801 to 825 of 20,704 Permanent AI Jobs

optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments 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 … will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging ...

DevOps principles Proficiency with Git and modern version control practices Experience with Agile methodologies (Scrum and/or Kanban) Desirable Experience with building AI applications Experience with Azure ARM Templates and Infrastructure as Code (IaC) Interest in and experience with AI, Large Language Models (LLMs) and AI-based development tooling. ...

secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability. Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root … while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns. Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities—to increase the value and impact of automation. Identify recurring issues and lead efforts to eliminate root causes or automate ...

secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data … into secure containerised environments. You will work across the full lifecycle from development through to production, shaping architectures that support operational users, analytics, and AI enabled capabilities.This role is hands on and engineering. You will write production grade code, contribute to secure platform patterns, and ensure that your data services ...

team environment. Document models, methodologies, and processes for transparency and knowledge sharing. Required Qualifications, Capabilities and Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine learning … operations research, or revenue/yield management. Proficiency in Python for data analysis, modelling, and software development. Deep understanding of statistics, AI, and optimization techniques. Demonstrated ability to solve complex quantitative problems and deliver business impact. Excellent communication and presentation skills, especially with senior stakeholders. Ability to work collaboratively ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...