---
title: 'Senior MLOps Engineer - Edge at Hudl'
canonical: 'https://feeny.ai/job/senior-mlops-engineer-edge-hudl-barcelona-7np3v4ww2yye'
type: 'job'
last_seen: '2026-09-09'
---

# Senior MLOps Engineer - Edge at Hudl

- **Company:** Hudl
- **Location:** Barcelona, Spain / London, United Kingdom
- **Work type:** remote
- **Posted:** 2026-08-17
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/hudl/jobs/8112582

## Job description

At Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of [Newsweek's Top 100 Global Most Loved Workplaces](https://www.hudl.com/blog/newsweek-top-100-global-most-loved-workplaces-2023).

We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.

Ready to join us?

## Your Role

We're hiring a Senior MLOps Engineer for our Hardware Group to build and scale the machine learning infrastructure that powers Focus, our line of smart cameras. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally, and contribute to the platform that compiles trained models into optimised inference engines for devices like the Jetson Orin, building the "nervous system" for the next generation of automated sports capture.

As a Senior MLOps Engineer, you'll:

- Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices.
- Own the model compilation platform. You'll build and maintain the pipeline that takes trained models and produces optimised, hardware-specific inference engines — managing TensorRT compilation, precision trade-offs (FP16/INT8), calibration, and engine validation to ensure models run reliably and efficiently on target devices.
- Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers, and Product Managers to ensure smooth integration of complex features and capabilities
- Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild.
- Solve complex physical challenges. You'll tackle the unique constraints of the edge - building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures.
- Mentor and lead. You'll share your expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future.

We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain.

Must-Haves

- Production MLOps expertise. You've played a key role in building and operating pipelines that deploy models to production, with deep experience in CI/CD, containerization (Docker), and Linux systems.
- Edge inference & compilation know-how. You have hands-on experience compiling and optimising models for embedded hardware - ideally with TensorRT - and understand the practical implications of precision, quantisation, and engine validation at scale.
- Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions.
- Systems thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks.
- Bias towards action. You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together.

Nice-to-Haves

- Experience with our Edge AI stack. Experience with the NVIDIA edge ecosystem (Jetson Orin, DeepStream SDK, TensorRT) is a huge plus.
- Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg.
- Fleet management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions.
- Sports Passion. You have an interest in sports technology, video analytics, or performance metrics—but if not, we'll teach you the domain.

Our Role

- Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
- Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
- Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
- Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech stack and hardware to do your best work.
- Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

## Compensation

Inclusion at Hudl

Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we’ll create an environment where everyone, no matter their differences, feels like they belong.

We offer resources to ensure our employees feel safe bringing their authentic selves to work, [including employee resource groups and communities](https://www.hudl.com/about-inclusion). But we recognize there’s ongoing work to be done, which is why we track our efforts and commitments in [annual inclusion reports](https://www.hudl.com/about-inclusion).

We also know imposter syndrome is real and the [confidence gap](https://www.theatlantic.com/magazine/archive/2014/05/the-confidence-gap/359815/) can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.

Privacy Policy

[Hudl Applicant and Candidate Privacy Policy](https://www.hudl.com/jobs/hudl-applicant-and-candidate-privacy-policy)

## About Hudl

## Company Overview
- **One-liner**: Hudl provides a sports technology platform that helps teams capture, organize, analyze, and learn from video and data.
- **Entity Type**: Private (venture-backed, growth stage)
- **Headquarters**: Lincoln, NE, USA
- **Founded**: Not publicly available
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Sports technology, video analysis, data analytics
- **Target customers**: B2B – teams, coaches, athletes, and recruiters at youth, high school, college, and professional levels across 40+ sports
- **Mission or purpose**: “We believe in the power and potential of sports.” – helping athletes, coaches, and teams reach their potential through accessible insights. [hudl.com/](https://www.hudl.com/)

## Products & Services
- **[Hudl Platform](https://www.hudl.com/)**: SaaS for video organization, AI-powered analytics, and performance insights. Used for live streaming, post-game analysis, and recruiting.
- **[Hudl Focus](https://www.hudl.com/)**: AI-powered, hands-free camera that automatically captures and streams game footage.
- **[Hudl Titan](https://www.hudl.com/)**: Another camera model (likely a higher-end option for professional-level capture).
- **Data & Analytics Services**: AI tagging, automated stats, and custom analytics delivered by Hudl’s analyst team and algorithms.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Not publicly available (revenue and funding details not disclosed)
- **Notable Investors/Partners**: Not publicly available; recent partnership with Valor FC (May 2025) as Official Player Performance Insights Partner. [hudl.com/](https://www.hudl.com/)
- **Growth Signals**: Global offices in 10+ countries (US, UK, Netherlands, India, Spain, Italy, China, Japan, New Zealand, Australia); actively hiring across engineering, sales, and product roles; named one of Newsweek’s 2023 Top 100 Most Loved Workplaces. [hudl.com/jobs](https://www.hudl.com/jobs) | [job-boards.greenhouse.io/hudl](http://job-boards.greenhouse.io/hudl)

## Competitive Advantages
- **End-to-end ecosystem**: Combines hardware (AI cameras) with software (video, data, analytics) in a single platform, reducing friction for teams.
- **AI at scale**: Uses machine learning to automatically tag plays, generate stats, and surface insights across 40+ sports.
- **Global trust**: Used by millions of athletes and coaches worldwide, from grassroots to elite levels.
- **Community & culture**: Strong emphasis on belonging and inclusion, with employee resource groups and annual inclusion reports. [hudl.com/about](https://www.hudl.com/about)

## Strategic Focus
- **AI integration**: Deepening AI capabilities for automated analysis and insights.
- **Global expansion**: Building presence in new markets (e.g., recent partnerships in North America and Europe).
- **Product breadth**: Continuing to develop hardware and software that serve every level of sport.

## Why Work Here
- **Culture**: “A Culture Built on Belonging” – employee resource groups, inclusive leadership training, and annual inclusion reports. [hudl.com/about](https://www.hudl.com/about)
- **Flexibility**: Flexible remote work policy with offices in 10+ countries; many roles are fully remote. [hudl.com/jobs](https://www.hudl.com/jobs)
- **Benefits**: Free health insurance premiums, 14 weeks paid parental leave (birth parents), 8 weeks for non-birth parents, flexible PTO, paid sabbatical every 5 years, company-wide breaks, fitness credits, fertility support, 401(k) match, and free lunch at Lincoln HQ with on-site childcare. [hudl.com/jobs/benefits](https://www.hudl.com/jobs/benefits)
- **Engineering culture**: “The best tech for teams, built by the best team in tech” – emphasis on continuous learning, professional development, and trust-based autonomy. [hudl.com/about](https://www.hudl.com/about)
- **Recognition**: Newsweek’s 2023 Top 100 Most Loved Workplaces. [hudl.com/jobs](https://www.hudl.com/jobs)

## Sources
1. [hudl.com/about](https://www.hudl.com/about)
2. [hudl.com/jobs](https://www.hudl.com/jobs)
3. [hudl.com/jobs/benefits](https://www.hudl.com/jobs/benefits)
4. [hudl.com/](https://www.hudl.com/)
5. [job-boards.greenhouse.io/hudl](http://job-boards.greenhouse.io/hudl)

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