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 mentorship.
- Other info: Join a dynamic team with excellent growth potential and mentoring opportunities.
- Why this job: Make a real impact in audio technology while advancing your career.
- Qualifications: Experience in production ML systems and strong Python skills required.
The predicted salary is between 63000 - 77000 £ 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 A high-impact MLOps role 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 (Py Torch, Tensor Flow) 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 If you’re interested, apply now or reach out to Charles Duran at IC Resources.
Senior ML Ops Engineer in London employer: Intellectual Capital Resources
Join a dynamic and innovative audio AI product company that prioritises employee growth and collaboration in a fully remote environment. With a strong focus on cutting-edge technology and a culture of mentorship, you'll have the opportunity to work alongside talented professionals while contributing to impactful projects that enhance sound experiences globally. Enjoy the flexibility of remote work, competitive benefits, and a commitment to fostering a supportive and inclusive workplace.
Contact Details:
Intellectual Capital Resources Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Ops Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Intellectual Capital Resources or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Intellectual Capital Resources.
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We think you need these skills to ace Senior ML Ops Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Intellectual Capital Resources.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Intellectual Capital Resources and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Intellectual Capital Resources
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Intellectual Capital Resources uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
