301 to 325 of 9,810 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 ...

diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models … greater than the sum of parts: we are a team, one that isn’t just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day You’ll work within ...

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 ...

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 ...

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 ...

Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We’re looking for dynamic, driven professionals like … trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed ...

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. ...

Water. Where you fit in: As our Senior Data Scientist, you will: Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping to steer … skills in Python, R, SQL, and cloud platforms Align solutions with data strategy and wider transformation programmes Horizon scan and embed emerging technologies like AI, Digital Twins, and Open Data Represent Yorkshire Water in cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate ...

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, TypeScript, and Fortran Frameworks … Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating ...

innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes ...

practice supports some of the largest global firms and most recognizable local brands solve their biggest challenges in today’s age of digital and AI led transformation. With diverse services, ranging from strategy and advisory to large scale implementations and change initiates, from business change to operational transformation and leading … travel as needed for client engagements. Ability to navigate ambiguity and work in a self-directed nature. Good understanding of latest leading technologies, data, AI, digital and able to identify opportunities to incorporate them. Strategic thinker and value driven. Strong delivery focus mindset. Qualifications Bachelor’s or master’s degree ...

deployment. Ensure models are optimized for real‐time performance and scalability. Research and Innovation: Explore novel methods to solve challenges in the generative AI space. Stay up‐to‐date with the latest advancements and incorporate them into our development processes. Collaboration and Code Reviews: Engage in code reviews and collaborate ...

organizational skills; ability to manage multiple priorities Preferred Qualifications, Capabilities, and Skills Master’s degree or advanced study in a relevant field Experience implementing AI or blockchain‐enabled solutions in production environments Familiarity with governance artifacts such as charter maintenance, materiality assessments, exit plans, and governance questionnaires Advanced data science ...

supporting and developing the systems that keep our business running. You'll gain hands-on experience with ERP systems, Power BI, SQL, automation tools, AI technologies and in-house applications while working alongside experienced colleagues and external technology partners. Role Provide first-line support for business systems, investigating issues ...

excel .net, Java or Python computer programming knowledge is a plus Basic to intermediate experience in SQL Familiarity with Azure cloud services Exposure to AI Development Active Directory and directory focused documentation General understanding of APIs, cloud technologies, or software development lifecycle is a plus Familiar with Jira and Agile ...

team, you will contribute to our agenda to transform the investment bank into a data-driven business, promoting change through state-of-the-art AI and machine learning techniques. This is a hands-on, implementation-focused role, and we are looking for someone with proven experience designing and building scalable ...

Agile environments with diverse stakeholders Knowledge of DevOps, CI/CD, and continuous improvement practices Demonstrated success in innovation and emerging technologies, including AI/ML Proven ability to build and lead high‐performing teams Leadership & Personal Attributes Inspiring leader with strong stakeholder management and communication skills Commercially aware, strategic ...

quantitative analysts and trading desks worldwide, you’ll transform research concepts into production‐ready solutions – automating infrastructure with Python, Java or Scala and embedding AI‐driven capabilities that boost developer productivity and unlock new insights. What you offer Hands‐on experience with public‐cloud platforms – ideally AWS – plus Kubernetes ...

operate at production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks ...

operate at production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks ...

preferred), CI/CD, Git, DevOps tooling, automation frameworks, and Linux administration.* Cyber Security, SIEM/SOAR, on-premises infrastructure, Machine Learning/AI, and SAFe Agile exposure.* Strong analytical and problem-solving skills with attention to detail.* Good communication and collaboration skills with the ability to work across technical ...

between business outcomes and technical execution to mature how STOXX delivers index data to clients globally, including Web portals, APIs, bulk delivery mechanisms, MCP (AI‐enabling pipelines) and third‐party data marketplace integrations. The role owns the product vision, roadmap, and delivery outcomes for index data distribution and must make ...

systems that operate at production scale.Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable.Co‐own with Product and business leaders the metric frameworks and decision ...