401 to 425 of 21,389 AI Jobs in England

Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success … correspondence. Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications. ...

grows. Platform-First Thinking: Build scalable, generalisable platforms rather than bespoke one-offs. Value retiring technical debt and flags as much as shipping features. AI-Native Culture: Fluent in AI tools as force multipliers, guiding the team on effective adoption and designing AI into the product. Key ResponsibilitiesGrow the Team … influence strategic trade-offs. Operational Health: Ensure production-grade stability, humane on-call loads, testing standards, CI/CD, and strong observability. Responsible AI Adoption: Integrate AI tools into development workflows safely and effectively while maintaining complete ownership of shipped code. What We're Looking ForEngineering Leadership: Proven experience managing ...

through rigorous code reviews, automated testing, and adherence to continuous integration/deployment (CI/CD) principles. We encourage you to leverage the latest AI tools to augment your skills and accelerate your learning. We champion their responsible use, emphasizing that you must be able to fully understand … property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires. AI Transparency Statement: Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly ...

Finance teams to maximise business performance and ROI's. Champion experimentation, testing and continuous optimisation through data-driven insights. Explore emerging technologies, including AI and automation, to enhance marketing effectiveness and efficiency. Lead stakeholder discussions to gather reporting requirements and deliver impactful analytical solutions. Promote data literacy and best practice … Snowflake or BigQuery. Familiarity with CRM, CDP, marketing automation and paid media platforms. Experience developing predictive analytics, propensity models or automated insight solutions. Responsible Artificial Intelligence usage. What We Will Offer You Recognised and rewarded for a job well done, we have a range of flexible benefits ...

enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve ...

quality production code, applying engineering judgment to ensure it meets our standards regardless of whether it originates from you, a teammate, or an approved artificial intelligence tool Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability across applications and systems Lead design reviews and architecture … impact users and business outcomes Strong communication skills with the ability to adapt messages for technical and non‐technical audiences Responsible use of approved artificial intelligence tooling, with critical judgement to validate quality, correctness, security, and performance Preferred Qualifications, Capabilities, and Skills Experience working in financial services or another highly ...

quality production code, applying engineering judgment to ensure it meets our standards regardless of whether it originates from you, a teammate, or an approved artificial intelligence toolIdentify opportunities to eliminate or automate remediation of recurring issues to improve operational stability across applications and systemsLead design reviews and architecture discussions … engineering decisions impact users and business outcomesStrong communication skills with the ability to adapt messages for technical and non-technical audiencesResponsible use of approved artificial intelligence tooling, with critical judgement to validate quality, correctness, security, and performancePreferred Qualifications, Capabilities, and SkillsExperience working in financial services or another highly regulated technology ...

Office, United Kingdom: Boston Office: New York Office, United States: Miami Office: Charlotte Office: Full time: Posted Today: JR102371Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats every day. Darktrace was built on a genuinely differentiated idea: that Adaptive AI could detect … decision-making. The successful candidate will build and lead a high-performing team of Data Analysts, BI Analysts, and Analytics Engineers while leveraging modern AI-enabled analytics practices to improve efficiency, scalability, and business impact. This is a highly visible leadership role that will partner closely with executive stakeholders including ...

Head of Data - Hybrid Working | Central Birmingham Competitive Salary + Benefits Lead the Future of Data, Analytics & AI Are you a strategic data leader who still enjoys getting hands-on with technology? Do you want the opportunity to build, shape and lead a modern data function while driving innovation through … AI, analytics and cloud technologies? Our client is looking for an ambitious and forward-thinking Head of Data to join their our growing organisation and help transform the way we use data to drive business performance, client outcomes and future growth. This is an exciting opportunity to join a successful ...

well, together we achieve something extraordinary. Role Purpose We are building a new R&D capability focused on developing data-driven and AI-enabled products for legal services and the wider business of law. The Data Scientist & Engineer will work within R&D alongside the Data Programme to build … required for those products: trusted, reusable data assets, reliable pipelines, data quality, lakehouse models and analytical products. These capabilities will support R&D products, AI applications, client intelligence and firm-wide decision support. This is a hands-on hybrid data-engineering and applied-data-science role, with particular responsibility ...

enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams … Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time-series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure componentsAdditional Preferred Qualifications: Experience with ...

influencing both technical architecture and organizational direction. We're looking for a seasoned technologist who thrives on challenging assumptions, experimenting with emerging technologies (especially AI), and pushing boundaries—not an MLE or AI specialist, but a full-stack engineer who's curious, unafraid to question the status quo, and excited … explore how AI can transform analytical workflows, as well as delivering high quality user experiences in their applications. This is a critical role for an organization expanding rapidly and building for the future, offering mobility and upward potential for the right visionary. What We Offer: Strategic leadership with organizational impact ...

improving reliability, scalability, security, and operational excellenceMentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharingUses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security … requirementsApplies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectationsRequired qualifications, capabilities, and skillsDegree in Computer Science or a STEM-related field (or equivalent)Demonstrated experience delivering ...

derivatives (e.g., uncleared margin rules, clearing mandates) and ensure compliance is embedded in product features and delivery models. Integrate new technologies like automation, AI, and distributed ledger technology (DLT) where appropriate to enhance operational workflows for complex instruments. Collaboration and Leadership Work closely with cross-functional teams, including engineering, client … Education & Preferred Qualifications Experience with data analytics tools (e.g., SQL, Tableau, Python) to derive insights and support decision-making. Familiarity with emerging technologies like AI, machine learning, and DLT within financial services. Prior experience working within a financial services technology platform or a similar business unit. CFA, MBA, or Masters ...

Office teams make better decisions through trusted data, clear reporting, advanced analytics and continuous business improvement. The team delivers initiatives across reporting, process optimisation, AI adoption, automation, data governance and broader transformation initiatives. As the volume of strategic initiatives, data and reporting continues to increase, the team is expanding … prototyping where appropriate. Lead business engagement and requirements definition for DealCloud and other Front Office technology enhancements. Support the identification, evaluation and delivery of AI, automation and digitisation opportunities across Front Office functions. Drive AI adoption through proof of concepts, business cases and production deployment. Partner with Technology, Architecture ...

cost efficiency. Creating trusted, reusable data products and common datasets that reduce duplication and support consistent enterprise reporting, client insight, digital services, and AI‐ready use cases. Owning the intake, prioritisation, and delivery of engineering, BI, and analytics demand, balancing strategic change, project delivery, and business‐as‐usual requirements. Partnering … analytics solutions. Strong knowledge of the Microsoft data and analytics ecosystem, including Azure data services, SQL, Power BI, and modern engineering practices. Experience with AI, machine learning, IoT, and Oracle environments is advantageous. Demonstrable experience establishing engineering standards, DevSecOps practices, automated testing, monitoring, data quality controls, and reliable production support. ...

insight, governance and delivery of the Foundation’s Data Strategy. The Data Scientist will strengthen how the Foundation uses Power BI, data science and AI to support better decisions, creating trusted reports, dashboards, semantic models and reusable datasets that help establish one version of the truth. Acting as a Data … ways of working. This role will also help build data capability by training key stakeholders and mentoring the Data Services Team in Power BI, AI and consistent, governed approaches to reporting and analysis. What you will be doing: Act as the Data Services business partner across the Foundation, collaborating with ...

highly skilled Senior Data Engineer to become part of our core Enterprise Data Engineering team. You will be a senior member of the larger AI, Data and Innovation organization, responsible for designing and expanding enterprise-level data infrastructure that enables the company's internal teams to interact with data comprehensively. … exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems. This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms ...

things equally well: build and maintain the data models that reporting sits on, work with people to understand what they actually need, and use AI-assisted tooling as a normal part of how the work gets done. You don't need to arrive doing all three confidently - you need … data models, documentation and governance as we consolidate two organisations onto a shared Microsoft Fabric platform - and you will do it using the AI-assisted tools and workflows the team has adopted as standard, under a peer-review safety gate, which is also where a lot of your own learning ...

source systems into our Lakehouse on Microsoft Fabric, process it through a medallion architecture, and deliver modelled, trusted data that’s ready for reporting, AI and machine learning. You’ll sit in our Data team reporting to the Head of Data, working with our Data Analysts on modelling, and with … standards we adopt. As the data platform grows so will the role and there’s scope to move into advanced analytics, and AI-assisted tooling such as Fabric MCP, Fabric IQ, Copilot and data agents. Key Responsibilities Building and maintaining scalable data pipelines, pulling data in from core business systems ...

adopted by teams, and improve decision‐making across the firm. You will help shape these capabilities inside an established Design Technology team, working alongside AI and data engineers, data scientists, designers, and product stakeholders to translate ambitious, pioneering ideas into production‐ready platforms. What You Will Do Design, build … datasets. Integrate machine learning outputs into design and delivery workflows so practitioners can access insights earlier and make more informed project decisions. Apply responsible AI and data governance practices, including transparency, traceability, human oversight, and appropriate handling of client and project data. Support the firm’s data‐driven design community ...

Stratford Upon Avon About the role As a Data Scientist at NFU Mutual, you'll design, develop and deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning … will include designing, building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding ...

enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams … Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience ...

organizations and influence senior stakeholders. Problem Solver: Calm under pressure with a decisive approach to unblocking program bottlenecks and resolving technical conflict. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters … managers review all outputs and make the final hiring decision regarding every application. Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. ...

help take them through to operational use. You will work across Data Science, Data Engineering and Analytics, applying advanced statistical, Machine Learning and AI approaches to complex healthcare and organisational problems and ensuring that successful solutions are reproducible, scalable and capable of delivering measurable value. This reflects … will also provide methodological assurance around model validity, uncertainty, assumptions, limitations, bias, fairness, explainability and model drift, helping ensure that Data Science and AI solutions are appropriately validated, monitored and understood. These responsibilities are explicitly reflected in the JD's requirements for model risk, validation, audit, bias, fairness, drift ...