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# Junior Machine Learning Engineer

- **Company:** Information Tech Consultants
- **Location:** Greater London, UK
- **Experience:** Starter
- **Salary:** £35,000.0 - £45,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Business Software, Databases, Relational Databases, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Data Processing, Scripting, Backend, Information Technology, Machine Learning Operations
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=096c988f178f2c16

## About the Role

Information Tech Consultants Ltd (ITC) is looking for a skilled Junior Machine Learning Engineer to join our growing Data Science team. The ideal candidate will have strong Python development experience and hands-on knowledge of backend application development, APIs, and databases., Education: Master's degree in data science, Statistics, Computer Science, Mathematics, or a related quantitative field (or equivalent bootcamp experience).

Strong mathematics and statistics background.

Ability to commute/relocate:

 * Greater London: reliably commute or plan to relocate before starting work (preferred), * Master's (preferred)

## Description

We are looking for a motivated Junior Machine Learning Engineer to join our AI and Data Science team. The ideal candidate should have a solid foundation in Python, SQL, Artificial Intelligence (AI), and Machine Learning (ML), with a passion for building intelligent solutions. This is an excellent opportunity for early-career professionals to work on real-world machine learning projects while learning from experienced engineers., * Assist in designing, developing, and deploying machine learning models for business applications.

 * Collect, clean, preprocess, and analyze structured and unstructured datasets.
 * Develop and optimize Python scripts for data processing and model development.
 * Write efficient SQL queries to extract, transform, and analyze data from relational databases.
 * Perform exploratory data analysis (EDA) to identify trends and insights.
 * Evaluate and improve machine learning model performance using appropriate metrics.
 * Collaborate with data scientists, software developers, and business stakeholders to implement AI solutions.
 * Document machine learning workflows, experiments, and technical solutions.
 * Stay up to date with emerging AI, ML, and data science technologies and best practices.


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