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# Machine Learning Engineer

- **Company:** gb
Hackajob Ltd
- **Location:** London, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Structures, Python (Programming Language), Machine Learning, Natural Language Processing, Standard Sql, Software Engineering, Deep Learning, Model Validation, Jupyter, Git, Pandas, Scikit Learn, Performance Monitor, Machine Learning Operations, Data Pipelines
- **Published:** August 24, 2026
- **Apply:** https://www.totaljobs.com/job/machine-learning-engineer/hackajob-ltd-job107890300

## About the Role

* Good understanding of computer science fundamentals, including data structures, algorithms and software design
 * Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning
 * Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter
 * Experience working with SQL and data pipelines to prepare and transform data for model training
 * Understanding of model evaluation, monitoring and improving performance in a production environment
 * Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation
 * Comfortable working with statistical concepts to interpret data and assess model performance
 * Ability to work collaboratively, communicate clearly and deliver work to agreed outcome

## Description

You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation., * Develop machine learning models and support their deployment into production

 * Write production quality code that is robust, efficient and maintainable
 * Contribute to the implementation and improvement of pipelines, tooling and automation
 * Apply good engineering standards and practices in model development
 * Monitor performance and contribute to ongoing optimisation of models
 * Work with colleagues to understand requirements and priorities
 * Share knowledge, contribute ideas and support a collaborative team culture


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