101 to 125 of 3,880 Generative AI Jobs in the UK

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for entrepreneurial and technically hands-on AI Agent Engineers and Agentic AI … Agentic AI and its enterprise applications. • Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys' AI frameworks. • Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning). • Provide technical mentorship and hands-on support to junior consultants, helping shape internal capability development. • Collaborate with … integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. • Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems. What We Offer • Competitive salary and performance-linked bonus structure. • Fast-tracked career growth opportunities within a consulting-led AI practice. • Flexible hybrid work model with opportunities More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Senior Data Scientist/AI Engineer About The Job You're Considering We work with our clients to fully exploit their data using the power of AI & Analytics to deliver real business value at scale across the organisation. … years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at scale. We … built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information More ❯

Senior AI Consultant We are open to full-time or part-time applicants for this role! Are you returning from maternity leave? We'd love to hear from you! Salary : £67,185 to £77,664 (depending on experience). Location : Remote – must be based within the UK. Occasional visits to see customers and the team. Interview process: Two … in Production . Read our Blogs . Who Are We? Advancing Analytics is a market leader in delivering cutting-edge analytical solutions worldwide. We help businesses implement innovative AI and ML solutions to solve complex challenges. On an average day, you might help a customer implement a large language model or deploy an end-to-end ML pipeline … to automate AI offerings for major organizations. What skills do we want you to have? We work with a lot of tech, and we'd love to speak to you if you have knowledge of: Developing high-quality machine learning models using Databricks ML, Microsoft Azure Machine Learning, and Microsoft AI Studio. Developing production-quality code More ❯

Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients. Lead data science product development start to end … of mathematical foundations of Machine Learning models. Able to translate business problems into problems that can be solved with Data Science. Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs. Econometrics/Financial Engineering background. Time series modelling. Cloud (AWS, GCP, Azure). Experience with model visualization and explainability. About S&P Global Market Intelligence: At S&P More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. … to align data science efforts with broader business objectives. Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in … ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 month ago SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free) London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 day ago London Area, United Kingdom More ❯

dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as … data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to business Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals. Stay up to date with the latest advancements in AI, machine learning, NLP, and large language models, and … similar. Proficiency in machine learning and and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc. Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication and leadership skills, with a More ❯

Partner with and influence stakeholders across the ViiV insights & analytics space and in the broader Tech organization in the development of the ViiV data architecture and data/AI governance framework. Basic Qualifications: First and foremost, you will be enthusiastic and energised about data and be driven to share that knowledge and excitement with others. In addition: Master … related field i.e. MBA, Statistics, Data Science or equivalent experience (Mathematics, Information Science, Computer Science, or similar) Hands on experience with Advanced Analytics, Generative AI (GenAI), Statistics in a commercial environment A passion for writing clean, maintainable code in Python A broad knowledge of tech; comfortable recommending non-data science solutions where appropriate Proven experience of … would be a plus: PhD - in a STEM subject and experience in related field i.e. Statistics, Data Science or equivalent experience (Mathematics, Statistics, Information Science, Computer Science, ML, AI, Bioinformatics or similar) Demonstrated experience in product ownership and stakeholder management. Demonstrated experience with Azure stack (databricks, AMLS, etc.) Knowledge of the data landscape in healthcare (EHR, claims data More ❯

Job Description Department: Information Technology Job Summary We are seeking a highly skilled and motivated Data Scientist with a strong focus on machine learning (ML) and artificial intelligence (AI) to join our innovative team. The ideal candidate will excel in developing, deploying, and optimizing ML models and AI solutions, leveraging cutting-edge technologies like Azure Machine … Learning, AutoML, and cloud-based AI tools. This role is essential for driving insights, automating processes, and delivering impactful business outcomes. Key Responsibilities ML and AI Model Development Design, build, and deploy machine learning models using advanced algorithms, including AutoML techniques. Develop and fine-tune models for regression, classification, clustering, and deep learning. Explore and implement … state-of-the-art AI approaches such as transformer models, generative AI, and reinforcement learning. Expertise in natural language processing to analyze and generate insights from unstructured text data. Advanced Analytics and Insights Extract actionable insights from structured and unstructured datasets to support strategic decision-making. Use predictive and prescriptive analytics to solve business More ❯

learning solutions. Owns key model maintenance tasks and lead remediation actions as needed. Stays informed about the latest trends in the AI/ML/LLM/GenAI research and operate with a continuous-improvement mindset. Required qualifications, capabilities, and skills: Advanced degree (MS, PhD) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics … or equivalent experience Extensive relevant experience in data analysis and AI/ML domain In-depth expertise and extensive experience with ML projects, both supervised and unsupervised Strong programming skills with Python, R, or other equivalent languages. Proficient in working with large datasets and handling complex data issues. Experience with broad range of analytical toolkits, such as SQL More ❯

Social network you want to login/join with: We are seeking a GenAI/Data Scientist to join our AI Innovation Team . This role will focus on experimenting, optimising and applying Generative AI off the shelf models to extract valuable insights from large-scale patent datasets and enhance our search and analytics … enhance patent search and analytics applications. Stay up to date with the latest research and developments in the field of natural language processing (NLP) and machine learning. Work on GenAI techniques like Prompt Engineering , RAG (Retrieval-Augmented Generation) and perform evaluation using frameworks to optimise LLM performance. Develop and implement machine learning workflows, focusing on the integration of GenAI with … working with transformer based LLMs and NLP frameworks (e.g. Hugging Face, Spacy, Pytorch/Tensorflow etc ). Knowledge of Prompt Engineering , RAG techniques and various evaluation methodologies for integrating GenAI with search/retrieval systems and measure the quality . Experience working with cloud platforms like Azure , AWS , or GCP for machine learning workflows. Understanding of data engineering pipelines and More ❯

learning solutions. Owns key model maintenance tasks and lead remediation actions as needed. Stays informed about the latest trends in the AI/ML/LLM/GenAI research and operate with a continuous-improvement mindset. Required qualifications, capabilities, and skills: Advanced degree (MS, PhD) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics … or equivalent experience Extensive relevant experience in data analysis and AI/ML domain In-depth expertise and extensive experience with ML projects, both supervised and unsupervised Strong programming skills with Python, R, or other equivalent languages. Proficient in working with large datasets and handling complex data issues. Experience with broad range of analytical toolkits, such as SQL More ❯

leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. About the Team The Fitch Group's AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and … practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage data to meet business objectives. Develop, in collaboration … with senior engineers, scalable solutions and workflows that leverage ML & Gen AI to meet enterprise requirements. Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and More ❯

Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions … strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define … design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with More ❯

stakeholders across different geographies, driving innovation through advanced AI methodologies. Responsibilities Oversee the development of AI solutions, managing the team's delivery of LLM and GenAI initiatives. Drive recruitment efforts, identifying and hiring top talent to grow the team's AI expertise. Lead strategic planning for the team's career progression, providing feedback and … day-to-day activities, ensuring project timelines are met and obstacles are addressed promptly. Ensure solutions are scalable, maintainable, and aligned with best practices in machine learning. Work on GenAI techniques like Prompt Engineering and RAG (Retrieval-Augmented Generation) to optimize LLM performance. Develop and implement machine learning workflows, integrating GenAI with existing data infrastructure. Perform continuous evaluations and improvements … Proficiency in Python and experience with LLMs and NLP frameworks (e.g., Hugging Face, Spacy, Pytorch/Tensorflow). Knowledge of Prompt Engineering, RAG techniques, and evaluation methodologies for integrating GenAI with search/retrieval systems. Experience with LangChain/LlamaIndex, vector databases (e.g., FAISS), and fine-tuning models on domain-specific data. Experience with cloud platforms like Azure, AWS, or More ❯

Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to … practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage data to meet business objectives. Develop, in collaboration … with senior engineers, scalable solutions and workflows that leverage ML & Gen AI to meet enterprise requirements. Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and More ❯

Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to … practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage data to meet business objectives. Develop, in collaboration … with senior engineers, scalable solutions and workflows that leverage ML & Gen AI to meet enterprise requirements. Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and More ❯

ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the … of making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users … KPIs for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress More ❯

ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the … of making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users … KPIs for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress More ❯

a 3 month rolling contract, hybrid based with some travel to office in Berkshire. In this position you will lead the design and delivery of AI and GenAI use cases across Networks and Customer Experience (CX) domains. This role sits at the intersection of strategy, architecture, and execution—playing a pivotal role in shaping the future of intelligent … technology teams, and business stakeholders to deliver scalable, secure, and impactful solutions. Key Responsibilities: Solution Ownership: Design, architect, and lead end-to-end delivery of AI/GenAI use cases in networks and CX Product Lifecycle Leadership: Own the full lifecycle of each use case, from initial discovery and PoC to MVP development, pilot rollout, and enterprise-wide … closely with IT, Big Data, Security & Privacy, Digital, and Business Unit teams to ensure integration, compliance, and delivery readiness Technology Leadership: Evaluate and leverage modern AI/GenAI capabilities including LLMs, RAG pipelines, MLOps, and cloud-native tooling Governance and Compliance: Ensure solutions adhere to enterprise governance, responsible AI principles, data protection regulations, and security best More ❯

The Opportunity Join EY's Transformation capability within the Tax Technology and Transformation Consulting team. This role offers a unique chance for a skilled Senior Data Scientist/AI Engineer to leverage Generative AI to enhance tax compliance and strategy. The ideal candidate will have a strong analytical mindset and extensive experience in developing … generative AI solutions. You will work with clients to understand their challenges and identify how Generative AI (or AI broadly) can transform their tax operations, aligning with their business strategy and delivering measurable ROI. Embrace the future of tax technology with us! Key Responsibilities Design, develop, and implement generative AI solutions to solve complex business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience More ❯

Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role You will be joining the Data and AI Advisory team where we collaborate with our clients to improve their use of data and enable them to become truly data-driven enterprises. You will have the opportunity to … partnering with them to identify and address their challenges related to the delivery of data management and modelling services. Develop your network and expertise in innovative areas including generative AI, user-centred design, advanced analytics, machine learning, data visualisation, data modelling, as well as information governance. Employ your skills and experience across all areas of Analytics … and AI to drive initiatives with our clients and deliver innovative data products and models, engineer insights, roll out analytical solutions, and scale their data capabilities. Work collaboratively with our clients to answer their business questions and drive bottom-line performance improvement through Analytics and AI. Co-create and co-design data and intelligence products with stakeholders to More ❯

Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role You will be joining the Data and AI Advisory team where we collaborate with our clients to improve their use of data and enable them to become truly data-driven enterprises. You will have the opportunity to … partner with them to identify and address their challenges related to the delivery of data management and modelling services. Develop your network and expertise in innovative areas including generative AI, user-centred design, advanced analytics, machine learning, data visualisation, data modelling, as well as information governance. Employ your skills and experience across all areas of Analytics … and AI to drive initiatives with our clients and deliver innovative data products and models, engineer insights, roll out analytical solutions, and scale their data capabilities. Work collaboratively with our clients to answer their business questions and drive bottom-line performance improvement through Analytics and AI. Co-create and co-design data and intelligence products with stakeholders to More ❯

engineers, and analysts. Desirable skills: - Knowledge of Data Visualization Tools: Experience with tools such as MicroStrategy/Power BI. - Terraform: Experience with Terraform and Terragrunt for infrastructure as code. - GenAI: Experience with Generative AI technologies. All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in More ❯

Experience working with enterprise BI tools Exposure to dashboard automation , embedding, or performance optimisation Understanding of data governance , quality assurance, and best practices in analytics Familiarity with NLP , generative AI , or predictive analytics is a plus Experience or exposure to data science and ML approaches is a plus Comfort working in cross-functional, Agile environments What More ❯

dream big, own every outcome, and think global but act local – come join our team! Essential Job Functions: Provide innovative solutions for problems in commercial real estate using generative AI and other machine learning algorithms Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial … algorithms to find patterns in financial data sets, especially time series, related to commercial real estate Translate business problems and requirements into tasks that can be solved with generative AI, machine learning, or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with engineering and product development … such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required Mid-level professional with 2-4 years of ML/AI experience, typically at an Analyst level role or external equivalent A scientific approach to solving problems, an analytical mind, and experience in applied machine learning and generative More ❯