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- Tasks: Transform AI models into robust systems and optimise performance in live environments.
- Company: Leading financial services organisation with a focus on innovation.
- Benefits: Remote work, potential for contract extension or permanent position.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Strong Python skills and experience with ML frameworks like PyTorch or TensorFlow.
- Other info: Opportunity to build internal AI/ML capabilities and grow your career.
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 (with the potential to extend or go perm).
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.
- Deploy and operationalise AI/ML models into live production environments
- Build observability, monitoring, and continuous evaluation to manage model performance and drift
- Optimise performance, reliability, and efficiency of existing AI solutions
Strong Python and ML frameworks (PyTorch, TensorFlow); Cloud platforms (AWS, Azure or GCP); Financial services experience highly desirable.
Senior AI Engineer (Remote) in London employer: Siena Partnership
Contact Detail:
Siena Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (Remote) in 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 hunt for a Senior AI Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Python and frameworks like PyTorch or TensorFlow. 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 and problem-solving skills. Be ready to discuss how you've deployed AI models in production environments and tackled challenges like model performance and drift.
✨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 and helps us keep track of your application.
We think you need these skills to ace Senior AI Engineer (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML models and the specific frameworks mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and how your previous experiences have prepared you to take on the challenges of deploying and optimising AI solutions in a financial services context.
Showcase Your Technical Skills: Since this role requires strong Python and ML framework knowledge, make sure to include specific examples of your work with PyTorch, TensorFlow, or any cloud platforms like AWS, Azure, or GCP. We love seeing concrete evidence of your technical prowess!
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 this exciting opportunity. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Siena Partnership
✨Know Your AI Models
Make sure you understand the AI models you'll be working with. Brush up on how to operationalise them and discuss any relevant experience you have with deploying models in production environments. This will show your potential employer that you're ready to hit the ground running.
✨Showcase Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Have examples ready that highlight your proficiency with Python and ML frameworks like PyTorch and TensorFlow.
✨Familiarise Yourself with Cloud Platforms
Get comfortable with the cloud platforms mentioned in the job description, such as AWS, Azure, or GCP. Be prepared to discuss how you've used these platforms in past projects, especially in relation to AI/ML deployment and monitoring.
✨Understand Financial Services Context
If you have experience in financial services, make sure to highlight it. If not, do some research on how AI is being used in this sector. Understanding the specific challenges and opportunities in financial services will help you stand out as a candidate who can contribute effectively.
