DW Search

Senior Data Engineer/ Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer/Machine Learning Engineer on a 6-month contract (outside IR35) based in London (hybrid). Pay rate is negotiable at £600-£700. Key skills include Databricks, GCP, MLOps, and production-grade ML pipelines.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
696
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🗓️ - Date
April 14, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #Data Engineering #Databricks #GCP (Google Cloud Platform) #Neural Networks #Data Science #Scala
Role description
Contract Data Engineer / MLE (Databricks, GCP) Location: London (hybrid) Contract: Outside IR35 Day Rate: Negotiable ~ £600-£700 DW Search are partnering on a high-impact contract opportunity within a fast-paced, data-driven environment supporting portfolio company initiatives for a major asset management firm. This role sits at the intersection of Data Engineering and Machine Learning Engineering, with a strong focus on building and productionising end-to-end ML pipelines. You will be working on real-world applications of neural networks, enabling scalable feature engineering, model training, and inference in production. Key Responsibilities • Build and productionise feature engineering pipelines for ML models • Develop and manage training and inference workflows at scale • Deploy and monitor machine learning models in production environments • Collaborate with data scientists and engineering teams to optimise model performance and reliability • Contribute to best practices across MLOps and pipeline orchestration Required Experience • Strong hands-on experience with Databricks • Proven experience building production-grade data and ML pipelines • Solid understanding of MLOps principles • Experience working with machine learning models, ideally including neural networks Desirable • Experience with GCP • Background in both Data Engineering and Machine Learning Engineering environments • Exposure to scalable, high-performance data platforms This is a strong fit for engineers who operate across the full ML lifecycle and enjoy taking models from development into robust, production systems. This is an initial 6 month contract with high likelihood of extension, apply now to be considered.