GENERATIVE AI ENGINEER

• Location

London

• Sector:

Digital & Technology

• Job type:

Contract

• Salary/Rate:

negotiable

• Contact:

Amy Hughes

• Contact email:

[email protected]

• Job ref:

19710USER_75

• Consultant:

Amy Hughes

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Generative AI Engineer

Deliver key technical industrialisation work packages to support the rollout and scaling of tools developed during the Watts programme.

We are seeking a Generative AI Engineer. In this role, you will contribute to the development and deployment of generative AI models and solutions, supporting major projects and driving impactful AI initiatives. You’ll work closely with senior AI professionals and help design and implement AI solutions that deliver real business value.

AI Solution Development

• Assist in the design and development of generative AI models and solutions across various Watts projects.
• Work with senior engineers to integrate AI models into business processes, ensuring solutions align with organisational needs and objectives.

Coding & Implementation

• Write, optimise, and implement AI code for model development, integrating generative AI models into scalable production environments.
• Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions.
• Collaborate with engineering teams on coding best practices, version control, and CI/CD processes.

Data Governance & Security

• Ensure compliance with internal data governance policies and industry regulations related to AI models and data processing.
• Implement best practices in data privacy, security, and ethical AI, particularly when handling sensitive data.

Skills

• Proficient in coding and optimising generative AI models, especially in prompt engineering and LLMs.
• Familiarity with AI/ML algorithms and deploying models in cloud environments.
• Experience with version control tools (e.g., Git) and knowledge of Docker and containerisation.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Educational Background

• BSc in Computer Science, Statistics, Engineering, or a related field.
• Advanced certifications in AI/ML, cloud computing, or data engineering are advantageous.