About Company
Accelerating innovation in the AI landscape requires exceptional talent, especially in Machine Learning Operations. Career.zycto is seeking an MLOps Engineer ready to transform complex models into stable, production-ready systems. Our vibrant Glasgow team offers a unique platform to architect, deploy, and monitor scalable ML pipelines, directly influencing our core product offerings. We value engineers who thrive on challenges, embrace automation, and are passionate about operationalizing machine learning at scale. This is where your skills in DevOps, data engineering, and machine learning converge to build the future.
Job Description
Are you a passionate and skilled Machine Learning Operations (MLOps) Engineer looking to make a significant impact on real-world applications? Career.zycto is expanding its innovative engineering team in the vibrant Hillhead area of Glasgow, and we’re actively searching for a talented individual to drive the operationalization of our cutting-edge machine learning models. This is an exceptional opportunity to join a dynamic company at the forefront of AI innovation, where your expertise will be pivotal in bridging the gap between sophisticated data science research and robust, scalable production systems.
As an MLOps Engineer at Career.zycto, you will be instrumental in designing, building, and maintaining robust and scalable machine learning infrastructure. You will work in a highly collaborative environment, closely partnering with our data scientists, software engineers, and product teams to streamline the entire ML lifecycle. This encompasses everything from facilitating efficient experimentation and model training to ensuring seamless, automated deployment, continuous monitoring, and proactive maintenance of our intelligent systems. Your primary goal will be to ensure that our machine learning models are not only reliable and performant but also efficiently and safely integrated into our core products and services, delivering tangible value to our users.
This role demands a strong blend of software development best practices, a deep understanding of cloud platforms, and a solid grasp of machine learning principles. We are looking for someone who can champion automation, cultivate robust continuous integration/continuous delivery (CI/CD) pipelines specifically tailored for ML workloads, and implement sophisticated monitoring solutions to track model performance, data drift, and system health. You will be responsible for evaluating and integrating new technologies and tools that enhance our MLOps capabilities, ensuring our systems remain at the technological cutting edge. If you thrive in an environment where your contributions directly shape the deployment and success of intelligent systems, and you’re eager to tackle complex challenges with creative, impactful solutions, then Career.zycto is the place for you. We offer a collaborative culture where your professional growth is actively supported, your innovative ideas are valued, and your work truly makes a difference. Join us in building the future of AI from our Glasgow hub.
Key Responsibilities
- Design, build, and maintain scalable MLOps pipelines for model training, evaluation, and deployment.
- Implement CI/CD practices for machine learning models and related services.
- Develop and manage infrastructure for model serving, monitoring, and retraining.
- Collaborate with data scientists to transition models from research to production efficiently.
- Ensure model performance monitoring, data drift detection, and anomaly alerts are in place.
- Automate model testing, validation, and versioning strategies.
- Manage cloud resources (e.g., AWS, Azure, GCP) for ML workloads.
- Troubleshoot and resolve issues related to ML model deployments and infrastructure.
- Stay updated with the latest MLOps tools, technologies, and best practices.
- Contribute to documentation and knowledge sharing within the team.
Required Skills
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong experience with cloud platforms (AWS, Azure, or GCP).
- Solid understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with ML lifecycle management tools (e.g., MLflow, Kubeflow, Sagemaker).
- Knowledge of data warehousing and data processing technologies.
- Excellent problem-solving and communication skills.
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience with distributed computing frameworks (e.g., Spark).
- Knowledge of model interpretability and explainability techniques.
- Familiarity with serverless architectures for ML model serving.
- Contributions to open-source MLOps projects.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Generous paid time off and public holidays.
- Comprehensive health and dental insurance.
- Company-matched pension contributions.
- Professional development budget for courses and conferences.
- Flexible working hours and potential for occasional remote work.
- Modern office space in Hillhead, Glasgow, with excellent amenities.
- Regular team social events and company-sponsored activities.
- Opportunity to work with cutting-edge AI and ML technologies.
- Cycle to Work scheme.
How to Apply
To embark on this exciting journey with Career.zycto, please click on the application link below. Ensure your resume highlights your MLOps experience, cloud expertise, and passion for operationalizing machine learning. We look forward to reviewing your application!
