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.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
Build and deploy scalable ML and GenAI solutions at Amgen, turning prototypes into production-ready services using Python, cloud platforms, MLOps and containerization.
The Technical Architect will design and implement scalable, fault-tolerant AI systems on Google Cloud, bridging the gap between research and production. The role involves leading MLOps lifecycles, defining compute strategies for AI workloads, and mentoring teams to build resilient, cloud-native architectures.
New Permanent Opportunity for a DV Cleared Senior Data Scientist in Cheltenham for a leading National Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3…
You engineer production-grade ML systems for rail-inspection data, turning prototypes into reliable, scheduled pipelines and APIs that run on AWS and handle years of sensor data.
Senior ML engineer builds and deploys real-time fraud detection models using Python, PyTorch, and Spark to protect Affirm’s buy-now-pay-later transactions.
Build and maintain cloud-native AI infrastructure, CI/CD pipelines, and MLOps tooling to deploy AI models to production, using AI-assisted coding tools.
Design and automate ML pipelines using Python, MLflow, and cloud-native DevOps tools to deploy, monitor, and scale machine learning models in production.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Research Engineer building and training large language models from scratch for coding tasks, deploying them into production to power JetBrains' AI platform.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
The Senior AI Engineer will design and deliver enterprise AI solutions for the banking sector, focusing on the full ML lifecycle, LLM integration, and MLOps. The role involves collaborating with cross-functional teams to build scalable, secure, and compliant AI systems using Python, cloud platforms, and modern orchestration frameworks.
Develops and maintains AI/ML pipelines, automates data workflows, and ensures scalable model deployment using cloud platforms and MLOps tools like MLflow/Kubeflow.
Builds and optimizes large-scale data pipelines and processing systems using Apache Spark, Hadoop, and cloud platforms to enable data-driven insights and analytics for the company’s operations.
At Stingray, creativity, collaboration, andcutting-edgetechnology are the pillars of our DNA. Are you ready to watch your career take off by joining a fast-growing company with a team of tech-savvy music lovers and a…
The Software Developer (Applied AI) designs, builds, and deploys LLM-integrated applications and agentic AI tools to automate workflows and support internal departments. The role requires strong Python expertise, experience with containerization, and the ability to architect scalable systems.
Builds and deploys AI/ML pipelines and data infrastructure for DHL’s global logistics operations, using cloud (Azure/GCP) and on-prem tools like Spark, Kafka, and Kubeflow to process petabytes of transactional data into predictive models and analytics.
Salary: £40,000 - 55,000 per year Requirements: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines,…
Optimizes and scales cloud-based ML training/inference infrastructure, automates pipelines, and ensures model reproducibility for Pathway’s post-transformer AI models.
Build and optimize Conga’s AI/GenAI platform, designing scalable systems in Python/FastAPI, deploying models via MLOps, and mentoring engineers to power enterprise contract and revenue solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.