Categories: Machine Learning, Data Engineering, Software Engineering

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.

Key Responsibilities

• 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 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 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.

Required Skills & Experience

• Strong proficiency in Python and ML libraries such as:
• pandas, NumPy, scikit-learn
• XGBoost, LightGBM, CatBoost
• TensorFlow, Keras, PyTorch
• Experience with model deployment and serving tools:
• ONNX, TensorRT, TensorFlow Serving, TorchServe
• Familiarity with 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.
• Strong proficiency in Python and ML libraries such as:
• pandas, NumPy, scikit-learn
• XGBoost, LightGBM, CatBoost
• TensorFlow, Keras, PyTorch
• Experience with model deployment and serving tools:
• ONNX, TensorRT, TensorFlow Serving, TorchServe
• Familiarity with 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.
• 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 with industry knowledge and technology

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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