Machine Learning Software Engineer (Applied AI / Scientific Computing)

Ion recruitment
Guildford, Surrey, United Kingdom
3 weeks ago
£65,000 – £80,000 pa
Applications closed

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Salary

£65,000 – £80,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
27 Apr 2026 (3 weeks ago)

Benefits

Bonus Unrivalled benefits

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.

#MachineLearning #ArtificialIntelligence #AIEngineering #MLOps #Python #DataScience #ScientificComputing #SoftwareEngineering #AppliedAI #EngineeringSoftware #GPUComputing #UKTechJobs #Hiring

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