Senior Machine Learning Engineer
Archer Recruitment
Job Overview
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Job Description
Senior Machine Learning Engineer
Make a direct impact on an AI product that helps companies find suppliers in minutes. Join a fast-moving startup environment with real ownership in the fastest sourcing engine.
This is a fully remote 6-month contract with a strong likelihood of extension for long-term stability.
About Archer Recruitment
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.
Your Role as a Senior Machine Learning Engineer
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:
- 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
Key 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:
- 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
Qualifications:
- 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
- AI Product Development
- Data Architecture
- Supplier Sourcing
- LLMs
- Embeddings
- Classification
- Ranking
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 to understand their innovation-led approach to AI-driven supplier sourcing.
- Tailor your resume for AI and NLP roles: Highlight your production-level Python and extensive NLP experience (LLMs, embeddings, classification, ranking) directly relevant to Archer Recruitment's product development.
- Showcase real-world impact: Prepare to discuss specific examples where your applied data science and ML contributions directly solved business problems, especially related to supplier data, procurement, or search/ranking.
- Demonstrate proactive problem-solving: Be ready to articulate how you identify and take ownership of technical risks and challenges within a fast-paced, lean engineering environment, aligning with Archer Recruitment's outcome-driven culture.
- Prepare for a technical deep dive: Expect questions on designing and enhancing AI-powered matching systems, strengthening ML architectures, and your experience with various NLP techniques in a commercial setting.
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