26 to 50 of 6,800 Artificial Intelligence Jobs

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 ❯

machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with … Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes … the real-world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices. Work with amazing people and be part of a unique culture Why work here? If you want to help build a More ❯

machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with … Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes … the real-world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices. Work with amazing people and be part of a unique culture Why work here? If you want to help build a 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 ❯

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 ❯

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 ❯

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 ❯

Tyto Athene is searching for a mission oriented AI/ML Engineer to join our CTO shop. This role is multi-faceted. The successful candidate is a highly skilled and innovative AI/ML Engineer to pioneer the design, development, and deployment of cutting-edge artificial intelligence and machine learning solutions at the DoD's tactical mission edge. … in critical operational scenarios. Your deep experience in supporting the mission of the US warfighter enables you to easily translate complex military mission requirements and operational challenges into actionable AI/ML problems and innovative solutions. Responsibilities: Edge AI/ML Model Design: Design, develop, and optimize efficient and lightweight AI/ML models specifically for edge devices with limited … performance at the tactical edge. Develop and integrate on-device learning and adaptive models that can continuously improve and adapt to changing mission environments without constant cloud connectivity. Engineer AI/ML solutions for disconnected or intermittently connected operations, ensuring robustness and functionality even when central network access is unavailable. Multi-Modal Sensor Data Fusion & Perception: Architect and implement advanced 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 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 ❯

to come onsite to Washington DC 5 days a week 2) You are willing to obtain public trust for DOJ which can take up to 3 months Enterprise Architect - AI/Data Washington, DC (5 days a week on-site) Public Trust You will use your deep knowledge of enterprise architecture principles, AI technologies, and data management practices to guide … decision-making and ensure that the architecture supports business objectives and enhances operational capabilities. Key Responsibilities: • Design and develop end-to-end AI and data architectures that support business goals, ensuring scalability, performance, security, and maintainability. • Create architectural blueprints and roadmaps that guide the integration of AI and data solutions across the organization. • Lead the development and implementation of data … platforms and AI-driven systems that facilitate advanced analytics, machine learning, and automation. • Define AI strategy and guide its implementation across business units, ensuring alignment with business objectives. • Oversee the deployment and integration of AI models, tools, and technologies into production systems. • Design and implement scalable cloud-based and on-premises data architectures using platforms like Azure, AWS, or Google More ❯

AI/Data Enterprise Architect needed for a Contract opportunity with SOC's client to work onsite in Washington, DC. Contract Length: 6 months, possibility to extend and/or convert to client FTE Candidates must have a current Public Trust clearance (or held one within the past 6 months) to be considered for this role. Job Description: Our client … is looking for an Enterprise Architect to support a large government program. The Enterprise Architect will be responsible for shaping and leading the architectural vision and strategy around AI and data solutions across the organization. This position will involve working closely with business stakeholders, data scientists, and IT teams to design and implement scalable, secure, and efficient architectures that leverage … AI technologies and data-driven insights. You will use your deep knowledge of enterprise architecture principles, AI technologies, and data management practices to guide decision-making and ensure that the architecture supports business objectives and enhances operational capabilities. This work is located onsite in the DC area. Key Responsibilities: Design and develop end-to-end AI and data architectures that More ❯

cybersecurity solutions to federal and commercial clients. Our team thrives on solving complex problems and creating scalable, mission-driven solutions that make a real impact. We are seeking a AI Engineer to join our growing team. This role is perfect for someone who enjoys building scalable systems, experimenting with AI solutions, and collaborating across disciplines to bring new ideas to … life. Key Responsibilities Design, develop, and deploy scalable applications using Go, Python, and other modern languages. Build and integrate AI-driven solutions, including prompt engineering and automation workflows. Rapidly prototype and iterate on new ideas to deliver minimum viable products (MVPs). Collaborate with cross-functional teams to define, design, and implement technical solutions. Optimize code for performance, scalability, and … s degree in Computer Science, Software Engineering, or a related field. Proficiency in Go, Python, and at least one additional modern language (Java, C#, or Rust). Experience with AI/ML frameworks and automation tools (e.g., IBM UFT, PowerAutomate). Strong understanding of cloud-native development and containerization (Kubernetes, Docker). Experience with OpenAI Hands-on experience with DevOps More ❯

systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities? Then Thomson Reuters Special Services (TRSS) is looking for you! About the Role As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application development and deployment to model development and monitoring … meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer. As a Generative AI and Machine Learning Engineer, you will: Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software … share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise. About you You're a good fit for the role of Generative AI & Machine Learning Engineer if you have: Master's or Bachelor's in a relevant More ❯

Software AI/Machine Learning Engineer Contract/FLEX 40 hours weekly 6-12+ months Onsite As a Machine Learning Engineer on our core Software AI team, you will be at the forefront of designing and developing cutting-edge GenAI applications. You will be working closely with business stakeholders and data engineers to communicate AI recommendations to senior management. … The Selected candidate is expected to have completed a masters degree with 2-3 years of experience. Within the scope of the AI program, this would mean we need to look for an ML Ops Engineer/Data Engineer with cloud certification: Hands on experience with Python/C/C++; 2-3 years of professional experience. Cloud certification (Beginner … scalable solutions. Communicate the results and insights effectively to partners and senior leaders, providing clear and actionable recommendations. Stay updated with the latest trends, technologies, and best practices in AI and GenAI and data engineering. Regularly research and present new ideas to improve the team's technical capabilities. Education and experience Industry experience 10+ years BSCS, 5+ years MS/ More ❯

Software Engineer - Generative AI page is loaded Software Engineer - Generative AIlocations: Newbury, GBRtime type: Full timeposted on: Posted Todaytime left to apply: End Date: November 3, 2025 (19 days left to apply)job requisition id: Summary: VIAVI has a 90+ year history of technical innovations that have evolved to keep pace and address our customer's most pressing business issues. … network analytics, customer experience, and automation. Own end-to-end delivery - from prototyping to production release. Build and optimize RAG pipelines, LLM integrations, and orchestration workflows Deploy and monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and … operations teams Champion responsible AI practices and safety mechanisms in all development work Pre-Requisites/Skills/Experience Requirements: Bachelor's degree in Computer Science, Software Engineering, or related field (Master's a plus) Extensive experience in professional software development Strong Python skills and a track record of delivering maintainable, well-tested code Experience with LLM APIs (OpenAI, Hugging More ❯

Sr. Director/VP, Data & AI Strategy Department: Technology & Product Employment Type: Permanent Location: London, UK Description We are seeking a dynamic and visionary leader to join our team as Sr. Director/VP of Data Strategy and ML/AI . This role is responsible for shaping and driving our enterprise-wide data strategy-leveraging data as a strategic … asset to deliver actionable insights, enable innovation through ML/AI, and support scalable, secure, and trustworthy data practices. This high-impact leadership role requires cross-functional collaboration across Product, Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence, insight-led decision making, measurable business outcomes, and embedded ML …/AI capabilities. What that means day to day Architecture & Platform Leadership: Architect a unified and scalable enterprise data platform supporting structured and unstructured data. Build a modern Data Lakehouse/Warehouse as a single source of truth. Implement reporting and dashboarding solutions that empower internal teams and customers. Ensure platform reliability, observability, and security. Promote reusable, curated datasets and More ❯

learning (ML) models and systems within the Army Intelligence & Security Enterprise (AISE). This role will focus on implementing MLOps practices to ensure scalability, reliability, and efficiency of AI/ML solutions in operational environments. The MLOps Engineer will collaborate with data scientists, ML engineers, and cloud engineers to deliver mission-critical AI capabilities. Job Duties: Design and implement … MLOps pipelines to automate the deployment and monitoring of ML models. Develop tools and frameworks to support continuous integration and continuous delivery (CI/CD) for AI/ML systems. Troubleshoot identified issues. Collaborate with data scientists and ML engineers to optimize model performance and scalability. Monitor deployed models for performance, drift, and reliability, and implement retraining workflows as needed. … Ensure compliance with security protocols and governance policies for AI/ML systems. Stay updated on advancements in MLOps practices, tools, and 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 More ❯

TIL). Our mission is to create new competencies for Lockheed Martin for development of Trusted-by-Design Intelligent Systems. TIL technology focus areas include Neuro-Symbolic and Generative AI, AI Assurance, and Human-AI Trust. TIL current application areas are Autonomy, Counter-Autonomy, Command and Control, and Cognitive Security. Advances in AI and Autonomy are poised to have a … transformational impact on society. We are growing our areas of research to lead future technology advances in applied formal methods, simulation, test, verification, validation, and certification of autonomous and AI-enabled systems across air, land, sea, space and cyber domains. This role is scoped as Hybrid with an onsite requirement in either our Arlington, VA or Cherry Hill, NJ locations. … or more of the following: - Algorithm and software development languages (e.g., Python, Java, R, Rust, C, C++ ), libraries (e.g., TensorFlow, Keras ) and platforms (e.g., MATLAB ) - Artificial Intelligence (AI) and Machine Learning (ML) techniques (e.g., reinforcement learning, graph neural networks, game theory, causal fusion, neuro-symbolic reasoning, GenAI ) - Formal methods for assurance, optimization, and verification/validation (e.g., formal More ❯

Senior Data Scientist - AI/ML (Financial Services) Location: Remote/Major Hubs in APAC, Europe, and the UK Team: Advanced Analytics & Artificial Intelligence About the Role We are seeking a highly experienced and innovative Senior Data Scientist to join our global Advanced Analytics team. This is a strategic role focused on designing, developing, and deploying cutting-edge … AI and Machine Learning solutions to solve complex challenges across our banking, financial services, and fintech operations. You will be instrumental in driving revenue growth, optimizing risk management, enhancing customer experiences, and ensuring regulatory compliance on a global scale. Key Responsibilities End-to-End Model Development: Lead the entire ML lifecyclefrom problem framing, data exploration, and feature engineering to model … requirements (e.g., SR 11-7, GDPR, PSD2). Document model development processes thoroughly for internal and external audits. Innovation: Stay abreast of the latest academic and industry advancements in AI/ML and proactively identify opportunities to apply them within the organization. Qualifications & Experience (Required) Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics More ❯

or applicable engineering or science field. Active DoD Secret clearance and ability to receive a TS clearance with SCI eligibility Experience with Artificial Intelligence/Machine Learning (AI/ML) We Take Care of Our People Whether you're looking to launch a new career or grow an existing one, Trideum is the type of company where you More ❯

Pelagic AI, LLC 1765 Greensboro Station Place, Tower 1, Suite 900, McLean VA 22102 USA +1 DevOps Engineer - (Mid level/Senior/Expert) Data Posted: August 2024 Job Title: DevOps Engineer - (Mid level/Senior/Expert) Req Number: 200-xxxx Location(s): Herndon, VA, Chantilly, VA, Melbourne, FL Position Type: Full-Time, W-2 Employment Salary Range: Competitive … polygraph or willingness to take one. Background investigation required, including a minimum of a criminal and credit check as well as at least three professional references. Role Overview: Pelagic AI is seeking DevOps Engineers of varying levels of experience to support the development and integration of various intelligence capabilities into a test and subsequently operational environment. You will be … numerous components into the larger system infrastructure. Deployment will be across multiple networks into hybrid architectures consisting of both local and cloud infrastructures. As a DevOps Engineer at Pelagic AI, you will be a vital part of our team, contributing to the design and implementation of advanced software solutions. You will work under the guidance of senior engineers to develop More ❯

General Atomics Integrated Intelligence, Inc. (GA-I3), an affiliate of General Atomics, maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities, including THRESHER and DRAGONSPELL, that process petabytes of data from numerous streaming data sources … scalable, high-performant cloud-based computer vision systems focused on the automated detection of objects in satellite imagery. State of the art Convolutional Neural Networks (CNNs) are used in AI/ML pipelines to process large volumes of satellite imagery. Object detections from the platform are used by the community to search for objects, maintain object custody, and in Multi … existing codebases Satellite image processing and computer vision applications Image processing libraries such as GDAL, OpenCV Understanding of full lifecycle development Able to build and deploy working prototypes GEOINT AI/ML pipelines Geospatial data processing Cloud technologies such as Kubernetes, Helm Data brokers such as Kafka and RabbitMQ Knative CI/CD pipelines and tooling (Gitlab CI/CD More ❯

Pay for this contract position is based on market location and may vary depending on job-related knowledge, skills, and experience. Summary As a GenAI engineer, you will develop AI-driven enterprise applications, including chatbots on company data. Collaborating with a dedicated team of data scientists and software engineers, you will deliver innovative solutions that drive significant business value and … with business stakeholders to gather feedback and tailor solutions to business needs. What We're Looking For • 5+ years of experience in software engineering, machine learning, data science, or artificial intelligence. • Strong proficiency in Python. • Experience using common NLP and/or ML Python frameworks, such as PyTorch,TensorFlow, Transformers/Hugging Face, and NumPy. • LLM skills including fine More ❯