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Machine Learning Software Engineer (Applied AI / Scientific Computing)
Job Posted: 4 days ago
Salary: £ 65,000 - 80,000 / Annum
Job Type: Permanent
Location: Guildford, Surrey
Expire in: 23 days
Job Description
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.
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