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- Tasks: Advance machine learning technologies and collaborate on production systems.
- Company: Global investment banking firm in London with a focus on diversity.
- Benefits: Competitive salary, health and wellness programs, and a supportive work environment.
- Why this job: Join us to redefine the AI landscape in finance and make a real impact.
- Qualifications: Hands-on experience with Python and 1-3 years in AI/ML.
- Other info: Dynamic role with opportunities for growth in a cutting-edge field.
The predicted salary is between 36000 - 60000 £ per year.
A global investment banking firm in London is seeking an Applied AI Researcher to advance machine learning technologies. The role requires hands-on experience with Python and 1-3 years in AI/ML.
Responsibilities include:
- Collaborating on production systems
- Maintaining high-quality software
The firm promotes diversity and offers competitive benefits including health and wellness programs. Join us in redefining the AI landscape in finance.
Applied AI Researcher—ML Systems for Finance (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 AI Researcher—ML Systems for Finance (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any AI/ML work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. We recommend practicing with friends or using online platforms to simulate the experience.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied AI Researcher—ML Systems for Finance (London)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your hands-on experience with Python in your application. We want to see how you've used it in real-world projects, especially in AI/ML contexts.
Tailor Your Experience: When writing your application, focus on your 1-3 years of experience in AI/ML. We’re looking for specific examples of how you’ve contributed to production systems and maintained high-quality software.
Emphasise Collaboration: Since this role involves working closely with others, don’t forget to mention any collaborative projects you've been part of. We love seeing how you work with teams to achieve common goals.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Goldman Sachs Group Inc
✨Know Your Python Inside Out
Since the role requires hands-on experience with Python, make sure you brush up on your coding skills. Be prepared to discuss your previous projects and how you've used Python in machine learning applications. Practising coding challenges can also help you feel more confident.
✨Showcase Your AI/ML Experience
With 1-3 years of experience in AI/ML being a requirement, highlight specific projects or roles where you've applied these technologies. Be ready to explain your thought process and the impact of your work. This will demonstrate your ability to contribute effectively to their production systems.
✨Collaborate and Communicate
Collaboration is key in this role, so be prepared to discuss how you've worked with others in past projects. Share examples of how you’ve communicated complex ideas to non-technical stakeholders. This shows that you can maintain high-quality software while working as part of a team.
✨Embrace Diversity and Inclusion
The firm promotes diversity, so it’s important to express your commitment to an inclusive workplace. Think about how your unique background or experiences can contribute to a diverse team. This will resonate well with their values and show that you’re a good cultural fit.
