Ion Recruitment

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.