Machine Learning Engineer ($80-$120/hr) at innovative AI platform

Jack & Jill/External ATS; Remote; GBP 125,000 - 150,000; Part time

Job summary

A modern AI platform is looking for a part-time Machine Learning Engineer to tackle unconventional ML problems in a fully remote setting. The role allows for flexibility and autonomy, emphasizing defined outcomes over hours worked. Ideal candidates will have up to 2 years of experience or a relevant PhD and strong skills in Python and major ML libraries like TensorFlow. This position offers a unique opportunity to contribute to innovative AI solutions while maintaining a work-life balance.

Qualifications

• Strong Python skills with practical experience in ML libraries.
• Solid foundation in data preparation and model training.
• 0–2 years of practical experience or a PhD with ML courses.

Responsibilities

• Draft natural-language plans and implement ML code.
• Translate ML problems into agent-executable tasks.
• Identify and fix failure modes in LLM-generated trajectories.

Skills

Strong Python skills

Experience with TensorFlow

Experience with scikit-learn

Experience with XGBoost

Data preparation

Model training

Model evaluation

Education

0–2 years of experience as a Machine Learning Engineer or PhD in Computer Science

Job description

Machine Learning Engineer

Salary: $80–$120 per hour

Company Description: An innovative AI platform solving unconventional and challenging machine learning problems using cutting‑edge approaches and modern ML tooling.

Job Description

As a Machine Learning Engineer, you will work on diverse and non‑standard ML problems in a flexible, remote, and asynchronous environment. This part‑time role is structured around clearly defined outcomes rather than hours, giving you autonomy over how and when you work while contributing meaningfully to advanced AI systems.

Location: Remote

Why this role is remarkable

• Work on unconventional and intellectually challenging machine learning problems
• Fully remote, asynchronous, part‑time setup with clear structure and measurable outcomes
• Contribute to cutting‑edge AI solutions within a forward‑thinking platform

What you will do

• Draft detailed natural‑language plans and implement corresponding machine learning code
• Translate novel ML problems into agent‑executable tasks for reinforcement learning environments
• Identify failure modes and apply targeted fixes to LLM‑generated trajectories

The ideal candidate

• 0–2 years of experience as a Machine Learning Engineer, or a PhD in Computer Science with ML coursework
• Strong Python skills with experience using libraries such as TensorFlow, scikit‑learn, and XGBoost
• Solid experience in data preparation, model training, and evaluation

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. Login 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