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

Apply Now

Google Cloud AI/ML Data Engineer

Resource on Demand
London
2 weeks ago
Create job alert

We are recruiting on behalf of our client, a consulting company, for a Google Cloud AI/ML Data Engineer.This role focuses on building AI-driven marketing automation solutions using the latest Google Cloud Platform (GCP) and Google Marketing Platform (GMP) technologies. You’ll design and implement machine learning pipelines, manage data ingestion, and drive campaign optimisation for high-impact marketing projects.Key benefits:

  • Collaborate with cross-functional teams in a fast-paced, innovative environment.
  • Lead the development of AI/ML solutions that directly influence marketing strategy.

  • Access to the latest GCP and MarTech tools.

This is a contract role, and will require you to work 3 days a week from their London based office.If you’re passionate about AI/ML, we want to hear from you! Ideally hold one or more Google Cloud Platform certifications.
#J-18808-Ljbffr

Related Jobs

View all jobs

Executive Director / Principal Data Scientist

Executive Director / Principal Data Scientist

Data Engineer - Pharma

Data Engineer - AI & Machine Learning Focus

Data Engineer

Data Engineer

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.