Quality Assurance Engineer

London

6 months ago

Applications closed

Related Jobs

View all jobs

AWS Data Engineer

Bioinformatic Software Engineer

Electronics Engineer Consultant - Security Clearance

Artificial Intelligence Engineer

Machine Learning Engineer – Defence Sector – Cambridge

Machine Learning Engineer

Quality Assurance Engineer - London - Up To £45,000

About the company:

Driven by a mission to reduce societal inequality through the effective use of data and insights, enabling better outcomes for vulnerable individuals. Their focus spans a range of areas, including Financial Inclusion, Homelessness, Adult Social Care, Children's Services, and Community Safety.

This is an exciting time to join as they are experiencing rapid growth. Their priorities include onboarding new clients, ensuring their platform remains robust and scalable, and developing innovative use cases. Primarily a technology provider, their projects are always geared towards achieving better outcomes for vulnerable residents and improving access to information for frontline staff.

They are seeking individuals who share their vision and are eager to contribute to the ambitious growth plans - 50% growth in 2025.

Location

Primarily remote, with occasional travel for team meetings in London. Office space is available in London for those who prefer to work on-site.

Responsibilities

Support the Testing team in implementing structured QA processes and methods
Ensure high quality standards are met within the software development lifecycle
Manually test all stages and development from internal project work and matching data, to the specification and acceptance criteria
Feedback all bugs, defects and failures collaboratively
Communicate effectively with team leads and project managers to provide feedback on client UAT findings
Support clients with UAT testingSkills and Experience

3yrs+ of experience as a manual QA Engineer
2yrs+ of experience with Azure DevOps
Strong skills in writing manual test scripts
Experience of multiple types of testing, including Regression, Smoke, Performance etc
Strong knowledge of software QA methodologies and processes
Ability to troubleshoot and solve technical problems
Ability to support PDMs with requirements and acceptance criteria
Ability to support clients with UAT
Strong analytical and problem-solving skills
Ability to manage time and prioritise tasks
Ability to work collaboratively across a cross-functional team including developers, project managers and data scientistsBenefits

Competitive salary reviewed annually.
Opportunity to work for a mission-driven company tackling societal challenges.
Flexible working hours focused on outcomes rather than time logged.
Remote working (excluding occasional team and client meetings).
Professional training and development opportunities.
25 days of annual leave, plus bank holidays.
Company pension scheme.
Private medical insurance.
Enhanced parental leave policies.
Cycle-to-work scheme.
Flu vaccinations, eye tests, and VDU glasses reimbursement.
Employee Assistance Programme, including access to mental health support, remote GP consultations, counselling, physiotherapy, and second medical opinions.If interested, please apply to share your CV

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jul 2, 2025

Careers

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

Jun 29, 2025

Jobs

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Jun 23, 2025

Jobs Careers

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.