At a Glance
- Tasks: Lead a team of ML engineers to optimise AI model serving systems.
- Company: Join DeepL, a global leader in AI technology and innovation.
- Benefits: Enjoy flexible hours, hybrid work, competitive salary, and 30 days annual leave.
- Other info: Be part of a diverse team with regular events and opportunities for growth.
- Why this job: Shape the future of AI while making a meaningful impact on communication.
- Qualifications: Experience in leading ML teams and strong background in production ML systems.
The predicted salary is between 72000 - 88000 £ per year.
DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation.
Founded in 2017, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact.
You will lead the Production Inference team — the group responsible for the systems that serve DeepL's language AI models reliably and efficiently at scale. The team owns the full model serving stack, operating within the Research organisation, with close ties to DeepL's infrastructure and platform functions.
Your responsibilities include:
- Leading and developing a high-performing team of research scientists and ML engineers.
- Owning the team's research and development roadmap for production inference systems.
- Acting as the primary technical interface between the Production Inference team and adjacent functions.
- Driving the reliability, efficiency, and cost performance of DeepL's model serving stack.
- Operating with a high degree of autonomy, defining the team's direction.
- Identifying, assessing, and recruiting research and engineering talent.
Qualities we look for:
- Proven experience leading a team of researchers or ML engineers.
- A strong background in Computer Science, Mathematics, Physics, or a comparable quantitative discipline.
- A strong foundation in production ML systems, inference optimisation, or model serving at scale.
- Excellent communication skills and the ability to translate complex technical direction into clear goals.
- Solution-oriented and decisive, able to define direction and drive outcomes.
What we offer:
- Diverse and internationally distributed team.
- Open communication and regular feedback.
- Hybrid work and flexible hours.
- Virtual Shares for every employee.
- Regular in-person team events.
- Monthly full-day hacking sessions.
- 30 days of annual leave.
- Competitive benefits tailored to your location.
If this role and our mission resonate with you, we encourage you to apply.
We are an equal opportunity employer and appreciate authenticity. Bring us your personal experience, perspectives, and background.
Senior Machine Learning Engineering Manager employer: DeepL
DeepL is an exceptional employer that fosters a culture of innovation, trust, and well-being, making it an ideal place for an Engineering Manager to thrive. With a diverse, globally distributed team and a commitment to employee growth through regular feedback and career development coaching, DeepL offers a unique blend of flexible working arrangements, competitive benefits, and the opportunity to make a meaningful impact in the AI industry. The company's focus on open communication and collaboration ensures that every team member feels valued and empowered to contribute to its mission of breaking down language barriers worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineering Manager
✨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 DeepL 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 DeepL.
✨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 DeepL.
✨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 DeepL 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 Senior Machine Learning Engineering Manager
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 DeepL.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DeepL 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 DeepL
✨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 DeepL 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.
