At a Glance
- 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.
- Other info: Collaborative culture with opportunities for growth and visibility across the organisation.
- 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.
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
Join a dynamic and innovative team in London as a Senior Full Stack Developer, where you'll have the opportunity to work on cutting-edge front-end technologies in a hybrid work environment. Our company fosters a collaborative culture that values continuous learning and professional growth, offering competitive rates and the chance to make a significant impact in the financial services sector. With a focus on high-performance UIs and a commitment to excellence, we provide a rewarding workplace for those looking to advance their careers while contributing to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer VP - Python (Front-Office) in Glasgow
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Caspian One or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Caspian One.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Caspian One.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Caspian One that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer VP - Python (Front-Office) in Glasgow
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Caspian One.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Caspian One and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Caspian One
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Caspian One uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
