At a Glance
- Tasks: Support AI development and automation projects in a dynamic financial environment.
- Company: Leading asset management firm in London focused on innovation.
- Benefits: Gain real-world experience, develop cutting-edge skills, and work in a hybrid setting.
- Other info: Exciting opportunity for career growth in the finance industry.
- Why this job: Join a collaborative team and make an impact with emerging AI technologies.
- Qualifications: Experience in Python and a passion for AI; side projects are a plus.
The predicted salary is between 30000 - 40000 £ per year.
Our client, a leading asset management firm based in London, is seeking a Junior AI Engineer to join their team. The company is committed to innovation and fostering a dynamic work environment where early‑career professionals can develop cutting‑edge skills. This role offers a valuable opportunity to work on real-world AI applications within a highly regulated financial setting, engaging with emerging technologies such as agentic AI and intelligent automation.
Role Overview
The Junior AI Engineer will support the company's initiatives in AI development and automation. The position involves working on innovative projects that contribute to the company's broader technological advancements, providing essential support to the AI and automation teams in a collaborative environment.
Key Skills & Experience
- Demonstrable side projects (e.g., GitHub, personal builds, AI experiments)
- Strong curiosity for AI and emerging technologies
- Proactive, self‑starter mindset
- Ability to learn quickly in a fast‑paced environment
Key Responsibilities
- Contributing to AI‑driven projects and initiatives within the company
- Supporting the development and deployment of agentic AI and automation solutions
- Engaging in continuous learning to stay updated with the latest AI technologies
- Collaborating with team members to achieve project goals in a hybrid working environment
Requirements
- Right to work in the UK
- Experience in Python, ideally with a focus on banking or financial applications
- Availability to work on‑site in London
- Able to commit to a 2‑week contract starting from 21/05/2026
- Comfortable working in a hybrid environment
Candidates with a passion for AI, a proactive attitude, and demonstrable projects are encouraged to apply. This is an excellent opportunity to grow your career in AI within the financial industry. Please submit your application for further details.
Junior AI Engineer — Finance AI & Automation (London) employer: Gravitas Group
As a leading asset management firm in London, we pride ourselves on being an excellent employer that champions innovation and professional growth. Our dynamic work culture encourages early-career professionals to engage with cutting-edge AI technologies while collaborating on impactful projects in a supportive environment. With a commitment to employee development and a focus on real-world applications, we offer unique opportunities for meaningful contributions in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Junior AI Engineer — Finance AI & Automation (London)
✨Tip Number 1
Network like a pro! Reach out to people in the finance and AI sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your side projects, GitHub contributions, or any AI experiments you've done. This is your chance to demonstrate your passion and expertise, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of the financial sector. Practice common interview questions and think about how your skills can contribute to AI-driven projects in finance.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for proactive individuals who are eager to learn and grow. Your next big opportunity could be just a click away, so get your application in!
We think you need these skills to ace Junior AI Engineer — Finance AI & Automation (London)
Some tips for your application 🫡
Show Off Your Projects:Make sure to highlight any side projects you've worked on, like GitHub repos or personal builds. We love seeing your hands-on experience with AI and automation, so don’t hold back!
Tailor Your Application:When applying, tweak your CV and cover letter to reflect the skills and experiences mentioned in the job description. We want to see how you fit into our dynamic environment and your passion for AI.
Be Yourself:Let your personality shine through in your application. We’re looking for proactive self-starters who are curious about AI, so don’t be afraid to show us what makes you tick!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Gravitas Group
✨Showcase Your Projects
Make sure to bring along examples of your side projects, like GitHub repositories or personal builds. This is your chance to demonstrate your hands-on experience with AI and automation, so be ready to discuss what you learned and how you tackled challenges.
✨Stay Curious About AI
Express your genuine interest in AI and emerging technologies during the interview. Research recent advancements in the field and be prepared to share your thoughts on how they could apply to the financial sector. This shows that you're proactive and eager to learn.
✨Prepare for Technical Questions
Brush up on your Python skills, especially as they relate to banking or financial applications. Be ready to answer technical questions or even solve coding problems on the spot. Practising common interview questions can help you feel more confident.
✨Emphasise Team Collaboration
Since the role involves working in a hybrid environment, highlight your ability to collaborate effectively with team members. Share examples of how you've worked in teams before, especially in fast-paced settings, to show that you can adapt and contribute positively.
