Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

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

Enigma
Ashton-under-Lyne
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer – AI Team (Global Digital)

Member of Technical Staff | Agentic Workflows | Large Language Models | Natural Language Processing | Machine Learning | Hybrid, London

Member of Technical Staff | Agentic Workflows | Large Language Models | Natural Language Processing | Machine Learning | Hybrid, London

Staff Machine Learning Engineer (Competitive + Equity) at VC-backed AI logistics platform

Staff Machine Learning Engineer - Autonomy

Staff Machine Learning Engineer (UK)

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.