Lead QA Engineer

Client Server
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Sc cleared

Lead Data Engineer

Lead Data Analyst

Lead Data Engineer

Lead Data Engineer (GCP)

Lead Data Engineering Consultant CGEMJP00330718

Lead QA Engineer (JavaScript Playwright Python) Cambridge / WFH to £80k

Do you have a broad range of testing experience combined with test strategy and leadership skills?

You could be progressing your career working on real-world problems within a high successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning.

As a Lead QA Engineer you will develop and implement comprehensive quality assurance frameworks using a range of methods, monitor performance and address issues with corrective measures. You'll collaborate closely with the software development team on unit testing, oversee CI/CD testing processes and also work with the Service Desk to investigate common tickets and customer feedback to feed into the QA strategy.

You'll act as a QA advocate in the organisation and also provide coaching and technical direction to a small team.

Location / WFH:

You'll be able to work from most of the time, joining the team in Cambridge once a week.

About you:

  • You have strong QA testing experience using a range of methods including automation testing, integration testing, load testing, Machine Learning and AI testing
  • You can code with JavaScript and Python and have Playwright testing experience
  • You have strong technical leadership skills including mentoring
  • You have excellent communication, collaboration and stakeholder management skills
  • You are degree educated in Computer Science or similar STEM discipline

What's in it for you:

  • Competitive salary - to £80k
  • Stock options
  • Private Health Care
  • Life Assurance
  • Up to 6% employer pension contribution
  • 25 days holiday
  • Cambridge Botanic membership
  • Continual self development opportunities
  • Remote working (x1 day a week in Cambridge, close to the station)

Apply nowto find out more about this Lead QA Engineer (JavaScript Playwright Python ML AI) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Y3NydC44Mjg1NS4xMjI3MUBjbGllbnRzZXJ2ZXIuYXBsaXRyYWsuY29t.gif

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.