Senior Machine Learning Engineer

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Introduction

Condukt, a business identity platform based in London, England, is seeking a Senior Machine Learning Engineer specializing in Natural Language Processing (NLP). This role concludes as a pivotal opportunity for someone passionate about shaping AI technologies within an ambitious startup environment.

Company Overview

Condukt operates by facilitating the onboarding process of businesses of various sizes through innovative solutions that instill trust among financial service providers. The platform provides essential tools for verifying, onboarding, and monitoring businesses in a seamless manner, garnering significant appeal in its niche.

Position Overview

The role of Senior Machine Learning Engineer entails shaping the design and architecture of core AI technologies that drive the product. As an early team member at a startup, you will work collaboratively with the founding team to develop methods that add substantial value for clients.

Key Responsibilities

In this role, you will be responsible for:

• Developing ML functionality central to the platform.
• Training and assessing models for intelligent document processing, web data parsing, and classification.
• Implementing production-quality code that integrates these models into the platform.
• Influencing the data science culture within the organization.
• Continuously improving data science processes to meet industry standards.

Required Skills

Candidates should possess the following qualifications and skills:

• Effective and self-sufficient builder mindset.
• A Bachelor's or Master's degree in Computer Science or related fields.
• At least 5 years of experience in machine learning or data science.
• A minimum of 3 years of experience focusing on Natural Language Processing including Large Language Models (LLMs), classical NLP methods, and named entity recognition (NER).
• Familiarity with key NLP tasks such as intelligent document processing, website classification, sentiment analysis, and entity linking.
• Strong theoretical knowledge of Mathematical Statistics, Algorithms, and Machine Learning Theory.
• Proficiency in Python and SQL.
• Experience training and fine-tuning Transformers or LLMs from platforms like Huggingface and OpenAI.
• Proven capabilities in deploying Neural Networks in production using tools such as PyTorch, ONNX, and TorchServe.
• Exposure to analytics, data visualization, and BI tools like Superset or Metabase.
• Familiarity with workflow orchestration tools such as Airflow.
• Experience in writing data processing pipelines and ETL using Python and Apache Spark.
• Excellent communication skills facilitating teamwork and collaboration.
• Background in web scraping.

Work Environment and Benefits

This position offers a competitive salary package, which includes equity participation, providing an attractive incentive to help grow Condukt. The work environment is characterized by a flexible working policy that allows for a hybrid arrangement, accommodating both in-office and remote configurations. Employees are entitled to 25 vacation days, sick days, and compassionate leave as necessary, promoting a healthy work-life balance.

Conclusion

This role is particularly suitable for passionate engineers looking to build impactful products that simplify complex problems. The ideal candidate is ready to move fast, embrace uncertainty, and be adaptable. If you are excited about being one of the first engineering hires in an innovative startup, embracing the challenges of creating reliable AI technologies, you may find this opportunity with Condukt fulfilling.

This job offer was originally published on jooble.com