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- Tasks: Lead a high-performing team in developing advanced ML infrastructure and scalable deployment systems.
- Company: Top Quant fund known for innovation and technical excellence.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Drive cutting-edge ML projects and make a significant impact in a high-stakes environment.
- Qualifications: 8+ years in software engineering with strong leadership and ML expertise.
- Other info: Short interview process and a chance to work with experienced engineers.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, UK
Top Quant fund is seeking an experienced Engineering Manager / Tech Lead Manager to head a small, high-performing team focused on core ML infrastructure — distributed model training, LLM hosting / fine-tuning, and scalable deployment systems. You’ll own technical direction, lead 6–7 experienced engineers, and drive the integration of advanced ML capabilities into real-world, high-stakes systems. This is a hands-on leadership role within a deeply technical environment. Short interview process.
You should have:
- 8+ years in software engineering, including team leadership
- Deep ML infra & distributed systems expertise
- Strong Python; working knowledge of C++ / Java
- Proven ability to build and scale complex, production-grade systems
- Not a fit for junior or first-time managers.
Whilst we carefully review all applications to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Software Engineering Manager – Machine Learning employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Manager – Machine Learning
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at top quant funds or in machine learning. A personal introduction can make all the difference in getting noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with ML infrastructure and distributed systems. This will give you an edge during interviews and show that you’re hands-on and ready to lead.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for engineering managers, especially around team leadership and technical challenges. Mock interviews with friends or mentors can help you nail it.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Software Engineering Manager – Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and team leadership. We want to see how your skills align with the role, especially in ML infrastructure and distributed systems.
Showcase Your Projects: Include specific examples of projects you've led or contributed to that demonstrate your expertise in Python and any other relevant languages like C++ or Java. We love seeing real-world applications of your skills!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to our team.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It helps us keep everything organised and ensures your application is reviewed promptly!
How to prepare for a job interview at Oxford Knight
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of machine learning infrastructure and distributed systems. Brush up on your Python skills and be ready to discuss your experience with C++ or Java. Being able to articulate your past projects and how they relate to the role will show that you’re not just a manager, but a hands-on leader.
✨Showcase Your Leadership Style
Prepare to talk about your leadership approach and how you’ve successfully managed teams in the past. Think of specific examples where you’ve driven technical direction or helped your team overcome challenges. This is your chance to demonstrate that you can lead a high-performing team effectively.
✨Understand the Company’s Vision
Research the quant fund and its focus on integrating advanced ML capabilities. Be ready to discuss how your vision aligns with theirs and how you can contribute to their goals. Showing that you understand their mission will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Practice explaining complex concepts clearly and concisely, as you may need to demonstrate your thought process. Consider mock interviews with peers to refine your responses and boost your confidence.