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

Apply Now

Quality Assurance Engineer

London
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Evaluation

Data Engineer - DataOps

Senior Machine Learning Engineer (UK)

Machine Learning & AI Engineer

Machine Learning & AI Engineer

Senior Machine Learning Engineer (UK)

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.

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.