1,426 to 1,450 of 23,254 AI Jobs

statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative AI agents. Preferred qualifications PhD degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using … address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers. In this role, you will design statistical and machine ...

excellent opportunity for an engineer with strong Python and SQL skills who wants to build broader expertise across software engineering, cloud, data engineering and AI-enabled applications . Rather than focusing on one part of the technology stack, you'll work across backend services, APIs, databases, data pipelines and cloud … migration 🐍 Python development 🗄️ SQL, databases & data platforms 🔄 Data pipelines & ETL/ELT 🔌 APIs & backend engineering 🚀 CI/CD & production systems 📊 Analytics & modern data platforms 🤖 AI/ML and emerging AI technologies It's a strong opportunity for someone early in their career who wants to develop into a well-rounded ...

Senior Decision Scientist Location: BrightonDepartment: Data & AnalyticsPosition type: Full-time, hybridThe roleMPB is investing seriously in data and AI as a core part of how we operate - utilising emerging tools and technology, a modern stack built on solid foundations, a growing team and executive commitment to data driven customer experiences. … clear metrics, targets, and dashboards to track feature performance.Art of the possible & POC mock-ups. Create fast, lightweight demos to show how data and AI could improve the customer experience.Build product features and data products. Develop production-ready, data-driven features that customers interact with.Experimentation rigour. Lead A/ ...

Azure, or GCP). You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. The Impact You Will Have Guide strategic customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design … Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real‐time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade‐off analysis Track record of driving platform ...

frontend frameworks. Integrate third-party services and internal APIs; document every integration cleanly. Implement and maintain reporting using SSRS and Power BI. Participate in AI integration initiatives - Azure Agentic AI services, Copilot tooling, and chatbot integrations where applicable. Quality, Documentation, and Support: Write code that your teammates can read … public-sector systems. Strong understanding of compliance, auditability, and data sensitivity. Familiarity with ADA/WCAG 2.1 AA accessibility standards. Exposure to Azure Agentic AI services or integration of AI-driven features in production applications. Experience with middleware platforms such as Boomi or MuleSoft. Background working with PII data ...

Agentic AI Observability Tool Co-founder took prior company from zero to $5.7B QSBS Equity This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $300,000 - $350,000 per year … about us: Backed by over $21M in capital from leading investors, they are building a next-generation AI product designed to transform how reliability engineering is done. The founding team includes senior leaders and technical pioneers from industry giants like AWS, Cisco, VMware, and Gigamon - holding dozens of patents ...

Lead migration of mature C/C++ codebases to modern languages, runtimes, and UI/UX frameworks while preserving scientific accuracy and performance. Leverage AI-assisted development — Actively adopt AI-powered tools (e.g., Copilot, code-generation, automated testing assistants) to accelerate delivery and improve code quality. Collaborate on architecture — Partner … progress in a timely, structured manner to technical and non-technical stakeholders. Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product. Required Qualifications 3+ years of professional software engineering building and shipping complex, production-grade applications — not solely scripting ...

ensuring that technology changes are executed on time, within scope, and to the highest standards. The role will also help shape the adoption of AI-augmented delivery practices, balancing automation, governance, and human oversight to improve delivery effectiveness across the enterprise. The Role: Project & Delivery Management Lead … proactively resolve issues and dependencies. Drive adoption of Agile, DevOps, and other modern delivery methodologies. Identify and implement opportunities to improve delivery efficiency through AI-assisted workflows and automation, including reporting, work item management, meeting summarization, documentation generation, and stakeholder communications. Stakeholder & Team Leadership Serve as the primary liaison between ...

execution for changes impacting pricing, booking, and risk, including test strategy, defect triage, evidence collection, and sign-offsDrive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patternsApply knowledge … Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation valueMaintain strong release discipline, including regression assessment, rollback/fallback planning, post-deployment verification, and observability improvementsGather and synthesize data and telemetry to develop reporting and metrics that improve stability, quality, and delivery predictabilityIdentify hidden ...

passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.This innovative role focuses on developing conversation-based … data-driven insights to continuously improve our systems.Key job responsibilitiesAs a Data Scientist, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those ...

inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.This innovative role focuses on developing conversation-based, multimodal … systems.Key job responsibilitiesKey job responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based ...

tangible impact around the world.We're one global team driven by our common purpose to deliver a better world. Join us.Job DescriptionIn AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed … engineered; reducing waste, cutting CO2, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.With our AI Engineering team we’ve created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed ...

Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel. Introducing the Trainline Machine Learning and AI Team Machine learning sits at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our models power … most important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working ...

part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered … AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive ...

about data at Flash Pack has changed. Our leadership team used to come to the Data team for a dashboard, now they ask an AI agent for the numbers directly. That means the models and definitions underneath now decide whether an answer comes to them right or wrong! That … Data Lead: what we build next, and why Owning our dbt project, the warehouse and the semantic layer that powers Lightdash and our AI tools: one consistent set of models the whole business reads from, with access scoped so people and agents see only what they should Keeping the answers ...

Europe, now is the perfect time to join us on this high-speed journey. Introducing the Trainline Machine Learning and AI Team Machine learning sits at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our models power some of the most … important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working closely ...

business units identify prospects, prioritize opportunities, retain accounts, and deliver differentiated customer experiences. A key part of the role is evaluating and integrating emerging AI capabilities — including LLM-powered features, AI agent frameworks, and MCP servers — to accelerate both internal tooling and customer touchpoints. You'll join an existing Senior … proof-of-concepts for new tools and technologies,evaluating their fit for the platform architecture, and presenting technicalrecommendations to the team. This increasingly includes AI-powered capabilities: evaluating LLM APIs (such as Anthropic Claude or OpenAI), building MCP servers toexpose internal data to AI agents, and prototyping agentic workflows that ...

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 … automation, and DevOps tooling across Fitch Group. The role itself will be dedicated to ensuring excellence in Fitch Ratings services, with focus on new AI development. How You'll Make an Impact: You'll lead the delivery of reliable, scalable, mission-critical services. You'll guide squads on Kubernetes ...

capability and attention to detail Clear communicator with strong interpersonal skills High integrity and alignment with BlackRocks fiduciary culture Desirable skills Knowledge of leveraging AI for code generation and building agents Knowledge of Spring, Spring Boot, REST APIs and microservices Experience with a relational database like MS SQL Server, PostgreSQL … 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 ...

market insight needed to shape and prioritise roadmap capabilities. Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor … major public cloud environments (AWS, Azure, or GCP).Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. ...

AIOps capabilities, and driving automation across both application and infrastructure lifecycles. This role combines Cloud Engineering, DevOps, SRE, and AIOps practices, leveraging automation, AI-assisted operations, and self-healing capabilities to improve platform reliability, operational efficiency, and service availability. Key Responsibilities: Design, deploy, and support scalable, resilient, and self-healing … other programming languages. Experience administering source control systems such as Git. Experience supporting cloud-based applications and infrastructure in production environments. Practical experience using AI-assisted engineering, automation, or operational tooling. Understanding of AIOps concepts including automated remediation, event correlation, and intelligent monitoring. Exposure to AI agents, agentic workflows, AIOps ...

communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. 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 ...

grow, develop and fulfil your potential with meaningful careers. About the RoleWe are seeking a highly skilled and hands-on Senior Java Engineer with AI proficiency to help build the next generation FTSE Russell Index Platform. This platform underpins the calculation and distribution of FTSE Russell's global family … data processing, and deep collaboration across global teams. This is a deeply technical role focused on designing, building, integrating, and operationalising modern software and AI driven capabilities across internal platforms and client facing products. You will work with innovative technologies, contribute to complex algorithmic design, and drive engineering excellence ...

business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.How will I use AI at Roku At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive … workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain ...

agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award … monitoring, and operational support. Design integrations and data boundaries with enterprise service management systems. Participate in code reviews, Agile ceremonies, and technical discussions. Use AI-assisted development tools responsibly and ensure all code is reviewed, tested, and secure. Essential skills and experience: Strong commercial experience in enterprise software development. Experience ...