GE
GetinzAI/ML Engineer
Innovation Engineer responsible for AI - driven solutions at a digital commerce company. Focused on prototyping, exploring technologies, and shaping technology strategy.
About the role
- Build applied ML systems that make our product smarter and more defensible
- Develop contextual categorisation of web content (e.g. automatically recognising industry categories)
- Prototype algorithms that can improve advertising outcomes, such as smarter bidding or optimisation logic
- Work closely with product and commercial teams to package outputs into demos and case studies for clients
- Collaborate with engineers to integrate ML features into production system
- Establish good practices for applied ML in the business, bringing your curiosity and drive to help us move fast while building robust foundations
- Apply modern LLM techniques to business problems:
- Use prompt-engineering strategies to get consistent, accurate results
- Explore augmentation methods (e.g. combining LLMs with our own data via embeddings or retrieval)
- Run fine-tuning experiments to adapt general models to our specific domain
Requirements
- Ideally, you’ve got 1–3 years experience in applied ML/AI (or equivalent practical experience through academic projects or early career roles)
- You’re comfortable coding in Python and using ML frameworks (e.g. PyTorch, Hugging Face, scikit-learn)
- You’ve worked with large language models (LLMs) - not just calling APIs, but experimenting with different ways to get the best out of them:
- Prompt engineering (designing effective prompts, chaining prompts)
- Fine-tuning or instruction tuning models for specific tasks
- Embedding-based augmentation (using vector search to give LLMs access to external knowledge)
- Retrieval-Augmented Generation (RAG) or similar techniques
- You’ve taken messy, real-world data and turned it into useful, structured outputs
- You can show how your work had impact - whether that’s a model in production, a working prototype, or an experiment that unlocked a new direction
- You’re a clear communicator, able to work across functions with product managers, engineers, and commercial stakeholders
- You’re excited by the prospect of being our first ML engineer, owning this area from day one and growing into a lead role quickly
- You don’t need to have worked in adtech before - but if you have, that’s a bonus!
Benefits
- A flexible, hybrid working setup (we’re usually in the office a few times a week, so being within reach of London Bridge is important)
- 33 days holiday (inclusive of Bank Holidays), plus additional Christmas shutdown
- Private Medical Insurance through Vitality
- Picnic Pension Contribution
- Inclusive Parental Leave Policy
- A great co-working space, regular socials & offsites, Picnic Thursdays, Summer Fridays and Work from Roam opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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