1 to 25 of 10,820 AI 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 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 communication 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 expert More ❯

rolling up 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 ❯

and finances for responsible American protectors. Learn more about the USCCA at As Principal Data Scientist, you'll lead the design and deployment of advanced analytics, machine learning, and AI solutions that directly enhance member services, strengthen operational decision-making, and drive responsible gun ownership awareness. This role combines high-level strategy with deep technical execution-few opportunities offer this … level of meaningful, socially relevant impact. With modern platforms like Snowflake, Sigma, and Python plus hands-on use of generative AI, LLMs, and agentic AI frameworks, you'll be at the forefront of applied AI innovation. You'll have the freedom to experiment, prototype, and deploy solutions that push the boundaries of what's possible in our industry. Principal Data … develop the data science team and external consultants to build a high-performing and collaborative practice. Champion the adoption of best practices in machine learning, MLOps, model governance, and AI safety. Provide expert guidance and technical oversight on all data science projects and initiatives. Fosters a culture of accountability, professional development, high performance, and integrity. Project Delivery and Business Partnership 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-related logging. This role … 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 … Days a week in Rosslyn, VA Minimum Qualifications Education : Bachelor's or Master's degree in Computer Science , Data Science, Engineering, or a related field. Experience : 5+ years in Artificial Intelligence Integration, D evOps, or software engineering with a focus on AI/ML systems. Proven experience deploying models in production using MLflow , Kubeflow, or cloud platforms (AWS SageMaker, Azure 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 ❯

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 ❯

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. Drive the adoption and integration of AI/ML into the development pipelines Identify and More ❯

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 suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets. … 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 ❯

About the Role: Grade Level (for internal use): 12 The Role: AI Technical Architect The Team: The Data Science Center of Excellence (COE) at S&P Global delivers AI capabilities and advancements to our S&P Global Ratings products and services. The AI ML team within the COE is comprised of experts in AI ML modeling, ML engineers, data science … and data engineering teams. Key Responsibilities: AI Architecture Strategy: Develop and implement AI architecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Create architecture roadmaps and strategies for AI platforms and technology stacks. ML Architecture Design and Development: Design and develop custom AI architecture for batch and stream processing-based AI ML pipelines, including … data ingestion, preprocessing, and scaled AI model computation, ensuring all service level agreements (SLAs) are met. Collaborate with technology and business teams in the design, development, and implementation of enterprise AI platforms. Internal Collaboration: Work closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. Stakeholder Engagement and Collaboration 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 ❯

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 ❯

cloud, on-prem, edge), specifically for the GEOINT mission. As a core individual contributor, you will design, develop, and deploy complex distributed systems and highly interactive user interfaces. Lead AI/ML and Data Initiatives: Lead the design and implementation of large-scale data management platforms, including AI/ML and Generative AI models, ensuring agnostic deployment capabilities for geospatial … learning and staying current with emerging technologies and industry best practices. Mentorship : Previous experience mentoring junior engineers and leading code reviews to ensure high-quality standards. Preferred Qualifications: Advanced AI/ML Experience : A strong mathematical background and extensive AI/ML and Data Science experience, particularly with TensorFlow. Experience in modeling dynamical systems, developing novel modeling techniques, and applying … Agentic AI for workflow automation is highly valued. Data Visualization : Skills in creating dynamic, highly interactive dashboards and visualizations that can handle massive, real-time datasets. This includes strong skills in GIS, Mapping, and Data Visualization, with experience in 3D visualization using technologies like ArcGIS, Cesium, React, Angular, Deck.gl, D3.js, Plotly.js, OpenGL, WebGL, NgRx, Redux, Zustand, Recoil, and Three.js. Geospatial More ❯

cloud, on-prem, edge), specifically for the GEOINT mission. As a core individual contributor, you will design, develop, and deploy complex distributed systems and highly interactive user interfaces. Lead AI/ML and Data Initiatives: Lead the design and implementation of large-scale data management platforms, including AI/ML and Generative AI models, ensuring agnostic deployment capabilities for geospatial … learning and staying current with emerging technologies and industry best practices. Mentorship : Previous experience mentoring junior engineers and leading code reviews to ensure high-quality standards. Preferred Qualifications: Advanced AI/ML Experience : A strong mathematical background and extensive AI/ML and Data Science experience, particularly with TensorFlow. Experience in modeling dynamical systems, developing novel modeling techniques, and applying … Agentic AI for workflow automation is highly valued. Data Visualization : Skills in creating dynamic, highly interactive dashboards and visualizations that can handle massive, real-time datasets. This includes strong skills in GIS, Mapping, and Data Visualization, with experience in 3D visualization using technologies like ArcGIS, Cesium, React, Angular, Deck.gl, D3.js, Plotly.js, OpenGL, WebGL, NgRx, Redux, Zustand, Recoil, and Three.js. Geospatial More ❯

of the data science pipeline, to include applying existing machine learning software across large hyper-parameter trade spaces, developing new machine learning algorithms and evaluating the best the commercial AI/ML industry has to offer to our problem set. Responsibilities: Extracting and transforming data using programming languages such as Python and associated open-source data analytics libraries Ascertaining unique More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and … deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data … stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and … deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data … stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and … deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data … stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and … deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data … stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and … deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data … stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure More ❯