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# Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python |C++| London, Hybrid

- **Company:** Enigma
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, C++ (Programming Language), Compilers, Program Optimization, Nvidia CUDA, Python (Programming Language), Machine Learning, OpenCL, Deep Learning, Kubernetes, Machine Learning Operations, TensorRT
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840619030-senior-machine-learning-engineer--computer-vision--deep-learning--python-c-london-hybrid

## About the Role

* Strong experience with C++ and Python.
 * Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS.
 * Demonstrated success in building and maintaining production-scale AI/ML systems.
 * A track record of collaborating with product teams to deliver user-impactful solutions.

Preferred Qualifications

 * Experience using AI/ML in the sports domain to create insights or data.
 * Advanced systems knowledge, such as:
 * Developing GPU kernels or ML compilers (e.g., CUDA, OpenCL, TensorRT Plugins, MLIR, TVM).
 * System optimization for latency and utilization, using tools like Nvidia NSight.
 * Working with embedded SoCs (e.g., Nvidia, Qualcomm).

## Description

* ML at Scale: Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events.
 * Project Leadership: Take ownership of major initiatives that drive value for users and the business, aligning with quarterly team objectives.
 * Collaborative Development: Work cross-functionally with product and engineering teams to deliver high-quality results through incremental improvements.
 * ML Lifecycle Optimization: Enhance team capabilities across the entire ML lifecycle, including data annotation, model training, deployment, and monitoring., * Flexibility and Balance: A range of benefits to support work-life harmony, including flexible vacation policies, company holidays, and meeting-free days.
 * Autonomy and Ownership: A culture of trust and support that allows you to own your work and explore new ideas.
 * Career Growth: Access to development opportunities, resources, and learning programs.
 * Tech-Enabled Work: Whether remote or on-site, we provide the tools and environment you need to thrive.
 * Wellbeing Support: Resources to support your mental, physical, and financial wellbeing, including access to assistance programs and employee communities.


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