Senior Data Engineer/ Machine Learning Engineer

DW Search
London, GB
Hybrid

Job 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.

Skills & Requirements

Technical Skills

DatabricksGcpFeature engineering pipelinesMl pipelinesNeural networksScalable feature engineeringModel trainingInferenceProduction environmentsData and ml pipelinesMlops principlesMachine learning modelsNeural networksScalable, high-performance data platformsMlopsPipeline orchestrationCollaborationTeamworkProblem-solvingCommunicationProject managementBest practicesData engineeringMachine learningNeural networksAsset managementPortfolio company initiatives

Salary

£420,000 - £476,000

year

Employment Type

CONTRACT

Level

senior

Posted

4/14/2026

Apply Now

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