About
Senior Machine Learning Engineer
to help build and scale a nextgeneration
voice-centric AI platform
used by millions. In this role, you'll own the full ML lifecycle-from research and data pipelines to training, deployment, optimisation, and evaluation-while pushing the boundaries of realtime conversational AI.
You'll focus on creating
highly optimised, domain-specific conversational models , finetuning and compressing existing LLMs and speech models to deliver subsecond, natural interactions at scale. This is an opportunity for someone who has taken STT/TTS/LLM dialogue systems from prototype to production and thrives in fast iteration, deep optimisation, and real-world impact.
What You'll Do
Build and optimise STT, TTS, and LLM pipelines that sustain
across thousands of concurrent voice sessions. Apply
LoRA, QLoRA, DPO, RLHF , quantisation, pruning, and distillation to create smaller, faster, cheaper conversational models. Finetune and evaluate lightweight architectures (e.g., DeBERTa, SetFit, sentence transformers) for intent classification and dialogue management. Optimise inference on GPUs/CPUs using dynamic batching, speculative decoding, and streaming gRPC/WebSockets. Develop data pipelines (Kafka → Snowflake/S3) and build evaluation frameworks for ASR/WER, TTS MOS, and taskcompletion metrics. Implement and extend dialogue flows using LangGraph/LangChain and Model Context Protocol (MCP). Establish ML best practices: versioning, monitoring, CI/CD for models, safety guardrails, and production reliability. Work closely with product, infra, compliance, and customer teams to deliver safe, scalable conversational experiences. Stay on the cutting edge of speech + LLM research and rapidly prototype new methods (e.g., Whisper-v3, Bark, efficient finetuning techniques). Ensure
HIPAAgrade security , PHI-safe handling, and always-on reliability.
EOE Statement:
Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.
To find out more about Huxley, please visit www.huxley.com
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.