National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

MLOps Engineer

Bright Purple
Dundee
1 week ago
Create job alert

Senior MLOps Engineer - Hybrid/Dundee


Salary up to £70,000


We are looking for aSenior MLOps Engineerto 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..


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.

Related Jobs

View all jobs

MLOps Engineer | Azure & Terraform | Circa €45k

MLOps Engineer

MLOps Engineer

Data Engineer - MLOps

Data Engineer - MLOps

Data Engineer - MLOps

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.