Lead Machine Learning Engineer at AdvisoryAI

Jack & Jill/External ATS; Greater London; Remote; GBP 125,000 - 150,000; Full time

Job summary

A fintech startup is seeking a Lead Machine Learning Engineer to design and implement cutting-edge ML solutions. This role allows for significant impact in a funded startup and involves collaboration with various teams to optimize AI experiments and scale model performance. Ideal candidates should have strong programming skills in Python and experience with ML frameworks. The position is remote, offering flexibility and responsibility in shaping ML infrastructure.

Benefits

Flexible work environment

Opportunity to shape ML infrastructure

Significant impact in startup growth

Qualifications

• Strong programming experience in Python.
• Proficiency with ML frameworks like TensorFlow or PyTorch.
• Experience building robust, scalable ML systems.

Responsibilities

• Design, execute, and evaluate AI experiments.
• Implement cutting-edge research methods to optimize model performance.
• Build end-to-end pipelines for ML solutions.

Skills

Python programming

Machine Learning frameworks (TensorFlow, PyTorch)

CI/CD

Large language models

Job description

This is a job that Jill is helping to recruit for on behalf of one of our customers. To apply, speak to Jack.

Job Title:

Lead Machine Learning Engineer

Salary:

Not Disclosed

Company Description:

AdvisoryAI - VC-backed fintech SaaS

Job Description:

AdvisoryAI is revolutionizing wealth management by empowering financial advisors with AI-driven automation. As a Lead ML Engineer, you'll design, implement, and scale cutting-edge machine learning solutions, transforming research into real-world product features. This role offers significant impact in a fast-growing, funded startup environment.

Location:

Remote

Why this role is remarkable:

• Be at the frontier of AI in financial services, impacting real users and outcomes daily.>
• Join a fast-scaling startup with $5M seed funding, established product-market fit, and hundreds of daily active users.
• Enjoy the freedom and responsibility to shape the direction of ML infrastructure and product integration.

What you will do:

• Collaborate with product, engineering, and research teams to design, execute, and evaluate AI experiments.
• Adapt and implement cutting-edge research methods to optimize and scale model performance in production.
• Build end-to-end pipelines for training, fine-tuning, distillation, and deployment of customized ML solutions.

The ideal candidate:

• Possesses strong programming experience in Python and proficiency with ML frameworks like TensorFlow or PyTorch.
• Has proven experience building robust, scalable ML systems, comfortable with CI/CD and model deployment.
• Familiarity with large language models (LLMs) or SLMs (e.g., OpenAI, Llama) and related frameworks (e.g., LangChain).

How to Apply:

To apply for this job, speak to Jack, our AI recruiter.

Step 1. Visit our website

Step 2. Click 'Speak with Jack'.

Step 3. Log in with your LinkedIn profile.

Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.

Step 5. If the hiring manager would like to meet you, Jack will make the introduction.