
ML Engineer
Real Time
Posted 5 days ago
Want to build the brains behind the future of AI?
Our client – a fast-growing, post-raise startup – is on a mission to replace outdated legal workflows with world-first fact extraction and reasoning systems. Backed by funding and working with major firms, they’re scaling fast and hiring a Machine Learning Engineer to lead their AI capabilities.
In this founding-level ML role, you'll shape the core strategy and build out systems that define how AI understands truth in complex documents.
From building data ingestion pipelines to training models that replicate and exceed state-of-the-art performance — your fingerprints will be on everything.
What you’ll be doing:
- Lead ML strategy and architecture in a fast-moving, greenfield startup
- Design and build data pipelines (ingestion, anonymisation, training)
- Train, evaluate and optimise NLP models – especially transformer-based
- Build and scale synthetic data tools and feedback loops (Data Gym)
- Collaborate across teams to productionise models and improve model performance
- Navigate ambiguity and balance short-term wins with long-term investments
What you'll bring to the team:
- Proven NLP experience (NER, classification, fact extraction)
- Hands-on experience with Python, TensorFlow/PyTorch
- Track record designing and building ML systems from scratch
- Startup grit, high ownership and sharp technical decision-making
- Confidence leading ML direction and mentoring best practices
- A genuine obsession with product quality and solving tough problems
What else is offered:
- Joining a magnificent team led by truly inspirational founders who only hire wonderful people.
- $180K base + super + equity (ESOP)
- Career path to Lead ML Engineer
- Join a company obsessed with taste, craft, and moving fast
- Meaningful mission + cutting-edge tech stack
�� Don’t miss out on a career-defining opportunity.
Apply now!
About Real Time
This company does not have any further information provided at this time. We encourage you to research the company by searching for them to learn more about the company or role in question before applying.
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