[Hiring] Senior MLOps Engineer @Extreme Reach
Mar 21, 2025 - Extreme Reach is hiring a remote Senior MLOps Engineer. 💸 Salary: unspecified. 📍Location: UK.
Role Description
The Senior MLOps Engineer plays a critical role in ensuring the seamless integration, deployment, monitoring, and scaling of machine learning models into production. The role blends the expertise of DevOps and machine learning to bridge the gap between data science and operational systems, ensuring that ML models perform reliably and at scale in real-world environments. As the Senior MLOps Engineer, you'll drive best practices for model lifecycle management and create the infrastructure to automate and streamline workflows.
- Design and architect the AI/ML models platform to support scalable, efficient, and high-performance machine learning workflows.
- Build and manage infrastructure that supports the deployment of machine learning models, leveraging cloud services (AWS), CDK, and containerization tools like Docker.
- Architect and develop MLOps systems with tools such as AWS Sagemaker, MLFlow, Stepfunctions, Lambdas.
- Lead the design and implementation of CI/CD pipelines to automate model deployment and rollback processes, ensuring seamless delivery to production.
- Ensure scalability and efficiency of the models to handle real-time predictions and batch processing.
- Set up monitoring and logging solutions for tracking the performance of models in production (DataDog, Cloudwatch).
- Define and promote best practices in MLOps.
- Provide technical leadership and mentorship to MLOps engineers on technologies and standard processes.
- Partner with the global engineering team to drive cross-functional alignment and ensure seamless integration of AI ML models into the wider data ecosystem.
- Work closely with Data Scientists, DevOps teams, and Product Managers to ensure effective integration and deployment of machine learning models.
- Stay up-to-date with the latest trends and technologies in MLOps and machine learning deployment.
Qualifications
- MS/BS in Computer Science or related background preferred.
- 5+ years of experience in MLOps or related roles, with at least 2+ years in a senior engineering capacity.
- Proven experience leading and mentoring teams, managing multiple stakeholders, and delivering projects on time.
- Proficiency in Python is essential.
- Experience with shell scripting, system diagnostic and automation tooling.
- Proficiency and professional experience of ML and computer vision.
- Experience building and deploying ML, computer vision or GenAI solutions (PyTorch, TensorFlow).
- Experience working with databases to manage the flow of data through the machine learning lifecycle.
- Experience with cloud-native services for machine learning, such as AWS SageMaker, MLFlow, Stepfunctions, Lambdas is essential.
- Deep expertise in Docker for containerization of machine learning models and tools is essential.
- Experience delivering environment using infrastructure-as-code techniques (AWS CDK, CloudFormation).
- Experience setting up and managing continuous CI/CD pipelines for ML workflows using tools like Jenkins, GitLab.
- Experience in fast-paced, innovative, Agile SDLC.
- Strong problem solving, organization and analytical skills.
- Experience with Databricks is beneficial.
- Experience in building and managing training, evaluation and testing datasets is beneficial.
- Knowledge of security best practices in the context of machine learning.
Company Description
XR - Extreme Reach revolutionized the way advertisers control the deployment of their creative and how the media sources those ads to execute campaigns. The company’s creative asset workflow platform, AdBridge™, is built upon a decade of innovation and integrates all the paths and processes required by today’s complex media landscape.
- XR proudly serves the best and biggest brands, agencies, production companies, media destinations, performers and rights owners.
- With over 200,000 registered users and nearly four million creative assets in its care, XR connects the creative flow between the buy and sell sides of the advertising ecosystem.
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| 📍 | Be aware of the location restriction for this remote position: UK |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
|
Salary
💸
unspecified
|
Remote
Location
UK
|
|
Job Type
full-time
|
Posted
Mar 21, 2025
|
| 📍 | Be aware of the location restriction for this remote position: UK |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
