1,401 to 1,425 of 21,792 AI Jobs

looking for a Staff Engineer to lead the technical delivery of complex software, data, and AI projects, focusing on the Defence sector. This role combines deep technical expertise with project leadership and client engagement. You will quickly grasp new problem spaces, work with domain experts, and deliver robust, production-ready … engineering decisions. Oversee the delivery of high-quality, maintainable and production-ready code. Design and develop backend services, APIs, data pipelines and integrations. Build AI systems, including solutions using Large Language Models and machine learning. Review code and technical designs Apply software engineering best practice including Git, Docker, CI/ ...

specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate … robust AI systems. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. Machine Learning Engineer role You will combine current knowledge of Spiking Neural Networks with strong C++ software development skills to transform advanced research into ...

experience required Overview We are seeking a hands-on Software/Data Engineer to join a modern data platform team delivering analytics, reporting and AI-enabled solutions. This role is primarily focused on Snowflake, Azure, Python and CI/CD, with some exposure to .NET/C# and React/… best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation and data processing. Azure DevOps or GitHub. Experience using AI development tools such as GitHub Copilot or Microsoft Copilot. Financial Services, Asset Management or Wealth Management experience .NET/C# React/Typescript Desirable Skills ...

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 ...

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 HaveGuide 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 analysisTrack record of driving platform adoption ...

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. … 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 ...

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 ...

Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world’s most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized … across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don’t just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security ...

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 … 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 ...

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 ...

governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. The Role At Canopius, our delivery teams are responsible for ensuring that business users can effectively harness data insights … governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. This role is an opportunity to apply and develop your expertise in analytics engineering, data modelling and visualisation to build ...

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 ...