3,876 to 3,900 of 19,924 AI Jobs

recruitment process, please let us know. Use of Artificial Intelligenceby candidates in the CAA recruitment process We recognise that many of our candidates find Artificial Intelligence to be a useful tool to support your application, however, all examples and statements provided must be truthful, factuallyaccurateand taken directly from your … experience. Where plagiarism has beenidentified(presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be rejected on that basis. Working With Us ExploreWhat We Offersection on our careers website to find out about our benefits and how we support work-life balance. ...

party research to unlock strategic opportunities. Lead projects as a self-starter with exceptional communication, stakeholder management, and cross-functional management skills. Build AI-enabled data products, Tableau dashboards, reports, and presentations. Drive the transition from traditional insights generation to LLM-based technologies, building interfaces and tools that leverage AI … distribute ad tech research, actionable market intelligence, and competitive intelligence. Drive business analytics projects through all phases, including data quality, quantitative analysis, automated AI summarisation, and presentation of executive-level deliverables. Develop data models and analytical tools for ongoing audience segmentation, benchmarking, trending, and competitive analysis. Key Qualifications Postgraduate degree ...

categories, ensuring data quality, and making sure everything integrates cleanly into our broader data models and customer-facing products. As we move toward more AI-first ways of working, the tribe is also rethinking how transaction data should be accessed and used — not just by analysts and product teams … AI systems and LLM-powered tools. The work is foundational and long-term in nature: improving systems, shaping strategy, and building capabilities that compound in value over time. A day in the life Analyse enrichment data (using Python and SQL) to understand where and why enrichment falls short — quantifying problems ...

preparing performance reviews and business reports for middle and top management, and provide ad-hoc analysis for project and process improvement initiatives Use AI tools to accelerate data cleaning, report generation, and insight summarisation, freeing up time for deeper analysis What You Will Need: Multiple years of experience … work with large datasets. Ability to work in a fast‐paced environment and manage multiple tasks simultaneously. Effective communication and collaboration skills. Comfort using AI tools to speed up analysis, documentation, processes and reporting workflows. This is an initial 6-month FTC position AI at Perk AI is embedded ...

informs, and inspires the world’s most influential C-Level Operations & Supply Chain Officers – and their teams – to unlock the true potential of the AI and Digital Revolution. Our members use Zero100’s our research, advisory services, data, and peer community, to sharpen strategy, challenge assumptions, and accelerate progress … their most important transformation priorities from AI adoption and digitization to resilience and decarbonization. With a rapidly expanding headquarters in central London, Zero100’s members include Nike, Walmart, Unilever, Pfizer, Google, Honeywell, and General Motors. Recent recognition: 2026 King’s Award for Enterprise in the International Trade The Sunday Times ...

External) Define EPICs and User Stories based on Client Requirements Work with Stakeholders Documentation and User Training Identify opportunities for automation, process streamlining, and AI-ready data use cases Required Skills Working with clients to capture business and product requirements Strong analytical and writing skills, to include solid experience … focus on high-quality work while under pressure Data oriented with excellent attention to detail Preferred/Good to Have Skills Understanding of AI/GenAI fundamentals and how to structure "AI-ready" reference data Exposure to process automation, workflow streamlining, or intelligent data quality checks Qualifications : 3+ years ...

company is seeking an experienced marketing analytics professional to join its EMEA Marketing team. The team supports a portfolio of consumer technology products, including artificial intelligence platforms, devices and subscription-based services. Despite the formal title, this is not a traditional machine-learning or advanced data science role. The position ...

About Us ace is a specialist post-digital advisory and delivery partner helping financial institutions implement high-impact automation, AI, and post-digital solutions in regulated environments. We combine deep technical expertise with a practical understanding of governance, controls, and operational risk to deliver production‐grade outcomes at pace. About … specialist post-digital advisory and delivery partner helping financial institutions implement high-impact automation, AI, and post-digital solutions in regulated environments. We combine deep technical expertise with a practical understanding of governance, controls, and operational risk to deliver production‐grade outcomes at pace. We are part ...

redefining how the world's most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success … recognized as a Leader in the Gartner® Magic QuadrantTM for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting ...

About the job As part of the Transform Together Consulting team, you will lead impactful change primarily in the area of Data and AI by partnering with industry-leading companies to shape strategy and drive operational excellence. You will be working across organisational levels, depending on your comfort and experience … related field; a Master’s degree is a plus Identifying, assessing and leading on the implementation of opportunities for operational performance improvement, automation and AI-enabled operations management to reduce cost, increase productivity, and enhance customer experience. Performing data-driven diagnostics of operational performance to identify waste, rework, and automation ...

Work hand in hand with Agile Delivery Leads, ensuring impediments, risks and dependencies are understood and managed effectively. Act as the driving force for AI and agentic tool adoption within the BA workflow, automating routine documentation, user story creation, and requirement mapping. Decouple delivery demand from headcount growth by discovering … implementing clever, AI‐augmented workflows that maximise squad throughput. Champion the use of advanced Business Process Modelling and Data Modelling (e.g. Entity Relationship Diagrams) within the team, ensuring complex workflows and data structures are accurately visualised and governed. Take responsibility for the Line Management of Business Analysts within your domain ...

Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events – improving quality of data outputs. The result: ORs are optimised like never before – with predictive analytics … Familiarity with healthcare data privacy standards: HIPAA, GDPR. Desirable Knowledge of surgical workflows or clinical documentation practices. Exposure to ambient sensing, computer vision, or AI/ML data pipelines in a clinical context. Familiarity with HL7 FHIR R4/R5 and modern SMART on FHIR architectures. Experience with Snowflake, Databricks ...

solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role). Experience with design and implementation of data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization and next-best-action, and agentic AI workflows for audience building and campaign activation. … higher) in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering or similar. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks ...

business objectives. Aufgaben The impact you'll make As an Observability & AIOps Engineer, you will build the intelligence layer that enables enterprise systems and AI agents to understand operational health in real time. You will transform telemetry, logs, metrics, traces, and events into actionable operational insights that improve reliability, reduce … downtime, and accelerate incident resolution. Your work will establish the foundation for autonomous operations by enabling AI agents to perceive, reason about, and respond to complex system behavior. What you'll do Design and implement enterprise observability strategies across cloud, infrastructure, applications, and platforms. Build telemetry pipelines that ingest logs ...

Software Engineer in our Network Systems team, you'll design, build, and operate the software that keeps this platform running. From automation tooling and AI-powered network intelligence to provisioning and monitoring systems, your work will directly influence how reliably our services perform at scale. You'll bring independent technical … similar open-source network controller frameworks Observability experience. Use of metrics, logs, and traces using tools such as Grafana, Prometheus and Sentry Experience with AI agent development or LLM integration Agile/Scrum working practices ISP or managed connectivity background Automated configuration management (Ansible, Puppet, or similar) We are committed ...

conversational interfaces. You will define and lead the ML strategy, team, and delivery across this domain. That means building and scaling ML and AI capabilities that measurably improve the customer experience and drive business outcomes. The work spans traditional ML systems and emerging agentic/LLM-based capabilities. You will … lead multiple ML teams through their respective team leads, reporting to the Director of AI & ML. You’ll be accountable for the people (2 ML Managers and ~10 ICs), delivery, and budget across your pillar - including vendor and infrastructure cost management. You’ll work closely with Product, Engineering, Data, Analytics ...

reduce avoidable declines, and simplify issuer, acquirer, and merchant interactions across the payment lifecycle. The program centralizes account update orchestration and lifecycle management, leverages AI-driven optimization intelligence, and executes time-critical optimization actions while maintaining clear domain ownership and scalable boundaries. We build products for scale. The SRE & Performance … payment information current throughout the issuer-cardholder relationship. In this role, you will apply your experience in API performance testing, automation, scripting, data setup, AI-assisted script generation, bottleneck discovery, performance tuning, and performance data analysis. You will contribute to capacity planning, platform resiliency, and automation practices that improve engineering ...

including using performance projections to support planning, prioritisation and timely intervention against key targets. You will also support the adoption and practical use of AI and automation within reporting and insight processes, helping the business reduce manual effort, improve consistency and focus more time on analysis that creates measurable value. … structured prioritisation to balance competing requests, focusing effort on the highest-value business questions and reducing low-value reporting demand. Identify opportunities to use AI, automation and modern analytics tools to improve reporting efficiency, accelerate insight generation and support better decision-making. Skills and Experience Required: Essential: 3+ years experience ...

Client onboarding and the KYC department. Being responsible for identifying, leading, and delivering transformation initiatives across the onboarding and KYC lifecycle, including process redesign, AI automation opportunities, operational efficiency programmes, and strategic change projects. Having line management responsibility for MI Analysts, Data Analysts, Project resources, or other support colleagues … Client onboarding and the KYC department. Being responsible for identifying, leading, and delivering transformation initiatives across the onboarding and KYC lifecycle, including process redesign, AI automation opportunities, operational efficiency programmes, and strategic change projects. Having line management responsibility for MI Analysts, Data Analysts, Project resources, or other support colleagues ...

owns everything customers actually look at: the web app, the mobile app, the metrics engine behind our analytics cards, the scheduled reports, and our AI and MCP services. A typical feature means adding a query capability to a Django service, exposing it through an API, then building the interface … push on our BI capabilities, covering new chart types, heatmaps, drilldowns and a reworked dashboard grid, plus targets and budgets, a semantic layer, and AI features including a chat over a customer's own data. What you’ll be doing Performance work. These are dashboards over millions of rows ...

cross-functional team, delivering and deploying critical software across a variety of programmes. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

EMEA Maintain AWS certifications and work closely with AWS technical teams Technical focus You will bring experience across several of the following areas: Generative AI and machine learning, including Bedrock and SageMaker Data and analytics, including Amazon Marketing Cloud and Clean Rooms Customer experience platforms such as Personalize and Connect … effort framing in support of account teams. Hands‐on AWS delivery experience, with at least AWS Certified Solutions Architect Associate level certification. Strong data, AI/ML and analytics expertise, with practical experience designing or delivering data platforms, analytics pipelines and ML/GenAI workloads on AWS. Credible ...

Overview At Databricks, we are passionate about enabling data teams to solve the world's toughest problems by building and running the data and AI infrastructure platform that helps customers use deep data insights to improve their business. We focus on tackling technical challenges across design, scalability, and reliability … scale distributed systems. Experience working on a SaaS platform or with Service-Oriented Architectures. Knowledge of SQL. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered ...

cross-functional team,deliveringand deploying critical software across a variety of programmes. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical ...

About us ace is a specialist post-digital advisory and delivery partner helping financial institutions implement high-impact automation, AI, and post-digital solutions in regulated environments. We combine deep technical expertise with a practical understanding of governance, controls, and operational risk to deliver production-grade outcomes at pace. … change, to test script, execution, results and UAT packaging - with full auditability, governance and versioning at every step. Extend the platform’s use of AI to interpret requirements, distinguish well-formed from poorly-formed requirements, identify coverage gaps, and generate candidate test scripts and expected results. Build out the automation ...