At a Glance
- Tasks: Scale and advance testing infrastructure for large-scale AI projects with cutting-edge technologies.
- Company: Join a community-focused company at the forefront of AI innovation.
- Benefits: Enjoy flexible hours, health coverage, parental leave, and professional development opportunities.
- Other info: Collaborative environment with excellent career growth and remote work options.
- Why this job: Make a real impact by ensuring machine learning frameworks operate reliably and efficiently.
- Qualifications: Experience with machine learning frameworks and managing high-volume test suites is essential.
The predicted salary is between 63000 - 77000 £ per year.
As a Machine Learning Test Engineer, you will play a critical role in scaling and advancing testing infrastructure for large-scale AI projects. You will work on complex, high-volume test suites across multiple platforms, ensuring that machine learning frameworks operate reliably and efficiently. This role offers the chance to design robust, growth-oriented testing architectures, integrate testing deeply into CI/CD pipelines, and collaborate with cross-functional teams to elevate testing as a strategic priority.
Accountabilities
- Lead the redesign and scaling of testing infrastructure to support high-volume test suites (100K+ tests) across multiple platforms.
- Architect and implement scalable, modular testing systems integrated with CI/CD pipelines.
- Establish best practices for test coverage, reliability, and maintainability, partnering with testing leads and engineering teams.
- Anticipate future testing needs and proactively adapt systems to evolving project complexity and platform diversity.
- Collaborate with engineers, product managers, and other stakeholders to ensure testing is a core component of project planning and execution.
- Continuously monitor and improve testing processes to optimize efficiency and reduce technical debt.
Requirements
- Proven experience with modern machine learning frameworks (e.g., Transformers, PyTorch) and large-scale software projects.
- Experience managing high-volume test suites and cross-platform testing challenges.
- Strong understanding of CI/CD pipelines and automated testing frameworks.
- Strategic mindset that treats testing as a critical enabler of project growth and reliability.
- Proficiency in designing scalable, modular, and maintainable testing architectures.
- Excellent collaboration and communication skills in English.
Preferred: background in open-source development and experience re-architecting testing systems for rapidly growing projects.
Benefits
- Flexible working hours and remote options to support work-life balance.
- Health, dental, and vision coverage for employees and their dependents.
- Parental leave and flexible paid time off policies.
- Reimbursement for relevant conferences, training, and education.
- Company equity as part of the compensation package.
- Opportunity to work in a collaborative, community-focused environment with cutting-edge AI technologies.
Machine Learning Test Engineer, Transformers team - EMEA Remote employer: Jobgether
As a Senior ML Engineer at our innovative healthcare-focused company in the UK, you will be part of a dynamic team dedicated to transforming clinical environments through cutting-edge technology. We offer a collaborative work culture that fosters creativity and professional growth, alongside competitive benefits and opportunities for continuous learning in the rapidly evolving field of machine learning. Join us to make a meaningful impact on healthcare while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Test Engineer, Transformers team - EMEA Remote
✨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 Jobgether 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 Jobgether.
✨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 Jobgether.
✨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 Jobgether 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 Machine Learning Test Engineer, Transformers team - EMEA Remote
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 Jobgether.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jobgether 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 Jobgether
✨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 Jobgether 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.
