About usClimate 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 missionTo deepen the understanding of our changing planet and inspire meaningful action. What we do<ul><li>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).</li><li>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.</li><li>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.</li><li>Customers choose us thanks to our ecosystem of products that help solve real human problems and drive tangible business benefits. They love our customer-centric mindset, as well as our pace of innovation in the market.</li></ul>  THE IMPACT YOU’LL OWNAs the Lead Machine Learning Engineer on the Carta team, you will be instrumental in architecting and delivering the evolution of our asset mapping capabilities. Reporting to the VP of Product and Engineering, your primary focus will be on leveraging advanced ML and GenAI techniques to significantly enhance the accuracy, speed, and coverage of our existing pipelines.You will take a hands-on 'player-coach' role, designing and implementing robust ML solutions, whilst also acting as a senior Individual contributor who guides technical direction and supports the team's growth. You will collaborate closely with Product, Engineering, and Science teams to ensure ML initiatives directly address critical business needs and improve our core Carta product offering.  In this role, you will:<ul><li>Own the end-to-end lifecycle of key ML initiatives for Carta, focusing on enhancing asset and company data accuracy, speed, and coverage through advanced NLP and GenAI techniques – from research and development through to production, monitoring, and retraining.</li><li>Lead on technical direction for Carta's ML components, helping the team make the right choices on GenAI model application, prompt engineering, evaluation frameworks, tooling, infrastructure, and processes.</li><li>Shape and refine our approach to NLP and LLM development for information extraction, validation, and enrichment, including the potential fine-tuning of LLMs on domain-specific data to improve Carta's outputs.</li><li>Work closely with Product and Engineering leadership to align Carta ML initiatives with product goals and business outcomes, ensuring your work directly contributes to solving core customer problems.</li><li>Mentor, coach, and support the development of team members working on Carta's ML aspects; this includes providing regular technical and performance feedback, guiding their career development in partnership with the VP, and fostering a high-performing, collaborative culture.</li><li>Ensure our Carta ML pipelines are scalable, reproducible, and well-documented, working with engineering to establish robust MLOps practices for these specific systems.</li><li>Act as the go-to expert for ML problem-solving within the Carta context, helping team members navigate complex challenges in data extraction and validation.</li><li>Foster a culture of experimentation and innovation for Carta's ML, where the team can test new approaches and learn quickly to improve asset mapping capabilities.</li></ul> ESSENTIAL SKILLS<ul><li>Strong experience in senior ML/DS roles, with proven experience leading or mentoring others and setting technical direction for complex production projects.</li><li>Demonstrable track record of designing, building, and deploying production-grade ML systems, particularly those involving NLP, GenAI, and LLM technologies for information extraction, validation, and enrichment in a live pipeline.</li><li>Deep expertise in Python and associated ML/GenAI libraries e.g. OpenAI, scikit-learn, spaCy, Transformers, Hugging Face, LangChain, RAG frameworks.</li><li>Practical experience with ML experimentation, prompt engineering, and evaluation frameworks e.g. MLFlow, RAGAS, DeepEval to rigorously assess and improve model performance in production environments.</li><li>Solid understanding of MLOps principles, tools, and frameworks e.g., MLFlow and extensive experience working with engineering teams to build scalable, reproducible, and monitored ML pipelines.</li></ul>DESIRABLE SKILLS<ul><li>Experience with robust web scraping techniques and tools using Python</li><li>Knowledge of the financial services or real estate domain from a climate risk perspective, allowing for better context and interpretation of results.</li><li>Cloud experience e.g. AWS, GCP, or Azure for deploying and managing ML workflows and data pipelines.</li><li>Experience with processing and analysing geospatial data using Python e.g. geopandas, GDAL or other GIS software.</li><li>Experience with Vector Databases e.g. Qdrant, Pinecone, Weaviate, ChromaDB and their application in similarity search or RAG pipelines.</li><li>Experience with debugging complex distributed systems and identifying root causes of issues in live pipelines.</li><li>Familiarity with code quality and development velocity tools e.g. Cursor, and contributing to their effective adoption.</li><li>Excellent ability to collaborate with cross-functional teams e.g. Engineering, Product, Science and translate complex technical work into tangible business impact and product improvements.</li><li>Proven ability to thrive in a fast-paced startup or scale-up environment, adapting quickly to shifting priorities and delivering results efficiently.</li></ul> BENEFITS🌍 Contribute to a business making purposeful impact related to climate change💡 Monthly training &amp; 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🏡 Hybrid working (3 days/week in office)🏥 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 OPPORTUNITIESClimate 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.

Understand how physical risk related to climate change impacts your organisation by accessing portfolio level risk and asset level insights that easily integrates into your climate risk management and assessment reporting.

Machine Learning Engineering Lead

About usClimate 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&nbsp;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.&nbsp;Our missionTo deepen the understanding of our changing planet and inspire meaningful action.&nbsp;What we do<ul><li>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).</li><li>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.</li><li>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.&nbsp;Combined, they manage over $6.5 trillion of assets.</li><li>Customers choose us thanks to our ecosystem of products that help solve real human problems and drive tangible business benefits. They love our customer-centric mindset, as well as our pace of innovation in the market.</li></ul>&nbsp;&nbsp;THE IMPACT YOU’LL OWNAs the Lead Machine Learning Engineer on the Carta team, you will be instrumental in architecting and delivering the evolution of our asset mapping capabilities. Reporting to the VP of Product and Engineering, your primary focus will be on leveraging advanced ML and GenAI techniques to significantly enhance the accuracy, speed, and coverage of our existing pipelines.You will take a hands-on 'player-coach' role, designing and implementing robust ML solutions, whilst also acting as a senior Individual contributor who guides technical direction and supports the team's growth. You will collaborate closely with Product, Engineering, and Science teams to ensure ML initiatives directly address critical business needs and improve our core Carta product offering.&nbsp;&nbsp;In this role, you will:<ul><li>Own the end-to-end lifecycle of key ML initiatives for Carta, focusing on enhancing asset and company data accuracy, speed, and coverage through advanced NLP and GenAI techniques – from research and development through to production, monitoring, and retraining.</li><li>Lead on technical direction for Carta's ML components, helping the team make the right choices on GenAI model application, prompt engineering, evaluation frameworks, tooling, infrastructure, and processes.</li><li>Shape and refine our approach to NLP and LLM development for information extraction, validation, and enrichment, including the potential fine-tuning of LLMs on domain-specific data to improve Carta's outputs.</li><li>Work closely with Product and Engineering leadership to align Carta ML initiatives with product goals and business outcomes, ensuring your work directly contributes to solving core customer problems.</li><li>Mentor, coach, and support the development of team members&nbsp;working on Carta's ML aspects; this includes providing regular technical and performance feedback, guiding their career development in partnership with the VP, and fostering a high-performing, collaborative culture.</li><li>Ensure our Carta ML pipelines are scalable, reproducible, and well-documented, working with engineering to establish robust MLOps practices for these specific systems.</li><li>Act as the go-to expert for ML problem-solving within the Carta context, helping team members navigate complex challenges in data extraction and validation.</li><li>Foster a culture of experimentation and innovation for Carta's ML, where the team can test new approaches and learn quickly to improve asset mapping capabilities.</li></ul>&nbsp;ESSENTIAL SKILLS<ul><li>Strong experience in senior ML/DS roles, with proven experience leading or mentoring others and setting technical direction for complex production projects.</li><li>Demonstrable track record of designing, building, and deploying production-grade ML systems, particularly those involving NLP, GenAI, and LLM technologies for information extraction, validation, and enrichment in a live pipeline.</li><li>Deep expertise in Python and associated ML/GenAI libraries e.g. OpenAI, scikit-learn, spaCy, Transformers, Hugging Face, LangChain, RAG frameworks.</li><li>Practical experience with ML experimentation, prompt engineering, and evaluation frameworks e.g. MLFlow, RAGAS, DeepEval to rigorously assess and improve model performance in production environments.</li><li>Solid understanding of MLOps principles, tools, and frameworks e.g., MLFlow and extensive experience working with engineering teams to build scalable, reproducible, and monitored ML pipelines.</li></ul>DESIRABLE SKILLS<ul><li>Experience with robust web scraping techniques and tools using Python</li><li>Knowledge of the financial services or real estate domain from a climate risk perspective, allowing for better context and interpretation of results.</li><li>Cloud experience e.g. AWS, GCP, or Azure for deploying and managing ML workflows and data pipelines.</li><li>Experience with processing and analysing geospatial data using Python e.g. geopandas, GDAL or other GIS software.</li><li>Experience with Vector Databases e.g. Qdrant, Pinecone, Weaviate, ChromaDB and their application in similarity search or RAG pipelines.</li><li>Experience with debugging complex distributed systems and identifying root causes of issues in live pipelines.</li><li>Familiarity with code quality and development velocity tools e.g. Cursor, and contributing to their effective adoption.</li><li>Excellent ability to collaborate with cross-functional teams e.g. Engineering, Product, Science and translate complex technical work into tangible business impact and product improvements.</li><li>Proven ability to thrive in a fast-paced startup or scale-up environment, adapting quickly to shifting priorities and delivering results efficiently.</li></ul>&nbsp;BENEFITS🌍 Contribute to a business making purposeful impact related to climate change💡 Monthly training &amp; 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🏡 Hybrid working (3 days/week in office)🏥 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)&nbsp;EQUAL OPPORTUNITIESClimate 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.

Machine Learning Engineering Lead

About the Job

About the Company

Climate X

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