Remote AI/ML Systems Engineer - End-to-End Pipelines

Logix Resourcing; Cambridge; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Logix Resourcing, Cambridge, is seeking an AI & ML Systems Engineer to lead architecture, ML development and cloud integration for an asset monitoring and predictive platform. The role involves end-to-end ownership of scalable ML systems, from data ingestion to production dashboards, with a strong emphasis on real-time visualization and multi-source data integration.

The position offers mainly remote work with one on-site day per week in Cambridge, and remuneration is commensurate with

Qualifications

• Probabilistic time series forecasting on small datasets.
• Data Lake & DBaaS integration using PostgreSQL with PostGIS.
• RESTful APIs and WebSocket pipelines for streaming data.
• Cloud platforms (AWS/Azure/GCP) and Docker for containerised ML apps.
• Git, GitHub Actions or GitLab CI for automated testing and CI/CD.
• Agile, sprint-based delivery experience.

Responsibilities

• Lead architecture, ML development, and cloud integration for a next-generation asset monitoring and predictive platform.
• Build robust data and ML pipelines, integrating multi-source sensor streams.
• Develop real-time visualization systems to deliver actionable structural safety insights.
• Take end-to-end ownership of scalable ML systems from data ingestion to production dashboards.

Skills

Probabilistic forecasting

Time series analysis

Data integration

API design

Agile methods

CI/CD

Tools

PostgreSQL

PostGIS

Redis

Docker

FastAPI

Flask

GitHub Actions

Git

WebSocket

Job description

Logix Resourcing, Cambridge, is seeking an AI & ML Systems Engineer to lead architecture, ML development and cloud integration for an asset monitoring and predictive platform. The role involves end-to-end ownership of scalable ML systems, from data ingestion to production dashboards, with a strong emphasis on real-time visualization and multi-source data integration.

The position offers mainly remote work with one on-site day per week in Cambridge, and remuneration is commensurate with