Job Title: Machine Learning Engineer (Contract)
Location: Surrey
Rate: £500 – £700 per day (Inside IR35)
Contract: 3-month initial contract with strong likelihood of long-term (12+ month) rolling extensions
Hybrid Working: 3 Days Per week int he office
About the Role
We are seeking a Machine Learning Engineer to join a small but growing direct-to-consumer AI team. This hybrid role involves working three days per week in the office and two days remotely. It offers an exciting opportunity to design and build a machine learning–driven sales forecasting solution for e-commerce from the ground up.
As a key team member, you will collaborate closely with the AI and Data Science lead to drive the project forward.
Key Responsibilities
* End-to-End ML Ownership: Take full responsibility for developing a machine learning model for e-commerce sales forecasting, including data collection, preprocessing, model training, evaluation, and deployment.
* Data Pipeline Development: Extract, transform, and prepare data for model training using cloud-based data warehouse tools.
* Model Development & Optimisation: Build and refine machine learning models using Python and relevant libraries.
* Cloud Integration: Support model deployment and monitoring within a cloud environment as needed.
* Collaboration & Growth: Work closely with a small, dynamic team to align model outputs with business objectives and contribute to overall team development.
Qualifications & Skills
* Experience: At least 3 years of hands-on experience delivering end-to-end machine learning projects, including data preparation, model development, and deployment.
* Technical Skills:Strong proficiency in Python and common machine learning frameworks.
* Solid SQL skills, ideally with experience in cloud-based data warehouses.
* Experience working with cloud platforms.
* Exposure to time-series forecasting and e-commerce data is advantageous.
* Familiarity with large language models is a plus.
* Soft Skills: Strong problem-solving abilities, adaptability, and a collaborative mindset. We value team members who are eager to learn and grow.
Why Join Us?
* Be part of a small, agile team where your work has direct impact.
* Opportunity to shape and develop an innovative AI solution from the ground up.
* Strong potential for ongoing extensions and longer-term engagement.
Equal Opportunities Statement
We are an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability.
We are committed to providing reasonable accommodations for individuals with disabilities throughout the application and employment process. Please contact us if you require support.