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- Tasks: Manage and optimise ML model deployments for reliability and efficiency.
- Company: Join a Scottish company at the forefront of AI solutions.
- Benefits: Enjoy a hybrid work model and a competitive salary up to £70,000.
- Why this job: Be part of a cutting-edge team that values innovation and collaboration.
- Qualifications: 4+ years in MLOps or software engineering with strong Python skills required.
- Other info: Bright Purple promotes diversity and inclusion in the workplace.
The predicted salary is between 42000 - 84000 £ per year.
We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence.
The Role:
- Managing and optimising existing ML model deployments to ensure reliability and efficiency.
- Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management.
- Collaborating closely with data scientists to understand and implement model requirements.
- Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems.
- Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation.
- Upholding best practices in security, cost management, and infrastructure design for cloud environments.
The Ideal Candidate:
- 4+ years of experience in MLOps, DevOps, or software engineering roles.
- Strong programming skills in Python and familiarity with ML frameworks.
- Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments.
- Proficiency with containerization and orchestration tools (Docker, Kubernetes).
- Experience with version control systems and CI/CD pipelines.
- Knowledge of data engineering concepts (e.g., ETL, data pipelines).
- Ability to troubleshoot complex production systems.
If you have the skills and desire for this, then please email your CV to Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
Senior MLOps Engineer in Dundee employer: Bright Purple Resourcing
Contact Detail:
Bright Purple Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer in Dundee
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as SageMaker and ECS. Having hands-on experience or projects that showcase your skills with these tools can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with CI/CD pipelines and how you've implemented them in past roles. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Tip Number 3
Network with professionals in the MLOps community, especially those who work in similar environments. Engaging in relevant forums or attending meetups can provide insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 4
Showcase your collaboration skills by preparing examples of how you've worked with data scientists and R&D teams in the past. Highlighting your ability to bridge technical gaps will resonate well with the hiring team.
We think you need these skills to ace Senior MLOps Engineer in Dundee
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in MLOps, DevOps, and software engineering. Emphasise your programming skills in Python and your familiarity with ML frameworks, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI solutions and your understanding of the company's goals. Mention specific projects or experiences that demonstrate your ability to manage and optimise ML model deployments.
Highlight Relevant Skills: In your application, clearly outline your experience with AWS services, containerization tools like Docker and Kubernetes, and your knowledge of CI/CD pipelines. This will show that you meet the technical requirements of the position.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Bright Purple Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with MLOps, DevOps, and software engineering. Highlight specific projects where you've implemented CI/CD pipelines or worked with AWS services like SageMaker and ECS.
✨Demonstrate Collaboration
Since the role involves working closely with data scientists and R&D teams, be ready to share examples of how you've successfully collaborated in the past. This could include discussing how you gathered model requirements or integrated ML solutions into existing systems.
✨Prepare for Problem-Solving Questions
Expect questions that assess your troubleshooting skills, especially regarding complex production systems. Think of scenarios where you identified issues and implemented effective solutions, particularly in cloud environments.
✨Understand the Company’s Values
Research the company’s commitment to diversity and inclusion. Be ready to discuss how your values align with theirs and how you can contribute to a positive workplace culture.
