Machine Learning Engineer

5Vtech — United Kingdom · Posted ~3 hours ago

Senior Contract Hybrid

Skills

Machine Learning Probabilistic Time Series Forecasting Bayesian methods PyMC Amazon DeepAR Data pipelines Cloud integration Time-series data Python Cloud platforms

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Summary ✨ AI‑Generated

A versatile AI/ML engineering role focused on designing predictive systems, building data pipelines, integrating complex data sources, and delivering intelligent analytics solutions from prototype to deployment.

Highlights

End-to-end ownership of an advanced AI platform prototype, combining machine learning, data engineering, cloud systems, and real-time analytics in a technically challenging environment.

Description

AI/ML ENGINEER Cambridge / Hybrid (UK only) 6-month contract | PAYE Rates, Negotiable An exciting opportunity for a versatile AI/ML & Systems Engineer to lead the architecture, machine learning development and cloud integration of a prototype asset monitoring and risk prediction platform. You'll bridge the gap between complex time-series telemetry, geospatial data feeds and predictive domain models, building the data and ML pipelines, integrating multi-source sensor streams, and developing real-time visualisation that turns raw data into actionable structural safety insights. This is a genuine end-to-end ownership role on a high-value prototype, from multi-modal data and distribution modelling through to interactive, real-time dashboards. Must-have Probabilistic Time Series Forecasting: Hands-on experience with probabilistic methods (e.g. Bayesian approaches, PyMC, Amazon DeepAR), ideally applied to small or scarce datasets for distribution predictionData Pipelines & Database Architecture: Proven ability to build scalable pipelines using Python, PostgreSQL (with PostGIS for spatial data), Redis or time-series databasesAgile Delivery: A track record of working in sprint-based environments to hit demanding technical milestones At least one of the following: Vibration Analysis / DSP: Experience with vibration analysis, digital signal or waveform processingPhysics-Informed Models: Experience combining data-driven sequence modelling with physical laws Good-to-have Frontend visualisation frameworks (React, Grafana or Plotly/Dash) for real-time data, geospatial heatmaps and analytical dashboardsCloud platforms (AWS, Azure or GCP) and Docker for containerising ML applications and microservicesAPI and middleware development: RESTful APIs and WebSocket pipelines (FastAPI, Flask) for low-latency data streaming and alert triggersVersion control and CI/CD: Git, GitHub Actions or GitLab CI for automated testing and systematic releases Interested? Apply now! 5V Tech are acting as an Employment Business for the purposes of this job vacancy. We offer a reward scheme if you can recommend someone for this position, up to £250 for you and an additional £250 to a charity of your choice, 5V Tech are recognised talent solutions experts within Video and Broadcast Technology working across Europe, the UK and North America.