About Clarity AI 🪴

Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets.

We leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions.

We are now a team of more than 300 highly passionate and curious individuals from all over the world, with offices in New York, Madrid, London, Paris, and Abu Dhabi. Together, we have established Clarity AI as a leading sustainability tech AI company backed by investors and strategic partners such as BlackRock, SoftBank, and Deutsche Börse , who believe in us and share our goals.

We are dedicated to cultivating an exceptional workplace environment, and we take pride in our culture, defined by our commitment to being fact-based, diverse, transparent, meritocratic, and flexible.

We have plans to continue growing our teams globally, so if you would like to join us on this rocket ship, keep reading! Your work will shape and guide the sustainable decisions of investors, companies and consumers worldwide.

About The Role 💻

We are looking for a Senior Machine Learning Engineer to build and operate production Machine Learning (ML), Large Language Models (LLMs), and agent systems that deliver transparent, accurate sustainability data to our customers. You will own the model lifecycle—data pipelines and features, model training and evaluation, deployment, and monitoring—while driving MLOps best practices. You’ll work closely within the Data Science and with the Engineering team to turn prototypes into scalable, reliable products.

In this role, you will design and run data pipelines and feature stores; train, evaluate, deploy, and monitor models at scale; and establish a strong MLOps foundation with CI/CD, containers, orchestration, experiment tracking, and a model registry. You will ship model capabilities with rigorous evaluation and guardrails, ensuring robust observability and quality. You’ll collaborate across teams to translate business needs into scalable solutions, optimize cost and performance, raise engineering standards, mentor others, influence platform roadmaps, and explore emerging technologies.

What You’ll Be Doing 🚀

Working as a Senior Machine Learning Engineer , you will be responsible for:

• Designing, implementing, and scaling data pipelines and feature stores to power ML and LLM use cases.
• Building, training, and rigorously evaluating models using offline tests and online experiments.
• Deploying models and services with CI/CD, containers, and orchestration frameworks.
• Operating and monitoring production ML/LLM systems with strong observability and alerting.
• Ensuring transparency, accuracy, and auditability of sustainability data through validation and lineage.
• Mentor teammates and implement best practices to accelerate the ML lifecycle.
• Stay current with ML/LLM/agents research and translate it into pragmatic production solutions.

Location 🌍

The role is based in Madrid, Spain

Way of Working: Remote

What You’ll Need 👀

Nice To Have ✨

• 5+ years of industry experience building and operating ML systems in production.
• Experience in a start-up
• MSc/PhD degree in CS/EE/STEM or related field
• Advanced LLM patterns: function/tool calling, multi-agent workflows, structured output, constrained decoding, evaluation harnesses, hallucination mitigation.
• Experience with fintech/data products or sustainability/ESG domains.

What We Offer 🥁

• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success
• Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces

More About Clarity AI ⭐

Clarity AI’s Founder and CEO, Rebeca Minguela , is a successful entrepreneur who has been recognised by prestigious institutions like the World Economic Forum as one of the most distinguished leaders under 40.

The leadership team has an international presence and is composed of professionals from leading tech, consulting, and banking firms, entrepreneurs, PhDs from top research institutions, and MBA graduates from top business schools.

Clarity AI has received several awards:

Clarity AI believes diversity, inclusion, and belonging are essential for creating an innovative and successful workplace. By actively promoting and engaging in sustainability efforts, we can help create a more equitable and resilient future for our planet and all its inhabitants.