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- Tasks: Lead the development of AI-driven trading tools and mentor a small engineering team.
- Company: Join a pioneering tech firm transforming front-office trading with AI.
- Benefits: Competitive salary, creative freedom, and impactful work in a dynamic environment.
- Why this job: Make a real difference by building innovative AI solutions for traders and quants.
- Qualifications: 10+ years in software engineering, expert Python skills, and financial services experience.
- Other info: Collaborative culture with opportunities for growth and visibility across the organisation.
The predicted salary is between 72000 - 108000 £ per year.
About the Role
Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on engineering leader to shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions.
This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke GenAI tools that directly impact trading performance. If you’re passionate about building something unique, ahead of the curve, and never done before, this is your chance to make it happen.
What You’ll Do
- You’ll lead and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption:
- Architect and develop cutting-edge platform services for AI-driven trading.
- Potentially lead a small team of engineers, driving technical excellence while staying hands-on.
- Collaborate with internal infra/platform teams to align capabilities and avoid duplication.
- Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes.
- Mentor junior engineers and set best practices for AI/ML infrastructure.
- Influence across organisational boundaries and champion modern engineering trends.
- Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling.
Tech Stack
- Programming: Expert level Python (Java familiarity is a plus).
- AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more.
- On-Prem: Managed Kubernetes Platform and Hadoop ecosystem.
Why This Role is Different
- Direct Impact: Build AI tools that traders and quants use daily to optimise strategies.
- Creative Freedom: Open collaboration and the chance to bring your ideas to life.
- Visibility: Be a big player in a small, high-impact team with exposure across the organisation.
What We’re Looking For
- ~10 + years of extensive experience in software/data engineering, ideally in platform or infra roles.
- ~ Expert level programming skills in Python; passion for code quality and testing.
- ~ Demonstrable experience applying GenAI concepts to front-office/capital market environments.
- ~ Extensive financial services experience, ideally in a front-office environment.
- ~ Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation).
- ~ Passion for being hands-on while enabling and growing a small engineering team.
Nice to Have
- Experience with on-prem Hadoop and Kubernetes.
- Experience with LangChain & LangGraph.
- Familiarity with AWS cost management and optimisation tools.
- Knowledge of front-office developer workflows in financial services.
AI Engineer VP - Python (Front-Office) in Glasgow employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer VP - Python (Front-Office) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in AI or finance. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. This is your chance to demonstrate your hands-on experience and creativity, which is exactly what we’re looking for.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We want to see how you think on your feet, so practice coding challenges and be ready to discuss your past experiences in detail.
✨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, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace AI Engineer VP - Python (Front-Office) in Glasgow
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and cloud-native platforms shine through. We want to see how your passion aligns with our mission to redefine front-office trading. Share specific examples of projects or experiences that highlight your love for innovation in this space.
Tailor Your Experience: Make sure to customise your application to reflect the skills and experiences that are most relevant to the role. Highlight your expert-level Python programming and any hands-on experience with AWS services. We’re looking for someone who can hit the ground running, so make it easy for us to see how you fit!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and technical skills. We appreciate a well-structured application that makes it easy for us to understand your qualifications without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our pioneering team at StudySmarter.
How to prepare for a job interview at Caspian One
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the tech stack mentioned in the job description, especially Python and AWS services. Brush up on your knowledge of S3, Kinesis, and Lambda, as well as any experience you have with Kubernetes and Hadoop. Being able to discuss these technologies confidently will show that you’re ready to hit the ground running.
✨Showcase Your Leadership Skills
Since this role involves leading a small team, be prepared to share examples of how you've successfully managed projects or mentored junior engineers in the past. Highlight your ability to drive technical excellence while remaining hands-on, as this balance is crucial for the position.
✨Demonstrate Your Passion for AI and Innovation
This role is all about building unique AI tools for trading, so come armed with ideas or examples of how you've applied Generative AI concepts in previous roles. Discuss any innovative projects you've worked on that align with the company's vision of redefining front-office trading.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios, particularly in cloud and on-prem environments. Think about challenges you've faced in previous roles and how you overcame them, especially those related to scaling platform capabilities or driving AI adoption.