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For Companies At a Glance
- Tasks: Design and deliver impactful AI/ML solutions in a dynamic investment management environment.
- Company: Leading asset manager with a focus on innovation and collaboration.
- Benefits: Competitive salary, exposure to business decision-making, and career growth opportunities.
- Other info: Join a high-performing team and take ownership of projects early in your career.
- Why this job: Work on real-world AI applications that directly influence business operations.
- Qualifications: 2 years’ experience in AI/ML and a degree in a related field.
The predicted salary is between 90000 - 100000 £ per year.
We’re partnering with a leading asset manager to hire an AI Engineer into a highly visible, business-facing role. This is an opportunity to work on real-world AI applications in a buy-side environment - not just building models, but delivering solutions that directly impact how the business operates.
What You’ll Be Doing
- Designing and delivering AI / ML solutions used across the business
- Working directly with stakeholders to turn ideas into production-ready tools
- Owning the full lifecycle: concept → build → deploy → iterate
- Collaborating with data and engineering teams to scale solutions effectively
What They’re Looking For
- 2 years’ experience in AI / ML / Data Science / Engineering
- Degree in Computer Science, Data Science, Machine Learning or similar
- Strong communicator - comfortable working directly with business users
- Curious, proactive, and keen to build impactful solutions
Why This Role
- Work on AI that actually gets used
- Gain exposure to front-office and business decision-making
- Build end-to-end ownership early in your career
- Join a high-performing buy-side environment
Details
- 12-month fixed-term contract
- £90,000–£100,000 base, depending on experience
- London-based
- Available within 6 weeks or less
If you’re looking to move beyond theory and build AI solutions with real impact, this is a standout opportunity.
AI Engineer - Investment Management employer: Pharos Resource Partners
Contact Detail:
Pharos Resource Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Investment Management
✨Tip Number 1
Network like a pro! Reach out to people in the asset management and AI space on LinkedIn. A friendly message can go a long way, and who knows, they might just have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Brush up on your AI/ML knowledge and be ready to discuss how you've delivered solutions in the past. We want you to showcase your skills and how they can impact the business directly.
✨Tip Number 3
Don’t forget to tailor your approach! When you apply through our website, make sure to highlight your experience with stakeholders and your ability to turn ideas into production-ready tools. It’s all about showing you’re the perfect fit!
✨Tip Number 4
Stay curious and proactive! Keep learning about the latest trends in AI and investment management. This will not only help you in interviews but also show potential employers that you're genuinely interested in making an impact.
We think you need these skills to ace AI Engineer - Investment Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Engineer. Highlight your experience in AI, ML, and Data Science, and don’t forget to mention any projects where you’ve delivered real-world solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills align with what we’re looking for. Be genuine and let your personality come through.
Showcase Your Communication Skills: Since this role involves working closely with stakeholders, make sure to demonstrate your strong communication skills in your application. Use clear language and examples that show you can bridge the gap between tech and business.
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Pharos Resource Partners
✨Know Your AI Inside Out
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This role is all about delivering real-world solutions, so be prepared to showcase your practical experience.
✨Communicate Like a Pro
Since this position involves working directly with stakeholders, practice explaining complex technical concepts in simple terms. Think about how you can convey your ideas clearly and effectively, as strong communication skills are key to success in this role.
✨Show Your Curiosity
Demonstrate your proactive nature by asking insightful questions during the interview. This shows that you're not just interested in the job, but also in how you can contribute to the business. Think about what you want to learn from the role and how you can make an impact.
✨Prepare for Real-World Scenarios
Expect to discuss how you would approach designing and delivering AI solutions. Prepare examples of how you've collaborated with teams in the past and be ready to talk about the full lifecycle of a project. This will help you illustrate your end-to-end ownership capabilities.