Data Scientist Engineer

About the Role

We’re looking for a hands-on Data Scientist to join our Machine Learning team. You’ll build and improve the models that power our energy disaggregation product, working across the full lifecycle from research and prototyping to production deployment.

This role suits someone who wants to grow their ML career while working with large-scale, real-world energy data on a product with meaningful environmental impact.

Key Responsibilities

• Develop and improve ML models for energy disaggregation and related use cases.
• Take ML models and capabilities from research and prototyping through to production deployment, working closely with data engineers and software developers.
• Help define and improve the KPIs and validation frameworks used to evaluate model performance.
• Monitor deployed models, troubleshoot performance issues, and iterate based on real-world results.
• Collaborate with product managers to shape the roadmap for ML initiatives.
• Use AI-assisted development tools and agentic workflows to support research, coding, debugging, experiment design, and model evaluation.
• Design iterative ML experimentation loops to test hypotheses, compare results, analyse errors, and move validated improvements into production.

Qualifications and Experience

• Degree in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
• 5 years of hands-on experience developing, deploying, and improving ML models in production.
• Strong production Python skills, with experience turning research code and notebooks into reliable, tested, and observable software for live customer environments.
• Solid understanding of ML algorithms and statistical modelling, with practical experience using machine learning and deep learning frameworks.
• Working knowledge of MLOps practices, including model tracking, containerisation, testing, and CI/CD.
• Practical experience using AI-assisted development tools or agentic workflows for software development, research, or ML experimentation.
• Familiarity with electricity fundamentals and signal processing applied to energy data.

Who We Are

DevGrid is a top-tier software consulting company based in the UK, with a development hub in Brazil and operations spanning Europe and the US.

We believe that world-class software can only be created by a motivated and enthusiastic team in an environment that fosters creativity and free thinking.

Established in 2015, we aim to drive innovation and digital transformation by combining our robust business culture and exceptional engineers with forward-thinking business insights.

What We Offer

• Contract-based hiring
• Full-time opportunity (40 hours per week)
• 100% remote work/home office
• Performance-based bonuses tied to achievements and deliverables
• Open and flexible time-off policy
• Supportive and collaborative work environment
• Equipment program
• Paid days off per year + holidays (variable) + recess days
• Sponsorship program for relevant courses and training

For more information, visit:

Website: https://devgrid.co.uk/

Glassdoor:

https://www.glassdoor.com.br/Visão-geral/Trabalhar-na-DevGrid-EI_IE2920141.13,20.htm

If you're interested in the job opening and our mission, come join us on this journey!

Live long and prosper!

**All DevGrid positions are open to individuals from all backgrounds (including all races, colors, nationalities, religions, genders, sexual orientations, disabilities, ages, or other applicable characteristics), promoting equal opportunities and affirmative action.