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

Nominate & Attend

Contract Observability Software Engineer

Queen Street
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning/ Automation Developer

Data Engineer (we have office locations in Cambridge, Leeds & London)

Azure Data Engineer - 18 month FTC

Blackstone Technology and Innovations - Data Analyst - AVP

Contract GCP Trainer - £500-700/pd

Contract Data Engineer - Outside IR35

Contract Observability Software Engineer

Rate: £(Apply online only) or EURO equivalent

Remote - Europe

Bright Purple's impressive Network Security client are looking for a Redis specialist to drive the second phase of a key new Observability project. This ground-breaking new venture within an established, global business is developing an exciting new data monitoring infrastructure.

This will involve getting stuck deeply into their Redis / Loki / AWS environment, working with Golang and generating Grafana dashboards. Ideally you will have worked in a Big Data environment.

They are looking for a real Redis experience whose experience goes in-depth as they have selected Redis as the entire back-end database (noSQL) for this platform.

In this contract role, you will contribute to the design and development of crucial new reporting and analytics infrastructure to help them reach the next level in their field.

The position is initially 5 months and is available 100% remote either within the UK or in Europe.

Your experience will cover:

  • Go / Golang 

  • Redis - extensive, in-depth experience

  • Grafana / Loki / Prometheus or other equivalent Observability/Monitoring technologies

  • Developing refined dashboards for visualisation of observability and measurement data

  • Experience with Cyber / Network Security analytics with modern Big Data approaches

    Reach out to discuss, and send your CV for immediate consideration

    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
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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

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.