3,301 to 3,325 of 20,745 AI Jobs in England

About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots … Quality which means we don’t just build for the future, we ensure it actually works. We combine this engineering discipline with cutting-edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. Here’s why you’ll love being part of our team: Exciting ...

enterprise-scale digital solutions. They're particularly interested in candidates with strong engineering fundamentals who also have experience working with modern data platforms and AI-enabled software engineering practices. What you'll be doing as a Technical Lead Leading the technical delivery of complex, enterprise-scale cloud solutions Acting … translate business requirements into scalable, high-quality technical solutions Driving continuous improvement across the full software delivery lifecycle Championing modern engineering practices, including AI-assisted software development, automation and productivity improvements Supporting the delivery of data-intensive platforms and enterprise technology solutions What they're looking for: Proven experience ...

needed to build innovative solutions for their most complex challenges. Are you passionate about helping partners transform their migration practices using GenAI and agentic AI? The AWS Partner Core Tech team is looking for a Senior Partner Solutions Architect to accelerate partner-led cloud migrations at scale and support … core AWS partner program - the Migration Acceleration Program (MAP). In this role, you will work at the intersection of partner enablement, emerging AI technologies, and enterprise migration delivery. As a trusted technical consultant to partners and empowering them to build AI-native migration practices to unlock measurable customer outcomes. ...

Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning models on complex, multi … real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such ...

with scientific and machine learning libraries. Excellent communication skills, with the ability to explain technical concepts clearly to geoscientists, data scientists, and product stakeholders. AI/ML Implementation Design, implement, and test AI/ML methods that automate or enhance subsurface interpretation, prediction, and modelling. Develop methods that may preserve … Innovation Work closely with geoscientists, data scientists, and product teams to turn research ideas into practical prototype workflows. Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows. Contribute to technical presentations, publications, patent disclosures ...

will support the delivery of advanced analytics solutions that drive measurable business outcomes for global clients while contributing to the development of scalable analytics, AI and data science capabilities across the dentsu network. This is a hands-on role that combines technical expertise, analytical problem-solving and stakeholder collaboration. … development of reusable analytics frameworks, tools and methodologies that can be applied across multiple client engagements. Support the testing and adoption of AI-enabled analytics capabilities, including predictive modelling, automation and emerging GenAI use cases. Help identify repeatable client challenges and opportunities that could benefit from standardised analytical approaches. Partner ...

performance, reliability and maintainability. Helping shape data strategy, engineering standards and best practices around governance and data democratisation. Supporting the adoption of advanced analytics, AI and machine learning capabilities. Developing Infrastructure as Code alongside Cloud Engineering. Ensuring solutions meet data privacy, security and compliance requirements. Working collaboratively within an Agile … ways of working. Nice to Have Experience with Docker, Java/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would be advantageous. This is a great opportunity to join a collaborative team and have ...

designed, developed and operated and are comfortable working with the different technical experts being part of a multidisciplinary team. Lead the strategic adoption of AI-enabled product management practices, using advanced AI capabilities to deliver superior outcomes faster, unlock new opportunities for innovation, and create measurable business value. … role model for AI-enabled delivery, demonstrating how AI can be leveraged responsibly to enhance creativity, insight generation, problem-solving, and operational efficiency across the product lifecycle. Be an advocate for user‐centred methodology for digital products while balancing demands to meet business objectives. Understand agile and lean practice. ...

stewardship, supplier management, risk governance and executive engagement. It leads complex decisions across SAP S4 RISE, on premise ECCs & BWs, S4 Public, SAP Business AI Platform (BTP) and Joule, integration, data and analytics platforms, engineering toolchains, test automation, observability, application lifecycle management and the wider SAP technology ecosystem. This … estate that reliably supports bp’s global business operations and transformation agenda. Successful delivery of SAP platform strategy and transformation outcomes, enabling cloud adoption, AI innovation, technology simplification and reduced technical debt. High‐performing SAP Platform services that consistently meet agreed availability, recoverability, security, compliance and customer experience objectives. Optimised ...

performance, reliability and maintainability. Helping shape data strategy, engineering standards and best practices around governance and data democratisation. Supporting the adoption of advanced analytics, AI and machine learning capabilities. Developing Infrastructure as Code alongside Cloud Engineering. Ensuring solutions meet data privacy, security and compliance requirements. Working collaboratively within an Agile … ways of working. Nice to Have Experience with Docker, Java/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would be advantageous. This is a great opportunity to join a collaborative team and have ...

products. You'll be delivering index data to the global financial community across multiple channels including APIs, cloud data platforms, file-based delivery, and AI-native protocols. Reliability, security, and data quality are non-negotiable as we build out scalable, cloud-native infrastructure. The ideal candidate is a self-sufficient … clarity, thorough code review, and hands-on delivery. You combine strong expertise in system design, data modelling, and debugging with genuine passion for how AI tooling is redefining software engineering. This is an individual contributor role where you will lead through the quality of your thinking and your engineering standards. ...

Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want … forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will haveDrive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with ...

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people … first. We’re a team of creators. We write code, shape delivery, build go‐to‐market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment ...

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people … first. We’re a team of creators. We write code, shape delivery, build go‐to‐market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment ...

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people … first. We’re a team of creators. We write code, shape delivery, build go‐to‐market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment ...

/CD & Delivery Platform Engineering Build, maintain, and continuously improve automated CI/CD pipelines for: Microservices, APIs, and platform services Infrastructure-as-Code AI/ML and Agentic AI workloads Implement and evolve reusable pipeline templates and blueprints that are secure by default, self-service, and easy for product … security, speed, and developer experience Clear written and verbal communication skills, with the ability to explain technical topics to engineers and stakeholders Comfortable using AI-assisted development tools to accelerate engineering and automation work Nice to Have Experience supporting AI/ML or Agentic AI pipelines Familiarity with GitOps tooling ...

ticket queue. You'll help decide what gets built, how it gets built, and why, then own that decision end-to-end. At Fastbreak AI, engineering isn't downstream of product; it's at the table shaping it. This is a role for someone who gets energized by complexity, cares … high-performance web applications using React, Next.js, and Express Own architectural decisions and be able to articulate the reasoning and tradeoffs behind them Integrate AI and LLM-powered features into production applications thoughtfully and with an eye toward reliability and user impact Collaborate with product managers and stakeholders to shape ...

techniques and tooling. Be part of a growing and diverse team tasked with creating the next generation of statistical models, machine learning algorithms and AI based products and services. We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration … open source data,transactional insights & fraud indicators from partnerships Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc. Utilise the latest cloud based technologies and analytical tooling to support test-and-learn ...

cultivating an inclusive team culture Collaborate with backend, platform, and SRE partners to deliver end-to-end solutions Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required Qualifications/Skills Hands-on experience building production UIs with React ...

architecture position requiring much more than data modelling alone. You will work across enterprise architecture, data governance, data platforms, information management, metadata and emerging AI capabilities , helping ensure that data is treated as a strategic organisational asset. You will work closely with senior business and technical stakeholders, Enterprise Architects, Data … data architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops ...

Front Office processes and functions using technology solutions Collaborate with global and local counterparts to solve business problems Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Participate in business transformation projects across analytics, marking, and publishing Propose and explore ...

requirements (GDPR, BCBS 239) Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation Evaluate Snowflake‐native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate data product delivery Govern the application database landscape across – reviewing schema designs, indexing strategies, and data lifecycle … meets BCBS 239 Risk Data Aggregation and Reporting requirements Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across domains AI, Analytics & Data Products Define the architecture for data products – curated, well‐documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores ...

About AnthropicAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build … beneficial AI systems. About the roleAnthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude ...

action? Follow us on Instagram @zopalife The Team The Analytics Engineering team is a key part of the broader Data, Analytics & AI organisation within Technology. Our mission is to transform data into high-quality, trusted, and scalable data products that empower analytics, product, finance, risk, and commercial teams to makesmarter … approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. Our approach to AI in interviews At Zopa, AI isn't something we're testing out - it's part of how we work every day. As a proud partner ...

Select how often (in days) to receive an alert: Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data … systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris. About our Gen AI team Our Gen AI team brings ...