AI / ML Engineer - Voice AI - London
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, Back End 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 systemsStrong 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-offsFamiliar with prompt engineering and RAG techniquesBackground in microservices, APIs, and cloud-based deploymentsExperience with MLOps tools and monitoring platforms (eg, 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 systemsFamiliarity with voice cloning , multilingual models , or PEFT techniquesKnowledge of privacy and security protocols for voice dataMaster's degree in ML, AI, or a related fieldThis 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.