

MLOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Ops Engineer with experience in Chatbot (Voice) integration using Python, Pytorch, Pyspark, and AWS LLM/Generative AI. The contract is for 6 months, paying £400 PD, hybrid near Stratford, London.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
380.9523809524
-
🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
Outside IR35
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#NumPy #ML Ops (Machine Learning Operations) #ML (Machine Learning) #Observability #Pandas #Jupyter #PyTorch #Data Science #Kubernetes #SQL (Structured Query Language) #Spark (Apache Spark) #AI (Artificial Intelligence) #PySpark #API (Application Programming Interface) #Python #Deployment #Terraform #AWS (Amazon Web Services) #NLP (Natural Language Processing)
Role description
ML Ops/LLM Engineer
Our trusted partner, which operates within the Ed-Tech domain, employs over 10,000 individuals across 100 countries and has a reach of 600 million users, is recruiting an ML Ops/LLM Engineer who has Chatbot (Voice) integration project experience using Python, Pytorch, Pyspark and AWS LLM / Generative AI.
Our client is paying £400 PD Outside IR 35 to start ASAP for an initial 6-month contract on a hybrid basis based near Stratford, London.
Main Accountabilities:
• Design and implementation of tooling and technologies to support Machine Learning and the use of Large Language Models
• Take ownership of the design, deployment, and maintenance of machine learning models
• Recommend, implement, and use tooling to improve the development, operations, and observability of machine learning models, large language models, and AI-related services
Essential skills:
• Previous experience working on online Chat or Chatbors, particular voice, is a must-have.
• Strong recent hands-on capabilities in Python are a must-have.
• Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must.
• Srong's understanding of deploying and supporting LLM’s in a production environment is a must-have.
• An interest and understanding of embeddings, generative IA, and its applications is a must-have
Desireable:
• Any of Terraform, Helm, Kubernetes, Postgres would be advantageous.
• Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI.
• A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models.
The two-stage remote interview process with the capacity to start ASAP.
ML Ops/LLM Engineer
Our trusted partner, which operates within the Ed-Tech domain, employs over 10,000 individuals across 100 countries and has a reach of 600 million users, is recruiting an ML Ops/LLM Engineer who has Chatbot (Voice) integration project experience using Python, Pytorch, Pyspark and AWS LLM / Generative AI.
Our client is paying £400 PD Outside IR 35 to start ASAP for an initial 6-month contract on a hybrid basis based near Stratford, London.
Main Accountabilities:
• Design and implementation of tooling and technologies to support Machine Learning and the use of Large Language Models
• Take ownership of the design, deployment, and maintenance of machine learning models
• Recommend, implement, and use tooling to improve the development, operations, and observability of machine learning models, large language models, and AI-related services
Essential skills:
• Previous experience working on online Chat or Chatbors, particular voice, is a must-have.
• Strong recent hands-on capabilities in Python are a must-have.
• Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must.
• Srong's understanding of deploying and supporting LLM’s in a production environment is a must-have.
• An interest and understanding of embeddings, generative IA, and its applications is a must-have
Desireable:
• Any of Terraform, Helm, Kubernetes, Postgres would be advantageous.
• Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI.
• A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models.
The two-stage remote interview process with the capacity to start ASAP.