Machine Learning Engineer

Climate X is seeking a Machine Learning Engineer to join their diverse team, focusing on developing and enhancing ML codebases, particularly for NLP products. The role involves research on new algorithms, running statistical analyses, and creating visualisations. Candidates should have experience with end-to-end ML models, Python libraries, cloud platforms, and strong communication skills. This position is remote, allowing work from anywhere.
Machine Learning Engineer

About Us

Climate X is a purpose-driven technology company, backed by GV (Google Ventures), Western Technologies (early investors in Meta, Google, Palantir), Commerz Ventures, Pale Blue Dot, Deloitte, and other world-class investors. We’re a wonderfully diverse, growing team with physical offices in London and New York City.

Demand for Climate X is growing fast, and we need to build our team! You’ll be at the front of a nascent industry, working as part of a fantastic and diverse team, doing things that you can be proud of. We’re excited to have the opportunity to speak with you during this process.

Our mission

To deepen the understanding of our changing planet and inspire meaningful action.

What we do
• We’re helping the world become more resilient to the impacts of physical climate risks (including floods, fires, storms and more). In doing so, we help drive positive global impact aligned to many of the UN’s Sustainable Development Goals (SDG’s).
• Our team builds cutting-edge, peer-reviewed science (incorporating climate projections, remote sensing data) and translates that into financial impacts (to the value of assets or business disruption linked to failure of critical infrastructure) that our customers in the financial services industry use to identify, manage and mitigate those risks.
• Climate X’s customers include the world’s largest banks, asset managers and insurance companies including CBRE, Standard Chartered, Virgin Money and Federated Hermes, as well as a partnership ecosystem that includes Deloitte, Capgemini and AWS. Combined, they manage over $6.5 trillion of assets.
• Customer’s choose us thanks to our ecosystem of products that help solve real human problems, and drive tangible business benefits to our customers. They love our customer-centric mindset, as well as our pace of innovation in the market.

The impact you’ll own

As Machine Learning Engineer, you will join an interdisciplinary team of other Data Scientists, Climate Scientists and Geospatial experts, collaborating closely with our Engineering and Product teams to deliver impactful products to our clients.

In this role you will:
• Develop and enhance existing ML codebases, especially around our NLP product.
• Conduct research into new techniques and algorithms to optimise performance and accuracy.
• Fine-tune domain-specific LLM models to meet business requirements.
• Run statistical analyses to assess model performance and extract meaningful insights.
• Build visualisations to communicate findings and facilitate wider understanding across the business and to our clients.

Essential Skills
• Proven experience building and deploying end-to-end ML models (from data preparation to monitoring in production).
• Strong grasp of ML techniques (regression, classification, clustering), and strong experience with Python ML libraries (sklearn, spaCy, NumPy, SciPy etc.).
• Experience using Git for version control and familiarity with CI/CD pipelines.
• Comfortable with data visualisation tools (Matplotlib, Seaborn etc.).
• Experience using cloud platforms (AWS, GCP, Azure) for ML pipelines.
• Strong communication skills — able to explain technical details to non-technical stakeholders.
• A collaborative mindset and eagerness to learn from others in a multi-disciplinary team.

Desirable Skills
• Experience with web scraping using Python (such as BeautifulSoup, Scrapy, Selenium, Requests or others) is a plus.
• Exposure to MLOps frameworks (such as MLFlow, Weights and Biases).
• Knowledge of the financial services or real estate domain from a climate risk perspective, to inform a basic understanding of where data science is being applied, allowing for better context and interpretation of results.
• Experience with processing and analysing geospatial data using Python (geopandas, GDAL, etc.) and/or other GIS software (such as QGIS) is a plus.

Benefits

🌍 Contribute to a business making purposeful impact related to climate change

💡 Monthly training & conference budget to help you upskill and develop your career (£1,000 per year)

📈 6 monthly appraisals and 12 monthly pay reviews

💰 Pension contribution scheme

🏡 Flexible hours and hybrid working (3 days/week in office; core hours 10am-4pm)

🏥 Mental Health and Wellbeing support via Oliva

🏖 25 days holiday, plus Bank Holidays, annual 3-day Christmas-closure, and half day on your birthday (36.5 days total!)

🏏 Optional quarterly socials, dinners, and fun nights out

🥐 A fully stocked supply of snacks, fruit, and refreshments for the days when you are in the office

🚴 Cycle to work scheme via gogeta

🍼 Enhanced maternity and paternity

🐶 Pawternity

🐕 Dog friendly office (official residence of Alfie, Chief Mischief Officer)

Equal Opportunities

Climate X are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees and welcome applications from individuals of all backgrounds.