At a Glance
- Tasks: Design and deploy ML systems that shape investor decision-making.
- Company: Toggle AI, a leader in finance technology with a high-trust culture.
- Benefits: Competitive salary, significant technical autonomy, and a supportive work environment.
- Other info: Join a dynamic team in London with great career growth potential.
- Why this job: Make a real impact on how investors use AI for insights.
- Qualifications: Strong Python skills and 5+ years in ML systems required.
The predicted salary is between 90000 - 160000 £ per year.
Toggle AI is looking for an experienced ML Engineer to design and deploy systems that directly impact how professional investors make decisions. This role requires a strong background in Python and a minimum of 5 years in ML systems, with an emphasis on AI-integrated core products.
Successful candidates will enjoy significant technical autonomy and influence in a high-trust office environment in London, with a competitive salary ranging from £90,000 to £160,000.
ML Engineer – Finance AI for Investor Insights (Equity) employer: Toggle AI
At Toggle AI, we pride ourselves on being an exceptional employer that fosters innovation and creativity in the heart of London. Our collaborative work culture empowers ML Engineers to take ownership of their projects while enjoying competitive salaries and ample opportunities for professional growth in the rapidly evolving field of finance AI. Join us to make a meaningful impact on how investors make decisions, all within a supportive and high-trust environment.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer – Finance AI for Investor Insights (Equity)
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and AI sectors on LinkedIn. A friendly message can open doors, and who knows, they might just refer you to your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to finance. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace ML Engineer – Finance AI for Investor Insights (Equity)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and ML systems in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your previous projects relate to AI-integrated products and how you can contribute to our mission at Toggle AI.
Be Authentic:We love seeing the real you! Don’t be afraid to let your personality shine through in your written application. Share your passion for ML and finance, and why you’re excited about this opportunity.
Apply Through Our Website:For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to review your details and get back to you quickly!
How to prepare for a job interview at Toggle AI
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals, especially those relevant to finance. Be ready to discuss your past projects in detail, focusing on how you've designed and deployed ML systems that have made a real impact.
✨Python Proficiency is Key
Since this role requires a strong background in Python, be prepared to showcase your coding skills. You might be asked to solve problems on the spot, so practice coding challenges and be ready to explain your thought process as you work through them.
✨Understand the Business Context
Familiarise yourself with how AI influences investment decisions. Research current trends in finance AI and think about how your skills can contribute to Toggle AI's mission. This will show your genuine interest in the role and the company.
✨Showcase Your Autonomy
This position offers significant technical autonomy, so be ready to discuss times when you've taken initiative in your previous roles. Share examples of how you've influenced projects or decisions, demonstrating your ability to thrive in a high-trust environment.
