126 to 150 of 2,031 Generative AI Jobs in London

meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers. About the Role We are looking for a hands-on, production-minded AI Engineer to join our growing AI team. This is an exciting opportunity to develop and deploy generative AI and LLM-based applications at … scale. You'll work closely with software engineers, data scientists, and product teams to bring advanced AI capabilities into real-world healthcare and life sciences applications. You'll be at the forefront of deploying agentic AI frameworks and LLM-powered features into production systems, designing AI infrastructure, and establishing best-in-class MLOps and … LLMOps practices. Key Responsibilities Design, build, deploy, and maintain scalable AI services and infrastructure using cloud-native tools (Azure and AWS preferred). Develop robust backend systems and APIs to support AI workflows and inference pipelines. Integrate with third-party LLM APIs and manage usage, rate limits, reliability, and cost efficiency. Optimise AI prompting More ❯

companies that have made a positive social and environmental impact through activities that are part of their core business strategies. Position Summary: We are seeking a visionary Senior AI/ML Scientist to be part of ground-breaking research at the forefront of somatic genomics . You will be part of a dynamic team at Quotient’s multidisciplinary … research environment comprising AI scientists, computational biologists, genome scientists, software engineers, and disease area specialists. You will also work closely with specialists in translational science, drug discovery, and pre-clinical modelling. In this role, you will be responsible for designing and implementing novel machine learning and deep learning methods applied to somatic genomics. This includes identifying research problems … fast-paced, evolving environment. Passion for applying machine learning to life sciences, with an understanding of genomics and its impact on drug discovery. Additional Preferred Skills: Experience with AI Vision techniques (e.g., image segmentation, classification). Familiarity with Generative AI (LLMs). Experience with large-scale multi-omics data analysis. Hands-on experience with More ❯

Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We’re using … to design and implement key NLP components for products, addressing specific tasks such as information extraction, text classification, summarization, and other language processing tasks. Build and Evaluate GenAI Solutions : Leverage Cloud services such as AWS and Azure to build, test, and optimise Generative AI models and solutions, ensuring alignment with business requirements and scalability. … best practices, and key learnings, sharing knowledge and providing mentorship to team members where necessary. Requirements Experience: Degree in Computer Science or related field Industrial experience using ML and GenAI to build NLP components for products Experience with prompt engineering Experience writing, reviewing, and maintaining production-quality Python code for NLP applications Experience working with CI/CD pipelines Experience More ❯

will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready … solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI … team to design, build, and deliver capabilities in agile sprints. Work with cross-functional teams, including data scientists, software engineers, and designers. Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on experience 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 … to translate business problems into problems that can be solved with Data Science Strong communication and data science project leadership skills Desirable Skills Good familiarity with recent developments in GenAI and LLMs Econometrics/Financial Engineering background Time series modelling Revenue and other company financials modelling Cloud (AWS, GCP, Azure) Experience with model visualization and explainability About S&P Global More ❯

will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready … solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI … team to design, build, and deliver capabilities in agile sprints. Work with cross-functional teams, including data scientists, software engineers, and designers. Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on experience More ❯

will be dedicated to build and support Generative AI, Machine 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 … communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning and gen AI solutions to meet enterprise goals and support experimentation and innovation. Collaborate with data scientists to identify innovative machine learning and Gen AI solutions that leverage data … to meet business goals. Designs and develops scalable solutions and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements. Actively participate in maintaining SLAs for Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions Build with More ❯

Dash/NetworkX). Familiarity with network analytics. Knowledge of compliance-related domain (sanctions, transaction monitoring, KYC, fraud detection, ...) ideally in the financial industry. Previous exposure to generative AI and/or Natural Language Processing. Familiarity with cloud platforms, preferably Azure #J-18808-Ljbffr More ❯

product owners and business founders, brand strategists and event professionals. We work hard to build a culture of innovation that encourages experimentation and an open mindset to problem solving. GenAI Enablement Team under CPG (Central Product Group) is seeking an experienced Python engineer to join our team working on cutting-edge generative AI applications. Role/… Responsibilities: In this role, you will be responsible for developing and maintaining the backend systems that power our generative AI models and services. You will work closely with our machine learning engineers, data scientists, and product teams to build highly scalable, efficient, and reliable systems that enable our generative AI models to … be deployed and served in production environments. • Design, develop, and maintain backend systems and APIs for serving use cases that are integrated with generative AI models, including text generation, image generation, and multimodal models. • Optimize and scale the backend infrastructure to handle high-volume traffic and ensure low-latency model inference. • Implement caching, load balancing, and More ❯

Basel 3 Regulatory Framework, FRTB and BCBS 239, and prepare for upcoming regulation around Liquidity and Interest Rate Risk and supporting our clients in leverage how to deploy AI in their businesses responsibly. As we look to the future prudential regulation will increasingly have a Climate Risk component, and EY have been recognised as leaders in ESG and … Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative AI Testing/quality engineering; experience of test automation will be beneficial Process Automation More ❯

clients’ digital agendas and lead them toward next-generation operational models—digitally transforming end-to-end journeys using advanced analytics, intelligent automation, generative AI (gen AI), and agile methodologies in service-oriented industries. Additionally, you will assist our client teams in developing strategies and technology roadmaps for implementing processes and operating systems that support … applications connected to digital service operations. As part of your role, you will help clients imagine and implement the future of service delivery—where AI, gen AI, and agentic technologies are reshaping how services are designed, delivered, and scaled. You will work with cross-functional teams to explore AI-native operating models, integrate intelligent … and your transcripts (high school, university, etc.), indicating all relevant grades. Your Qualifications and Skills Master’s degree and exceptional academic performance Initial experience or strong interest in AI-powered service innovation, including digital solutions, robotics, and emerging technologies such as generative AI, intelligent agents, and AI-native service models—ideally in More ❯

Job ID: AWS EMEA SARL (UK Branch) - F93 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 at AWS helps AWS customers implement Generative AI … 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 and train and fine tune the right models … 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 Collaborate with AI/ML scientists, engineers More ❯

We’re ambitious. We’re growing. We’ve won awards. Are you looking to advance your career in a dynamic and fast-paced environment? We’re seeking an AI & Machine Learning Engineer to join our innovative technology and data teams. Working as an AI & Machine Learning Engineer you’ll be responsible for understanding and answering complex … business questions using advanced data and analytics techniques. You’ll be technically proficient in the end-to-end AI and machine learning model development lifecycle, with experience of prompt engineering, and a keen interest in keeping up with the rapidly evolving industry trends. Your role will include working closely with business stakeholders to create hypotheses, design and evaluate … You’ll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You’ll support the implementation of AI, GenAI and Machine Learning on cloud (Experience with Azure, Azure ML, Azure Open AI and Databricks is advantageous). You’ll provide technical thought-leadership to the organisation around More ❯

Senior Data Scientist We're looking for an exceptional Senior Data Scientist with AI expertise to join our Analysis team and help shape the intelligent backbone of our 3D design and GIS product ecosystem. You'll play a key role in developing machine learning models, predictive systems, and AI-driven analytics that power and enhance our … data pipeline infrastructure and product intelligence. This is a hands-on role focused on applying AI techniques to both geospatial and non-geospatial data, 3D workflows, and internal datasets to drive automation, insights, and new product capabilities. We present an opportunity to contribute to novel research into developing spatial intelligence models, as well as the practical application of …/GIS platforms and internal tooling. Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions. Collaborate with external AI specialists to deliver larger-scale projects. Explore, clean, and transform large datasets for training, validation, and inference, including geospatial and 3D data types. Design, test, and deploy predictive models More ❯

data science consultancy with 400+ Data Science and Engineering consultants across Paris, London, New York, Hong Kong and Shanghai. We help global businesses unlock growth through advanced analytics, Generative AI, and strategy - blending technology with sustainable business impact. We deliver value across three core offerings: Marketing Effectiveness Customer Analytics Operational Excellence Powered by our in-house … the intersection of consulting, strategy, and technology , combining technical delivery with deep business understanding. You'll partner with leading brands to build scalable data platforms, leveraging cloud technologies and GenAI , while shaping the future of our team in the UK. Responsibilities Technical Leadership Design and implement scalable data architectures and pipelines Work across cloud platforms (Azure, GCP, AWS) and orchestration … tools (e.g. dbt, Airflow) Build AI-ready data infrastructure for analytics and data science use cases Lead technical delivery across multiple client engagements Client Engagement & Strategy Act as a technical advisor and thought partner to senior stakeholders Present insights in business terms and co-create long-term data strategies Lead technical pre-sales and proposal development for new More ❯

the Principal Data Scientist role at Sky 1 day ago Be among the first 25 applicants Join to apply for the Principal Data Scientist role at Sky Get AI-powered advice on this job and more exclusive features. Job Description We believe in better. And we make it happen. Job Description We believe in better. And we make … big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's … Kingdom 1 week ago London, England, United Kingdom 3 weeks ago Data Scientist, Internship, United Kingdom - BCG X London, England, United Kingdom 1 week ago Data Scientist - Scientific AI, Life Sciences London, England, United Kingdom 2 weeks ago Data Scientist – Data Science Analytics and Enablement (DSAE) London, England, United Kingdom 4 days ago London, England, United Kingdom More ❯

big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's 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 ❯

Role Have you got demonstrable proficiency in Python and SQL? Are you experienced in managing the end-to-end Data Science lifecycle, ensuring robust, scalable, and business-aligned AI solutions? If so, we may have the perfect opportunity for you here at EDF as a Senior Data Scientist within our AI team of the AI & Automation Centre of Excellence! The Opportunity This position is part of the AI team within the AI & Automation Centre of Excellence, a key group focused on improving operational efficiencies and creating new customer propositions through the use of AI. The AI & Automation Centre of Excellence is a team of experts essential to … delivering cutting-edge AI and automation solutions that support various operations across the organization. The team collaborates with multiple departments to ensure AI initiatives are closely aligned with business goals and operational requirements. In this role, you will report to the AI Manager within the AI & Automation Centre of Excellence and will 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 dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML … solutions and ensuring implementation of AI initiatives across the Fitch Ratings organization. You will manage a team of 2-3 engineers, blending hands-on technical work with leadership responsibilities, while collaborating with product squads, business partners, and cross-functional teams to integrate advanced AI solutions into flagship Fitch Ratings products and workflows. The AI Chapter's team objectives: Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient and secure development and deployment of AI Establish and maintain guidelines and processes for AI/ML governance More ❯

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 Language 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 modeling. 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 insurance. Recommend statistical/machine learning tools and technologies to prototype new concepts. Retrieve and collect open and closed data sources, including processing, cleansing … 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 modeling. Knowledge of cloud-based data platforms and infrastructure. Familiarity with insurance data, risk More ❯

Data Science team focused on implementing modern data science and MLOps standards while upholding ethical and responsible practices. In this leadership role, you’ll be responsible for delivering AI and ML solutions that drive measurable business outcomes, while mentoring others and helping shape the future of data science at Bupa. How you’ll help us make health happen … a team of data scientists, fostering a collaborative, high-performing environment focused on innovation, quality, and continuous improvement. Own the delivery of end-to-end AI and GenAI projects—from business case development and stakeholder engagement to model deployment and monitoring. Drive the adoption of cloud-native tools and scalable ML infrastructure, ensuring solutions are robust, secure, and …/ML, including hands-on experience with SQL, Python, and cloud platforms such as Azure, GCP, or Snowflake. Demonstrated experience delivering end-to-end AI and GenAI projects, including model design, development, deployment, and monitoring in production environments. Strong understanding of cloud-native ML infrastructure, MLOps practices, and scalable architecture design. Excellent communication and stakeholder management skills 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 ❯

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 … about a career in technology and data at Fitch? Visit: https://careers.fitch.group/content/Technology-and-Data/About The Team The Fitch Group's AI Implementation Chapter is seeking a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML … solutions and ensuring implementation of AI initiatives across the Fitch Ratings organization. You will manage a team of 2-3 engineers, blending hands-on technical work with leadership responsibilities, while collaborating with product squads, business partners, and cross-functional teams to integrate advanced AI solutions into flagship Fitch Ratings products and workflows. The AI More ❯

Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on experience with cloud platforms such as AWS or Azure. We're not able to offer visa sponsorship or … understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And if we combine the expertise of our people with the latest AI technology, we can really help brands discover some amazing insights. And because we know people, we like to make sure our own people are being looked after as well. … Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on experience with cloud platforms such as AWS or Azure. We're not able to offer visa sponsorship or More ❯