AI Engineer - Investment Management in City of London
AI Engineer - Investment Management

AI Engineer - Investment Management in City of London

City of London Full-Time 90000 - 100000 £ / year (est.) No home office possible
Pharos Resource Partners

At a Glance

  • 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 degree in a related field.
  • Other info: Join a high-performing team and take ownership of projects early in your career.

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 City of London employer: Pharos Resource Partners

Join a leading asset manager in London, where you will thrive in a dynamic work culture that values innovation and collaboration. With a focus on real-world AI applications, this role offers exceptional growth opportunities and the chance to make a tangible impact on business operations. Enjoy competitive compensation and the unique advantage of working in a high-performing buy-side environment that encourages proactive problem-solving and direct engagement with stakeholders.
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 City of 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

Prepare for those interviews! Brush up on your AI/ML knowledge and be ready to discuss how you've turned ideas into production-ready tools. We want to see your passion for building impactful solutions!

✨Tip Number 3

Showcase your projects! Whether it's a GitHub repo or a portfolio, make sure you highlight your best work. This is your chance to demonstrate your skills and creativity in AI engineering.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace AI Engineer - Investment Management in City of London

AI / ML Solutions Design
Stakeholder Engagement
Full Lifecycle Ownership
Collaboration with Data Teams
Communication Skills
Proactive Problem Solving
Impactful Solution Development
Experience in Data Science
Experience in Engineering
Degree in Computer Science
Curiosity and Initiative

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your experience in AI, ML, and any relevant projects you've worked on. We want to see how you can bring value to our team!

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 great fit for this position. Don’t forget to mention your eagerness to work in a buy-side environment.

Showcase Your Communication Skills: Since this role involves working directly with stakeholders, it's crucial to demonstrate your communication skills. In your application, give examples of how you've effectively collaborated with others to deliver solutions.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!

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 machine learning knowledge. 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.

✨Understand the Business Context

Since this position involves working closely with stakeholders, it’s crucial to understand the asset management industry. Research how AI is currently being used in investment management and think about how your skills can contribute to that. Showing that you can connect technical solutions to business needs will set you apart.

✨Prepare for Technical Questions

Expect some technical questions during the interview. Brush up on your coding skills and be ready to solve problems on the spot. Practising common algorithms and data structures can help you feel more confident. Remember, they want to see how you think and approach problem-solving.

✨Show Your Communication Skills

As a strong communicator, you’ll need to explain complex concepts to non-technical stakeholders. Practice articulating your thoughts clearly and concisely. You might even want to prepare a few examples of how you've successfully communicated technical information in the past.

AI Engineer - Investment Management in City of London
Pharos Resource Partners
Location: City of London

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