Data / Machine Learning Ops Engineer
Posted 1 day 20 hours ago by Limelight Health
Location: Erskine, Newcastle, Farnborough or London. Candidates must be eligible for clearance.
Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment. If you don't meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn.
Key Responsibilities- Deploying, monitoring, and scaling machine learning models in production.
- Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products.
- Supporting the full ML lifecycle, from experimentation to deployment and optimisation.
- Applying best practices in data engineering and contributing to architectural decisions.
- Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency.
- Contributing to a culture of knowledge-sharing and continuous improvement.
- Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn.
- Experience with frameworks such as TensorFlow, Keras, or PyTorch.
- Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost.
- Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe).
- Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines.
- Experience working with distributed data processing (e.g., PySpark) and SQL.
- Understanding of software engineering best practices, including version control (Git).
- Knowledge of CI/CD principles in ML environments.
- Experience with cloud-native ML platforms is advantageous.
- 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.