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For Companies At a Glance
- Tasks: Design and build AI-driven applications that make a real difference.
- Company: Join a leading FinTech in the heart of London.
- Benefits: Competitive salary, flexible work, and great perks.
- Why this job: Be at the forefront of AI technology and innovation.
- Qualifications: Strong Python skills and experience in AI product development.
- Other info: Work in a dynamic environment with opportunities for growth.
The predicted salary is between 130000 - 140000 £ per year.
Arcus Search have partnered with a FinTech in London who are looking for a Senior AI Engineer to join the team and build a series of AI-driven applications. More details are below:
Location: Central London - 2 days a week in the office
Salary: £130,000 - £140,000 + benefits
The role: The Senior AI Engineer will play a key role in designing, building, and deploying end-to-end AI-powered applications, with a strong focus on backend engineering and scalable product development. This role goes beyond traditional data engineering or applied AI research; it requires demonstrated experience transforming concepts into production-grade software systems.
Key Requirements:
- Excellent in Python
- Professional experience building, or contributing to the build of AI products / applications
- Ability to work at a high standard and at pace
- Familiarity with cloud infrastructure, containerization, and deployment frameworks
- Educated within Computer Science, Data Science, or equivalent
If interested, please apply below with your CV.
Senior AI Engineer in London employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those working with AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects. Whether it’s GitHub repos or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates like you!
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI products and backend engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Senior AI Engineer role. Share your passion for AI and any standout achievements that demonstrate your ability to build scalable applications.
Showcase Your Technical Skills: Since we’re looking for someone excellent in Python and familiar with cloud infrastructure, make sure to mention specific tools and technologies you’ve worked with. We love seeing concrete examples of your work!
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 this exciting opportunity in London!
How to prepare for a job interview at Arcus Search
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI applications and backend engineering. Be ready to discuss specific projects you've worked on, especially those that involved transforming concepts into production-grade software. This will show your potential employer that you have the hands-on experience they’re looking for.
✨Python Proficiency is Key
Since the role requires excellent Python skills, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your approach to building AI products using Python. Practising common algorithms and data structures in Python can give you an edge.
✨Familiarise with Cloud and Containers
Get comfortable with cloud infrastructure and containerization tools like Docker or Kubernetes. Being able to talk about how you’ve used these technologies in past projects will show that you can handle the deployment frameworks required for the role.
✨Show Your Passion for FinTech
Since this position is within a FinTech company, it’s beneficial to understand the industry trends and challenges. Research the company and its products, and be ready to discuss how your skills can contribute to their mission. Showing genuine interest can set you apart from other candidates.
