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- Tasks: Join our team to work on innovative speech technology projects and mentor fellow engineers.
- Company: Speechmatics is a leader in Speech Intelligence, transforming human speech into business value globally.
- Benefits: Enjoy flexible working, regular company lunches, and a generous holiday allowance.
- Why this job: Be part of a mission-driven company that values diversity and innovation in AI technology.
- Qualifications: Experience in R&D, modern ML stacks, and a passion for speech technology are essential.
- Other info: We embrace hybrid work with 2-3 office days per week for collaboration.
The predicted salary is between 48000 - 72000 £ per year.
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be world leaders of Voice AI, consisting of 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 speech solutions.
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:
- Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals.
- Stay current with the latest developments in Machine learning.
- Execute high-impact projects to ensure team success.
- Work collaboratively across departments and mentor team members (where appropriate).
Who we are looking for:
- Demonstrated experience in collaboratively pursuing ambitious R&D agendas.
- Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards.
- Understanding of the modern Machine Learning stack, for example:
- Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices.
- Experience in distributed training techniques.
- Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding).
- Publications in top-tier conferences.
- Contributions to popular open-source repositories.
- 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.
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.
- We offer incredibly flexible working, regular company lunches, and birthday celebrations.
- 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.
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.
We’re building a place where every voice not only gets heard but is also respected and valued.
Senior Machine Learning Engineer London, England, United Kingdom employer: Speechmatics Limited
Contact Detail:
Speechmatics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer London, England, United Kingdom
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in speech technology. Follow relevant blogs, attend webinars, and engage with communities to stay updated on trends and innovations that could be beneficial for your role.
✨Tip Number 2
Network with professionals in the field of machine learning and speech technology. Attend industry conferences or local meetups to connect with like-minded individuals and potential colleagues at Speechmatics, which can help you gain insights and possibly referrals.
✨Tip Number 3
Showcase your collaborative skills by participating in open-source projects or contributing to research papers. This not only enhances your portfolio but also demonstrates your ability to work effectively in teams, a key aspect of the role at Speechmatics.
✨Tip Number 4
Prepare to discuss your understanding of modern machine learning stacks during interviews. Be ready to explain your experience with transformer architectures and distributed training techniques, as these are crucial for the Senior Machine Learning Engineer position.
We think you need these skills to ace Senior Machine Learning Engineer London, England, United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and R&D projects. Emphasise your familiarity with contemporary transformer architectures and any contributions to open-source repositories.
Craft a Compelling Cover Letter: In your cover letter, express your passion for speech technology and how your skills align with the company's mission to 'Understand Every Voice'. Mention specific projects or experiences that demonstrate your expertise in machine learning.
Showcase Your Publications: If you have publications in top-tier conferences or technical blogs, include them in your application. This will demonstrate your commitment to the field and your ability to communicate complex ideas effectively.
Highlight Collaborative Experience: Since the role involves working collaboratively across departments, provide examples of past teamwork experiences. Discuss how you mentored others or contributed to team success in previous roles.
How to prepare for a job interview at Speechmatics Limited
✨Showcase Your R&D Experience
Be prepared to discuss your previous R&D projects in detail. Highlight specific challenges you faced, how you approached them, and the outcomes. This will demonstrate your ability to contribute to complex projects and align with the company's ambitious goals.
✨Stay Updated on ML Trends
Research the latest developments in machine learning, especially in areas relevant to speech technology. Being able to discuss recent advancements or trends during the interview will show your passion for the field and your commitment to staying current.
✨Demonstrate Technical Knowledge
Familiarise yourself with contemporary transformer architectures and distributed training techniques. Be ready to explain these concepts clearly, as well as any optimisation strategies you've used in past projects. This will showcase your technical expertise and understanding of the modern ML stack.
✨Emphasise Collaboration and Mentorship
Since the role involves working collaboratively across departments and mentoring team members, prepare examples of how you've successfully worked in teams and supported others in their development. This will highlight your interpersonal skills and alignment with the company's values.
