Sparta Global
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Machine Learning Engineer position on a 12-month fixed-term contract, requiring 2 days per week on-site in Central London. Key skills include deep learning, distributed computing, and MLOps experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 9, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Deployment #Data Pipeline #Data Science #ML (Machine Learning) #Batch #Distributed Computing #Observability #Deep Learning #AI (Artificial Intelligence)
Role description
This is a 12-Month Fixed Term Contract, requiring 2 days per week on-site in Central London, with a permanent offer made at the end of the period.
Sparta Global is offering an exciting opportunity to join a market-leading digital organisation and work within a cutting-edge Machine Learning team focused on delivering large-scale AI and data-driven solutions.
Summary:
We are seeking a Machine Learning Engineer to join a cross-functional engineering team delivering enterprise-scale AI solutions. In this role, you will work closely with Data Scientists and Engineers to productionise high-scale machine learning systems, developing and deploying advanced algorithms across a variety of data-rich challenges. The position will involve building impactful ML capabilities that support intelligent recommendation engines, trend and behavioural analysis, optimisation initiatives, and large-scale personalisation strategies within a fast-paced environment.
Responsibilities:
• Work alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
• Deploying batch and online machine learning models at high scale.
• Contributing to continually developing and improving code and technology, taking an active role in the conception of brand-new features.
• Contribute to the team's technical direction, helping establish ML standards, and drive quality across the ML team.
Required Experience:
• Experience applying machine learning in production settings, with exposure to deep learning techniques and their practical use.
• Experience working with deep learning and distributed computing frameworks to support largescale models.
• Familiarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest in developing this expertise.
• A solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps tooling.
This is a 12-Month Fixed Term Contract, requiring 2 days per week on-site in Central London, with a permanent offer made at the end of the period.
Sparta Global is offering an exciting opportunity to join a market-leading digital organisation and work within a cutting-edge Machine Learning team focused on delivering large-scale AI and data-driven solutions.
Summary:
We are seeking a Machine Learning Engineer to join a cross-functional engineering team delivering enterprise-scale AI solutions. In this role, you will work closely with Data Scientists and Engineers to productionise high-scale machine learning systems, developing and deploying advanced algorithms across a variety of data-rich challenges. The position will involve building impactful ML capabilities that support intelligent recommendation engines, trend and behavioural analysis, optimisation initiatives, and large-scale personalisation strategies within a fast-paced environment.
Responsibilities:
• Work alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
• Deploying batch and online machine learning models at high scale.
• Contributing to continually developing and improving code and technology, taking an active role in the conception of brand-new features.
• Contribute to the team's technical direction, helping establish ML standards, and drive quality across the ML team.
Required Experience:
• Experience applying machine learning in production settings, with exposure to deep learning techniques and their practical use.
• Experience working with deep learning and distributed computing frameworks to support largescale models.
• Familiarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest in developing this expertise.
• A solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps tooling.
