Job Search
We can help you build an exceptional career
MLOps Engineer IRC214717
| Job | IRC214717 |
| Location | United Kingdom - London |
| Designation | Senior Consultant |
| Experience | 3-5 years |
| Function | Engineering |
| Skills | Architecture, AWS ML STACK – Sage Maker, Data Science, DevOps, Google Cloud AutoML, Microsoft Azure ML Studio |
| Work Model: | Hybrid |
Description
UK&I / DAS / Data Science – MLOps
Requirements
DevOps:
• Expertise in cloud platforms, such as AWS, GCP, or Azure, and their ML-related services.
• Proficiency in infrastructure-as-code tools like Terraform or CloudFormation.
• Knowledge of containerization technologies like Docker and container orchestration tools.
• Experience with automation and configuration management tools.
• Understanding of system administration, networking, and security concepts.
• Familiarity with monitoring, logging, and observability tools.
• Knowledge of continuous integration, delivery, and deployment pipelines.
Machine Learning (ML):
• Deep understanding of machine learning principles, algorithms, and techniques.
• Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark.
• Proficiency in data preprocessing, feature engineering, and model evaluation.
• Knowledge of ML model deployment and serving strategies, including containerization and microservices.
• Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring.
• Ability to optimize and fine-tune ML models for performance and accuracy.
• Understanding of statistical analysis and experimental design.
• Proficiency in data visualization and interpretation of ML results.
Job Responsibilities
Software Engineering:
• Proficiency in programming languages used in ML, such as Python/ Java.
• Knowledge of software development best practices and methodologies.
• Experience with version control systems (e.g., Git).
• Familiarity with CI/CD tools and practices.
• Strong problem-solving and analytical skills.
• Understanding of data structures and algorithms.
• Ability to design and develop scalable, efficient, and maintainable software systems.
• Experience with microservice architecture, API development.
We Offer
Why work at GlobalLogic
Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs.
You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), and discounted gym memberships. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day – so you can take time to support a cause close to your heart. We also love to stay social at our trips to the zoo, quiz nights, sports events, theatre trips and much more.
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation. We are proud signatories to the Tech Talent Charter which was created because solving the diversity problem in tech requires a collective effort across companies and sectors – https://www.techtalentcharter.co.uk/.