At a Glance
- Tasks: Lead a high-performing team in developing advanced ML infrastructure and scalable systems.
- Company: Top Quant fund known for innovation and technical excellence.
- Benefits: Competitive salary, hands-on leadership role, and a dynamic work environment.
- Other info: Short interview process and excellent career growth opportunities.
- Why this job: Make a real impact by integrating cutting-edge ML capabilities into high-stakes systems.
- Qualifications: 8+ years in software engineering with strong leadership and ML expertise.
The predicted salary is between 72000 - 108000 £ per year.
Software Engineering Manager - Machine Learning
Location: London, UK
Top Quant fund 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.
Contact
If you think you\'re a good match for the role and would like further info, please contact:
Ali Wilson
ali.wilson@oxfordknight.co.uk
(+44) 07412908641
linkedin.com/in/alexander-wilson-050
Welcome to Oxford Knight!We are dedicated International recruiters. We assist leading technologists and finance professionals into high-end roles wo...
Boost your careerFind thousands of job opportunities by signing up to eFinancialCareers today. #J-18808-LjbffrSoftware Engineering Manager - Machine Learning- Systematic Quant Fund | London, UK employer: Oxford Knight
At our top-tier Quant fund in London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel. As a Software Engineering Manager, you will lead a talented team in a cutting-edge environment, with ample opportunities for professional growth and development in the rapidly evolving field of machine learning. Our commitment to employee well-being and a collaborative atmosphere makes us an exceptional employer for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineering Manager - Machine Learning- Systematic Quant Fund | London, UK
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at quant funds or in machine learning. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Prepare for technical interviews by brushing up on your ML infrastructure knowledge. Dive into distributed systems and scalable deployment techniques. We recommend doing mock interviews with peers to get comfortable with the format.
✨Tip Number 3
Showcase your leadership skills! Be ready to discuss how you've led teams in the past, particularly in high-pressure environments. Use specific examples to illustrate your ability to drive projects and mentor engineers.
✨Tip Number 4
Don't forget to apply through our website! It’s a great way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for talented individuals like you to join exciting teams.
We think you need these skills to ace Software Engineering Manager - Machine Learning- Systematic Quant Fund | London, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership experience and technical expertise in ML infrastructure, as this is what we’re looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for the role. Share specific examples of how you've led teams and built scalable systems, and don’t forget to show your passion for machine learning!
Showcase Your Technical Skills:Since this role is deeply technical, be sure to mention your proficiency in Python and any experience with C++ or Java. We want to see how you’ve applied these skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It streamlines the process for us and ensures your application gets the attention it deserves. Don’t miss out on this opportunity!
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 talk confidently about your past projects will show that you’re not just a manager, but a hands-on leader.
✨Showcase Your Leadership Style
Prepare to discuss your approach to leading teams, especially in high-pressure environments. Think of examples where you’ve successfully guided engineers through complex challenges. This role requires someone who can inspire and drive a team, so be ready to share your leadership philosophy.
✨Understand the Business Context
Familiarise yourself with the quant fund's operations and how machine learning fits into their strategy. Be prepared to discuss how you can integrate advanced ML capabilities into their systems. Showing that you understand the business side will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current ML projects, team dynamics, and future goals. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
