Data Scientist, Mid Level

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop and refine machine learning models — encompassing data exploration, feature engineering, training, evaluation, and deployment.

• Design and sustain elements of production ML pipelines: including data preprocessing, model serving, monitoring, and retraining processes.

• Contribute to systems powered by large language models — creating prompt chains, evaluation harnesses, retrieval-augmented generation pipelines, or fine-tuning workflows.

• Analyze extensive multimodal datasets (text, image, video, structured metadata) to extract features and insights that inform downstream models.

• Produce clean, tested, and production-grade Python code — beyond mere notebooks.

• Engage in code reviews, design conversations, and retrospective discussions on experiments.

⛳️ Requirements

• 2–4 years of experience in developing machine learning models, with a portion of that work deployed in production environments.

• Strong foundational knowledge in machine learning: understanding bias-variance trade-offs, cross-validation, regularization, and the ability to analyze reasons behind underperformance of models.

• Proficient in Python with familiarity in essential machine learning libraries.

• Experience with at least one of the following: natural language processing/large language models, computer vision, recommendation systems, or time-series analysis.

• Solid background in software engineering practices — including Git, testing, CI/CD, and code review processes.

• A genuine curiosity about large language models and contemporary AI tools.

• Excellent communication skills — capable of articulating modeling decisions and results to both technical and non-technical team members.

🏝️ Benefits

• Enhanced pension.

• Life assurance.

• Income protection.

• Private healthcare.

• Remote working - whether in a café, bedroom, or beach - wherever suits you best.

• Truly flexible working hours - accommodating school pick-ups, volunteering, or gym sessions.

• Generous leave policy - 27 days of holiday in addition to bank holidays and enhanced family leave.

• Annual bonus - when Satalia excels, we all share in the success.

• Meaningful projects - focusing on driving significant social and environmental change.

• People-centric culture - prioritizing wellbeing and fostering a friendly atmosphere.

• Open and transparent culture - your voice will be valued.

• Development opportunities - emphasizing mutual growth and support.