226 to 250 of 22,231 AI Jobs

decision is real, and the advantage of getting it right is significant. Rules-based systems and legacy platforms are being challenged by purpose-built, AI-driven solutions. Whilst the outcome of this challenge isn't immediately clear we need someone who can navigate the complex set of options, define, design … early, and drive progress without being pushedConsulting or client-facing delivery experience is a strong advantageExposure to GenAI applications in decisioning — personalised content generation, AI-driven offer selectionPreferredExperience evaluating purpose-built decisioning solutions and contributing to capex/opex business casesFamiliarity with real-time streaming technologies in a decisioning contextAwareness ...

Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will join the Applied AI/ML Software Engineering team, collaborating with technology teams across the firm, contributing to both new and ongoing projects. As a Software Engineer III at JPMorganChase within … skills, with the ability to convey design choices and communicate effectively with stakeholdersFamiliarity with Machine Learning Operations (MLOps)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine ...

driven transformation, educate stakeholders, and manage high‐performing data capability to support a data culture across Silverstone and its stakeholder groups, including promoting practical AI literacy in tools such as Microsoft Copilot and Claude. Key Responsibilities Data & Platform Engineering Build and evolve a scalable, secure data platform integrating key sources … continuous improvement of self‐service capability. Build a data community of practice to share best practice, success stories, and reusable assets across teams. Promote AI literacy across the business, including practical and responsible use of tools such as Microsoft Copilot and Claude to improve productivity, insight generation, and decision‐making. ...

culture of quality across the department, fostering relationships with each delivery team and continuously evolving testing practices including thorough and thoughtful adoption of AI tooling to enhance, speed, coverage and rigour. Location: Letchworth. All members of the Technology organisation are Remote Workers, working in a hybrid capacity at home … Plan, design, and execute functional, regression, integration, and user acceptance testing across multiple delivery teams within Data Platforms and Analytics (Data Platform, Middleware, Analytics AI and Automation). Develop and maintain test strategies, test plans, test cases, and test data sets aligned to each platforms delivery cadence and risk profile. ...

thrive. Your day at NTT DATA We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data & AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role … data visualisation, and DevOps principles. Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA). Exposure to machine learning and AI integration within modern data platforms. Experience, Qualifications, And Education Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4+ years ...

audit specialist within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims … execution, leveraging large datasets to drive insight and risk identification. Act as a champion for innovation within Internal Audit, particularly in the use of AI and automation to improve audit efficiency, coverage, and quality. Stakeholder Engagement Build effective relationships with IT, security, data, and business stakeholders across the organisation. Provide ...

business by “closing the loop”—ensuring data isn’t just sitting in a dashboard but is actively driving operational tools and decision-making. AI Integration: Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and explore new ways to enhance data quality. Stakeholder Engagement Act as a consultant … performant queries. Python Literacy: Not a software developer, but you must be comfortable reading code, writing scripts for data manipulation, and handling API. AI Comfort: You are an “AI-first” builder who is comfortable using AI tools (e.g., Cursor, GitHub Copilot, LLMs) to write code faster, debug, and stay ahead ...

Working With**As a Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership from … Warehouse, and Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use Azure Data Factory (and/or Fabric Data Factory ...

data processing. Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least … Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

specialist within the function, informing risk assessment, audit planning, and continuous monitoring activities. + Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation).* **Support Broader Audit Delivery** + Embed IT risk considerations within business and operational audits (e.g. underwriting … leveraging large datasets to drive insight and risk identification. + Act as a champion for innovation within Internal Audit, particularly in the use of AI and automation to improve audit efficiency, coverage, and quality.* **Stakeholder Engagement** + Build effective relationships with IT, security, data, and business stakeholders across the organisation. ...

uniquely positioned to future-proof organizations against any cyber challenge. If that excites you, read on! Immersive is the cyber proving ground for the AI enterprise. Through Immersive One, organizations can test whether people, AI-enabled workflows, cyber security teams, agents, and leaders can perform securely under realistic pressure, then … benchmark, and report readiness. Trusted by 30%+ of the Fortune 100 and ranked #1 in the Forrester WaveTM 2026, Immersive helps organizations prove AI can be adopted safely, teams can develop and defend at AI speed, leaders can lead through crisis, and AI agents can be validated before they ...

Modeling Technology Team, you will help build and enhance portfolio manager‐facing applications across the full stack. You will help drive the integration of AI‐assisted development practices and emerging technologies into investor‐facing workflows and tooling. You will tackle compelling challenges alongside exceptional technology and investment professionals, solving problems … infrastructure, and back‐end Prototype and develop new software components, workflows, and features; enhance and optimize existing systems for performance and maintainability Integrate AI‐driven capabilities into investor‐facing applications to improve workflows and decision‐making Partner with business analysts, QA engineers, and investment professionals to review and qualify business ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real-world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

Scikit-learn . Knowledge of data visualisation tools such as Power BI or Tableau. Experience with Git/version control. Exposure to Generative AI, LLMs or NLP . Experience deploying models into production environments. What's on Offer Competative salary Hybrid working 25 days' annual leave + bank holidays Company … pension scheme Private healthcare Annual performance bonus Professional development and training budget Opportunity to work with modern data and AI technologies Clear progression opportunities within the data team If you're a commercially experienced Data Scientist looking for your next challenge, we'd love to hear from you. ...

systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools including AI-assisted development, cloud services, automation frameworks, and mobile technologies to deliver secure, scalable, and high-quality solutions that drive business outcomes in the fintech sector. This … mobile solutions used by millions of consumers worldwide. All roles require digital fluency, including the ability to effectively leverage emerging technologies such as Generative AI tools (e.g., Microsoft Copilot, GitHub Copilot, ChatGPT, and Agentic Development workflows) to improve engineering productivity, software quality, and developer experience. Key Responsibilities: Software Engineering & Solution ...

models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning, or related field Nice … leave plus bank holidays. Stock option scheme and pension matching. Latest hardware (M-series MacBook Pro, GPU workstation access). About the Team Our AI Research team is a tight‐knit group of 8 researchers and engineers passionate about pushing the boundaries of applied AI. We publish at top venues ...

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part … emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play ...

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part … emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play ...

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part … emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play ...

development of cloud‐based data lakehouse solutions for Planning & Analysis Guide and support data consumers in leveraging data products for analytics and planning Utilize AI‐assisted coding tools to accelerate development and optimize SQL Identify opportunities to embed AI into Planning & Analysis workflows Work with diverse data sets to support ...

building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud … delivers end‐to‐end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. #J-18808-Ljbffr ...

actuarial team throughout. Stack is Python and Azure, with a strong emphasis on engineering and MLOps standards. There's also scope to bring generative AI into the roadmap. You'll coach the data scientists and analysts in the team and feed into what gets prioritised. Key Skills Required Strong Python ...