1 to 25 of 6,315 Artificial Intelligence Jobs

the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in … with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery … e.g., Terraform, ARM Template, Databricks Asset Bundles). Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the More ❯

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 benefits. Advise stakeholders on AI strategy, technology, and policy More ❯

Position Level: Junior/Mid Position Type: Full-time (Onsite) About Intelmatix: Intelmatix is a deep tech Artificial intelligence (AI) company founded in July 2021 by a group of MIT scientists with the vision of transforming enterprises to become cognitive. A cognitive enterprise is one that uses AI and Decision Intelligence in making their decisions. This leads … integrate and process data from a variety of sources. We develop efficient data pipelines that ensure seamless data flow into our data lake and transform it to support business intelligence and machine learning applications. Our work spans the entire data lifecycle; from ingesting data from clients, to developing complex ETL processes, to building systems for scraping external datasets (e.g. … quality, and integrating data from various sources. As a Software Engineer, you will play a key role in designing, developing, and maintaining scalable data infrastructure that supports our business intelligence and analytics efforts. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and load data from diverse sources into our More ❯

Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other … areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables More ❯

for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we … develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has … key global markets. Our challenge We are seeking a highly skilled and experienced Senior Data Engineer to join our innovative team, supporting our initiatives in Investment Banking and Generative AI (Gen AI). The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions tailored to complex financial systems and AI applications. Additional Information The base salary More ❯

Location: London, United Kingdom Date Posted: Aug 19, 2025 Category: Engineering We are seeking a dynamic AI Engineer with 2-4 years of experience to join our growing team. You will be responsible for designing, building, and deploying cutting-edge AI solutions that deliver autonomous, user-facing capabilities. This role focuses on creating LLM-powered applications & data enrichments, agenting workflows … and intelligent systems that directly impact our users' experiences. What You'll Do: As an AI Engineer on our team, you will take ownership of end-to-end AI solution delivery, from initial concept through production deployment and ongoing optimization. You'll architect and implement LLM-powered applications&enrichments, multi-agent workflows, and autonomous AI systems that directly impact our … vector databases and semantic search technologies. You'll be responsible for deploying and operating these LLM applications at scale, ensuring they perform reliably in production environments. This includes containerizing AI services, implementing deployment pipelines for rapid iteration, and establishing monitoring systems that track both performance metrics and AI-specific indicators like response quality, hallucination rates, and autonomous decision accuracy. Your More ❯

closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients. Overview We are seeking a highly motivated and experienced AI/Data Science Product Strategy Lead to spearhead the development and implementation of innovative AI-powered solutions that will revolutionize our performance marketing capabilities. This pivotal role will be responsible … for envisioning, building, and scaling AI automations and measurement products that directly enhance campaign performance, drive efficiency, and unlock new opportunities for our clients. You will be at the forefront of leveraging recent advancements in AI, particularly in the areas of Large Language Models (LLMs) and AI agent frameworks, to create truly game-changing solutions within a performance media context. … This role demands a strategic thinker with strong technical acumen, a passion for innovation, and the ability to translate complex AI concepts into tangible and scalable product offerings. Responsibilities • Develop and own the AI product vision and strategy for performance marketing: Define a clear roadmap for AI-powered products and automations that address key challenges and opportunities within performance media More ❯

with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients. Job Description We are seeking a highly motivated and experienced AI/Data Science Product Strategy Lead to spearhead the development and implementation of innovative AI-powered solutions that will revolutionize our performance marketing capabilities. This pivotal role will be responsible … for envisioning, building, and scaling AI automations and measurement products that directly enhance campaign performance, drive efficiency, and unlock new opportunities for our clients. You will be at the forefront of leveraging recent advancements in AI, particularly in the areas of Large Language Models (LLMs) and AI agent frameworks, to create truly game-changing solutions within a performance media context. … This role demands a strategic thinker with strong technical acumen, a passion for innovation, and the ability to translate complex AI concepts into tangible and scalable product offerings. Responsibilities • Develop and own the AI product vision and strategy for performance marketing: Define a clear roadmap for AI-powered products and automations that address key challenges and opportunities within performance media More ❯

Corndel is seeking exceptional individuals to join our Professional Development Expert (PDE) Team to deliver first class coaching and training for our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar … hands-on experience designing and deploying ML models in industryideally within agile or cross-functional teams. Understands what it takes to build and maintain scalable, ethical, and production-ready AI systems. Can share personal stories of both success and failure in deploying ML, helping learners understand real-world challenges like stakeholder alignment, data quality, model drift, or technical debt in … new ground and offering a more intelligent, dynamic, and achievable way of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to become More ❯

Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other … areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 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 ❯

Flask, FastAPI, or Django. Familiarity with Elasticsearch for search and indexing. Strong knowledge of containerisation tools (Docker) and experience implementing CI/CD pipelines. Hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (Traditional RAG), and Agentic RAG. Proficiency in front-end development using HTML, CSS, JavaScript, and React. Experienced with Git for version … pressure. Proactive, innovative mindset, comfortable challenging the status quo and proposing creative solutions. Desirable Skills and Qualifications Experience or familiarity with Next.js. Strong interest and enthusiasm for emerging technologies, AI advancements, and continuous learning. Bachelor's degree or higher in Computer Science, Software Engineering, or related technical discipline Working at Ascent At Ascent we promote a healthy work-life balance More ❯

prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data … mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets Implementing scientific technology products that leverage the data and capabilities provisioned by Onyx The Staff Application Engineer and Team Lead will play a More ❯

in Python-including pandas, scikit learn, TensorFlow/PyTorch, LightGBM/XGBoost-and experience with SQL. Hands on experience with cloud ML platforms (AWS SageMaker, Azure ML, or Google AI Platform). Solid understanding of software engineering fundamentals: version control, code reviews, automated testing, and containerization. Familiarity with FX markets, risk management concepts, or financial forecasting. Excellent problem solving skills More ❯

PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions. JOB DESCRIPTION We are seeking an experienced Data and AI Architecture Leader to lead our strategic data architecture initiatives across PIMCO's enterprise. This role will be instrumental in designing and implementing a robust data ecosystem that supports business-wide … processes, with a focus on cloud migration, AI enablement, and digital transformation. You will play a key role in our strategic cloud migration initiative, helping transform our enterprise data architecture to a modern, cloud-native ecosystem. The successful candidate will lead efforts to streamline our data processes, improve data quality and consistency, and enable more efficient analytical capabilities across the … organization. Additionally, you'll be instrumental in building an AI-ready data foundation that allows us to leverage machine learning and artificial intelligence to enhance business decision-making across all domains. REQUIREMENTS Bachelor's or Master's degree in Computer Science, Engineering, or related technical field 8+ years of experience in enterprise data architecture or systems design Strong More ❯

PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions. JOB DESCRIPTION We are seeking an experienced Data and AI Architecture Leader to lead our strategic data architecture initiatives across PIMCO's enterprise. This role will be instrumental in designing and implementing a robust data ecosystem that supports business-wide … processes, with a focus on cloud migration, AI enablement, and digital transformation. You will play a key role in our strategic cloud migration initiative, helping transform our enterprise data architecture to a modern, cloud-native ecosystem. The successful candidate will lead efforts to streamline our data processes, improve data quality and consistency, and enable more efficient analytical capabilities across the … organization. Additionally, you'll be instrumental in building an AI-ready data foundation that allows us to leverage machine learning and artificial intelligence to enhance business decision-making across all domains. REQUIREMENTS Bachelor's or Master's degree in Computer Science, Engineering, or related technical field 8+ years of experience in enterprise data architecture or systems design Strong More ❯

skilled and proactive Machine Learning Engineer to join our team. The ideal candidate will have a strong foundation in machine learning, with hands-on experience in traditional ML, Generative AI, or agentic AI. A basic understanding of supply chain business and expertise in working with large, complex supply chain datasets are essential for success in this role. The Machine Learning … instrumental in developing cutting-edge data-driven models and algorithms. Key responsibilities include creating innovative use cases, developing proof-of-concept solutions, and leading the deployment of Supply Chain AI applications. And work closely with stakeholders to gather business requirements, manage data processing, build interactive business intelligence dashboards, and provide valuable insights to support our digital transformation target. Responsibilities … End-to-End AI Solution Ownership: Design, develop, and deploy scalable AI/ML solutions for Sales, Manufacturing, and Logistics domains using Scikit-learn, TensorFlow, or PyTorch. Ensure seamless integration of models into production systems (APIs, cloud services, or edge devices). Stakeholder-Driven Problem Framing: Partner with business units to translate operational challenges into data/AI requirements. Define More ❯

code reviews to ensure project teams produce clean, maintainable code. Evaluate and benchmark all new initiatives prior to developing solutions. Maintain awareness of emerging engineering methodologies and advancements in artificial intelligence, while continually refining our Agile processes and fostering strong collaborations with academia, IDT, and industry partners. Contribute to community building initiatives like Quant Capability Centre for Shell … grow into a role We are keen to hear from candidates with the following: Postgraduation/PhD with substantial years' work experience as software developer/data scientist/AI engineer. Degree level in STEM, computer science, engineering, mathematics, or a relevant field of applied mathematics. Good understanding of Trading terminology and concepts (incl. financial derivatives), gained from experience working More ❯

Engineer to join our growing platform team. This role is critical in designing, building, and maintaining our robust, scalable, and secure cloud platform, which supports our core applications and AI/ML models. The ideal candidate will have deep expertise in cloud technologies (Azure), Infrastructure as Code (IaC), container orchestration, and CI/CD pipelines. An understanding of MLOps and … data pipeline tools is also essential for integrating with our AI components. Core Responsibilities Cloud Platform & Infrastructure Management Design, implement, and manage secure and high-performance cloud infrastructure on the Microsoft Azure ecosystem. Utilize Terraform to automate the provisioning, configuration, and management of cloud resources, ensuring consistency and reliability. Optimize cloud costs and performance through best practices in resource management More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. 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. The Amazon Web Services Professional Services … position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities 1. Generative AI Model Development: -Design and develop generative AI models, including language models, image generation models, and multimodal models. -Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms … and stay up-to-date with the latest advancements in the field of generative AI. 2. Data Acquisition and Preprocessing: -Identify and acquire relevant data sources for training generative AI models. -Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards. -Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance. More ❯