At a Glance
- Tasks: Validate and enhance the ML software stack for future AI systems.
- Company: Join a leading tech company shaping the future of AI compute.
- Benefits: Enjoy unlimited leave, flexible work, and health benefits.
- Other info: Inclusive culture with opportunities for mentorship and career growth.
- Why this job: Make a real impact on AI technology while working with cutting-edge tools.
- Qualifications: Strong software design skills and experience in Python and CI/CD.
The predicted salary is between 80000 - 100000 £ per year.
Help prove the ML software stack that future AI systems will depend on. The company is expanding the software systems behind AI compute at datacentre scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware. You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute.
The ML QA team sits where the company's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking. Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns. Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly.
What we're looking for:
- Strong software design skills, with experience building maintainable systems across large codebases.
- Production Python experience, including testable, reliable code used by other engineers.
- Experience with CI/CD, automated testing and Linux based development workflows.
- Familiarity with C or C++, with confidence reading and debugging low level code.
- Understanding of ML frameworks, workloads or model execution beyond simple API usage.
- Ability to mentor engineers, improve practices and take ownership of complex technical problems.
Benefits:
- Unlimited annual leave
- Up to 5% matched pension
- Phantom equity – share in the company's success
- True flexibility in how and where you work
- Office spaces designed for collaboration
- Free food and an on-site barista
- Health cash plan
- Income protection
- Life assurance
- Along with other benefits you can choose from (private medical insurance, dental plan etc)
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
Senior Software Engineer (ML QA) employer: United States Digital Space LLC
Join a forward-thinking company that is at the forefront of AI technology, where as a Senior Software Engineer (ML QA), you will play a pivotal role in shaping the future of machine learning systems. With a culture that promotes open communication, collaboration, and continuous improvement, you'll benefit from unlimited annual leave, flexible working arrangements, and a supportive environment that values diverse perspectives. This is an exceptional opportunity to grow your skills while contributing to innovative projects that have a real impact on the industry.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (ML QA)
✨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 United States Digital Space LLC 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
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✨Tap into Online Developer Communities
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We think you need these skills to ace Senior Software Engineer (ML QA)
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 United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC
✨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 United States Digital Space LLC 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.
