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AI/ML Engineer
Build and deploy generative AI models using LLMs, RAG, and vector databases. Engineer AI agents with PyTorch/TensorFlow and Azure AI, and implement MLOps pipelines.
Expert développeur DevOps/MLOPS
Build and maintain MLOps pipelines and cloud infrastructure to deploy AI models, focusing on automation, CI/CD, and best practices for scalable, auditable ML systems.
Data Engineer
Build and maintain ML pipelines in Python and AWS to forecast renewable energy output from wind and solar assets.
AI / MLOps Engineer
Builds and deploys AI/ML models from prototype to production, focusing on MLOps pipelines, model monitoring, and scalable infrastructure for public-sector and energy clients using PyTorch, TensorFlow, and cloud platforms like AWS SageMaker.
Product Owner
Own AI product vision, turning business needs into measurable ML use-cases, and steer a cross-functional team to deliver sovereign-energy solutions using PyTorch, Hugging Face, and MLOps tooling.
AVP/VP, AI Engineer, Data Management Office
Leads AI agent design, testing, and deployment for a financial group, focusing on robust, safe workflows and LLM evaluation in Python and Azure.
Senior Executive/Assistant Manager (Data Analytics Engineer), AIO Innovation Office (Contract)
Build and maintain analytics-ready datasets, validate data quality, and support dashboards using SQL and BI tools like Spotfire/Tableau for a healthcare organization.
Senior Data Engineer
Design and maintain scalable data pipelines and lakehouse/warehouse architectures to power analytics, dashboards, and AI models, automating ETL workflows and enabling MLOps.
Senior Data Engineer Python | Hadoop | AI | Big Data
Build and maintain large-scale data pipelines and AI-ready platforms for a banking client using Python, Hadoop, Spark, and cloud tech to support ML, GenAI, and analytics.
First VP, Senior Data Engineer, Group Technology & Ops
Lead the design and build of enterprise-scale data platforms and AI-ready data assets for a major bank, using Spark, Kafka, Iceberg, and cloud-native tools.
Lead Engineer/ Engineer, DevOps & MLOps (AI Platform), xCloud
Build and maintain the AI platform, automate ML workload deployments, and engineer secure DevSecOps pipelines using Kubernetes, GitLab, and ML tools.
Lead Engineer/ Engineer, DevOps & MLOps (AI Platform), xCloud
Build and maintain the AI platform’s DevOps/MLOps infrastructure, automate CI/CD pipelines, and deploy scalable ML workloads using Kubernetes, Kubeflow, and GitLab.
Architect DevOps & MLOps for AI Platform
Design and maintain scalable ML infrastructure and automated pipelines for an AI platform in homeland security, using tools like Kubeflow, MLflow, and ArgoCD.
(Senior) AI Engineer - Data & AI Organisation (all genders)
Design and implement enterprise-grade AI solutions using LLMs, predictive models, and agentic workflows to deliver scalable analytics and data products for business functions like Finance and HR.
AI & Data - AI Lab: AI Engineer - Agentic & Generative Intelligence - Senior/Assistant Manager
Build and deploy LLM-driven AI agents and generative solutions using Azure OpenAI, LangChain, and Hugging Face, focusing on RAG pipelines, multi-agent systems, and responsible AI.
FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant - Dublin
Senior Data Engineer builds and optimizes cloud data pipelines for financial services clients using Azure, Snowflake, and Databricks to support analytics and regulatory reporting.
Solutions/Data Bricks Architect - Remote
Designs and implements secure, scalable Databricks-based data lakehouse solutions for federal clients, integrating with AWS GovCloud/Azure Government and ensuring compliance with FedRAMP, FISMA, and NIST standards.
Architect - Machine Learning and Data
Design and lead production ML and generative AI platforms on Microsoft Azure and Fabric, defining MLOps, LLMOps, and enterprise-scale AI architectures for client organizations.