901 to 925 of 22,837 AI Jobs in England

millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems … intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the-art AI systems and mentoring a high-performing team of scientists, this role is for you What You'll Do Technical Leadership & Execution: Drive the technical roadmap ...

millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems … intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the-art AI systems and mentoring a high-performing team of scientists, this role is for youWhat You'll DoTechnical Leadership & Execution: Drive the technical roadmap for Search ...

This is a senior, forward‐deployed analytics leadership role — responsible for taking analytics and AI capabilities out of development and into the commercial reality of Chubb's EMEA insurance business. This role is not a central analytics function. It is a deployment‐first role, embedded at the intersection of data … cultural shift that turns analytical output into operational capability. It is a delivery and adoption role — combining the technical credibility to work alongside AI engineers, data scientists and architects, the business fluency to engage senior underwriting ,pricing and Ops leaders, and the deployment mindset to get things done in complex ...

control health (backup/restore posture, DR testing, patch/vulnerability closure, config drift); ensure metrics lineage and audit readiness. Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and design analysis and technical documentation, validating outputs and handling data according to sensitivity and security requirements. … People leadership - oversee workflow, prioritization, and delivery for junior data engineers and visualization researchers; mentor and support upskilling and career development. Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., validation automation and access control review support), ensuring traceability/auditability and alignment to resiliency and security ...

improvement of engineering tools, cloud-based technologies, and development processes, playing an integral role in shaping the team's technical direction.How will I use AI at Roku At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents — setting architecture, reviewing … output, and ensuring everything meets Roku's quality bar. If you've already shipped features where an AI agent wrote the initial code and you steered it to production, or you've built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills ...

alongside them to design and implement complex or high‐impact elements. You will also contribute to the development of central products, services and components. AI is changing how we build software, and you will contribute to the evolution of our engineering practices. You will bring curiosity, sound judgement … implementation support Identify opportunities to simplify, standardise or consolidate solutions into reusable components and services Help drive the evolution of SDLC practices for AI-enabled development, to reduce friction while maintaining quality and sustainable delivery Champion proportionate engineering practices, including automated testing, CI/CD, coding standards, observability, technical debt ...

Operations, Finance, and other business leaders to prioritize initiatives. Engineering Organization Management: Lead, mentor, and grow a diverse engineering organization of data, digital, and AI skills. Oversee multiple teams including Enterprise Architecture, Full stack development, platform, infrastructure, DevOps, and data engineering. Technical Excellence: Ensure the delivery of high-quality, scalable …/lean development processes, engineering metrics (DORA, SPACE, etc.), and delivery predictability while maintaining velocity. Innovation & Technology: Stay ahead of industry trends (cloud-native, AI/ML, microservices, etc.) and evaluate new technologies that can drive business value. Risk & Compliance: Oversee technical risk management, data privacy, security standards, and regulatory ...

secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data … into secure containerised environments. You will work across the full lifecycle from development through to production, shaping architectures that support operational users, analytics, and AI enabled capabilities.This role is hands on and engineering. You will write production grade code, contribute to secure platform patterns, and ensure that your data services ...

technology depth and business impact, delivering outcomes that reshape how software companies build, monetize, and scale.The Sr. CSM must demonstrate differentiated, hands-on Agentic AI and GenAI expertise: 1/Proven experience architecting and building agentic AI systems - including multi-agent orchestration, RAG pipelines, and prompt engineering - not theoretical familiarity … demonstrated delivery of working prototypes and customer-facing demos. 2/Proficiency using AI-powered coding assistants to accelerate solution development, write production-grade code, and build technical artifacts that earn customer trust. 3/Software Product Management mindset with direct experience delivering or consulting on SaaS products - understanding multi ...

passionate about building secure, reliable cloud platforms that help engineering teams deliver business-critical applications?* *Would you like to use automation, cloud technologies and AI-assisted engineering tools to improve platform operations at scale?* **About our Team**RX Global aims to create unforgettable experiences for attendees and exhibitors through organizing … security remediation activities.* Maintain monitoring, logging and alerting solutions and participate in incident investigation and root cause analysis.* Automate repetitive operational activities and use AI-assisted engineering tools to support troubleshooting, documentation and operational efficiency.* Contribute to continuous improvements across cloud platforms, tooling and engineering practices. ## Requirements* Good hands ...

targets! WHAT YOU WILL DO You will join Technology Architecture in Ramboll Tech. You will be working closely with the Enterprise architects, Product architects, AI & Digital products chapter. You will partner with Data product and platform owners and Innovation and Digital Transformation Directors—who drive digitalisation, innovation, and scaling … organisation. Support data platform teams: Work with data platform teams to design and implement operating models that support efficient data processing, integrations, reporting and AI model deployment and execution. Data modelling: Design and develop data models that support business processes, analytics and reporting requirements. Ensure that data models are optimised ...

maintaining innovative internal applications, integrations and automations that empower our teams to work smarter, streamline processes, and unlock the full potential of data and AI across the business. Why Menzies? At Menzies, our culture is our cornerstone . We blend technical excellence with genuine care for our people and clients. … opportunities for improvement and deliver practical technology solutions that have a real impact on the way we work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater ...

team environment. Document models, methodologies, and processes for transparency and knowledge sharing. Required Qualifications, Capabilities and Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine learning … operations research, or revenue/yield management. Proficiency in Python for data analysis, modelling, and software development. Deep understanding of statistics, AI, and optimization techniques. Demonstrated ability to solve complex quantitative problems and deliver business impact. Excellent communication and presentation skills, especially with senior stakeholders. Ability to work collaboratively ...

scalable, testable, and ready for localisation across languages and regions. You will also contribute as a hands-on engineer, building software, automation, integrations, and AI-driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision-making. The ideal candidate combines strong software development skills, experience … designs, validate content, detect issues, and improve workflows.- Choose the right technical approach for each problem, which may include traditional automation, scripts, plugins, APIs, AI/LLMs, or existing internal tools.- Develop solutions that help identify localisation and quality issues earlier in the product lifecycle and provide faster feedback ...

expertise in 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 the Architecture and Software Development lifecycle Excellent communication ...

enable holistic well-being for you and your family. What you'll doYou will apply advanced analytics techniques including predictive modelling, geospatial analysis, generative AI, optimization, and simulation to large-scale datasets at some of the world's most influential institutions. You will partner with client teams across project settings … structured and unstructured dataStrong applied data science skills with experience in supervised and unsupervised learning, time series forecasting, clustering, optimization, geospatial modeling, and generative AI; familiarity with libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, Hugging Face Transformers, and pandasSolid engineering capabilities in Python and JavaScript, with hands-on experience ...

expertise in 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 the Architecture and Software Development lifecycle Excellent communication ...

role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity and demand signals … deliver them end-to-end, from first principles through to being deployment-ready and beyond. WHAT YOU'LL BE DOING End-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

digiLab is a formative AI company with world-leading specialists in uncertainty quantification, applied where the stakes are highest and the margin for error is smallest. Our customers are among the largest and most advanced engineering and science-led organisations in the world, and they're using our technology … critical questions our technology is helping to answer. At the heart of our work is the Uncertainty Engine, digiLab's trustworthy and explainable AI platform, enabling our customers to accelerate innovation, reduce risk, and deliver real value through more confident decisions. We are looking for ambitious team members to help ...

related field. Business ArchitectureAbility to translate business requirements into scalable, secure cloud architectures. Experience in cost optimisation and familiarity with cloud best practices. Data & AI ArchitectureStrong understanding of data platforms and analytics solutions. Experience designing AI/ML-driven solutions and data lifecycle management. Application ArchitectureProficiency in designing application workloads … world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry ...

their data with our analytics tool, implement future-proof solutions to manage taxes in a constantly changing digital landscape and partner with them on AI journeys to ensure that they are set-up to better manage risk, drive efficiencies and reduce cash leakage.The opportunityThis is an exciting opportunity … Desired Skills Understanding of the VAT reporting lifecycle and the data used throughoutGood understanding of technologies such as: SQL/CDS views, cloud computing, AI/MLExperience working with data originating in Microsoft Dynamics 365, SAP and/or OraclePrevious experience with consulting firms What Working At EY OffersWe offer ...

deployment, operational handover, and monitoring. May mentor or guide junior developers and data engineers. Enable real-time and batch data processing architectures that support AI-driven analytics, recommendations, forecasting, and intelligent automation. Optimise cloud data platforms for AI scalability, including data lakehouse architectures, semantic layers, and high-performance data retrieval ...

Participate in architecture, solution-design and technical decision-making discussions. Mentor junior developers and support the development of a high-performance engineering culture. Use AI-assisted engineering tools responsibly to improve productivity, functionality and application performance. Ensure confidential information and proprietary code are protected while using AI-based tools. Stay ...

more of the firm's portfolios. Job Responsibilities: Design, implement, and optimize distributed computing solutions in HPC, K8s and Cloud environments. Leverage Generative AI and AI tooling to enhance the monitoring, management, and optimization of large compute environments. Collaborate with cross-functional teams to improve system performance and efficiency. Develop ...

Software Engineering, or related field.Business ArchitectureAbility to translate business requirements into scalable, secure cloud architectures.Experience in cost optimisation and familiarity with cloud best practices.Data & AI ArchitectureStrong understanding of data platforms and analytics solutions.Experience designing AI/ML-driven solutions and data lifecycle management.Application ArchitectureProficiency in designing application workloads using modern … world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry ...