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.
Senior MLOps/DataOps engineer builds and maintains scalable data and ML infrastructure for a large e-commerce company, focusing on DWH, Airflow pipelines, and CI/CD automation.
The MLOps Engineer will manage machine learning workflows and infrastructure using tools like Azure ML, AWS SageMaker, MLflow, Docker, and Kubernetes. This is a remote role at a software development company with a 20-year history.
Machine Learning Engineer at NTT DATA in Peru, building and maintaining ML solutions using Python, GitHub Actions, and orchestration tools like Airflow within a large IT services consultancy.
The MLOps Engineer will build and maintain the data infrastructure and automation for an AI team, focusing on offline-capable environments and data pipeline management. The role involves managing Linux servers, containerization, and ML lifecycle tools like MLflow or DVC to support data workflows.
The AI & Data Engineer will design, deploy, and industrialize data and AI solutions, including generative AI models like LLMs and RAG. The role involves building data pipelines and maintaining cloud-based platforms using technologies such as Python, SQL, Spark, and Azure.
Lead Data Engineer at a consulting agency, designing robust data architectures and leading a technical team while advising clients on cloud data platforms, pipelines, and big data technologies.
Ayesa Digital is seeking a Data Scientist and Machine Learning Engineer in Valencia to manage the full data lifecycle, including designing, training, and deploying ML models into production environments.
Citigroup is seeking a Senior Software Engineer to develop full-stack, cloud-native applications using Java or Python and modern JavaScript frameworks. The role involves building scalable systems with potential exposure to generative AI technologies.
Salary: £62,000 - 102,000 per year Requirements: 15+ years of experience in technology, with deep hands-on expertise in generative AI and LLM engineering. Proven experience designing and deploying multi-agent…
Data Governance & AI Consultant delivering governance policies, data quality frameworks, and AI assurance for UK Central Government and Defence programmes, with tools like Microsoft Purview, Azure ML, and Databricks.
Senior ML developer builds and trains computer vision models for image and 3D point-cloud analysis, using Python, PyTorch and OpenCV, and deploys solutions for business clients under an outstaffing model.
The Founding Senior Data Scientist will build and deploy machine learning models for banking products while establishing the company's ML infrastructure, evaluation frameworks, and production standards. The role requires a hybrid practitioner comfortable with both model development and the underlying systems architecture using tools like Python, Snowflake, and Kubernetes.
Lead Data Engineer owning the architecture and development of a Databricks-based data platform for Retail Insight, leading a small team and building scalable data infrastructure using Databricks, Spark, Delta Lake, Python, SQL, and Azure cloud services.
Lead Data Engineer & Solution Architect owning Databricks-first lakehouse platforms, designing ingestion pipelines, and working hands-on with Python, PySpark and SQL on greenfield client projects.
Data Engineer at a Databricks-focused consultancy designing and building modern Lakehouse data platforms using Spark, Delta Lake, and cloud services for enterprise clients across financial services, retail, and the public sector.
Lead the design and development of mission-critical, full-stack applications in a Python-based ML/Ops environment, integrating machine learning models into production systems while collaborating with cross-functional teams.
Design, build, and operate cloud-native data platforms across AWS and Azure using Databricks and Microsoft Fabric, covering the full data lifecycle from ingestion through transformation, modelling, and serving to enable analytics and AI use cases.
Leads end-to-end delivery of enterprise AI/ML systems, including chatbots, agent-based workflows, and cloud-native platforms, using Python, cloud services, and MLOps practices.
Lead a team building enterprise AI/ML systems, from architecture to deployment, including chatbots, agent workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
Principal Fullstack AI/ML Consultant designs, builds, and deploys enterprise-grade AI systems including chatbots, agent-based workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.