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

Apply Now

Marketing Analytics Engineer

Harnham - Data & Analytics Recruitment
London
8 months ago
Applications closed

Related Jobs

View all jobs

Marketing Analytics and Data Engineering Lead

Marketing Analytics and Data Engineering Lead

Growth Marketing Analytics & Data Engineering Lead

Data Engineering Manager (Analytics Engineering and BI)

Data Engineering Manager (Analytics Engineering and BI)

Machine Learning Engineer II, Marketing Testing

Marketing Analytics Engineer

Up to £65,000 + bonuses and benefits

Hybrid - London

A great opportunity to join a leading telecoms business as a Marketing Analytics Engineer

THE COMPANY

The business are a leading telecoms business currently in a period of rapid growth and product tech transformation. As a result, they are seeking to expand their newly-formed Martech team. This team is responsible for improving and optimising the performance and effectiveness of paid media marketing activity, leveraging continuous experimentation and data insights for bidding and targeting.

Joining the team as a Marketing Analytics Engineer, you will be responsible for implementing marketing analytics and reporting pipelines, supporting data science feature engineering, implementing robust data models and metrics, and supporting the implementation of tracking on user journeys .

THE ROLE AND RESPONSIBILITIES

  • Translating analytical requirements into efficient pipelines
  • Designing, building and maintaining scalable data models using DBT
  • Implementing and document metrics definitions
  • Preparing data for advanced analytics, modelling and experimentation
  • Monitoring data pipelines and models

YOUR SKILLS AND EXPERIENCE

  • Strong SQL, Python and Data Visualisation
  • Strong backg...

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.