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

JR United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Senior Machine Learning Engineer to revolutionize sports analytics through advanced computer vision and deep learning. In this pivotal role, you will lead projects that impact athletes and fans alike, utilizing cutting-edge technology to enhance performance insights. Collaborate with diverse teams to optimize machine learning systems, ensuring scalability and efficiency. This position offers the flexibility to work hybrid, allowing you to balance your professional and personal life while contributing to groundbreaking advancements in sports technology.

Benefits

Flexible vacation policies

Company holidays

Meeting-free days

Career development opportunities

Wellbeing support programs

Qualifications

• Strong experience in C++ and Python programming.
• Proficiency in building production-scale AI/ML systems.

Responsibilities

• Design and deploy machine learning models for cloud and edge environments.
• Lead major initiatives that drive value for users and the business.

Skills

C++

Python

Machine Learning

Deep Learning

Computer Vision

Tools

Kubernetes

TensorRT

Nvidia DeepStream

Nvidia Jetson

AWS

Job description

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

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Client:

Enigma

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

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

We are looking for a Senior Machine Learning Engineer to help deliver new experiences and insights to coaches, athletes, and fans across all levels of sport. In this role, you’ll lead impactful projects using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams.

Key Responsibilities

• 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.

Location and Flexibility

This role is open to candidates based within commuting distance of a London office. While in-office presence is not currently required, flexible working is supported.

Required Qualifications

• 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).

What You’ll Get

• 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.

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