Digital Marketing Trainee

e-Careers Limited
London
11 months ago
Applications closed

Related Jobs

View all jobs

frog -Managing Consultant - Data Science (Customer Data)

frog - Senior Consultant - Data Science (Customer Data)

Data Engineer for Data Science — Marketing Analytics

Lecturer (Teaching and Scholarship) in Music and Data Science

Data Engineer (Data Science)

Lecturer in Music & Data Science — Lead MSc Program

Take your first steps towards a new and exciting career in Digital Marketing.

e-Careers is a dynamic and forward-thinking training company dedicated to changing lives through innovative training solutions.

The market is facing a severe skills shortage for newly trained Digital Marketers. e-Careers will provide you with the training and certifications before matching you to an employer where you will undergo a remote work experience programme. If successful, our employer will offer you a full-time paid job.

We are looking for motivated and ambitious individuals who may not have any prior experience but have the hunger to start a career in digital marketing.

What the Traineeship Offers:

  • 6 months of online, self-paced training, which can be studied in your own time from any internet-enabled device
  • Official ‘Digital Marketing Institute’ certification
  • Artificial Intelligence in Digital Marketing training
  • Mentoring and coaching
  • Practical exercises
  • Membership to the Digital Marketing Institute
  • Guaranteed remote work experience

The Process

Training -> Digital Marketing Institute Certifications -> Work Experience

Who Should Apply

Anyone who is interested in a career in digital marketing, irrespective of prior experience or knowledge, but is willing to go through a training programme prior to being introduced to an employer.

Requirements

  • No prior experience or knowledge is required
  • Individuals must be willing to learn through a part-time, online training programme that lasts around 6 months before starting work as a digital marketer
  • A good grasp of English is essential

Benefits

  • Become a qualified digital marketer within 6 months
  • Guaranteed work experience
  • The fastest way to launch a career in digital marketing for individuals who have little to no prior experience
  • All training and work experience is done remote / online.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.