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

Apply Now

Development Support Analyst

La Fosse
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst - 12 month FTC

Commitment Control and Support Data Analyst 2

Senior Data Analyst - Chelmsford

Data Scientist

Data Scientist

Data Scientist

Development Support Analyst | HYBRID LONDON | Up to £80,000


We are incredibly excited to be partnered with a UK leading specialist Insurer who are looking for a Development support analyst to help play a pivotal role in their technical team.


You will help manage the multiple development tools that the team use. Ensuring that they understand security, end of life/ expiry, configuration and deployment of the tooling.


You will be joining a diverse, cross functional team who all share a passion and obsession for all things tech.


Day to Day Work:

  • Ensure that you understand security, end of life/ expiry, configuration and deployment of the tooling.
  • Work with all departments to ensure users have the tools needed for their role and ensure that their configuration meets the user needs.
  • Responsible for the successful delivery of tooling for end users and managing their issues by having a deep understanding of how the tools are configured.
  • Work with other teams to ensure packaging and deployments are managed effectively. ensuring that all users are on a supported version of the dev tooling.
  • Work with users to upgrade or migrate to supported versions.


Ideally you will have:


  • Previous experience as a developer
  • Strong stakeholder management experience
  • Good technical knowledge of how development tools are managed, configured and deployed
  • Established knowledge of development tools and how they are configured including but not limited to Python, Matlab, R studio
  • Familiar with Development lifecycle
  • Experience in developing, managing and configuring development tools.


No Sponsorship offered.


Development Support Analyst | HYBRID LONDON | Up to £80,000


For more information please send your CV to me on

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.