76 to 100 of 2,021 Generative AI Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Opportunity Join EY’s specialist Transformation capability within the Tax Technology and Transformation Consulting team. This role offers a unique opportunity for a skilled Senior Data Scientist/AI Engineer to leverage Generative AI in enhancing tax compliance and strategy. The ideal candidate will have a strong analytical mindset and extensive experience in developing … generative AI solutions. You will engage with clients to understand their challenges and identify how Generative AI (or AI more broadly) can transform their tax operations, ensuring alignment 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 More ❯

terms of the performance and personal competencies required for the position, the following are important: Technical Ability A deep understanding of data science, analytics platforms/ML domains, especially GenAI and NLP. Experience with frameworks (eg. PyTorch, TensorFlow, or JAX) and LLM’s (e.g. prompt engineering, fine tuning, RAG). Experience building and fine-tuning various ML Models (supervised and … implement innovative data solutions to meet user requirements, continuously research best practices to optimize existing processes and develop innovative data based solutions in the data science space (e.g. Generative AI) Can work in partnership with other technical areas of the business such as Actuaries, Underwriting Insights, Data Engineers, IT and Solutions Architecture to drive the use 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 … where you can grow, innovate, and make a difference. Wa nt to learn mo re about a career in technology and data at Fitch? The Fitch Group’s AI Implementation Chapter is seeking a seasoned Senior Machine Learning Engineer with 6+ years of experience to drive advanced AI/ML initiatives across the Fitch Ratings organization. … In this role, you will not only design and implement enterprise-grade ML and Generative AI solutions but also mentor junior engineers, lead projects, and help shape our AI technical strategy. You will work closely with product squads, business partners, and crossfunctional teams to integrate advanced AI solutions into flagship Fitch Ratings More ❯

built for the speed of today's market, eliminating disconnects between pricing strategy and rebate execution. We help companies to increase profitability and simplify the complex with accurate, AI-powered insights, real-time performance monitoring, agreement optimization, and simplified rebate management. After securing $291M in Series A-D funding and acquiring Flintfox in 2025, Enable is positioned for … Enable? Visit our Life at Enable page to learn how you can be part of our journey. We're hiring a Senior Machine Learning Engineer to join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you'll work closely with ML scientists, data engineers, and … product teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows -into production. As a Senior Machine Learning Engineer, you'll play a key role in developing and integrating cutting-edge AI solutions-including LLMs and AI agents -into our products and operations at More ❯

Machine Learning Engineer role at Enable 1 week ago Be among the first 25 applicants Join to apply for the Sr. Machine Learning Engineer role at Enable Get AI-powered advice on this job and more exclusive features. At Enable, we are transforming the supply chain with our cutting-edge rebate management software. We see rebates as a … Enable? Visit our Life at Enable page to learn how you can be part of our journey. We’re hiring a Senior Machine Learning Engineer to join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you’ll work closely with ML scientists, data engineers, and … product teams to help bring innovative solutions—such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows —into production. As a Senior Machine Learning Engineer, you’ll play a key role in developing and integrating cutting-edge AI solutions—including LLMs and AI agents —into our products and operations at 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 More ❯

industry experience, with at least 3+ years at a project lead level. Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences). Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure information residing in the … governance, access controls, and regulatory alignment (e.g., GDPR, HIPAA) Proficient with modern AI tooling and ecosystems, including Hugging Face, Cursor, vector DBs, and productivity tools that accelerate GenAI development Expertise in GenAI and LLMs, with hands-on experience in RAG solutions and agentic frameworks; capable of leading end-to-end design and deployment of GenAI-driven systems Proven More ❯

across all processes and channels and enable limitless growth. We are combining the unmatched trust, security, scope, scale and capability of the Salesforce platform with the power of generative AI, RAG, reasoning engines, workflow, automation and data to enable our customers to deliver agentic AI value that goes far beyond the standalone use of … engagements. We are creating a dedicated team of Agentforce experts that will scope and deliver these engagements, working full time with customers to help them realise their Agentic AI vision through real experience of what is possible using Salesforce technology. Role Description The Agentforce Solution Engineer role will be crucial in bridging the gap between describing the potential … Cloud and Technical Architect teams. It will also involve collaboration with the new Consumption Lead roles for Data Cloud, the Agentforce Success Engineer role and the Professional Services AI Practice. The purpose of a POC is to demonstrate how Agentforce can deliver against a set of agreed use cases and success criteria that are defined collaboratively with our More ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from causaLens. causaLens is pioneering the world’s first platform for building AI data scientists - empowering everyone to create and deploy their own data science agents in days. Our platform enables teams to collaborate in a multi-agent environment, ensuring … human oversight across the entire workflow and making AI-powered data science trustworthy and accessible to everyone – from analysts to business leaders. We power industry leaders, including Cisco, Johnson & Johnson, Canon, and McCann Worldgroup, to accelerate and scale their data science capability. Join us to build the World’s First Platform for AI Data Scientists. What … customer-facing roles, especially in the supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or the public sector is a plus. Experience with LLM and RAG, GenAI, and agentic workflows is a plus. We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, and a good work More ❯

from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machine learning models and AI systems to maximize performance, scalability, and real-world accuracy. Explaining complex data science concepts in order to engage stakeholders and promote data-driven decision-making across departments. Collaborating with … and infrastructure with business goals. What Kind of Things We’re Most Interested in You Having A bachelor's or master's degree in computer science, Data Science, AI, Software Engineering, or a related field is preferred. 5+ years of experience in a data-science related role, with hands-on experience in data science engineering. Proficiency in programming … data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. RLDatix is an equal opportunity employer 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 ❯

Healthiest Workplace. The Position The Digital, Data and IT, Research and Early Development (DD&IT-R&ED) team is on the lookout for a passionate and innovative Lead AI/ML Engineer with solid expertise in deploying LLM models into production. This … role is pivotal in optimizing and deploying AI/ML solutions that drive the future of drug development. You will work with a state-of-the-art GenAI application with multi-agent workflow that helps with the drug discovery portfolio management. It's an opportunity to revolutionize ML in the pharmaceutical industry and collaborate with a diverse, strong … and upbeat cross-functional team. Your key responsibilities will include: Collaborative Innovation: working directly with AI/ML scientists on optimization and production deployment of solutions, creating blueprints, and acting as an internal consultant to transition ideas from prototype to production. Data Exploration & Visualization: Exploring and visualizing data to understand those and identify differences in data distribution that More ❯