1,426 to 1,450 of 21,578 Permanent AI Jobs

Onsite: 2-3 days a week Seeking £45,000 - £50,000 but negotiable Experience: 2 years + experience Tech Stack: Python, react, typescript, JavaScript, AI agents such as Claude About the role As Software Developer and a prototyping engineer where you build and maintain the web applications and backend services … closely with Front End Developers on integrating user-facing elements with server-side logic, and with the wider engineering team on the platforms our AI/ML models and IoT devices depend on. This is a broad, hands-on development role in a small team you’ll work across ...

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 … 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 ...

closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will … Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock ...

closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will … Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock ...

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 ...

closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will … Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock ...

closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will … Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock ...

distributed systems and modern UI/console experiences, improving operational excellence through automation, strong software development lifecycle discipline, and responsible use of enterprise-authorized AI-assisted engineering tools. Join a team where your engineering contributions directly impact how we serve clients and drive innovation at scale. At JPMorganChase, you will … datasets, logs, and telemetry to identify patterns, build visualizations and reporting, and reduce repeat incidents via preventative controls, automation, and enhanced observabilityLeverages 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 ...

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 ...

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures … more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. ...

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 ...

This is a hands‐on delivery role for a Manager who designs, builds and deploys Microsoft AI and agentic solutions for financial services clients. The role owns delivery workstreams from design and use‐case decomposition through configuration, build, integration, testing, pilot, deployment and adoption, working to the target architecture agreed … select the right boundary between Microsoft 365 Copilot, Copilot Studio, Cowork, Autopilots and Power Platform, and to recognise when a use case needs Azure AI Foundry, Azure OpenAI Service or custom Azure components and should be escalated for architectural design. Strong relationships with Microsoft teams are important. The Manager will ...

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 ...

Product Owner, you will contribute to the technical direction of established production software while supporting the adoption of modern development practices, cloud technologies and AI-assisted engineering tools. Key Responsibilities Design, develop and maintain complex desktop and cloud-based software applications. Develop high-quality production software using C# and .NET … SOLID principles. Produce scalable, maintainable and well-tested software solutions. Contribute to automated testing, version control, code review and CI/CD processes. Use AI-assisted development tools, including code-generation and automated-testing technologies. Work with the Product Owner and Team Lead to translate business requirements into robust technical ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 — coding ...

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 ...

build a better working world. The opportunity This is a hands‐on delivery role for a Manager who designs, builds and deploys Microsoft AI and agentic solutions for financial services clients. The role owns delivery workstreams from design and use‐case decomposition through configuration, build, integration, testing, pilot, deployment … select the right boundary between Microsoft 365 Copilot, Copilot Studio, Cowork, Autopilots and Power Platform, and to recognise when a use case needs Azure AI Foundry, Azure OpenAI Service or custom Azure components and should be escalated for architectural design. Strong relationships with Microsoft teams are important. The Manager will ...