Software Engineer: Build Scalable Ai Transcription Systems in Cambourne
Software Engineer: Build Scalable Ai Transcription Systems

Software Engineer: Build Scalable Ai Transcription Systems in Cambourne

Cambourne Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build scalable AI transcription systems with a focus on collaboration.
  • Company: Leading AI technology firm in Cambridge with a diverse team culture.
  • Benefits: Flexible working, generous benefits, and a supportive environment.
  • Why this job: Join a cutting-edge company and tackle complex engineering challenges.
  • Qualifications: Solid foundation in Python; interest in C++, Docker, and Kubernetes.
  • Other info: Great opportunity for growth in a dynamic tech environment.

The predicted salary is between 36000 - 60000 £ per year.

A leading AI technology firm in Cambridge is seeking a Software Engineer to design and build interconnected systems for their AI transcription products. This role emphasizes strong engineering fundamentals and collaboration across teams to solve complex problems.

Ideal candidates will have a solid foundation in Python, and an interest in technologies like C++, Docker, and Kubernetes.

The company offers flexible working, generous benefits, and a team culture that values diverse perspectives.

Software Engineer: Build Scalable Ai Transcription Systems in Cambourne employer: Speechmatics Limited

As a leading AI technology firm in Cambridge, we pride ourselves on fostering a collaborative and inclusive work environment where diverse perspectives are valued. Our Software Engineers enjoy flexible working arrangements, generous benefits, and ample opportunities for professional growth, making it an excellent place for those looking to make a meaningful impact in the field of AI transcription systems.
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Contact Detail:

Speechmatics Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Software Engineer: Build Scalable Ai Transcription Systems in Cambourne

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and might just land you a referral.

✨Tip Number 2

Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects, especially those using Python, C++, Docker, or Kubernetes. This gives us a tangible way to see your expertise in action.

✨Tip Number 3

Practice makes perfect! Get ready for technical interviews by solving coding challenges on platforms like LeetCode or HackerRank. We want to see how you tackle problems, so brush up on your algorithms and data structures.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team and contributing to our AI transcription products.

We think you need these skills to ace Software Engineer: Build Scalable Ai Transcription Systems in Cambourne

Python
C++
Docker
Kubernetes
Engineering Fundamentals
Collaboration Skills
Problem-Solving Skills
Interconnected Systems Design

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with Python and any other relevant technologies like C++ or Docker. 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 CV and cover letter for this specific role. Mention how your background fits into building scalable AI transcription systems and how you can contribute to our team culture.

Be Yourself: We value diverse perspectives, so let your personality shine through in your application. Share your passion for technology and problem-solving; we’re looking for genuine enthusiasm!

Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you on board with our amazing team!

How to prepare for a job interview at Speechmatics Limited

✨Know Your Tech Stack

Make sure you brush up on Python, C++, Docker, and Kubernetes before the interview. Be ready to discuss your experience with these technologies and how you've used them in past projects. This shows that you're not just familiar with the tools but can also apply them effectively.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex problems in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your engineering fundamentals and collaborative spirit.

✨Understand the Company Culture

Research the company’s values and team culture. Since they value diverse perspectives, think about how your unique background or experiences can contribute to their team. Be ready to share how you can bring a fresh viewpoint to their projects.

✨Ask Insightful Questions

Prepare thoughtful questions about the role and the team dynamics. Inquire about the challenges they face with their AI transcription systems or how they encourage collaboration across teams. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.

Software Engineer: Build Scalable Ai Transcription Systems in Cambourne
Speechmatics Limited
Location: Cambourne
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  • Software Engineer: Build Scalable Ai Transcription Systems in Cambourne

    Cambourne
    Full-Time
    36000 - 60000 £ / year (est.)
  • S

    Speechmatics Limited

    50-100
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