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Machine Learning Engineer

DXC Technology

Machine Learning Engineer

full-timePosted: Nov 6, 2025

Job Description

Categories: Machine Learning, Software Engineering, Data Engineering, AI

Job Description:

Location: Erskine, Scotland - Hybrid

Security Clearance level: SC

Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over.

DXC Technology (DXC: NYSE) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries.  The company’s technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. For more information, visit www.dxc.com

About the Role

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 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.

  • Demonstrated relevant industry experience, including time spent 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.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

Locations

  • ERSKINE, RFW, United Kingdom

Salary

Estimated Salary Rangemedium confidence

57,750 - 93,500 GBP / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learningadvanced
  • TensorFlowadvanced
  • PyTorchintermediate
  • MLflowintermediate
  • Kubeflowintermediate
  • PySparkintermediate
  • ONNXintermediate

Required Qualifications

  • UK national/sole British citizen (experience)
  • Resided in the UK for 5 years or more (experience)
  • SC Security Clearance (experience)
  • Experience with ML pipelines and model deployment (experience)

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

Benefits

  • Health: Comprehensive health insurance coverage
  • Retirement: Pension scheme with company contributions
  • Training: Professional development and certification support
  • Hybrid: Flexible hybrid work model in Erskine, Scotland
  • General: Opportunity to work with cutting-edge technologies and global teams

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DXC Technology logo

Machine Learning Engineer

DXC Technology

Machine Learning Engineer

full-timePosted: Nov 6, 2025

Job Description

Categories: Machine Learning, Software Engineering, Data Engineering, AI

Job Description:

Location: Erskine, Scotland - Hybrid

Security Clearance level: SC

Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over.

DXC Technology (DXC: NYSE) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries.  The company’s technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. For more information, visit www.dxc.com

About the Role

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 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.

  • Demonstrated relevant industry experience, including time spent 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.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

Locations

  • ERSKINE, RFW, United Kingdom

Salary

Estimated Salary Rangemedium confidence

57,750 - 93,500 GBP / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learningadvanced
  • TensorFlowadvanced
  • PyTorchintermediate
  • MLflowintermediate
  • Kubeflowintermediate
  • PySparkintermediate
  • ONNXintermediate

Required Qualifications

  • UK national/sole British citizen (experience)
  • Resided in the UK for 5 years or more (experience)
  • SC Security Clearance (experience)
  • Experience with ML pipelines and model deployment (experience)

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

Benefits

  • Health: Comprehensive health insurance coverage
  • Retirement: Pension scheme with company contributions
  • Training: Professional development and certification support
  • Hybrid: Flexible hybrid work model in Erskine, Scotland
  • General: Opportunity to work with cutting-edge technologies and global teams

Target Your Resume for "Machine Learning Engineer" , DXC Technology

Get personalized recommendations to optimize your resume specifically for Machine Learning Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Machine Learning Engineer" , DXC Technology

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

DXC_TechnologyMachine LearningSoftware EngineeringData EngineeringAI

Answer 10 quick questions to check your fit for Machine Learning Engineer @ DXC Technology.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.