Machine Learning Engineer

hackajob Erskine, Scotland, United Kingdom

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Location: Erskine, Scotland - Hybrid
Security Clearance level: SC
Candidates must be UK national or sole British citizens and have resided in the UK for 5 years or more.

We’re seeking a passionate and skilled Machine Learning Engineer to join our growing team. You’ll play a key role in designing, developing, and deploying scalable machine learning solutions across a variety of domains. This is a fantastic opportunity to work with cutting‑edge technologies and contribute to impactful projects in a collaborative, innovation‑driven environment.

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• Design and implement robust machine learning models using modern frameworks and libraries.
  
• Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions.
  
• Optimize and deploy models using tools such as TensorFlow Serving, TorchServe, ONNX, and TensorRT.
  
• Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines.
  
• Work with large‑scale data using PySpark and integrate models into production environments.
  
• Monitor model performance and retrain as needed to ensure accuracy and efficiency.
  
• Collaborate with cross‑functional teams to integrate AI solutions into scalable products.
  
• Ensure best practices in data engineering and contribute to architectural decisions.
  
• Mentor and develop junior team members.
  
• Support senior team members in identifying and addressing data science opportunities.
  

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• Strong proficiency in Python and libraries such as pandas, NumPy, scikit‑learn, XGBoost, LightGBM, CatBoost.
  
• Experience with TensorFlow, Keras, and PyTorch.
  
• Familiarity with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe.
  
• Knowledge of ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines.
  
• Experience working with distributed data processing using PySpark.
  
• Solid understanding of software engineering principles and version control (e.g., Git).
  
• Excellent problem‑solving skills and ability to work independently or in a team.
  
• Demonstrated relevant industry experience in a similar role.
  
• Proficiencies in data cleansing, exploratory data analysis, and data visualization.
  
• Continuous learner who stays abreast of industry knowledge and technology.
  

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• Work on impactful AI projects with real‑world applications.
  
• Be part of a collaborative and forward‑thinking team.
  
• Access to continuous learning and development opportunities.
  
• Flexible working arrangements and a supportive work culture.
  

Ready to shape the future of AI? Apply now and bring your expertise to a team that values innovation, creativity, and excellence.

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Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology