At a Glance
- Tasks: Lead a team of ML engineers to create innovative speech solutions.
- Company: Join Speechmatics, a leader in Speech AI technology.
- Benefits: Flexible working, competitive salary, and comprehensive health benefits.
- Why this job: Make a global impact with cutting-edge speech technology.
- Qualifications: Experience in mentoring ML engineers and strong Python skills.
- Other info: Dynamic, inclusive culture with opportunities for professional growth.
The predicted salary is between 48000 - 84000 £ per year.
We are hiring a Machine Learning Team Lead to lead a team of driven ML engineers working on translating cutting-edge research into ambitious, customer-centric speech solutions. As innovators in speech technology, our mission is to Understand Every Voice — a vision that has propelled us to be world leaders of Speech AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we are looking for an experienced Machine Learning Team Lead to accelerate our efforts towards exceptional speech solutions.
Our Modelling Team builds and trains a broad spectrum of models, including large self-supervised architectures, advancing Speechmatics' mission to provide the most accurate speech recognition technology worldwide. It also ensures their deployment into production, working with the latest developments in ML, but also with the best practices for software engineering and model serving.
What you’ll be doing:
- Lead, mentor, and grow a world-class team of ML engineers through coaching and professional development.
- Provide technical oversight and guidance for end-to-end ML development, ensuring solutions are robust and scalable.
- Guide the adoption of best practices in software engineering.
- Plan work, allocate resources and collaborate cross-functionally to align initiatives with business objectives and bring solutions to production.
- Drive the technical work for the ML team to deliver high-quality technical solutions that achieve ambitious strategic goals.
Who we are looking for:
- Demonstrable experience in guiding and mentoring ML engineers.
- Adept at prioritising work by impact, feasibility, and time-to-value, with clear success metrics.
- Strong understanding of the modern Machine Learning stack, for example:
- Knowledge of contemporary transformer architectures, related concepts (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).
- Proven track record of developing and deploying models at scale.
- Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms.
- Strong familiarity with software engineering practices and ML testing frameworks.
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 are 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 will 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.
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.
- 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.
Machine Learning Team Lead in Cambourne employer: Speechmatics
Contact Detail:
Speechmatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Team Lead in Cambourne
✨Tip Number 1
Network like a pro! Reach out to current employees at Speechmatics on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can discuss your experience with ML frameworks like TensorFlow and PyTorch confidently. We want to see how you can lead and mentor a team, so be ready to share examples from your past.
✨Tip Number 3
Show your passion for speech technology! Research the latest trends and innovations in the field. When you talk about your interest in the role, let that enthusiasm shine through. We love candidates who are genuinely excited about what we do!
✨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, it shows you’re serious about joining our mission to Understand Every Voice.
We think you need these skills to ace Machine Learning Team Lead in Cambourne
Some tips for your application 🫡
Show Your Passion for Speech AI: When writing your application, let your enthusiasm for speech technology shine through! We want to see how your experience aligns with our mission to Understand Every Voice. Share specific examples of your work in ML that demonstrate your commitment to innovation.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Machine Learning Team Lead role. Highlight relevant experiences and skills that match the job description. We love seeing how you can contribute to our team, so don’t hold back on showcasing your achievements!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the position.
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 the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Speechmatics
✨Know Your Stuff
Make sure you brush up on the latest in machine learning, especially around transformer architectures and distributed training techniques. Be ready to discuss your experience with Python and ML frameworks like TensorFlow or PyTorch, as well as any cloud platforms you've worked with.
✨Showcase Your Leadership Skills
As a Machine Learning Team Lead, you'll need to demonstrate your ability to mentor and guide a team. Prepare examples of how you've successfully led projects or developed team members in the past. Highlight your approach to prioritising work and aligning initiatives with business objectives.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during your interview. Brush up on best practices for software engineering and model serving, and be prepared to explain optimisation strategies for model inference. This is your chance to show off your expertise!
✨Align with Their Mission
Familiarise yourself with Speechmatics' mission to 'Understand Every Voice'. Think about how your values align with theirs and be ready to discuss how you can contribute to their vision of innovation and inclusivity in speech technology.