1,551 to 1,575 of 21,895 AI Jobs

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 ...

mission to cut gigatonnes of carbon emissions from the world’s biggest emitting industries (like cement, steel and glass), by building autonomous AI control and optimisation systems that learn and leverage the physics of manufacturing. Our products run heavy industrial plants more efficiently, more stably, and with lower emissions … challenge? We're looking for a Principal Cloud Engineer to join our platform team and help us push the boundaries of what AI can do for the planet. Your impact Secure, repeatable deployments across enterprise cloud environments. Increasingly, Gigaton deploy cloud workloads across GCP, AWS, and Azure, so that ...

Cloud for AITM. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn … accredited Employer. What You’ll Do CoreWeave’s Inference team builds and operates the core cloud platform powering massive-scale GPU workloads for generative AI and real-time inference applications. Our stack is engineered natively on Kubernetes for maximum speed, scale, and cost efficiency- providing an industry-defining platform that ...

grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology ...

resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the RoleAs a Data Platform Engineer, you'll work alongside senior team members to tackle complex challenges, while … audiencesAble to manage multiple streams of work without losing momentumPragmatic, balancing speed with scalability and reliabilityActively looks to improve ways of working, including leveraging AI toolingInterview processInitial call with Talent teamHiring manager callTechnical interview Final interview with VP of PlatformLife at LendableWinning team: the opportunity to scale ...

models are robust, effective, and compliant with regulatory requirements. Model Validation: perform independent validation of Transaction Monitoring/Customer Risk Assessment/Screening models, AI models (built in Claude or ChatGPT), including but not limited to: Reviewing model pre & post development documentation, data quality, accuracy, access and testing methodologies. Assessing … model performance, accuracy, and stability. Evaluating model risk and identifying potential biases. Reviewing AI Models for AML/CFT Program AML/CFT Regulatory Compliance: ensure that Transaction Monitoring and Customer Risk Assessment models comply with relevant AML/CFT regulations, including but not limited to: EU AML/ ...

engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within … Core such as payments, people processes, and procurement Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk FUNCTIONALITY DESCRIPTION Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/ ...

solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting ABOUT THE ROLE As a Data Platform Engineer, you'll work alongside senior team members to tackle complex challenges … manage multiple streams of work without losing momentum Pragmatic, balancing speed with scalability and reliability Actively looks to improve ways of working, including leveraging AI tooling INTERVIEW PROCESS Initial call with Talent team Hiring manager call Technical interview Final interview with VP of Platform LIFE AT LENDABLE Winning team ...

grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology ...

Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats every day. Darktrace was built on a genuinely differentiated idea: that Adaptive AI could detect and respond to novel, real-time cyber threats. That approach matters more than ever in the era of AI. ...

development (e.g., UiPath, Blue Prism, Automation Anywhere, NICE, ServiceNow, Power Platform)* IDP (Intelligent Document Processing) (e.g., Hyperscience, ABBYY, Kofax)* NLP, ML, or AI‐enabled automation (e.g., Spacy, Azure Cognitive Services)* Low‐code platforms (e.g., Appian, Power Platform, Pega, Dynamics 365)* Workflow orchestration* Exposure to Agentic AI, IoT or emerging automation ...

this opportunity below. You’ll be central to delivering a robust, high-performing engineering foundation that powers analytics, operational data flows, and future AI capabilities across our global events and digital products. This role is primarily focused on engineering excellence, developing high-quality pipelines, modelling data in line with … Delta interoperability where required. Partner with analysts and data scientists to ensure that high-quality, well‐modelled data is available for analytics and future AI use cases. Assist with productionising ML pipelines where needed, ensuring they run reliably within Databricks. Support feature engineering and experiment environments as part ...

most significant issues facing society today, such as transition to sustainable energy, digitisation of government, scaling high-growth businesses, exploiting the potential of AI and improving wellness with digital healthcare. The core capabilities of our team include: Digital strategy, horizon scanning, and strategic planning. Working in combined teams with Business … better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams ...

Connector (KCC). Networking & Protocols: Knowledge of core systems and networking concepts (TCP/IP, UDP, HTTP, DNS, load balancing, and messaging protocols). AI & Agentic Engineering: Forward-thinking approach to automation, leveraging Generative AI and Agents (e.g., Gemini) to optimize platform operations. Analytical Problem-Solving: Data-driven mindset ...

database and ETL platforms. Build self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using modern web technologies and microservices architectures. Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniques Design and build … asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus. Good to have experience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows. Extensive experience building and optimizing data pipelines and data architectures (preferred ...

Knowledge of SQL, Python, R, or BI tools (Tableau, Power BI, etc.) Experience working with complex datasets or building dashboards Exposure to automation or AI-driven analysis ...

code 15-20 times per day!)TerraformPrometheus and GrafanaIf you have built and deployed complex Python applications or have hands-on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help ...

outcomes. Partner with Analytics Engineering to ensure KPI definitions, business logic and product instrumentation are accurate, scalable and trusted. Bring a curious eye to AI and machine learning techniques, including LLM-assisted analysis, to speed up insight generation, customer understanding and product measurement. You'll be great for this role … technical audiences alike. You're comfortable assessing trade-offs, challenging assumptions and making recommendations based on evidence. You're curious about how AI and emerging techniques can improve product measurement, experimentation, customer understanding and commercial decision-making. You're comfortable managing multiple workstreams and stakeholders, with strong prioritisation ...

markets, Article 6 and market participants. Working knowledge of carbon market data including MRV.Ability to translate business and sustainability requirements into data, technology and AI-enabled designs. Business analysis skills, including requirements gathering, process mapping and operating model design. Broader Technology DeliveryExperience in solution architecture, data management & strategy and/… better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams ...

firm's mission and support the delivery of our business plan, shaping the future of our next-generation law firm. Our in-house generative AI tool, Percy, won the ‘Innovation in Automation and AI Tools’ category at the 2024 FT Innovative Lawyers Europe Awards. This achievement highlights our commitment ...

/TypeScript Azure Cloud Services REST APIs SQL and NoSQL databases Git-based source control CI/CD pipelines Data and analytics platforms Emerging AI and Machine Learning technologies ...

Data Platform Tech Lead, you can expect to design and deliver scalable, secure and high‐performing data platforms that support analytics, operational workloads, AI and emerging use cases. Cloud platforms: AWS, Azure and GCP Modern data platforms: Databricks, Snowflake and cloud‐native data services Data architecture: Lakehouse, medallion, data mesh … code CI/CD: GitHub Actions, Azure DevOps, Jenkins and equivalent tooling Modernisation: Greenfield delivery, migration and integration of complex legacy data estates AI‐enabled engineering: GenAI‐assisted development, agentic workflows and appropriate engineering, security and governance controls. What You Can Expect Work to agile best practices and cross‐functionally ...

Data Platform Tech Lead, you can expect to design and deliver scalable, secure and high-performing data platforms that support analytics, operational workloads, AI and emerging use cases. You may work with technologies and architectural approaches including, but not limited to: Cloud platforms: AWS, Azure and GCP Modern data platforms … code CI/CD: GitHub Actions, Azure DevOps, Jenkins and equivalent tooling Modernisation: Greenfield delivery, migration and integration of complex legacy data estates AI-enabled engineering: GenAI-assisted development, agentic workflows and appropriate engineering, security and governance controls. What you can expect ð Work to agile best practices and cross ...

modernizing core data platforms across bronze, silver and gold layers, ensuring our data is reliable, scalable, secure, and ready to power advanced analytics, AI-driven insights, and executive decision making. We are transitioning from a traditional Azure Synapse-centric estate toward a Microsoft Fabric and OneLake-based architecture, embracing modern ...

modernizing core data platforms across bronze, silver and gold layers, ensuring our data is reliable, scalable, secure, and ready to power advanced analytics, AI-driven insights, and executive decision making. We are transitioning from a traditional Azure Synapse-centric estate toward a Microsoft Fabric and OneLake-based architecture, embracing modern ...