AI & Machine Learning Engineer
CV-LibraryManchester, Greater ManchestercontractPosted: 9 October 2026
Apply NowAI & 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.
Apply today to discuss this AI & Machine Learning Engineer contract opportunity
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.
Apply today to discuss this AI & Machine Learning Engineer contract opportunity