Lead ML Architect: Speech Recognition & Voice AI

Lead ML Architect: Speech Recognition & Voice AI

Full-Time 80000 - 100000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of innovative speech solutions and mentor teams in ML technologies.
  • Company: Join Jack & Jill, a pioneering team in Voice AI technology.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment located in London with a focus on innovation.
  • Why this job: Shape the future of Voice AI and make a significant impact in the tech industry.
  • Qualifications: Expertise in ML stacks, Python, and experience with PyTorch/TensorFlow.

The predicted salary is between 80000 - 100000 € per year.

Jack & Jill is seeking a Principal Machine Learning Engineer to lead the development of scalable, customer-centric speech solutions. The ideal candidate will possess deep expertise in ML stacks and be proficient in deploying large-scale models using Python and frameworks such as PyTorch/TensorFlow.

This high-impact technical role involves mentoring teams and co-defining the technical vision while optimizing models for performance and efficiency. Join a pioneering team shaping the future of Voice AI technology in London.

Lead ML Architect: Speech Recognition & Voice AI employer: Jack & Jill

Jack & Jill is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about advancing Voice AI technology. Located in the vibrant city of London, employees benefit from a dynamic environment that encourages professional growth through mentorship and cutting-edge projects. With a focus on employee well-being and a commitment to developing scalable solutions, Jack & Jill offers a rewarding career path for talented individuals looking to make a significant impact in the field of machine learning.

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Contact Detail:

Jack & Jill Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead ML Architect: Speech Recognition & Voice AI

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 ML stacks and frameworks like PyTorch or TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of scalable speech solutions and model optimisation. Practice coding challenges and be ready to discuss your past experiences in detail—this is your chance to shine!

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our pioneering team. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Lead ML Architect: Speech Recognition & Voice AI

Machine Learning Expertise
Speech Recognition
Voice AI
Python
PyTorch
TensorFlow
Model Deployment

Some tips for your application 🫡

Show Off Your Expertise:Make sure to highlight your deep expertise in ML stacks and your experience with deploying large-scale models. We want to see how your skills align with the role, so don’t hold back!

Tailor Your Application:Customise your application to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.

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 with our pioneering team.

How to prepare for a job interview at Jack & Jill

Know Your ML Stacks Inside Out

Make sure you brush up on your knowledge of machine learning stacks, especially those relevant to speech recognition. Be ready to discuss your experience with Python and frameworks like PyTorch and TensorFlow, as this will show your technical depth and readiness for the role.

Showcase Your Leadership Skills

Since this role involves mentoring teams, prepare examples of how you've successfully led projects or guided colleagues in the past. Highlight your ability to co-define a technical vision and how you’ve optimised models for performance and efficiency.

Prepare for Technical Questions

Expect to face some challenging technical questions during the interview. Brush up on common algorithms used in speech recognition and be ready to explain your thought process when deploying large-scale models. Practising coding problems related to ML can also give you an edge.

Understand the Company’s Vision

Research Jack & Jill's current projects and their vision for Voice AI technology. Being able to articulate how your skills align with their goals will demonstrate your genuine interest in the position and help you stand out as a candidate.