176 to 200 of 20,804 AI Jobs

that addresses technology, process, and structure to make a lasting impact. At Credera, you will work on diverse client projects, such as building modern, AI-enabled data platforms on AWS using DevOps and MLOps practices, including large, distributed workloads, batch and streaming pipelines, and the data foundations that power machine … learning, Generative AI and Large Language Model solutions. Working with architects, technology consultants and public sector client stakeholders, you will help customers make use of the data available to them while gaining exposure to regulated environments, networks and the latest AI technologies. Based out of any of our UK offices ...

model within the engineering community—combining hands-on delivery with architecture ownership to help build secure, reliable, scalable, and data-driven solutions, including modern AI-enabled capabilities (including Agentic AI solutions). As Data Analytics Software Architect you will translate enterprise architecture strategy into practical technical direction, ensure high engineering … Product Ecosystem, ensuring it is scalable, secure, and maintainable Maintain high standards of engineering quality by setting good practices, habits, and guardrails (including AI-assisted delivery patterns) Act as the interface between Software Engineering, Enterprise Architecture, and management—ensuring alignment and clarity Oversee technical delivery across teams, providing guidance ...

Salesforce ecosystem, ensuring platform reliability, security, scalability, and alignment with business objectives. The role will drive the delivery of transformational CRM initiatives, AI-enabled capabilities, automation programmes, and platform modernization while maintaining robust operational support and governance standards. Key Responsibilities Salesforce Platform Leadership & Ownership Own the end-to-end Salesforce … procedures, and governance frameworks. Lead platform capacity planning, performance monitoring, data quality management, and technical debt remediation. Drive adoption of new Salesforce capabilities, including AI and automation technologies. Operational Support & Service Management Provide leadership and oversight for Level 2 and Level 3 support activities across the Salesforce estate. Ensure timely ...

work with. The Data Science Manager is responsible for leading and developing a team of data scientists to deliver advanced analytics, machine learning and AI solutions that create measurable business value. Combining strong technical expertise with leadership skills, the role focuses on building a high-performing team, promoting best practice … implementation, ensuring insights translate into practical and measurable business outcomes. The Data Science Manager will provide technical leadership across advanced analytics, machine learning and AI, guiding the development of predictive, forecasting and optimisation models. They will champion innovation by exploring new technologies and analytical techniques, including the responsible ...

partners and manufacturing technology teams to define practical strategies for connecting data and systems (including the use of ontologies, knowledge graphs, integrations and AI where appropriate), enabling more seamless reuse of product and process knowledge across platforms. They also help define and operate the technical foundations (data pipelines, integrations, environments … deployments) needed to run these digital and AI-enabled capabilities safely and at scale, and to demonstrate that product and process data is being reused across R&D, CMC and commercial systems with improved data quality and time-to-access. In this role you will Set up and maintain ...

HANA to SAP Business Data Cloud (BDC), SAP Datasphere, AWS Data Lakehouse, and modern self-service analytics platforms. Design and enable AI-ready data architectures that support Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, and conversational analytics capabilities. Develop and maintain solution validation, technical and functional documentation … maps and Audit requests Mentor team members and functional analysts on best practices Monitor Analytics trends and best practices and identify optimization opportunities Cloud & AI Modernization Design and implement modern cloud-based analytics architectures leveraging SAP Business Data Cloud (BDC), SAP Datasphere, AWS services (Amazon S3, Athena, Glue, Iceberg), Snowflake ...

want to be at the heart of some of the biggest and most ambitious AI & Data projects? Technology & Transformation: How do you make intelligent, future-proof decisions in a world where change is the one constant? That's exactly what you'll help our clients do. You'll build trusted … clients position their organisations to succeed in an ever-evolving marketplace. As a Snowflake Engineer, you'll design, build and optimise scalable data and AI-ready solutions on the Snowflake Data Cloud, helping clients modernise their data platforms and create trusted foundations for analytics, machine learning and emerging AI capabilities. ...

experience operating within modern data platforms, MLOps environments and software engineering workflows. ## Your role **Data Science & Analytics*** Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges.* Explore large and complex datasets to identify trends, patterns and actionable insights.* Apply appropriate machine learning, predictive … models using robust performance and validation methodologies.* Communicate findings and recommendations clearly to both technical and non-technical stakeholders.* Contribute to development of innovative AI, machine learning and advanced analytics capabilities.**Data Product Delivery*** Ensure large datasets are managed appropriately across staging, modelling, analytics and presentation layers.* Contribute ...

practical experience operating within modern data platforms, MLOps environments and software engineering workflows. Your role Data Science & Analytics Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges. Explore large and complex datasets to identify trends, patterns and actionable insights. Apply appropriate machine learning, predictive … models using robust performance and validation methodologies. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Contribute to development of innovative AI, machine learning and advanced analytics capabilities. Data Product Delivery Ensure large datasets are managed appropriately across staging, modelling, analytics and presentation layers. Contribute ...

join Allocation Strategy's technology team. This is a hands‐on, early‐stage role at the intersection of software engineering, quantitative modelling, applied AI, and investment analytics . You will work closely with the company founders, including the Heads of Technology and Research, to design, build, and evolve the firm … modelling and analytics. Prototype and help harden new modelling approaches, analytical tools, and platform features. Work across the design and build of our internal AI layer, including LLM integrations, MCP servers, and agentic tooling, to automate research workflows and deliver analytical insights within the client‐facing platform. Help with ...

across data platforms. Solution Design Translate business requirements into data models, pipelines and technical solutions. Design logical and physical data models supporting reporting, analytics, AI and operational use cases. Collaborate with enterprise and solution architects to align solutions with strategic technology standards. Evaluate new technologies and recommend improvements to existing … consumption. Leadership and Collaboration Provide technical leadership across delivery teams. Mentor and coach data engineers and development teams. Collaborate with Product Managers, Data Scientists, AI Engineers and Finance stakeholders. Contribute to engineering standards, best practices and continuous improvement initiatives. Essential Skills and Experience Technical Significant experience delivering enterprise-scale data ...

trusted.You’lloperateacross a diverse technology landscape spanning Microsoft Fabric, EBX, Azure Integration Services, Informatica IDMC and Control-M orchestration, bringing together modern QE practices, AI-driveninsightsand deep domainexpertiseto ensure resilience,accuracyand performance where it matters most. Ifyou’repassionate about transforming quality from a checkpoint into a strategic engineeringcapability andwant … integration and analytics scenarios, including payments, GL postings, month-end processes, master/reference data updates, batchorchestrationand downstream reporting. Drive innovation in testing using AI/ML techniques, performance engineering, observability, service resiliencevalidationand data quality analytics. Elevate engineering maturity through shift-left and shift-right testing, reusable automation frameworks, quality ...

trading/pricing requirements into production-ready software. Collaborate closely with MQA (Quantitative Analysts) to integrate pricing models, risk calculators, and real-time analytics. AI & Innovation Driver Champion the adoption of Generative AI and Agentic AI frameworks within the software development lifecycle (e.g., automated code reviews, synthesis, workflow orchestration, agent … Modern DevOps & Cloud: Practical experience with Git, CI/CD automation (e.g., GitHub , Tekton, Jenkins), Docker/Kubernetes/OpenShift, and Linux operating systems. AI Tooling & Automation: Demonstrated familiarity with LLMs, GenAI tools, and Agentic frameworks (e.g., LangChain, LlamaIndex, MCP tools, automated coding agents) applied to engineering productivity or domain ...

Formulate, implement, test, and validate predictive models and build efficient, automated processes for delivering modelling results at scale Apply modern machine learning capabilities - including AI/ML, deep learning, NLP, causal ML, and explainable AI - across multiple data modalities and clinical development contexts Apply statistically rigorous approaches to clinical trial … validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes Experience in the application of AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks) Familiarity with clinical trial design, drug development processes, and the role ...

market leader in delivering bleeding edge analytical solutions for customers all over the world. To thrive in today's market, businesses need to implement AI built on a solid, reliable Data Platform, and we are looking for you to help us build it! Who are we looking for? Dedicated individuals … space to build real expertise, keep developing, and stay ahead of what’s next. We’re also genuinely active in the wider data and AI community. That means speaking at events, sponsoring major industry moments like Big Data London, and showing up at some of the biggest stages ...

hours support. EngineeringDesign, deploy, and maintain monitoring dashboards and SRE frameworks. Automate and modernize operational processes for the Data Platform. Leverage AI (Generative/Agentic) and automation to enhance efficiency and self-healing capabilities. Reduce out-of-hours support needs through engineering and AI toolsets. What do you need …/PySpark. Expertise in data modeling, integration, ETL processes, governance, and security. Nice-to-haveExperience with Datactics (or similar platforms) and Generative/Agentic AI is a plus. Degree in Computer Science, Engineering, IT, or related fields is advantageous. What is in it for you? We thrive on the challenge ...

architectures Define integration patterns, API strategies and event-driven architectures Support the effective integration of applications, platforms and services Support data governance, analytics and AI-enabled transformation initiatives Promote responsible adoption of AI, automation and emerging technologies Identify opportunities to improve operational effectiveness through technology innovation Stakeholder Engagement & Leadership Build … Power Platform Azure OpenAI OpenAI Services Kubernetes OpenShift MongoDB PostgreSQL SQL Server Neo4j Elastic Event Hub Service Bus Kafka Confluent GraphQL FinOps Platform Engineering AI/ML Operations (MLOps) Data Mesh Data Products Digital Twin The suitable candidate will need National Security Vetting (NSV) security clearance. They will preferably already ...

technical teams to understand the customer's vision, challenges, and requirements, and to propose innovative and scalable solutions that leverage Microsoft 365, Azure, and AI capabilities. You will also oversee the implementation and adoption of the solutions, ensuring that they align with the customer's business objectives, security policies … 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 ...

supporting junior developers Desirable Skills and Experience Experience with Dynamics 365 Finance and Operations Experience with Power BI and reporting solutions Experience leveraging AI tools such as Microsoft Copilot, generative AI, or intelligent agents to enhance productivity, automation, and user experience Experience in legal or professional services environments ...

technical teams to understand the customer's vision, challenges, and requirements, and to propose innovative and scalable solutions that leverage Microsoft 365, Azure, and AI capabilities. You will also oversee the implementation and adoption of the solutions, ensuring that they align with the customer's business objectives, security policies … innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About CapgeminiCapgemini 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 ...

compliance considerationsExperience contributing to large-scale SAP bids, proposals, or solution shaping activitiesUnderstanding of how extension or emerging capabilities (e.g. automation, analytics, or AI-enabled services) complement SAP solutionsExperience operating within formal design authorities or governance boardsPersonal AttributesWe are looking for architects who combine technical authority with strong interpersonal skills … world needs. 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 and people. ...

UBDS, we help organisations transform through cloud, cyber security, AI and digital innovation. We are looking for an experienced Data Architect to support the design and delivery of modern, scalable data platforms and solutions across complex Government and Defence environments. This is a hands-on architecture role with a strong … Group At UBDS Group our mission is to support entrepreneurs who are setting new standards with technology solutions across cloud services, cybersecurity, data and AI, ensuring that every investment advances our commitment to innovation, making a difference, and creating impactful solutions for organisations and society. Equal Opportunities ...

well as the love of continuously learning and sharing knowledge/mentoring team members and colleagues. Responsibilities Lead or co-lead data and AI engagements end to end, taking ownership of the quality of data deliverables and the structure of the work. Combine design thinking and user-centric techniques with … discovery sessions and turning ambiguous problems into clear scope. Experience in pre-sales: scoping, proposal and SOW writing, and building POCs. Experience with agentic AI, NLP, forecasting, Monte Carlo simulation or reinforcement learning. Experience hiring and mentoring, or contributing to a growing team's tooling and ways of working. Domain ...

product management, domain analysts, and solution architects to translate complex business requirements into clear, phased technical deliverables.Drive rapid engineering and innovation by integrating autonomous AI-assisted development tools (such as Devin, GitHub Copilot, and Cursor) across the software development lifecycle.Full-Stack Awareness & End-to-End OwnershipWhile heavily focused on backend … pipelines (Tekton, Jenkins), containerization (Docker, OpenShift/K8s), and automated testing frameworks (JUnit 5, Mockito, Testcontainers).AI-Accelerated Engineering: Active practitioner or champion of AI coding assistants (Devin, Copilot, Cursor) to accelerate prototyping, code generation, and test coverage.Leadership & Soft Skills:Demonstrated experience acting as a lead engineer, technical authority ...

practice. Contribute to recruiting activity and the continued development of Protiviti's Data & Analytics capability. Stay current with developments in cloud, data, analytics and AI technologies and help assess their potential application to client challenges. Do Your Talents Include the Following? Significant experience designing and delivering enterprise cloud data architectures … Experience Experience with Snowflake or other enterprise data platforms. Relevant Databricks accreditation or certification. Relevant Microsoft Azure, AWS or comparable cloud certification. Experience with AI/ML data workflows and advanced analytics. Experience with containerisation technologies such as Docker or Kubernetes. Your Educational & Professional Qualifications A degree in Computer Science ...