At a Glance
- Tasks: Lead testing of AI tools for accurate document categorisation and validation.
- Company: Join a forward-thinking team on a large-scale AI data programme.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact in AI-driven decision making while enhancing your testing skills.
- Qualifications: Experience in software testing, especially with AI/ML and data quality.
The predicted salary is between 63000 - 77000 £ per year.
AI & Data Software Tester is required to join a team working on a large scale AI-enabled data programme. You will lead the testing of AI tools that categorise documents, making sure they are accurate, reliable and explainable.
Responsibilities:
- Validating AI-enabled categorisation of unstructured documents, ensuring results are accurate, precise, reliable and explainable.
- Validating document migration processes, ensuring document handling, classification, transfer, event monitoring and audit controls work accurately and reliably.
- Working closely with technical teams and business stakeholders to identify risks, improve quality and build confidence in AI-driven decision making.
- Providing technical assurance across all stages of the project lifecycle.
- Reviewing and validating epics, user stories, tasks, acceptance criteria, defects and other Agile artefacts for quality, completeness and alignment with business outcomes.
- Monitoring delivery performance and reporting to project managers on progress, risks, dependencies and quality indicators.
- Assessing the readiness of deliverables to progress through key delivery stages.
- Identifying technical, delivery, operational and strategic risks, and developing and maintaining mitigation plans, tracking actions through to resolution.
Skills and experience:
- Extensive experience in software testing, with a strong focus on AI/ML, data quality and data pipeline testing.
- Experience validating AI-driven classification or categorisation.
- Strong understanding of Agile delivery frameworks and the software development lifecycle.
- Strong analytical skills, with excellent attention to detail.
- Experience of document or data migration testing, including audit controls will be an advantage.
AI & Data Software Tester in London employer: Careerwise Uk
Careerwise-UK is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to thrive in their roles while working flexibly from home. With a strong emphasis on professional development, the company provides ample opportunities for growth and advancement, making it an ideal place for those looking to make a meaningful impact in the field of product data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Software Tester in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Careerwise Uk or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Careerwise Uk.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Careerwise Uk.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Careerwise Uk that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI & Data Software Tester in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Careerwise Uk.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Careerwise Uk and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Careerwise Uk
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Careerwise Uk uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
