Machine Learning Scientist

TechChain Talent; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading software development organization in London is seeking a Machine Learning Scientist to apply AI techniques for platform development. The role involves designing ML models, collaborating with engineers, and optimizing infrastructure. Ideal candidates will have strong skills in Python and machine learning, with a passion for creating real-world impacts. Competitive compensation and fast-paced work environment offered.

Qualifications

• Experienced in machine learning algorithms and data structures.
• Hands-on experience with deploying models into production.
• Comfortable maintaining ML infrastructure and deployment pipelines.

Responsibilities

• Design and develop machine learning models to improve user experience.
• Build scalable data pipelines using large datasets.
• Integrate ML models into the platform for real-time performance.
• Monitor and iterate on deployed models for robustness.

Skills

Machine Learning

Python

Statistical modeling

Problem solving

Job description

Who We Are

We are a fast-growing software development organization made up of high-performing builders pushing the limits of whats possible. Our team contributes to large-scale, globally used products in the crypto and social technology space. We move quickly, operate with high ownership, and build for the future.

What Youll Do

As a Machine Learning Scientist, you will play a key role in applying AI and machine learning techniques to shape the next generation of our platforms. Youll collaborate with top-tier engineers and product teams to develop advanced models powering personalization, recommendations, search, and real-time decision-making.

Your responsibilities include:

• Designing and developing machine learning models that improve user experience, enhance predictive performance, and enable smarter platform interactions

• Helping build scalable data pipelines and leveraging large datasets to generate insights that influence product strategy

• Assisting in developing and optimizing ML infrastructure to ensure scalability, efficiency, and readiness for production deployment

• Working closely with product and engineering teams to integrate ML models into the platform with seamless, real-time performance

• Monitoring, optimizing, and iterating on deployed models to ensure robustness in dynamic, real-world environments

• Collaborating with engineering and data science teams to solve complex technical challenges, including large-scale, decentralized data processing
  Staying up to date with the latest research and industry advancements to introduce new ideas, techniques, and approaches

Who You Are

• An experienced Machine Learning Scientist with strong foundations in algorithms, data structures, or statistical modelling
• Proficient in Python, with hands-on experience deploying models into production environments
• Comfortable maintaining ML infrastructure, including deployment pipelines, monitoring tools, and systems designed for scaling data and models (preferred)
• Experienced in fast-paced, high-performance environments, ideally within high-growth start-up's or scaling tech companies
• Passionate about leveraging machine learning to create real-world impact, with interest in emerging technologies such as blockchain, crypto, and SocialFi
• A problem-solver who enjoys tackling complex challenges and experimenting with new technologies, especially those shaping decentralized applications
• Highly collaborative, able to communicate technical concepts clearly to both technical and non-technical audiences
• High-agency, ownership-driven, and capable of independently leading projects end-to-end

Please email for more information: [e-mail]