AI & Machine Learning Engineer

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…

Hybrid IT
Pay rate £550 – £600/day
Contract type Contract
Posted 9 October 2026

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hybrid working model

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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