Senior Machine Learning Engineer
Archer Recruitment
Job Overview
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Job Description
Senior Machine Learning Engineer
Join a rapidly growing, innovation-led technology company that is redefining supplier sourcing through AI. This organisation replaces months of manual supplier research with minutes of intelligent, data-driven matching.
You will play a critical role in owning and strengthening the data and AI layer of a production platform. You will work hands-on in Python, build robust NLP systems, and ship frequently in a lean, high-trust engineering environment.
You will have real autonomy, close access to leadership, and the opportunity to shape how AI is applied in a commercial, customer-facing product.
Why You'll Love It Here at Archer Recruitment
- Take ownership of a mission-critical AI/ML system of a growing product.
- Collaborate directly with engineering leadership with real influence on decisions.
- Move fast and ship often in a practical, outcome-driven environment.
- Fully remote engineering culture with a small, high-calibre team.
Your Responsibilities
- Design and enhance AI-powered supplier matching that delivers real customer value.
- Work hands-on in Python, shipping features frequently.
- Strengthen and stabilise the existing data and ML architecture.
- Apply practical NLP techniques to solve real-world problems.
- Proactively spot risks and take ownership of solving them.
Skills & Experience Required
- Applied data science and analytics experience in real-world systems.
- Hands-on NLP experience (LLMs, embeddings, ranking, classification).
- Experience with supplier data, procurement, marketplaces, search, or ranking problems.
- Over 5 years of strong, production-level Python experience.
- Excellent English communication skills and stakeholder confidence.
- Natural Language Processing experience (LLMs, embeddings, classification, ranking).
Key skills/competency
- Machine Learning
- Natural Language Processing (NLP)
- Python
- Data Science
- AI Product Development
- Production Systems
- Deep Learning (LLMs/Embeddings)
- Data Architecture
- Problem Solving
- Stakeholder Communication
How to Get Hired at Archer Recruitment
- Research Archer Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for AI/ML roles: Highlight Python, NLP, data science, and production ML experience.
- Showcase your NLP projects: Provide examples of practical applications of LLMs, embeddings, ranking, or classification.
- Prepare for technical Python/ML questions: Focus on data structures, algorithms, and machine learning system design.
- Demonstrate problem-solving and ownership: Be ready to discuss how you've proactively identified and solved risks.
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