Machine Learning Engineer (Voice) - London

Machine Learning Engineer (Voice) - London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Create innovative voice AI solutions that connect families and enhance lives.
  • Company: Join a pioneering AI-native engineering organisation focused on meaningful impact.
  • Benefits: Flexible working hours, competitive salary, and the chance to shape the future of technology.
  • Other info: Collaborative environment with opportunities for personal and professional growth.
  • Why this job: Be a founding engineer and directly influence the success of groundbreaking projects.
  • Qualifications: Experience in voice AI and a passion for building impactful technology.

The predicted salary is between 63000 - 77000 £ per year.

Machine Learning Engineer (Voice) - London

An AI-native engineering org.

Agents across coding, reviewing, QA, ops, support, scheduling.

You'll help turn the company itself into an intelligent system.

Speech-to-speech agents that feel like a person in the room.

Interruptions, back-channels, noisy kitchens, hearing aids, thick accents, millisecond latency.

Companions with long-term memory.

Knows someone after six months the way a friend would.

Assistants inside messaging, connecting families across cities and countries.

Health biomarkers from conversation.

Cognitive decline, mood, breathing, loneliness, with research partners at Wharton, Toronto, and Oxford.

Ph D-level audio in production.

Speech enhancement, VAD, diarization, TTS tuned for older voices.

An agentic browser: booking appointments and getting things done online through conversation, no wrestling with websites.

What we need; A cracked, AI-native engineer.

You use AI to multiply what you ship, and you've made yourself measurably faster with coding agents or your own setup.

You've shipped something that runs on an LLM in production.

Voice AI experience (real-time STT, TTS, speech-to-speech, telephony) is a big plus.

You go above and beyond and can prove it: a side project with users, a repo people star, a hackathon you won, something you built over a weekend because you couldn't stop.

Show us.

High agency.

If something is broken and nobody owns it, you own it now.

You'd rather be wrong fast than wait for a spec.

Product taste.

You care how it looks and feels, not just whether it works.

Low ego, kind, hard-working.

No politics.

You care about the mission: older adults ageing well at home, work that matters to real families.

WHAT WE DON'T CARE ABOUT Where you went to university, or whether you did.

Show us what you've built.

Where you live.

Overlap with London hours matters more than your postcode.

Gender, age, background, or anything else that isn't the work.

FOUNDING ENGINEER MEANS FOUNDING You will be integral to whether Harmonica succeeds.

That's literal, and it comes with the freedom to match.

Set the engineering standards: how we test, review, deploy, and use agents as we grow.

Shape the stack.

A strong opinion backed by evidence changes how we build.

Hire the team.

You'll interview a...

Machine Learning Engineer (Voice) - London employer: Microtech Global

Join a forward-thinking company in Hampshire that values innovation and collaboration, making it an excellent employer for Senior Analogue IC Design Engineers. With a strong focus on employee growth and development, the company offers a supportive work culture where your contributions are recognised and rewarded. Enjoy the unique advantage of working in a vibrant location that fosters creativity and professional advancement.

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Contact Details:

Microtech Global Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer (Voice) - 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 Microtech Global 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 Microtech Global.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Microtech Global.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Microtech Global that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Machine Learning Engineer (Voice) - London

Machine Learning
Voice AI
Speech-to-Speech Technology
Real-time Speech Recognition (STT)
Text-to-Speech (TTS)
Audio Processing
Diarization

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 Microtech Global.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Microtech Global 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 Microtech Global

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 Microtech Global 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.