Climate ML Engineer – Solar Forecasting

Open Climate Fix; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Salary £40,000 - £60,000

Flexible hours

30 days annual leave

Private healthcare

Global travel insurance

7% Employer Pension Contribution

Generous parental leave

Work from abroad allowance

Job summary

A climate technology organization is seeking a Machine Learning Engineer at the mid or junior level to develop innovative solutions for climate change. The role requires experience in deep learning and Python, addressing real-world data challenges. You will collaborate with cross-functional teams and contribute to impactful projects, working in a hybrid setting based in London. If you're passionate about reducing carbon emissions and have the skills to back that up, this opportunity could be yours.

Qualifications

• 1-4 years of experience in developing deep learning models.
• Experience with large datasets and real-world data handling.
• Passion for climate change mitigation.

Responsibilities

• Develop and train new machine learning models.
• Run experiments using current models for specific projects.
• Architect high-volume data pipelines.

Skills

Deep learning model development

Python programming

Git

Real-world data handling

Machine learning experimentation

Education

Bachelor's degree in Computer Science or related field

Postgraduate degree in a relevant area

Tools

PyTorch

Job description

A climate technology organization is seeking a Machine Learning Engineer at the mid or junior level to develop innovative solutions for climate change. The role requires experience in deep learning and Python, addressing real-world data challenges. You will collaborate with cross-functional teams and contribute to impactful projects, working in a hybrid setting based in London. If you're passionate about reducing carbon emissions and have the skills to back that up, this opportunity could be yours.