Senior Technologist – Birkbeck Centre for Creative AI

Overview

As Senior Technologist you will build and sustain the Centre for Creative AI’s technical foundations, enabling open-source AI models to run locally on high-performance GPU workstations for artists, media practitioners, students and researchers. You will install, configure and maintain local deployments, manage dependencies and inference serving, and support data preparation, fine-tuning and LoRA training. You will also oversee access to commercial AI platforms with a focus on licensing, cost control and responsible use. This role sits at the intersection of cutting-edge tech, teaching and creative practice.

Pay / Benefits

• pension scheme
• 31 days paid leave
• competitive salary
• flexible working policy
• London weighting allowance
• on-campus work during term time

Responsibilities

• Install, configure and maintain local model deployments and GPU environments
• Manage dependencies and inference serving
• Support node-based workflows, dataset preparation, fine-tuning and LoRA training
• Evaluate new models and tools as the field evolves
• Manage access to commercial AI platforms and APIs, including licensing and cost control
• Promote responsible use, licensing, privacy, bias, accessibility and sustainability
• Support teaching and creative work across the Centre’s spaces
• Collaborate with Audio-Visual and Digital Technologist and the Immersive Learning Centre

Key requirements

• Strong technical depth with Python environments, command-line tools and model repositories
• Working understanding of GPU/VRAM constraints
• Ability to explain complex concepts to non-technical audiences
• Awareness of licensing, copyright, data provenance, privacy, bias, accessibility and sustainability
• Background in research computing, creative technology, studio or industry, or as an artist/media practitioner with technical depth

• clear communication across diverse technical levels
• cross-functional collaboration
• problem solving in a dynamic, research-driven environment
• Python environments
• command-line tooling
• model repositories

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