AI ML Engineer

AI/ML Engineer – Voice AI / LLMs, Speech-to-Text, TTS

My client is building the future of voice AI in telecoms and are looking for an exceptional AI/ML Engineer to join them as part of the founding team.

The company is backed by a number of industry leading Global enterprises who have joined forces to build cutting edge technology together.

This is your chance to shape and help scale a brand-new venture at the cutting edge of telecommunications and artificial intelligence. You’ll be the technical owner of their AI stack, integrating and optimizing world-class models from providers like OpenAI, Google, Anthropic, Deepgram, ElevenLabs, and more.

• Own the AI Pipeline: From STT → LLM → TTS, you’ll build, test, and optimize the voice AI stack.
• Integrate Leading Models: Leverage APIs from top providers across Speech-to-Text, Text-to-Speech, Voice Cloning, and Large Language Models.
• Benchmark + Optimize: Curate “golden datasets” to evaluate model accuracy, latency, and cost for real-world telecom use cases.
• Enhance Personalization: Develop AI features for emotional intelligence, cultural nuances, and regional accents.
• Collaborate Cross-Functionally: Work side-by-side with architects, backend engineers, telco experts, and product managers.

Candidates should have experience in some of the following areas:

• Strong hands-on experience integrating AI/ML APIs into production systems
• Strong Python skills + comfort with data science libraries (Pandas, NumPy, etc.)
• Experience with voice-related AI (STT, TTS, or Voice AI)
• Deep understanding of latency vs accuracy vs cost trade-offs
• Familiar with prompt engineering and RAG techniques
• Background in microservices, APIs, and cloud-based deployments
• Experience with MLOps tools and monitoring platforms (e.g., DataDog, Arize)

Any experience in the following areas is a nice to have:

• Experience with Voice LMMs (like GPT-4o, Nova Sonic)
• Previous work in telecommunications or real-time speech systems
• Familiarity with voice cloning, multilingual models, or PEFT techniques
• Knowledge of privacy and security protocols for voice data
• Master’s degree in ML, AI, or a related field

This is a career defining role and an opportunity to create something truly special. It is based in London with offices near Barbican and 3 days a week on-site on average. Salaries are flexible to attract the best talent Globally.