Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deploy AI models, build monitoring tools, and design CI/CD pipelines.
- Company: Leading financial services organisation with a focus on innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Gain autonomy and work closely with senior stakeholders in a dynamic environment.
- Qualifications: Strong Python skills and experience with ML frameworks like PyTorch and TensorFlow.
- Other info: Initial 6-month contract with potential for extension.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services organisation is seeking a Senior Full Stack AI / ML Engineer for an initial 6-month contract in the UK. In this role, you will deploy AI models into production, build monitoring tools, and design CI/CD pipelines for model delivery.
Ideal candidates will have strong Python skills and experience with ML frameworks like PyTorch and TensorFlow. Financial services experience is highly desirable. This role offers significant autonomy and exposure to senior stakeholders.
Senior AI/ML Engineer — Production Systems & MLOps employer: Siena Partnership
Contact Detail:
Siena Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer — Production Systems & MLOps
✨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 opportunities. A personal recommendation can go a long way in landing that Senior AI/ML Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI models, CI/CD pipelines, and any monitoring tools you've built. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and ML frameworks knowledge. Be ready to discuss your experience with PyTorch and TensorFlow, and how you've applied them in real-world scenarios, especially in financial services.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior AI/ML Engineer — Production Systems & MLOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML frameworks like PyTorch and TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior AI/ML Engineer role. Mention your experience in deploying AI models and any financial services background you have.
Showcase Your Autonomy: In your application, highlight instances where you've worked independently or led projects. This role offers significant autonomy, so we want to see that you can take initiative and drive results on your own.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Siena Partnership
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with ML frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've deployed AI models into production, as this will show your hands-on experience.
✨Showcase Your Financial Services Knowledge
If you have experience in financial services, highlight it! Prepare examples of how your work has impacted the industry or improved processes. This will demonstrate that you understand the unique challenges and requirements of the sector.
✨Prepare for Technical Questions
Expect technical questions related to CI/CD pipelines and model delivery. Brush up on best practices and be ready to explain your approach to building monitoring tools. Practising coding problems can also help you feel more confident.
✨Engage with Senior Stakeholders
Since this role offers exposure to senior stakeholders, think about how you can communicate complex technical concepts clearly. Prepare questions that show your interest in their strategic goals and how your role can contribute to them.
