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- Tasks: Lead a talented team in developing cutting-edge ML infrastructure and scalable deployment systems.
- Company: Join a top Quant fund known for innovation and excellence in machine learning.
- Benefits: Enjoy competitive pay, flexible working options, and a dynamic work environment.
- Why this job: Be at the forefront of technology, making a real impact in high-stakes systems.
- Qualifications: 8+ years in software engineering with strong leadership skills and expertise in Python.
- Other info: Short interview process; ideal for experienced managers ready to take on challenges.
The predicted salary is between 72000 - 108000 £ per year.
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:
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 with professionals in the machine learning and software engineering fields. Attend industry meetups, conferences, or webinars to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what top quant funds are looking for in candidates.
✨Tip Number 2
Showcase your leadership experience by discussing specific projects where you've led teams to success. Be prepared to share examples of how you've managed complex systems and driven technical direction, as this is crucial for the role.
✨Tip Number 3
Familiarise yourself with the latest advancements in machine learning infrastructure, particularly in distributed model training and LLM hosting. Being knowledgeable about these areas will demonstrate your commitment and readiness for the challenges of the role.
✨Tip Number 4
Prepare for a hands-on interview process by brushing up on your coding skills, especially in Python, C++, and Java. You may be asked to solve technical problems or discuss your approach to building scalable systems, so practice articulating your thought process clearly.
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. Emphasise your skills in Python, C++, and Java, as well as any relevant projects that showcase your ability to build and scale complex systems.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the requirements of the Software Engineering Manager role. Discuss your experience with machine learning infrastructure and how you have successfully led teams in the past.
Showcase Technical Expertise: In your application, provide examples of your hands-on experience with distributed model training and scalable deployment systems. This will demonstrate your technical direction and leadership capabilities.
Follow Application Instructions: Ensure you follow all application instructions provided by the company. Submit your application through our website, including all required documents, and double-check for any specific submission guidelines.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Technical Expertise
As a Software Engineering Manager, you'll need to demonstrate your strong technical background. Be prepared to discuss your experience with Python, C++, and Java, and provide examples of complex systems you've built or scaled.
✨Highlight Leadership Experience
Since this role involves leading a team, it's crucial to share specific instances where you've successfully managed engineers. Discuss your leadership style, how you motivate your team, and any challenges you've overcome in a managerial capacity.
✨Prepare for Hands-On Questions
Expect technical questions that require you to think on your feet. Brush up on distributed model training and scalable deployment systems, as these are key areas for the role. Be ready to solve problems or design systems during the interview.
✨Demonstrate Your Vision for ML Integration
The role requires driving the integration of advanced ML capabilities. Prepare to discuss your vision for how machine learning can be applied in high-stakes environments, and share any relevant projects or ideas that showcase your forward-thinking approach.
