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

Apply Now

Senior Qa Engineer

OpenSourced
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Engineer, Machine Learning

Senior 3D Computer Vision Engineer

Senior Engineer, Machine Learning United Kingdom, London

Senior Data Science Engineer, American Football

Senior Machine Learning Engineer (Applied ML / Generative AI)

Senior Data Science Strategist - Featurespace

We are recruiting on behalf of an innovative, fast-growing health-tech company that is revolutionising the fitness industry. Their flagship product combines advanced computer vision, connected weights, and 3D cameras to offer personalised, in-home training sessions led by world-class athletes. Having gained recognition with features in Selfridges, Good Morning Britain, and as one of Fast Company's World's Most Innovative Companies of 2024, this is an exciting time to join their small but highly accomplished team.With cutting-edge technology that enables real-time form correction, rep counting, and live feedback, their intelligent hologram mirror provides a fully customised workout experience. The company has also partnered with top athletes to create exclusive content across various disciplines including strength training, yoga, and dance, offering personalised feedback and tracking similar to personal training—without the high costs. They are backed by prominent venture capital investors, including those who have funded companies like Grover, Scalapay, and Onfido.About the RoleOur client is looking for their first Senior QA Engineer , who will take full ownership of the quality assurance process across their platform. This will involve everything from their smart mirror application and computer vision form tracking to workout content and hardware components. You will work closely with the CPO and play a key role in ensuring the highest standards across all areas of the product. As part of a high-performing team with successful exits in their past ventures, this is a fantastic opportunity to make a significant impact in a dynamic environment.Key ResponsibilitiesLead QA for the mirror application, admin web app, computer vision form tracking, workout content, and hardware (mirror, bench, dumbbells).Implement shift-left testing practices to ensure quality is integrated throughout the development cycle.Conduct manual testing of the mirror software to identify and reproduce bugs.Introduce and maintain testing practices such as regression, functional, and exploratory testing.Assist the computer vision engineers with manual testing of their tracking system to ensure accuracy in rep counting and form feedback.Collaborate with the content team to manually test new workout content and ensure it meets high-quality standards.Inspect new mirrors from shipments to ensure they meet the required specifications.Ensure smooth and regular feature releases, working closely with developers to minimise bugs.Potential opportunity to take on a leadership role as the QA team grows.RequirementsExtensive experience as a QA Engineer, preferably in a startup or high-growth environment.Strong understanding of mobile and web app testing, including usability principles.Ability to design comprehensive test strategies across multiple areas of a product.Proficiency with project and test management tools (e.g. JIRA, Xray).Excellent communication skills, able to convey technical concepts to non-technical stakeholders.Detail-oriented and process-minded, with a strong focus on quality.Experience working within Agile Scrum teams.Self-motivated and capable of working both independently and in teams.Passion for developing technology that is transforming the fitness industry, though prior fitness experience is not required.Nice to HavesExperience conducting QA testing for hardware products in addition to software.Product-minded with an understanding of how to build consumer-facing products.Previous experience as a developer is advantageous.A passion for fitness and experience with fitness products is a plus.Share options in the companyImmediate impact with high responsibility from day oneUnlimited holidayHybrid working with at least 2 days WFH per weekMental health and wellbeing supportHardware budget for new Macbook or other devicesProfessional learning and development budgetRegular team socialsThis is a rare opportunity to join a company that is shaping the future of fitness technology. If you are a Senior QA Engineer looking for a chance to make a real impact in a rapidly scaling business, we’d love to hear from you. Apply now!#J-18808-Ljbffr

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.

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.