Opus Recruitment Solutions
MLOps / ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps / ML Engineer for 6 months, outside IR35, based in London (1 day/month). Key skills include Python, ML pipelines, CI/CD, and insurance domain experience is essential. Full right to work in the UK is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
February 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Monitoring #NLP (Natural Language Processing) #Data Science #Langchain #Compliance #Observability #Python #Cloud #ML (Machine Learning) #Containers
Role description
MLOps / ML Engineer –
Details-
6 months
IR35: Outside
Location: London (1 day/month)
Start: ASAP
Role
• Build and maintain end-to-end ML pipelines
• Deploy models into production using CI/CD, containers, and cloud tooling
• Implement monitoring, drift detection, and observability
• Develop retrieval/LLM components using Python, LangChain/LlamaIndex, and vector DBs
• Work with Data Science teams to scale and operationalise models
• Ensure compliance and governance for models in a regulated insurance environment Requirements
• Strong MLOps + ML Engineering background
• Python, ML pipelines, CI/CD, orchestration, monitoring
• Experience with LLM/NLP integration
• Knowledge of vector search & embeddings
• Enterprise/regulated experience
• Insurance domain experience is essential
• Must have full right to work in the UK (no sponsorship)
MLOps / ML Engineer –
Details-
6 months
IR35: Outside
Location: London (1 day/month)
Start: ASAP
Role
• Build and maintain end-to-end ML pipelines
• Deploy models into production using CI/CD, containers, and cloud tooling
• Implement monitoring, drift detection, and observability
• Develop retrieval/LLM components using Python, LangChain/LlamaIndex, and vector DBs
• Work with Data Science teams to scale and operationalise models
• Ensure compliance and governance for models in a regulated insurance environment Requirements
• Strong MLOps + ML Engineering background
• Python, ML pipelines, CI/CD, orchestration, monitoring
• Experience with LLM/NLP integration
• Knowledge of vector search & embeddings
• Enterprise/regulated experience
• Insurance domain experience is essential
• Must have full right to work in the UK (no sponsorship)
