Machine Learning Team Lead

Greenhouse Software, Inc.; Cambridge; Híbrido; GBP 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible working

Company lunches

Birthday celebrations

Private medical insurance

Dental for family

Global working opportunities

Holiday allowance

Pension/401K matching

Home office allowance

Parental leave support

Adoption assistance

Resumo da oferta

Speechmatics is hiring a Machine Learning Team Lead to guide a team of ML engineers in delivering cutting-edge speech solutions. The role focuses on mentoring, technical oversight, and cross-functional collaboration to translate research into scalable production systems.

You will drive best practices in ML engineering, plan resource allocation, and align initiatives with business objectives while delivering high-impact results across cloud platforms and modern ML stacks.

Qualificações

• Experience guiding and mentoring ML engineers.
• Ability to prioritise work by impact, feasibility and time-to-value with clear success metrics.
• Strong understanding of modern ML stack: transformers, GQA, KV-caching.
• Expertise in distributed training techniques.
• Knowledge of model inference optimisation: dynamic batching, flash attention, speculative decoding.
• Proven track record of developing and deploying models at scale.
• Proficiency in Python, TensorFlow/PyTorch, and cloud platforms.
• Familiarity with software engineering practices and ML testing frameworks.

Responsabilidades

• Lead, mentor, and grow a world-class team of ML engineers.
• Provide technical oversight for end-to-end ML development, ensuring robust, scalable solutions.
• Guide adoption of best practices in software engineering.
• Plan work, allocate resources, and collaborate cross-functionally to align with business goals.
• Drive the ML team's technical work to deliver high-quality solutions.

Conhecimentos

Team leadership

Mentoring ML engineers

Python

TensorFlow

PyTorch

Distributed training

Transformer architectures

Dynamic batching

Speculative decoding

Cloud platforms

Software engineering practices

ML testing frameworks

Ferramentas

Kubernetes

Docker

CUDA

MLflow

Descrição da oferta de emprego

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 ensurestheir 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 forend-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

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:

• 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.

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.

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.

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.

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.