Digital Marketing Manager

STOPGAP-1
Greater London
1 year ago
Applications closed

Related Jobs

View all jobs

B2C Data Scientist (Crawley, GB, RH10 9AD)

B2C Data Scientist (Crawley, GB, RH10 9AD)

Marketing Data Analyst

Data Analyst

Customer Campaign Data Analyst - B2C

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote


We are looking for an experienced Digital Marketing Manager to manage and optimise the performance of a digital marketing agency.

THE COMPANY
A well established insurance company, based in London.

THE ROLE
As Digital Marketing Manager you will be responsible for ensuring the agency delivers across paid search, paid social, SEO and CRO campaigns. Your role will include:
- briefing the agency, setting clear objectives
- managing marketing budgets
- campaign analysis
- campaign optimisation

YOU
To be successful in this Digital Marketing Manager role you MUST have:
- strong understanding of digital marketing campaigns
- proved experience of digital marketing agency management
- PPC, paid social and SEO campaigns
- excellent data analysis, reporting and performance optimisation
- ability to work in central London on a regular basis

You must be fluent in English and have the right to work in the UK.

If you can tick ALL the boxes, then please apply online NOW!

NB: You must be eligible to work in the UK

If this role isn't what you are looking for, don't worry. At Stopgap we cover a wider range of freelance and permanent positions with dedicated sector specialists. It is worth checking our website for all our latest jobs and registering to receive job alerts so you are the first to know about a new opportunity.

Marketing, Digital and Creative Recruitment
Stopgap - Talent With A Spark

a2F0ZS5jcnVtcHRvbi4wNTkwOS40MzlAc2dncm91cG5ldy5hcGxpdHJhay5jb20.gif

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.