Machine Learning Team Lead

Speechmatics
Cambridge
19 hours ago
Create job alert

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’re 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 prioritizing 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’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.
#LI-Hybrid


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Team Lead

Machine Learning Team Lead

Machine Learning Team Lead

Machine Learning Team Lead

Machine Learning Team Lead

Machine Learning Team Lead

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.