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.
Lead a config-driven data platform that ingests, transforms, and delivers paid-media data from 26+ ad platforms into BigQuery using dbt, Python, and GCP.
Lead a team building and maintaining Java-based biometric systems for a UK public-sector program, using Spring Boot, microservices, AWS, and Docker.
Lead a team building and maintaining scalable data pipelines using AWS (S3, Athena, Redshift, Glue) and Python/Java to integrate diverse data sources for government analytics and reporting.
Senior front-end engineer building scalable, high-performance web interfaces with Angular/React and Micro Frontends, optimizing UI/UX and mentoring peers.
Builds and maintains AWS-based recruitment software using Java/Kotlin, Node.js, and TypeScript, with DynamoDB, OpenSearch, and serverless services.
Build and maintain data pipelines powering AI-driven SaaS security products, integrating with cloud services and APIs to detect threats and manage risks in enterprise environments.
Lead a team to build and maintain a large AWS-based data platform, designing scalable pipelines and setting engineering standards for batch and streaming data workflows.
Design and build high-performance big data applications in AWS and Databricks, processing large datasets in batch and real-time for clients across industries.
Lead a team of data engineers to design and deploy cloud-native data pipelines and warehouses, migrating IAG Cargo from on-premise to AWS and Snowflake.
Lead a team of data engineers to build and maintain Zoopla’s scalable data platform using Python, SQL, AWS, Redshift, Databricks, and Airflow.
Architect and build scalable, high-performance front-end interfaces using Angular/React and Micro Frontends, optimizing performance and accessibility for complex web platforms.
Lead the design, build and operation of a large-scale AWS data platform using Redshift, Glue, Lambda and Kinesis to deliver reliable analytics and insights for the UK rail industry.
Lead a cloud data platform team, designing scalable pipelines and warehouses in AWS, setting engineering standards, and mentoring engineers to deliver high-performance data solutions.
Build and maintain full-stack web apps using React/Next.js, Node.js, TypeScript, and AWS; collaborate in a small team to ship features and explore AI integrations.
Build and maintain AWS-based data pipelines that parse telecom network metrics, convert to Parquet/Iceberg, and stream into Redshift/ClickHouse using PySpark, Lambda, MSK, and Step Functions.
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Build and maintain Python-based risk engines for market, clearing, counterparty and operational risk using Pandas, NumPy and cloud tech; integrate post-acquisition systems and explore Agentic AI for code generation.
Build and maintain enterprise-grade Python ETL pipelines and data-processing apps using Pandas, Polars, SQL, and AWS S3 for a trading-focused client.
Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
Build and scale cloud-native back-end services in Python (FastAPI/Flask) on AWS, using Terraform for IaC and CI/CD pipelines.
We couldn't check your fit for this role — add a CV to your profile to see it next time.