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

Apply Now

QA Test Engineer

Bromley
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Test Engineer

Software Engineer - Machine Learning

Senior Data Science Strategist - Featurespace

Head of Applied Research Methods (Data Science, Quantitative Research or Trials), A Healthy Life

Senior 3D Computer Vision Engineer

Quality Assurance Manager

QA Test Engineer** (Contract)

Duration: 12 Months (Possibility for extension)

Location: Bromley/Hybrid (3 days per week on site)

Rate: A highly competitive Umbrella Day Rate is available for suitable candidates

Role Profile

Generative AI presents an exciting opportunity to derive valuable insights from data and to drive revenue growth, efficiencies, and improved business processes. Technology collaborates closely with Global Markets Business and Quantitative Strategies & Data Group (QSDG) & Platform teams in the design and buildout of the Global Markets Gen AI platform.

The QA Tester will be responsible for testing and delivering complex software requirements to accomplish business outcomes, ensuring the testing strategy and processes are well-defined and continuously improved.

Key Responsibilities:

Collaborate with product owner, scrum master, development, system and release management teams to certify and promote code to higher level environments.
Own test execution, Defect management, Test progress reporting and escalation of issues and risks.
Condition and generate test data in compliance with test data requirements. Manage sensitive test data.
Demo functionality to UAT testers, user community and external stakeholders.
Excellent written & verbal communication, ability to multitask, work well under demanding situations, prioritize and meet deadlines.
Continuously evaluate and improve testing processes, tools, and methodologies to enhance efficiency and quality.
Work closely with cross-functional teams, including developers, data scientists, and product managers, to understand project requirements and align testing efforts.
Ensure testing activities adhere to industry standards and company policies for data security and privacy.

Experience required:

Experience with agile development methodologies, Jira and DevOps practices.
Experience in test planning one or more applications that span across multiple stakeholders.
Strong experience in developing and executing testing strategies for complex applications.
Proficiency in test case design, test execution, and test management tools.
Experience with automation testing tools such as Selenium, JUnit, or PyTest.
Understanding and experience in data testing/validation. Advanced skills in testing applications developed in Python, SQL/No-SQL databases and user interfaces.
Knowledge of data versioning and data management practices.
Ability to communicate effectively to a wide range of audience (business stakeholders, developer & support teams)
Experience with testing frameworks and tools specific to AI/ML applications.
Familiarity with cloud platforms and testing in cloud environments.

Candidates will need to show evidence of the above in their CV in order to be considered.

If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment

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.