1,476 to 1,500 of 21,791 AI Jobs

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. Responsibilities Design, build, deploy, and maintain quality code that … 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 ...

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 ...

depth and business impact, delivering outcomes that reshape how software companies build, monetize, and scale. The Sr. CSM must demonstrate differentiated, hands-on Agentic AI and GenAI expertise: 1/Proven experience architecting and building agentic AI systems - including multi-agent orchestration, RAG pipelines, and prompt engineering - not theoretical familiarity … demonstrated delivery of working prototypes and customer-facing demos. 2/Proficiency using AI-powered coding assistants to accelerate solution development, write production-grade code, and build technical artifacts that earn customer trust. 3/Software Product Management mindset with direct experience delivering or consulting on SaaS products - understanding multi ...

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 ...

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 ...

Design, build, and operate scalable and secure data platforms and data pipelines that support analytics, reporting, AI/ML, and self-service data across the firm. Duties include: 1. Develop and maintain reliable batch and real-time data pipelines and ETL/ELT workflows for ingesting, transforming, and delivering internal … following, which may have been gained concurrently: 1) 5 years of experience building and operating scalable data platforms and data pipelines for analytics and AI/ML workloads in a production environment; 2) 5 years of experience programming with Python, Scala, or Java; 3) 5 years of experience using ...

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 ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

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 ...

building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation … defend them under fire. Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build. Certified credibility — Databricks Data Engineer Professional/SA accreditations strongly preferred. Founder energy — curiosity, adaptability ...

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 ...

Senior Software Developer North West England | C#/.NET | Advanced Analytics | AI & Data If you're a Senior Software Developer looking for something beyond standard application development, this could be an opportunity worth exploring. This role sits at the intersection of software engineering, advanced analytics, data science and next-generation … software operate in a real-world environment. If you're a C# developer who enjoys challenging engineering problems and wants to move closer to AI, analytics and advanced technology, this is a particularly strong opportunity. ...

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 ...

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 ...

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 ...

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 ...

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. ...

utilizes various tools to manage daily position information, trade confirmations, and daily mark‐to‐market valuation of derivative positions and cash management. They leverage AI models, agentic workflows, and automation tooling, developed in partnership with Financial Engineering, to streamline daily workflows and cash forecast models, triage exceptions, and support collateral … solutions that translate investment strategy into operational reality. The department manages this capability entirely in-house, supported by internally built quantitative models, AI-powered liquidity tools, and automated workflows that operate at the forefront of the industry. The department is organised into three branches: Investment Services and Settlements; Markets ...

their clients. Working closely with Principals and Heads of, the role will embed best practice, innovation and a joined-up approach to technology and AI as a core enabler of the firm's strategy. Develop and deliver a firm-wide data and analytics strategy aligned to firm goals. Advise … clients. Act as the primary point of contact for data initiatives, ensuring clarity of scope, outcomes and alignment with the firm's technology and AI roadmap. Ideally you will have the following skills: Proven experience in a senior data analytics or data management leadership role. Advanced proficiency in Power ...

team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data … Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines ...