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For Companies At a Glance
- Tasks: Create innovative AI solutions for Portfolio Managers and enhance workflows with cutting-edge technology.
- Company: Join Millennium Management, a leader in finance and technology innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by developing AI systems that revolutionise the finance industry.
- Qualifications: PhD or Master's in a technical field with strong Python and AI experience.
- Other info: Collaborative and fast-paced environment with excellent career advancement potential.
The predicted salary is between 72000 - 108000 £ per year.
Responsibilities
- Understand and translate Portfolio Manager and business problems into robust, production-ready AI solutions.
- Design, build, test, deploy, and own LLM-based products that solve specific Portfolio Manager workflows and generalise into reusable AI capabilities.
- 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.
- Identify, design, and implement internal process and infrastructure improvements with a focus on scalability, reliability, and performance.
- Work closely with stakeholders across business and technology organisations to optimise product design and adoption in production environments.
Qualifications
- PhD in a technical field with 5+ years of industry experience, or Master’s degree with equivalent industry experience.
- Strong Python engineering experience, including object-oriented design, microservices, and REST API development.
- Hands-on experience building and operating production-grade LLM applications.
- 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.
- Experience fine-tuning or adapting models using techniques such as LoRA or PEFT.
- Experience developing end-to-end asynchronous applications and distributed systems.
- Experience deploying AI systems in cloud environments such as AWS or GCP.
- Strong interpersonal and communication skills with the ability to operate independently and collaboratively in a fast-paced environment.
AI Engineer - Equities Technology in City of Westminster employer: Millennium Management LLC
Contact Detail:
Millennium Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Equities Technology in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to LLMs and agentic systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨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 - Equities Technology in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with AI solutions, Python engineering, and any relevant projects that showcase your skills in building production-grade applications.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the AI Engineer role. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our team at StudySmarter.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include links to projects or GitHub repositories where we can see your work with LLM applications, agentic systems, or any other relevant technologies.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Millennium Management LLC
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and agentic AI systems. Be ready to discuss your hands-on experience with production-grade applications and how you've tackled real-world problems using AI. This is your chance to show off your technical chops!
✨Showcase Your Python Skills
Since strong Python engineering experience is a must, prepare to talk about your projects involving object-oriented design and REST API development. Bring examples of your work that highlight your ability to build scalable and reliable systems.
✨Communicate Clearly
You’ll need to work closely with stakeholders, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively, whether it’s about model selection or infrastructure improvements. Good communication can set you apart!
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to Portfolio Manager workflows. Think through how you would approach designing and implementing solutions, and be ready to discuss your thought process and decision-making.
