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) in London employer: Toggle AI
At Toggle AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides a high-trust environment where ML Engineers can thrive with significant technical autonomy, competitive salaries, and ample opportunities for professional growth in the rapidly evolving field of finance AI.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer – Finance AI for Investor Insights (Equity) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to finance. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and ML concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace ML Engineer – Finance AI for Investor Insights (Equity) in London
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. We love seeing candidates who take the time to connect their experiences to what we’re looking for in an ML Engineer for Finance AI.
Be Authentic:Let your personality shine through in your written application. We value authenticity and want to get a sense of who you are beyond just your qualifications. Don’t be afraid to share your passion for AI and finance!
Apply Through Our Website:We encourage you to submit your application directly 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!
How to prepare for a job interview at Toggle AI
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss your experience with Python and any specific ML systems you've designed or deployed. They’ll want to see how your skills can directly impact their AI-integrated products.
✨Showcase Your Projects
Prepare to talk about your past projects in detail. Highlight how your work has influenced decision-making for investors or similar stakeholders. Use concrete examples to demonstrate your technical autonomy and the results of your contributions.
✨Understand Their Business
Do some homework on Toggle AI and their focus on investor insights. Familiarise yourself with the finance sector and how AI is shaping it. This will show that you're not just a tech whiz but also understand the context in which your work will be applied.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the role and the company. Inquire about their current projects, team dynamics, and how they envision the future of AI in finance. This shows you’re engaged and serious about contributing to their mission.
