426 to 450 of 21,757 AI Jobs

achieving our ambition to be a net zero company by 2050 or sooner. Role Purpose Lead the technical design, development and deployment of enterprise AI-enabled solutions aligned to People & Culture priorities Own service integrity, operational excellence, and governance across AI and digital people platforms Handle and partner with external … centres to deliver scalable, compliant solutions globally Act as a link between engineering, product, data science ensuring solutions move beyond prototypes into sustainable production AI & Engineering Leadership Design, develop and maintain production-grade AI applications and services using modern engineering practices (cloud-native design, CI/CD, testing, observability). ...

achieving our ambition to be a net zero company by 2050 or sooner. Role Purpose Lead the technical design, development and deployment of enterprise AI-enabled solutions aligned to People & Culture priorities Own service integrity, operational excellence, and governance across AI and digital people platforms Handle and partner with external … centres to deliver scalable, compliant solutions globally Act as a link between engineering, product, data science ensuring solutions move beyond prototypes into sustainable production AI & Engineering Leadership Design, develop and maintain production-grade AI applications and services using modern engineering practices (cloud-native design, CI/CD, testing, observability). ...

Liberty Wines is transforming its data estate, migrating from on-premises platforms to a modern cloud-based analytics environment while expanding its AI and machine learning capabilities. Working alongside an experienced data consultancy, we are building a greenfield analytics platform using technologies such as BigQuery, Snowflake, dbt, Looker and Omni. … layer) and build stunning dashboards used by Sales, Buying, Ops & Finance Optimise datasets for performance, cost, and freshness (partitioning, clustering, and incremental models). AI/ML Enablement Work with Liberty’s AI & Automation Dev Team to prepare and expose curated data to our AI/ML toolsets and workflows. ...

. Familiarity with AKS, Docker, or containerized ML environments. Understanding of data governance and security in cloud environments. Experience with AI Foundry, Gen‐AI, Fabric. Soft Skills Strong verbal and written communication. Good documentation and presentation skills. Ability to handle pressure and prioritize effectively in live support environments. Work Hours … during critical deployments or outages. Benefits Be part of a high‐impact team managing enterprise‐scale Azure solutions. Work on the intersection of data, AI, DevOps, and automation. Opportunities to grow across data engineering, MLOps, and cloud automation. A dynamic, learning‐focused work environment with cutting‐edge tools and processes. ...

clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating … digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. ...

forefront of accelerating the firm's data and analytics journey. You will partner across business, technology, and operations to make high-quality, AI-ready data available at scale - driving transparency, trust, and adoption across the data lifecycle. This is a high-visibility role where your work directly enables innovation, regulatory … solve complex data challenges, while collaborating with senior stakeholders to deliver measurable results. Job responsibilities Provision new and differentiated data assets to support AI and analytics initiatives, partnering with use case owners to define requirements, manage product dependencies, and accelerate delivery through AI-enabled data tooling Drive executive visibility into ...

Exchange (HIE) principles. Experience of REST APIs, web services and systems integration. Experience with source control, DevOps practices and CI/CD pipelinesFamiliarity with AI technologies, including Generative AI, Large Language Models (LLMs), and their practical application within software development and healthcare technology. Experience integrating AI-powered services or APIs … into software solutions. Knowledge of AI governance, security, privacy, and responsible use, particularly within regulated environments such as healthcareKey AttributesDrive - The desire to succeed, willingness to go the extra mile, passion for results, healthy sense of competition. Decision making and judgement - Identifies critical factors to consider when makings decisions; prioritizes ...

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 productivity How You’ll Make an Impact: Lead and mentor a high-performing software engineering team ...

data quality management activities. Contribute to the adoption and utilisation of strategic technology platforms, including Snowflake, AWS-based data services, Python, SQL, and AI-enabled productivity and analytical tools. Prepare materials and presentations for governance forums, senior management, and regulatory engagements. Analyse large datasets and identify opportunities to improve reporting … Familiarity with Agile methodologies and tools such as JIRA and Confluence. Experience using SQL, Python, Snowflake, or cloud-based data platforms. Interest in applying AI and automation to improve reporting, analytics, and business processes. Experience with Tableau, Alteryx, or similar analytical tools. #J-18808-Ljbffr ...

gaming or entertainment industry Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc Contributions to open‐source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle) Experience with training and fine‐tuning large‐scale foundation models (e.g., GPT, BERT … various tasks Publications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLR What you’ll be doing: Technical Expertise: Design, develop, and deploy advanced machine learning models to solve complex business problems Stay updated with the latest trends and advancements in machine learning and AI technologies Conduct code ...

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 ...

work across the full stack of modern data engineering ranging from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling and you'll help shape the technical foundation that underpins our retail media platform at scale. You'll partner closely with data scientists, analytical engineers … TopRank Sponsored Listings data platform on BigQuery and dbt, a semantic layer serving Tableau and Looker Studio, Snowplow-based event attribution infrastructure, and agentic AI tooling for Post-Campaign Analysis. You'll have the opportunity to work on all of it. Critically, this role operates in a highly cross-functional ...

Microsoft technologies. This is a hands‐on development role focused on building, testing and supporting solutions while gaining experience in modern platform capabilities, including AI‐enabled features where appropriate. What that means day to day Develop and maintain Dynamics 365 solutions, including customisations, plugins (C#), JavaScript, workflows and integrations. Configure … with developers, architects and business teams to deliver enhancements and improvements. Continuously develop technical skills and knowledge of Dynamics 365, Power Platform, Azure and AI related technologies. Identify opportunities to improve processes, automation and user experience through platform capabilities. Support the adoption of AI‐enabled features within Dynamics ...

high-visibility, high-ownership engineering work with a direct line to business impact. You'll also play a key role in shaping how AI consumers interact with structured financial data, treating them as first-class stakeholders alongside finance teams. More specifically, you will: Design and build the Snowflake schema … grows Write dbt YAML documentation - table descriptions, column definitions, and grain statements - as a first-class production deliverable, recognizing that documentation quality directly determines AI answer accuracy Own row-level security and model freshness SLAs for real-time AI queries, treating AI consumers as first-class stakeholders alongside finance What ...

shaping the overall system architecture. You will collaborate closely with cross‐functional teams following Agile practices, delivering scalable and maintainable solutions that power our AI‐driven products and client deployments. Key Responsibilities Design, build, and maintain high‐performance backend API services using Python, FastAPI, and Pandas. Develop clean, well‐documented … tested code. Preferred Qualifications Frontend experience using React is a plus. Knowledge of SAP systems and integration patterns is advantageous. Familiarity with LLMs and AI/ML integration patterns is a plus but not mandatory. Experience working in cross‐functional, remote, or distributed engineering teams. Exposure to containerization of Applications ...

founding team. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results … offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

efficiency, controls, and business outcomes.Lead project workstreams and support enterprise initiatives involving ERP, consolidation, planning, reporting, and finance technologies.Identify and implement opportunities to leverage AI, advanced analytics, and emerging technologies to improve business processes, decision making, and financial insights. Data & Technology Enablement Partner with Finance, IT, and data teams … knowledge sharing, continuous improvement, and adoption of emerging technologies across the Finance organization.Serve as a trusted advisor on finance systems, analytics, data management, automation, AI, and transformation best practices.Support change management, training, and adoption activities associated with new processes, systems, and technologies. Technical/Functional Skills:Required: Experience working with ...

about turning complex data into powerful insights and innovative solutions? At esure, we’re looking for an Analytical Engineer to join our growing data & AI function and play a pivotal role in shaping the future of our data platform. You’ll be working alongside a talented team of Data & AI … Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, your work will directly influence how we harness data to drive smarter decisions and better customer outcomes. This ...

platformsMentor and review work of other engineers to promote best practicesCreate durable, reusable software frameworks and patterns leveraged across teamsDesign and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controlsEstablish engineering standards for LLM-based applications, ensuring safety and reproducibilityDrive adoption of advanced technical methods … continuous improvementRequired qualifications, capabilities, and skillsPractical experience delivering system design, application development, testing, and operational stability at enterprise scaleExperience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environmentsProficiency in one or more programming languages, particularly Python and/or PySparkAdvanced knowledge ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes … clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, weve provided guidanceon when and how to use AI during ...

industry knowledge and hands-on experience in designing complex enterprise and customer-facing solutions—leveraging cloud platforms, APIs, microservices, data, and emerging GenAI & Agentic AI technologies. You’ll also play a leading role in pre-sales initiatives, architecture governance, and end-to-end solution delivery within the practice and with … complex technical concepts and solution value to both technical and non-technical stakeholders, including C-level executives.Identify opportunities for accelerators, reusable assets, partnerships and AI-assisted engineering to improve speed, quality and client value.Your Skills:Essential experienceProven experience as a Mobile Solution Architect, Mobile Architect or senior mobile technology leader ...