Senior Machine Learning Engineer (LLM)

Job description

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).

Extra information

Status

Open

Education Level

Secondary School

Location

City of London

Type of Contract

Full-time jobs

Published at

05-02-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English