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- Tasks: Develop and maintain AI-driven applications while solving complex business problems.
- Company: Leading trading firm in London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Join a team using cutting-edge technology to make a real impact.
- Qualifications: Degree in Computer Science, 3+ years in machine learning, and strong Python skills.
- Other info: Collaborative culture with traders and technologists.
The predicted salary is between 43200 - 72000 £ per year.
A leading trading firm in London seeks an AI Engineer to develop and maintain AI-driven applications. You will collaborate with traders and technologists, tackle complex business problems, and implement AI technologies.
The ideal candidate has:
- a degree in Computer Science
- 3+ years in machine learning
- excellent Python programming skills
This role offers the chance to work with cutting-edge technology in a dynamic environment.
AI Engineer: ML Infrastructure & Production in London employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: ML Infrastructure & Production in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in trading firms or AI. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and demonstrate your Python prowess.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges online, and don't forget to explain your thought process – it’s all about collaboration!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team and working with cutting-edge technology.
We think you need these skills to ace AI Engineer: ML Infrastructure & Production in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python programming. 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 shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about working in a trading firm.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and apply AI technologies effectively, so share those experiences with us!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at DRW
✨Know Your AI Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your past projects and how you've applied AI technologies in real-world scenarios. This will show that you not only understand the theory but can also implement it effectively.
✨Python Proficiency is Key
Since excellent Python programming skills are a must, practice coding problems and be prepared to demonstrate your coding abilities during the interview. Familiarise yourself with libraries like TensorFlow or PyTorch, as they might come up in discussions.
✨Collaborate Like a Pro
This role involves working closely with traders and technologists, so be ready to talk about your teamwork experiences. Share examples of how you've successfully collaborated on projects, tackled complex problems, and communicated technical concepts to non-technical stakeholders.
✨Stay Updated on Trends
The tech world moves fast, especially in AI. Make sure you're aware of the latest trends and advancements in AI and machine learning. Being able to discuss current developments will show your passion for the field and your commitment to continuous learning.
