Overview
Machine Learning Engineer (Applied AI / Scientific Computing)
Location: Surrey, UK (Office based)
Details: Full-Time | Truly competitive salary + Bonus + unrivalled benefits
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.
The position:
You’ll design, build, and deploy machine learning models that directly enhance complex engineering software products. Expect a blend of ML engineering, software development, and computational problem solving.
You’ll work across the full ML lifecycle, ensuring models are not only accurate, but efficient, scalable, and production-ready.
Key Responsibilities:
Build and deploy ML models into production engineering software systems
Own the full ML pipeline: data prep, feature engineering, training, evaluation, 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
Experience required:
Strong Python programming and software engineering fundamentals
Proven experience applying ML to real-world datasets and problems
Understanding of model trade-offs, performance, and production constraints
Experience working with complex or imperfect data (not just curated datasets)
Ability to write efficient, scalable, production-quality code
Desirable 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
What’s great about this position:
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
Please sind a copy of your CV to apply or call us for an informal chat. Thanks.
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Company:
Ion recruitment
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
