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, and opportunities for professional growth.
- Other info: Be part of a high-performing team and mentor 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 in London employer: Edge Tech
Edge Tech is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are encouraged to grow. With a focus on cutting-edge AI technology and a commitment to professional development, team members benefit from mentorship opportunities and the chance to work with prestigious clients like Starling and Metro Bank. Located in the UK, Edge Tech fosters a collaborative culture that values creativity and excellence, making it an ideal place for those seeking meaningful and rewarding careers in machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to text-to-speech solutions or machine learning models. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨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 experiences. Remember, they want to see how you think and solve problems, so don’t hold back!
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our team at Edge Tech.
We think you need these skills to ace Senior Machine Learning Engineer in London
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 specific technologies like FastSpeech or Tacotron that you’ve worked with.
Showcase Your Projects:If you've got any personal or professional projects related to machine learning, make sure to include them in your application. We love seeing real-world applications of your skills, especially in scalable architectures or cloud services!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our awesome team at Edge Tech!
How to prepare for a job interview at Edge Tech
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially text-to-speech solutions like FastSpeech and Tacotron. Brush up on your Python or Golang skills, and be ready to discuss how you've applied these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly in building scalable architectures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions to successful projects.
✨Be Ready to Lead and Mentor
Since this role involves mentoring junior team members, think of examples where you've taken the lead in a project or helped others grow. Be prepared to share your approach to leadership and how you foster collaboration within a team.
✨Research the Company and Its Clients
Familiarise yourself with Edge Tech and their client list, including big names like Starling and Metro Bank. Understanding their business model and how your role fits into their success will show your genuine interest and help you stand out during the interview.
