At a Glance
- Tasks: Build and scale enterprise-grade AI capabilities for innovative projects.
- Company: Join United Cerebral Palsy of Georgia's dynamic AI engineering team in London.
- Benefits: Competitive salary, flexible work schedule, and opportunities for professional growth.
- Other info: Work onsite 3 days a week in a collaborative and innovative setting.
- Why this job: Shape the future of AI infrastructure in a modern engineering environment.
- Qualifications: Strong Python skills, expertise with LLMs, and knowledge of FastAPI and Kubernetes.
The predicted salary is between 60000 - 80000 £ per year.
United Cerebral Palsy of Georgia is seeking a Senior ML Engineer to join its AI engineering team in London, working onsite 3 days a week. This role focuses on building and scaling enterprise-grade AI capabilities to support AI agents and secure tool integration.
The ideal candidate will have:
- Strong Python experience
- Expertise with LLMs
- Knowledge of FastAPI and Kubernetes
This is a unique opportunity to shape the future of AI infrastructure in a modern engineering environment.
Senior ML Engineer — Enterprise AI Platform (London Onsite) employer: United Cerebral Palsy of Georgia
United Cerebral Palsy of Georgia is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to grow and develop their skills in cutting-edge AI technologies. With a focus on meaningful projects that make a difference, the company offers competitive benefits and a supportive environment, making it an ideal place for professionals looking to advance their careers while contributing to impactful solutions in the heart of London.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer — Enterprise AI Platform (London Onsite)
✨Tip Number 1
Network like a pro! Reach out to current employees at United Cerebral Palsy of Georgia on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python projects, especially those involving LLMs, FastAPI, or Kubernetes. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on ML concepts and coding challenges. We can even set up mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips and updates on new roles that might not be advertised elsewhere.
We think you need these skills to ace Senior ML Engineer — Enterprise AI Platform (London Onsite)
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your strong Python experience in your application. We want to see how you've used Python in real-world projects, especially in relation to AI and machine learning.
Talk About Your LLM Expertise:If you've worked with large language models (LLMs), let us know! Share specific examples of how you've implemented or optimised these models in your previous roles.
Demonstrate Your Knowledge of FastAPI and Kubernetes:We’re keen on candidates who are familiar with FastAPI and Kubernetes. Include any relevant projects or experiences that showcase your skills with these technologies.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of AI infrastructure.
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in the context of machine learning.
✨Showcase Your LLM Expertise
Prepare to talk about your experience with large language models (LLMs). Think of specific examples where you've implemented or optimised LLMs in previous roles, and be ready to explain the impact they had on your projects.
✨Familiarise Yourself with FastAPI and Kubernetes
Since this role involves tool integration, it’s crucial to demonstrate your knowledge of FastAPI and Kubernetes. Have examples ready that showcase how you've used these technologies to build scalable applications.
✨Understand the Company’s Vision
Research United Cerebral Palsy of Georgia and their mission. Being able to articulate how your skills align with their goals will show that you're not just a fit for the role, but also for the company culture.
