AI Engineer – Contract Role

La Fosse Associates; Newcastle upon Tyne; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading recruitment firm is looking for an AI Engineer for a 3-month contract role based in Newcastle. The position focuses on designing and implementing cutting-edge AI solutions and requires expertise in Python and Google Cloud Platform. The ideal candidate will have strong experience in machine learning and generative AI, along with excellent communication skills. This hybrid role necessitates 3 days per week on-site collaboration in Newcastle. Please note that the candidate must be UK-based.

Qualifications

• Strong background in Machine Learning, Generative AI, or Software Engineering.
• Hands-on experience with Google Gemini, Vertex AI, GCP services or AWS/Azure.
• Proven ability to integrate foundation models and build scalable AI systems.
• Excellent communication skills and ability to work in a collaborative, fast-paced environment.

Responsibilities

• Design and implement AI-driven solutions using Google Gemini and Vertex AI.
• Build and integrate generative AI models via APIs.
• Develop scalable backend systems in Python for data processing and model orchestration.
• Implement RAG workflows and vector search for knowledge integration.
• Deploy solutions on Google Cloud Platform, ensuring security and compliance.
• Apply ML Ops best practices, including CI/CD pipelines, containerization, and monitoring.

Skills

Machine Learning

Generative AI

Software Engineering

Google Cloud Platform

Python

APIs

CI/CD

Docker

Kubernetes

Tools

TensorFlow

PyTorch

LangChain

Job description

AI Engineer | Contract | Initial 3 Months | Newcastle (Hybrid) | £585-600/day Inside IR35

We have a new contract role for an AI Engineer to work on cutting-edge generative AI solutions leveraging Google Gemini and Google Cloud Platform.

This is a hybrid role with 3 days per week required on site in Newcastle.

Key Responsibilities:

• Design and implement AI-driven solutions using Google Gemini and Vertex AI
• Build and integrate generative AI models via APIs
• Develop scalable backend systems in Python for data processing and model orchestration.
• Implement RAG workflows and vector search for knowledge integration
• Deploy solutions on Google Cloud Platform, ensuring security and compliance
• Apply ML Ops best practices, including CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring

Tech Stack:

• Python
• ML libraries: TensorFlow, PyTorch, LangChain
• Cloud: Google Cloud Platform, Vertex AI, Gemini API
• CI/CD with Docker/Kubernetes

Ideal Candidate

• Strong background in Machine Learning, Generative AI, or Software Engineering
• Hands-on experience with Google Gemini, Vertex AI, GCP services or AWS/Azure
• Proven ability to integrate foundation models and build scalable AI systems
• Excellent communication skills and ability to work in a collaborative, fast-paced environment
• Bonus: Experience with prompt engineering, RAG pipelines, and taking POCs to production

Please apply directly, please note you must also be UK based.

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