At a Glance
- Tasks: Own end-to-end ML pipelines and collaborate with audio ML researchers.
- Company: Fast-growing audio AI product company revolutionising sound experiences.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a vibrant team with a focus on innovation and engineering excellence.
- Why this job: Make a real impact in audio technology while mentoring a dynamic ML team.
- Qualifications: Experience in production ML systems and strong Python skills required.
The predicted salary is between 60000 - 80000 € per year.
Our client is a fast‑growing audio AI product company building cutting‑edge machine learning technology that enhances how people experience sound across digital platforms. Their flagship products use ML and signal processing to deliver real‑time audio quality improvements at scale — deployed across cloud, edge and embedded environments.
The role involves owning end‑to‑end ML pipelines — from data through training, evaluation and deployment. You’ll work closely with audio ML researchers and DSP engineers to move models into production, implement monitoring, build CI/CD pipelines and ensure reproducibility across the full model lifecycle. There is also a mentoring element, helping establish engineering standards across a small ML team.
What They’re Looking For:
- Proven experience building and operating production ML systems
- Strong Python and ML frameworks (PyTorch, TensorFlow)
- MLOps, CI/CD and model lifecycle management
- Cloud platforms (AWS, GCP or Azure) and containers / Kubernetes
- Experience with low‑latency or real‑time systems; familiarity with audio or speech processing a plus
- Mentoring or technical leadership experience desirable
Senior ML Ops Engineer in London employer: IC Resources
Join a dynamic and innovative audio AI product company that prioritises cutting-edge technology and employee development. With a collaborative work culture, you will have the opportunity to mentor others while working on impactful projects that enhance sound experiences globally. Located in a vibrant tech hub, the company offers competitive benefits and a commitment to fostering growth in your career as a Senior ML Ops Engineer.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Ops Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the audio AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially those involving real-time systems. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML frameworks. Practice coding challenges and be ready to discuss your past experiences with CI/CD pipelines and model lifecycle management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior ML Ops Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML systems and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in MLOps and real-time systems makes you a perfect fit for our team.
Showcase Your Technical Skills:Don’t forget to mention your experience with CI/CD pipelines and cloud platforms like AWS or GCP. We love seeing candidates who can demonstrate their technical prowess and understanding of the full model lifecycle.
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!
How to prepare for a job interview at IC Resources
✨Know Your ML Pipelines
Make sure you can talk confidently about your experience with end-to-end ML pipelines. Be ready to discuss specific projects where you've built or operated production ML systems, and highlight any challenges you faced and how you overcame them.
✨Brush Up on Python and Frameworks
Since strong Python skills and familiarity with ML frameworks like PyTorch and TensorFlow are crucial, review your past projects and be prepared to explain your coding decisions. You might even want to do a quick coding exercise to refresh your memory!
✨Get Familiar with CI/CD Practices
Understand the principles of Continuous Integration and Continuous Deployment (CI/CD) as they relate to ML. Be ready to share examples of how you've implemented these practices in your previous roles, especially in relation to model lifecycle management.
✨Show Your Mentoring Side
If you have mentoring or technical leadership experience, don’t hold back! Share stories about how you've helped others grow in their roles, established engineering standards, or contributed to team dynamics. This will show that you're not just a tech whiz but also a team player.
