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For Companies At a Glance
- Tasks: Lead the transformation of AI research into reliable, production-grade systems.
- Company: A leading AI company based in Central London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Strong backend development skills and experience in technical leadership.
- Other info: Join a dynamic team passionate about building complex, real-time platforms.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI company in Central London seeks a Technical Lead for their ML Platform team. This hybrid position involves transforming research prototypes into reliable, production-grade inference systems using technologies like Python and Kubernetes.
The ideal candidate will have a strong backend development background, hands-on technical leadership experience, and a passion for building complex platforms that operate under real-time conditions.
If you enjoy owning systems end-to-end, apply to learn more about this exciting role.
Technical Lead, ML Platform & Inference (Hybrid, London) employer: Workonomics
Contact Detail:
Workonomics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Lead, ML Platform & Inference (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Kubernetes. This will give potential employers a taste of what you can do and how you tackle real-time challenges.
✨Tip Number 3
Prepare for technical interviews by brushing up on your backend development knowledge. Practice coding challenges and system design questions that relate to building production-grade systems. We want you to feel confident when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you into that exciting role!
We think you need these skills to ace Technical Lead, ML Platform & Inference (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your backend development experience and any technical leadership roles you've had. We want to see how your skills align with the requirements of the Technical Lead position, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for building complex platforms and how you’ve transformed prototypes into production-grade systems. Let us know why you’re excited about this role and our company.
Showcase Relevant Projects: If you’ve worked on projects involving Python, Kubernetes, or real-time systems, make sure to mention them. We love seeing concrete examples of your work that demonstrate your ability to own systems end-to-end.
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. Don’t miss out!
How to prepare for a job interview at Workonomics
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python and Kubernetes. Brush up on your backend development skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Leadership Experience
Prepare examples that highlight your hands-on technical leadership experience. Think about times when you’ve led a team or project, and be ready to explain how you motivated others and drove results.
✨Understand Real-Time Systems
Since the role involves building platforms that operate under real-time conditions, be prepared to discuss your understanding of real-time systems. Share any relevant experiences and how you tackled challenges in those environments.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s ML Platform and their approach to transforming research prototypes. This shows your genuine interest and helps you assess if it’s the right fit for you.
