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- Tasks: Build and maintain CI/CD pipelines for cutting-edge ML models in robotics.
- Company: Venture-backed robotics and AI company with a global team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of robotic systems with your skills.
- Qualifications: 4-7 years in MLOps or DevOps, strong Python and full-stack experience required.
- Other info: Exciting projects with real-world impact and excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We’re working with a venture-backed robotics and AI company developing remote-operated robotic systems that allow users to perform physical tasks from anywhere. Their platform combines real-time control, machine learning, and human-in-the-loop interfaces to improve how tasks are executed across distributed environments. The team is international and focused on building and deploying production-grade robotics systems used in real-world settings.
As a Machine Learning DevOps Engineer, you’ll sit at the intersection of machine learning, infrastructure, and product delivery. Working closely with R&D and Product teams, you’ll be instrumental in building scalable ML systems that power advanced robotic platforms.
Responsibilities- Build and maintain end-to-end CI/CD pipelines for ML model training, testing, and deployment
- Track model performance, accuracy, and latency; identify data and concept drift
- Design and optimise scalable cloud and on-prem environments (AWS, GCP, Azure), using Docker and Kubernetes
- Develop and maintain dashboards for live system configuration, monitoring, and fleet management
- Support data ingestion, preprocessing, and feature store development
- Implement robust versioning across models, data, and code, ensuring compliance and reproducibility
- Work closely with data scientists to productionise ML models into API-driven services
- 4–7 years’ experience in MLOps, ML Engineering, or DevOps
- Strong Python skills, with Bash/shell scripting experience
- Full-stack experience (React, TypeScript, Express.js, PostgreSQL)
- Familiar with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with cloud platforms (AWS SageMaker, Azure ML, or Vertex AI)
- Solid knowledge of Docker and Kubernetes
- Exposure to MLOps tools (MLflow, Kubeflow, Airflow, DVC)
- Degree in Computer Science, Data Science, or similar
- Strong problem-solving and communication skills
DevOps Engineer in Wokingham employer: Candidate Portal
Contact Detail:
Candidate Portal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer in Wokingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to MLOps and DevOps. Having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and cloud platform knowledge. Practice coding challenges and be ready to discuss your experience with CI/CD pipelines and ML frameworks.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process.
We think you need these skills to ace DevOps Engineer in Wokingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your DevOps and MLOps experience, especially with Python and cloud platforms, to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about robotics and AI. Share specific examples of your past work that align with our mission and how you can contribute to building scalable ML systems.
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially in CI/CD pipelines and cloud environments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Candidate Portal
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your Python skills, Docker, Kubernetes, and any ML frameworks like TensorFlow or PyTorch. Being able to discuss these tools confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially related to MLOps or DevOps. Think about specific instances where you improved CI/CD pipelines or optimised cloud environments. This will demonstrate your hands-on experience and analytical thinking.
✨Understand the Company’s Mission
Research the company’s focus on robotics and AI. Be ready to discuss how your skills can contribute to their goals, particularly in building scalable ML systems. Showing genuine interest in their mission can set you apart from other candidates.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask at the end of the interview. Inquire about their current projects, team dynamics, or future technology plans. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.