Staff Machine Learning Engineer | Python | GPU's | C++ | Nvidia Jetsons | Machine Learning | Remote, UK

Enigma
East London
1 year ago
Applications closed

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Machine Learning Engineer

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Staff Machine Learning Engineer

Staff Machine Learning Engineer | Python | GPU's | C++ | Nvidia Jetsons | Machine Learning | Remote, UK

The hiring company believes that building a great team starts with valuing its members. They seek top talent to create an environment where individuals can grow and learn from one another.


Employees are empowered to accomplish their work in their own way while pushing boundaries and exploring new possibilities. The company fosters a supportive culture, earning recognition as a globally acclaimed workplace based on employee feedback.


The organization values the impact of sports—not just for victories and milestones, but for the enduring lessons in teamwork, perseverance, and mentorship. They believe in the transformative power of sports to change lives, and this passion drives their mission.


The team develops innovative solutions that change how people experience sports, creating tools that make it easier to capture video, analyze data, share highlights, and more.


About the Role

The Applied Machine Learning (AML) team within the organization focuses on extracting valuable insights from video and delivering them to users at the perfect moment. They use cutting-edge computer vision and deep learning technologies to develop new experiences and automation, deploying solutions in the cloud and on edge devices.


The hiring organization is seeking a Staff Engineer to provide technical leadership and deliver scalable AI/ML solutions that shape the future of sports technology. Key responsibilities include:


  • Setting technical direction: Defining systems architecture and capabilities to address challenges anticipated over the next 12–24 months.
  • Leading impactful projects: Overseeing complex AI/ML initiatives that align with business goals across multiple units.
  • Defining excellence: Setting high standards for engineering quality, best practices, and innovation.
  • Driving innovation: Developing and implementing creative ideas to uncover new technical or business opportunities.


This position is open to candidates within commuting distance of the organization's London offices, with flexibility for remote work as needed.


Key Qualifications

  • Product focus: Proven experience delivering impactful AI/ML products at scale.
  • Leadership skills: Demonstrated ability to guide and influence engineering teams in large organizations.
  • Technical expertise: Extensive knowledge of building, maintaining, and scaling complex AI/ML systems, with experience in areas such as GPU acceleration, edge/cloud inference, real-time systems, active learning, and MLOps.
  • Communication skills: Exceptional ability to convey complex technical concepts to diverse audiences, including cross-functional stakeholders.


Preferred Qualifications

  • Experience applying AI/ML in the sports industry to generate data or insights.


What the Organization Offers

  • Work-life balance: Flexible vacation policies, company-wide holidays, remote work options, and meeting-free days.
  • Autonomy: A culture of trust and ownership where employees have the freedom to explore new ideas.
  • Career development: Ample opportunities for professional growth, supported by resources and training.
  • Supportive environment: Access to well-equipped office spaces and the necessary technology to succeed, whether working on-site or remotely.
  • Wellbeing resources: Depending on location, benefits such as medical coverage, retirement plans, mental health support, and employee assistance programs are offered.


Excellent compensation - six figures+ & equity

Remote Working but within commutable distance to London

Permanent position


If you are interested in finding out more about this hire please reach out to for immediate consideration.


Staff Machine Learning Engineer | Python | GPU's | C++ | Nvidia Jetsons | Machine Learning | Remote, UK

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