At a Glance
- Tasks: Design and build core intelligence systems for innovative app testing.
- Company: Join a fast-growing startup backed by top investors in tech.
- Benefits: Competitive salary, equity, 28 days holiday, and private medical care.
- Other info: Collaborative office environment in London with opportunities for personal growth.
- Why this job: Shape the future of software testing with cutting-edge machine learning technology.
- Qualifications: Experience in computer vision and hands-on ML production skills required.
The predicted salary is between 60000 - 80000 £ per year.
Hey! We’re Semaloop. Last year, we began building and have secured over $3m in funding from investors and operators behind companies like Lovable, ElevenLabs, Hugging Face, Linear and Dropbox. We’re already relied on daily by cutting-edge companies like Granola and Gopuff.
We saw first-hand how building apps was being slowed by checks and balances. Whether at early-stage startups or tech giants like Apple, flaky tests blocked releases and QA slowed cycle time. Automating UI testing has been brittle and slow ever since the first smartphone came out in 2007. We’re on a mission to change that by building agents that test apps like humans do: through sight, sound and touch.
By solving for the human interfaces, developers don’t have to maintain special APIs, accessibility IDs or integrate new libraries. Instead, teams like Granola just describe how their app should work in plain English. When they ship new builds, Semaloop does the heavy lifting: verifying that the app works, and if not, figuring out what’s broken. That means an end to manual testing, and hours of time back per day for developers.
The Job: As a Founding ML Engineer, you won’t just be training models in isolation. You’ll be building the core systems that allow machines to understand and operate software interfaces like humans do. This is not a research-only role, and it’s not just applied ML either. You’ll own the full loop, from idea, to prototype, to production, to iteration, working directly with real product data and real customer problems.
We’re looking for…
- A Machine Learning Engineer with strong experience in computer vision and an interest in multimodality.
- Hands-on experience across modern machine learning and classical CV (CNNs, OpenCV).
- Someone who is comfortable taking systems from research to production, showcasing a blend of academic depth (MSc/PhD) and startup execution speed.
- Hands-on experience taking ML ideas from "works on my laptop" to real production systems.
- Calmness when life moves quickly and priorities shift.
As a person, you…
- Consider yourself first and foremost, a builder.
- Get excited at the idea of working together in-person from our office in Old Street (typically at least 3 days a week).
- Love working in a startup environment.
- Obsess over the customer experience, and quality in products you ship.
You can expect to…
- Design and build the core intelligence behind Semaloop.
- Own the end-to-end loop from research to prototype to production through to iteration.
- Work across multimodal models powering real-world computer use.
- Improve performance in the pursuit of real-time decision-making.
- Train, evaluate, and ship models into production systems.
What we offer:
- Competitive salary + equity
- 28 days holiday + bank holidays
- Private medical & dental (Bupa)
- Generous parental leave
- Pension matched up to 10% (Penfold)
- Life assurance, critical illness & income protection
Founding Machine Learning Engineer employer: Semaloop Ltd
At Semaloop, we pride ourselves on being an innovative and dynamic employer that fosters a collaborative work culture in the heart of London. As a Founding Machine Learning Engineer, you'll have the unique opportunity to shape groundbreaking technology while working alongside a world-class team, all within a vibrant startup environment that encourages creativity and personal growth. With competitive salaries, generous benefits, and a commitment to employee well-being, we empower our team members to achieve their best work and make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Machine Learning Engineer
✨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 Semaloop Ltd 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 Semaloop Ltd.
✨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 Semaloop Ltd.
✨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 Semaloop Ltd 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 Founding Machine Learning Engineer
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 Semaloop Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Semaloop Ltd 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 Semaloop Ltd
✨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 Semaloop Ltd 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.