1,076 to 1,100 of 10,269 Permanent AI Jobs

With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training Real ...

With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training Real ...

With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training Real ...

With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom training Real ...

improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Staff MLE within AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving … Staff, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you would lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms and harnessing ...

your studio, your community—and the world at large. frog Data Join our frog data team and help shape the future of data and AI consulting. We help brands unlock the value and power of data and AI – through the lense of customer experience. You’ll work at the intersection … solutions focus on CX Data and AI, strategy, activation & personalisation, analytics, insights, measurement and advanced data science, turning complex data into transformative solutions that drive real impact. If you’re passionate about using data and AI to create smarter, more human experiences, this is your opportunity to lead change ...

across the business. The Opportunity This is a greenfield leadership role reporting into the Director of Delivery & Data, with a vision to create an AI-first, insight-driven organisation . You'll establish and lead an Analytics Centre of Excellence , partnering across key business areas such as performance, risk … Lead development of semantic models and datasets (Gold layer) Collaborate with Data Engineering teams Drive self-service analytics adoption Support Advanced Analytics Contribute to AI and advanced analytics initiatives Help drive a shift toward predictive, data-driven decisions What We're Looking For Experience Experience leading analytics, insight ...

Engineering, End User Experience/Digital Workplace, Enterprise Service Management, Data Centre & Infrastructure Services and Cybersecurity. In addition, the role will act as an AI value champion, working across technology domains to identify, orchestrate and position AI capabilities that create measurable business outcomes for clients. Orchestrating deals, solutions and capabilities … major sector including Financial Services, Public Sector, Manufacturing, Utilities, Transport, Telecommunications or Retail, with the ability to understand sector challenges and connect technology and AI-enabled transformation to business outcomes. Your Role Grow the CIS business in alignment with UK strategic growth ambitions through proactive opportunity identification, deal origination ...

DESCRIPTION Join a firmwide team accelerating our data, analytics, and AI journey through highly governed, high-impact initiatives. In this role, you will help define how data is made available to power new products and AI models at scale. You will partner across lines of business and corporate functions … technical concepts to senior audiences Deep domain expertise (knowledge of clients, products, services) coupled with deep expertise in the data (applications systems, BI and AI applications) used to manage and execute strategy across multiple business units Strong knowledge of data mesh architecture and data product concepts Preferred qualifications, capabilities ...

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops … Data Scientist (L5) to join our Product Data team collaborating with our Product Analysts to build deep understanding of how users engage with our AI-native products through conversation and interaction data . You will work at scale with unstructured text data - prompts, model outputs, user edits, feedback - to discover ...

Nonlinear trading desk Develops secure and high‐quality production code, and reviews and debugs code written by others Drives team adoption of enterprise‐authorized AI‐assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‐authorized AI‐assisted development and automation capabilities, to improve the value realized by automation. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

experienced Backend Developer to design, build, and maintain scalable, secure Server Side services and APIs, while contributing to the adoption of Agentic AI capabilities within our engineering platform. The role sits at SFIA Level 4: the individual works under general direction, uses discretion in resolving problems, plans and monitors their … constructive feedback. Integrate Back End services with databases (relational and NoSQL), messaging/event systems, and third-party APIs. Build, extend, and operate agentic AI workflows - integrating LLM-based agents and tools into Back End systems for automation, orchestration, and decision support. Support CI/CD pipelines, containerised deployments ...

users to understand requirements and prioritize deliverables Apply Agile development methodologies to drive projects from inception to production Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness … proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Focus on testing and quality throughout the development cycle Contribute to continuous ...

develop solutions that leverage LLM capabilities. Build intelligent solutions to support MRGR staff activities, including workflow automation and insight generation. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating … outputs through peer review, automated testing, and secure coding standards. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

Overview Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare … financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future ...

contract opportunity. We are seeking a DevOps Engineer to design, build, and maintain scalable DevOps infrastructure and CI/CD pipelines supporting AI and data-driven applications. This role will focus on DevOps, automation, and platform engineering practices to enable reliable model development, deployment, and operations across environments. The engineer … streamline workflows and ensure secure, production-ready deployments. Responsibilities: Design, implement, and maintain CI/CD pipelines in GitLab for application, data, and AI/ML workloads Build automated pipelines templates and standards (Gitlab CI/CD Catalog) for different stages in the pipeline such as model training, validation, packaging ...

offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl , Unilever and Metro. Joining the AI Strategy, Research & Enablement team, you'll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real … collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future. We're looking for a Senior Research Data Scientist to play a key role in developing dunnhumby's next-generation models across ...

offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Joining the AI Strategy, Research & Enablement team, you'll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real … collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future. We're looking for a Senior Research Data Scientist to play a key role in developing dunnhumby's next-generation models across ...

collaborative approach with the confidence to work independently when required. Desirable experience includes: Knowledge of Advanced Partner for Windows (P4W). Experience with AI technologies, automation and machine learning. Python development. Microsoft Copilot, Large Language Models (LLMs) or similar AI platforms. An understanding of how AI can enhance legal technology ...

innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI … downstream teams to integrate cutting- edge GenAI features.**About the role:**We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services ...

requirements (GDPR, BCBS 239) Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation Evaluate Snowflake‐native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate data product delivery Govern the application database landscape across – reviewing schema designs, indexing strategies, and data lifecycle … meets BCBS 239 Risk Data Aggregation and Reporting requirements Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across domains AI, Analytics & Data Products Define the architecture for data products – curated, well‐documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores ...

team and products Engage with communities of practice across Software Engineering to learn about and adopt new and emerging technologies Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating … outputs through peer review, automated testing, and secure coding standards Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Add to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities ...

including its hosting strategy, reliability and cost — governs internal and partner engineering teams to a single quality bar, and makes the BU an AI-led engineering organisation that both builds with AI and embeds AI into the products our customers use. Responsibilities and Accountabilities: Set the multi-year engineering … production incident management for shared services. Own a single, visible technical-debt backlog and ensure it is funded and burned down rather than ignored. AI – Led Engineering & AI in our Products Making CHAMP an AI-led engineering organisation is a top priority for this role. Build an AI-first engineering ...

exceed our customers’ expectations. As a Senior Software Engineer (SDET), you’ll be the transformational force that revolutionizes our testing approach. You’ll leverage AI and advanced analytics to identify quality gaps, architect intelligent testing solutions, and establish new standards for test effectiveness that go beyond simple coverage metrics. What … reoccurrence Establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability Leverage AI-powered tools for automated failure analysis, root cause identification, and test flakiness scoring Define and implement architectural patterns that make testing more effective, maintainable ...

Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof … engineering methodologies End-to-end production readiness Leverage Leading Technologies: Design and implement solutions using key partner technologies, including: Google Cloud – BigQuery, Dataflow, Vertex AI, and more dbt Labs – Modern analytics engineering and transformation Snowflake – Cloud-native data warehousing Fivetran – Automated data pipelines for seamless integration What You’ll Bring ...