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- Tasks: Deploy and optimise AI/ML models in live environments while mentoring teams.
- Company: Leading financial services organisation with a focus on innovation.
- Benefits: Competitive contract rate, flexible working, and opportunities for skill development.
- Why this job: Make a real impact in AI/ML while gaining exposure to senior stakeholders.
- Qualifications: Strong Python skills and experience with ML frameworks and cloud platforms.
- Other info: Dynamic role with potential for long-term career growth in AI engineering.
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 Slough employer: Siena Partnership
Contact Detail:
Siena Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Slough
✨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. Personal recommendations can really give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Python and MLOps tooling. This will help potential employers see your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of CI/CD pipelines and cloud platforms. Be ready to discuss how you've deployed AI models in production environments and optimised their performance.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior AI Engineer in Slough
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 passionate about AI/ML 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 AI Inside Out
Make sure you’re well-versed in the AI models and frameworks mentioned in the job description, like PyTorch and TensorFlow. Be ready to discuss how you've deployed and operationalised these models in past roles, as this will show your practical experience.
✨Showcase Your MLOps Skills
Prepare to talk about your experience with MLOps tooling such as MLflow or Kubeflow. Have specific examples ready that demonstrate how you've built CI/CD pipelines and managed model performance, as this is crucial for the role.
✨Demonstrate Financial Services Knowledge
If you have experience in financial services, make sure to highlight it! Discuss any relevant projects or challenges you've faced in this sector, as it will give you an edge over other candidates who may not have this background.
✨Be Ready to Lead and Mentor
Since the role involves knowledge transfer and mentoring, think of examples where you've successfully upskilled others. This could be through documentation, training sessions, or hands-on guidance, so be prepared to share those stories.
