738 ML Platform Engineer jobs
Open roles building the cloud platforms ML models are trained and served on.
Principal AI Engineer
Senior technical leader who designs and scales enterprise AI/ML systems for Manhattan Associates' supply chain commerce software: leading development and production deployment of ML, deep learning, and generative AI models, mentoring engineers, and driving AI strategy. Core stack is Python (TensorFlow, PyTorch, Hugging Face), Airflow/Spark data pipelines, AWS/GCP/Azure with Docker/Kubernetes, and
Senior AI Engineer
Senior AI Engineer at Velsera (PierianDx) in Pune, India, training, fine-tuning, and deploying LLMs and building RAG pipelines and AI/ML infrastructure on cloud platforms. Core stack: Python, PyTorch/TensorFlow/Hugging Face, vector databases, Docker/Kubernetes, and MLOps tools like MLflow.
Senior AI Engineer
Engineer on Centific's Physical AI team, building, fine-tuning, and deploying production AI systems spanning vision, video, multimodal, and agentic/robotics use cases. Core stack: Python, PyTorch/TensorFlow/JAX, NVIDIA NeMo/Riva/RAPIDS/Triton, AWS Bedrock, and GCP Vertex AI.
Software Engineer (Machine learning & Recommendation)
Machine learning engineer at Mercari's India Center of Excellence developing and maintaining recommender systems for its C2C marketplace app — building end-to-end ML solutions from experimentation to deployment, operating them on cloud/Kubernetes, and running data analysis and A/B testing at large scale.
Staff Machine Learning Engineer
Hands-on staff-level ML lead at Kikoff, a consumer credit fintech: owns the ML platform and modeling roadmap end to end, spanning underwriting, fraud/risk, and personalization. Day to day: architecting feature stores, training/serving pipelines, and model governance, while personally leading credit underwriting models in Python.
Senior Machine Learning Engineer
Senior ML Engineer on Nu Colombia's team, building forecasting and marketing-investment models end to end — framing business problems, engineering features, training and validating models, and deploying/monitoring them in production. Core stack: Python, SQL, ML libraries (scikit-learn, PyTorch, TensorFlow, XGBoost), with deployments to AWS and Kubernetes.
Senior AI Inference Engineer (LLM & Speech Models)
A hands-on senior engineer who designs, builds, and optimizes Recho's inference framework for speech models (ASR/TTS/speech-to-speech) and LLMs, owning throughput and GPU cost. Day to day: tuning vLLM/SGLang inference, dynamic batching for variable-length audio, async pipelines, and GPU orchestration with Kubernetes, Slurm, and Ray using Python and PyTorch.
(Senior) Machine Learning Engineer
The ML Engineer will productionize NLP, audio, and document models for the Orcrist Intelligence Platform using Kubernetes, Triton, and KServe. The role involves building evaluation pipelines, managing inference infrastructure, and collaborating with research teams to deploy models for defense and enterprise clients.
Dubai ML Engineer (MLOps): Production Pipelines
Connect Tech+Talent is hiring an ML Engineer (MLOps) in Dubai to take machine-learning models from PoC to production across edge and cloud environments, owning deployment, monitoring, and optimization. The stack centers on PyTorch, Docker, Kubernetes, and cloud platforms.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at Kikoff, a San Francisco consumer fintech, building and running ML infrastructure and underwriting models for its credit-building and cash-advance products. Day to day: data pipelines, deploying and monitoring production ML models, A/B testing, and mentoring, using Python, TensorFlow/PyTorch, AWS/GCP, Docker, and Kubernetes.
Senior Machine Learning Engineer
Senior ML Engineer on JioHotstar's Viewer Experience team, owning the end-to-end ML lifecycle for the recommendation engine that personalizes the home page for millions of users in real time. Day-to-day work spans big-data and stream processing (Spark, Flink, Kafka), ML serving (TensorFlow), low-latency caching/storage, and MLOps for production deployment.
Cloud Engineer (AI/ML Platform | GCP)
MAIN REQUIREMENTS: Hands of experience in GCP (hands-on in setup and ground-up cloud projects), AWS, Machine Learning Experience with GitLab for source code management (plus familiarity with JFrog and Argo) Skilled in…
Machine Learning Operations Engineer I
MLOps engineer on Kensho's ML platform team (S&P Global's AI hub) building internal tooling and infrastructure for fine-tuning, evaluating, and monitoring LLM/agent applications in production. Core stack: Python, Kubernetes/EKS on AWS, Ray, Airflow, Terraform.
Machine Learning Engineer - Remote Role
About the Role We are seeking an experienced Machine Learning Engineer with at least 5 years of professional experience to design, build, deploy, and optimize machine learning systems and AI-powered applications in an…
Senior Machine Learning Engineer
Senior Machine Learning Engineer Location: Ireland (Remote-Friendly / Occasional Dublin Office Visits) Salary: €120,000 - €130,000+ DOE Employment Type: Permanent Industry: Cybersecurity / AI / Predictive Analytics The…
Machine Learning Operations Engineer (MLOps)
Builds and runs production infrastructure for agentic AI: deploying multi-agent pipelines (LangGraph, CrewAI, n8n) on GCP or AWS, automating CI/CD and continuous training with Docker/Kubernetes/Terraform, monitoring model drift and performance, and enforcing security and AI governance. 100% remote contractor role based in Latin America collaborating with US teams.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at Global's central Data Science team in Holborn, London, productionising data scientists' models into robust, scalable systems for audience targeting, advertising measurement and content intelligence. Core stack: Python/PyTorch, AWS (SageMaker), Snowflake, Spark/Databricks, Kubernetes, Docker/MLflow.