Machine Learning Engineer

Location: Erskine, Newcastle, Farnborough or London (Hybrid – 2/3 days per week in the office)

Candidates must be eligible for clearance

We’re looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment.

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• Design, develop, and deploy machine learning models using modern frameworks and libraries.
  
• Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions.
  
• Optimize and deploy models with tools like 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 ML solutions into production environments.
  
• Monitor and improve model performance to ensure accuracy and efficiency.
  
• Contribute to team knowledge by mentoring and supporting colleagues.
  
• Bring creativity and fresh perspectives to problem-solving and technical solutions.
  

We welcome applications from women who are passionate about machine learning and eager to grow:

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• Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch).
  
• Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe).
  
• Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines).
  
• Knowledge of distributed data processing (PySpark) and software engineering principles (Git).
  
• A collaborative mindset and excellent problem-solving abilities.
  
• Experience in data cleansing, exploratory data analysis, and visualisation.
  
• A continuous learning mindset and interest in emerging AI/ML technologies.
  

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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.
  

Apply now and bring your expertise to a team that values innovation, creativity, and excellence.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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