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Signify Technology

Machine learning Scientist

On site

London, United kingdom

Full Time

26-12-2025

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Skills

Python Problem-solving Decision-making Research Machine Learning PyTorch Scikit-Learn TensorFlow Deep Learning Programming Azure AWS Analytics GCP Keras

Job Specifications

Overview

We are looking for a Machine Learning Scientist to join our client’s team and drive advanced analytics initiatives. The role focuses on researching, designing, and implementing cutting-edge machine learning models to solve complex business problems and improve decision-making processes.

Key Responsibilities

Research, develop, and implement innovative machine learning algorithms and models
Experiment with and optimize models for accuracy, efficiency, and scalability
Collaborate with data engineers and product teams to deploy ML solutions into production
Analyze large, complex datasets to uncover patterns and insights
Stay up to date with the latest advancements in machine learning and AI technologies
Communicate findings and technical insights to both technical and non-technical stakeholders

Key Skills And Experience

Strong expertise in machine learning, deep learning, and statistical modeling
Proficiency in Python, R, or similar programming languages
Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Keras
Solid understanding of data preprocessing, feature engineering, model evaluation, and optimization
Familiarity with cloud computing platforms (AWS, GCP, Azure) and deployment of ML models
Strong problem-solving skills and the ability to translate complex problems into actionable solution

About the Company

We aim to build exceptional teams in the tech space, focusing on two core engineering specialisms: Advanced Software Engineering and AI, ML, & Data Engineering. As a multi-award-winning global staffing specialist, we're passionate about connecting talented individuals with some of the world's top companies. Starting out as the leading niche recruitment experts in Scala eight years ago, we've expanded our expertise to support clients and candidates in building exceptional tech teams across a wider range of specializations. ... Know more