Data Scientist Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+4 more
Job description
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., * 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., deliveres over twenty products for clients, involving specific technology and domain expertise: IoT, AI and Machine Learning, Blockchain, Electricity Monitoring, Electronic Payments and PCI-DSS
Requirements
- 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.
Benefits & conditions
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
About the company
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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this role…