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- Tasks: Design and implement AI-driven models to support investment professionals.
- Company: Join a leading asset management firm with a collaborative culture.
- Benefits: Enjoy training opportunities, gym reimbursements, and performance-based incentives.
- Why this job: Innovate with cutting-edge AI technology and make a real impact in finance.
- Qualifications: PhD in AI/ML, Python proficiency, and financial services experience preferred.
- Other info: Be part of a supportive community that values fresh ideas and personal growth.
The predicted salary is between 36000 - 60000 £ per year.
Capstone is one of the leading asset management firms in derivatives and complementary strategies. With approximately $12 billion of AUM and over 330 employees, Capstone was formed in 2007 and is headquartered in New York with offices in London, Amsterdam, Milan, Los Angeles, Hong Kong, Stamford, and Boston.
For that reason, we take a human approach to everything we do, focusing largely on collaborative performance.
- Design and implement AI/ML/LLM-driven models, tools, workflows, and agents to support investment professionals.
- Develop, integrate, and maintain AI features into products (e.g. chat agents, copilots, automation pipelines).
- Implement retrieval augmented generation (RAG), MCPs, function calling, and internal integrations (e.g. databases, APIs, services).
- Research, prototype and deploy AI applications using Python.
- Engage with domain experts to identify, evaluate, and execute high-value AI use cases.
Qualifications:
- D. in Artificial Intelligence, Machine Learning, or a related field required.
- Proficiency in Python programming.
- Experience with OpenAI API, Anthropic API, and building MCP servers/clients.
- Financial services/hedge fund experience is preferred.
Benefits & Compensation Information:
Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this.
- Training and development opportunities.
- Physical, Mental and Financial benefits.
- Time-Off, Retirement and Commuter Benefits.
- Gym Reimbursement and other Discounts.
The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. In addition to the base salary, this position may be eligible for performance-based incentives. This role is also eligible for an annual incentive plan.
To learn even more about being part of the team, visit us online. Our commitment to a nondiscriminatory approach extends equal opportunities for employment and advancement across our programs, departments, and locations. We actively seek and appreciate a variety of life experiences and heritages and advocate for the amplification of all voices.
Experimentation: We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies. You’ll join a supportive community where everyone’s input matters, and we learn from each other every day.
Trust: We believe in building strong, honest relationships. We commit to high standards and a disciplined approach, helping you grow both personally and professionally.
Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.
AI Engineer in London employer: Capstone Investment Advisors
Contact Detail:
Capstone Investment Advisors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Capstone. A friendly chat can sometimes open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python or relevant APIs. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and case studies. Practice explaining your thought process clearly, as communication is key in collaborative environments like Capstone.
✨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 being part of our team.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with AI/ML models and Python programming, as these are key to what we’re looking for at Capstone.
Showcase Your Projects: Include any relevant projects or prototypes you've worked on, especially those involving AI applications. This gives us a glimpse of your hands-on experience and creativity in the field.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your skills and experiences shine through without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role.
How to prepare for a job interview at Capstone Investment Advisors
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, ML, and LLMs. Capstone is looking for someone who can design and implement models, so be ready to discuss your experience with Python and any relevant APIs like OpenAI or Anthropic.
✨Showcase Your Collaborative Spirit
Since Capstone values a human approach and collaborative performance, think of examples where you've worked well in a team. Be prepared to share how you engaged with domain experts to identify and execute high-value AI use cases.
✨Prepare for Technical Questions
Expect some technical questions about implementing features into products, such as chat agents or automation pipelines. Brush up on retrieval augmented generation (RAG) and internal integrations, and be ready to explain your thought process.
✨Demonstrate Your Passion for Innovation
Capstone loves fresh ideas, so come prepared with examples of how you've experimented with new technologies or approaches in your previous roles. Show them that you're not just a follower but someone who actively seeks to innovate.