Machine Learning Ops Engineer, Habitat Energy

Salary not provided

SQL

Docker

Kubernetes

Python

Postgres

Airflow

Terraform

NumPy

Pandas

Scikit-Learn

Prometheus

Snowflake

Git

Mid and Senior level

Austin

2 days a week in office

Battery storage and renewable energy optimisers

Job no longer available

Battery storage and renewable energy optimisers

101-200 employees

FintechB2BMarketplaceEnergyeCommerce

Job no longer available

Salary not provided

SQL

Docker

Kubernetes

Python

Postgres

Airflow

Terraform

NumPy

Pandas

Scikit-Learn

Prometheus

Snowflake

Git

Mid and Senior level

Austin

2 days a week in office

101-200 employees

FintechB2BMarketplaceEnergyeCommerce

Company mission

To deliver outstanding returns to our clients to increase the attractiveness of renewable energy globally and support the transition to a clean energy future.

Job

Company

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 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, the global expansion is already showing promise with a number of successful collaborations and projects already in the works. This is an exciting time for the company and will sure be one to watch in the coming years.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Jun 2020

$0.3m

GRANT

Apr 2019

$1.8m

GRANT

Total funding: $2.1m

Company HQ

City Centre, Oxford, UK

Leadership

Andrew Luers

(Co-Founder & CEO)

Graduated from the University of Oxford with a Doctor of Philosophy in Physics. Also the Co-Founder of ProviderTrust where they serve as a Managing Partner.

Ben Irons

(Co-Founder & CSO)

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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