Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive AI and ML technologies to solve real-world challenges in finance.
- Company: Join Goldman Sachs, a leading global investment banking firm with a diverse culture.
- Benefits: Enjoy professional growth, wellness programs, and a supportive work environment.
- Why this job: Make an impact by redefining finance through cutting-edge AI research.
- Qualifications: Master's or Ph.D. in relevant fields with hands-on AI/ML experience.
- Other info: Collaborative team atmosphere with opportunities to represent the company globally.
The predicted salary is between 36000 - 60000 ÂŁ per year.
At Goldman Sachs, our Engineers don’t just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Goldman Sachs is seeking an Applied AI Researcher to join our dynamic Applied Artificial Intelligence (AI) Research team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting‑edge AI and Machine Learning (ML) technologies at the firm. In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of what’s possible in the intersection of quantitative research and artificial intelligence!
Your Responsibilities
- Collaborating effectively with colleagues to advance production machine‑learning systems and applications.
- Conceptualizing, experimenting with, and assessing AI/ML‑based software systems.
- Developing, testing, and maintaining high‑quality, production‑ready code.
- Demonstrating technical leadership by taking charge of cross‑team projects.
- Creating libraries and frameworks that underpin reliable and testable systems.
- Represent Goldman Sachs at conferences and within open‑source communities.
Required Qualifications
- Strong hands‑on experience building and maintaining large‑scale Python applications.
- A Master’s or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
- A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
- Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi‑asset strategies.
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. We believe who you are makes you better at what you do. We’re committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from training and development opportunities and firm‑wide networks to benefits, wellness and personal finance offerings and mindfulness programs.
Applied Research - Artificial Intelligence - London - Associate employer: Goldman Sachs, Inc.
Contact Detail:
Goldman Sachs, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Research - Artificial Intelligence - London - Associate
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Goldman Sachs. Use LinkedIn to connect and engage with them. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your AI/ML projects. When you get the chance to chat with recruiters or during interviews, having tangible examples of your work can really set you apart.
✨Tip Number 3
Stay updated on industry trends! Follow the latest developments in AI and machine learning. Being able to discuss current topics during interviews shows you're passionate and knowledgeable about the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining Goldman Sachs. Don’t miss out on this opportunity!
We think you need these skills to ace Applied Research - Artificial Intelligence - London - Associate
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied Research role. Highlight your experience in AI/ML and how it aligns with what Goldman Sachs is looking for. We want to see how you can contribute to their innovative projects!
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Include specific examples of your work with Python applications and any relevant projects you've tackled. This is your chance to shine, so let us see your best work!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for the hiring team to see your potential.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining the team at Goldman Sachs!
How to prepare for a job interview at Goldman Sachs, Inc.
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be prepared to discuss your hands-on experience with Python applications and how you've tackled challenges in the financial domain. This will show that you're not just knowledgeable but also passionate about the field.
✨Showcase Your Collaboration Skills
Goldman Sachs values teamwork, so be ready to share examples of how you've effectively collaborated with colleagues on projects. Highlight any cross-team initiatives you've led or participated in, as this demonstrates your ability to work well in a dynamic environment.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of machine learning concepts and software development practices. Brush up on your coding skills and be ready to solve problems on the spot. Practising coding challenges can help you feel more confident during the interview.
✨Demonstrate Your Leadership Potential
Even if you're applying for an associate role, showing that you have the potential for technical leadership can set you apart. Discuss any experiences where you've taken charge of projects or mentored others, as this aligns with Goldman Sachs' emphasis on technical leadership.