3,076 to 3,100 of 20,436 AI Jobs

Data Engineer role develops and maintains trusted, high-quality data pipelines, warehouse structures and analytics-ready datasets to support reporting, insights, decision-making and AI initiatives across the organisation. Responsibilities Design, develop, and maintain data pipelines to ingest, cleanse, transform, and curate data from multiple source systems. Build and optimise … data warehouse structures that support reporting, insights, and AI use cases. Develop scalable data solutions using Databricks, SQL, Python, and Azure data technologies. Create and maintain high-quality datasets, semantic models, and data products for Power BI reporting and self-service analytics. Implement data quality controls, monitoring, and validation processes ...

estate for observability using tools such as Datadog, CloudWatch, and Dynatrace, and use telemetry insights to support improvements to infrastructure hygiene Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and coding support (e.g., drafting unit tests and documentation), validating outputs and handling data according … production environment Familiarity with production readiness practices including observability (metrics, tracing, logging) and incident management in distributed systems Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity Ability to review and validate AI ...

engineering teams to define application roadmaps and prioritize strategic technology investments Drive modernization initiatives, including cloud adoption, platform simplification, application resiliency, automation, and AI-enabled capabilities Act as the primary technical authority for the application suite, making informed decisions on architecture, design patterns, technology selection, and engineering best practices Manage … deep understanding of Front Office processes, investment workflows, and evolving business needs Promote innovation by identifying opportunities to leverage emerging technologies, data-driven insights, AI capabilities, and automation to improve business outcomes and operational efficiency Ensure platforms meet required standards for security, compliance, resiliency, performance, and operational supportability What ...

Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a \"normalized\" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make … small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin (US), London (UK) About ...

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development … deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful ...

combine strong SQL, scripting and AWS experience with modern DevOps practices to build, maintain and improve data pipelines, data services and supporting infrastructure. AI is a key part of the role. You will be expected to use AI-assisted engineering tools responsibly to accelerate development, improve documentation, support analysis … innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace. We have built a collaborative and creative culture, leveraging AI-driven solutions to enhance our products, processes and decision-making. We pride ourselves on cultivating an inspiring working environment with our employees at the heart ...

problems are challenging but rewarding, and we look forward to hearing from you if you feel up to the task. We’re an AI-forward desk. You’ll be encouraged to use the AI assistant of your choice provided by Cboe, and supported with the team’s toolkit, connectors … curated learning paths to get good at it quickly. Every associate here carries at least one AI-related goal. We care that you understand the answer and can stand behind it, not which tool helped you get there. Location: London. Shift: 3rd shift (US) coverage. Specific hours will be confirmed ...

About The Role Taktile is building a platform for creating, publishing, and executing AI-powered agents that help teams automate complex workflows in financial services. The Agents team owns the agent execution runtime, tool orchestration, and platform infrastructure that makes this possible, including the conversational copilot experiences built … week from our Berlin HQ, London Office or Iasi Hub. What You'll Do Build and ship features end-to-end for Taktile's AI agent platform: backend in Python (FastAPI) on AWS serverless infrastructure, and frontend in React and TypeScript. Build conversational copilot experiences end to end: chat ...

pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters … Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. Our Solutions & AI Lab practice are looking for an experienced AWS Platform Engineer to join the team. Specifically, we're looking for an experienced software developer who wants ...

will apply that lens across the full control landscape: cloud security, supply‐chain and vulnerability management, endpoint and identity, detection and response, and AI security. CMG operates in a highly regulated, client‐facing market, so scope and impact here are unusually large for the level. We value strong collaboration … privileged access controls. Support detection and response, partnering with our DFIR and MDR relationships and helping mature toward a proactive posture. Address AI security risks (prompt injection, data poisoning, model and agent governance) and help keep AI controls ahead of adoption. Cross‐functional Leadership and Program Ownership Take ownership ...

seeking a Software Engineer for Autonomy to support the development, deployment and evolution of software, data and AI capabilities across complex and safety-critical programmes. Working within a newly established software development team, you will contribute to the creation of scalable and reusable software solutions that enhance operational capabilities … Degree, HND or equivalent qualification in a relevant engineering or software discipline. Eligible to obtain UK Security Clearance (SC). DESIRABLE SKILLS Experience with AI, Machine Learning or autonomous systems. Knowledge of containerisation and cloud deployment technologies. Experience with large-scale data integration programmes. Understanding of software architecture governance ...

global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer … Enterprise, & Hardware Enablement Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge ...

infrastructure for machine and robot data collection, storage, analytics, and monitoring. Create intelligent diagnostics, visualization, and data-driven automation capabilities. Apply machine learning and AI technologies to improve system performance, diagnostics, reliability, and operational efficiency. Collaborate with cross-functional engineering teams, product management, and customers to define and implement … environment. Experience with robotics software development, machine automation, or industrial control systems. Experience with Python and modern software development frameworks. Familiarity with machine learning, AI, data analytics, or data-driven software applications. Experience in one or more of the following would be a plus, Experience working with customers to address ...

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 ...

code written by others Drives decisions that influence product design, application functionality, and technical operations and processes Leads reuse-first adoption of enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis, option evaluation, and delivery of strategic global solutions, with human-in-the-loop validation and appropriate … consider the use and application of leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Establishes portfolio-level guardrails for AI-assisted and agentic workflows used in architecture and engineering governance, including traceability/auditability and control expectations aligned to resiliency and security standards Required Qualifications ...

requirements into effective technical solutions Present proposals and updates to stakeholders, building confidence and demonstrating value Stay current with Microsoft 365, Power Platform, and AI innovations, championing new tools and approaches to improve delivery and productivity About the Candidate: Bachelor’s degree in Computer Science or a related field … Strong knowledge of the Microsoft 365 ecosystem (e.g. Azure AD, SharePoint, Teams) and integration with custom applications and bots Experience with Microsoft Copilot or AI-powered Microsoft 365 services would be advantageous Proven experience designing and architecting enterprise-grade, secure, and scalable cloud solutions, ideally within regulated industries Demonstrated ability ...

execute a book of work, contributing to communities of practice and adoption of leading-edge technologies Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction … ensures consistent validation, security, resiliency, and reuse of proven patterns Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets Required qualifications, capabilities ...

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia … Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled ...

help leading aerospace and defence manufacturers transform how they design, build and deliver complex products. Combining deep sector expertise with strategy, engineering, data, AI and cloud capabilities, we turn ambitious manufacturing visions into measurable business outcomes. From defining smart factory strategies and accelerating production ramp-up, to deploying Industry 4.0 … agility. Develop compelling transformation roadmaps, operating models and business cases that secure executive sponsorship and investment. Lead multidisciplinary teams across strategy, manufacturing, engineering, data, AI, cloud and technology disciplines to deliver business outcomes at scale. Shape and oversee the deployment of Industry 4.0 solutions, including MES, Industrial IoT, AI-powered ...

/SIEM equivalent) Support UEBA (User & Entity Behaviour Analytics) to catch compromise early Use Claude Code to develop detection logic and correlation rules Build AI-powered anomaly detection (user behaviour, access patterns) Automate alert triage and prioritization Platform Integration & Automation Integrate Datadog with Azure monitoring and GCP Cloud Logging … Experience of hands-on detection/threat analysis Strong technical foundations (SQL, Python, cloud platforms) Integration or M&A security experience Forward-thinking mindset (AI-assisted security, emerging threats) Independent operator (self-directed in ambiguous environment) Datadog OR Sentinel experience (or very strong hands-on SIEM background) Open-source ...

step with business requirements and operating system changes is a critical success factor for this role. You will also help the team adopt AI in a pragmatic, safe, and outcomes-focused way, improving engineering velocity without compromising quality, privacy, or data integrity. Your impact will be measured by reliable … smooth onboarding and delivery of new platform support (including Android 17 and upcoming iOS releases) without regression to data quality, alongside clear progress in AI-augmented engineering workflows and platform evolution that keeps pace with product needs. Primary Responsibilities Lead and directly manage the mobile engineering organization (currently 3 Android ...

customer. Effectively track time and bill for hours worked on customer projects. Assist sales and sales engineering on technical prospect calls when required. Leverage AI/ML capabilities to enhance integration frameworks, solution design, system automation, and operational efficiency. Support the responsible use of AI-driven approaches in cloud-based … solutions, DevOps practices, and Salesforce architecture to drive customer success and innovation. Stay informed on emerging AI technologies and assist the team in identifying opportunities for scalable and secure AI integration. Requirements Typically requires a minimum of 8 years of related experience/proficiency with a bachelor’s degree ...

helping leading financial institutions reimagine how financial crime capabilities are designed, built and operated. As regulatory expectations evolve and emerging technologies such as AI, workflow orchestration and real-time data platforms reshape the landscape, we are looking for individuals who can help bridge the gap between financial crime risk … future-state solution designs and agile delivery approaches Support the development of product roadmaps, tracking dependencies, risks and delivery milestones Identify opportunities to apply AI, agents, automation and modern platforms to address financial crime challenges Contribute to transformation business cases and support the development of future-state financial crime visions ...

help leading aerospace and defence manufacturers transform how they design, build and deliver complex products. Combining deep sector expertise with strategy, engineering, data, AI and cloud capabilities, we turn ambitious manufacturing visions into measurable business outcomes. From defining smart factory strategies and accelerating production ramp-up, to deploying Industry 4.0 … agility. Develop compelling transformation roadmaps, operating models and business cases that secure executive sponsorship and investment. Lead multidisciplinary teams across strategy, manufacturing, engineering, data, AI, cloud and technology disciplines to deliver business outcomes at scale. Shape and oversee the deployment of Industry 4.0 solutions, including MES, Industrial IoT, AI-powered ...

bottlenecks. Participate in feature planning to ensure metrics, alerting, logging, automation, resiliency, capacity, and performance needs are built in from the start. Use approved AI tools to accelerate root-cause analysis, log and trace investigation, runbook drafting, post-incident analysis, test scaffolding, and documentation. Continuously develop AI skills relevant … Kubernetes. Experience with cloud computing services. Familiarity with common observability and reliability toolchains such as Grafana, Prometheus, Elasticsearch, Kibana, or Jaeger. Ability to use AI-assisted engineering tools responsibly, including validating outputs, understanding failure modes, and applying secure handling of sensitive information. Preferred qualifications, capabilities and skills Experience with AWS. ...