Senior Machine Learning Engineer

JR United Kingdom; Leeds; Remote; GBP 50,000 - 75,000; Full time

Job summary

A defence-tech startup is seeking a Senior Machine Learning Engineer in Leeds, England, to develop innovative models that analyze social data. The role involves working with cutting-edge NLP technologies, deploying models on AWS, and collaborating with interdisciplinary teams. If you have a passion for AI and social good, this position offers impactful work with remote flexibility.

Qualifications

• 4 years of experience in developing data science models, including NLP models.
• Proficiency in writing clean, robust, and scalable Python packages.
• Experience with software development best practices and CI/CD.

Responsibilities

• Support research team to productionize scalable NLP models.
• Deploy data science models on AWS cloud infrastructures.
• Work closely with cross-functional teams to deliver solutions.

Skills

NLP

Machine Learning

Python

Cloud Computing

Data Science

Education

Bachelors degree in computer science, data science, mathematics, statistics, engineering or related field

Tools

AWS

Docker

SQL

NoSQL

Terraform

Job description

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Senior Machine Learning Engineer, leeds, west yorkshire

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Client:

Stealth Startup

Location:

leeds, west yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

We are a defence-tech startup from London that specializes in technologies that can analyze social data with the power of AI and psychology to generate insights and intelligence that were not possible before.

The company was founded on the premise that data can be used for social good and with our technology, we are building the capability to predict potential threats to companies or analyze public perception on various policies or initiatives and much more.

We are currently focussing on a variety of key projects within Defence as we see tremendous possibility to impact operational planning within the sector. As a company handling heavy and critical data, we believe this is a perfect time for a Machine Learning Engineer to join our team.

Who are we looking for?

We are looking for a Machine Learning Engineer to enhance our platform by designing and developing cutting-edge models to understand human behaviour.

Key Responsibilities

• Support research team to produtionize scalable NLP models using state-of-the-art techniques and frameworks
• Stay up-to-date with the latest advancements in NLP and machine learning, and apply new methodologies to improve existing models
• Deploy data science models on scalable AWS cloud infrastructures, ensuring best practices for security and performance
• Assist in Infrastructure as Code initiatives using Terraform
• Write clean, maintainable Python code for data science software, ensuring high standards of code quality and maintainability
• Continuously monitor and improve the performance of data science models in production
• Work closely with cross-functional teams including behavioral scientists, data scientists, software engineers, and product managers to deliver end-to-end solutions
• 4 years of experience in developing data science models, including NLP models, and deploying them in a production environment
• Bachelors degree in computer science, data science, mathematics, statistics, engineering or related field
• Proficiency in writing clean, robust, and scalable Python packages for backend functionality
• Experience with Python data science and NLP libraries
• Expertise in software development practices such as version control, code review, software design patterns, and CI/CD practices and tools
• Experience of cloud computing platforms such as AWS, with knowledge of services like ECS, S3, and Lambda
• Experience with containerisation technologies e.g. Docker
• Experience of working with SQL or NoSQL databases
• Team player who is proactive and resilient
• A passion for social good

If you're looking for a venture with high impact and rapid growth with remote flexibility, please apply.