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ML engineer on Orange Business's Dutch Data & AI consulting team, turning client business problems into AI use cases and building production-ready GenAI applications (LLMs, RAG, agents) integrated with existing data, APIs, and cloud architectures.
Senior ML Engineer who designs and implements data processing pipelines, develops ML solutions, and deploys models to production. Day-to-day work centers on Python, cloud services, databases, and DevOps practices within modern data initiatives and a team-oriented culture.
ML engineer who designs and builds data pipelines and machine learning solutions and operates ML models in production. Requires 5+ years of Python, cloud (Azure/AWS/GCP), Docker/Kubernetes, relational/NoSQL databases, and fluent Dutch; based in the Netherlands.
ML Engineer (R&D) building and integrating ML solutions for a classifieds platform: image content moderation (detection, segmentation, classification), key information extraction from listings, item scoring/valuation, and online recommender systems. Core stack: Python, PyTorch (ONNX/TensorRT), Docker, Kubernetes, Airflow, SQL/NoSQL.
Farsight Vision, an Estonian-Ukrainian defence-tech startup building AI-powered geospatial intelligence, is hiring an engineer to own motion control for unmanned ground vehicles end-to-end — designing, simulating, tuning, and validating control algorithms (PID and beyond) on real hardware in Lviv. Core stack: C++, Python, control theory, physics simulators, IMU/LiDAR, and state estimation.
A senior engineer in Brazil who builds and operates a globally deployed recommender system, focusing on MLOps: AWS/SageMaker deployments, GitLab CI/CD, MLflow experiment tracking, Python pipelines, and observability. Also mentors data scientists and engineers and shapes the ML platform's architecture.
Sarvam AI is hiring AI/ML and foundational models engineers for mostly full-time, on-site roles across its Bengaluru and Delhi offices. Day-to-day work centers on building AI/ML and foundational model technology.
Build and deploy production-grade ML software, tools, and infrastructure for Faculty AI's National Security and AI Safety clients, acting as a technical advisor and shaping how ML is deployed at scale. Core stack: Python, Scikit-learn/TensorFlow/PyTorch, cloud (AWS/Azure/GCP), Docker and Kubernetes; London-based with possible UK DV clearance.
EWOR is launching cutting-edge new initiatives, and we are looking for exceptional operators and builders to join our new department. We are backed and led by serial entrepreneurs, including Paul Müller (founder of…
Mid/senior Machine Learning/MLOps engineer position at RITS Group, an IT services company delivering software development services to Polish and international clients. The posting gives no day-to-day detail beyond the title; the role centers on ML and MLOps engineering.
Designs and builds a cold-start Bayesian knowledge-tracing engine that maps learner competencies to next steps, using probabilistic models and LLM pipelines to process unstructured data.
A customer-facing Google Cloud engineer who helps strategic clients adopt Google Cloud's machine learning products — designing and implementing ML solutions, troubleshooting deployments, and running workshops, with up to 20% travel to customer sites. Core skills span ML/big data, Python/Java/Go/C++ coding, and the Google Cloud Platform.
Develop real-time object detection and tracking models for UAV aerial video, optimizing inference pipelines for edge hardware like NVIDIA Jetson.
Build and deploy AI agents that analyze client meeting transcripts, interact with external systems, and provide recommendations to managers using NLP models, FastAPI microservices, and Kafka pipelines.
Machine Learning Engineer at Reaktor in Helsinki, turning proofs of concept into production-grade AI services: building, deploying, and maintaining ML models for clients, plus general software development. Core stack includes Python, cloud platforms (AWS/Azure/GCP), infrastructure-as-code (Terraform/CloudFormation/CDK), and SQL.
Senior ML Engineer builds and fine-tunes LLM-based agents and RAG pipelines for cybersecurity vulnerability detection, deploying on-prem models and optimizing MLOps/LLMOps workflows.
Machine Learning Engineer at Джетлин develops AI assistants and functional agents as PoCs within an AI incubator: NLP/LLM work with RAG, function calling, BERT-like models and quantization, deployed on GPU infrastructure. Core stack: Python, Kubernetes, Airflow, Redis, MLflow, KServe, Prometheus/Grafana.
Senior ML engineer for Okko's Search team — the main driver of traffic to the streaming service's titles. Day to day: NLP and ranking work, deploying ML models and neural networks to production, optimizing inference, and running A/B experiments. Core stack: Python, SQL.
What you will do As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing…
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