876 to 900 of 22,015 Permanent AI Jobs

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 ...

code. You’ll think about testability, security, performance, observability and the way application data moves into reliable customer-facing experiences. You’ll also use AI-assisted engineering tools as part of your delivery workflow. You’ll use them to accelerate implementation, testing and refactoring, while applying your judgement to validate … scoped ticket through to production, including testing, documentation, monitoring and follow-through. A collaborative, customer-focused approach to agile delivery. The judgement to use AI productively while validating and owning everything it produces. Nice to have, but not essential Experience working closely with Data Engineering, Data Architecture or analytics teams. ...

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 ...

accounting firm with over 1,100 colleagues in the UK. Its data and innovation team builds secure data foundations that support reporting, automation, AI and smarter decision‐making across the firm. Задачи: Lead the design and delivery of scalable, resilient data pipelines into BigQuery from internal systems, APIs, databases, files … designs and code, mentoring data engineers and analysts, and strengthening engineering capability across the Innovation Team; Enable data delivery through Power BI, automation workflows, AI agents and internal applications; Evaluate technology and integration options and make build-versus‐buy recommendations balancing business value, security, scalability, supportability and cost; Champion data ...

practices. Desirable Experience in travel, hospitality, marketplace, or consumer platforms. Familiar with pricing, demand forecasting, recommendations, or CLV modelling. Practical experience with LLMs, agentic AI workflows, or applied generative AI in a production setting. Experience with Microsoft Fabric, Azure ML, or equivalent cloud ML tools (e.g. AWS/Azure). … Interest in responsible AI, explainability, and governance. Forge Holiday Group Benefits Annual bonus scheme based on company performance 33 days’ holiday(including bank holidays), plus up to 5 extra with long service. Option to purchase extra holiday days if you wish. A day off for your birthday 2 volunteering days ...

BFSI, leading complex enterprise transformations. Platform Expertise: Deep technical proficiency in modern data platforms (Databricks, Snowflake) and toolsets (dbt, Airflow, Kafka). Advanced Architecture & AI: Mastery of Lakehouse, Data Mesh, Streaming, MLOps, and GenAI integration to drive continuous innovation. Governance & Compliance: Expertise in zero-trust security, lineage, privacy (GDPR, CCPA … Advisory: Strong C-suite presence (CDO, CIO, CTO) aligning technical architecture with high-level business strategy. Value Realization: Proven ability to convert technical and AI capabilities into measurable business ROI and strategic impact. Education: Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field. Job responsibilities Architect ...

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, and they're using our technology … 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 ...

will define and execute a comprehensive account strategy that drives revenue growth, deepens customer adoption across the full AWS portfolio — including compute, networking, storage, AI/ML, Generative AI, and edge solutions — and positions AWS as the preferred cloud partner for next-generation telco workloads. This role requires deep understanding … short-term technology decisions align with long-term business goals. Solution-Led Selling: Drive solutions discussions diving deep into complex challenges — including modernization, migration, AI/ML, and infrastructure optimization for telco workloads. Recommend AWS products and services aligned with how the Telco delivers solutions to their end customers (Telco ...

Participate in architecture, solution-design and technical decision-making discussions. Mentor junior developers and support the development of a high-performance engineering culture. Use AI-assisted engineering tools responsibly to improve productivity, functionality and application performance. Ensure confidential information and proprietary code are protected while using AI-based tools. Stay ...

Strategy and Analytics (DSA) partners with audit teams to translate data needs into durable, reusable capabilities. The team designs data products, engineering patterns and AI-ready data foundations that improve the efficiency, consistency and insight of audit work. YOUR IMPACT RESPONSIBILITIES Design, build, test and support production-grade ETL/… schema design, performance and data movement. Implement data-quality checks, controls, lineage, observability, documentation and automated tests to improve trust and supportability. Contribute to AI-ready data products and semantic layers that provide consistent business meaning and governed access to data. Partner with audit teams and data owners to understand ...

most significant issues facing society today, such as transition to sustainable energy, digitisation of government, scaling high-growth businesses, exploiting the potential of AI and improving wellness with digital healthcare. The core capabilities of our team include: Digital strategy, horizon scanning, and strategic planning. Working in combined teams with Business … better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams ...

Experience with regulatory exams and responses is strongly desired. Experience in EEA regulations such as DORA, BCBS 239 and the EU AI Act. Experience in IT audits or risk assessments, Information Technology General Controls (ITGC) and cybersecurity controls. Familiarity with Information Security Frameworks (e.g., NIST, ISO 27000, CSA Cloud Control … Matrix) and ITIL practicesExperience in AI adoption and AI risk managementAbility to articulate technical issues to non-IT stakeholders and business perspective to IT stakeholdersStrong communication, negotiation, and presentation skills, with cross-cultural competenciesEducation & Preferred QualificationsMinimum 10 years of experience in the financial and/or technology industries. Strong project ...

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 … enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates ...

working with our GIT partners to design & develop end to end (data to user) analytic solutions that are both scalable & futureproofed to support ongoing AI transformation. You will be responsible for designing & execution through to enablement which means they will need strong & flexible communication skills – flexing between business language & technical … data analytics technology landscapes and big data solutions. A bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform‐specific data certifications (e.g., GCP, Snowflake). Our Commitment ...

alongside senior engineers and product leadership, you'll contribute to the evolution of our platform while developing your own technical expertise across cloud infrastructure, AI, geospatial data and developer tooling. You'll be responsible for: Designing and building scalable backend services and APIs using C# .NET. Developing platform capabilities that … services hosted within Microsoft Azure. Implementing Infrastructure as Code, CI/CD pipelines and engineering automation to improve reliability and developer productivity. Contributing to AI-powered workflows including document processing, data extraction and intelligent automation. Working with the Security Manager to implement technical controls supporting ISO 27001 and Cyber Essentials. ...

annually, across 30+ countries ; helping customers collect and send both recurring and one-off payments , without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks , we help our customers make faster … Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale. What you'll do Contribute to the full model lifecycle , from ...

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 ...

execution of FX Trade processing and Risk platforms implementation and modernisation, solutioning new cross border payments and custody flows, enhance the usage of Gen AI in delivering cutting‐edge FX products that meet evolving Trading, Sales and client needs and enhance competitive positioning. Key Responsibilities Drive the standardization of business … regulatory adherence, and successful market launch. Manage the end‐to‐end product lifecycle for assigned FX products, from ideation to eventual retirement. Establish an AI first approach in problem solving and solution provision including building prototypes for client, sales and trading workflows. Oversee product testing, validation, and quality assurance processes. ...

efficient development and validation of analysis packages. Select appropriate tools/languages and solve complex technical challenges. Identify and implement improvements, including use of AI/ML.Contribute to departmental initiatives and technical strategy. Quality & Compliance Ensure adherence to standards (e.g., GPP, CDISC) and regulatory requirements. Perform QC on critical outputs … related field. Expertise in R programming.6+ years of clinical programing experience5+ years of experience in the Pharmaceutical or Biotechnology industry. Experience using generative AI tools and coding assistants (e.g., GitHub Copilot, Codex, and Claude) to improve programming efficiency, automation, code quality, and analytical workflows in clinical programming. Preferred QualificationIf ...

delivering an outstanding experience while ensuring platforms operate reliably, securely, and cost effectively at significant scale. You will play a key role in embedding AI into our products in a way that is practical, responsible, and valuable to the business. Role focus As a Lead Engineer, you are a senior … with complex problem solving. You will guide the development of large scale systems that support programmatic buying, self service experiences, data products, and AI enabled capabilities. What you will do Lead the design, implementation, and evolution of key systems Hands on design and build of complex features and platform capabilities ...

technical stakeholdersExperience mentoring and supporting junior developersDesirable Skills and ExperienceExperience with Dynamics 365 Finance and OperationsExperience with Power BI and reporting solutionsExperience leveraging AI tools such as Microsoft Copilot, generative AI, or intelligent agents to enhance productivity, automation, and user experienceExperience in legal or professional services environmentsTLT is committed ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting‐edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary … world problems using your quantitative background and experience, this may be just the team for you. Job responsibilities Work with business leads to develop AI/ML‐driven analytics and automation that support their business goals Build up a scalable data architecture to handle the large volume of transaction data ...

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 ...

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 ...

ability to scale, automate, and innovate is critical to grow the business and extend our competitive edge. From building intelligent automation tools powered by AI, improving sales and trading workflows, and expanding our electronic architecture to new platforms and markets - this role provides many challenging and rewarding opportunities to drive … year of experience in software development A solid understanding of object-oriented programming skills (Java, Python, C#) including data structures and algorithms Proficiency with AI-assisted development tools (e.g., GitHub Copilot or similar) Energetic, self-directed, and self-motivated Experience collaborating in global teams and possesses strong interpersonal skills Strong ...