Senior Machine Learning Scientist (Remote - EMEA)

Jobgether; United Kingdom; Remote; GBP 51,907 - 77,861; Full time

Benefits offered by this job

Competitive compensation package

Flexible paid time off

Stock options

Annual learning stipend

Collaborative team culture

Job summary

A technology solutions provider is seeking a Senior Machine Learning Scientist to design and scale AI-powered data products. This fully remote role in EMEA requires an advanced degree and 5+ years of relevant experience. The successful candidate will analyze complex datasets and collaborate with engineering and product teams. A competitive compensation package and flexible time off are offered, along with opportunities for professional development.

Qualifications

• 5+ years of experience with machine learning in SaaS environments.
• Hands-on experience with predictive modeling and recommendation systems.
• Ability to deploy ML models into production.

Responsibilities

• Design, develop, and scale AI-powered data products.
• Analyze complex datasets using ML and statistics.
• Deploy models ensuring accuracy, fairness, and performance.

Skills

Machine Learning

Python

NLP

Statistical Modeling

Data Wrangling

Collaboration

Cloud Platforms

MLOps

Education

Master's or PhD in Computer Science, Data Science, Statistics

Tools

PyTorch

TensorFlow

SQL

AWS

Azure

Job description

Senior Machine Learning Scientist (Remote - EMEA)

This position is posted by Jobgether on behalf of Testlio. We are currently looking for a Senior Machine Learning Scientist in EMEA. This role is a hands-on, high-impact opportunity to design, develop, and scale advanced AI-powered data products. You will transform large, complex datasets into actionable insights that directly influence product quality, user experience, and business decisions. The position blends applied machine learning, deep learning, and statistical modeling with real-world business impact. You will collaborate closely with engineering and product teams to deliver production-ready ML solutions while contributing to the growth of the data science practice.

Accountabilities

• Partner with engineering and product leaders to define, design, and deliver AI-powered data products
• Explore, model, and analyze complex datasets using machine learning, deep learning, and statistical methods
• Prototype, validate, and deploy models into production at scale, ensuring accuracy, fairness, and performance
• Implement AI techniques such as NLP, predictive analytics, anomaly detection, recommendation systems, and custom model training
• Translate raw model outputs into clear, actionable insights for customers and internal stakeholders
• Continuously measure, evaluate, and improve model performance, robustness, and scalability
• Contribute to building and maturing the data science practice, including tools, processes, and best practices

Requirements

Technical Skills:

• Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, or a related field
• 5+ years of experience applying machine learning and statistical modeling to real-world problems, ideally in SaaS or data-intensive environments
• Strong Python skills and experience with ML frameworks such as PyTorch or TensorFlow
• Hands-on experience with NLP, predictive modeling, recommendation systems, anomaly detection, and training models from scratch
• Expertise in data wrangling, feature engineering, and handling large, complex datasets
• Knowledge of LLMs and SLMs, including architecture, training, fine-tuning (LoRA, QLoRA, SFT), and deployment strategies
• Experience deploying ML models into production and familiarity with MLOps
• Proficiency with SQL, cloud platforms (AWS, Azure), and data visualization tools

Human Skills:

• Curiosity, creativity, and eagerness to experiment with cutting-edge techniques
• Ability to translate technical outputs into tangible business value
• Strong collaboration skills and comfort working across teams
• Adaptability to fast-changing priorities in a scaling environment
• Mentorship mindset and willingness to share knowledge with teammates
• Continuous learning and growth-oriented approach to AI/ML advancements

Benefits

• Fully remote position within EMEA or APAC (excluding high-cost-of-living regions per company policy)
• Competitive compensation package, aligned with experience and market benchmarks
• Flexible paid time off, including personal days, sick days, and national holidays
• Stock options and participation in company growth
• $300 annual learning stipend for personal and professional development
• Opportunity to work with large-scale, high-impact datasets
• Collaborative, inclusive, and purpose-driven team culture

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Non-profit Organizations and Primary and Secondary Education

Thank you for your interest!