GenAI Engineer Google Gemini Specialist

Join a forward-thinking team building the next generation of Generative AI applications using Google Gemini. This 6-month contract offers the chance to architect and deploy LLMs at scale on GCP, driving performance, efficiency, and innovation.

You'll play a hands-on role in model development, optimisation, and integration - helping to deliver robust, production-ready AI solutions across enterprise-level platforms.

Job Title:

GenAI Engineer (Google Gemini Specialist)

6-Month Contract | Hybrid (London) | Rate Dependent on Experience | Inside IR-35

We're seeking an experienced GenAI Engineer with expertise in Google Gemini to join our client on a 6-month project at the forefront of Generative AI. This role offers the opportunity to design, build, and deploy cutting-edge AI models within a Google Cloud Platform (GCP) environment, contributing directly to the development of innovative, production-grade AI solutions.

• Design, develop, and implement Generative AI models using Google Gemini to address specific business challenges.

• Fine-tune and optimise models for accuracy, scalability, and performance.

• Integrate AI capabilities into existing systems, ensuring seamless deployment and operational stability.

• Collaborate with data scientists, AI engineers, and product teams to deliver end-to-end AI applications.

• Oversee model monitoring and retraining to maintain reliability and mitigate bias.

• Support the design and architecture of ML and GenAI platforms for large-scale deployment.

• Stay current with emerging AI technologies and Google's evolving ecosystem to drive continuous innovation.

• Produce technical documentation and provide guidance to key stakeholders.

• 5+ years in Data Science or Machine Learning Engineering, with a focus on Generative AI.

• Proven experience building ML or GenAI platforms end-to-end.

• Hands-on expertise with Google Gemini and associated GCP AI/ML tools.

• Strong programming ability in Python, with frameworks such as TensorFlow and PyTorch.

• Experience migrating models from Dataiku (or similar platforms) into Google Cloud environments.

• Knowledge of MLOps, model monitoring, data drift, and concept drift.

• Understanding of AI bias mitigation, governance, and responsible AI practices.

• Background in Financial Services or Insurance is advantageous.

• Google Cloud AI/ML certifications.

• Experience working with multi-modal AI models (text, image, audio).

• Awareness of AI ethics, governance frameworks, and secure deployment standards.

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