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Senior Machine Learning Engineer

Understanding Recruitment

London

Hybrid

GBP 60,000 - 100,000

Full time

24 days ago

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Job summary

An innovative start-up is seeking a Senior Software Engineer specializing in machine learning to drive impactful climate tech investments. This role focuses on leveraging AI and natural language processing to enhance data-driven decision-making for investors and corporations. You will be at the forefront of developing and maintaining MLOps infrastructure, ensuring seamless integration and performance of machine learning models. If you are passionate about sustainability and eager to work with cutting-edge technology, this opportunity offers a chance to make a real-world difference while advancing your career in a dynamic environment.

Qualifications

  • Experience with LLMs and generative AI is essential.
  • Strong background in scaling ML models in production.

Responsibilities

  • Leverage AI and machine learning to transform data effectively.
  • Support MLOps infrastructure for performance evaluation and integration.

Skills

Machine Learning
Natural Language Processing
AI
Deep Learning
Data Analysis

Tools

Python
PyTorch
Cloud Infrastructure
MLOps

Job description

Job Description

How can GenAI empower data-driven climate tech investments?

London (2/3 days in office) | Climate Tech investments | GenAI

We are searching for a Senior Software Engineer (ML) role to join a high-impact start-up that is building AI-driven solutions to provide actionable intelligence, used by investors, corporations, and governments to make data-driven investment decisions and capitalize on new opportunities within climate tech!

The role:

  • Leverage AI, natural language processing, and machine learning models to extract, classify, and transform data effectively.
  • Support the development and maintenance of the team's MLOps infrastructure, focusing on inference, performance evaluation, continuous improvement, and seamless integration with third-party APIs and services.
  • Monitor and analyze the performance of machine learning models and data pipelines to identify opportunities for improved accuracy and coverage.

They're looking for someone with:

  • LLMs, generative AI, or deep learning
  • Python, PyTorch, and cloud infrastructure
  • A background in data-intensive AI systems and scaling ML models in production

This is a high-impact role where you’d get to work on cutting-edge AI while making a real-world difference in sustainability.

Interested? Apply now!

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