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# Machine Learning Engineer

- **Company:** Morela Books
- **Location:** United States
- **Experience:** Starter
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, NumPy, SciPy, Signal Processing, Large Language Models, Git, SC Clearance, Production Code, Modeling and Simulation, Docker
- **Published:** August 25, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/661F4067524710D954

## About the Role

? Evidence you can build things. Code you have written yourself that someone else has run.

? Fluent scientific Python, particularly NumPy and SciPy.

? Proper engineering habits, testing your own work and using Git in a team.

? Enough mathematical grounding for the domain, from a physics, maths, engineering or statistics background, or from modelling and simulation work picked up elsewhere.

? Active SC clearance.

Useful but not essential: Docker, optimisation, time-series or signal processing, and any prior work in defence, government or another regulated environment.

## Description

A venture-backed UK AI business working in regulated and security-sensitive sectors is standing up a brand new modelling and optimisation capability, and needs a junior engineer to help build it.

You will spend your time writing code. The domain is physics-based performance modelling rather than LLM work, but the job is engineering: getting models out of notebooks and into something that runs reliably in production, alongside senior engineers who have done this before.

What You Will Be Doing

? Writing production code and taking models from prototype to running reliably against real data.

? Building and testing the pipelines and tooling the models run on.

? Building the ingestion and processing for physical, environmental and sensor data.

? Implementing the optimisation that turns model outputs into decisions.

? Benchmarking and validating your own work, since the outputs get independently checked.


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