Applied AI Engineer – Equities

Applied AI Engineer – Equities

Full-Time 72000 - 88000 £ / year (est.) On-site
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At a Glance

  • Tasks: Create innovative AI solutions for trading teams to enhance market performance.
  • Company: Global alternative investment firm focused on evolution and innovation.
  • Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
  • Other info: Dynamic role with potential for permanent placement within investment teams.
  • Why this job: Join a cutting-edge team and make a real impact in finance with AI.
  • Qualifications: Master’s or Bachelor’s degree in a technical field and 5+ years of experience.

The predicted salary is between 72000 - 88000 £ per year.

Applied AI Engineer – Equities About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989.

Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning.

With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time.

Discover how transformative growth accelerates impact.

Meet the Team We are deploying bespoke AI workflows directly to trading teams that will enable them to beat the market by utilizing these new technologies.

Our team is searching for Applied AI engineers for this mandate.

The ideal candidate will have a blend of rapid prototyping and software engineering skills.

Focus is on end-to-end solutions in a forward deployed engineer capacity.

The candidate should be highly flexible, able to quickly explore feasibility, and deploy durable solutions.

What You’ll Do Engage directly with portfolio managers in an advisory capacity.

Understand and translate Portfolio Manager and business problems into robust, production-ready AI solutions.

Design, build, test, deploy, and own LLM-based solutions that solve specific Portfolio Manager workflows and generalize into reusable AI capabilities.

Rapidly prototype and iterate based on subject expert evaluation.

Design and implement agentic AI systems that perform multi-step reasoning, planning, and tool execution.

Own the end-to-end LLM architecture and lifecycle, including prompt design, model selection, evaluation, deployment, and iteration.

Spend an initial 3–6 months partnering with multiple Portfolio Manager teams to gain fluency in Millennium's technology stack and deliver robust solutions.

Successful engineers will have the opportunity to embed with a dedicated investment team for six months, with the potential for permanent placement.

What You Bring Master’s or Bachelor’s degree in a technical field with 5+ years of industry experience.

Strong interpersonal and communication skills with the ability to operate independently and collaboratively in a fast-paced environment.

Knowledge of financial markets, particularly Equities, including experience with market data and documents.

Experience with agentic and LLM frameworks.

Strong understanding of agentic patterns including tool use, planning, memory, and reflection.

Experience with retrieval-augmented generation, vector databases, and semantic search systems.

  • Recruiter: Ruby Kazmi
  • Hiring Manager: Forrest Henderson
  • Department: Information Technology

Applied AI Engineer – Equities employer: Millennium Management

Millennium is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to take ownership of their ideas while providing robust support through a global network. With a strong focus on professional development and continuous learning, the company offers unique opportunities for growth within the dynamic field of international operations, making it an ideal place for those seeking meaningful and impactful careers in the financial markets.

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Contact Details:

Millennium Management Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied AI Engineer – Equities

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We think you need these skills to ace Applied AI Engineer – Equities

Rapid Prototyping
Software Engineering
AI Solutions Development
End-to-End Solution Design
Interpersonal Skills
Communication Skills
Financial Markets Knowledge

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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