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

Nominate & Attend

DevOps/Data Engineering/Compliance (Remote)

MLabs
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Principal, Data Engineering

Data Engineering Manager

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Scientist

Our Client islooking for a DevOps & Data Engineer with a strong focus on compliance to help us scale and secure our infrastructure while ensuring compliance with GDPR, ISO 27001, and other relevant regulations.

This role will bridge the gap between DevOps, Data Engineering, and Security Compliance. The Role You will be responsible for designing and maintaining our cloud infrastructure, ensuring data security, compliance, and scalability. You’ll work closely with product, engineering, and compliance team to implement secure, privacy-focused data pipelines and DevOps best practices.

Key Responsibilities:

DevOps & Infrastructure:

  • Design, implement, and maintain scalable, secure cloud infrastructure (AWS, GCP, or Azure).
  • Automate deployments and infrastructure provisioning using Terraform, Kubernetes, Docker, or similar tools.
  • Optimize CI/CD pipelines for security and ehiciency (GitHub Actions, GitLab CI/CD, etc.).
  • Implement observability, monitoring, and logging (Prometheus, Grafana, ELK, or similar).

Data Engineering & Security Compliance:

  • Build and maintain secure, compliant data pipelines (ETL, ELT) that integrate with HRMs, psychometrics, and project management tools.
  • Ensure data governance and privacy by implementing encryption, anonymization, and access controls.
  • Work on data storage, retention, and backup strategies to align with GDPR and ISO 27001.
  • Collaborate with compliance teams to implement security best practices (SOC 2, ISO 27001, GDPR compliance).
  • Perform regular security audits, risk assessments, and incident response planning.

Requirements

  • Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform, Pulumi).
  • Proficiency in DevOps tools (Docker, Kubernetes, CI/CD pipelines).
  • Knowledge of security best practices (IAM, network security, data encryption, SIEM solutions).
  • Experience with data engineering (ETL, data lakes, database management with PostgreSQL, MongoDB, or similar).
  • Understanding of compliance frameworks (GDPR, ISO 27001, SOC 2, or similar).
  • Familiarity with scripting languages (Python, Bash, or similar) for automation and data processing.
  • Bonus:Experience with AI/ML pipelines, HashiCorp Vault, or advanced logging/security tools.

Benefits

  • Work on a meaningful product that makes workplaces more inclusive.
  • Fully remote, flexible working culture.
  • Opportunity to shape the product and tech stack from an early stage.
  • Equity options in a growing company.

How

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.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.