51 to 75 of 3,877 Generative AI Jobs in the UK

Czechia/Central & East Europe Remote Bloomreach helps businesses personalize the customer experience. It leverages the industry's only real-time customer and product data to train advanced AI, which powers personalized marketing, product discovery, content management, and conversational shopping in a single solution. This AI-driven approach empowers over 1,400 global brands, including Bosch … and drive measurable growth along the way. Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for search, recommendation and behavioral insights that are used to personalize digital experiences for our customers. The salary starts at €3,800 gross per month, along with …/analytical algorithms in a corporate/startup environment. Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials. Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and 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 tools. … AI use cases, including automated summarisation, natural language understanding, and text generation. Ensure solutions are scalable, maintainable, and aligned with best practices in 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 … and experience working with LLMs and NLP frameworks (e.g. Hugging Face, Spacy, Pytorch/Tensorflow etc). Experience with Prompt Engineering, RAG techniques and various evaluation methodologies for integrating GenAI with search/retrieval systems and measure the quality. Experience with LangChain/LlamaIndex, vector databases (e.g., FAISS), fine-tuning models on domain-specific data. Experience working with cloud platforms More ❯

Join to apply for the Python Data Engineer III- Machine Learning role at Latinx in AI (LXAI) 2 days ago Be among the first 25 applicants Join to apply for the Python Data Engineer III- Machine Learning role at Latinx in AI (LXAI) Get AI-powered advice on this job and more exclusive features. … tune large language models to enhance performance and accuracy. Apply deep learning architectures such as LSTMs and Transformers to relevant projects. Stay updated with the latest advancements in generative AI and implement innovative solutions. Conduct statistical analysis to support model development and validation. Required Qualifications, Capabilities, And Skills Formal training or certification on Data engineering concepts … statistics and machine learning theory. Experience with deep learning architectures, including LSTMs and Transformers. Experience in fine-tuning large language models. Knowledge of generative AI (GenAI) technologies. Strong problem-solving skills and the ability to work independently and collaboratively. Excellent communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications, Capabilities, And Skills More ❯

Responsibilities: Line management of an Analyst in Data Science and three Senior Research Assistants. Work with the Technical Agent for Data Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling … Develop and implement complex data science solutions, ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence working alongside Advanced Analytics. Work collaboratively with Agents to implement new analytical tools, including scoping and leading projects. Work collaboratively with the PAs and other support staff in the Network to … management skills with the ability to manage and develop a team consisting of an Analyst Data Scientist and three Senior Research Assistants. Thought leadership on data science and AI capabilities Proficiency in data visualisation tools (e.g. Tableau, Power BI) and presenting data effectively. Desirable criteria Experience and knowledge of Cloudera Data Platform. Change management experience. An appreciation of More ❯

and take our platform into the future. As part of our team, you will play a key role in analyzing our data and designing models that enhance our AI-powered analytics capabilities. You'll work alongside our skilled team of engineers and machine learning experts, directly contributing to next-generation capabilities that enable our users to automate their … and analyze A/B tests to measure the effectiveness of new features and models. Develop data visualization dashboards to communicate insights to users and stakeholders. Apply responsible AI practices in all aspects of model development. Analyze model performance, diagnose issues, and recommend improvements. Research and evaluate emerging technologies in NLP, information retrieval, and ML. Document methodologies, model … to present findings to technical and non-technical stakeholders. Fluent in English. You get bonus points if you have any of the following: Experience with large models and generative AI technologies. Background in information retrieval systems or search engine development. Experience with OSINT or intelligence analysis tools and methodologies. Understanding of data privacy regulations and security More ❯

generation. Build and leverage knowledge graphs to enhance language understanding and enable more advanced NLP applications. Develop methods to integrate and utilize LLMs, such as GPT (Azure Open AI), BERT or open source foundational LLM's (Llama2), for natural language understanding and generation tasks. Conduct thorough exploratory data analysis to gain insights into text data characteristics and develop … A combination of education and relevant experience will also be considered. Proven experience as a Data Scientist with a strong focus on RAG. Knowledge of leveraging Azure Open AI and various foundational LLM's for Retrieval Augmented Generation (RAG) architecture including opensource. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning PEFT/LoRA, Context embedding, Vector … database technologies and Semantic Search techniques & tools. Proficiency in programming languages such as Python and experience with NLP libraries such as NLTK, spaCy, Transformers, Hugging Face, BERT and Gen AI frameworks like Llangchain. Llamaindex etc. Strong problem-solving skills and ability to handle complex NLP challenges. Excellent communication and collaboration skills, with the ability to work effectively in More ❯

teams to drive data-driven decision-making and contribute to the development of innovative solutions. Responsibilities: Data Modeling and Evaluation: Utilize advanced statistical and machine learning techniques, including Gen AI technologies, to analyze and interpret complex datasets.Evaluate model performance and iterate on models to improve accuracy and efficiency, especially in the context of Gen AI technologies. … trends, patterns, and insights relevant to financial markets, customer behavior, and business performance.Pre-process and clean large datasets to extract relevant features for modeling, with an emphasis on Gen AI data preprocessing techniques.Collaborate with data engineers to ensure data quality and optimize data pipelines for Predictive analytics and Gen AI applications. Collaboration and Communication: Work closely … with cross-functional teams, including software engineers, data engineers, and domain experts, to integrate AI models, particularly Gen AI models, into applications and systems.Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner. Continuous Learning: Stay abreast of the latest advancements in data science, machine learning, AI and 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 ❯

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 ❯

regions and across many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics/AI solutions. We are looking to fill the role of Insights & Data Head of Country for … Services team in the UK. The ideal candidate will have a strong background in Data & Analytics within the Financial Services sector and a passion for leveraging data and AI to drive business transformation. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it … Present solutions and respond to RFPs, review MSAs and other contractual agreements, and work with Project Management team on proposals and SOWs. Build strategy for accelerated growth in AI and Data. Engage with Group Account Executives to plan the overall client relationship strategy. Strategic Leadership : Develop and execute go-to-market strategies for our Financial Services Insights & Data More ❯

data collection, analysis and reporting. Data analysis Analyse data trends, patterns and anomalies using statistical techniques to derive meaningful insights. Model development and evaluation Utilise machine learning, NLP, Generative AI, and other advanced statistical methods to build predictive and descriptive models. Validate and refine models to ensure accuracy and reliability. Reporting A proven track record of More ❯

client's dynamic team as Senior Director for Software Engineering with an equity stake in our future success. The role will be to lead the software innovation, shape AI-first platforms, and become a trusted advisor within the executive team. Your Mission: You'll spearhead our client's technical vision while managing high-performing teams to deliver scalable … revenue growth. Possessing excellent communication skills and strong team leadership skills with a track record of proven success. Key Responsibilities: Strategic Leadership will be required to implement an AI-first development approach across all solutions. Possess strong Team Leadership skills to build and mentor high-performing engineering teams whilst driving accountability and excellence in project delivery. Technical Excellence … Oversee development of scalable, secure software solutions. Champion AI-first software architecture. Ensure robust system architecture and cybersecurity compliance. Experience Required: 5+ years in software engineering with 3+ years in senior management. Proven success implementing AI-first software solutions. Experience with cloud platforms (GCP, AWS, Azure). Track record scaling technical teams and delivering complex projects. More ❯

IT, you will be responsible for extracting meaningful insights from complex datasets to support strategic decision-making. You will leverage advanced analytics, machine learning techniques, Large Models (LLMs), Generative AI, and Python programming to build scalable data-driven solutions. Key Responsibilities Develop and implement machine learning models, including LLMs, to optimize insurance services and automation. Apply … analytics and statistical modelling. Collaborate with cross-functional teams to align data science initiatives with business objectives. Communicate complex data findings clearly to stakeholders. Stay updated with emerging AI trends and their applications in the insurance industry. Recommend statistical/machine learning tools and technologies to prototype new concepts. Retrieve and collect open and closed data sources, including … real-world problem solutions. Mentor and coach less experienced colleagues. Skills, Knowledge, and Expertise Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, LLMs, and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms and infrastructure. Familiarity with insurance data, risk More ❯

, Data Science and Analytics projects and, working closely with your colleagues, ensure Client expectations are met at all stages. Inspiring our clients by exploiting the potential of Gen AI, data science and analytics in their businesses through demonstrations. Designing and implementing AI Solutions at scale for our clients in collaboration with our architecture and platforms … team. Inspiring our data science consultants to develop their technical capability and champion data science delivery excellence. Determining and shaping how new skills in the fields of AI, Data Science and Analytics will be deployed to ensure the appropriate new methods and technologies are applied to meet client needs. Delivering work in a structured manner, finding a balance … ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has to offer to unlock business value. Demonstrable experience in delivering solutions to the real-world issues and challenges with data that our clients face regularly, strong stakeholder 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 … market leading cloud solutions to ensure seamless integration with larger hyperscalers such as AWS, Azure and GCP to support key downstream uses including machine learning, AI/GenAI solutions. In this role you will play a key role in: Cloud Solution Architecture: Design and implement scalable, secure, and resilient data solutions on AWS, ensuring best practices in architecture … 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 … market leading cloud solutions to ensure seamless integration with larger hyperscalers such as AWS, Azure and GCP to support key downstream uses including machine learning, AI/GenAI solutions. In this role you will play a key role in: Cloud Solution Architecture: Design and implement scalable, secure, and resilient data solutions on AWS, ensuring best practices in architecture … 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 … market leading cloud solutions to ensure seamless integration with larger hyperscalers such as AWS, Azure and GCP to support key downstream uses including machine learning, AI/GenAI solutions. In this role you will play a key role in: Cloud Solution Architecture: Design and implement scalable, secure, and resilient data solutions on AWS, ensuring best practices in architecture … 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 ❯

crafting the data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a plethora of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. Your Role As a Senior Data Engineer, you will: Collaborate and Innovate: Partner with both … both internal and external audiences. Versatile Experience: Working with varying organisations, from SMC to Enterprise. Agile Methodologies: Commercial Agile experience is desirable. Certification Preferred: Microsoft certifications are advantageous. AI Aware: An understanding of Data Science and knowledge of Generative AI would be beneficial but not a firm requirement. Working at Ascent At Ascent we More ❯

crafting the data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a plethora of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. Your Role As a Senior Data Engineer, you will: Collaborate and Innovate: Partner with both … both internal and external audiences. Versatile Experience: Working with varying organisations, from SMC to Enterprise. Agile Methodologies: Commercial Agile experience is desirable. Certification Preferred: Microsoft certifications are advantageous. AI Aware: An understanding of Data Science and knowledge of Generative AI would be beneficial but not a firm requirement. Working at Ascent At Ascent we More ❯

purpose. Your Role You will be joining our dynamic and growing team of analytics product specialists, united by a shared mission to deliver end-to-end analytics and AI transformation that prioritises business value. As a Consultant/Senior Consultant, you will play a pivotal role in solving complex data and AI challenges for our clients … and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI … solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic More ❯

purpose. Your Role You will be joining our dynamic and growing team of analytics product specialists, united by a shared mission to deliver end-to-end analytics and AI transformation that prioritises business value. As a Consultant/Senior Consultant, you will play a pivotal role in solving complex data and AI challenges for our clients … and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI … solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic More ❯

purpose. Your Role You will be joining our dynamic and growing team of analytics product specialists, united by a shared mission to deliver end-to-end analytics and AI transformation that prioritises business value. As a Consultant/Senior Consultant, you will play a pivotal role in solving complex data and AI challenges for our clients … and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI … solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic More ❯

analytical road-maps Deliver end-to-end analytical work-streams : data scoping, modelling, insight generation, presentation Build, test and document production ready ML models -from gradient boosted trees to GenAI and timeseries forecasting-packaged as internal Python packages or RESTful services. Build interactive front-ends (Tableau, Streamlit, Plotly Dash) so non-technical users can explore results intuitively Turn insights into … actionable recommendations and present findings to clients; Contribute reusable components (feature engineering blocks, forecasting engines, GenAI pipelines) to our internal AI/ML toolkit Support business-development by shaping analytics in proposals and thought-leadership Tech you'll use (and learn) Python SQL scikitlearn XGBoost TensorFlow/PyTorch LangChain Airflow dbt AWS/GCP/Azure Docker Kubernetes More ❯

analytical road-maps Deliver end-to-end analytical work-streams: data scoping, modelling, insight generation, presentation Build, test and document production ready ML models—from gradient boosted trees to GenAI and timeseries forecasting—packaged as internal Python packages or RESTful services. Build interactive front-ends (Tableau, Streamlit, Plotly Dash) so non-technical users can explore results intuitively Turn insights into … actionable recommendations and present findings to clients; Contribute reusable components (feature engineering blocks, forecasting engines, GenAI pipelines) to our internal AI/ML toolkit Support business-development by shaping analytics in proposals and thought-leadership Tech you’ll use (and learn) Python SQL scikitlearn XGBoost TensorFlow/PyTorch LangChain Airflow dbt AWS/GCP/Azure Docker Kubernetes More ❯

the Data Engineer role at Sword Group 3 weeks ago Be among the first 25 applicants Join to apply for the Data Engineer role at Sword Group Get AI-powered advice on this job and more exclusive features. Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving transformational change within … England, United Kingdom 6 days ago Greater London, England, United Kingdom 1 day ago Mid-level - Senior Software Engineer - Financial Reporting London, England, United Kingdom 3 months ago Freelance GenAI Developer - Prompt Engineering & Data Workflows London, England, United Kingdom 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with More ❯