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- Tasks: Lead projects in machine learning, from design to deployment in real-world applications.
- Company: Join a cutting-edge, research-driven investment firm focused on impactful ML solutions.
- Benefits: Enjoy a collaborative environment with opportunities for mentorship and professional growth.
- Why this job: Work on high-stakes problems and make measurable decisions that influence the market.
- Qualifications: 5–10+ years in applied ML/statistics; PhD or equivalent experience required.
- Other info: Visa sponsorship and relocation support available for the right candidates.
The predicted salary is between 54000 - 84000 £ per year.
A well-funded, research-driven investment firm is hiring experienced ML researchers to work on high-impact problems in forecasting and optimization. The team combines deep machine learning expertise with vast, noisy real-world datasets to make fast, measurable decisions at scale. You’ll lead projects from idea to production — designing models, running experiments, mentoring researchers, and deploying systems that operate live in the market. The environment is collaborative, flat, and driven by curiosity — no silos, no bureaucracy, and no chasing short-term hype.
What you’ll do:
- Build and deploy predictive models using advanced ML/statistical methods
- Lead complex research initiatives with clear, real-world feedback loops
- Mentor team members and shape research direction
- Stay close to academic progress and apply it pragmatically
What we’re looking for:
- 5–10+ years in applied ML/statistics roles
- PhD (or equivalent experience) in a technical field
- Strong coding (Python or R) and production-level model experience
- Interest in applying research to real-world, high-stakes decisions
- Visa sponsorship and relocation support available.
Machine Learning Researcher – Applied ML | Stealth Quant Firm employer: NJF Global Holdings Ltd
Contact Detail:
NJF Global Holdings Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher – Applied ML | Stealth Quant Firm
✨Tip Number 1
Network with professionals in the machine learning and quantitative finance sectors. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and learn about the latest trends in applied ML.
✨Tip Number 2
Showcase your practical experience by working on personal projects or contributing to open-source initiatives. This not only demonstrates your coding skills but also your ability to apply ML techniques to real-world problems.
✨Tip Number 3
Stay updated with the latest research in machine learning and statistics. Follow key publications and authors in the field, and be prepared to discuss how you can apply these insights to the firm's objectives during interviews.
✨Tip Number 4
Prepare to discuss your mentoring experiences and how you've led research initiatives in the past. Highlight specific examples where your leadership made a significant impact on project outcomes or team development.
We think you need these skills to ace Machine Learning Researcher – Applied ML | Stealth Quant Firm
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in applied machine learning and statistics. Focus on relevant projects, especially those involving predictive models and real-world applications, to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it can be applied to high-stakes decisions. Mention specific experiences that align with the job description, such as leading research initiatives or mentoring team members.
Showcase Technical Skills: Clearly outline your coding skills, particularly in Python or R, and provide examples of production-level models you have developed. This will help the firm see your technical capabilities and readiness for the role.
Highlight Collaborative Experience: Since the firm values a collaborative environment, include examples of how you've worked in teams, mentored others, or contributed to a flat organisational structure. This will show that you can thrive in their unique culture.
How to prepare for a job interview at NJF Global Holdings Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and statistical methods in detail. Highlight specific projects where you've built and deployed predictive models, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Research Leadership
Since the role involves leading complex research initiatives, share examples of how you've mentored team members or shaped research direction in previous positions. This will show your ability to guide others and contribute to a collaborative environment.
✨Connect Theory to Practice
The firm values pragmatic applications of research, so be sure to discuss how you've applied academic concepts to real-world problems. Prepare to give examples of how your work has led to measurable outcomes in high-stakes situations.
✨Prepare for Coding Challenges
As strong coding skills in Python or R are essential, expect technical questions or coding challenges during the interview. Brush up on your coding abilities and be ready to demonstrate your problem-solving skills in a live coding environment.
