

Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with expertise in Spark ML, focusing on predictive modeling and deploying pipelines on distributed systems like Hadoop. Key skills include proficiency in Python, Scala, or Java, and experience with large-scale data processing. Contract length and pay rate are competitive, with a hybrid work location.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
July 25, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
London Area, United Kingdom
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π§ - Skills detailed
#Data Engineering #Storage #Data Pipeline #Predictive Modeling #Java #Spark (Apache Spark) #Regression #Data Processing #Scala #Apache Spark #Hadoop #Clustering #Data Storage #"ETL (Extract #Transform #Load)" #Batch #Model Evaluation #Distributed Computing #ML (Machine Learning) #Classification #Python #Datasets
Role description
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Synechron is looking for a skilled Machine Learning Developer with expertise in Spark ML to work with a leading financial organisation on a global programme of work. The role involves predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimise machine learning solutions for large-scale data processing and predictive analytics.
Role:
β’ Develop and implement machine learning models using Spark ML for predictive analytics
β’ Design and optimise training and inference pipelines for distributed systems (e.g., Hadoop)
β’ Process and analyse large-scale datasets to extract meaningful insights and features
β’ Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines
β’ Evaluate model performance and fine-tune hyperparameters to improve accuracy and efficiency
β’ Implement scalable solutions for real-time and batch inference
β’ Monitor and troubleshoot deployed models to ensure reliability and performance
β’ Stay updated with advancements in machine learning frameworks and distributed computing technologies
Experience:
β’ Proficiency in Apache Spark and Spark MLlib for machine learning tasks
β’ Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering)
β’ Experience with distributed systems like Hadoop for data storage and processing
β’ Proficiency in Python, Scala, or Java for ML development
β’ Familiarity with data preprocessing techniques and feature engineering
β’ Knowledge of model evaluation metrics and techniques
β’ Experience with deploying ML models in production environments
Permanent or Contract position - Swift onboarding - Strong market rates - Excellent benefits - Hybrid working (x3 days in office)
Diversity Statement
Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative βSame Differenceβ is committed to fostering an inclusive culture β promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicantβs gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.