Machine Learning Team Lead

Overview

Lead and grow a world-class ML team focused on translating cutting-edge speech research into scalable, customer-centric solutions. You’ll provide technical guidance, ensure robust end-to-end ML development, and align work with business goals to production. The role is central to advancing Speechmatics’ mission to Understand Every Voice by delivering high-quality, deployable models. You’ll work with cross-functional teams in a fast-paced, innovative environment that values learning and impact.

Pay / Benefits

• Hybrid work with 2-3 office days
• Focus Fridays
• Private medical and dental
• Pension/401K matching
• Home office equipment allowance
• Generous holiday allowance

Responsibilities

• Lead, mentor and develop the ML engineering team
• Provide technical oversight for end-to-end ML development
• Guide adoption of software engineering best practices
• Plan work, allocate resources and coordinate with cross-functional teams
• Drive technical output to deliver scalable, high-quality ML solutions that meet strategic goals

Key requirements

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

• People leadership
• Cross-functional collaboration
• Impact-focused prioritization
• Transformers and related concepts (GQA, KV-caching)
• Distributed training
• Inference optimization techniques (dynamic batching, flash attention, speculative decoding)

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