This position is for a Staff Quality Assurance Engineer at Hudl, located in the UK.
The role involves leading quality assurance efforts within an Applied Machine Learning team focused on delivering AI/ML solutions at scale.
You will provide technical leadership and strategic direction across engineering, QA, and data science teams to ensure high standards of product reliability and process excellence.
Collaboration across departments is essential to shape quality initiatives that align with immediate technical needs and long-term strategic goals.
The work environment is fast-paced, innovative, and supportive, promoting autonomy and continuous improvement.
Key responsibilities include providing mentorship to QA Engineers, Software Engineers, and Data Scientists, driving cross-functional collaboration, identifying and mitigating quality risks, and owning the strategic execution of quality objectives.
You will leverage industry best practices and emerging technologies to improve quality frameworks and processes.
The role also involves championing work-life harmony and fostering a culture of innovation and excellence in software quality.
A proven problem-solver is required, capable of independently addressing critical quality challenges.
Experience in mentoring teams on technical quality and best practices is necessary.
A strong curiosity and dedication to adopting new technologies and methods is important.
Comfort in a global, remote collaboration environment spanning multiple time zones is required.
Preferred experience includes AI/ML in sports or related industries.
Requirements:
You must provide technical quality leadership and mentorship to QA Engineers, Software Engineers, and Data Scientists across multiple teams.
You should drive cross-functional collaboration to align on quality standards, initiatives, and scalable solutions.
Proactive identification and mitigation of quality risks before they impact deliverables is essential.
You will need to own the strategic execution of quality objectives, balancing long-term goals with day-to-day delivery excellence.
Leveraging industry best practices and emerging technologies to continuously improve quality frameworks and processes is required.
You must champion work-life harmony and foster a culture of innovation and excellence in software quality.
Proven problem-solving skills are necessary to independently address critical quality challenges.
Experience in mentoring and coaching teams on technical quality and best practices is required.
A strong curiosity and dedication to scouting and adopting new technologies and methods is important.
You should be comfortable working in a global, remote collaboration environment spanning multiple time zones.
Preferred qualifications include experience with AI/ML in sports or related industries.
Benefits:
The position offers flexible working arrangements, including remote options within the UK and hybrid possibilities near the London office.
A competitive salary range of £92,000 to £153,000 GBP is provided, with compensation based on experience and skills.
Eligibility for long-term incentives and performance-based bonuses is included.
The company promotes a supportive culture emphasizing autonomy, professional growth, and work-life balance.
Access to comprehensive wellbeing resources, including mental health support and employee resource groups, is available.
There is an investment in technology and workspace to enable your best work, whether remote or in-office.