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For Companies At a Glance
- Tasks: Own and manage cloud infrastructure while building modern dashboards and analytics tools.
- Company: SoCode Recruitment connects top talent with innovative tech companies in London.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team focused on cutting-edge ML infrastructure and impactful projects.
- Qualifications: 5+ years in systems, MLOps, and cloud-native engineering required.
- Other info: Opportunity to collaborate closely with ML engineers and lead system design.
The predicted salary is between 48000 - 72000 £ per year.
Ownership of Cloud InfrastructureKubernetes, Terraform, CI/CD pipelinesBuild Clean, Modern Dashboards and Analytics Tools Using React or similarLead on System Design, Performance Tuning, and Reliability What We\’re Looking For ~5+ years of professional……systems, MLOps, and cloud-native engineering.What You\’ll Be Doing Architect and build scalable APIs using FastAPI (or similar), Python, and modern backend frameworksDesign and maintain infrastructure for ML model servingWork closely with ML engineers to…
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Senior Software Engineer | ML Infrastructure in London - SoCode Recruitment employer: Java Script Works
Contact Detail:
Java Script Works Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer | ML Infrastructure in London - SoCode Recruitment
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Kubernetes and Terraform. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your previous experiences with cloud infrastructure and MLOps. Be ready to share specific examples of how you've managed cloud environments and optimised performance in past roles.
✨Tip Number 3
Showcase your ability to collaborate with ML engineers by discussing any past projects where you worked closely with data scientists or ML teams. Highlight how your contributions improved system design or model serving.
✨Tip Number 4
Stay updated on the latest trends in machine learning infrastructure and cloud-native engineering. Being knowledgeable about current best practices will demonstrate your commitment to the field and your readiness for the role.
We think you need these skills to ace Senior Software Engineer | ML Infrastructure in London - SoCode Recruitment
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud infrastructure, Kubernetes, Terraform, and CI/CD pipelines. Use specific examples from your past roles to demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for ML infrastructure and how your skills align with the job requirements. Mention your experience in building scalable APIs and collaborating with ML engineers, as this is crucial for the role.
Showcase Relevant Projects: If you have worked on projects involving React or similar frameworks, be sure to include them in your application. Highlight any dashboards or analytics tools you have developed, as this will show your practical experience.
Prepare for Technical Questions: Anticipate technical questions related to system design, performance tuning, and reliability. Be ready to discuss your approach to these topics in detail, as they are key aspects of the role.
How to prepare for a job interview at Java Script Works
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Kubernetes, Terraform, and CI/CD pipelines in detail. Highlight specific projects where you've successfully managed cloud infrastructure and how you approached challenges.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your system design and performance tuning skills. Prepare examples of how you've optimised systems in the past, focusing on reliability and scalability.
✨Familiarise Yourself with Relevant Frameworks
Since the role involves building dashboards using React or similar frameworks, brush up on your knowledge of these technologies. Be ready to discuss your experience and any relevant projects you've worked on.
✨Collaborate and Communicate Effectively
As collaboration with ML engineers is key, think of examples where you've worked in cross-functional teams. Emphasise your communication skills and how you ensure alignment on project goals.
