Machine Learning Software Engineer (Applied AI / Scientific Computing)

Machine Learning Engineer Software 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.