ML Engineer

Job Description ML Engineer – Erskine, Scotland or Newcastle, UK

Location: Erskine, Scotland or Newcastle, UK

Type: Full-Time

Remote Work: Hybrid options available

Salary: Competitive + Benefits

About The Role: We’re seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area. You’ll play a key role in designing, developing, and deploying scalable ML 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.

• 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 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 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.
• Contribute to the mentoring and development of junior team members.
• Support senior team members in identifying and addressing data science opportunities.

• Strong proficiency in Python and machine‑learning libraries, including pandas, Num Py, scikit‑learn, XGBoost, Light
  
  GBM, Cat Boost, Tensor Flow, Keras, and PyTorch.
• Experience with model deployment and serving tools such as ONNX, Tensor
  
  RT, Tensor Flow Serving, and Torch Serve.
• Familiarity with ML lifecycle tools, including MLflow, Kubeflow, and 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.
• Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role.
• Proficiencies in data cleansing, exploratory data analysis, and data visualization.
• Continuous learner that stays abreast of industry knowledge and technology.

• 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 prioritises 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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