At a Glance
- Tasks: Design and manage cloud infrastructure while supporting AI/ML platforms.
- Company: Join a dynamic tech company in London with a focus on innovation.
- Benefits: Competitive salary, professional growth, and a collaborative work environment.
- Other info: Fast-paced environment with opportunities for career advancement.
- Why this job: Make an impact in the exciting field of MLOps and cloud technology.
- Qualifications: 5+ years in DevOps, strong cloud and containerisation skills required.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for a Senior DevOps Engineer (Infrastructure & MLOps) with strong experience in cloud infrastructure and CI/CD automation to join our client’s on-site team in London. This role focuses on designing, implementing, and managing highly available cloud infrastructure while supporting AI/ML platforms and production-grade deployment pipelines. You will work closely with engineering and data teams to deliver scalable, secure, and reliable systems.
- What You’ll Do
- Design, implement, and manage highly available infrastructure for cloud-based platforms using Amazon Web Services.
- Architect and support AI/ML infrastructure including Lambda-based workloads and managed ML environments for training, hosting, and inference.
- Create and automate robust deployment pipelines using CI/CD tools such as GitHub Actions and GitLab.
- Build, maintain, and scale containerised applications using Docker and Kubernetes / ECS / Fargate.
- Implement MLOps best practices to streamline model transition from development to production.
- Ensure system scalability and reliability through monitoring, logging, and automated alerting using tools such as Datadog, Prometheus, Grafana, and MLflow.
- Collaborate with Product Engineers and Data Scientists to optimise performance, security, and infrastructure costs.
- Manage and evolve Infrastructure-as-Code environments.
- What We’re Looking For
- Required Skills & Experience
- 5+ years of experience in a DevOps, SRE, or infrastructure engineering role.
- Expert knowledge of cloud platforms (AWS preferred; GCP or Azure also valuable).
- Strong experience with containerisation technologies (Docker, ECS, Kubernetes).
- Proven experience designing and managing complex CI/CD pipelines.
- Experience with MLOps workflows (model versioning, retraining pipelines, feature stores).
- Hands-on experience with monitoring and logging platforms.
- Strong scripting skills (Python required; Bash, Go, or similar beneficial).
- Experience with Infrastructure-as-Code tools (Terraform, Ansible, or CloudFormation).
- Excellent communication skills and ability to collaborate with both DevOps and Data Science teams on-site.
- Nice to Have
- Direct experience with AWS Lambda and managed ML services.
- Experience with database systems (SQL/NoSQL) and orchestration of data pipelines including Google BigQuery.
- Knowledge of security and data privacy best practices in regulated environments (e.g. healthcare / sensitive data).
- Previous experience working in fast-paced startup or scale-up environments.
Senior DevOps Engineer (Infrastructure & MLOps) employer: Talenzon group
At Talenzon group, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior MLOps Engineer in our London office, you will benefit from a dynamic environment that encourages professional growth through hands-on experience with cutting-edge technologies like AWS and SageMaker. Our commitment to employee development, coupled with the vibrant city of London as your workplace, makes Talenzon an exceptional employer for those seeking meaningful and rewarding careers in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior DevOps Engineer (Infrastructure & MLOps)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, tech conferences, or even local events. The more people you know, the better your chances of landing that Senior DevOps Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving AWS, Docker, and CI/CD pipelines. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your cloud infrastructure knowledge and MLOps practices. Practice common interview questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who take the initiative to reach out and show their interest in joining our team!
We think you need these skills to ace Senior DevOps Engineer (Infrastructure & MLOps)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior DevOps Engineer role. Highlight your experience with cloud infrastructure, CI/CD automation, and MLOps. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've designed or managed cloud infrastructure or implemented CI/CD pipelines. We love seeing real-world examples of your work, especially if they relate to AI/ML platforms.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for your skills and experiences to make it easy for us to read. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Talenzon group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Docker, and Kubernetes. Brush up on your CI/CD pipeline knowledge and be ready to discuss how you've implemented these tools in past projects.
✨Showcase Your MLOps Experience
Since this role focuses on MLOps, prepare specific examples of how you've managed model transitions from development to production. Discuss any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Collaboration is Key
Highlight your experience working with both DevOps and Data Science teams. Be ready to share examples of successful collaborations and how you optimised performance and security in those projects. Communication is crucial, so show that you can bridge the gap between teams.
✨Prepare Questions
Have a few thoughtful questions ready about the company’s infrastructure, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
