Principal Machine Learning Engineer (London)
Principal Machine Learning Engineer (London)

Principal Machine Learning Engineer (London)

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative projects in Machine Learning and mentor a talented team.
  • Company: Join Speechmatics, a leader in Speech Intelligence and Voice AI technology.
  • Benefits: Enjoy flexible working, generous holidays, and a supportive work environment.
  • Why this job: Make a global impact with cutting-edge technology while growing your skills.
  • Qualifications: Experience in Machine Learning, R&D, and strong technical writing skills preferred.
  • Other info: Hybrid work model with 2-3 office days per week and a focus on diversity.

The predicted salary is between 43200 - 72000 £ per year.

We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As pioneers in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be at the bleeding edge of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional Voice AI.

Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving.

What you’ll be doing:

  • Define research milestones and work with a diverse group of engineers across Speechmatics, guiding them to achieve ambitious goals.
  • Stay current with the latest developments in Machine learning and align these with the company's goals.
  • Identify and execute high-impact projects to ensure the team’s success.
  • Mentor and support team members in their growth and development.

This position allows you to influence what the ML team is working towards, and to efficiently leverage other engineers to increase the output of your experience.

Who we are looking for:

  • Someone who can act as a tech lead and use their experience to be not only an example for their coworkers, but also a guardrail.
  • Demonstrated experience in collaboratively pursuing ambitiousR&D agendas.
  • Balances attention to detail with a view on the big-picture, long-term company vision, and is able to relate company goals to the goals of the team members they work with.
  • Deep understanding of the modern Machine Learning stack, for example:
    – Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices.
    – Expertise in distributed training techniques.
    – Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding).
  • With preferred backgrounds covering some of the following:
    – Publications in top-tier conferences.
    – Contributions to popular open-source repositories.
    – Exceptional technical writing skills as evidenced by relevant publications or blogs.

We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you.

Who we are:

Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech.

Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance.

We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster.

This is only the beginning; we’re looking for amazing people like you to continue our journey…

What we can offer you:

No matter what stage of your career you’re at – from paid internships and first-job opportunities through to management and senior positions – we’ll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work.

We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that’s not all. We’ve spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families.

At Speechmatics, our mission is simple: Understand Every Voice out there.

That's not just about our tech – it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it’s not just the right thing to do; it’s our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status.

But we don’t just open the door to diversity – we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace.

So, come as you are and join our Speechling community. We’re building a place where every voice not only gets heard but is also respected and valued.

We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment.

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We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company.

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Principal Machine Learning Engineer (London) employer: Speechmatics

At Speechmatics, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and inclusivity. Our commitment to employee growth is evident through tailored training opportunities and a supportive environment where every voice is valued. With flexible working arrangements, comprehensive benefits, and a focus on collaboration, we empower our team members to thrive while making a global impact in the field of Voice AI.
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Contact Detail:

Speechmatics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Machine Learning Engineer (London)

✨Tip Number 1

Familiarise yourself with the latest advancements in machine learning, particularly in speech technology. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and commitment to the field.

✨Tip Number 2

Engage with the Speechmatics community on social media platforms like LinkedIn and Twitter. This not only shows your interest in the company but also helps you stay updated on their projects and initiatives, which can be useful for your discussions during the interview.

✨Tip Number 3

Prepare to showcase your leadership skills and experience in mentoring others. Since the role involves guiding a team, think of specific examples where you've successfully led projects or supported colleagues in their professional growth.

✨Tip Number 4

Consider contributing to open-source projects related to machine learning or speech technology. This not only enhances your technical skills but also provides tangible evidence of your expertise and commitment to the field, which can set you apart from other candidates.

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

Expertise in Machine Learning algorithms and techniques
Strong understanding of contemporary transformer architectures
Experience with distributed training techniques
Familiarity with optimisation strategies for model inference
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch)
Ability to define research milestones and guide teams
Strong analytical and problem-solving skills
Technical writing skills for publications and documentation
Experience in mentoring and supporting team members
Knowledge of best practices in software engineering and model serving
Ability to stay current with the latest developments in Machine Learning
Experience in pursuing ambitious R&D agendas
Attention to detail while maintaining a focus on broader company goals
Contributions to open-source repositories or top-tier conferences

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and speech technology. Focus on projects that demonstrate your expertise in transformer architectures, distributed training techniques, and optimisation strategies.

Craft a Compelling Cover Letter: In your cover letter, express your passion for voice AI and how your background aligns with the company's mission. Mention specific projects or achievements that showcase your ability to lead R&D initiatives and mentor team members.

Showcase Technical Writing Skills: If you have publications or contributions to open-source projects, include them in your application. Highlighting your technical writing skills can set you apart, especially if you have relevant blogs or papers published in top-tier conferences.

Align with Company Values: Demonstrate your understanding of Speechmatics' commitment to diversity and innovation in your application. Share experiences that reflect your ability to work in inclusive environments and how you can contribute to their mission of 'Understanding Every Voice'.

How to prepare for a job interview at Speechmatics

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with contemporary transformer architectures and distributed training techniques. Highlight any relevant projects or publications that demonstrate your deep understanding of the modern Machine Learning stack.

✨Align with Company Goals

Research Speechmatics' mission and recent developments in Voice AI. During the interview, articulate how your skills and experiences align with their goals, particularly in advancing their speech recognition technology.

✨Demonstrate Leadership Qualities

As a Principal Machine Learning Engineer, you'll be expected to mentor and guide your team. Share examples from your past where you've successfully led projects or supported team members in their professional growth.

✨Prepare for Problem-Solving Questions

Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, especially when discussing optimisation strategies for model inference.

Principal Machine Learning Engineer (London)
Speechmatics
S
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