Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Contract Observability Software Engineer

Queen Street
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

MLOps Engineer (Madrid, Spain)

Senior Data Engineer I

Senior Data Engineer I

Senior Data Engineer · Manchester

Data Engineer

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

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.