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Machine Learning Team Lead

Speechmatics · London

Speechmatics is a speech‑technology company that builds large‑scale speech recognition and speech AI solutions. The Machine Learning Team Lead will head a group of ML engineers responsible for turning advanced research, especially in transformer‑based models and self‑supervised architectures, into production‑ready speech services. Daily activities include mentoring engineers, setting technical direction, overseeing model design, training, and optimisation, and ensuring robust, scalable deployment using distributed training and inference techniques such as dynamic batching and flash attention. The role also requires planning work, allocating resources, and coordinating with product and engineering teams to align machine‑learning projects with business goals. Candidates should have a proven record of guiding ML engineers, strong expertise in modern ML stacks—including Python, TensorFlow or PyTorch, transformer concepts, and large‑scale model serving—and experience delivering models at scale. The position suits senior ML practitioners who combine deep technical knowledge with leadership and project‑management skills, and who are comfortable working in a fast‑moving, research‑driven environment.

machine learningteam leadspeech recognitiontransformer architecturesdistributed trainingmodel deploymentpythontensorflowpytorchmodel optimization

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 e

RoleMachine Learning Team Lead
CompanySpeechmatics
LocationLondon
Typefull-time
CompensationNot disclosed
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

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