At a Glance
- Tasks: Lead the development of innovative speech solutions and scalable ML models.
- Company: Jack & Jill, a pioneering company in Speech & Voice AI.
- Benefits: High ownership, mentorship opportunities, and a chance to shape technical vision.
- Other info: Join a specialized modeling team in a dynamic environment.
- Why this job: Make a real impact on the world's most accurate speech recognition system.
- Qualifications: Expertise in transformer architectures and experience with Python, Docker, and Kubernetes.
The predicted salary is between 80000 - 100000 £ per year.
Jack & Jill is looking for a Principal Machine Learning Engineer in Greater London to lead innovative speech solutions. You will develop scalable ML models, helping to maintain the world's most accurate speech recognition system. This role offers high ownership and the opportunity to mentor engineers while driving technical vision within a specialized modeling team.
Ideal candidates will have expertise in transformer architectures and experience with tools like Python, Docker, and Kubernetes.
Lead ML Engineer, Speech & Voice AI employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through mentorship opportunities and the chance to lead cutting-edge projects in speech and voice AI, making a meaningful impact in the tech industry. With competitive benefits and a focus on work-life balance, we provide a rewarding environment for talented individuals looking to advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer, Speech & Voice AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Jack & Jill or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving speech recognition or transformer architectures. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python, Docker, and Kubernetes skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Lead ML Engineer, Speech & Voice AI
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in transformer architectures and any experience you have with Python, Docker, and Kubernetes. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your past experiences relate to leading innovative speech solutions and developing scalable ML models. It’ll make a big difference!
Be Yourself:Let your personality shine through in your written application. We’re looking for someone who can drive technical vision and mentor others, so showing us your passion and approach to teamwork is key!
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 with Jack & Jill!
How to prepare for a job interview at Jack & Jill
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with scalable ML models, especially transformer architectures. Be ready to explain how you've applied these in real-world scenarios, as this will show your depth of knowledge and practical skills.
✨Showcase Your Leadership Skills
Since this role involves mentoring engineers and driving technical vision, prepare examples of how you've led teams or projects in the past. Highlight your ability to inspire others and make decisions that align with a project's goals.
✨Familiarise Yourself with the Tech Stack
Brush up on your skills with Python, Docker, and Kubernetes. Be prepared to discuss how you've used these tools in your previous roles, and think about any challenges you faced and how you overcame them.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Practice explaining complex concepts clearly and concisely, as well as solving problems on the spot. This will demonstrate your expertise and communication skills.
