AI & Machine Learning Engineer in Manchester, Greater Manchester

Posted by DCV Technologies

£550 – £600 a day

Manchester · Contract

AI & Machine Learning Engineer – Contract

Contract Type: Contract

Specialisms: Artificial Intelligence | Machine Learning | Generative AI | Google Cloud Platform (GCP)

We are recruiting an experienced AI & Machine Learning Engineer for an exciting contract opportunity focused on developing, deploying and optimising scalable AI and machine learning solutions within a cloud-based environment.

This role requires strong hands-on expertise in Python, PyTorch, Google Cloud Platform (GCP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and MLOps.

Key Responsibilities

  • Design, develop, test and deploy AI/ML applications using Python, PyTorch and GCP.
  • Build and integrate Generative AI solutions using transformer architectures, RAG and agent-based frameworks such as ReAct.
  • Package, containerise and serve machine learning models using Docker, KServe and Vertex AI endpoints.
  • Implement CI/CD pipelines, model registries, feature stores, model monitoring and drift detection.
  • Optimise cloud infrastructure through GPU scheduling, autoscaling and cost-efficient model deployment.
  • Support canary deployments, shadow deployments and A/B testing.
  • Perform root cause analysis, troubleshoot technical issues and optimise application performance.
  • Collaborate with engineering teams, project managers and stakeholders throughout the software development lifecycle.
  • Produce technical documentation and support application integration and deployment.

Essential Skills & Experience

  • Strong commercial experience in Python development and PyTorch.
  • Hands-on Google Cloud Platform (GCP) cloud engineering experience – essential.
  • Understanding of transformer architectures, LLMs, Generative AI and RAG.
  • Experience developing AI agents using frameworks or architectures such as ReAct.
  • Practical experience with Docker, cloud databases and containerised applications.
  • Knowledge of MLOps, CI/CD, model deployment, monitoring and production AI systems.
  • Experience with Vertex AI, KServe, GPU workloads and scalable cloud infrastructure.
  • Strong debugging, problem-solving and technical stakeholder communication skills.

Why Apply?

An excellent opportunity to contribute to technically challenging AI and machine learning projects, working with modern cloud technologies and production-scale Generative AI solutions.

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