876 to 900 of 23,328 AI Jobs

real-world, large-scale distributed systems and help design, build, and support highly available, performant, and scalable services that enable the next generation of AI-driven software development by improving Git code-hosting platform through wide-reaching, cross-team work.Our group is highly distributed and the right candidate will thrive … quality product.GitHub valuesCustomer-obsessedShip to learnGrowth mindsetOwn the outcomeBetter togetherDiverse and inclusiveManager fundamentalsModelCoachCareLeadership principlesCreate clarityGenerate energyDeliver successWho We AreGitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth ...

BFSI, leading complex enterprise transformations. Platform Expertise: Deep technical proficiency in modern data platforms (Databricks, Snowflake) and toolsets (dbt, Airflow, Kafka). Advanced Architecture & AI: Mastery of Lakehouse, Data Mesh, Streaming, MLOps, and GenAI integration to drive continuous innovation. Governance & Compliance: Expertise in zero-trust security, lineage, privacy (GDPR, CCPA … Advisory: Strong C-suite presence (CDO, CIO, CTO) aligning technical architecture with high-level business strategy. Value Realization: Proven ability to convert technical and AI capabilities into measurable business ROI and strategic impact. Education: Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field. Job responsibilities Architect ...

role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity and demand signals … deliver them end-to-end, from first principles through to being deployment-ready and beyond. WHAT YOU'LL BE DOING End-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

digiLab is a formative AI company with world-leading specialists in uncertainty quantification, applied where the stakes are highest and the margin for error is smallest. Our customers are among the largest and most advanced engineering and science-led organisations in the world, and they're using our technology … critical questions our technology is helping to answer. At the heart of our work is the Uncertainty Engine, digiLab's trustworthy and explainable AI platform, enabling our customers to accelerate innovation, reduce risk, and deliver real value through more confident decisions. We are looking for ambitious team members to help ...

will define and execute a comprehensive account strategy that drives revenue growth, deepens customer adoption across the full AWS portfolio — including compute, networking, storage, AI/ML, Generative AI, and edge solutions — and positions AWS as the preferred cloud partner for next-generation telco workloads. This role requires deep understanding … ensuring short-term technology decisions align with long-term business goals.Solution-Led Selling: Drive solutions discussions diving deep into complex challenges — including modernization, migration, AI/ML, and infrastructure optimization for telco workloads. Recommend AWS products and services aligned with how the Telco delivers solutions to their end customers (Telco ...

will define and execute a comprehensive account strategy that drives revenue growth, deepens customer adoption across the full AWS portfolio — including compute, networking, storage, AI/ML, Generative AI, and edge solutions — and positions AWS as the preferred cloud partner for next‐generation telco workloads. This role requires deep understanding … short‐term technology decisions align with long‐term business goals. Solution‐Led Selling: Drive solutions discussions diving deep into complex challenges — including modernization, migration, AI/ML, and infrastructure optimization for telco workloads. Recommend AWS products and services aligned with how the Telco delivers solutions to their end customers (Telco ...

deployment, operational handover, and monitoring. May mentor or guide junior developers and data engineers. Enable real-time and batch data processing architectures that support AI-driven analytics, recommendations, forecasting, and intelligent automation. Optimise cloud data platforms for AI scalability, including data lakehouse architectures, semantic layers, and high-performance data retrieval ...

Participate in architecture, solution-design and technical decision-making discussions. Mentor junior developers and support the development of a high-performance engineering culture. Use AI-assisted engineering tools responsibly to improve productivity, functionality and application performance. Ensure confidential information and proprietary code are protected while using AI-based tools. Stay ...

will be involved in the design, rollout and support of highly performant, highly scalable, and highly available services to enable the next generation of AI-driven software development.Prior experience solving problems with large-scale, distributed systems is preferred. (i.e. Petabytes of storage, millions of objects, low latency, high throughput with … quality product.GitHub valuesCustomer-obsessedShip to learnGrowth mindsetOwn the outcomeBetter togetherDiverse and inclusiveManager fundamentalsModelCoachCareLeadership principlesCreate clarityGenerate energyDeliver successWho We AreGitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth ...

French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring … AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role ...

more of the firm’s portfolios. Job Responsibilities : Design, implement, and optimize distributed computing solutions in HPC, K8s and Cloud environments. Leverage Generative AI and AI tooling to enhance the monitoring, management, and optimization of large compute environments. Collaborate with cross-functional teams to improve system performance and efficiency. Develop ...

Experience with regulatory exams and responses is strongly desired. Experience in EEA regulations such as DORA, BCBS 239 and the EU AI Act. Experience in IT audits or risk assessments, Information Technology General Controls (ITGC) and cybersecurity controls. Familiarity with Information Security Frameworks (e.g., NIST, ISO 27000, CSA Cloud Control … Matrix) and ITIL practicesExperience in AI adoption and AI risk managementAbility to articulate technical issues to non-IT stakeholders and business perspective to IT stakeholdersStrong communication, negotiation, and presentation skills, with cross-cultural competenciesEducation & Preferred QualificationsMinimum 10 years of experience in the financial and/or technology industries. Strong project ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates ...

working with our GIT partners to design & develop end to end (data to user) analytic solutions that are both scalable & futureproofed to support ongoing AI transformation. You will be responsible for designing & execution through to enablement which means they will need strong & flexible communication skills – flexing between business language & technical … data analytics technology landscapes and big data solutions. A bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform‐specific data certifications (e.g., GCP, Snowflake). Our Commitment ...

alongside senior engineers and product leadership, you'll contribute to the evolution of our platform while developing your own technical expertise across cloud infrastructure, AI, geospatial data and developer tooling. You'll be responsible for: Designing and building scalable backend services and APIs using C# .NET. Developing platform capabilities that … services hosted within Microsoft Azure. Implementing Infrastructure as Code, CI/CD pipelines and engineering automation to improve reliability and developer productivity. Contributing to AI-powered workflows including document processing, data extraction and intelligent automation. Working with the Security Manager to implement technical controls supporting ISO 27001 and Cyber Essentials. ...

architectures Define integration patterns, API strategies and event-driven architectures Support the effective integration of applications, platforms and services Support data governance, analytics and AI-enabled transformation initiatives Promote responsible adoption of AI, automation and emerging technologies Identify opportunities to improve operational effectiveness through technology innovation Stakeholder Engagement & Leadership Build … Power Platform Azure OpenAI OpenAI Services Kubernetes OpenShift MongoDB PostgreSQL SQL Server Neo4j Elastic Event Hub Service Bus Kafka Confluent GraphQL FinOps Platform Engineering AI/ML Operations (MLOps) Data Mesh Data Products Digital Twin The suitable candidate will need National Security Vetting (NSV) security clearance. They will preferably already ...

annually, across 30+ countries ; helping customers collect and send both recurring and one-off payments , without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks , we help our customers make faster … Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale. What you'll do Contribute to the full model lifecycle , from ...

technical teams to understand the customer's vision, challenges, and requirements, and to propose innovative and scalable solutions that leverage Microsoft 365, Azure, and AI capabilities. You will also oversee the implementation and adoption of the solutions, ensuring that they align with the customer's business objectives, security policies … grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology ...

studies, ensuring efficient development and validation of analysis packages.Select appropriate tools/languages and solve complex technical challenges.Identify and implement improvements, including use of AI/ML.Contribute to departmental initiatives and technical strategy.Quality & Compliance Ensure adherence to standards (e.g., GPP, CDISC) and regulatory requirements.Perform QC on critical outputs and technical … Science, or a related field.Expertise in R programming.6+ years of clinical programing experience5+ years of experience in the Pharmaceutical or Biotechnology industry.Experience using generative AI tools and coding assistants (e.g., GitHub Copilot, Codex, and Claude) to improve programming efficiency, automation, code quality, and analytical workflows in clinical programming.Preferred QualificationIf ...

execution of FX Trade processing and Risk platforms implementation and modernisation, solutioning new cross border payments and custody flows, enhance the usage of Gen AI in delivering cutting‐edge FX products that meet evolving Trading, Sales and client needs and enhance competitive positioning. Key Responsibilities Drive the standardization of business … regulatory adherence, and successful market launch. Manage the end‐to‐end product lifecycle for assigned FX products, from ideation to eventual retirement. Establish an AI first approach in problem solving and solution provision including building prototypes for client, sales and trading workflows. Oversee product testing, validation, and quality assurance processes. ...

Apply and recommend data science best practices and contribute to shared resources. Pursue continuous learning and stay abreast of emerging trends in data science, AI, sensor technologies, and simulation techniques across Defence and Aerospace applications. Skills and Experience Post-doctoral degree in a quantitative field (e.g., Computer Science, Physics, Mathematics … professional experience with a Masters' degree. Strong programming skills in Python/MATLAB, with proficiency in ML libraries Strong knowledge of Machine Learning and AI techniques Experience with deploying operational signal processing systems Familiarity with MLOps and cloud computing platforms; Azure preferred Excellent communication and teaching skills, able to explain ...

month in the office. Drive Data Quality & Insights – Maintain accurate Engineering data, improve data integrity through regular reviews and clean‐up activities, and leverage AI to enhance reporting, accuracy, and decision‐making. Deliver Process Automation & Continuous Improvement – Identify opportunities to streamline processes, gather business requirements, and implement AI‐driven … share knowledge, promote cross‐training, and reduce operational dependencies through effective knowledge transfer. Develop Reporting & Analytical Capabilities – Stay current with emerging technologies, including AI and Microsoft Power Platform, and contribute to enhanced reporting, analytics, and business insights. Coordinate Business Operations & Events – Support the planning and execution of Engineering events ...

month in the office. Drive Data Quality & Insights – Maintain accurate Engineering data, improve data integrity through regular reviews and clean‐up activities, and leverage AI to enhance reporting, accuracy, and decision‐making. Deliver Process Automation & Continuous Improvement – Identify opportunities to streamline processes, gather business requirements, and implement AI‐driven … share knowledge, promote cross‐training, and reduce operational dependencies through effective knowledge transfer. Develop Reporting & Analytical Capabilities – Stay current with emerging technologies, including AI and Microsoft Power Platform, and contribute to enhanced reporting, analytics, and business insights. Coordinate Business Operations & Events – Support the planning and execution of Engineering events ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

ability to scale, automate, and innovate is critical to grow the business and extend our competitive edge. From building intelligent automation tools powered by AI, improving sales and trading workflows, and expanding our electronic architecture to new platforms and markets - this role provides many challenging and rewarding opportunities to drive … year of experience in software development A solid understanding of object-oriented programming skills (Java, Python, C#) including data structures and algorithms Proficiency with AI-assisted development tools (e.g., GitHub Copilot or similar) Energetic, self-directed, and self-motivated Experience collaborating in global teams and possesses strong interpersonal skills Strong ...