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- Tasks: Deploy and optimise AI/ML models for real-world applications in finance.
- Company: Join a leading financial services organisation with a focus on innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a significant impact by transforming AI models into production-grade systems.
- Qualifications: Strong Python skills and experience with ML frameworks and MLOps tools.
- Other info: Enjoy a hands-on role with autonomy and exposure to senior stakeholders.
The predicted salary is between 48000 - 72000 £ per year.
The Siena Partnership are working with a leading financial services organisation seeking a Senior Full Stack AI/ML Engineer for an initial 6-month contract. This role focuses on taking AI models built by a third-party provider and turning them into robust, production-grade systems, while helping establish a long-term internal AI/ML engineering capability.
What you’ll do:
- Deploy and operationalise AI/ML models into live production environments
- Build observability, monitoring, and continuous evaluation to manage model performance and drift
- Design and implement CI/CD pipelines for scalable, reproducible model delivery
- Optimise performance, reliability, and efficiency of existing AI solutions
- Set up tooling for model serving, versioning, and lifecycle management
- Lead documentation, knowledge transfer, and mentoring to upskill internal teams
Technical requirements:
- Strong Python and ML frameworks (PyTorch, TensorFlow)
- MLOps tooling (MLflow, Kubeflow or similar)
- Docker, Kubernetes, CI/CD pipelines
- Cloud platforms (AWS, Azure or GCP); Terraform experience preferred
- Financial services experience highly desirable
A hands-on role with real impact, autonomy, and senior stakeholder exposure.
Senior AI Engineer in City of London employer: Siena Partnership
Contact Detail:
Siena Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for a Senior AI Engineer role. A personal recommendation can make all the difference.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Python and MLOps tooling. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss how you've deployed AI models in production environments and optimised their performance. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by hiring managers directly.
We think you need these skills to ace Senior AI Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with Python, ML frameworks, and any relevant financial services background. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've deployed AI/ML models or worked with CI/CD pipelines. We love seeing real examples of your work, so don’t hold back on the details that show off your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're excited about this role and how you can contribute to our team. We appreciate a personal touch, so let your personality come through!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Siena Partnership
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the ML frameworks mentioned, like PyTorch and TensorFlow. Brush up on your MLOps tooling knowledge too, as they’ll likely ask you about your experience with tools like MLflow or Kubeflow.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've deployed AI/ML models in production before. Think of specific examples where you optimised performance or reliability, and be ready to explain your thought process and the impact of your work.
✨Demonstrate Your CI/CD Knowledge
Since this role involves designing CI/CD pipelines, make sure you can talk about your experience with them. Share any relevant projects where you’ve implemented scalable, reproducible model delivery, and highlight your familiarity with Docker and Kubernetes.
✨Prepare for Stakeholder Interaction
This position involves senior stakeholder exposure, so practice articulating complex technical concepts in a way that non-technical stakeholders can understand. Think about how you can convey the value of your work in terms of business impact.
