Build, train, optimize, and integrate machine learning and large language model systems for real-time games and interactive experiences. Own projects across the ML pipeline from data preparation and experimentation through production deployment. Collaborate with engineers, artists, writers, and designers to create compelling AI-powered products, with emphasis on performance, latency, efficiency, and creative applications.
Machine Learning Engineer (Mid-level / Senior)
This is a hybrid role (3 days per week) based out of London.
Iconic Interactive is an AI-native game development and research studio exploring the future of interactive entertainment, digital actors, and intelligent worlds.
We’re looking for an experienced Machine Learning engineer to join our team, focused on building custom, efficient models and integrations to power real-time interaction for the next generation of games and interactive experiences.
As part of a small, focused team, you'll have significant autonomy and end-to-end ownership over design and implementation. You’ll work closely with artists, writers and designers as well as the rest of the engineering team to build systems that actually translate into creative & fun games.
What You’ll Do:- Build, train and integrate ML models for real-time interactive experiences
- Develop systems and applications powered by LLMs
- Own projects across the ML pipeline, from experimentation through to production
- Optimise models for performance, latency and efficiency
- Work with engineering and creative teams to turn ML capabilities into compelling experiences
- Strong knowledge of Python
- Experience writing models in PyTorch or JAX
- A good understanding of how large language models work
- Comfortable working along the whole ML pipeline: from data preparation to model design, training and evaluation, and shipping in products
- Degree in Computer Science or a related field, or equivalent industry or personal experience (show us your personal projects!)
- Experience building agent harnesses or user-facing systems based on LLMs
- Experience shipping machine learning models on consumer devices or edge compute
- Experience optimising, quantising or writing kernels for LLMs
- Knowledge of C/C++, or experience with Unreal Engine, Unity or similar game engines
- Experience with managing ML environments and hardware
- Experience working with audio models or other multi-modal models.
- An appreciation for game design and development principles
The ideal candidate is unlikely to have all the above, so if you have any, we would love to hear from you.
Why Join UsBe a foundational member of a team innovating at the intersection of AI, games, art and storytelling. You’ll help shape the technical foundations of a company building toward something genuinely new.
What We Offer- Competitive salary and equity compensation
- 25 days annual leave + bank holidays
- Private healthcare
- London-based hybrid working
- Inclusive & friendly company culture with socials and game breaks
Iconic London, England Office
London, United Kingdom
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