476 to 500 of 878 Generative AI Jobs in the UK

Solutions partners Collaborate with Data Science and Engineering leaders to enhance our technical foundations, ensuring scalable and efficient model development and deployment. Own the business impact of the AI/ML models for automated bidding, making data-driven decisions on development priorities and feature enhancements. Continuously monitor product performance against business KPIs (e.g., ROAS, CPC, partner adoption) across … the core Expedia Group marketplace Provide deep market insights to guide the development of features for both our direct lodging partners and PLS partners. Ensure that backend AI/ML capabilities are seamlessly integrated into advertiser-facing tools and external partner APIs to create a cohesive experience Resolve cross-functional escalations and align on product strategy with the … Preferred Qualifications: Proficient communication and storytelling skills, with the ability to articulate the value of technical initiatives to both technical and non-technical audiences. Strong domain expertise in AI/ML fundamentals and their practical application to business problems. Experience with B2B products or API-based solutions, particularly for syndication or external partnerships. Knowledge of Generative More ❯

Are you an AI engineer with strong software engineering fundamentals? Have you deployed … AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with global clients across finance, energy, media, and tech. From hedge funds …/week in London office) Tech stack : Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS If you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact tools, this is the opportunity to step into it. Budget Salary range: £100k–£130k base Benefits: Standard package Sponsorship: Yes Hybrid: 3 days/ More ❯

Are you an AI engineer with strong software engineering fundamentals? Have you deployed … AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with global clients across finance, energy, media, and tech. From hedge funds …/week in London office) Tech stack : Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS If you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact tools, this is the opportunity to step into it. Budget Salary range: £100k–£130k base Benefits: Standard package Sponsorship: Yes Hybrid: 3 days/ More ❯

This innovative legal tech startup is at the forefront of transforming the legal industry through cutting-edge AI. You’ll join a tight-knit team of 10, building generative AI tools that automate and revolutionize legal workflows. Your work will directly shape the future of legal technology, helping to unlock the massive, untapped potential … of AI in a traditionally tech-resistant sector. THE ROLE As a Fullstack Software Developer , you’ll take ownership of the development and maintenance of their flagship GenAI tooling. This is a unique opportunity to lead technical decisions, collaborate closely with stakeholders, and build solutions that redefine how legal professionals work. Specifically, you can expect to be involved … in the following: Technical tasks: Developing and maintaining AI-driven document automation and translation software using multiple technologies such as JavaScript, Python, SQL, and Azure to name a few. Other key responsibilities: Spinning up proofs of concept, integrating new features, and working alongside multiple teams. Stakeholder engagement is crucial—you’ll be at the heart of both technical More ❯

This innovative legal tech startup is at the forefront of transforming the legal industry through cutting-edge AI. You’ll join a tight-knit team of 10, building generative AI tools that automate and revolutionize legal workflows. Your work will directly shape the future of legal technology, helping to unlock the massive, untapped potential … of AI in a traditionally tech-resistant sector. THE ROLE As a Fullstack Software Developer , you’ll take ownership of the development and maintenance of their flagship GenAI tooling. This is a unique opportunity to lead technical decisions, collaborate closely with stakeholders, and build solutions that redefine how legal professionals work. Specifically, you can expect to be involved … in the following: Technical tasks: Developing and maintaining AI-driven document automation and translation software using multiple technologies such as JavaScript, Python, SQL, and Azure to name a few. Other key responsibilities: Spinning up proofs of concept, integrating new features, and working alongside multiple teams. Stakeholder engagement is crucial—you’ll be at the heart of both technical More ❯

AI/Machine Learning Engineer – Agentic AI & LLM Systems We’re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , you’ll design the frameworks, tools, and data loops that … allow intelligent agents to think, plan, and improve themselves — transforming raw model power into adaptive, high-performing AI systems. What You’ll Do: Build Agentic Systems – Develop and optimise LLM-based agents that can reason, plan, and execute multi-step tasks autonomously. Enhance LLM Reasoning – Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and … Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll Bring: 4+ years’ experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on More ❯

AI/Machine Learning Engineer – Agentic AI & LLM Systems We’re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , you’ll design the frameworks, tools, and data loops that … allow intelligent agents to think, plan, and improve themselves — transforming raw model power into adaptive, high-performing AI systems. What You’ll Do: Build Agentic Systems – Develop and optimise LLM-based agents that can reason, plan, and execute multi-step tasks autonomously. Enhance LLM Reasoning – Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and … Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll Bring: 4+ years’ experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on More ❯

Senior Software Engineer (Python) to help shape the next generation of their data-driven tools and products. 💡 Why this role? Work at the intersection of data, automation, and AI , delivering tools that drive measurable impact for global brands. Join a collaborative, innovative engineering culture where learning, experimentation, and technical excellence are at the core. Hybrid flexibility … SOLID, TDD). Familiarity with databases (SQL, NoSQL, or graph) and API integrations. Excellent communicator who thrives in a collaborative, fast-paced environment. ✨ Nice-to-haves: Experience with Generative AI/LLMs in applied engineering contexts. Exposure to infrastructure-as-code (Terraform, CloudFormation, or CDK). Familiarity with Vue.js or other front-end frameworks for collaboration More ❯

Senior Software Engineer (Python) to help shape the next generation of their data-driven tools and products. 💡 Why this role? Work at the intersection of data, automation, and AI , delivering tools that drive measurable impact for global brands. Join a collaborative, innovative engineering culture where learning, experimentation, and technical excellence are at the core. Hybrid flexibility … SOLID, TDD). Familiarity with databases (SQL, NoSQL, or graph) and API integrations. Excellent communicator who thrives in a collaborative, fast-paced environment. ✨ Nice-to-haves: Experience with Generative AI/LLMs in applied engineering contexts. Exposure to infrastructure-as-code (Terraform, CloudFormation, or CDK). Familiarity with Vue.js or other front-end frameworks for collaboration More ❯

Senior Data Engineer (GenAI) - Leading Tech Company | London (Hybrid) Hybrid: 1 day in the office/4 days WFH Permanent role only Represented by Robert Half Limited Please note: No visa sponsorship on offer, No B2B,B2C, Fully remote workers or contractors on offer. The Opportunity We're looking for a Senior Data Engineer with hands-on GenAI experience to … business that's building data-driven solutions with real-world impact. This is a highly visible, senior-level role where you'll take ownership of data pipelines, architecture, and GenAI operational frameworks - helping shape the next generation of AI-driven products and analytics. If you enjoy combining engineering rigor with AI innovation, this role gives you … the platform, freedom, and backing to make it happen. Key Responsibilities Design, build, and maintain scalable data pipelines across modern cloud platforms Drive the implementation of GenAI frameworks, including model deployment, monitoring, and lifecycle management ('GenAI Ops') Develop robust ETL/ELT workflows and optimise performance within Snowflake Collaborate with cross-functional teams to integrate AI solutions into More ❯

support when required. Desirable: Financial services or banking experience. WPF or API automation experience. Knowledge of Agile/DevOps practices, Jira, and CI/CD pipelines. Experience with generative AI in RPA solutions. Personal Attributes: Proactive, responsible, and willing to take ownership of tasks. Flexible to occasionally work early mornings, late nights, or weekends during critical More ❯

support when required. Desirable: Financial services or banking experience. WPF or API automation experience. Knowledge of Agile/DevOps practices, Jira, and CI/CD pipelines. Experience with generative AI in RPA solutions. Personal Attributes: Proactive, responsible, and willing to take ownership of tasks. Flexible to occasionally work early mornings, late nights, or weekends during critical More ❯

projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder engagement and communication skills. Degree (2:1 or above) in a numerical discipline. Comfortable working independently and collaboratively in More ❯

beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are More ❯

develop, and maintain client dashboards and reporting tools. Partner with internal stakeholders to deliver data-driven insights and promote analytics capabilities. Support complex matters involving data analysis, reporting, and GenAI integration. Translate complex data into clear, actionable insights for business and client reporting. Produce and maintain Legal Transformation dashboards for stakeholders. Ensure data accuracy, format conversions, and effective presentation across More ❯

develop, and maintain client dashboards and reporting tools. Partner with internal stakeholders to deliver data-driven insights and promote analytics capabilities. Support complex matters involving data analysis, reporting, and GenAI integration. Translate complex data into clear, actionable insights for business and client reporting. Produce and maintain Legal Transformation dashboards for stakeholders. Ensure data accuracy, format conversions, and effective presentation across More ❯

Here's what you'll be doing: As a Principal Data Scientist you will be part of a team, that is bringing AI and Data Science into the forefront of SB. We are looking to unify our technical vision and are looking for an experienced, technical but pragmatic Staff Data Scientist to enable our wider team to deliver … of a suite of models ranging use cases from LLM's to propensity, classification and regression models contribute to End to end development and deployment of ML and AI models have the ability to define best practice for a team of highly talented and experienced Data Scientists have the opportunity to work with stakeholders in a high-pace … for someone who is: extraordinary with 7+ years of experience as a Data Scientist/ML Engineer, working on classic ML and Data Science problems as well as Generative AI someone who sees Data Science as a product, not just as a series of models is adept and passionate about all forms of technology, particularly versed More ❯

more, we surface meaningful insights and embed intelligence into every part of your delivery process. Think of us as Google Analytics for engineering delivery. As the era of Generative AI reshapes how software is designed, built, and delivered, we’re evolving Plandek to harness this transformation. AI is amplifying developer productivity, automating routine tasks … and changing how teams collaborate — and Plandek is uniquely positioned to make sense of this new data-rich environment. We’re embedding AI-driven insights directly into our platform, helping teams ask better questions, identify opportunities faster, and turn delivery data into smarter, more adaptive decision-making. Our culture At Plandek, we believe in the growth of our More ❯

more, we surface meaningful insights and embed intelligence into every part of your delivery process. Think of us as Google Analytics for engineering delivery. As the era of Generative AI reshapes how software is designed, built, and delivered, we’re evolving Plandek to harness this transformation. AI is amplifying developer productivity, automating routine tasks … and changing how teams collaborate — and Plandek is uniquely positioned to make sense of this new data-rich environment. We’re embedding AI-driven insights directly into our platform, helping teams ask better questions, identify opportunities faster, and turn delivery data into smarter, more adaptive decision-making. Our culture At Plandek, we believe in the growth of our More ❯

IT systems, enable real-time analytics, and ensure robust data governance and quality frameworks. The engineer will collaborate with cross-functional teams to support AI/ML, GenAI, and IIoT use cases in manufacturing and industrial environments. Key Responsibilities Architect and implement cloud-native data pipelines on AWS or Azure for ingesting, transforming, and storing industrial data. Integrate … and monitoring using MLOps frameworks. Establish and enforce data governance policies, stewardship models, and metadata management practices Monitor and improve data quality using rule-based profiling, anomaly detection, and GenAI-powered automation Support GenAI initiatives through data readiness, synthetic data generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure … profiling, cleansing, standardization, and anomaly detection frameworks. Security & Compliance:Knowledge of data privacy, access control, and secure data exchange protocols. Defining and creating MLOPs pipeline Good to Have Skills GenAI Exposure:Experience with LLMs, LangChain, HuggingFace, synthetic data generation, and prompt engineering. Digital Twin Integration:Familiarity with nVidia Omniverse, AWS TwinMaker, Azure Digital Twin or similar platforms and concepts Visualization More ❯

We’re looking for a talented AI Engineer to help build the next generation of intelligent, agent-based systems for clinical research. This is an exciting opportunity to shape an LLM-driven platform that uses generative AI to enhance data quality, automate risk detection, and support decision-making in global clinical trials. You’ll … design and develop LLM-powered agents that connect with complex datasets and analytical tools, working with cross-functional experts to bring AI innovation into a real-world, regulated environment. If you’re passionate about agentic AI, RAG/KAG architectures, and building safe, auditable systems that make a tangible impact on healthcare, this role offers the More ❯

of Work for data migrations, integrations, and custom application development Hands-on experience with integration platforms such as Zapier, Workato, Power Automate, or other iPaaS solutions Exposure to Generative AI tools such as LLMs, MCPs and AI-assisted editors such as Cursor Strong customer-facing and presentation skills with the ability to establish credibility More ❯

Product Manager | London We’re partnered with an emerging AI startup building next-generation automation products that simplify complex workflows and deliver measurable business impact. Backed by experienced founders and a world-class engineering team, they’re scaling fast and looking for a Product Manager to help define what’s next. The Role: You’ll own the roadmap … from early traction to scale — turning customer insights into elegant, data-driven product solutions. Working closely with engineering, AI, and GTM teams, you’ll design and ship AI-first features that shape the company’s next growth phase. Responsibilities Define and drive product vision, strategy, and delivery. Lead cross-functional teams through discovery, launch, and iteration. … Translate user problems into clear requirements and impactful solutions. Partner with leadership on commercial strategy, positioning, and execution. Requirements 3+ years’ Product Management experience in SaaS or AI-driven products. Proven experience taking products from 0→1 and driving them to market traction. Strong technical literacy across APIs, architecture, and data workflows. Excellent UX instincts and a bias More ❯

Product Manager | London We’re partnered with an emerging AI startup building next-generation automation products that simplify complex workflows and deliver measurable business impact. Backed by experienced founders and a world-class engineering team, they’re scaling fast and looking for a Product Manager to help define what’s next. The Role: You’ll own the roadmap … from early traction to scale — turning customer insights into elegant, data-driven product solutions. Working closely with engineering, AI, and GTM teams, you’ll design and ship AI-first features that shape the company’s next growth phase. Responsibilities Define and drive product vision, strategy, and delivery. Lead cross-functional teams through discovery, launch, and iteration. … Translate user problems into clear requirements and impactful solutions. Partner with leadership on commercial strategy, positioning, and execution. Requirements 3+ years’ Product Management experience in SaaS or AI-driven products. Proven experience taking products from 0→1 and driving them to market traction. Strong technical literacy across APIs, architecture, and data workflows. Excellent UX instincts and a bias More ❯

stack from scratch before? Designed large-scale data pipelines end-to-end? Happy owning infra + ML systems in a fast, early startup? We’re an early-stage generative AI company developing state-of-the-art diffusion transformer models for 3D generation. We're training from scratch, at scale. Backed by top-tier investors and fresh … Work directly with the founding team to set technical direction and engineering culture. You Strong experience in ML platform/ML infra/MLOps roles, ideally at an AI or high-performance compute company. Deep familiarity with GPU orchestration (K8s + NVIDIA stack, Slurm, Ray, etc.). Comfort standing up cloud infrastructure from scratch (AWS preferred). Experience … 3D. Join at the earliest stage — massive technical ownership, fast execution, zero legacy constraints. Competitive compensation + meaningful equity. Work closely with founders and researchers shipping cutting-edge generative models. A chance to define a new category in generative 3D. More ❯