Machine Learning Engineer

Understanding Recruitment; Nottingham; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading AI solutions provider in Nottingham is seeking a Machine Learning Engineer to design and optimize ML systems that drive impactful decisions in diverse fields. This role involves building scalable pipelines and collaborating with data scientists while working in a hybrid environment. Candidates should have a strong academic background, proficiency in Python and SQL, and the ability to productionize machine learning models.

Benefits

30 Days Holiday

Pension

Flexible Working

Qualifications

• 2+ years’ experience as an ML Engineer or Data Engineer.
• Proficiency in Python and SQL required.
• Experience with cloud platforms and ML frameworks.

Responsibilities

• Design, build, and optimise scalable ML pipelines.
• Deploy and maintain ML models in production.
• Collaborate with data scientists on prototypes.

Skills

Machine Learning

Data Engineering

Python

SQL

Problem Solving

Collaboration

Education

STEM Degree

Computer Science or AI-related field

Tools

PyTorch

TensorFlow

Databricks

MLflow

Job description

Overview

🤖 Machine Learning Engineer – Applied AI for Real-World Impact

Nottingham (Hybrid, 2 days per week)

30 Days Holiday + Pension + Flexible Working

Why join?

This is your chance to engineer AI systems that matter, building and deploying models that shape decisions across healthcare, mobility, and retail. You’ll work with rich, complex datasets and take models from concept to scalable, production-ready solutions that create real-world change.

You’ll join a high-calibre, collaborative team where ownership, experimentation, and learning are encouraged. Expect to work with a modern ML infrastructure, have real influence over how AI gets deployed, and see your work make tangible impact across industries.

What you’ll do

• Design, build, and optimise scalable ML pipelines and data workflows
• Deploy, monitor, and maintain machine learning models in production environments
• Collaborate with data scientists to move research prototypes into production-ready systems
• Automate training, evaluation, and deployment processes for continuous improvement
• Contribute to model explainability, performance tuning, and reliability
• Communicate results and system behaviour clearly to technical and non-technical stakeholders

What we’re looking for

• Strong academic foundation (STEM, Computer Science, or AI-related field)
• ~2+ years’ experience as an ML Engineer, Data Engineer, or Applied ML practitioner
• Proficiency in Python and SQL; experience with cloud platforms, ML frameworks (PyTorch/TensorFlow), and modern data tooling (Databricks, MLflow, etc.)
• Experience productionising ML models and building robust, maintainable pipelines
• A problem-solver with curiosity, creativity, and a passion for delivering scalable AI solutions

Why now?

This is a pivotal time to join a fast-growing AI company born from world-class academic research, now working with major brands like Boots. You’ll help scale intelligent systems that combine research-grade innovation with real-world application, all while contributing to a culture that values curiosity, autonomy, and ethical AI.