At a Glance
- Tasks: Design and deploy advanced generative AI systems in finance.
- Company: Capco, a leader in financial technology innovation.
- Benefits: Hybrid working model, competitive salary, and career growth opportunities.
- Other info: Collaborate with multidisciplinary teams in a flexible work environment.
- Why this job: Join a dynamic team and shape the future of financial services with AI.
- Qualifications: Degree in relevant field, experience in AI/ML, and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Capco is seeking a Senior AI Engineer (Senior/Principal Consultant) to join their Technology Delivery team in Edinburgh. You'll be responsible for designing and deploying advanced generative AI systems and collaborating with multidisciplinary teams to drive innovation in financial services.
The ideal candidate should have:
- A relevant degree
- Experience in AI/ML engineering
- Strong Python skills
- A solid understanding of MLOps
This role offers a hybrid working model with flexibility between Edinburgh and Glasgow.
Senior GenAI Engineer for Finance - Hybrid Scotland employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GenAI Engineer for Finance - Hybrid Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to finance. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and MLOps knowledge. Be ready to discuss how you've used these skills in real-world scenarios, especially in financial contexts.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and take the time to connect with us directly.
We think you need these skills to ace Senior GenAI Engineer for Finance - Hybrid Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML engineering and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior GenAI Engineer position and how you can contribute to our team at Capco. Keep it engaging and personal.
Showcase Your MLOps Knowledge: Since this role involves deploying advanced generative AI systems, make sure to mention any experience you have with MLOps. We love seeing candidates who understand the full lifecycle of AI projects!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Capco
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of generative AI systems. Be ready to discuss your previous projects and how you've applied AI/ML engineering principles in real-world scenarios. Capco will want to see your expertise, so prepare examples that showcase your skills.
✨Python Proficiency is Key
Since strong Python skills are a must for this role, practice coding problems and be prepared to demonstrate your coding abilities during the interview. Familiarise yourself with libraries commonly used in AI/ML, like TensorFlow or PyTorch, as you might be asked about them.
✨Understand MLOps Fundamentals
Capco is looking for someone with a solid understanding of MLOps, so make sure you can explain the lifecycle of machine learning models. Be ready to discuss deployment strategies and how you ensure models are maintained and monitored post-deployment.
✨Show Your Collaborative Spirit
This role involves working with multidisciplinary teams, so highlight your teamwork experiences. Prepare to share examples of how you've successfully collaborated with others in past projects, especially in fast-paced environments like finance.