

Lead Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Machine Learning Engineer on a 6-12 month contract, remote in the UK or Europe, with a pay rate of £500 - £650 per day. Requires 5+ years ML experience, strong Python skills, and expertise in recommender systems or NLP.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
640
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🗓️ - Date discovered
August 3, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#A/B Testing #Storage #TensorFlow #PyTorch #GCP (Google Cloud Platform) #Recommender Systems #AI (Artificial Intelligence) #Data Pipeline #Spark (Apache Spark) #Python #NLP (Natural Language Processing) #Data Storage #Pandas #NoSQL #SQL (Structured Query Language) #Deployment #ML (Machine Learning) #Cloud #Batch
Role description
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• Remote, based in the UK or Europe
• inside IR35
• Duration – 6-12 months
• Rates - £500 - £650pday based on experience.
A Great client of mine in the Cloud Engineering space, is looking for Senior & Lead ML Engineers, to join them on an initial 6-12 month contract.
Role - Machine Learning Engineer
• Lead the design and prototyping of ML models for things like recommendations, personalization, and predictions.
• Dig into data, pick the right features, and help teams make smarter product decisions.
• Own the full ML pipeline from breaking down tasks to testing models and making sure they hold up in production.
• Set up solid systems to monitor, tune, and optimize models after they’re live.
• Build and maintain data pipelines for training and evaluation.
• Design A/B tests to measure model impact on key metrics.
• Work closely with product and engineering to define problems and deliver practical AI-powered solutions.
• Share your knowledge, mentor others, and stay up to speed on ML trends.
Skills - Machine Learning Engineer
You’ve probably done this kind of work before and know how to make it count in production.
• 5+ years ML experience
• Strong understanding of algorithms
• Track record in recommender systems, NLP, or search
• Great Python skills
• Comfortable with tools like Pandas, Scikit-learn, TensorFlow, PyTorch
• Experience with data storage (SQL, NoSQL, etc.)
• Familiar with large-scale processing (Spark, Beam, Flink)
• Know when to batch vs stream
• Cloud experience (GCP or similar)
• Hands-on with ML deployment at scale
• Clear communicator & team player
If you are looking for a new contract, please send me your updated CV, with your day rate and availability to start.