Machine Learning Engineer (Applied AI / Scientific Computing)

Company

Ion recruitment

Location

Surrey, UK (Office based)

Overview

A global software company is evolving its core engineering platforms by embedding machine learning and applied AI into high‑performance simulation and modelling tools used worldwide.

This is a hands‑on applied AI role — focused on building and deploying ML solutions inside production‑grade engineering systems, not isolated research or experimental prototypes.

Responsibilities

• Create, deploy, and maintain machine learning models in production engineering software systems.
• Own the full ML pipeline: data preparation, feature engineering, training, evaluation, and optimisation.
• Translate complex scientific/engineering problems into ML‑driven solutions.
• Improve model performance in compute‑intensive environments.
• Write clean, testable, maintainable production code.
• Integrate ML services via APIs and software components.
• Collaborate with engineers and domain specialists on real‑world systems.

Required Experience and Skills

• Strong Python programming and software engineering fundamentals.
• Proven experience applying machine learning to real‑world datasets and problems.
• Understanding of model trade‑offs, performance, and production constraints.
• Experience working with complex or imperfect data.
• Ability to write efficient, scalable, production‑quality code.
• Senior level (5+ years of experience).

Desired Experience

• PyTorch, TensorFlow, or similar ML frameworks.
• Scientific computing, numerical methods, optimisation.
• GPU acceleration or high‑performance computing.
• MLOps, model deployment, APIs, or production pipelines.

Benefits

• Focus on applied AI in real engineering systems.
• Work on technically challenging, high‑impact problems.
• Close collaboration with experienced engineers and domain experts.
• Influence how AI is embedded into core global software products.
• Long‑term technical depth, not short‑cycle ML experimentation.