1,501 to 1,525 of 23,390 AI Jobs

month in the office Drive Data Quality & Insights Maintain accurate Engineering data, improve data integrity through regular reviews and clean-up activities, and leverage AI to enhance reporting, accuracy, and decision-making. Deliver Process Automation & Continuous Improvement Identify opportunities to streamline processes, gather business requirements, and implement AI-driven … share knowledge, promote cross-training, and reduce operational dependencies through effective knowledge transfer. Develop Reporting & Analytical Capabilities Stay current with emerging technologies, including AI and Microsoft Power Platform, and contribute to enhanced reporting, analytics, and business insights. Coordinate Business Operations & Events Support the planning and execution of Engineering events ...

What makes us Qlik? A Gartner® Magic QuadrantTM Leader for 16 years in a row, Qlik helps teams get more out of AI with trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk and operating costs while scaling AI responsibly. Used ...

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 … peer review, knowledge sharing and team ceremonies, giving and receiving constructive feedback to improve solution quality. Use modern analytics engineering practices, automation opportunities and AI-assisted tools where appropriate to improve delivery quality and efficiency. Keep abreast of developments and trends in data, analytics and reporting technology. Manage own task ...

team you'll be working with: We are seeking an accomplished and highly skilled Snowflake Solution Architect to join our Data & AI practice. The successful candidate will bring deep expertise in designing and implementing Snowflake-based cloud data platforms that are scalable, secure, and business-aligned. This individual will play … pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Snowflake's capabilities to enable data democratisation, advanced analytics, and AI-driven insights. As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Snowflake strategies, design robust architectures, and implement ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations … Understanding of modern data architecture philosophies (Dimensional, ODS, Data Vault) and real‐time cloud data capabilities. As part of a leading global analytics and AI solutions company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual ...

Cybersecurity advisory and transformation consulting in areas such as security strategy, risk management, human risk management, data and identity security, secure intelligent industry, Gen-AI risk, and security operations modernisation.##Our security specialists and innovators enable our clients to evaluate cyber risks, redesign Cybersecurity operating models, modernise digital identity capabilities, lead … implementation of effective and secure architectural patterns that align with industry standards (e.g. CIS L1/2, NIST, ISO27001, COBIT, etc.).* **Generative AI** – Enabling the secure design and adoption of Gen AI for business, IT and/or security functions in alignment with the evolving regulatory landscape (e.g. ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … development, or data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates ...

compensation, policies, and strategic growth planning Use data, workflows, and automation to increase revenue impact and reduce manual execution friction Key Responsibilities: Enable AI-Driven Execution: Identify and apply AI, automation, and advanced analytics opportunities to reduce manual effort across key functions, including: Lead revenue planning and modelling by building … compensation, and strategic growth programs. Key Skills: Technical: Proficiency in BI tools (Power BI, Fabric), SQL, CRM platforms (preferably Dynamics 365), automation tools, and AI/ML basics and Excel modelling Business Acumen: Deep understanding of sales cycles, marketing funnels, and customer acquisition strategies. Analytical: Ability to interpret data, identify ...

targets! WHAT YOU WILL DO You will join Technology Architecture in Ramboll Tech. You will be working closely with the Enterprise architects, Product architects, AI & Digital products chapter. You will partner with Data product and platform owners and Innovation and Digital Transformation Directors—who drive digitalisation, innovation, and scaling … organisation. Support data platform teams: Work with data platform teams to design and implement operating models that support efficient data processing, integrations, reporting and AI model deployment and execution. Data modelling: Design and develop data models that support business processes, analytics and reporting requirements. Ensure that data models are optimised ...

risks, trade‐offs and opportunities for improvement Contribute to CI/CD and automated testing practices Help modernise and evolve established software products Use AI‐assisted development tools, including GitHub Copilot and code‐generation/testing tools, where they add genuine value Evaluate and adopt relevant technologies, frameworks and cloud … C++ development and migrating existing code into modern technologies AWS, Azure or Google Cloud Platform Building or maintaining CI/CD pipelines AI‐assisted development tools such as GitHub Copilot Modernising desktop applications and improving UI/UX Performance optimisation of complex applications Strong analytical and problem‐solving skills ...

systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools including AI-assisted development, cloud services, and automation frameworks to deliver secure, scalable, and high-quality technology solutions. This position focuses on developing mobile applications and SDKs … scalable mobile solutions. All roles require digital fluency, including the ability to use emerging technologies such as Microsoft Copilot, GitHub Copilot, ChatGPT, and other AI-assisted development tools to improve productivity and software quality. Key Responsibilities: Collaborate with stakeholders to understand requirements and translate business needs into technical solutions. Design ...

world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. This isn’t a prompt engineering or LLM role … social impact. Our world-leading algorithmic products are at the core of our business, so as a part of the Data Science and AI Team, you will have a high level of exposure to the wider business. This role is based in our London office at Liverpool Street (hybrid ...

Science, Software Engineering, or a related discipline. Agile Scrum certification. Experience working successfully with globally distributed development teams. Strong awareness and practical understanding of AI technologies and modern AI-assisted development tools. Knowledge of cloud-native architectures, microservices, and modern cloud platforms. What Success Looks LikeDelivering high-quality software solutions ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities* Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle* Excellent communication ...

Delivery teams. Partner with the Sales team to assess client implementation requirements and identify the contractual arrangements needed to support successful implementation. Contribute to AI-driven projects and initiatives focused on innovation, automation, operational efficiency, and the continuous improvement of global practices. Your skills and experience that will help … risk management, particularly market risk. Good understanding of portfolio management theory and risk management techniques. Technical proficiency in Python and SQL, with knowledge of AI prompting and generative AI tools. Knowledge of and experience with a variety of information technologies, data tools, and systems is preferred. Bachelor's degree ...

mission hasn't changed — we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries … keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI ...

come to us when they need their engineers, graduates and technology leaders to be measurably better at something — building software, working with data, using AI in production, or moving a whole engineering organisation to a new standard. We are not a content house. Our work is designed and quality-assured … client’s head of engineering why our approach will work. What you will actually work on Recent and current engagements, anonymised: An enterprise-wide AI enablement programme for a global investment bank — from executive literacy through to engineers building agentic workflows in their own stack. A multi-track systems-analyst ...

India remote ROLE OVERVIEW: Morgan IT is transforming towards a cloud-first, automation-driven operating model built on Microsoft Azure, platform engineering principles and AI-enabled operations. The Azure Specialist is responsible for delivering, operating and continuously improving Azure platform services through modern engineering practices. The role focuses on Infrastructure … Code (IaC), automation, cloud operations, AI-enabled service improvements and platform reliability. Working closely with the Cloud Solution Architect, the Azure Specialist translates technical designs into operationally supported services while driving standardisation, automation and innovation across the cloud platform estate. The role combines hands-on engineering expertise with a passion ...

Senior Software Engineer (Machine Learning) Exeter, Bristol digiLab is a formative AI company with world-leading specialists in uncertainty quantification, applied where the stakes are highest and the margin for error is smallest. Our customers are among the largest and most advanced engineering and science-led organisations in the world … critical questions our technology is helping to answer. At the heart of our work is the Uncertainty Engine, digiLab's trustworthy and explainable AI platform, enabling our customers to accelerate innovation, reduce risk, and deliver real value through more confident decisions. We are looking for ambitious team members to help ...

position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at same time help clients achieve the same.ResponsibilitiesDesign, build, deploy, and maintain quality code that is simple, well … structured, clear, and well-tested.Use AI agents to speed up development and advise others how to use them safely, both clients and internally.Break down and solve complex problems efficiently, utilizing research and collaboration as needed.Communicate effectively across various mediums, with different audiences, and at appropriate times.Implement and maintain multiple levels ...

conscious experiences. As the demand for connected, intelligent customer engagement grows, Tealium’s leadership in CDP is translating directly into leadership in enabling enterprise AI strategies. By providing clean, consented, and actionable data, Tealium empowers its customers to accelerate the adoption of AI and machine learning, fueling smarter personalization, predictive … insights for some of the world’s largest brands. We are looking for a strategic, highly autonomous product leader who can operate independently, leverage AI and modern tools effectively, and drive measurable business impact. This role requires strong ownership, resourcefulness, data-driven decision making, adaptability, and cross-functional collaboration ...

keeping definitions, ownership and quality controls consistent when data is shared or extracted. Support the data quality and governance foundations needed for approved ServiceNow AI capabilities such as Now Assist, making sure CMDB and service data are accurate and well-structured enough to be used reliably by AI-driven search … reliable configuration and service data supports Incident, Problem, Change, Asset and Service Level Management. Experience considering how data quality and governance underpin ServiceNow AI capabilities such as Now Assist is desirable, including an understanding of the data foundations that AI-driven search, insight and automation depend on. Strong analytical ...

opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. Youll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud-based architectures that power … Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes-based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well-structured datasets. Participate in code reviews and internal knowledge-sharing sessions. Provide guidance to junior engineers where needed. ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … development, or data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI‐assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … development, or data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real‐time systems, large‐scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates ...