951 to 975 of 21,049 AI Jobs

problem, through solution development, to implementation and driving business adoption. Embrace agile working practices, set technical best practices, and actively invest in applying AI tools to enhance productivity and workflow efficiency. Partner with multidisciplinary agile teams—including Senior Data Scientists, ML Engineers, Analysts, and Architects to drive technical product delivery. … Proficient in data science, with coding experience in Python and SQL, and the ability to mentor others. Technical Proficiency: Experience with ML Ops (Vertex AI), Git version control and software engineering best practices whilst using AI effectively to augment these best practices. Problem‐Solving and Innovation: A passion for tackling ...

Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world’s most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized … across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security ...

bringing digital innovation closer to our prospects, projects, and clients The successful candidate will strengthen Regional Digital’s capability across project productivity, automation, applied AI, and cross disciplinary digital delivery, directly contributing to the organisation’s strategy client first, digitally enabled technical excellence. As part of a regional ecosystem spanning … diverse team of Geospatial, data science, automation, data and software engineering consultants who are passionate about exploring cloud native emerging technologies, thriving on data, AI and developing high value automations and innovative digital solutions. You will have an opportunity to work across sectors including transport, energy, water, buildings and advisory ...

proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Drive new businesses, redefine finance using AI, and seize opportunities at market speed. In an era defined by AI, Engineering isn't just central – it's thedriving forcebehind our business. Our dynamic … automated agentic pipelines. You will collaborate with senior engineers to develop end-to-end full-stack applications, implement advanced RAG components, and integrate AI services into mission-critical GIR platforms. How You Will Fulfill Your Potential Feature Engineering: Build and maintain end-to-end full-stack features, integrating analyst-facing ...

further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) . We use AI to support parts of our recruitment process. To learn more about how AI is used, your rights to request a human review or alternative … AI assessment route, and how to raise any concerns, please review our AI Recruitment Guidelines and Recruitment Privacy Notice. #J-18808-Ljbffr ...

Infrastructure Security Engineer - London Dublin, Ireland; London, England, United Kingdom SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate … operations tooling (e.g., Prometheus, Grafana, CloudWatch, Karma; SIEM platforms such as Wazuh) Experience in building custom cloud security tools or integrations Interest in leveraging AI for cloud security monitoring and automation Contributions to open-source cloud security projects Experience with securing AI/ML workloads in cloud environments Experience ...

About AirwallexAirwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. … enablement, IAM and privileged access, API and automated data pipeline integrity, and business continuity and disaster recovery. Build an automation-first assurance engine using AI agents, automated workflows, and custom Python and SQL scripts for continuous control testing, evidence retrieval, and remediation validation. Establish automated finding lifecycle and remediation governance ...

Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. … behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned ...

Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy … Compose definitions for multi‐agent harnesses and model‐backed applications; Hardened Image standardization and migration; New tools that unblock customer progress. Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air‐gapped registries, Kubernetes, CI/ ...

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 ...

techniques into production safely. Build robust evaluation pipelines, training datasets, and model infrastructure to support continuous improvement of natural language & predictive analytics. Ensure responsible AI deployment, embedding ethical and regulatory considerations into every stage of development. Skills, Knowledge & Expertise Bachelor’s or Master’s degree in Computer Science, Machine Learning … developing retrieval-augmented generation (RAG) pipelines – experience setting up/configuring vector DBs, as well as using, would be advantageous; Finding and productionising recent AI models (e.g. via Huggingface (transformers), OpenAI APIs); Building agentic systems (e.g. via LangChain, AutoGen, PydanticAI). Evidence of participating in Open-Source Software (OSS) development ...

creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company … Preply's Lakehouse — including the extraction, normalization, and generation of structured data from Preply's unstructured assets, forming a durable data moat for AI-driven products. The team owns end-to-end batch and streaming ingestion pipelines, data contracts and quality checks, enrichment and modeling across domains, and the self ...

majority of matches are still made manually by Axiom staff. The roleAxiom is looking for a Data Scientist, Manager to define and build innovative AI, machine learning, and statistical solutions that optimize our bespoke legal talent matchmaking platform. Working in a fast-paced environment where most matches are currently done … data and business outcomes—challenging the status quo to improve Client, Talent, and internal user experiences. Specifically, This Role Will Design & Build: Develop advanced AI, ML, and statistical solutions that capture business/customer insights and drive core operational outcomes. Collaborate & Guide: Partner cross-functionally with engineers and product managers ...

strategic decisions. What makes this opportunity different is its breadth. You'll be able to combine financial understanding with data science, analytics, automation and AI, using technology to solve real business problems rather than working with data in isolation. Whether you are developing analytical models, simplifying a finance process … create deliver sustainable, long-term value. Act as a Finance subject-matter expert, applying sound judgement when validating outputs from models, dashboards and AI tools before they are used to inform business decisions. Work Experience You'll be someone who is curious about both how the business performs ...

work on challenging problems across software engineering where performance, data quality, and reliability are non‐negotiable, while leveraging modern cloud (AWS) and AI‐assisted development tooling to accelerate delivery without compromising control. You will be need to have practical use of AI‐assisted development tooling to improve engineering productivity. WHAT … with cloud platforms, specifically AWS Knowledge of CI/CD, automation, testing, and modern engineering practices Strong problem‐solving and analytical skills Interest in AI and emerging technologies Ability to collaborate effectively across global teams Bachelor’s degree in computer science, Engineering, or equivalent practical experience Experience Experience We Value ...

billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of ServiceTM. Our commitment to internal AI adoption has allowed … original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status ...

achieve our target of net zero greenhouse gas emissions by 2050. What's the role? The Data Engineer, working within the Group IT Data & AI team, is responsible for building, maintaining and optimising reliable data pipelines and data platforms that make accurate, governed data available across BRUSH Group. Working with … reporting requirements into scalable technical designs and well-defined data products. Provide trusted Gold-layer datasets and semantic-ready structures for BI, ML and AI use cases. Identify and deliver improvements to engineering standards, automation, deployment practices and platform efficiency. Evaluate new Microsoft Fabric capabilities and recommend adoption where they ...

achieve our target of net zero greenhouse gas emissions by 2050. What's the role? The Data Engineer, working within the Group IT Data & AI team, is responsible for building, maintaining and optimising reliable data pipelines and data platforms that make accurate, governed data available across BRUSH Group. Working with … reporting requirements into scalable technical designs and well-defined data products. Provide trusted Gold-layer datasets and semantic-ready structures for BI, ML and AI use cases. Identify and deliver improvements to engineering standards, automation, deployment practices and platform efficiency. Evaluate new Microsoft Fabric capabilities and recommend adoption where they ...

Machine Learning Engineer 4 - Manager ICDo you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers … emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi ...

Product Security to implement and evolve security patterns, standards, and controls across the platform. Collaborate across B2B Platform, Advantage Platform, Architecture, Product Engineering, AI, and Product Security to deliver secure, reusable integrations. Translate strategic AI pillar objectives into secure, scalable platform capabilities that can be reused across products and AI … boundaries. Experience leading and mentoring engineers, and influencing teams you don’t directly manage through collaboration and technical credibility. Experience translating strategic product or AI objectives into secure platform designs and executable delivery plans. Comfort in customer-facing work, including support, escalations, and resolving competing stakeholder perspectives. Strong communication skills ...

dashboards, analytics and data services turning complex data into products that improve customer outcomes and create commercial value. You'll also help identify where AI and machine learning could enhance customer experiences, automate workflows and unlock new insights. If you're a hands-on Product Manager who combines customer curiosity … investment based on customer value and commercial return. Work with customers to understand their reporting, integration and decision-support requirements. Identify opportunities to apply AI and machine learning to real customer challenges, ensuring new capabilities deliver measurable value. Collaborate with Product Owners, Engineering, UX and Data teams to translate strategy ...

position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at same time help clients achieve the same. Responsibilities Design, build, deploy, and maintain quality code that … simple, well-structured, clear, and well-tested. Use AI agents to speed up development and advise others how to use them safely, both clients and internally. Break down and solve complex problems efficiently, utilizing research and collaboration as needed. Communicate effectively across various mediums, with different audiences, and at appropriate ...

York, and other global locations.The ideal candidate pairs deep Java and Angular engineering with strong distributed-systems design and a proven ability to leverage AI-assisted development to accelerate delivery. This is a senior, hands-on technical leadership role for an engineer who enjoys solving complex business and technical problems … architecture and design reviews across strategic platforms.Drive modernization of legacy applications toward microservices, event-driven, and modern platform architectures, improving resiliency, scalability, and observability.Apply AI-assisted development tools responsibly across the SDLC, including coding, testing, documentation, code review, troubleshooting, and workflow automation.Translate business needs from Trading, Sales, Operations, Risk ...

other global locations. The ideal candidate pairs deep Java and Angular engineering with strong distributed‐systems design and a proven ability to leverage AI‐assisted development to accelerate delivery. This is a senior, hands‐on technical leadership role for an engineer who enjoys solving complex business and technical problems while … design reviews across strategic platforms. Drive modernization of legacy applications toward microservices, event‐driven, and modern platform architectures, improving resiliency, scalability, and observability. Apply AI‐assisted development tools responsibly across the SDLC, including coding, testing, documentation, code review, troubleshooting, and workflow automation. Translate business needs from Trading, Sales, Operations, Risk ...

defining the problem, through solution development, to implementation and driving business adoption.Embrace agile working practices, set technical best practices, and actively invest in applying AI tools to enhance productivity and workflow efficiency.Partner with multidisciplinary agile teams—including Senior Data Scientists, ML Engineers, Analysts, and Architects—to drive technical product delivery.Internally … Expertise: Proficient in data science, with coding experience in Python and SQL, and the ability to mentor others.Technical Proficiency: Experience with ML Ops (Vertex AI), Git version control and software engineering best practices whilst using AI effectively to augment these best practices.Problem-Solving and Innovation: A passion for tackling business ...