301 to 325 of 4,861 Artificial Intelligence Jobs

make your mark. Are you our next Data Solution Architect? We are currently seeking to hire a Data Solution Architect at Associate Director level to join our Dublin Data & AI team. We are looking for professionals with extensive experience in designing modern, scalable data platforms and cutting-edge analytics & AI solutions, coupled with strong industry experience and exceptional communication skills … Permanent Key Qualifications and Experience We ideally need you to have most of the following on your CV: 7+ years' experience in designing and implementing modern data, analytics, and AI programs, with a focus on scalable, cloud-native solutions for large, complex organisations. Expertise in architecting data platforms , including data lakes, data lakehouses, data meshes , and real-time streaming architectures … to support advanced analytics, AI, and business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming) and integrating cloud-based platforms More ❯

of recent exp in data engineering and end-to-end automation of data pipelines. Technical Skills: Data Warehousing, Strong SQL, and Python Strong understanding of data science and business intelligence workflows. Programming exp ideally in Python & SQL exp with large-scale data warehousing and analytics projects, including using AWS and GCP technologies. Proven track record of successful written communication … RDS, etc) Agile methodology and DevOps process, modern data Integrations tools (DBT, Informatica Power Center, AWS Glue or similar) preferred *3+ years(s) of data modeling and familiarity with AI/ML and BI tools, a plus. xfsbrmf Minimum Required Experience: 10 years EOE, including disability/vets Remote working/work at home options are available for this role. More ❯

equivalent. End to end knowledge of data warehouse and reporting processes. Ability to identify and implement process improvements in a controlled manner. Have strong consulting skills, having applied business intelligence and data analytics techniques in that context. Be very hands-on, technically strong on data engineering, reporting and analysis. Be commercially savvy and articulate in 'data' story-telling to … quickly. Ability to visualise data effectively and communicate findings and recommendations clearly. Proven experience of cloud technologies (AWS, MS Azure, GCP). Advantageous competencies (but not essential): Exposure to AI/ML. Exposure to the open source stack. Experience in price modelling techniques. Experience in managing a small data team and mentoring. Some exposure to behavioural data (eg Google or More ❯

Manufacturing Services (EMS) environment. This role is pivotal in shaping our data strategy, with a strong focus on leveraging Microsoft Fabric to unify data engineering, data science, and business intelligence across the organization. This is a hands-on role; you will architect solutions and also roll up your sleeves to build, optimize, and maintain them. Key Responsibilities: · Architect and … Qualifications: · Experience with IoT data ingestion and analytics in a manufacturing context. · Knowledge of data mesh or data fabric architectures. · Certifications in Microsoft Azure or Power BI. · Experience integrating AI/ML capabilities into data platforms. · Exposure to MDM concepts and tools. Why Join Us? · Be part of a transformative data journey in a high-tech manufacturing environment. · Work with More ❯

Data Modeller role offers the chance to make a significant impact within an innovative, tech-driven organisation. You'll work at the forefront of data modelling, analytics engineering, and AI-enablement, helping shape scalable data products that power enterprise reporting, machine learning, and self-service insights. Senior Analytics Engineer/Data Modeller Responsibilities Design, build, and maintain analytical and AI … transformations, and CI/CD best practice. Partner with analysts and data scientists to deliver performant and reliable datasets. Implement data quality monitoring, validation processes, and performance optimisation. Support AI initiatives by designing AI marts, feature engineering structures, and ML-ready datasets. Contribute to standardised KPIs, metadata, and a single source of truth for reporting. Work with business teams to … Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong attention to detail and data quality. Desirable: Exposure to AI/ML data preparation, Python or Spark, Data Vault 2.0, data governance, GDPR, and experience working in mobility, logistics, financial services, or tech-enabled environments. What's in it for More ❯

Client: [e.g., Department of Defense, U.S. Army, DARPA, etc.] *Position Overview:* We are seeking a mission-driven Senior Data Scientist with Machine Learning expertise to support advanced analytics and AI/ML initiatives within the Department of Defense. This role involves leading the development of machine learning models to support national security objectives, operational readiness, and strategic decision-making. The … statistical and machine learning techniques to structured and unstructured data from diverse sources (e.g., sensor data, ISR, logistics, cyber). * Ensure models are explainable, auditable, and compliant with DoD AI ethical principles and data governance policies. * Mentor junior data scientists and contribute to the development of reusable tools, frameworks, and best practices. * Support the integration of ML models into operational … cybersecurity protocols, and cloud platforms (e.g., AWS GovCloud, C2S, Azure Government). Preferred Qualifications: * Experience with MLOps tools (e.g., Allow, Kubeflow) and containerization (Docker, Kubernetes). * Knowledge of DoD AI/ML policies, ethical AI frameworks, and data labeling standards. * Background in NLP, geospatial analytics, or time-series forecasting. * Experience with classified data handling and cross-domain solutions. * Benefits: * Competitive More ❯

Applied Researcher 1 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing … simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the … products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in More ❯

Applied Researcher 1 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing … simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the … products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in More ❯

Applied Researcher 1 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing … simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the … products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in More ❯

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing … simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the … products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in More ❯

Job Description: Data Scientist Location: London/Hybrid – Office two days per week About Clariti AI Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional … revenue. This is an exciting time to join the company, with a small but growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very More ❯

and product managers. You will: Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. Provide guidance and perform software development work … or a Master's Degree in Software Engineering 10+ years of experience in software development 7+ years of experience in directly managing engineering teams 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data 2+ years of experience in developing Generative AI models and frameworks More ❯

and product managers. You will: Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. Provide guidance and perform software development work … or a Master's Degree in Software Engineering 10+ years of experience in software development 7+ years of experience in directly managing engineering teams 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data 2+ years of experience in developing Generative AI models and frameworks More ❯

and product managers. You will: Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. Provide guidance and perform software development work … or a Master's Degree in Software Engineering 10+ years of experience in software development 7+ years of experience in directly managing engineering teams 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data 2+ years of experience in developing Generative AI models and frameworks More ❯

and product managers. You will: Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. Provide guidance and perform software development work … or a Master's Degree in Software Engineering 10+ years of experience in software development 7+ years of experience in directly managing engineering teams 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data 2+ years of experience in developing Generative AI models and frameworks More ❯

and product managers. You will: Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. Provide guidance and perform software development work … or a Master's Degree in Software Engineering 10+ years of experience in software development 7+ years of experience in directly managing engineering teams 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data 2+ years of experience in developing Generative AI models and frameworks More ❯

and product managers. You will: Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. Provide guidance and perform software development work … or a Master's Degree in Software Engineering 10+ years of experience in software development 7+ years of experience in directly managing engineering teams 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data 2+ years of experience in developing Generative AI models and frameworks More ❯

and product managers. You will: Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. Provide guidance and perform software development work … or a Master's Degree in Software Engineering 10+ years of experience in software development 7+ years of experience in directly managing engineering teams 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data 2+ years of experience in developing Generative AI models and frameworks More ❯

you'll be proud to tell your friends about. Qodea is built for what's next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development. We are looking for a Senior Data Scientist to join our professional services team. We look for people who embody: Innovation to solve the hardest … for every result. ‍Integrity always. About The Role The purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations. This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible … What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience with MLOps Collaborative, proactive, logical, methodical, and attentive to detail Excellent communication skills More ❯

you want it to go. Join EY and help to build a better working world. General information Location: Dublin Available for Work Visa Sponsorship: No Business area: Technology Consulting (AI and Data) Contract type: Permanent The team and the opportunity Are you ready to shape how organisations use data to make smarter decisions? At EY Ireland, we're looking for … responsibilities Designing scalable, secure, and high-performing data architectures using Databricks and cloud-native tools Leading the development of data models, pipelines, and integration frameworks that support analytics and AI Collaborating with clients and internal teams to understand business needs and translate them into technical solutions Setting data governance and quality standards to ensure trusted and compliant data Guiding and … working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full More ❯

breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get the future you want | is an More ❯

breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get the future you want | is an More ❯

across engineering, supply chain, and operational systems to include functional allocated and product baseline data from our suppliers. Drive innovation and program adoption of data science, machine learning, and AI to enhance program performance. Collaborate with engineering and business leaders to align data initiatives with corporate goals, including leveraging AI, digital twins, model-based systems engineering (MBSE), and Industry 4.0 More ❯

dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks More ❯