Senior MLOps Engineer IRC261736

GlobalLogic; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a Senior MLOps Engineer to design and maintain machine learning pipelines. This role emphasizes collaboration with data scientists and software engineers to ensure efficient ML operations. Candidates should have a strong background in DevOps, cloud computing, and machine learning principles. The company values personality and potential, providing opportunities for continuous learning and development. Join a culture that prioritizes balance, flexibility, and integrity while working on impactful projects that shape the future of technology. If you're passionate about AI/ML and eager to make a difference, this is the perfect opportunity for you.

Benefits

Continuous Learning Opportunities

Inclusive Culture

Flexible Work Arrangements

Career Development Programs

Collaborative Environment

Qualifications

• Proven experience as an MLOps Engineer with strong ML lifecycle management.
• Deep understanding of ML principles and experience with deployment strategies.

Responsibilities

• Design and maintain scalable ML pipelines and systems.
• Collaborate with teams to streamline ML model deployment and monitoring.

Skills

Python

Java

Problem-solving

Analytical Skills

Machine Learning Principles

Data Structures

Education

Bachelor's Degree in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

Git

AWS

Google Cloud

Azure

MLFlow

Job description

We are looking for a highly skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations.

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.

Requirements

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.

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

• Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management.
• Strong experience deploying and productionizing ML models.
• Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems.

Technical Insight
• Skills with MLOps concepts and principles.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes).
• Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI).

What We Offer

Culture of Caring: At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.

Learning and Development: We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & Meaningful Work: GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and Flexibility: We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-Trust Organization: We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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