1,326 to 1,350 of 2,898 Generative AI Jobs in the UK

About the company the company is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. the company replaces this broken infrastructure with … etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. Deep understanding of the GenAI landscape and agentic frameworks. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love ...

About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. … With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including ...

Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities* Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within ...

Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within ...

Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within ...

tailored security services across various sectors. The organisation is seeking an ML Research Engineer to join its Innovation & Research team and help develop AI-powered security operations capabilities. This role focuses on building and evaluating AI and agentic systems, improving machine learning models and workflows, analysing … performance, and researching security challenges such as adversarial attacks and offers the opportunity to work on cutting-edge AI technologies, influence product development, and collaborate with researchers, engineers, and security specialists. Responsibilities Designing and building evaluation frameworks for AI and agentic systems Measuring agent performance using ...

data representations, including 2D and 3D geometry; Experience with version control, reproducibility, and deploying machine learning models; Experience using modern AI/GenAI tools in development or experimentation workflows; Excellent written documentation skills; Nice to have: an advanced degree (MSc/PhD) in Machine Learning, Computer Science … data pipelines using Ray or similar frameworks, experience with cloud services and architectures such as AWS or Azure, experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation), knowledge of the design, manufacturing, AEC, or media & entertainment industries, experience with Autodesk or similar products ...

seeking a Data Scientist with practical experience in analytics and machine learning. You will work at the intersection of data science and AI, developing solutions that help our clients across infrastructure, utilities, and defence sectors derive actionable intelligence from complex data. You will contribute to projects involving both … traditional analytics and modern AI technologies, including Generative AI applications. Core Responsibilities Develop end-to-end data science solutions, from data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning ...

week on a client site. We’re hands‐on with emerging technologies – exploring what works, what scales, and what’s next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval‐augmented generation (RAG) prototypes … prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with ...

Opportunity Brunswick is accelerating its use of AI to strengthen the advice we give clients and how we operate. We are looking for a Data Architect to join our AI Lab and shape the technical and data foundations that enable us to build and scale proprietary … AI products securely and effectively. This is a hands‐on, influential role spanning architecture and practical delivery. You will take a portfolio‐wide view of how data, applications, models, APIs and shared components fit together, creating reusable patterns and capabilities that help engineers move faster while maintaining high ...

about its values Values | PA ConsultingWe're hands-on with emerging technologies – exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes … prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Additional InformationAssessment process Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with ...

looking for a Microsoft Copilot Solutions Engineer to support a leading global Financial Services firm as it identifies, designs and delivers AI-powered solutions across the business. Reporting to the Global Head of AI, you'll act as an internal consultant, working with business and technology … stakeholders to turn AI opportunities into practical, secure and scalable solutions. This is a hands-on delivery role, rather than an adoption or strategy position. You'll be expected to move from discovery and requirements through to prototyping, solution design and implementation. What you'll be doing : Work ...

Python/KDB/C++, and who can leverage their knowledge ofAIto drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role. Job Responsibilities Lead technical initiativesacross global analytics teams, providing guidance … velocity environment. Design, build, and optimize real-time data processing pipelines and applications ensuring reliability and performance for mission-critical financial systems. Leverage AI technologies and techniquesto enhance data engineering workflows, automate SDLC processes, and deliver advanced analytics capabilities for trading and research. Collaborate with research and trading ...

About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven … Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role Encord is a fast-growing company building the data infrastructure layer ...

messaging and positioning for products within the iManage portfolio, with a focus on clearly articulating the value, differentiation, and practical impact of our AI capabilities. You will partner closely with Product and Engineering to translate complex functionality into market-ready narratives, and work across Marketing, Sales, Sales Enablement … launch readiness, enablement, and consistent communication across internal and external audiences. I'm Responsible For...Messaging & PositioningDeveloping differentiated messaging and positioning for iManage's AI-driven platform capabilities, including search, answers retrieval, and knowledge discovery. Articulating clear value propositions that resonate with customers and partners, leveraging market and competitive ...

modernization projects. Expert knowledge of cloud architecture, networking, and security in Azure and AWS.Experience with microservices and event-driven design. Familiarity with generative AI and agentic AI frameworkProficiency in infrastructure-as-code and configuration-as-code tools such as Terraform, CloudFormation, and Ansible. Skilled ...

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks … powers production AI with hundreds of state‐of‐the‐art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role ...

Protect Group is seeking an AI Architect to lead end-to-end AI platform design, governance, and production readiness. This hands-on role collaborates with the Data Science team to deliver reliable, secure, and cost-conscious AI solutions across products and processes. You will … reference architectures for ML, generative AI, RAG, and agentic systems, select reusable platforms, and ensure quality and operational readiness while aligning with business goals. Strong business acumen is essential. #J-18808-Ljbffr ...

Madrid. Now is a brilliant time to join us and help shape the future of travel. Introducing the Trainline Machine Learning and AI Team Machine learning sits at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our models power … most important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle ...

Europe, now is the perfect time to join us on this high-speed journey. Introducing the Trainline Machine Learning and AI Team Machine learning sits at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our models power some … most important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle ...

AI/ML Engineer Associates design and implement production-grade AI systems across a range of client environments.Associates operate as trusted technical specialists embedded within delivery teams. Typical Work LLM integrations and prompt orchestration Retrieval-Augmented Generation (RAG) pipelines Embedding strategies and vector search Model evaluation … performance tuning Secure deployment of AI systems Skills & Experience Hands-on experience with LLMs and generative AI RAG architectures and vector databases PyTorch, TensorFlow, or similar frameworks Understanding of AI governance and risk Engagement Model Fully remote, UK-based. Engagements typically ...

consulting with hands-on expertise, guiding organizations through AI adoption, shaping value-focused roadmaps and overseeing the delivery of advanced models and GenAI capabilities. This role also involves collaborating on solution design, supporting pre-sales initiatives and ensuring a human-centric approach to AI that aligns … support high-value opportunities, including pre-sales activities such as proposals and technical demos Design, develop and deploy predictive models, forecasting systems and GenAI-based solutions using frameworks like LLMs and RAG architectures Act as a liaison between business stakeholders and engineering teams to ensure solution alignment Apply advanced analytical ...

Engineer to design and deliver generative AI applications across the EMEA region. The role is hands‐on, spanning GenAI, LLMs, cloud and enterprise tech, building production‐grade AI solutions including RAG and agentic AI. You’ll collaborate with architecture, cloud engineering, and business teams. … Responsibilities include designing and developing production‐ready GenAI applications, building RAG pipelines, fine‐tuning models, and integrating LLMs with enterprise #J-18808-Ljbffr ...

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed … Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between ...

Polo, acting on behalf of Marco Group, is seeking an AI Security Architect to own the security posture of AI tooling across the group from Cheltenham. You will define risk assessment, governance, and secure development practices for AI-enabled platforms and vendor integrations, reporting … Group Head of Information Security. Key focus areas include configuring Claude and Copilot security, data governance, and managing AI-related risk across internal tools and third-party products, in line #J-18808-Ljbffr ...