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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.
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…
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…
Engineering manager leading a team of software engineers building scheduling infrastructure for ML training and inference across Alphabet (DeepMind, Search, YouTube, Ads, Waymo). Day to day: managing engineers, setting technical vision and roadmaps, vetting system designs, and contributing code to large-scale ML and distributed infrastructure.
Tieto Tech Consulting har lenge levert data- og AI-løsninger til virksomheter i Norge og internasjonalt, med et dataingeniørmiljø på over 80 fagpersoner. Nå bygger vi et nytt, spesialisert team innenfor dette miljøet,…
Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in…
An AI/ML engineer who leads 0-to-1 sustainability initiatives at EWOR's new department, translating strategic vision into execution roadmaps and architecting scalable solutions from prototype to production. Core focus is AI/ML engineering with extreme end-to-end ownership, 100% remote.
Senior ML engineer to take architectural ownership of an open-source speech-to-speech library and a voice-agent developer platform: integrating ASR/TTS and end-to-end speech models, designing developer APIs and streaming protocols (WebSockets/WebRTC), and running realtime GPU inference infrastructure, largely with async Python.
Fully remote AI/ML engineer at EWOR to lead 0-to-1 sustainability initiatives in a new venture-backed department — translating strategy into execution roadmaps and architecting scalable ML solutions from prototype to production. Open to candidates based in Europe or the Americas, with equity upside.
Fully remote AI/ML engineer joining EWOR's new B2B department: lead 0-to-1 initiatives, architect scalable AI/ML systems, and drive prototypes to production with full end-to-end ownership in a startup-studio-style environment. Requires being based in Europe or the Americas and fluent English.
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