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9,407

It jobs in United States

Staff Engineer - Machine Learning

Hudl

London
On-site
GBP 60,000 - 100,000
30+ days ago
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Associate: Tax

White & Case

London
On-site
GBP 50,000 - 90,000
30+ days ago

Embedded Systems Engineer - experienced

Everfox

London
On-site
GBP 51,000 - 70,000
30+ days ago

Litigation Solicitor or Chartered Legal Executive

Legal Southwest

Weston-super-Mare
On-site
GBP 40,000 - 60,000
30+ days ago

Operations Associate

Gopuff

Newcastle upon Tyne
On-site
GBP 20,000 - 30,000
30+ days ago
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Senior Performance Optimisation Engineer

Williams Racing

Canterbury
On-site
GBP 40,000 - 80,000
30+ days ago

Lead Data Engineer - KPMG Curve

KPMG United Kingdom

Leeds
On-site
GBP 50,000 - 90,000
30+ days ago

Customer Team Leader

Co-op

London
On-site
GBP 125,000 - 150,000
30+ days ago
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Associate Director - Ecology

WSP

Cambridgeshire and Peterborough
On-site
GBP 35,000 - 55,000
30+ days ago

Postperson with Driving

Royal Mail Group

Northallerton
On-site
< GBP 35,000
30+ days ago

North Walsham Community Shop volunteer – VH196

North Walsham Community Shop

North Walsham
On-site
GBP 10,000 - 40,000
30+ days ago

Charity Shop Assistant – VH117

Sidestrand Hall School Charity Shop

Cromer
On-site
GBP 10,000 - 40,000
30+ days ago

IT System Administrator Volunteer – VH18

Museum of the Broads

Stalham Green
On-site
GBP 20,000 - 30,000
30+ days ago

Press Brake Operators

Jonathan Lee Recruitment

Sandbach
On-site
GBP 25,000 - 35,000
30+ days ago

Community Matters Cafe Assistant – VH13

Cromer Methodist Church

Cromer
On-site
GBP 40,000 - 60,000
30+ days ago

Befriending Assistant – VH242

Age UK Norfolk

England
On-site
GBP 40,000 - 60,000
30+ days ago

Meal on Heels Volunteer – VH16

Age Concern, North Norfolk

Cromer
On-site
GBP 10,000 - 40,000
30+ days ago

Service Business Systems Analyst

Harvey Thomas

Greater London
On-site
GBP 55,000 - 60,000
30+ days ago

Business Development Manager

Austin Fraser

Leeds
On-site
GBP 40,000 - 60,000
30+ days ago

Executive Assistant

Creative Lives in Progress

London
On-site
GBP 80,000 - 100,000
30+ days ago

HR Advisor

Howden Group Holdings

Witney
Hybrid
GBP 30,000 - 50,000
30+ days ago

Property Manager

Pear Recruitment

London
On-site
GBP 80,000 - 100,000
30+ days ago

Share Plans & Incentives Tax Manager

BDO

Glasgow
On-site
GBP 30,000 - 60,000
30+ days ago

Store Service Advisor (Full -Time)

Ashworth and Parker Limited

London
On-site
GBP 20,000 - 30,000
30+ days ago

Procurement Specialist

ZipRecruiter

England
On-site
GBP 60,000 - 80,000
30+ days ago

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Staff Engineer - Machine Learning
Hudl
London
On-site
GBP 60,000 - 100,000
Full time
30+ days ago

Job summary

Join a forward-thinking company that empowers teams to leverage AI and machine learning for sports technology. As a Staff Engineer, you'll lead the charge in delivering high-impact AI/ML solutions, shaping the future of how coaches and athletes interact with data. This role offers the opportunity to define technical direction and drive innovation while enjoying a flexible work environment that champions work-life harmony. With a focus on personal and professional growth, you'll be part of a culture that values autonomy and supports your well-being. If you're passionate about technology and sports, this is the perfect opportunity for you.

Benefits

Flexible vacation time
Company-wide holidays
Meeting-free days
Remote work options
Medical benefits
Retirement benefits
Employee Assistance Program
Professional development resources

Qualifications

  • Proven track record in delivering impactful AI/ML products.
  • Experience in leading and coaching engineering teams.
  • Familiarity with the full lifecycle of AI/ML models.

Responsibilities

  • Provide technical leadership for AML squads to deliver AI/ML solutions.
  • Own complex AI/ML projects across multiple business units.
  • Drive innovation and define engineering excellence.

Skills

AI/ML product delivery
Leadership
Communication skills
Technical expertise in AI/ML systems
GPU acceleration
MLOps

Education

Relevant technical degree

Tools

Cloud technologies
Real-time systems
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.

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?

Our Applied Machine Learning (AML) team’s vision is to extract valuable insights from video and deliver them to coaches, athletes and fans at the perfect moment. We build new experiences and power automation across Hudl, using cutting-edge computer vision and deep learning technologies, deployed both in the cloud and on our Focus cameras at the edge.

As a Staff Engineer, you’ll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities for this role include:

  • Define the technical direction. You’ll set the tone for the systems architecture and technical capabilities required to stay ahead of challenges we’ll likely encounter over the next 12–24 months.
  • Own complex, high-impact AI/ML projects. You’ll work across multiple business units, ensuring high-quality delivery that aligns with business goals.
  • Define excellence. Through your example, you’ll set the bar for engineering excellence, best practices and quality within AML.
  • Drive innovation. Generate and implement new ideas that open up technical or business opportunities in unexpected ways.

For this role, we're currently considering candidates who live within a commuting distance of our offices in London. But with our flexible work policy, there aren't any current requirements for the number of days you come to the office.

Must-Haves
  • A product focus. You have a proven track record of delivering impactful AI/ML products at scale.
  • Leadership experience. You know how to coach and influence a team of Engineers in large organizations.
  • Technical expertise. You have built, maintained and scaled complex AI/ML systems in production, and you’re familiar with the full lifecycle of AI/ML models, from design to deployment and monitoring. You also have extensive experience in several of the following areas: GPU acceleration; inference at scale on both edge devices and cloud; real-time systems; active-learning; and MLOps.
  • Communication skills. You can easily and clearly express yourself verbally and in a written format. You’re able to convey complex technical concepts and trade-offs to cross-functional stakeholders at all levels of the organization.
Nice-to-Haves
  • Sports industry experience. You’ve used AI/ML in sports to generate data and/or create insights.
Our Role
  • Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, 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 you need 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

The base salary range for this role is displayed below, and may be eligible for bonuses which are offered at Hudl's sole discretion. Where a candidate is placed within this base salary range is determined by experience, skills, education and training required for the job as well as our internal pay equity. Discretionary bonuses, if awarded, may include annual targets based on company performance and a long-term incentive award.

Base Salary Range

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. But we recognize there’s ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports.

We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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