226 to 250 of 23,007 AI Jobs

automation, and partner with engineering teams to build quality in from the ground up rather than test it at the end. We are an AI‐enabled engineering team, and we believe the future is about empowering engineers with the latest tools, building through custom skills, agents, and harnesses … looking for people who embrace AI, are excited about the future, and want to shape the way we embed AI tooling throughout our developer experience. If you are passionate about quality engineering, comfortable using AI tooling to work faster and smarter, and want to shape testing practice in a fast ...

uplifting existing data. This role requires a unique combination of deep technical expertise, strategic thinking, and collaborative leadership to make data available for AI/analytics, provide transparency into data flows, embed preventative controls, and enrich metadata to accelerate adoption. Job Responsibilities Provision New/Different Data - Make data available … AI and analytics initiatives, working closely with use case owners to define requirements and manage product dependencies Provide transparency and visibility into bottlenecks and progress in making AI-ready data available for innovation, Collaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment ...

develop and fulfil your potential with meaningful careers.**ROLE SUMMARY:**We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes.You will work closely with software engineers, SREs, product managers, platform teams … business stakeholders to identify opportunities, build predictive models, evaluate AI solutions and take products from concept through to production.The ideal candidate combines strong technical expertise with commercial awareness and the ability to translate complex data into actionable insights and measurable business value.## **WHAT YOU'LL BE DOING:**### AI & Machine ...

challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. AI & Digital Factory As part of our evolution at AI & Digital Factory, we are increasingly helping clients to design and deliver AI‐enabled products and services. … This includes supporting organisations to: Identify and prioritise AI and data‐driven opportunities Embed automation and generative AI capabilities into digital platforms and architectures Deliver more intelligent, scalable and insight‐driven solutions Navigate emerging considerations such as data, governance, and responsible use of AI Our Technical Business Analysts play ...

solutions, built on our Power BI and Microsoft Fabric analytics platform. Over time, the role will expand into other innovative data solutions, including AI- and machine learning-driven insights and other statistical techniques. This role requires close collaboration with product managers, product owners, data engineering, and other internal and external … embedded analytics capabilities, including personalization. Design, and at times build, analytics content within our Power BI and Microsoft Fabric environment. Identify opportunities to apply AI and machine learning — such as natural language querying, automated insights, or predictive analytics — within the GRC analytics experience. Assist in the upskilling of the Custom ...

Palantir Foundry. You'll drive the engineering plan for complex feature areas, lead code and design reviews, and work closely with data scientists and AI engineers to get prototypes into production. Mentoring the engineers around you is a big part of the job too. What You’ll Be Doing … This Role Design the technical solutions that tie together data pipelines, models, and user-facing experiences into one coherent product. Break complex analytics or AI feature areas down into clear engineering plans, and flag technical risks before they become problems. Lead code and design reviews, helping the team sharpen ...

scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. Apply AI tools and techniques to improve Solution Architecture practices including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation. Ensure full conformance with firm-wide … benefits and importance of Solution Architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums. Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive ...

leadership to guide cutting-edge projects, fostering growth and innovation in a dynamic environment. As a Lead Technical Program Manager in Corporate Technology, AI/ML Data Platforms team, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. … while effectively managing the dynamic landscape of GenAI. Experience in organizational operation, Excel data analysis, and organization budgeting & planning Experience or exposure in the AI ML, Data ecosystem space Expertise on the AI and data product lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring ...

business outcomes. The ideal candidate combines deep industry expertise with broad technical leadership across Enterprise Applications, Cloud Native modernization, Cybersecurity & Zero Trust architectures, Data & AI transformation, and emerging digital platforms. The Account CTO/Enterprise Architect will collaborate with account teams, delivery organizations, alliance partners, and client stakeholders to define … Chief Digital Officers, and business executives to shape strategic technology investments. Lead enterprise architecture governance and technology decision frameworks. Identify innovation opportunities leveraging cloud, AI, IoT, advanced analytics, automation, and digital platforms. Enterprise Architecture & Solution StrategyDefine target-state enterprise architectures spanning applications, infrastructure, security, integration, data, and operations. Lead architecture ...

Senior Data Engineer at Unisys - Milton Keynes Are you an experienced data engineer with a passion for Generative AI and AI/LM technologies? Unisys is seeking a talented Senior Data Engineer to join our team in Milton Keynes, Buckinghamshire. In this role, you will be responsible for performing … Senior Data Engineer position? We are seeking an experienced, hands‐on Senior Engineer with specialized skills in developing applications and a flair for Generative AI and AI/LM technologies. What does a Senior Data Engineer do at Unisys? A Senior Data Engineer performs research, analysis, and development functions ...

supporting production systems and business-critical services. Desirable skills and experience: Microsoft Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching ...

pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters … Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions and AI Lab Team are looking for experienced Machine Learning Engineers to join the team. In SAIL, we build state-of-the-art AI solutions that help ...

deployment, and post-release validationDevelop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvementDrive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting … reuse of effective patternsApply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automationRequired qualifications, capabilities, and skillsBachelor's degree or equivalent practical experienceHands-on experience delivering system design, application development, testing, and operational stability in an agile environmentProficiency ...

post-release validation Develop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvement Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting … reuse of effective patterns Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation Required qualifications, capabilities, and skills Bachelor's degree or equivalent practical experience Hands-on experience delivering system design, application development, testing, and operational stability ...

driven transformation, educate stakeholders, and manage high‐performing data capability to support a data culture across Silverstone and its stakeholder groups, including promoting practical AI literacy in tools such as Microsoft Copilot and Claude. Key Responsibilities Data & Platform Engineering Build and evolve a scalable, secure data platform integrating key sources … continuous improvement of self‐service capability. Build a data community of practice to share best practice, success stories, and reusable assets across teams. Promote AI literacy across the business, including practical and responsible use of tools such as Microsoft Copilot and Claude to improve productivity, insight generation, and decision‐making. ...

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 ...

producing bug fixes and new releases Be self-motivated with the ability to prioritise engineering decisions Contribute to modernising DevOps practices through automation and AI-assisted engineering capabilities Design, implement, and lead CI/CD pipelines (GitLab, Jenkins) Automate infrastructure provisioning and configuration management (Ansible, Terraform) Develop and maintain containerised … issues across development, testing, and production environments Mentor and guide team members to promote continuous improvement Drive POCs and onboarding of new tools, including AI-assisted development and intelligent automation Explore and implement AI-assisted automation to enhance DevOps workflows and developer productivity. Support development of intelligent automation tools/ ...

audit specialist within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims … execution, leveraging large datasets to drive insight and risk identification. Act as a champion for innovation within Internal Audit, particularly in the use of AI and automation to improve audit efficiency, coverage, and quality. Stakeholder Engagement Build effective relationships with IT, security, data, and business stakeholders across the organisation. Provide ...

business by “closing the loop”—ensuring data isn’t just sitting in a dashboard but is actively driving operational tools and decision-making. AI Integration: Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and explore new ways to enhance data quality. Stakeholder Engagement Act as a consultant … performant queries. Python Literacy: Not a software developer, but you must be comfortable reading code, writing scripts for data manipulation, and handling API. AI Comfort: You are an “AI-first” builder who is comfortable using AI tools (e.g., Cursor, GitHub Copilot, LLMs) to write code faster, debug, and stay ahead ...

Data Analytics Manager by applying and role-modelling technical standards, contributing to complex analysis, and introducing new techniques including the practical application of AI tools within the analytics workflow. Key Responsibilities Acting as the senior analytics business partner to one or more underwriting classes, proactively identifying where analytics can improve … scoped analyses and dashboard requirements, and collaborating with the wider business to identify opportunities for automation and operational efficiency gains. Identifying and applying practical AI tooling within the analytics workflow, including LLMs, agentic tools and code-generation assistants, with a pragmatic view on where they add genuine value. Embedding ...

audit specialist within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims … execution, leveraging large datasets to drive insight and risk identification. Act as a champion for innovation within Internal Audit, particularly in the use of AI and automation to improve audit efficiency, coverage, and quality. Stakeholder Engagement Build effective relationships with IT, security, data, and business stakeholders across the organisation. Provide ...

site. Engineering platforms, databases, and data pipelines as part of broader delivery solutions. Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc. Writing or supporting software solutions that implement data science models, tools, and techniques. About the role: As a Senior … data. Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding. Use data science techniques, including ML/AI, to design and build solutions to customer problems, and work with software developers, data engineers and testers to implement and assure them. Work with data ...

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 ...

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 ...

uniquely positioned to future-proof organizations against any cyber challenge. If that excites you, read on! Immersive is the cyber proving ground for the AI enterprise. Through Immersive One, organizations can test whether people, AI-enabled workflows, cyber security teams, agents, and leaders can perform securely under realistic pressure, then … benchmark, and report readiness. Trusted by 30%+ of the Fortune 100 and ranked #1 in the Forrester WaveTM 2026, Immersive helps organizations prove AI can be adopted safely, teams can develop and defend at AI speed, leaders can lead through crisis, and AI agents can be validated before they ...