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Data / Machine Learning Operations Engineer

DXC Technology

Greater London

Hybrid

GBP 55,000 - 75,000

Full time

2 days ago
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Job summary

A leading IT services provider is seeking a talented ML Ops Engineer to deploy and scale machine learning solutions in a hybrid working environment. You will work with Python and various ML libraries, ensuring best practices in data engineering while collaborating with cross-functional teams. The ideal candidate will have proven experience in MLOps or DevOps roles, strong programming skills, and a deep understanding of ML lifecycle management. This role offers competitive compensation and comprehensive benefits.

Benefits

Private health/medical insurance
Gym membership
Competitive compensation
Pension scheme
Discounts on technology, groceries, travel

Qualifications

  • Proven experience in MLOps or DevOps roles within machine learning environments.
  • Deep understanding of ML lifecycle management and CI/CD best practices.
  • Familiarity with cloud-native ML platforms and scalable deployment strategies.

Responsibilities

  • Deploy and scale machine learning solutions in production environments.
  • Collaborate with cross-functional teams to integrate AI solutions into scalable products.
  • Ensure best practices in data engineering and contribute to architectural decisions.

Skills

Python
Machine Learning Libraries
PySpark
SQL
CI/CD best practices
Data cleansing
Exploratory Data Analysis
Data Visualization

Tools

MLflow
Kubeflow
Azure ML Pipelines
TensorFlow
Keras
PyTorch
Git
ONNX
TensorRT
TensorFlow Serving
TorchServe
Job description

Location: Erskine, Scotland, or Newcastle England (Hybrid 2-3 days on site)

Security Clearance level: SC

Candidates must be UK national / sole British citizens and reside 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.

The role

Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? We are looking for a talented ML Ops Engineer to join our growing teams.

Key Responsibilities
  • 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.
  • Collaborate with cross-functional teams to integrate AI solutions into scalable products.
  • Ensure best practices in data engineering and contribute to architectural decisions.
  • Support senior team members in identifying and addressing data science opportunities.
Required Skills & Experience
  • Proven experience in MLOps or DevOps roles within machine learning environments.
  • Strong programming skills in Python, with hands‑on experience in PySpark and SQL.
  • Deep understanding of ML lifecycle management and CI/CD best practices.
  • Familiarity with cloud‑native ML platforms and scalable deployment strategies.
  • 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.

What We Will Do For You
  • Competitive compensation.
  • Pension scheme.
DXC Select

Our comprehensive benefits package (includes private health / medical insurance, gym membership and more).

Perks at Work

Discounts on technology, groceries, travel and more.

DXC incentives

Recognition tools, employee lunches, regular social events etc.

Still reading? We'd love to hear from you. Apply today.

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