Applied ML Engineer — Production ML, Hybrid UK

Sanderson Government and Defence; Cheltenham; Hybrid; GBP 51,000 - 69,000; Full time

Benefits offered by this job

EMI options

Pension scheme

Private healthcare

Group life cover

Parental and sickness leave

Nursery scheme

Volunteer days

Pet friendly office

Job summary

Sanderson Government and Defence is seeking a Machine Learning Engineer to design and build robust ML solutions in a hybrid setup, based in Cheltenham or London. You will work closely with product managers, ML scientists, and software engineers to deliver high-impact ML systems in critical environments.

The role requires a STEM degree and strong Python/Docker/Linux experience, with DV clearance and UK national eligibility being essential.

Qualifications

• Degree in STEM field or equivalent practical experience.
• Proficient Python coding with clean, reproducible, well-tested code for long-term ownership.

Responsibilities

• Design and build prototypes and production-ready ML solutions.
• Collaborate with Product Managers, ML Scientists, and Software Engineers to solve challenges.
• Maintain knowledge of state-of-the-art ML methods and tooling.

Skills

Python

Docker

Linux

CI/CD

MLOps

Cloud platforms

Model serving

NLP

Spark

Kafka

Flask

FastAPI

Streamlit

Plotly

Gradio

DV Clearance

British National (UK)

Education

Degree in Computer Science, Applied Mathematics, Statistics, Physics, or related STEM field

Tools

Docker

Linux

CI/CD

MLOps

Cloud platforms

FastAPI

Flask

Kafka

Spark

Streamlit

Job description

Sanderson Government and Defence is seeking a Machine Learning Engineer to design and build robust ML solutions in a hybrid setup, based in Cheltenham or London. You will work closely with product managers, ML scientists, and software engineers to deliver high-impact ML systems in critical environments.

The role requires a STEM degree and strong Python/Docker/Linux experience, with DV clearance and UK national eligibility being essential.