Join to apply for the MLOps Engineer role at GlobalLogic UK&I

This role is based in our UK&I region.

About the role:

• Responsible for architecting and developing software and pipelines to shorten the algorithm development life cycle from data curation to integration and deployment to support AI technologies that will help improve our users’ experience.
• Develop continuous integration and deployment (CI/CD) pipelines on top of ML model infrastructure for multiple ML development teams.
• Design and develop data engineering tools to store, manage, query and visualize big datasets.
• Create data and metric visualization tools, web UI dashboards for model performance and data drift monitoring. AWS Sagemaker, Terraform

About you (ideally):

We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow your own path. You’ll benefit by gaining exposure to a wide range of tools and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit.

• You’ll have a strong background working within the Data arena and be hands-on in developing complex Data solutions
• You’ll have strong experience deploying and productionising ML models on AWS
• Be a strong proponent of automation and CI/CD particularly within an Agile environment
• Demonstrable professional experience in analysis and advanced modelling/machine learning techniques to solve business problems using large scale, complex data sets

Technical Insight:

• Amazon SageMaker; SageMaker Pipelines, Endpoints, Batch Transformation/Inference
• Amazon MLOps technologies; IAM, S3, Lambda, Step Functions, Athena/Glue, CodePipeline
• Experience in development using Python, particularly using TensorFlow, PyTorch, scikit-learn, boto3 and the Python Data Science stack (pandas, numpy etc.)

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 promote fairness and provide a transparent support structure and generous training budget. Our region supports a hybrid model with flexible working options determined by 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 competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day. We also enjoy social events and trips.

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.

Company Benefits

• Competitive pension, private medical insurance & a Health Cash Plan
• Annual Volunteering Days
• Reward & Recognition via Reward Gateway
• Holiday allowance with option to buy up to 5 extra days
• Family friendly policies and online discounts
• Health and Wellbeing support including mental health resources and 24/7 EAP
• Personal development supported by a generous training budget
• Socials and additional perks

Interview Process

• Recruitment Screening (Alex Dawson)
• Technical Interview (1 hour)

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology and Engineering
• Industries: IT Services and IT Consulting

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.