1 to 25 of 6,887 Artificial Intelligence Jobs

Manchester/Madrid (1 Position) Position Purpose The Senior Data Scientist is responsible for designing and developing advanced tools and products that leverage Machine Learning, Data Science, and Generative AI techniques using data sourced from various internal and external platforms. This role focuses on increasing supply chain efficiency, boosting productivity, and delivering measurable value to customers by implementing innovative models … monitoring deployed models. Lead and mentor junior data scientists and analysts, fostering skill development and best practices within the team. Drive continuous innovation by exploring emerging data science and AI technologies, including generative AI for supply chain applications. Communicate insights, risks, and recommendations effectively to both technical and non-technical stakeholders. Support prioritization and management of data science workstreams to … Remote Skills to succeed in the role Active Learning, Adaptability, Bitbucket, Cloud Infrastructure (Aws), Code Reviews, Cross-Functional Work, Curiosity, Databricks Platform, Data Science, Data Storytelling, Digital Literacy, Emotional Intelligence, Empathy, Git, Initiative, Machine Learning, Problem Solving, Python (Programming More ❯

globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant/Manager - Dublin/Cork/Limerick/Galway General Information Location: Dublin, Cork, Limerick, or Galway. Available for VISA Sponsorship: No Business Area … RBAC. AWS: Experience with S3, Glue, Redshift, and Lambda. Familiarity with IAM, CloudWatch, and Athena. Experience with BigQuery, Cloud Storage, and Dataflow. Familiarity with Cloud Functions, IAM, and Vertex AI (optional). Experience in one or more of the following Data Platforms: Microsoft: Experience with Azure Data Factory for orchestrating data workflows. Proficiency in Azure Synapse Analytics and SQL Server. More ❯

as Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel More ❯

Assistant Vice President Cognitive Engineering Products and Services (Gen AI) Salary: Negotiable (Market) + Top 5 Company Benefits + Bonus Location: Hybrid out of Vienna, VA Position Type: Direct Hire, Permanent - full benefits/bonus etc Requirements The Cognitive and Generative-AI Engineering team, within the Enterprise Data and Information Management (EDIM) department, is responsible for designing and implementing advanced … AI systems to enhance and scale AI adoption across the organization. This pivotal role drives the AI Center for Enablement by leading skilled AI Engineering talent and AI Operations, spurring innovation, attracting top talent, and fostering collaboration with business partners, Enterprise Technology Services, Enterprise AI Strategy, The AI Working Group, and external technology partners. Additionally, this person will operationalize an … Enterprise AI Anchor Platform, nurture an AI-as-a-service culture, and enable the organization to maximize the value from AI investments. The successful candidate will provide delivery and ongoing support for data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the effective implementation of AI initiatives across the organization, while demonstrating strong More ❯

Job Description: The Cognitive and Generative-AI Engineering team, within the Enterprise Data and Information Management (EDIM) department, is responsible for designing and implementing advanced AI systems to enhance and scale AI adoption across the organization. This pivotal role drives the AI Center for Enablement by leading skilled AI Engineering talent and AI Operations, spurring innovation, attracting top talent, and … fostering collaboration with business partners, Enterprise Technology Services, Enterprise AI Strategy, the AI Working Group, and external technology partners. Additionally, this person will operationalize an Enterprise AI Anchor Platform, nurture an AI-as-a-service culture, and enable the organization to maximize the value from AI investments. The successful candidate will provide delivery and ongoing support for the clients's … data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the effective implementation of AI initiatives across the organization, while demonstrating strong communication, technical leadership, and organizational skills. They will assist in leading the coordination of strategic program delivery across Enterprise Data & Information Management (EDIM) disciplines. The incumbent will be considered a subject matter More ❯

their sleeves to solve your mission's biggest challenges. Velocity-X is seeking a highly motivated and self-directed professional to fill the role of Artificial Intelligence (AI) Engineer to support our team in Northern Virginia. Responsibilities: Design, develop, and implement scalable AI/ML computing infrastructures and application stacks. Build and deploy machine learning models and AI … solutions from scratch. Transform machine learning models into APIs for integration with other applications. Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions. Conduct statistical analysis and interpret results to guide and optimize decision-making. Manage data ingestion, preprocessing, and feature engineering to ensure data quality for model training. Optimize AI algorithms for … performance, scalability, and efficiency. Stay up-to-date with the latest AI and machine learning advancements, research, and tools. Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI applications. Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions. Potentially lead cross-functional teams in identifying and prioritizing areas where AI can provide business More ❯

The Artificial Intelligence (AI) Program Manager will lead the strategic planning, development, and execution of AI initiatives that drive innovation and operational efficiency. This role is pivotal in bridging the gap between technical AI teams and business stakeholders to ensure AI solutions align with organizational goals and regulatory requirements. The successful candidate will oversee multiple AI projects, managing … They will also be responsible for fostering collaboration across cross-functional teams, including Information Technology, Data & Analytics, Compliance, Information Security and business leaders. Ultimately, this position aims to leverage AI technologies to create competitive advantages while maintaining ethical standards and data security within the organization. Responsibilities: In this role you will work on and with various teams to orchestrate and … improve the organization's AI capabilities across several lines of business while adhering to the AI Framework as designed You will work to ensure viability of AI driven products, and the data that resides within it You will work with other members of the Digital team, Information Technology, and stakeholders across the organization to curate roadmaps and drive adoption You More ❯

We are seeking a skilled Artificial Intelligence Integration Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. The Artificial Intelligence Integration Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI … dashboards using Grafana, Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends. Data Drift Detection : Implement drift detection pipelines using tools like Evidently AI or Alibi Detect to identify shifts in data distributions and trigger alerts or retraining. Logging and Tracing : Set up centralized logging with ELK Stack or Open Telemetry to capture AI … testing, and deployment. Security and Compliance : Apply secure-by-design principles to protect data pipelines and models, using encryption, access controls, and compliance with regulations like GDPR or NIST AI RMF. Collaboration : Work with data scientists, AI Integration Engineers, and DevOps teams to align model performance with business requirements and infrastructure capabilities. Optimization : Optimize models for production (e.g., via quantization More ❯

technical scrutiny, over the entire lifecycle of the requirements from capability definition through capability realization and capability usage. We have a near-term need for a Data Scientist/AI Engineer to provide onsite support in Norfolk, VA. Responsibilities The Data Scientist/AI Engineer at NATO ACT will contribute to the development and implementation of an enabling data science … and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives. Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems. Lead efforts … of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments. Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO. Implement distributed data storage and processing systems (e.g., cloud based or hybrid architectures) that align with NATO standards and More ❯

work to do. Come join us at the heart of trust! From reviews to user behaviours to internal systems, at Trustpilot we truly have big data. In our Applied AI team, we are leveraging AI and ML to transform data into value, drive product innovation, improve user experience, enrich Trustpilot's data ecosystem and enhance business growth. We are seeking … a Data Science Manager to join our Applied AI team, to help us in our mission. We are seeking a candidate with a proven track record in managing and developing a team of Data Scientists specializing in Applied AI, across junior, mid-level, and senior roles. The ideal candidate will also possess hands-on experience throughout the entire ML modeling … collaborate with cross-functional teams in product management, UX, data analytics, and engineering across various product contexts. This role involves managing the delivery and maintenance of highly impactful, innovative AI/ML solutions at scale. To effectively fulfil this role, you will have an extensive technical background and several years of experience as a Data Scientist/Applied AI Scientist More ❯

Job Summary We are seeking a skilled MLOps Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI-related logging. This role will involve … dashboards using Grafana, Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends. Data Drift Detection: Implement drift detection pipelines using tools like Evidently AI or Alibi Detect to identify shifts in data distributions and trigger alerts or retraining. Logging and Tracing: Set up centralized logging with ELK Stack or OpenTelemetry to capture AI inference … testing, and deployment. Security and Compliance: Apply secure-by-design principles to protect data pipelines and models, using encryption, access controls, and compliance with regulations like GDPR or NIST AI RMF. Collaboration: Work with data scientists, AI Integration Engineers, and DevOps teams to align model performance with business requirements and infrastructure capabilities. Optimization: Optimize models for production (e.g., via quantization More ❯

the world of data-driven decision-making. As an Data Scientist Leader at Capital One, you'll be part of a team that's leading the next wave of AI-driven disruption at a whole new scale, using the latest in computing and AI/ML technologies and operating across billions of customer records to unlock the big opportunities that … help everyday people save money, time and agony in their financial lives. Team Description: The Specialist Models Team in AI Foundations engages in active research in GenAI and AI powered capabilities to build scalable futuristic solutions to enhance our customers digital experience and provide them with superior protection in their financial lives. You will be the driving force to lead … research, innovate and develop applications with emerging AI/ML technologies. Our areas of research include advanced LLM powered search, natural language interfaces, advanced biometrics, recommendation and personalization systems, Highly Sensitive Human Data detection systems, Guardrails, and Red-teaming to build safe and reliable AI systems. In this role, you will: Lead a cross-functional team of data scientists, software More ❯

customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: The GenAI Powered Digital Assistant Team in AI Foundations engage in active research in GenAI powered conversational capabilities and build scalable futuristics solutions to enhance our customers digital experience and real time support through digital assistance. You will … be the driving force to lead research, innovate and develop applications with emerging AI/ML technologies. Our areas of research include advanced LLM powered digital Assistant, multi-agentic workflow, domain specific conversational large language model tuning and inference optimization. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and … product managers to deliver AI powered products that change how developers write software. Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions. Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows. Leverage a broad stack of technologies - Python More ❯

a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for … EY teams ask better questions to find new answers for the complex issues facing our world today. The Team and the opportunity As part of our Data Analytics and AI team, the Data Scientist & AI role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data … will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements. The Data Analytics and AI team serve as trusted advisors, both practical and innovative, to embed innovative data analytics solutions into existing business areas and transforming data into strategic assets. Working across all industries, you More ❯

with the Principal Data Scientist, Head of Data Science & Advanced Analytics, multidisciplinary teams and Industry Partners, the Clinical Data Engineer will design, build, and operationalise robust data engineering and AI solutions that power advanced analytics and AI initiatives across the Trust and beyond. This position requires strong technical capability in SQL, data pipeline architecture, statistical analysis, machine learning, and predictive … best practices in data engineering and analytics. As a technical lead and trusted advisor, the Clinical Data Engineer will help curate bespoke datasets for Advanced Analytics, design and develop AI solutions, shape AI policy, support service innovation, and ensure all solutions align with the Trust's Digital Strategy. The ultimate goal is to turn complex data into actionable insights and … tools that strengthen patient care, improve operational efficiency, and inform strategic decisions. Main duties of the job The Clinical Data Engineer will design, develop, and operationalise data engineering and AI solutions to support research, clinical care, and operational performance across the Trust. They will lead the adoption of best practices, develop automated data pipelines, and implement secure, scalable solutions using More ❯

Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating closely with … governance in data science. Proven ability to manage and mentor data science teams. Evidence of taking a company or department on a journey from Analytics to Data Science to AI and ML deployed at scale. Ability to translate complex analysis findings into clear narratives and actionable insights. Excellent communication skills, with the ability to listen and collaborate with non-technical More ❯

fast-track your career and lead projects that deliver tangible business results. What you will do Act as trusted advisor to board-level stakeholders; co-create enterprise-wide data & AI roadmaps, operating models and investment cases. Shape and execute annual practice plan-investment, hiring plan, capability build, M&A or venturing plays, ensuring a healthy team pyramid and team members … existing relationships and expanding client engagements. What you will bring Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences). 10+ years of consulting experience or relevant industry experience, with at least 3+ years at a senior leadership level and a strong More ❯

impossible. Our employees are not only part of history, they're making history. The Northrop Grumman Specialized Warfighter Development Contract (SWDC) is seeking a highly experienced and motivated Staff AI Software Engineer - SWDC AI/ML Lead to guide and drive our artificial intelligence and machine learning initiatives (AI/ML), at Schriever Space Force Base in Colorado … Springs, Colorado. Position Overview: SWDC supports a wide range of Missile Defense Agency (MDA) directorates with multiple products & capabilities. The ideal candidate will possess a deep understanding of AI/ML principles, a proven track record of leading successful AI/ML projects from conception to deployment, and exceptional leadership and communication skills. As the AI/ML Lead, you … will be responsible for defining the AI/ML strategy, building and mentoring a team of talented AI/ML engineers and scientists, and collaborating with cross-functional teams to deliver innovative AI-powered solutions that drive business value. Responsibilities include: Developing and executing the overall AI/ML strategy, aligning it with the company's business goals and objectives. More ❯

technical scrutiny, over the entire lifecycle of the requirements from capability definition through capability realization and capability usage. We have a near-term need for a Data Scientist/AI Engineer (Enablement & Outreach) to provide onsite support in Norfolk, VA. Responsibilities As a member of the Data Science & Artificial Intelligence (DSAI) Branch, responsible to the Section Head/… COTR, the candidate will contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise, particularly in the context of the ongoing implementation of the Data Exploitation Framework and Program. Identify, contribute to, and implement machine learning (ML)/AI initiatives across HQ SACT and the NATO Enterprise with … customer needs and conform to agreed standards. Utilize in-depth knowledge of NLP, ML applications, or computer vision. Demonstrate experience with Generative AI. Support review of data science and AI activities, processes, products, or services. Collaborate with other data professionals (such as data scientists, data and information managers, data engineers), software engineers, and SMEs from different functional areas, branches, and More ❯

Clear progression plan Remote/work from home options Clear diversity policy Looking to launch your career in AI and automation? Want to design intelligent workflows and build real-world automations using cutting-edge tools like n8n, Copilot Studio, and Power Automate? Apply to this Graduate AI Automation & Workflow Engineer role today! Company profile - High-growth FinTech (Automotive Finance) This … a data-driven approach to decision-making, they combine cutting-edge technology with a commitment to transparency and service excellence. With a strong focus on digital transformation, automation, and AI, they're reshaping traditional processes into intelligent, scalable workflows that deliver smarter customer and colleague experiences. As they continue to expand their Technology function, they're seeking an ambitious Graduate … AI Automation & Workflow Engineer to work closely with the CTO to help build the future of intelligent automation. Job description - Graduate AI Automation & Workflow Engineer In this role, you will play a key role in building, testing, and supporting intelligent automations that streamline processes and improve customer and colleague experiences. This graduate role is designed to give you hands-on More ❯

Job Summary This strategic and hands-on practitioner will lead the delivery of high-impact AI initiatives across our global organization. This role will oversee a team of up to 10 U.S.-based AI professionals and provide dotted-line leadership to a 15-member team in India. The ideal candidate will combine deep technical expertise with strong leadership and communication … skills to drive innovation, improve team capabilities, and deliver business value through AI.Job Description MAJOR RESPONSIBILITIES: Lead the execution of prioritized AI initiatives: Oversee the planning, resourcing, and delivery of AI projects including GenAI, LLMs, and traditional ML. Define project scope, success metrics, and timelines in collaboration with business and technical stakeholders. Ensure alignment with enterprise priorities and integration with … existing systems and data platforms. Manage risks, dependencies, and escalations to ensure timely and high-quality delivery. Manage and mentor a cross-functional AI team across the U.S. and India: Provide day-to-day leadership, coaching, and performance management for a team of up to 10 direct reports and 15 dotted-line reports. Conduct regular 1:1s, team meetings, and More ❯

Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to … learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with … s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change More ❯

Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to … learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with … s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change More ❯

complex datasets within the Army Intelligence & Security Enterprise (AISE). This role will focus on developing predictive models, optimizing decision-making processes, and supporting the operational integration of AI solutions. The Data Scientist will collaborate with cross-functional teams to address mission-critical challenges and enhance intelligence capabilities. Job Duties: Analyze large and complex datasets to identify trends … machine learning models to support predictive analytics and decision-making. Collaborate with data engineers to ensure data quality, availability, and readiness for analysis. Design and execute tests to validate AI models and optimize their performance. Communicate findings and recommendations to stakeholders through reports, dashboards, and visualizations. Stay updated on advancements in data science, AI, and machine learning technologies. Support the … operational integration of AI/ML solutions to enhance intelligence capabilities. Qualifications Required Education: Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD or JD and zero (0) years or more experience; four (4) years of experience considered in lieu of degree. Qualifications: Proficiency in programming languages such as Python or More ❯

data engineering, and analytics initiatives leveraging tools such as Databricks, Qlik, Tableau, Power BI, and Palantir's MAVEN Smart Systems. The ideal candidate will focus on leadership, vision, and AI maturity, with less emphasis on day-to-day development and more on enabling teams, aligning with organizational goals, and elevating data and AI practices. Responsibilities/Duties: • Serve as the … senior technical leader for multi-disciplinary data teams supporting clients with advanced analytics, reporting, and AI development. • Establish engineering best practices and ensure compliance across the entire portfolio. This includes and is not limited to documentation, linting standards, utilization of source code repositories, unit testing, CI/CD pipelines, code peer review, etc. • Shape and evolve the organization's AI … maturity roadmap, including governance, scalability, and ethical AI practices. • Communicate complex technical solutions clearly to senior leadership, stakeholders, and government partners. • Collaborate with program managers, mission leads, and system integrators to define project priorities and success metrics. • Guide architectural decisions, technology stack selections, and platform integration across tools such as Databricks, MAVEN Smart Systems, Tableau, Qlik, and Power BI. • Provide More ❯