Job Information
* Job Reference: JO-2503-350800
* Salary: Up to £400 per day
* Salary per: day
* Job Duration: 6 months
* Job Start Date: 01/10/2025
* Job Industries: Software Engineering
* Job Locations: Greater London
* Job Types: Contract
About the Role
We are seeking an experienced ML Ops / LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions.
You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and support production-grade ML services. This is a fast-moving environment where cutting-edge Generative AI technologies are constantly evolving, so adaptability and technical excellence are essential.
Key Responsibilities
* Design and implement tooling and technologies to support ML models and LLMs in production.
* Deploy, maintain, and optimise machine learning services within a cloud environment (AWS).
* Recommend and implement prompt management tools and provide expertise in prompt engineering.
* Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services.
* Enable auto-evaluation of prompts and models against domain-specific requirements.
* Build Python-based microservices, data pipelines, and serverless functions.
* Collaborate with stakeholders to translate data and AI requirements into scalable solutions.
Essential Experience & Skills
* 5+ years’ engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure.
* Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy).
* Expertise in AWS services (certification desirable).
* Proven experience deploying and supporting LLMs in production.
* Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.).
* Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot).
* Knowledge of embeddings, their applications, and limitations.
* Hands-on experience in Agile / Lean / XP environments.
* Excellent communication, problem-solving, and cross-team collaboration skills.
* Proactive interest in Generative AI trends and best practices.
Desired Skills
* Experience with chatbots and conversational AI (voice or text).
* Familiarity with Terraform, Helm, Kubernetes, or Postgres.
* Exposure to Data Science, NLP, Explainable AI (XAI).
* Real-world delivery of Generative AI solutions, especially LLM-driven applications.
Rates depend on experience and client requirements
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