At a Glance
- Tasks: Build and enhance cutting-edge text-to-speech solutions in real-time systems.
- Company: Join a rapidly scaling AI vendor recognised as a 'Cool Vendor' by Gartner.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities for junior engineers.
- Why this job: Make an impact in the AI space with big-name clients like Starling and Metro Bank.
- Qualifications: 5+ years in software development and 2+ years in machine learning required.
The predicted salary is between 70000 - 90000 £ per year.
About Edge Tech
Edge Tech is working exclusively with a Series‑B funded Conversational AI vendor who have been recognised by Gartner as a ‘Cool Vendor’ which are scaling at a rapid rate.
About the Role
Due to their success and continued expansion globally, they are growing their platform team and looking to hire a Senior Machine Learning Engineer to join their high‑performing tech team in the UK. With a client list that includes big names such as Starling and Metro Bank, you'll be joining a credible player in the AI space and will be responsible for building and improving text-to-speech solutions within real‑time production systems. You will lead productisation of machine learning models and pipelines in a multi‑tenant environment. On top of this, you will handle the build, implementation, and maintenance of text-to-speech solutions, giving you the chance to explore new and exciting AI opportunities. You will also contribute to design discussions and lead through example to junior members of the team, acting as a mentor.
Required Skills & Experience
- A degree in Computer Science or a related technical field involving coding, or equivalent industry experience.
- 5+ years of commercial software development experience for global SAAS/PAAS platforms.
- 2+ years of commercial ML experience.
- Non-relational and relational data architecture with expertise building scalable, reliable architectures.
- Experience with text-to-speech solutions such as FastSpeech, Tacotron, VITS.
- Experience with one or more cloud services (such as AWS, GCP, and Azure).
- Knowledge of and experience using Python or Golang and maybe some Kubernetes.
- A background in professional software engineering best practices, such as coding standards, code reviews, source control, build processes, and testing.
Senior Machine Learning Engineer employer: Edge Tech
Edge Tech is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are encouraged to push the boundaries of AI technology. With a strong focus on professional development, team collaboration, and mentorship, you will have ample opportunities to grow your skills while working on cutting-edge projects for renowned clients. Located in the UK, Edge Tech fosters a culture of inclusivity and creativity, making it an ideal place for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to text-to-speech solutions. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past projects. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your experience with scalable architectures and cloud services, and let us know why you’re excited about joining Edge Tech!
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with text-to-speech solutions and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any specific experiences that relate to the job description.
Showcase Your Projects:If you've worked on any cool projects, especially in machine learning or text-to-speech, make sure to include them. We love seeing practical applications of your skills, so share links or descriptions that demonstrate your expertise!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Edge Tech
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of text-to-speech solutions like FastSpeech and Tacotron. Be ready to discuss how you've implemented these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in machine learning or software development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Familiarise Yourself with Cloud Services
Since experience with cloud services like AWS, GCP, or Azure is crucial, make sure you can discuss your hands-on experience with these platforms. Be ready to explain how you've used them to build scalable architectures in previous roles.
✨Be a Team Player
As you'll be mentoring junior team members, demonstrate your leadership skills during the interview. Share examples of how you've collaborated with others, contributed to design discussions, and supported your colleagues in their growth.
