2,151 to 2,175 of 23,301 AI Jobs

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the blueprint. Architect the future of Wealth & Asset Management. Empower data transformation through modern, AI-enabled ways of working. The Role Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Wealth & Asset … will contribute to evolving Capco’s Wealth & Asset Management data architecture propositions and thought leadership in modern, cloud-native data ecosystems, exploring how approved AI tools, including Generative AI and Agentic AI where appropriate, can improve insight, productivity, and delivery while maintaining human oversight and responsible AI guardrails. What ...

looking for a Data Scientist to join our growing Data Science AI team at NEXT! Based from NEXT Head Office in Enderby, Leicestershire! The Role: As a Data Scientist you will play a crucial part in managing, innovating and optimising our core AI systems and large scale product catalogue (Data … NEXT. We are looking for someone with a strong grasp of data science techniques who can build robust models while communicating findings and new AI strategies effectively to various stakeholders. What Youll Take On: Innovate and optimise complex data feeds, ensuring high quality, relevance and performance of our data feeds ...

This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. The client Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (NASDAQ:MTSR), Areteia Therapeutics, and Corsera Health—we’re building the future of population health. … learning across Onsera’s platform, leveraging complex healthcare data—claims, clinical records, and real-world evidence—to power population risk stratification, predictive modeling, and AI-driven decision support. You’ll be a strong independent applied research operator capable of tackling greenfield projects end-to-end while shaping the strategic direction ...

related technologies Advocate for and implement firmwide frameworks, tools, and practices within the Software Development Life Cycle Promote adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed Encourage diversity, inclusion, and respect within the team culture Apply knowledge of automation tools and AI … Hands-on expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise-authorized AI-assisted software development tools Strong understanding of responsible AI ...

IDAs a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally … Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integrationTransformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading ...

Machine Learning Engineer, Platform London, UK Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems … infrastructure teams to shape the direction of the platform. Ideally you'd have: 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent ...

drive performance and resiliency improvements, and automate recurring problems to strengthen operational stability. This role offers the opportunity to grow your technical influence, explore AI and GenAI patterns responsibly, and build a long-term engineering career within a firm that invests in its people. Job responsibilities Lead delivery of complex … inclusion, and respect Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code development Leverage 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 ...

integration, system, and automated testing within a distributed SaaS environment. The ideal candidate is curious, technically capable, detail-oriented, and interested in leveraging modern AI-assisted tools and workflows to improve software quality, test coverage, and team efficiency. TECHNICAL ENVIRONMENT & SCOPE Test distributed SaaS platform components across cloud-hosted … quality KPI trends throughout the SDLC and release lifecycle. Help mature the QA SDLC by contributing ideas for improving processes, automation, efficiency, and communication. AI-AUGMENTED QA & INNOVATION Leverage AI-assisted development and testing tools (e.g., GitHub Copilot or similar technologies) to improve QA workflows, efficiency, and test coverage. Experiment ...

culture. Together, we focus on excellence, collaboration, and continuous improvement. Job responsibilities Develop workflows and ELT pipelines using Python and Databricks. Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements. … using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databases Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency ...

into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with … right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative ...

Staff Software Engineer, Inference London, UK Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business … leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. ...

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. … infrastructure teams to shape the direction of the platform. Ideally you'd have: 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent ...

Analytics Solution Architect is responsible for defining the architecture, standards and technology direction for analytics and AI solutions across Marks & Spencer. Working across Microsoft Fabric, Azure Databricks, Power Platform and Copilot technologies, the role provides technical leadership from concept through to production, ensuring solutions are scalable, governed, secure and aligned … enterprise strategy. The role partners closely with business stakeholders, analytics teams, data engineers, platform engineers and technology architects to design AI-ready analytical ecosystems, evaluate emerging technologies, and establish reusable patterns that accelerate delivery across the federated analytics organisation. What You'll do Your key accountabilities will include Lead ...

into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with … right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative ...

Azure services Developing bespoke solutions using C#, SQL, JavaScript, Python and related technologies Supporting reporting, data warehousing and analytics requirements Applying practical understanding of AI and LLM-based solutions to improve business processes Introducing AI-enabled capabilities within agreed governance and compliance frameworks Identifying opportunities where AI or automation ...

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia … Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Candidates for this role will lead simulation-driven testing, automation, and software quality efforts for Hivemind, building and executing test frameworks that ensure our autonomy software performs ...

institutions, you'll help shape backend architecture, champion engineering best practices, and contribute to the evolution of modern banking technology. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance software quality while applying sound … engineering judgement and responsible AI practices. What You'll DoDesign and build cloud-native, microservices-based applications using Java (11+) and Spring Boot. Deliver enterprise-ready solutions on AWS, applying modern engineering practices and AI-enabled development approaches where appropriate to improve delivery efficiency and code quality. Build, maintain ...

development teams with vulnerability triage and remediation planning. Identify recurring weaknesses and opportunities for continuous improvement. Monitor emerging threats, vulnerabilities and industry trends. Secure AI Development Support the adoption of secure development practices for AI-enabled applications. Assist with controls relating to AI model security, data handling and misuse risks. … review experience. DevSecOps implementation and security automation. Experience integrating SAST, DAST, SCA and secrets scanning tools. Cloud-native, microservices and serverless architecture security. Secure AI and data-driven application security. OWASP SAMM, ASVS or other security maturity frameworks. Experience building or supporting a Security Centre of Excellence. Experience working within ...

Asset ManagementLocation: London (Hybrid) | Practice Area: Data & Analytics | Type: PermanentDesign the blueprint. Architect the future of Wealth & Asset Management. Empower data transformation through modern, AI-enabled ways of working. The RoleCapco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Wealth & Asset Management … will contribute to evolving Capco's Wealth & Asset Management data architecture propositions and thought leadership in modern, cloud-native data ecosystems, exploring how approved AI tools, including Generative AI and Agentic AI where appropriate, can improve insight, productivity, and delivery while maintaining human oversight and responsible AI guardrails. What ...

Azure services Developing bespoke solutions using C#, SQL, JavaScript, Python and related technologies Supporting reporting, data warehousing and analytics requirements Applying practical understanding of AI and LLM-based solutions to improve business processes Introducing AI-enabled capabilities within agreed governance and compliance frameworks Identifying opportunities where AI or automation ...

DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes-based deployments, deep … problems and making platforms measurably better, you'll find meaningful impact and growth here. As a Senior Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building … innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises ...

requirements of a global 24x7 trading operation, while balancing stringent non‐functional demands for availability, latency, and resilience. Critically, you will lean heavily into AI‐driven development. Using Goldman Sachs' AI tooling and agentic coding assistants, you will govern multiple AI agents, rapidly comprehend large legacy codebases, generate and assess … strategic transformation : Work alongside domain experts to understand existing production processes, challenge long‐held assumptions that may no longer hold in a cloud‐centric, AI‐driven world, and define and deliver the requirements for CTL integration. Multiply your output with AI : Orchestrate AI coding agents (e.g., Claude Code, GitHub Copilot ...

Architect - Supply Chain, Center of Excellence Europe; Norway (Oslo) What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including … code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our Moonshot is bold: Unlock $100B ...

high-impact client challenges, develop your expertise in a specialist and growing business, and help shape how data, technology and emerging tools such as AI are used in practice. The Role We're looking for an experienced BI Developer to join our ATLAS team in London. This is a hands … work across multiple projects and priorities, so we're looking for someone who combines strong technical capability with confidence, adaptability and ownership. AI and how we work AI is increasingly part of how we approach development at Holland Mountain, and we're looking for someone who is genuinely interested ...