1 to 25 of 152 Remote Generative AI Jobs in the UK excluding London

make a better world. As a member of the Industry Futures team, you will be working side-by-side with world-class researchers and engineers to build new AI driven construction workflows that will help our customers imagine, design, and make a better world. The Industry Futures team is active in the wider research community and has developed … active collaboration with academia and industry leaders in the field of construction. We are seeking a subject matter expert in construction digital twins and AI model development to lead the creation of real-time, multimodal digital twin solutions. This role focuses on integrating diverse data sources including BIM, schedules, reality capture, and field data into cohesive, AI … responsibilities include developing standardized data schemas, ensuring data connectivity across systems, and building scalable pipelines to support accurate, real-time insights. This position requires expertise in data integration, AI analytics, and digital transformation in the built environment. Based in Toronto with flexibility for remote or hybrid work, this role supports Autodesk's hybrid-first approach. Responsibilities Lead exploration More ❯

on our website. The Role This is an exciting new role aimed at growing our data science capability, and the adoption of data-driven methods (including ML/AI) more widely within the business. You will work with a range of colleagues and teams to help solve complex business problems, unlock business insight and value from semi-structured … Proficient in coding for data science using Python. Demonstrates good coding practice like version control, testing and containerisation. Comfortable working in a Linux environment. Some familiarity with LLM/GenAI prompting and augmentation for textual analysis, with an interest in learning more. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, pandas, numpy, scikit-learn, Keras/… apply a range of scientific methods. Expert understanding and application of Natural Language Processing techniques. Experience of text mining, data annotation and model development. Awareness of Data and AI Governance considerations - ethics, transparency and explainability, licensing and regulation. Commercial awareness and awareness of product delivery life cycle (within an Agile delivery context). Competencies At application stage, you More ❯

ensuring data transparency, integrity, and compliance throughout the portfolio. Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and … a sponsor licence in respect of skilled worker visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the identification of fraud and … experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science More ❯

ensuring data transparency, integrity, and compliance throughout the portfolio. Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and … a sponsor licence in respect of skilled worker visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the identification of fraud and … experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science More ❯

our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations … continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI … and ethical decisions about how we use this tech. Proactively identifying opportunities to drive efficiency and productivity through Generative AI - You stay curious, spotting where GenAI can simplify processes, enhance experiences, or save time-and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI More ❯

our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations … continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI … and ethical decisions about how we use this tech. Proactively identifying opportunities to drive efficiency and productivity through Generative AI - You stay curious, spotting where GenAI can simplify processes, enhance experiences, or save time-and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI More ❯

authority for all digital workspace products and services, with responsibility for supporting the desired architecture, integration, configuration, and lifecycle management across platforms like Microsoft 365, Azure, Intune, and Gen-AI tooling. You'll lead the technical delivery and automation of services across the Digital Employee Experience ecosystem, covering end-user computing, device management, hardware/software provisioning, service … systems (e.g., ServiceNow, JAMF, DEX tools). You'll drive the adoption of AI-based automation and telemetry ingestion for continuous service improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to … build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge management. You'll implement and fine-tune Digital Experience Monitoring (DEM) tools to measure system health, device usage, and performance. You'll analyse telemetry to deliver proactive and contextual UX More ❯

authority for all digital workspace products and services, with responsibility for supporting the desired architecture, integration, configuration, and lifecycle management across platforms like Microsoft 365, Azure, Intune, and Gen-AI tooling. You'll lead the technical delivery and automation of services across the Digital Employee Experience ecosystem, covering end-user computing, device management, hardware/software provisioning, service … systems (e.g., ServiceNow, JAMF, DEX tools). You'll drive the adoption of AI-based automation and telemetry ingestion for continuous service improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to … build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge management. You'll implement and fine-tune Digital Experience Monitoring (DEM) tools to measure system health, device usage, and performance. You'll analyse telemetry to deliver proactive and contextual UX More ❯

purpose. Your Role Join our fast-growing & collaborative Data-Driven Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a … business challenges. Beneficial to have experience in Financial Services data models like FSLDM, BIAN, Data Vault etc. Experience working across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes. Passionate about data with demonstrated ability in solving complex problems and leveraging the latest tools & technologies to create innovative data … s expertise spans across several focus areas from risk based decisioning & analytics, credit risk, financial crime and KYC/AML to data privacy, governance and the many applications of GenAI within financial services. At Capgemini Invent, our strong partnerships with our clients and partners allows us to harness the power of data and AI to address complex business More ❯

purpose. Your Role Join our fast-growing & collaborative Data-Driven Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a … business challenges. Beneficial to have experience in Financial Services data models like FSLDM, BIAN, Data Vault etc. Experience working across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes. Passionate about data with demonstrated ability in solving complex problems and leveraging the latest tools & technologies to create innovative data … s expertise spans across several focus areas from risk based decisioning & analytics, credit risk, financial crime and KYC/AML to data privacy, governance and the many applications of GenAI within financial services. At Capgemini Invent, our strong partnerships with our clients and partners allows us to harness the power of data and AI to address complex business More ❯

machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen AI tools or techniques is highly desirable. Educated to degree level (2:1 or above) in a numerical discipline. What You'll Bring: A proactive, self-motivated approach to More ❯

for building RESTful APIs, such as Django/DRF or FastAPI . Clear and effective communication skills tailored to technical and non-technical audiences. Highly Desirable: Experience with Generative AI and LLMs for delivering advanced solutions Familiarity with diverse database types (SQL, NoSQL, graph, document, etc.) and selecting the right fit for specific use cases Knowledge More ❯

The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make our customer acquisition more efficient, improve our customer retention rates … from data To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. … Support Rentokil's AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives. Collaboration: Work in tandem with the AI team to collect, create, curate, and maintain high-quality AI More ❯

week in the office) Contracts: 1x Permanent, Full Time (35 hours per week) 1x Fixed Term (18 months), Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting … opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and … learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and PyTorch/TensorFlow. More ❯

libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics … partners and to grow technical research areas of interest to you. The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal … processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Typical Responsibilities: Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material Lead novel More ❯

across all departments. Work with the CIO, to recommend and implement a scalable and secure data foundation, enabling data democratisation and providing the basis for exploitation of emerging AI technology. Design and implement scalable data architecture, including data models, common data structures and nomenclature. Ensure seamless integration of disparate data sources from various business units to provide a … platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools that facilitate … to understand their data needs and deliver tailored solutions. Liaise with external partners, vendors and regulatory bodies to ensure the organisation remains at the forefront of data, analytics & AI innovation and compliance. Ensure data is used ethically and responsibly, providing a trustworthy foundation for AI applications. Skills, Knowledge and Expertise Bachelor's Degree in Computer Science More ❯

across all departments. Work with the CIO, to recommend and implement a scalable and secure data foundation, enabling data democratisation and providing the basis for exploitation of emerging AI technology. Design and implement scalable data architecture, including data models, common data structures and nomenclature. Ensure seamless integration of disparate data sources from various business units to provide a … platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools that facilitate … to understand their data needs and deliver tailored solutions. Liaise with external partners, vendors and regulatory bodies to ensure the organisation remains at the forefront of data, analytics & AI innovation and compliance. Ensure data is used ethically and responsibly, providing a trustworthy foundation for AI applications. Skills, Knowledge and Expertise Bachelor's Degree in Computer Science More ❯

across all departments. Work with the CIO, to recommend and implement a scalable and secure data foundation, enabling data democratisation and providing the basis for exploitation of emerging AI technology. Design and implement scalable data architecture, including data models, common data structures and nomenclature. Ensure seamless integration of disparate data sources from various business units to provide a … platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools that facilitate … to understand their data needs and deliver tailored solutions. Liaise with external partners, vendors and regulatory bodies to ensure the organisation remains at the forefront of data, analytics & AI innovation and compliance. Ensure data is used ethically and responsibly, providing a trustworthy foundation for AI applications. Skills, Knowledge and Expertise Bachelor's Degree in Computer Science More ❯

across all departments. Work with the CIO, to recommend and implement a scalable and secure data foundation, enabling data democratisation and providing the basis for exploitation of emerging AI technology. Design and implement scalable data architecture, including data models, common data structures and nomenclature. Ensure seamless integration of disparate data sources from various business units to provide a … platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools that facilitate … to understand their data needs and deliver tailored solutions. Liaise with external partners, vendors and regulatory bodies to ensure the organisation remains at the forefront of data, analytics & AI innovation and compliance. Ensure data is used ethically and responsibly, providing a trustworthy foundation for AI applications. Skills, Knowledge and Expertise Bachelor's Degree in Computer Science More ❯

transparency, quality, value and trustworthiness of data and statistics b. the ethical collection, sharing and use of data throughout the organisation including the application of data science techniques, AI and generative AI to support transparency, accountability and fairness. This includes demonstrating how to apply principles in practice and could relate to difficult and highly … of social issues, types of bias and discrimination different groups can face, to inform data ethics work. Ability to evaluate and challenge assumptions in analytics, data science and AI projects, ensuring high-quality, ethical outcomes. Able to critically appraise and interpret highly complex analytical projects and advise on actions based on the comparison of a range of options. … machine learning models and validation techniques and limitations of various approaches. A sound understanding of the importance of data quality and analytical quality. Awareness of existing data and AI ethics frameworks in and outside government Knowledge of the ethical considerations and risks of data science, AI and Generative AI approaches. Strong understanding More ❯

Experience in any technology area including Technology/Digital Strategy, Enterprise Architecture, system implementation and Agile software development. Experience in innovative and emerging technology e.g. AI/GenAI Experience in cloud-based technology e.g Azure, AWS Experience in cost optimisation including financial analysis, technology vendor management, strategic planning and process improvement ToGAF or any EA architecture domain related More ❯

External Description Job Title: Consultant L4 - Generative AI & Data Strategy Grade: L4 Reporting to: Consultant L6 Role Summary Join … a dynamic team at the forefront of innovation, working closely with clients to tackle complex business challenges using cutting-edge technologies such as Generative AI (GenAI), data analytics, and advanced engineering platforms like Liberty GPT. This role blends strategic consulting with hands-on technical leadership, encompassing engineering, architecture, product ownership, and transformation initiatives at scale. As … a consultant, you will operate in ambiguous environments, helping organizations enhance their technology literacy and capabilities around AI and data-driven solutions. You will lead cross-functional teams, influence senior stakeholders, and drive strategic programs that realize measurable business value. Key Responsibilities Lead and deliver major strategic initiatives that leverage emerging technologies, including Generative AI More ❯

A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to company conferences and events - for this reason, this role is open to … applicants across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest tech, including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their … you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python and SQL scripting skills Experience delivering Data Science projects Experience with Gen-AI - and able to disucss this in depth Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving More ❯

A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to company conferences and events - for this reason, this role is open to … applicants across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest tech, including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their … you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python and SQL scripting skills Experience delivering Data Science projects Experience with Gen-AI - and able to disucss this in depth Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving More ❯

A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to company conferences and events - for this reason, this role is open to … applicants across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest tech, including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their … you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python and SQL scripting skills Experience delivering Data Science projects Experience with Gen-AI - and able to disucss this in depth Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving More ❯