Fynity
AI Research Engineer
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AI Research Engineer
£55,000 - £60,000 + Benefits
We're looking for an AI Research Engineer to help shape the future of AI within a well-established technology business.
This is an opportunity to explore, evaluate and prototype emerging AI technologies before helping bring successful ideas into production. You'll work closely with engineering teams to research new approaches, build proof of concepts and identify where AI can genuinely add value across the organisation.
This role would suit someone who enjoys staying ahead of the latest developments in AI and Machine Learning and wants the freedom to experiment with technologies such as LLMs, Agentic AI, RAG and Computer Vision.
What you'll be doing
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- Research and evaluate emerging AI technologies, frameworks and tools.
- Build proof of concepts and prototypes using Python.
- Investigate applications of LLMs, Agentic AI, RAG and Machine Learning.
- Work alongside engineering teams to transition successful concepts into production.
- Explore AI solutions for image recognition, automation and intelligent workflows.
- Keep up to date with the latest AI research and recommend innovative approaches.
We're looking for someone with experience in some of the following:
- Python
- Machine Learning / Artificial Intelligence
- LLMs (OpenAI, Anthropic, Gemini or similar)
- Agentic AI
- RAG
- Computer Vision (desirable)
- PyTorch, TensorFlow or similar ML frameworks
- Cloud platforms (Azure, AWS or GCP)
- A genuine passion for researching and experimenting with new AI technologies
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Commercial AI experience is beneficial but we're equally interested in candidates who have built strong personal projects, completed research, or have postgraduate experience applying modern AI techniques.
Why join?
This is an opportunity to join a business at the beginning of its AI journey, where you'll have genuine influence over the direction of future AI capabilities. Rather than maintaining existing AI products, you'll have the chance to explore new ideas, validate emerging technologies and help shape how AI is adopted across the organisation.
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