Machine Learning Engineer

Job Description:

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.

What You’ll Do:

• 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 Tensor Flow Serving, Torch Serve, ONNX, and Tensor
  
  RT.
• 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.

What We’re Looking For:

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

• Strong Python skills and experience with ML libraries (pandas, Num Py, scikit-learn, XGBoost, Light
  
  GBM, Cat Boost, Tensor Flow, Keras, PyTorch).
• Familiarity with model deployment and serving tools (ONNX, Tensor
  
  RT, Tensor Flow Serving, Torch Serve).
• 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.

Why Join Us?

• 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.

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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