Senior Machine Learning Engineer

We’re looking for a hands-on Senior Machine Learning Software Engineer to join a fast-growing climate-tech firm that is transforming the way investors, corporates, and governments navigate the climate space and energy transition.

What you’ll be doing:

As a Senior Machine Learning Engineer, you will be at the heart of their AI and data operations, developing the next generation of climate intelligence tools. You will design and implement machine learning models and AI-driven processes to extract, classify, and transform large datasets. Your role will also involve developing web scraping and automated data collection techniques to enhance the speed and accuracy of data gathering.

You will be responsible for maintaining and improving data infrastructure, working closely with product managers and engineers to ensure seamless data integration. You will play a key role in building tools to track and predict market events, investment trends, and infrastructure projects in the climate and energy transition space. Driving innovation in AI-driven data processing, you will help automate quality assurance and improve AI-generated insights for clients. This is a hands-on role that requires technical expertise, problem-solving skills, and a collaborative mindset.

This is an exciting opportunity to build AI-powered tools that turn huge amounts of data into actionable insights, helping major players in energy, finance, and industry make smarter, more sustainable decisions. With significant investment backing and a client list featuring some big names, this is your chance to be at the forefront of AI innovation in climate intelligence. If you're looking for a role with real-world impact, progression, and the opportunity to work on cutting-edge technology, this is it.

What experience you’ll need to apply:

1. Experience working as a Senior/ML Engineer or similar
2. Strong Python development skills and expertise in ML/NLP
3. Experience building and maintaining production-grade software
4. Ability to work with product managers

Bonus:

1. Experience with Django, AWS, or cloud infrastructure
2. Familiarity with Jira, Agile methodologies, and CI/CD pipelines
3. Understanding of the venture capital and investment landscape in climate tech
4. A background in financial services, asset management, or research firms
5. A passion for climate tech, market intelligence, and solving complex problems

What you’ll get in return:

Alongside flexible working, hybrid working and an opportunity to work at a well-funded and exciting start-up, you’ll also look at a competitive salary of up to £150,000 per annum. We do require someone local to the office as there is a requirement to be in the London office on a weekly basis – ideally several times per week.

What’s next?

If this sounds like your next challenge, apply with your updated CV, and we’ll review your application as soon as possible. If you have any questions, feel free to reach out to Tegan via email!

#J-18808-Ljbffr