Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and optimize synthetic-data pipelines for large language models, collaborating with ML teams to ensure high-quality training data.
Senior ML Engineer builds and maintains data pipelines and ML models in production for a French insurer, owning the full MVP lifecycle from ideation to deployment.
Build and maintain scalable data pipelines and cloud infrastructure for AI/ML workloads using Kubernetes, Docker, and monitoring tools.
Build and optimize NLP pipelines and LLM-based workflows for data ingestion and agentic AI systems using Python, RAG, and knowledge graphs.
Build backend Python services for an AI-focused software house, collaborating with product owners and engineers to deliver scalable solutions.
Build and ship production AI-enabled Python backend services, APIs, and LLM-driven workflows in a Kubernetes environment for a large-scale enterprise platform.
Leads the design and optimization of AI/ML infrastructure on AWS and Azure, focusing on scalability, reliability, and automation for cloud-based platforms.
Build and scale cloud infrastructure for AI/ML products, owning CI/CD, security, and observability across AWS/GCP/Azure while collaborating with engineering and data science teams.
Build and maintain the Kubernetes-based AI/ML infrastructure that powers Tripledot’s gaming products, ensuring scalable, secure, and high-performance systems for millions of players.
Build and maintain the CI/CD and infrastructure for a centralized AI-SDLC platform, ensuring scalable, secure, and reliable multi-tenant AI workloads meet enterprise SLAs.
Senior DevOps Engineer builds and scales Roku’s cloud-agnostic platform using Kubernetes, Istio, and observability tools, ensuring reliability and global scalability for streaming infrastructure.
Freelance role designing STEM-based computational problems in Python to train and evaluate Generative AI models, using libraries like numpy and pandas.
Build and optimize machine learning models and AI solutions using Python and ML libraries in a remote UK role for entry-level engineers.
Design and implement advanced ML models to improve delivery and customer experience using Python, TensorFlow/PyTorch, and cloud platforms.
Build AI-powered robotic perception systems for industrial welding using deep learning, sensor fusion, and 3D computer vision to automate manufacturing workflows.
Builds React.js frontends for AI/ML products, contributes to open-source, and collaborates with global teams across diverse projects.
Build and maintain scalable data pipelines and data products on GCP using Dataflow/Apache Beam, Spark, and BigQuery to power AI/ML user experiences.
Builds and deploys Python-based AI/ML features, designs APIs, and mentors junior engineers using TensorFlow and Docker.
Build and evaluate AI coding agents that automate complex ML/AI engineering tasks using frontier models.
Build and optimize AI-driven simulation models for engineering and manufacturing, scaling deep learning and distributed training across cloud and on-premise systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.