Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create innovative AI/ML solutions to support portfolio managers and researchers.
- Company: Join a leading financial institution embracing cutting-edge technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in finance using the latest AI advancements.
- Qualifications: Strong knowledge of AI/ML, proficiency in Python, and cloud computing experience.
- Other info: Dynamic start-up-like environment with excellent career development prospects.
The predicted salary is between 36000 - 60000 £ per year.
We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are: enabling traders/researchers to consume vast amounts of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to price instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades; modeling and building simulations of risk.
The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re-training, etc.
We are seeking an AI/ML SWE who has experience with LLMs, deep learning, reinforcement learning as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and productionization.
Key Responsibilities- Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space.
- Experiment, iterate, productionize AI/ML solutions.
- Build supporting data and AI/ML infrastructure and tools.
- Strong knowledge of the latest advancements in AI and machine learning.
- Strong fundamentals in computer science.
- Proficiency in Python and at least 1 other language such as Java, C++, C#, etc.
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
- Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc.
- Ability to build and evaluate AI models and tools using quantifiable metrics.
- Excellent problem-solving skills and ability to work independently as well as part of a team.
- Strong communication skills to effectively collaborate with developers and other stakeholders.
- Adaptable and willing to work in a start-up-like environment within a major institution.
- Advanced degree in Computer Science, AI, Machine Learning, or a related field.
- Experience in developing AI solutions for financial institutions.
- Knowledge of additional programming languages and frameworks.
AI Engineer. in London employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer. in London
✨Network Like a Pro
Get out there and connect with people in the AI/ML space! Attend meetups, webinars, or conferences where you can chat with industry professionals. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to demonstrate your expertise in LLMs, deep learning, and all that good stuff!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and be ready to discuss your past projects. Confidence is key, so show them what you've got!
✨Apply Through Us!
Don't forget to check out our website for job openings! Applying directly through us not only gives you a better chance but also keeps you in the loop about new opportunities in the AI/ML field. Let's land that job together!
We think you need these skills to ace AI Engineer. in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML, especially with LLMs and deep learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the AI Engineer role. Share your passion for AI/ML and how you’ve tackled similar challenges in the past. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've approached complex problems in AI/ML. We love candidates who can think critically and come up with innovative solutions, so let us know how you’ve done this before!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Millennium Management
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI and machine learning. Be ready to discuss your experience with LLMs, deep learning, and reinforcement learning. They’ll want to see that you’re not just familiar with these concepts but can also apply them practically.
✨Show Off Your Coding Skills
Since proficiency in Python and another programming language is key, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarity with cloud platforms like AWS or Azure will also give you an edge.
✨Communicate Clearly
Strong communication skills are essential for collaborating with stakeholders and quants. Practice explaining complex AI concepts in simple terms. This will show that you can bridge the gap between technical and non-technical team members.
✨Be Ready to Problem-Solve
Expect to face some real-world problems during the interview. Think about how you would approach building AI/ML solutions and be ready to discuss your thought process. Highlight your problem-solving skills and your ability to work independently as well as part of a team.
