DXC Technology Logo

DXC Technology

Machine Learning Engineer

Reposted 17 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
Design, develop, and deploy scalable machine learning solutions while collaborating with cross-functional teams and optimizing model performance.
The summary above was generated by AI

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.

Machine Learning Engineer

Location: Erskine, Newcastle, Farnborough or London ​

Candidates must be eligible for clearance

We’re looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment.

Key Responsibilities

  • Design, develop, and deploy machine learning models using modern frameworks and libraries.
  • Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions.
  • Optimize and deploy models with 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 ML solutions into production environments.
  • Monitor and improve model performance to ensure accuracy and efficiency.
  • Contribute to team knowledge by mentoring and supporting colleagues.
  • Bring creativity and fresh perspectives to problem-solving and technical solutions.

Key Skills & Experience

  • Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch).
  • Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe).
  • Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines).
  • Knowledge of distributed data processing (PySpark) and software engineering principles (Git).
  • A collaborative mindset and excellent problem-solving abilities.
  • Experience in data cleansing, exploratory data analysis, and visualisation.
  • A continuous learning mindset and interest in emerging AI/ML 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. More information on employment scams is available here.

Top Skills

Azure Ml Pipelines
Catboost
Git
Keras
Kubeflow
Lightgbm
Mlflow
Numpy
Onnx
Pandas
Pyspark
Python
PyTorch
Scikit-Learn
TensorFlow
Tensorflow Serving
Tensorrt
Torchserve
Xgboost

Similar Jobs

10 Days Ago
In-Office or Remote
GB
Mid level
Mid level
Productivity • Software • App development • Automation
As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.
Top Skills: AWSC++CmakeDockerGCPGitJenkinsNumpyOpencvPython
23 Days Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Software • Energy
The Machine Learning Engineer will develop ML and GenAI solutions, deploy algorithms in production, mentor teams, and drive data strategy initiatives while fostering a collaborative culture in the data science community.
Top Skills: AWSCi/CdDatabricksDockerKafkaMlflowPythonSagemaker
23 Days Ago
In-Office
London, Greater London, England, GBR
Mid level
Mid level
Software • Energy
As a Machine Learning Engineer, you'll design and implement ML and GenAI solutions, deploy algorithms, maintain data science products, and contribute to a collaborative team culture.
Top Skills: AWSDatabricksDockerKafkaMlflowNumpyPandasPythonSagemakerScikit-Learn

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account