676 to 700 of 21,152 AI Jobs

break down technical problems Creates secure and high-quality production code, and reviews, debugs, and maintains code written by others Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation … platform services, developer platforms, or shared engineering capabilities Experience mentoring junior engineers or contributing to technical practice improvements within a team Familiarity with responsible artificial intelligence use in engineering workflows, including secure handling of inputs and outputs Experience improving developer experience, platform reliability, or operational efficiency at scale #J ...

research, and trading technology. You will work closely with traders, quants, and technology teams to develop and maintain the desk's tooling, analytics platforms, AI capabilities, and systematic infrastructure. Responsibilities Develop, maintain, and enhance front-office applications, automation frameworks, and trading support tools. Build and manage the desk's AI … long history of innovation in quantitative trading and technology within UBS Global Markets. We enjoy solving challenging problems using data, technology, automation, AI, and market intelligence. Our team brings together expertise across front-office engineering, quantitative research, systematic trading, Equities, ETFs, and Delta One markets. As the business continues ...

Core Technical Qualifications: Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science – traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine‐tuning … EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide – including Comcast, Condé Nast, Grammarly, and over 50 % of the Fortune 500 – rely on the Databricks Data Intelligence Platform ...

solutions that support regulatory obligations across multiple jurisdictions. You will help modernize our reporting ecosystem, improve operational efficiency, and drive the responsible adoption of AI and emerging technologies. Your contributions will directly impact the accuracy, scalability, and control of our regulatory reporting processes. Job Responsibilities: Design, develop, and maintain enterprise … Experience with observability, monitoring, and production support practices. Experience using AI-assisted software engineering tools to improve development productivity and software quality. Familiarity with artificial intelligence, large language models, intelligent automation, or agentic workflow concepts. Experience applying automation and AI technologies to operational processes, investigation workflows, or decision-support capabilities. ...

management and systems integration Event-driven and service-oriented architecture Data platforms, analytics and business intelligence Data governance, quality, lineage and master data Artificial intelligence, machine learning and automation Identity and access management Cybersecurity, privacy and compliance DevOps, DevSecOps and platform engineering Containers, Kubernetes and infrastructure as code Enterprise service … rather than documentation for its own sake About VE3 VE3 is a technology and digital services organisation delivering complex transformation, cloud, data, application, cybersecurity, artificial intelligence and managed-service programmes. We work with clients to understand complex business and technology challenges, develop practical transformation strategies and deliver secure, scalable ...

break down technical problems Creates secure and high-quality production code, and reviews, debugs, and maintains code written by others Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation … platform services, developer platforms, or shared engineering capabilities Experience mentoring junior engineers or contributing to technical practice improvements within a team Familiarity with responsible artificial intelligence use in engineering workflows, including secure handling of inputs and outputs Experience improving developer experience, platform reliability, or operational efficiency at scale ABOUT ...

eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g. … methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Demonstrated experience designing and scaling agentic AI-enabled ...

break down technical problems. Develop secure high-quality production code, and review and debug code written by others. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … expectations; experience coaching engineers on safe, compliant adoption within delivery practicesDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Practical experience in cloud computing. Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP ...

eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsSets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI … agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)In-depth knowledge of the financial services industry and their IT systemsDemonstrated experience designing and scaling agentic AI-enabled development ...

most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at https://trellix.com . Role … operate with minimal guidance. Communication: Exceptional oral and written communication skills with a proven track record of building cross-functional relationships across career areas. AI-Powered Productivity: Familiarity with leveraging AI-driven tools and workflows to enhance productivity, automate tasks, and drive more effective product outcomes. Company Benefits and Perks ...

Solutioning Lead Experience (In Years) 12-15 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data … AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York ...

LondonLondon – Data Science & AI/Permanent position/HybridLondon – Data Scientist & Marketing Effectiveness (MMM)Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we've been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness … deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world's most urgent issues. We commit to responsibility and frugality in AI ...

description Marketing is increasingly shaped by data, AI, and automation - and practitioners who understand all three are rare. As a Senior Consultant specialising in Agentic Marketing Data & Analytics, you will work at the intersection of marketing analytics, AI, and data strategy, helping clients harness data to understand their customers more … successful in this role, you will need a growing combination of analytical, technical, and communication skills, paired with a genuine passion for data, artificial intelligence, and their application in marketing contexts. You will have: A foundational understanding of data analysis principles and marketing analytics, including concepts such as customer segmentation ...

description Marketing is increasingly shaped by data, AI, and automation - and practitioners who understand all three are rare. As a Senior Consultant specialising in Agentic Marketing Data & Analytics, you will work at the intersection of marketing analytics, AI, and data strategy, helping clients harness data to understand their customers more … successful in this role, you will need a growing combination of analytical, technical, and communication skills, paired with a genuine passion for data, artificial intelligence, and their application in marketing contexts. You will have: A foundational understanding of data analysis principles and marketing analytics, including concepts such as customer segmentation ...

leadership capability and supporting high performance across teams.- Adds to team culture of diversity, equity, inclusion, and respect. Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness … security, including setting standards and driving adoption across teams.- Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc.- Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft ...

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. ...

priorities, ensuring we operate within our risk appetite. You will collaborate with stakeholders to develop and implement solutions that support our commercial goals, harnessing artificial intelligence and machine learning. Your work will contribute to a culture of integrity, innovation, and excellence. Job Responsibilities: Support and drive adherence to data risk … regulations related to data management and governance Experience implementing firmwide policies and standards Excellent stakeholder management skills and experience coordinating across functional teams Foundational AI/GenAI literacy and ability to identify opportunities for AI implementation to improve efficiency and drive automation Experience in strategic and tactical initiatives, including problem ...

customer sites To ensure our hiring process is fair, efficient, and transparent, we want to inform all applicants that we may use Artificial Intelligence (AI) technologies, including third‐party tools to screen resumes and match candidates to job opportunities based on their skills and experience. All applications are also reviewed ...

MLOps, Infrastructure as Code (Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace … emerging AI platforms. Hands-on experience with AI orchestration and agent frameworks including LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, and AutoGen. Strong knowledge of Prompt Engineering, RAG, Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Azure AI Search), Model Fine-Tuning, LLMOps, and Secure AI practices. Enterprise Architecture & Security Proficiency in enterprise ...

skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands..Hiring and how we workWe use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company ...

core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make … their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies ...

world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability … business process. Join our mission to make processes work for people, companies, and the planet. The Role To push further our vision of Enterprise AI, we are looking for a senior leader to grow and lead our team of Enterprise Architects. This high-impact leadership role demands a unique blend ...

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 ...

research, CRM data, product usage data and business performance metrics into clear, actionable insight. This role is designed to build future data science and AI capability while strengthening day-to-day reporting, dashboarding and evidence-based decision making. You will be responsible for turning customer, commercial and operational data into … evidence, helping the business move towards a more connected view of customer needs, behaviours and outcomes. You will have exposure to data science, automation, AI-ready analytics, cloud environments and customer data architecture. Responsibilities: Analytics and Insight Generation - Analyse customer, product, commercial and operational data to uncover trends, risks ...

Lead GDPR, data protection and data governance activities, ensuring compliance with regulatory requirements and organisational policies. Support the development of future data capabilities, including AI, predictive analytics and enhanced customer insight initiatives. Manage, coach and support the CRM Data Executive, fostering capability development and high performance. Qualifications and Experience Essential … Intelligence or a related field. Salesforce Data Architecture & Management certification or equivalent. Experience using Python for data analysis, automation or process improvement. Knowledge of AI and machine learning applications within CRM and customer analytics. Experience within customer-focused B2B or B2C environments. French language skills Person Specification Strong understanding ...