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.
- Other info: Dynamic start-up-like environment with excellent career development potential.
- 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.
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
As an AI Engineer at our company, you will be part of a dynamic and innovative team dedicated to leveraging cutting-edge AI/ML technologies to transform the financial landscape. We foster a collaborative work culture that encourages continuous learning and professional growth, offering access to advanced training and development opportunities. Located in a vibrant city, our workplace provides a stimulating environment where creativity thrives, and employees are empowered to make meaningful contributions to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨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/ML projects, especially those involving LLMs and deep learning. 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 problem-solving skills and coding challenges. Practice explaining your thought process clearly, as communication is key when collaborating with teams and stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Millennium
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI and machine learning. Be ready to discuss specific techniques like LLMs, deep learning, and reinforcement learning. Showing that you’re up-to-date will impress the interviewers and demonstrate your passion for the field.
✨Showcase Your Coding Skills
Since proficiency in Python and another programming language is key, prepare to showcase your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to AI/ML. This will help you feel more confident during the technical part of the interview.
✨Understand the Business Context
Engage with the job description by understanding how AI/ML can impact portfolio management and risk assessment. Be prepared to discuss how you would approach real-world problems in these areas. This shows that you can think beyond just the technical aspects and understand the business implications.
✨Communicate Effectively
Strong communication skills are essential, especially when collaborating with stakeholders. Practice explaining complex AI concepts in simple terms. This will not only help you during the interview but also show that you can work well in a team and convey your ideas clearly.
