51 to 75 of 7,168 Remote/Hybrid AI Jobs

through rigorous code reviews, automated testing, and adherence to continuous integration/deployment (CI/CD) principles. We encourage you to leverage the latest AI tools to augment your skills and accelerate your learning. We champion their responsible use, emphasizing that you must be able to fully understand … property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires. AI Transparency Statement: Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly ...

conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson … experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs ...

develop in these areas will also be provided: Demonstrable technical specialism in one of the following: Data Science, Machine Learning, Optimisation, Operations Research, Statistics, AI Engineering. Leveraging latest AI and Agentic tooling to assist in all stages of the development lifecycle Experience in building data storage solutions Familiarity with Infrastructure ...

Senior Data Engineer Microsoft Fabric | Power BI | Azure | Data & AI Hybrid UK | Around 2 days per month in London, Birmingham, Reading or Leeds £65,000£75,000 + 10% bonus + 7% pension + benefits The role There are plenty of Senior Data Engineer roles where becoming senior gradually means … Synapse experience is useful rather than essential. Financial Services experience is highly preferable, particularly Wealth Management, Banking, Insurance or another regulated financial organisation. And AI? The business is increasing its investment in AI, including Azure AI Foundry and other Microsoft AI technologies. This isnt an AI Engineering role ...

clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating … digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. ...

solutions. Lead with insight. Drive data innovation. The Role We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable … solutions that deliver measurable business value. What You’ll Do Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions. Drive the adoption of cutting‐edge technologies including generative AI, LLMs, and agentic AI frameworks. Collaborate with business and technology teams to align technical outcomes ...

challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. AI & Digital Factory As part of our evolution at AI & Digital Factory, we are increasingly helping clients to design and deliver AI‐enabled products and services. … This includes supporting organisations to: Identify and prioritise AI and data‐driven opportunities Embed automation and generative AI capabilities into digital platforms and architectures Deliver more intelligent, scalable and insight‐driven solutions Navigate emerging considerations such as data, governance, and responsible use of AI Our Technical Business Analysts play ...

Lead Forward Deployed Engineer AI/Product/Consulting Location: Hybrid Job Type: Full-time Level: Lead/Principal Individual Contributor The Opportunity We're working with an innovative, global digital health technology business that partners with major organisations across the pharmaceutical, biotech and healthcare sectors. They are looking … product decisions, build the solution and own the outcome . The role would suit an experienced engineer who is operating at the forefront of AI development and is equally comfortable writing production code, challenging a product strategy, presenting to senior stakeholders and working directly with clients. How You'll Work ...

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 ...

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 ...

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 ...

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. ...

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 ...

company. Job Description: About the RoleWe are looking for a Head of Engineering to own the technical roadmap for our enterprise-scale data and AI infrastructure. You will lead a multi-disciplinary engineering organisation, set data platform and cloud architecture direction, and act as the bridge between hands-on solution … technology transitions. Stay up to date with emerging technologies and industry trends, assessing their potential impact and benefit to the overall business strategy, particularly AI/agentic capabilities and data infrastructure innovations. Candidate ProfileProven experience leading data engineering or data platform teams at a senior/head level, ideally within ...

consultancy team sitting alongside our Senior Consultants and reporting directly to the Director of Energy Advisory. You will work closely with our data and AI, cyber security and data protection teams, collaborating with in‐house solution architects and developers as required to design and maintain our digital tools. The role … error handling processing, analysis pipeline development and API integration. Strong MS Excel skills for economic and quantitative analysis and modelling. Practical experience using AI tools and techniques to improve analysis, automate delivery. JSON processing and manipulation. High degree of numeracy and confidence with data collection, processing and manipulation ...

# Data Governance Senior ConsultantBirmingham, Bristol, London, Manchester, Newcastle Bank HouseApply for this job* Permanent* Experienced Professionals* Data & AI* ID 529914-en\_GB## **Who You Will Be Working With**You will join the Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. Insights and Data … global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics.Our team is one of the largest and most successful Data Management teams in the UK delivering innovative Data Management and Governance thought leadership to our clients.The Enterprise Data Management provides services on Information Strategy, Data ...

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 ...

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 … 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 ...

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 ...