Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive AI and ML innovations, collaborating on cutting-edge projects in finance.
- Company: Join Goldman Sachs, a leading global investment firm with a commitment to innovation.
- Benefits: Competitive salary, diverse culture, professional growth, and wellness programs.
- Why this job: Make a real impact by redefining finance through advanced AI technologies.
- Qualifications: Master’s or Ph.D. in relevant fields and 5+ years of industry experience.
- Other info: Dynamic environment with opportunities for personal and professional development.
The predicted salary is between 72000 - 108000 ÂŁ per year.
What We Do
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. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Who We Look For
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 generative AI, machine learning, deep learning, natural language processing, information retrieval, and time series analysis. 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 will include:
- 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.
- Representing Goldman Sachs at conferences and within open‑source communities.
Qualifications we seek:
- 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 5 years of 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.
Applied Research - Artificial Intelligence - London - VP in City of London employer: Goldman Sachs Group, Inc.
Contact Detail:
Goldman Sachs Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Research - Artificial Intelligence - London - VP in City of London
✨Tip Number 1
Network like a pro! Reach out to people in your field, 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! If you’ve got a project or a portfolio, make sure to highlight it during interviews. Bring examples of your work that relate to AI and ML, and be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and data structures, especially in Python. We all know that being technically sharp can set you apart from the competition!
✨Tip Number 4
Don’t forget to 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 and being part of our innovative team.
We think you need these skills to ace Applied Research - Artificial Intelligence - London - VP in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role you're applying for. Highlight your experience in AI and machine learning, especially any projects that align with the job description. We want to see how your skills can help us push the boundaries of what's possible!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Be sure to mention specific technologies or methodologies you've worked with that relate to the role.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to our recruitment team. Plus, it shows us you’re serious about joining our dynamic team!
How to prepare for a job interview at Goldman Sachs Group, Inc.
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI and machine learning. Brush up on generative AI, deep learning, and natural language processing, as these are key areas for the role. Being able to discuss recent advancements or projects you've worked on will show your passion and expertise.
✨Showcase Your Coding Skills
Since the role requires strong Python skills, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Bring examples of your work that highlight your experience with large-scale applications and production-ready code.
✨Collaborate and Communicate
This position involves working closely with colleagues across teams. Be ready to discuss how you’ve successfully collaborated on past projects. Highlight your communication skills and how you’ve led cross-team initiatives, as this will be crucial for demonstrating your fit within their dynamic environment.
✨Prepare Questions About Their Challenges
Research Goldman Sachs and think about the unique challenges they face in applying AI in finance. Prepare insightful questions that show you understand their business and are eager to contribute solutions. This not only demonstrates your interest but also your strategic thinking capabilities.
