Contract Machine Learning Engineer (GCP) 6-Months £600

Contract Machine Learning Engineer (GCP) 6-Months £600

Posted Today by Army Marketing

£600 Per day
Outside
Undetermined
London, England, United Kingdom

Summary: The role of Contract Machine Learning Engineer focuses on designing and building production-ready machine learning models on Google Cloud Platform (GCP). This hands-on position emphasizes delivering scalable and reliable systems that address real business challenges. The contract is set for a duration of six months and is classified as outside IR35. The ideal candidate will transition models from concept to production, rather than remaining in research or experimentation phases.

Key Responsibilities:

  • Design, build, and productionise machine learning models using GCP-native services
  • Translate business problems into deployable ML solutions
  • Develop and maintain end-to-end ML pipelines (training, testing, deployment, monitoring)
  • Work with data scientists and engineers to operationalise models at scale
  • Implement best practices for model performance, versioning, and lifecycle management
  • Ensure solutions are secure, scalable, and cost-efficient within GCP

Key Skills:

  • Strong hands-on experience building and deploying ML models on Google Cloud Platform
  • Experience with services such as Vertex AI, BigQuery, Cloud Storage, and Cloud Functions / Cloud Run
  • Solid Python experience for ML and data engineering workloads
  • Experience productionising models (not just experimentation or notebooks)
  • Understanding of MLOps concepts: CI/CD, monitoring, retraining, and model governance
  • Ability to work independently in a contract environment and deliver at pace

Salary (Rate): £600 daily

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Contract Machine Learning Engineer (LLM & GC) 6-Month Contract | Outside IR35 | £600 per day

We are seeking an experienced Machine Learning Engineer to support the design and build, production ready ML models on Google Cloud Platform (GCP). This is a hands-on delivery role, focused on turning models into scalable, reliable, production systems that solve real business problems. The contract will run for at least 6-months, will be Outside IR35 at £600 per day, and we are looking to start the project at the beginning of March. This role suits a delivery-focused ML Engineer who enjoys taking models from concept through to production, rather than staying purely in research or experimentation.

Key Responsibilities

  • Design, build, and productionise machine learning models using GCP-native services
  • Translate business problems into deployable ML solutions
  • Develop and maintain end-to-end ML pipelines (training, testing, deployment, monitoring)
  • Work with data scientists and engineers to operationalise models at scale
  • Implement best practices for model performance, versioning, and lifecycle management
  • Ensure solutions are secure, scalable, and cost-efficient within GCP

Required Experience

  • Strong hands-on experience building and deploying ML models on Google Cloud Platform
  • Experience with services such as Vertex AI, BigQuery, Cloud Storage, and Cloud Functions / Cloud Run
  • Solid Python experience for ML and data engineering workloads
  • Experience productionising models (not just experimentation or notebooks)
  • Understanding of MLOps concepts: CI/CD, monitoring, retraining, and model governance
  • Ability to work independently in a contract environment and deliver at pace

Nice to Have

  • Experience with real-time or near-real-time ML use cases
  • Exposure to data pipelines and orchestration tools
  • Prior work in regulated or large-scale enterprise environments

Contract Details

  • Duration : 6 months
  • Rate : £500 per day
  • IR35 : Outside IR35
  • Start : March 2026

To learn more about this opportunity, please send your CV to Method Resourcing for consideration. RSG Plc is acting as an Employment Business in relation to this vacancy. LNKD1_UKTJ