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- Tasks: Develop AI-powered solutions that enhance decision-making for global enterprises.
- Company: Innovative tech company based in Greater London with a dynamic engineering team.
- Benefits: Exciting growth opportunities and a collaborative work culture.
- Why this job: Make a real impact with cutting-edge technology in a supportive environment.
- Qualifications: Experience in Clojure, Python, TypeScript, and strong communication skills.
- Other info: Emphasis on teamwork and adaptability in a fast-paced setting.
The predicted salary is between 36000 - 60000 £ per year.
A technology innovator based in Greater London is looking for a Software Engineer (Risk) to join their dynamic engineering team. You will mainly work on developing robust AI-powered solutions that directly impact decision-making for global enterprises.
Ideal candidates should have experience in diverse technologies such as Clojure, Python, and TypeScript, as well as a strong focus on observability and proactive communication.
The role offers exciting growth opportunities in a collaborative work culture, emphasising the importance of teamwork and adaptability.
Software Engineer – Risk Intelligence & AI in London employer: Signal AI
Contact Detail:
Signal AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer – Risk Intelligence & AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at the company. A friendly chat can sometimes lead to a referral, which is a golden ticket in landing that Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those using Clojure, Python, or TypeScript. Having tangible examples of your work can really impress hiring managers and set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss how you've tackled problems in past projects. Remember, they want to see your thought process as much as your final solution!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Software Engineer position together!
We think you need these skills to ace Software Engineer – Risk Intelligence & AI in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Clojure, Python, and TypeScript in your application. We want to see how your skills can contribute to our AI-powered solutions!
Be Proactive: Since we value proactive communication, don’t hesitate to share examples of how you've effectively communicated in past projects. This will show us you’re a great fit for our collaborative culture.
Tailor Your Application: Take the time to customise your application for this role. Mention specific projects or experiences that relate to risk intelligence and decision-making, so we can see your passion for the field.
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 Signal AI
✨Know Your Tech Stack
Make sure you brush up on Clojure, Python, and TypeScript before the interview. Be ready to discuss your experience with these technologies and how you've used them in past projects. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in software development, especially related to AI and risk intelligence. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your solutions made a difference.
✨Emphasise Teamwork and Communication
Since the role values collaboration, be ready to share examples of how you've worked in teams. Talk about how you communicate proactively with colleagues and stakeholders, and how this has led to successful project outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI and risk intelligence. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values, especially regarding adaptability and growth opportunities.
