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- Tasks: Design and deliver impactful AI/ML solutions in a dynamic asset 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.
- Why this job: Work on real-world AI applications that directly influence business operations.
- Qualifications: 2 years’ experience in AI/ML and a relevant degree.
- Other info: Join a high-performing team and take ownership of your projects.
The predicted salary is between 90000 - 100000 £ per year.
London | Asset Management | 12-Month FTC | £90,000–£100,000
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 in London 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 in London
✨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 you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and investment management. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer - Investment Management in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your experience in AI, ML, and any relevant projects you've worked on that demonstrate your ability to deliver impactful solutions.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how your background makes you a great fit. Be sure to mention your communication skills and your proactive approach to problem-solving.
Showcase Your Projects: If you've worked on any AI or ML projects, make sure to include them in your application. We want to see how you've taken ideas from concept to deployment and the impact they've had on previous businesses.
Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining our team at StudySmarter.
How to prepare for a job interview at Pharos Resource Partners
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss specific projects you've worked on, especially those that had a real-world impact. This role is all about delivering solutions, so be prepared to explain how your work has made a difference.
✨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 you're genuinely interested in the role and the company. Think about what challenges the business might face and how your skills can help solve them.
✨Prepare for Collaboration
Be ready to discuss how you've collaborated with data and engineering teams in the past. Highlight any experiences where you’ve owned the full lifecycle of a project, from concept to deployment. This will show that you understand the importance of teamwork in delivering effective AI solutions.