La Fosse

MLOps Engineer- Contract Role

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior MLOps Engineer on a 3-month contract based in London (hybrid). Pay is £500–550/day outside IR35. Key skills include Python, Databricks, CI/CD, and experience with LLM/GenAI infrastructure and cloud platforms (AWS, GCP, Azure).
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
550
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🗓️ - Date
January 24, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Deployment #SageMaker #GCP (Google Cloud Platform) #Docker #Kubernetes #MLflow #Python #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Terraform #ML (Machine Learning) #Azure #Databricks #R #Observability #Security
Role description
MLOps Engineer | Contract | Initial 3 Months | London (Hybrid) | £500–550/day Outside IR35 We’re hiring a Senior MLOps Engineer to join a central AI platform team that underpins multiple product streams. You’ll help take cutting‑edge ML and GenAI work (LLM evaluation, conversational AI, fine‑tuning) from R&D into production with reliable pipelines, solid infrastructure, and clean APIs. This role is London‑based and hybrid, you will be required onsite 2–3 days per week. Key Responsibilities and overview: • Build and operate end‑to‑end pipelines across classic ML and GenAI (training, fine‑tuning, evaluation, packaging, deployment). • Implement CI/CD for models and services, including automated tests and safe rollback paths. • Stand up and manage inference endpoints (for LLMs and other models) with appropriate performance, security, and observability. • Develop the platform services and APIs that ML specialists and product teams consume (e.g., for conversational AI). • Proven experience with LLM/GenAI infrastructure (evaluation, serving, or fine‑tuning) and traditional ML workflows. • Comfortable writing and reading Python in a collaborative codebase; able to work with platform and backend engineers. • Hands‑on with Databricks (Unity Catalog, MLflow) or equivalent ML platforms. Tech Stack: • Python • Databricks • Experience with AWS, GCP, or Azure • SageMaker/Vertex/Azure AI experience • CI/CD with Docker/Kubernetes • Terraform This is an urgent role so you must be readily available to start and interview ASAP. Please apply directly and note you must also be UK based.