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Senior Engineering Manager, Data Science
Lead a team of data scientists and analysts to build and deploy ML models for Truecaller's enterprise products, focusing on risk mitigation, fraud detection, and business intelligence using Python, SQL, and cloud infrastructure.
Lead Machine Learning Engineer - Model Deployment & MLOps - New Team Build
Lead Machine Learning Engineer - Model Deployment \& MLOps - New Team Build We're looking for a talented Lead Machine Learning Engineer to join a major international organisation investing heavily in its data science,…
DevOps Engineer (AI) til Forsvarets nye IT-platform
DevOps engineer helping build the Danish Armed Forces' new greenfield IT platform: standing up secure on-prem Kubernetes clusters (with GPU nodes), CI/CD pipelines, infrastructure as code, and monitoring for AI/ML workloads. Government role based in Karup, Aalborg or Ballerup with security clearance required.
Senior Machine Learning & Data Engineer (m/w/d)
MLOps/ML engineer at Airbus Defence and Space's new Backnang (Stuttgart area) center, building pipelines and the MLOps platform to train, evaluate, version, and deploy ML models for autonomous UAV systems. Core stack: Python, PyTorch, ONNX, Kubernetes, GitLab, MLflow, Kubeflow in multi-cloud and air-gapped clusters.
Senior Software Engineer (AI Platform)
Build and optimize Conga’s AI/GenAI platform, designing scalable systems in Python/FastAPI, deploying models via MLOps, and mentoring engineers to power enterprise contract and revenue solutions.
Software Engineer (AI Platform)
Build and deploy enterprise-grade AI and GenAI services using Python, FastAPI, and MLOps tools to power Conga’s commercial software products.
Senior Lead Software and Data Engineer - Agentic Commerce
Senior Lead Engineer at JPMorganChase's Payments Technology group in London, setting technical direction and architecture for B2B agentic commerce — multi-agent systems, MLOps pipelines, and secure agent authorization. Hands-on with Python, LLM agent frameworks (LangGraph, MCP), Databricks/MLflow, and Kubernetes.
Desenvolvedor de software aplicado a ia - pl (health data lab)
Mid-level applied AI software developer in Sidia's Health Data Lab (Manaus, on-site): conducts applied AI research, designs experiments with evaluation metrics, ensures reproducibility, and writes papers/patents. Core stack is advanced Python with PyTorch/TensorFlow/Scikit-learn, Git, SQL/NoSQL and ETL pipelines, plus ML/DL, time-series and MLOps knowledge.
Data Engineer
Data Engineer at Planday (part of Xero) in Copenhagen, building production data pipelines that feed agentic AI and ML features for its workforce scheduling and management platform. Core stack includes SQL, Python, Snowflake, dbt, Databricks and cloud infrastructure.
DevOps Engineer (AI) til Forsvarets nye IT-platform
DevOps/MLOps engineer building the Danish Armed Forces' (Forsvaret) new AI/IT platform, working on Kubernetes infrastructure, CI/CD pipelines, and machine-learning operations on-site across Brabrand, Karup J, and Aalborg.



