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Job Post Details

Machine Learning Engineer
Erskine
Full-time

Job details

Pay information not provided
Full-time
Erskine

Full job description

Job Description:

DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone.

ML Engineer

Location – Erskine, Newcastle, Farnborough or London (London primarily)

Candidates are required to be eligible for clearance

Are you a curious, innovative engineer who’s passionate about turning data into meaningful impact? We’re looking for a Machine Learning Engineer to join our growing team—someone who enjoys solving real-world problems, collaborating with supportive colleagues, and building technology that truly makes a difference. Whether you're early in your ML career or bringing years of experience, this is a place where your ideas will be heard, your voice matters, and your growth is encouraged.

Key Responsibilities

  • Design and build robust machine learning models using leading frameworks.
  • Work closely with data scientists, engineers, and business partners to translate real challenges into smart technical solutions.
  • Deploy and optimize ML models using tools such as TensorFlow Serving, TorchServe, ONNX, and TensorRT.
  • Develop ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines.
  • Work with large-scale datasets using PySpark and bring models into production environments.
  • Monitor model accuracy and performance, ensuring continuous improvement.
  • Collaborate across teams to integrate AI features into scalable products.
  • Contribute to architectural discussions and best practices in data engineering.
  • Mentor junior colleagues and support a culture of knowledge‑sharing.
  • Partner with senior team members to identify new opportunities for data‑driven innovation.

Key Skills & Experience

  • Strong Python skills and familiarity with key ML libraries such as pandas, NumPy, XGBoost, LightGBM, CatBoost, TensorFlow and Keras, PyTorch.
  • Hands-on experience with model deployment tools.
  • Experience with ML lifecycle and pipeline tools such as MLflow, Kubeflow, and Azure ML Pipelines.
  • Experience using PySpark for distributed data processing.
  • Solid grounding in software engineering practices and version control (Git).
  • Strong analytical and problem‑solving abilities.
  • Ability to work well both independently and within a collaborative, cross-functional team.
  • Experience within a similar role in industry.
  • Skills in data cleansing, exploratory analysis, and data visualization.
  • A continuous learning mindset and enthusiasm for staying current with new technologies.

Why Join Us

  • Be part of a cutting-edge AI community driving digital transformation across the UK&I.
  • Work at the intersection of business innovation and emerging AI technologies.
  • Opportunity to shape the future of AI adoption within some of the UK’s most impactful industries.
  • Collaborative, forward-thinking environment with continuous learning and development opportunities.

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.

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