976 to 1,000 of 7,413 Artificial Intelligence Jobs

and the willingness to do this independently. Desirable Criteria •Understanding on the importance of data understanding, data cleansing, data manipulation and data translation •An interest in the worlds of AI and machine learning •A dedication to the process of review and testing your ideas and your work (we use Git + Azure Dev Ops). •A broad understanding of or More ❯

the US Department of Defense (DOD), is seeking a Data Engineer to be based in our Arlington, VA office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and More ❯

Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. At Amazon, our vision is to More ❯

goals and driving user growth, engagement, and retention at scale. This is a once in a lifetime opportunity to build the biggest Football community through the application of Generative AI and state of the art deep learning approaches to content generation, recommendations and community building. This is a critical leadership role at the heart of the company's mission, working More ❯

loans. A 360 degree spending view across all your financial accounts (using Open banking) A free credit report with tips and guidance to help improve your credit score Native AI led personalised financial planning to help users manage money, pay off their debts and improve their credit scores. Intelligent lending products to help reduce cost of credit We have built More ❯

more than just a job - we offer a career path filled with growth and opportunities. Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. Passionate Integrity, Driven by Excellence "Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence More ❯

path filled with growth and opportunities. Join us and let's shape the future together! Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. Passionate Integrity, Driven by Excellence "Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence More ❯

our valuations for lender clients. Researching new datasets and advanced machine learning techniques that can be used to increase the accuracy of our property valuation model and improve our AI capabilities across our model and product range Design and create the pipelines and infrastructure to deploy data science models at scale Create the tools, frameworks and libraries that will enable More ❯

cloud. BASIC QUALIFICATIONS - 5+ years of technical engineering experience with operational parameters and troubleshooting for one of the following: Compute/Storage/Networking/CDN/Databases/AI/ML/DevOps/Big Data and Analytics/Security/Applications Development in a distributed systems environment - Bachelor's Degree in Computer Science, Math, or related discipline required More ❯

more than just a job - we offer a career path filled with growth and opportunities. Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. Passionate Integrity, Driven by Excellence "Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence More ❯

cloud. BASIC QUALIFICATIONS - 5+ years of technical engineering experience with operational parameters and troubleshooting for one of the following: Compute/Storage/Networking/CDN/Databases/AI/ML/DevOps/Big Data and Analytics/Security/Applications Development in a distributed systems environment - Bachelor's Degree in Computer Science, Math, or related discipline required More ❯

with cross-functional teams and stakeholders. Strong problem-solving and decision-making abilities, with a focus on delivering results. Bonus: You have a background in building developer platforms, generative AI, B2B SaaS, or functional programming. Benefits & perks (US Full-time employees) Generous PTO, plus company holidays Medical, dental, and vision coverage for you and your family Paid parental leave for More ❯

for structured and unstructured data across systems-including CRM, ERP, DMS, and customer-facing platforms. Design data models, data flow architectures, and system integrations to support analytics, operational reporting, AI/ML, and real-time decision-making. Collaborate with data engineers, analysts, solution architects, and business stakeholders to define and document data needs and data platform capabilities. Drive implementation of More ❯

based approaches and technologies. ·Understanding of the principles of data modelling and data flows with ability to apply this to design of data solutions. ·Experience of supporting and enabling AI technologies. ·Experience implementing data flows to connect operational systems, data for analytics and BI systems. ·Experience documenting source-to-target mappings. ·Experience translating business requirements into solution design and implementation. More ❯

is an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program. THE PROJECT The DarkStar Group's team uses AI/ML approaches (including NLP) to speed the analysis of massive amounts of aging data to determine what can and cannot be declassified, and the resulting redaction of portions of More ❯

PCI). Technical Skills Proficiency with security tools (SailPoint, Rapid7, Wiz.io , MS Defender, SIEM, vulnerability management, penetration testing). Knowledge of cloud technologies (AWS, Azure). Experience using generative AI (e.g., ChatGPT) for test strategies, reports, and communications. Skills in automation and analytics tools (Excel, Tableau, Alteryx, or PowerBI). Create queries and reports in RSA Archer and ServiceNow. Familiarity More ❯

PCI). Technical Skills Proficiency with security tools (SailPoint, Rapid7, Wiz.io , MS Defender, SIEM, vulnerability management, penetration testing). Knowledge of cloud technologies (AWS, Azure). Experience using generative AI (e.g., ChatGPT) for test strategies, reports, and communications. Skills in automation and analytics tools (Excel, Tableau, Alteryx, or PowerBI). Create queries and reports in RSA Archer and ServiceNow. Familiarity More ❯

Python). Familiarity with Salesforce, Dynamics 365, or similar enterprise systems. Excellent communication, collaboration, and stakeholder management skills. Nice-to-Haves Knowledge of Kafka, Snowflake, or Databricks. Experience with AI in data (e.g., real-time forecasting, visualisation). Background in advisory or consulting roles within data strategy. Ability to thrive in ambiguous, fast-paced environments. Confidence in storytelling with data More ❯

industry is experiencing exponential growth, and by joining us, you'll be at the forefront of this ever-evolving landscape. The field is rapidly changing, as threat actors employ AI to scale up phishing and social engineering operations. Why Join Our Team? "You'll have the chance to build large-scale data pipelines moving billions of data points daily in More ❯

BI and data science work. Lead the evaluation and adoption of new BI and data science technologies to improve the team’s overall effectiveness. Identify opportunities to integrate automation, AI, and advanced analytics into both BI and broader business functions. Qualifications Leadership & Team Management – Proven experience leading a multidisciplinary team, including BI professionals and data scientists. BI & Data Science Expertise More ❯

and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization. Job Responsibilities • Data-Driven Action Requirements: Leverage revenue performance data and AI to identify patterns, drivers, and actionable insights across segments, geographies, products, and channels. • Evaluate funnel performance (lead to cash), identifying friction points and opportunities to optimize conversion rates. • Measure ROI More ❯

Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in More ❯

and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in More ❯

with execution. Lead cross-functional teams-including Analytics, Account Management, Legal, Engineering, and Design-to deliver scalable, compliant, and customer-centric solutions. Drive the end-to-end development of AI/ML-powered features such as personalization engines, recommender systems, and predictive product experiences using regression and inference models. Champion product discovery through experimentation, user research, and data-driven hypothesis More ❯

and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques. Awareness of current ML More ❯