Senior Machine Learning Engineer

JR United Kingdom; Oxford; On-site; GBP 60,000 - 90,000; Full time

Job summary

A cutting-edge defence-tech startup is seeking a Senior Machine Learning Engineer in the Oxford district to enhance their platform with innovative models that analyze human behavior. The ideal candidate will have experience in NLP and be proficient in Python, with a strong emphasis on social good and teamwork.

Qualifications

• 4 years of experience in developing data science models, including NLP models.
• Proficiency in writing clean, robust, and scalable Python packages.
• Team player who is proactive and resilient.

Responsibilities

• Support research team to productize scalable NLP models.
• Deploy data science models on AWS cloud infrastructures.
• Continuously monitor and improve the performance of data science models.

Skills

NLP

Python

AWS

Data Science

Containerisation

SQL

NoSQL

Education

Bachelor's degree in computer science, data science, mathematics, statistics, engineering or related field

Tools

Docker

Terraform

Job description

Social network you want to login/join with:

Senior Machine Learning Engineer, oxford district

col-narrow-left

Client:

Stealth Startup

Location:

oxford district, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

5

Posted:

06.06.2025

Expiry Date:

21.07.2025

col-wide

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.