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204 Available Jobs for "Machine Learning Engineer"

ConnexAI

Machine Learning Engineer

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Job DescriptionRole: Senior Machine Learning Engineer (Text-to-Speech)Function: Text-to-SpeechJoin our Team!We are at the forefront of revolutionising Text-to-Speech (TTS) and...

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Senior Machine Learning Engineer

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Senior Machine Learning Scientist - REMOTEThis is an opportunity to join a high-growth AI SaaS business using NLP and GenAI to transform unstructured customer feedback into...

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Senior Machine Learning Scientist - REMOTEThis is an opportunity to join a high-growth AI SaaS business using NLP and GenAI to transform unstructured customer feedback into...

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17918

Junior AI Engineer / Machine Learning Engineer no experience needed

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Synthires

Machine Learning Engineer (Remote | $60–$120/hr)

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AI EngineerPosition: AI EngineerType: Hourly Contract (Part-Time)Compensation: $60–$120/hourLocation: RemoteAbout the OpportunityThis opportunity is for experienced AI Engineers...

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Synthires

Machine Learning Engineer (Remote | $60–$120/hr)

External
External

AI EngineerPosition: AI EngineerType: Hourly Contract (Part-Time)Compensation: $60–$120/hourLocation: RemoteAbout the OpportunityThis opportunity is for experienced AI Engineers...

ManchesterAny

Synthires

Machine Learning Engineer (Remote | $60–$120/hr)

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External

AI EngineerPosition: AI EngineerType: Hourly Contract (Part-Time)Compensation: $60–$120/hourLocation: RemoteAbout the OpportunityThis opportunity is for experienced AI Engineers...

BoltonAny

External
ConnexAI

Machine Learning Engineer

ConnexAI

AnyManchester
Manchester
Any
Posted 21 days ago by ConnexAI

Job Description

Job Description

Role: Senior Machine Learning Engineer (Text-to-Speech)

Function: Text-to-Speech


Join our Team!

We are at the forefront of revolutionising Text-to-Speech (TTS) and Speech Synthesis in Conversational AI, and we're looking for a skilled Senior Machine Learning Engineer to join our expanding team.


The Role

As a Senior Machine Learning Engineer, you will be instrumental in deploying state-of-the-art Text-to-Speech models. You will be responsible for scaling and optimising TTS systems, ensuring they are production-ready and capable of running efficiently on large-scale deployments.


Key Responsibilities:

  • Collaborate closely with the TTS team to deploy and scale advanced models in production environments.
  • Lead efforts in optimizing TTS pipelines for performance and scalability, particularly focusing on GPU utilisation.
  • Implement and maintain LLM (Large Language Models) and transformers, ensuring efficient inference on a large scale.
  • Integrate and manage LLM-based inference servers like Triton, TensorRT, or TorchServe to streamline model deployment and scaling.
  • Work on deploying complex pipelines in production, ensuring seamless integration with existing systems.


Must-Have Qualifications:

  • MSc or PhD in Computer Science or a related field.
  • 3-5 years of hands-on experience deploying and scaling machine learning solutions in production.
  • Strong Python programming skills.
  • Proven experience in deploying and optimising LLMs/transformers in production environments.
  • Knowledge of LLM inference servers (e.g., Triton, TensorRT, TorchServe).
  • Experience with GPU scaling for large-scale machine learning models.
  • Expertise in deploying complex machine learning pipelines in production environments.


Desirable Skills:

  • Proficiency with PyTorch and Hugging Face transformers.
  • Experience with neural audio codecs (e.g., Encodec).
  • Background in Text-to-Speech (TTS) development.
  • Experience with advanced techniques such as Residual Vector Quantization (RVQ), Generative Adversarial Networks (GANs), and diffusion models.