develop, and deploy applications using Google Cloud Functions (Python or Node.js). Implement and optimize data pipelines using Google Cloud Dataflow. Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL). Handle file operations and trigger-based workflows using Google Cloud Storage. Configure and manage access controls using Google Cloud IAM (service accounts and permissions). Integrate and More ❯
demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins, GitHub Actions), and Infrastructure as Code (Terraform). Qualifications Bachelor's or More ❯
collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage. Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure. Lead data engineering efforts to support analytics and product enhancements. Who You More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Anecdote
Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework ( ADK preferred ). Proven track record shipping AI agents and building RAG pipelines. LLM + More ❯
using tools like Selenium , Apache JMeter , or Python scripts. Ensure compliance with data privacy and security standards . Required Skills: Strong knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Familiarity with data warehousing concepts. Understanding of database design , normalization , and indexing . Experience with test management tools (e.g., JIRA, TestRail). Knowledge of automation frameworks More ❯
edge AI/ML initiatives. What You'll Do Build automation and AI/ML systems (Agentic, RAG, MCP). Develop front-end (React, JS) and back-end (Python, Postgres, APIs). Drive code reviews, ensure quality, and mentor others. Implement CI/CD pipelines, monitor performance, and troubleshoot. Collaborate with Product & Engineering to deliver high-impact features. What We … re Looking For 10+ years in Python systems/automation; 5+ years in technical leadership. Strong React, JavaScript, and Postgres skills. Hands-on with Selenium, iOS automation, and full project lifecycle testing. Experience in AI/ML pipelines, multi-agent systems, and data workflows. Solid DevOps background (Jenkins, CI/CD, monitoring). Handle actively welcomes applicants from under-represented More ❯
Theale, Berkshire, United Kingdom Hybrid / WFH Options
Applause IT Recruitment Ltd
ready digital infrastructure. What You'll Be Doing: Leading data migration and ETL projects for UK public sector software implementations Analysing and mapping legacy database schemas (Oracle, SQL Server, Postgres) Extracting raw data from legacy systems, often with limited documentation Writing and executing SQL scripts and/or using ETL tools to build data pipelines Creating transformation logic and performing … What You'll Need: Strong ETL experience in data migrations or software transitions Expert-level SQL scripting for transformation and manipulation Hands-on knowledge of Oracle, SQL Server, or PostgreSQL Excellent communication skills for working with technical and non-technical stakeholders Problem-solving mindset when facing incomplete or messy data A consulting approach - proactive, collaborative, and detail-driven Nice to More ❯
