26 to 50 of 10,820 AI Jobs

processes, identify gaps, and implement solutions that drive efficiency and innovation. Lead migration and upgrade projects for legacy systems, ensuring minimal disruption and maximizing system adoption across teams. Leverage AI/ML and analytics capabilities to enhance reporting, forecasting, and decision-making within these platforms. Lead end-to-end digital transformation initiatives, modernizing legacy systems and migrating critical business applications … Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends: Experience with AI/ML-driven CRM solutions and cloud-native architectures More ❯

processes, identify gaps, and implement solutions that drive efficiency and innovation. Lead migration and upgrade projects for legacy systems, ensuring minimal disruption and maximizing system adoption across teams. Leverage AI/ML and analytics capabilities to enhance reporting, forecasting, and decision-making within these platforms. Lead end-to-end digital transformation initiatives, modernizing legacy systems and migrating critical business applications … Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends: Experience with AI/ML-driven CRM solutions and cloud-native architectures More ❯

processes, identify gaps, and implement solutions that drive efficiency and innovation. Lead migration and upgrade projects for legacy systems, ensuring minimal disruption and maximizing system adoption across teams. Leverage AI/ML and analytics capabilities to enhance reporting, forecasting, and decision-making within these platforms. Lead end-to-end digital transformation initiatives, modernizing legacy systems and migrating critical business applications … Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends: Experience with AI/ML-driven CRM solutions and cloud-native architectures More ❯

As a System Architect and Developer, you will play a critical role in designing, developing, and implementing robust, scalable, and secure systems that support our innovative AI-driven platform. You will lead a team of developers, collaborate with cross-functional teams, and contribute to strategic technology decisions that align with our business goals. Key Responsibilities: Lead System Architecture Design: Develop … years in a system architect or senior developer role. Proven experience leading development teams. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI and machine learning concepts. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with microservices architecture and RESTful APIs. Knowledge of database systems (SQL and NoSQL). Experience More ❯

is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a … findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

with emerging analytics and automation capabilities. This role focuses on enhancing data quality, accessibility, and standardization across the AIMSS environment, while contributing to the roadmap for future analytical and AI-enabled solutions. Responsibilities Leverage experience in test data operations, AIMSS systems, and metadata standards to support data quality, standardization, and lifecycle management. Identify, validate, and integrate structured and unstructured data … systems and deep knowledge of metadata structures, dictionaries, and validation requirements. Understanding of data governance, metadata management, and data standardization principles. Ability to identify and roadmap emerging analytics and AI capabilities (e.g., automation, machine learning, GenAI assistants) aligned with program objectives. Proficiency with data visualization tools (e.g., Power BI, Tableau, R Shiny) to present operational insights. Excellent communication and collaboration More ❯

visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the analytics lifecycle. Keep up-to-date with the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a Data Scientist or in a similar role. Strong programming skills in Python, R, or SQL . Hands-on experience with More ❯

architecture blueprints, technical design documents, data models, and integration diagrams to ensure transparency and alignment. Innovation & Thought Leadership Stay current with emerging trends in data mesh, data products, generative AI, and open data ecosystems. Contribute to internal capability development and go-to-market strategies. Required Qualifications & Experience Education Bachelor's or Master's degree in Computer Science, Information Systems, Business More ❯

Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance. We are seeking an Artificial Intelligence (AI) Engineer/Policy SME to support a fast-paced, dynamic environment supporting the governance process. In this role, this person will work closely with the ODNI CDO & CAIO to create … AI governance policy based on experience and real-world considerations, and provide hands-on work dealing with AI models for prototyping, training, inference, and deployment. The customer is seeking a subject matter expert, creating and translating trend analyses, and facilitate stakeholder decision-making, policy, and governance pertaining to current and emerging AI technology. The selected candidate should have experience in … more than one of the requirements below: Be an expert in the field of AI with an in-depth knowledge of AI architecture and development Experience translating highly technical concepts into policy and governance documents Have in depth experience with collaborating with various IC Partners on policy and governance Have an expertise in one or more of the following subfields More ❯

won't just support the mission - you'll define it. Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton is seeking a Senior AI Research Scientistto join our team of qualified, diverse individuals. The ideal candidate will influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI … leading teams on major FAA programs, your work will directly impact the millions of passengers and aviation professionals who rely on safe, efficient airspace operations every day. The Senior AI Research Scientist will work with senior research scientists and managers to perform research and development of AI/ML technologies such as natural language processing and generative AI. In this … and industry to address some of the most complex challenges in modern aviation. Influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS). Contribute to critical research programs at premier facilities such as the William J. Hughes Technical Center, where cutting-edge simulations and testing More ❯

and teamwork. Our purpose defines why we exist: We pioneer sustainable aerospace for a safe and united world . Responsibilities - your mission We are the central Advanced Analytics and Artificial Intelligence team in Airbus for commercial aircraft and we deliver business impact through AI products and services across the entire value chain all the way from selling, designing, procuring, manufacturing … data from all over the Airbus ecosystem at our disposal paired with an unparalleled product complexity, we are exposed to unique and exciting challenges, working at the forefront of AI in the aviation industry. Key responsibilities for this role include but are not limited to: Partner with business functions on missions to absorb domain expertise and priorities, build analytical insights … and translate business challenges into AI related opportunities that you will tackle with our wider team Carry out hands-on, end-to-end AI/ML model development from early ideation, exploration and feasibility studies on to design, development, deployment as well as monitoring of scaled AI services Support our AI capability teams in defining and delivering on AI capability More ❯

supporting 100% remote work anywhere within the United States. Must be able to support Eastern Time Zone ICF is seeking a Machine Learning Engineer with a passion for applied AI to join our Data Science team. This role is focused on building and integrating AI-powered solutions that solve real client problems. You'll work across a variety client engagements … translating cutting-edge AI capabilities into production systems, rapid prototypes, and scalable pipelines. We're looking for someone who loves building things, can bridge the gap between data science and software engineering, and has the communication skills to explain complex concepts to non-technical stakeholders. What you'll be doing: Build and Integrate AI Solutions Design and implement AI-driven … data pipelines and systems that integrate seamlessly with existing client infrastructure Develop production-ready ML solutions using modern frameworks and cloud platforms Architect scalable AI systems that prioritize reliability, maintainability, and performance Collaborate with software engineering teams to embed AI capabilities into production applications Implement MLOps best practices including model versioning, monitoring, and continuous deployment Rapid Prototyping and Demonstrations Create More ❯

Description SAIC is seeking an AI Data Engineer to join our team in Fort Belvoir, Virginia. The AI Data Engineer will be responsible for designing, developing, and maintaining data pipelines and architectures to support AI and machine learning workloads within the Army Intelligence & Security Enterprise (AISE). This role will focus on ensuring data availability, quality, and security for AI … applications, enabling advanced analytics and decision-making capabilities. The AI Data Engineer will collaborate with multidisciplinary teams to optimize data workflows and support operational integration of AI solutions. Job Duties: Design and implement scalable data pipelines to support AI and machine learning workloads. Develop and maintain data architectures that ensure data quality, availability, and security. Collaborate with internal teams and … external partners to identify and address data requirements for AI applications. Optimize data workflows for real-time analytics and decision-making processes. Ensure compliance with data governance policies and security protocols. Stay updated on advancements in data engineering, AI, and machine learning technologies. Support the operational integration of AI/ML solutions to enhance intelligence capabilities. Qualifications Required Education: Bachelors More ❯

AI Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid …/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions Engineers to lead the design, development, and deployment of AI solutions. This hands-on technical role focuses on building scalable AI-powered services for both B2B and B2C applications. The successful candidates will work under the coordination of the Lead Data Scientist … and closely with stakeholders to integrate AI capabilities into existing systems, leveraging advanced Microsoft Azure services. Day-to-day of the role: Design and develop AI solutions using Microsoft Azure services including AI Foundry, Open-AI services, and Microsoft Copilot Studio. Collaborate with cross-functional teams to integrate AI technologies into business processes and consumer applications. Manage the full lifecycle More ❯

AI Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid …/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions Engineers to lead the design, development, and deployment of AI solutions. This hands-on technical role focuses on building scalable AI-powered services for both B2B and B2C applications. The successful candidates will work under the coordination of the Lead Data Scientist … and closely with stakeholders to integrate AI capabilities into existing systems, leveraging advanced Microsoft Azure services. Day-to-day of the role: Design and develop AI solutions using Microsoft Azure services including AI Foundry, Open-AI services, and Microsoft Copilot Studio. Collaborate with cross-functional teams to integrate AI technologies into business processes and consumer applications. Manage the full lifecycle More ❯