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

Apply Now

Insight Analyst

Xpertise Recruitment
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Strategy & Insight Data Analyst Graduate (TikTok Shop - Governance & Experience) - 2026 Start ([...]

Data Analyst, Transport Insight - 12-Month Fixed Term Contract

Data Analyst

Data Analyst

FMCG Product Insights and Commercial Data Analyst

Insight Analyst - Up to £35,000 - Greater Manchester (Hybrid, flexible working is encouraged)

 

Xpertise Recruitment is seeking an insight analyst to join a fast-paced, data-driven marketing business. This incredible opportunity is perfect for ambitious data professionals with a couple of years of working experience.

 

Why should you want to join?

  • Work in a fast-paced, results-driven environment.
  • The opportunity to progress your career and learn from leaders in the industry!
  • You will receive the support to take their current analytics to the next level.
  • Work alongside the leaders/stakeholders in the broader business on a regular occurrence.
  • Opportunity to work with a range of analytics and machine learning tools
  • They hold loads of social events, which contributes to an excellent team culture.

 

Benefits:

  • Excellent holiday package
  • Bonus scheme
  • Life Assurance
  • Healthcare plan
  • Contributory pension scheme
  • Loads of discounts and days out with your colleagues.
  • The office is easy to get to, and there is free on-site parking.

 

Essential requirements:

  • Programming skills with either Python or SQL.
  • Data visualisation experience.
  • Retail/marketing experience.

Back to Jobs

SHARE:

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.