Senior AI Engineer — Hybrid, Build AI Features & Growth
Senior AI Engineer — Hybrid, Build AI Features & Growth

Senior AI Engineer — Hybrid, Build AI Features & Growth

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Enhance AI features and contribute to product improvement in a dynamic team.
  • Company: Leading financial services firm in the UK with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Why this job: Join a cutting-edge team and shape the future of AI in finance.
  • Qualifications: Master's or PhD in relevant field with 3+ years in ML and AI engineering.
  • Other info: Collaborative environment with strong emphasis on problem-solving and teamwork.

The predicted salary is between 60000 - 80000 £ per year.

A leading financial services firm in the UK seeks an AI Engineer to join their IT-AI team. This role focuses on enhancing AI-powered product features, contributing to Continuous Product Enhancement initiatives.

The ideal candidate will have a Master's or PhD (or equivalent experience) along with 3+ years in ML and AI engineering, proficient in Python. Collaboration with Data Scientists and Platform Engineers is crucial, along with strong problem-solving skills in a hybrid working environment.

Senior AI Engineer — Hybrid, Build AI Features & Growth employer: MUFG Investor Services

As a leading financial services firm in the UK, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our hybrid working model offers flexibility while providing ample opportunities for professional growth and development in cutting-edge AI technologies. Join us to be part of a dynamic team where your contributions directly impact the enhancement of AI-powered products, all within a supportive environment that values creativity and teamwork.
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Contact Detail:

MUFG Investor Services Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI Engineer — Hybrid, Build AI Features & Growth

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source. This is your chance to demonstrate your expertise in Python and ML, making you stand out from the crowd.

Tip Number 3

Prepare for the interview by brushing up on your problem-solving skills. Expect technical questions that test your knowledge in AI engineering. Practise coding challenges and be ready to discuss your past projects with confidence.

Tip Number 4

Don’t forget to 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 with us.

We think you need these skills to ace Senior AI Engineer — Hybrid, Build AI Features & Growth

Machine Learning (ML)
Artificial Intelligence (AI)
Python
Collaboration
Problem-Solving Skills
Continuous Product Enhancement
Data Science
Platform Engineering
Hybrid Working Environment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in ML and AI engineering. We want to see how your skills in Python and collaboration with Data Scientists can shine through!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to enhancing AI-powered product features.

Showcase Problem-Solving Skills: In your application, don’t forget to mention instances where you tackled complex problems. We love seeing how you approach challenges, especially in a hybrid working environment!

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!

How to prepare for a job interview at MUFG Investor Services

Know Your AI Stuff

Make sure you brush up on your machine learning and AI engineering knowledge. Be ready to discuss your past projects, especially those involving Python. They’ll want to see how you’ve applied your skills in real-world scenarios, so have some examples up your sleeve.

Collaboration is Key

Since this role involves working closely with Data Scientists and Platform Engineers, be prepared to talk about your teamwork experiences. Share specific instances where you collaborated on projects, highlighting your communication skills and how you contributed to the team’s success.

Problem-Solving Mindset

Expect to face some technical challenges during the interview. Brush up on your problem-solving techniques and be ready to walk through your thought process. They’ll appreciate a candidate who can think critically and approach problems methodically.

Hybrid Work Adaptability

As this position is hybrid, demonstrate your ability to work effectively in both remote and in-office settings. Share any experiences you have with managing your time and productivity in a flexible work environment, as this will show you’re a good fit for their culture.

Senior AI Engineer — Hybrid, Build AI Features & Growth
MUFG Investor Services

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