Machine Learning Ops Engineer, Habitat Energy
2 days a week in office
Battery storage and renewable energy optimisers
Be an early applicant
Battery storage and renewable energy optimisers
21-100 employees
Be an early applicant
2 days a week in office
21-100 employees
Company mission
To maximise the potential of renewable energy, drive investments in the energy transition, and accelerate a low-carbon world.
Role
Who you are
- 3+ years of Python experience
- 3+ years of working with data scientist/ML researchers to develop tooling, collaborate on backtesting frameworks, build data pipelines, build/maintain orchestration workflows or productionise code
- Proficiency with Orchestration and IaC (Airflow, ECS, Kubernetes, Terraform, CloudFormation), Git, Containerization (docker), SQL (Postgres, Snowflake)
- You are fluent in Python and its wider numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.)
Desirable
- Data engineering experience collecting, curating, managing and monitoring large time series data
- Experience with monitoring frameworks (Prometheus)
- Machine learning experience especially time-series forecasting & generative ML problems
- Optimization experience especially linear programming / mixed-integer programming
- Knowledge of a US ISO power market (especially ERCOT)
- Knowledge of time-series forecasting & generative ML problems
- Understanding of probability and statistics
- Understanding and execution of optimization techniques (e.g. linear programming / mixed-integer programming)
- Proficient with optimization modelling packages and solvers
- Experience with data visualization and dashboard technologies (e.g. plot.ly, Dash, Streamlit)
What the job involves
- We have a vacancy for a Machine Learning Ops Engineer to join our US team based in Austin, TX
- This role will be embedded with the Data Science team to develop their model workflows, provide support and improvements, and manage the flow of data through our system
- Develop Data Science Code: Implement robust, scalable, and efficient Python code that transforms optimization or machine learning prototypes into production-grade solutions, and maintain/improve models
- Writing Well-Structured Code: Develop clean, maintainable, well-documented code that adheres to best practices. Mentor and support in the continued improvement of coding practices within the Data Science team
- Supporting Data Engineering Infrastructure: Contribute to the design, development, implementation, and continuous improvement of our data engineering tools, workflows, processes, and platforms. This includes enhancing the architectural foundations and integrating new data management technologies
- Model Optimization and Backtesting: Assist in development and maintenance of backtesting and model tuning frameworks
- Data Quality Management: Continuously enhance data quality across multiple dimensions such as accuracy, availability, performance, and accessibility to ensure a clear understanding of data within the company
Our take
With the world moving onto more sustainable energy, countries across the globe are aiming to harness the power of green energy alternatives. While sustainable energy production is on the rise, technology and finance need to work in tandem so that solutions are profitable and scalable.
Habitat Energy is combining the latest techniques in machine learning and artificial intelligence to provide customers with battery storage and renewable energy assets that deliver the best possible returns.
Following recent funding and partnerships, the company has invested capital into increasing its overseas portfolio and in the US market, expanding its product offerings into renewable and hybrid facilities. Already a market leader in the UK, this expansion will further bolster the company's name internationally and create substantial revenue, boding well for the coming years.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
54% employee growth in 12 months
Company
Funding (2 rounds)
Jun 2020
$0.3m
GRANT
Apr 2019
$1.8m
GRANT
Total funding: $2.1m
Company HQ
City Centre, Oxford, UK
Articles
Leadership
Andrew Luers
(CEO & Co-Founder)Graduated from the University of Oxford with a Doctor of Philosophy in Physics. Also the Co-Founder of ProviderTrust.
Phil Robinson
(Co-Founder)Worked in large multinational companies including EDF Energy and E.ON, providing value-adding analysis and advice to board members and investors.
Ben Irons
(Co-Founder)Previously an Executive Director and Board Member at Aurora Energy Research, Consulting Manager at McKinsey and Company and Strategy Director at Centrica Energy.
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