Machine Learning Engineer (Recsys)

MLabs; City Of London; On-site; GBP 190,000 - 229,000; Full time

Job summary

A leading software development company in London seeks a Machine Learning Engineer to build and scale core recommendation systems. The ideal candidate will have strong proficiency in Python and SQL, experience with ML frameworks in cloud environments like GCP or AWS, and a solid understanding of NLP and computer vision. This role offers a competitive salary between $250K - $300K and an opportunity to impact significant user engagement through innovative ML solutions.

Benefits

Competitive salary

Negotiable equity opportunities

Significant upside potential

Fast-paced work environment

Qualifications

• Must be proficient in Python and SQL.
• Strong experience deploying ML frameworks in a major cloud environment.
• Understanding of core Machine Learning domains.

Responsibilities

• Design and implement recommendation systems.
• Develop engagement models for user interaction.
• Build and maintain a search infrastructure.
• Lead ML projects from research to production.
• Collaborate with product and engineering teams.

Skills

Proficient in Python

Proficient in SQL

Experience with NLP

Experience with computer vision

Strong communication skills

Tools

GCP

AWS

Job description

Machine Learning Engineer - Recommendation Systems

Location: London (Office)

Compensation: $250K - $300K

We are a high-growth software development company and a team of elite builders, known for our contributions to one of the largest crypto social networks globally. Our pioneering platform allows anyone to create a coin in under one minute for free, establishing itself as the home for memecoin creation and trading on Solana. The platform has generated over $700 million in revenue and is focused on building the future of social crypto. We are seeking a Machine Learning Engineer to build and scale our core recommendation systems.

You will be responsible for designing, building, and deploying the machine learning systems that drive user discovery and engagement across our rapidly growing platform. This is a high-impact role requiring end-to-end ownership of critical features, ensuring our models scale effectively to handle significant real-time volume and user activity.

Key Responsibilities:

• Recommendation Systems: Design and implement systems to surface and suggest coins to users for enhanced discovery.
• Engagement Models: Develop sophisticated models for notification recommendations and for ranking comments and replies to optimize user engagement and content quality.
• Search Infrastructure: Build and maintain a highly effective search system to improve user navigation and coin discovery.
• Project Ownership: Lead ML projects end-to-end, from initial research and prototyping to production deployment and monitoring.
• Collaboration: Work closely with product and engineering teams, translating business needs into high-performance ML solutions.

• Technical Proficiency: Must be proficient in Python and SQL.
• ML Frameworks: Strong experience deploying ML frameworks in a major cloud environment (e.g., GCP or AWS is preferred).
• ML Expertise: Strong understanding of core Machine Learning domains, including NLP, computer vision, and transformer models.
• Project Leadership: Proven experience in leading projects end-to-end and strong communication skills.
• Startup Experience: Experience at a strong startup or scale-up known for rapid development and high technical standards.

Preferred Experience (Nice-to-Haves):

• Experience in real-time serving of ML models at massive scale.
• Knowledge or direct experience within the crypto or Web3 industry.

• Compensation: Competitive salary ($250K - $300K).
• Equity: Negotiable equity opportunities.
• Upside: Significant upside potential based on the company's high-growth trajectory and market position.
• Impact: Direct opportunity to build core algorithms for a platform that has generated hundreds of millions in revenue and is leading innovation in the crypto social space.
• Culture: Join a team of elite builders in a fast-paced environment that is actively pushing the boundaries of the industry.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by [e-mail].

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