Lead Machine Learning Engineer at AdvisoryAI

Jack & Jill; Remote; GBP 100,000 - 125,000; Full time

Job summary

A fintech SaaS company is looking for a Lead Machine Learning Engineer to design and implement AI-driven solutions. You will collaborate with various teams and build end-to-end ML pipelines. The ideal candidate should have strong Python programming skills and experience with ML frameworks like TensorFlow or PyTorch. This remote role offers the chance to impact financial services widely.

Qualifications

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

Responsibilities

• Collaborate with product, engineering, and research teams to design and evaluate AI experiments.
• Build end-to-end pipelines for training, fine-tuning, and deployment of ML solutions.

Skills

Strong programming experience in Python

Proficiency with ML frameworks like TensorFlow or PyTorch

Experience building robust, scalable ML systems

Familiarity with large language models (LLMs)

Job description

Lead Machine Learning Engineer at AdvisoryAI

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Job Title: Lead Machine Learning Engineer

Company Description: AdvisoryAI - VC-backed fintech SaaS

Location: Remote

Salary: Not Disclosed

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.

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.