376 to 400 of 8,379 Permanent AI Jobs

Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale. You'll lead the detailed technical design, development, and implementation of core agentic architectures and multi-agent workflows using … system-level architectural design, develop and review complex models and application code, and ensure the high availability, performance, and security of our generative AI applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in generative and agentic machine learning engineering. What ...

visit CIBC.com## STRATEGIC BUSINESS UNIT DESCRIPTIONThe Quant Solutions Group (QSG) is a global, cross-asset team that builds the software, analytics, data products and AI-enabled tooling that underpin the Global Markets business. The analytical software and data solutions developed by QSG are widely used across CIBC, helping Distribution … bridge between trading, risk, quant, distribution, data governance and technology teams, translating abstract business requirements into scalable, production-grade data, analytics and AI-enabled solutions.## KEY ACCOUNTABILITIES**Data Product Strategy and Commercial Value**• Define target-state data products and semantic layers for key Global Markets domains, including client, trade, market ...

underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering … solve real business problems. If you’re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this is your place to do it. YOUR ROLE In this position you will play a key part in: Designing, developing, testing, and deploying both front ...

looking for an experienced Model Governance Manager with expertise in data science and advanced analytics for the application, validation, and oversight of ML/AI models, including LLMs and generative AI. You'll challenge existing modelling processes and elevate them to new standards, supporting Revolut's growth and ensuring models … with key parties to train stakeholders on policy and related requirements, ensuring understanding and adherence to any significant changes Monitoring and implementing emerging global AI regulations (such as the EU AI Act or the UK’s approach to AI regulation) alongside traditional banking frameworks (SR 11-7 or SS1/ ...

Title: Senior Manager- (Quantexa) Tech Lead Service Line: Data & AI – KPMG At KPMG, our Data & AI practice is a fast-growing and strategic capability. We combine technical implementation with deep domain understanding to deliver high-impact solutions for our clients. Within this space, Quantexa plays a critical role in enabling … platforms. Degree or Master's qualification in Computer Science, Data Engineering, or related field. Why Join Us? As part of our rapidly growing Data & AI team, you’ll have the opportunity to work on cutting-edge Quantexa projects, helping clients unlock the full value of contextual data. You’ll also ...

backward compatibility, and rollback plans. Learn LLM serving fundamentals â tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI‐assisted development and automation capabilities, to improve the value realized by automation. Add to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities ...

Title: Senior Manager- (Quantexa) Tech Lead Service Line: Data & AI – KPMG At KPMG, our Data & AI practice is a fast-growing and strategic capability. We combine technical implementation with deep domain understanding to deliver high-impact solutions for our clients. Within this space, Quantexa plays a critical role in enabling … platforms. Degree or Master's qualification in Computer Science, Data Engineering, or related field. Why Join Us? As part of our rapidly growing Data & AI team, you’ll have the opportunity to work on cutting-edge Quantexa projects, helping clients unlock the full value of contextual data. You’ll also ...

with business requirements Configure and customize Salesforce applications including Service Cloud Marketing Cloud Pardot Marketing Cloud Account Engagement Data Cloud Agent force capabilities and AI powered automations Develop and maintain Apex classes triggers Lightning Web Components LWC and Salesforce Flows Design and implement REST and SOAP API integrations with external … backup and recovery solutions including tools such as Odaseva Work with Salesforce Data Cloud for customer data unification segmentation and integrations Support implementation of AI driven Salesforce solutions using Agent force and Einstein capabilities Collaborate with business stakeholders product owners architects and functional teams to gather and translate requirements into ...

+ Benefits We're looking for an experienced Data Engineer to join a growing technology team delivering modern data platforms and AI-driven solutions. This is an excellent opportunity to work on large-scale data engineering and machine learning projects using the latest cloud technologies. The Role You'll design … doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models, including NLP and generative AI solutions. Build data ingestion pipelines across batch and streaming environments. Design data models and implement best practices for governance and data quality. Work with DevOps ...

design, develop and optimise data solutions using Microsoft Fabric and Azure , enabling clients to make smarter decisions, modernise legacy estates and accelerate analytics, reporting, AI and machine learning initiatives. As part of my clients Groups Data & AI practice , youll work across a variety of projects shaping architectures, building scalable pipelines … Azure SQL , and related services. Ensure solutions meet standards for reliability, maintainability, security and performance. Collaboration & platform enablement Work closely with Power BI developers , AI specialists , and wider delivery teams to build platforms that support analytics, reporting and operational workloads. Design semantic models and optimise data structures for performance ...

mission to close the world's tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we've worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting … position as a leader in the data industry, we are seeking a Data Principal (hands on Architect) to lead the local Data & AI Practice and expand our Data capability. This pivotal role supporting the local club leadership requires a balance of leading on client, leading the data practice proposition ...

successes. Why Join the KPMG Tax Technology & Innovation team as a Technology Implementation Assistant Manager? Tax is highlighted frequently as an industry where generative AI will have a significant impact on how services are provided. You will be working as a team at the forefront of navigating that change … complex requirements, processes and systems to design analytics solutions. Aiding in managing the design, development and implementation of KPMG and third party data and AI-driven technology solutions for clients, including configuration and testing to ensure functionality and alignment with business objectives. Supporting the delivery of multiple technology projects ...

business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame … scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. Drive evidence ...

Reliability Engineer to join our Cloud Infrastructure and Platform Engineering team. We're looking for someone who is curious about the evolving role of AI in infrastructure engineering, someone who actively explores how AI-assisted tooling, automation, and intelligent observability can raise the bar for reliability and developer experience. … your ideas and contributions are valued Clear paths for career growth, including training and certification support Access to modern tools and technologies, including emerging AI-powered engineering tool Flexible work arrangements, including remote work options What You’ll Do Collaborate with globally distributed development teams to design, build, and operate ...

Full Stack Developer, you will design and build high quality software solutions that power meaningful outcomes for our clients. You will contribute as an AI fluent engineer, collaborating across cross functional teams to deliver secure, scalable, and modern digital platforms. This role offers the opportunity to shape future ready solutions … structured engineering practices. Stay current with evolving technologies and contribute to C&CA knowledge communities. Support growth of a future ready workforce by applying AI enabled practices and mentoring peers Your Skills: Strong experience in Java 17+ software development and Spring Boot 3+. Strong core Java skills including Generics, OOPS ...

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 ...

data to identify trends, risks and opportunities; collaborating with stakeholders to deliver actionable business insights; Supporting automation initiatives using Microsoft Power Platform; Contributing to AI-enabled analytics and modern data solutions Ensuring data accuracy, governance and reporting standards are maintained. What You'll Need to Succeed: Degree qualification in Data … Return Competitive salary and benefits package Opportunity to work on high-profile transformation projects Exposure to modern analytics, automation and AI technologies Ongoing professional development and career progression: Collaborative and supportive working environment. Chance to make a meaningful impact through data-driven business improvement: What You Need ...

work on challenging problems across software engineering where performance, data quality, and reliability are non-negotiable, while leveraging modern cloud (AWS) and AI-assisted development tooling to accelerate delivery without compromising control.You will be need to have practical use of AI-assisted development tooling to improve engineering productivity.**WHAT … such as AWS or Azure* Knowledge of CI/CD, automation, testing, and modern engineering practices* Strong problem-solving and analytical skills* Interest in AI and emerging technologies* Ability to collaborate effectively across global teams* Bachelor’s degree in computer science, Engineering, or equivalent practical experience**Experience We Value ...

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 ...

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. What You Will Bring Design and build high-performance data pipelines: to extract, transform, and load … seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools. 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 and infrastructure ...

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 ...

everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone. 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 ...

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 … Dagster or Prefect. Data Quality and Lineage Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. AI and MLOps Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. Containerisation and Kubernetes Confidence deploying applications ...