At a Glance
- Tasks: Design, build, and scale AI systems for financial institutions.
- Company: Pioneering AI company based in Edinburgh with a focus on innovation.
- Benefits: Hybrid working model, competitive benefits, and a collaborative environment.
- Why this job: Join a small, technical team and contribute to cutting-edge AI solutions.
- Qualifications: 4+ years of experience, strong cloud infrastructure knowledge, and software quality passion.
- Other info: Dynamic role with opportunities for professional growth in the AI sector.
The predicted salary is between 43200 - 72000 £ per year.
A pioneering AI company based in Edinburgh is looking for a software engineer to design, build, and scale AI systems for financial institutions. The role involves strong engineering, problem-solving, and collaboration within a small, technical team.
Ideal candidates will have:
- At least 4 years of experience
- Solid knowledge of cloud infrastructure
- A passion for quality in software development
Enjoy a hybrid working model alongside competitive benefits while contributing to innovative AI solutions.
Platform Engineer – Scalable AI for Finance in Edinburgh employer: Malt Ai
Contact Detail:
Malt Ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer – Scalable AI for Finance in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and finance 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 projects, especially those related to cloud infrastructure and AI. This is your chance to shine beyond the written application.
✨Tip Number 3
Prepare for technical interviews by brushing up on problem-solving techniques. Practice coding challenges and be ready to discuss your thought process with the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining our innovative team.
We think you need these skills to ace Platform Engineer – Scalable AI for Finance in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building and scaling AI systems, especially in finance. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and finance, and how your problem-solving skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Don’t forget to mention your cloud infrastructure expertise! We’re looking for someone who can hit the ground running, so highlight any specific technologies or tools you’ve worked with that are relevant to the role.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Malt Ai
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud infrastructure and AI systems. Be ready to discuss specific technologies you've worked with and how they relate to the role. This shows you're not just familiar with the concepts but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenges you've faced in previous projects and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to work under pressure.
✨Emphasise Team Collaboration
Since the role involves working within a small technical team, be ready to discuss your experience collaborating with others. Highlight any successful projects where teamwork was key, and mention how you handle conflicts or differing opinions.
✨Passion for Quality Matters
Express your commitment to quality in software development. Talk about your approach to testing, code reviews, and continuous improvement. This will resonate well with the company's focus on delivering innovative AI solutions.