AI/ML & Systems Engineer — Build Core Predictive Platform

AKA Recruitment; Cambridge; Hybrid; GBP 89,000 - 100,000; Full time

Job summary

A Cambridge-based AI startup is seeking an AI/ML & Systems Engineer on a full-time basis. The role focuses on building core ML and data architecture for probabilistic forecasting, sensor data integration, and geospatial-informed models.

You will work closely with the founder to shape the platform from ground up, tackling challenging problems with scarce data and real-time signals in an agile, deliverable-driven environment.

Qualifications

• Strong Python experience for data pipelines.
• Experience with probabilistic time-series forecasting (Bayesian methods, PyMC or similar).
• Experience with small or scarce datasets for distribution prediction.
• Proven ability to build data pipelines / database architectures using PostgreSQL, PostGIS, Redis or time-series DBs.
• Knowledge in vibration analysis or DSP is a plus.
• Knowledge of physics-informed models or neural networks.
• Experience in an Agile, sprint-based environment.

Skills

Python

Probabilistic forecasting

Small datasets

Data pipelines

Agile

Redis

PostGIS

PostgreSQL

DSP

Vibration analysis

Physics-informed ML

Tools

PostgreSQL

PostGIS

Redis

Job description

A Cambridge-based AI startup is seeking an AI/ML & Systems Engineer on a full-time basis. The role focuses on building core ML and data architecture for probabilistic forecasting, sensor data integration, and geospatial-informed models.

You will work closely with the founder to shape the platform from ground up, tackling challenging problems with scarce data and real-time signals in an agile, deliverable-driven environment.