Senior Machine Learning Software Engineer (ML/AI)

Senior Machine Learning Software Engineer (software integration)

Location: Surrey, UK (Office-based)

The package: A highly competitive salary + Bonus + Excellent Benefits Package

Our client, a global leader in engineering simulation and modelling software is significantly expanding its Applied AI capabilities. We are integrating machine learning and AI directly into our core high-performance engineering platforms used by engineers and scientists worldwide.

This is a hands-on, senior-level role focused on designing, building, and deploying production-grade ML solutions within complex, performance-critical commercial software products — not research prototypes or isolated experiments.

The Role

As a Senior Machine Learning Software Engineer, you will play a key role in embedding intelligent capabilities into our flagship engineering tools. You will work at the intersection of advanced machine learning, high-performance software engineering, and domain-specific scientific computing.

You will take ownership of ML initiatives from concept through to production deployment, ensuring models deliver measurable performance improvements while meeting strict engineering standards for reliability, efficiency, and scalability.

Key Responsibilities

• Design, implement, and deploy robust ML models into production engineering software systems
• Own the end-to-end ML lifecycle: data strategy, feature engineering, model development, optimisation, validation, and monitoring
• Translate complex scientific and engineering challenges into high-impact ML solutions
• Optimise models for speed, memory efficiency, and scalability in compute-intensive environments
• Write clean, efficient, testable, and maintainable production-quality code (primarily in C++ and Python)
• Integrate ML capabilities seamlessly into existing large-scale software architectures via APIs, libraries, and microservices
• Collaborate closely with software engineers, numerical analysts, and domain experts to deliver commercially valuable features
• Continuously improve model performance and robustness when working with real-world, noisy, or high-dimensional engineering data

Essential Experience

• Strong commercial software engineering background with excellent C++ and Python skills
• Proven track record of successfully applying machine learning to real-world, complex problems in a production environment
• Significant experience developing and deploying ML models within large-scale software systems
• Deep understanding of model trade-offs (accuracy vs. speed vs. memory vs.
• Experience working with challenging, real-world datasets — including noisy, sparse, or domain-specific engineering data
• Strong ability to write high-quality, scalable, and production-ready code

Desirable Experience

• Hands-on expertise with modern ML frameworks (PyTorch, TensorFlow, or JAX)
• Background in scientific computing, numerical methods, finite element analysis, or optimisation techniques
• Experience with GPU acceleration (CUDA), parallel computing, or high-performance computing (HPC)
• Practical knowledge of MLOps, model serving, CI/CD for ML, and production deployment pipelines
• Experience integrating ML components into existing commercial C++ codebases
• Familiarity with engineering simulation, physics-based modelling, or CAE tools

The great aspects of this role

• Work on genuinely challenging technical problems where ML directly enhances industry-leading engineering software
• High degree of ownership and visible impact on products used globally
• Collaborate with talented, experienced engineers and subject matter experts
• Opportunity to shape how Applied AI is embedded into core commercial platforms for years to come
• Technically deep, long-horizon work — far from short-term experimental ML projects
• Excellent compensation, benefits, and career development opportunities

This is an outstanding opportunity for a seasoned ML Software Engineer who enjoys solving hard engineering problems and delivering production AI capabilities that matter.

Please apply on Linked in or email me directly: ***email_hidden***

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