for the engineering teams it supports, and you will be expected ...

this challenge without asking teams to replace the tools they already use. Across every toolchain a customer runs, CloudBees makes each change, human or AI, visible, auditable, and accountable before it reaches production. CloudBees Unify is the product behind this: a governance layer, with context and control-plane capabilities, that … shared engineering systems that CloudBees product teams build on, and keeps them secure, compliant, and affordable. You will also lead the team in using AI to remove manual work from cloud governance and operations and shorten delivery time for the engineering teams it supports, and you will be expected ...

management lifecycle, from portfolio construction to implementation and monitoring. The work spans rich data-driven user interfaces, scalable cloud services, quantitative analytics and emerging AI-powered workflows.What You'll Be Responsible ForDesigning, building, testing, deploying and supporting software across the full development lifecycle.Developing front-end applications using TypeScript, React … .Understanding of asset management and financial markets, ideally Equities, Fixed Income and Multi Asset.Exposure to portfolio construction, quantitative analytics or financial modelling.Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor or similar.Experience building AI-enabled applications, including LLM integrations, RAG, tool calling or agent-based workflows.Interest ...

management lifecycle, from portfolio construction to implementation and monitoring. The work spans rich data‐driven user interfaces, scalable cloud services, quantitative analytics and emerging AI‐powered workflows. What You’ll Be Responsible For Designing, building, testing, deploying and supporting software across the full development lifecycle. Developing front‐end applications using … asset management and financial markets, ideally Equities, Fixed Income and Multi Asset. Exposure to portfolio construction, quantitative analytics or financial modelling. Experience using AI‐assisted development tools such as GitHub Copilot, Claude Code, Cursor or similar. Experience building AI‐enabled applications, including LLM integrations, RAG, tool calling or agent‐based ...

into practical data products and solutions Establish proportionate governance covering data quality, security, access and GDPR Structure the data estate to enable future automation, AI and predictive analytics Lay the foundations for a future data team, including its standards, structure and ways of working About you You may currently … Experience within professional services, a multi-entity group or another regulated environment would be particularly valuable. Exposure to Purview, third-party technology partners, automation, AI/ML or advanced analytics would also be advantageous. Why consider this opportunity? Few roles offer this combination of technical ownership, strategic access and greenfield ...

Ensure data quality, governance, security and compliance with relevant regulations. Undertake database administration activities, including performance optimisation, indexing and access management. Explore and develop AI-driven automation to monitor data pipelines and improve operational efficiency. Utilise Azure DevOps for version control, development workflows and collaboration. Work closely with Data Scientists … Experience with version control and CI/CD practices. Strong analytical, problem-solving and communication skills. Desirable Skills Experience with Azure DevOps. Knowledge of AI-driven automation and data pipeline monitoring. Experience working with large, complex datasets. Exposure to sports analytics, performance data, GPS tracking or similar datasets. Experience collaborating ...

secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data … into secure containerised environments. You will work across the full lifecycle from development through to production, shaping architectures that support operational users, analytics, and AI enabled capabilities.This role is hands on and engineering. You will write production grade code, contribute to secure platform patterns, and ensure that your data services ...

Reporting to the Head of Data Platforms, this leader owns the portfolio of governance enablement capabilities that serve as foundational services across the Data & AI ecosystem. This includes enterprise responsibility for Data Catalog, Data Dictionary/Business Glossary, Metadata Management, Data Lineage, Master Data Management (MDM), Reference Data Management … Governance Workflow Automation. These capabilities are critical to ensuring enterprise data is discoverable, understandable, trusted, compliant, and reusable by business, analytics, engineering, and AI teams. As a member of the Data Platforms leadership team, this leader will establish governance and enablement capabilities as enterprise platform products, delivering self-service experiences ...

scientific and analytical technologies. You will play a key role in modernizing platforms, driving technical excellence, and leveraging emerging technologies including cloud computing, AI-assisted development, automation, and data-driven solutions. As a senior member of the engineering team, you will collaborate with Product Managers, Architects, Scientists, and Engineers … extensibility. Ensure software quality and security through code reviews, automated testing, and adherence to engineering best practices, reducing defects and technical debt. Leverage AI-assisted development tools and emerging technologies to improve engineering productivity, innovation, and customer value. Implement and improve DevOps practices, including CI/CD pipelines and automation ...

code quality, scalability, security and performance standards are met. Drive continuous improvement and engineering excellence across teams. Champion the use of modern tools, including AI-assisted development. About You Youll be an experienced engineering leader with a strong technical background in backend or distributed systems development, ideally using Golang. Youll … stack. Collaborative and innovative engineering culture. Pension scheme. Additional benefits including birthday leave, wedding leave, charity days, and wellness initiatives. Opportunity to work with AI-driven engineering tools and modern development practices. Join the Team This is an excellent opportunity for an Engineering Manager who wants to combine technical leadership ...

software engineering, such as AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Data Scientist, or Project Management Professional (PMP) Possess knowledge of AI and machine learning methodologies, along with proficiency in AI tools and techniques, to enhance client solutions and drive innovation. Understanding of financial market data and fund ...

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part … emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play ...

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part … emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play ...

ready to drive innovation and shape the future of treasury management? Join our Quantitative Trading & Research team, where your expertise in data analytics and AI will transform the investment bank into a data-driven business. You will collaborate with senior leaders, deliver impactful solutions, and advance your career … implementation of advanced models and tools to assess risk and predict P&L. You will drive strategic initiatives using state-of-the-art AI and machine learning, partnering closely with senior stakeholders and technology teams. Your role offers significant ownership of large-scale analytics projects, automation of reporting processes ...