Senior Machine Learning Engineer (LLM)

AdvisoryAI is building the AI co-pilot that's transforming wealth management. We automate the tedious middle-office work that buries financial advisors, freeing them to focus on what matters: their clients.

Founded by Entrepreneur First alumni, we've scaled to thousands of daily active users and are currently valued at £100 million. We're raising our Series A in 2025.

We need cracked Software Engineer to help us scale. You'll build the infrastructure powering the next generation of financial advice—working directly with founders, shipping fast, and capturing meaningful equity in a rocket ship company.

This is your chance to join early, build something that matters, and win big.

🧑🏻‍💻 Our Current Tech

• Infrastructure: Python 3.11+, FastAPI, React/TypeScript, AWS (Lambda, ECS, Bedrock, SageMaker), PostgreSQL + Qdrant, Redis, Docker, Kubernetes, GitHub Actions, Terraform
• Vector Search: Pinecone, pgvector, hybrid retrieval (dense + sparse + re-ranking)
• Fine-tuning: LoRA, full fine-tuning pipelines, RLHF for compliance alignment
• MLOps: LangSmith for tracing, custom evaluation frameworks, A/B testing infrastructure
• Monitoring: Real-time hallucination detection, PII scanning, cost tracking, latency monitoring

Location: UK

More than just code, you'll be:

• A builder: Design production LLM systems handling 10K+ daily requests, build meta-prompt engines for regulatory compliance, and architect RAG systems with <100ms query times
• A collaborator: Work alongside founders and engineers shipping ML infrastructure that directly impacts thousands of financial advisors
• An innovator: Push boundaries with model fine-tuning, advanced prompt engineering, and MLOps infrastructure for mission-critical financial applications

We're looking for:

In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset.

• Strong Python development with production ML/LLM systems
• Experience deploying and monitoring LLMs at scale
• Deep understanding of prompt engineering, RAG architectures, and LLM evaluation
• Comfortable with AWS/GCP services (Lambda, Bedrock, SageMaker) and cloud infrastructure
• Very comfortable with PostgreSQL/Qdrant and vector databases
• Experience building scalable systems (APIs, Docker, Kubernetes, distributed systems)
• Experience shipping products from 0 to production
• Autonomous in your work, proactive while working with cross-functional teams
• Preferably with prior experience in high-velocity startup environments
• Prefer people either living in UK

Our values

We’re a small team with big dreams - and the culture we create is just as important to us as the product we’re building.

📈 Growth oriented

Slope y intercept. We invest in people and growth as the company grows.

💚 Humility

Everyone has a lot to give and a lot to learn. Egos are not allowed.

🌟 Customer focused

We love our customers. We make decisions by focusing relentlessly on them - and accept if this means changing our ideas. Customer success is our success.

💡 Intellectual honesty

We believe in creating an environment where the best ideas win and acknowledging when we are wrong.

👾 Hack to success

We move fast and take big swings. We always aim for a solution that addresses 80% of the problem in 20% of the time. We make educated bets, launch MVPs, and iterate.

🔥 Having fun

Be unapologetically you! We love our game-nights, ping pong tournaments, bufo emojis, and cow jokes.

Company Benefits

Not sold yet? Check out some benefits you’ll have access to as well:

🧧 Competitive compensation and equity

✈️ Flexible work culture

🌻 Unlimited days paid time off every year

🍱 Free lunch and dinners

💻 $700/year work setup stipend

🌴 Annual team offsite

🌿 Unlimited snacks and caffeine (because brilliant ideas need fuel).