Senior AI/ML Engineer Shaping AI for individuals and business London (Hybrid, 3 days/week) Up to £120k + 10% bonus + £20k equity

We’re building AI that actually matters. AI is at the centre of every business, what you’re working on is HOW it’s used powering personalised apprenticeship learning at scale for some of the world’s most ambitious organisations and individuals looking to better themselves. As a Senior AI/ML Engineer at Multiverse, you won’t just ship models. You’ll own the full lifecycle, influence our product roadmap, and leave a tangible mark on how people develop their careers.

This is a role for someone who’s done real AI work inside a high-calibre engineering organisation and worked closely with product.

What you’ll do Design and deploy LLM/RAG systems (GPT, Claude, Gemini) powering content generation, semantic search, and personalised learning experiences

Build Knowledge Graph capabilities to underpin agentic workflows

Own the end-to-end ML lifecycle from raw data and experimentation through to production deployment and continuous evaluation

Lead MLOps infrastructure on AWS , building robust pipelines for training, monitoring, and retraining

Bridge technical AI work with business strategy you’ll have a seat at the table when product direction is set

Enable and upskill colleagues across the organisation, making AI tangible and accessible

What we’re looking for You’ve built and deployed ML/LLM systems in production. Not just fine-tuned a model in a notebook you’ve taken it to real users, measured it, and iterated.

You’ve done this inside organisations that take engineering seriously. Whether that’s a top-tier tech company, a defence/intelligence-grade AI startup, or a fast-scaling data-led business you know what good looks like and you hold yourself to it.

Your foundations are strong. A degree in Computer Science, AI, or a closely related field from a leading university is a great indicator, though it’s your depth of applied expertise that matters most.

Technically, you bring:

Python fluency (NumPy, Pandas, Scikit-Learn, PyTorch) and solid TypeScript/API skills

Hands-on experience with LLMs prompt engineering, evaluation, RAG architectures, safety considerations

Cloud-native development on AWS and practical MLOps: CI/CD for models, version control, observability, retraining pipelines

Familiarity with LangChain, Terraform, and modern AI tooling (Cursor, Gemini) is a strong plus

Experience with both structured and unstructured data, including preprocessing and feature engineering

Stack: Python PyTorch LangChain AWS SQL Terraform CI/CD MLOps

Base salary: Up to £120,000

Bonus: 10%

Equity: worth £20,000

Flexibility: Hybrid (3 days London office) + 10 days work-from-anywhere per year

Interview process 3 stages. Straightforward, respectful of your time.

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