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

Apply Now

Digital Marketing Coordinator

Uny Lelant
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Senior Marketing Analytics & Data Scientist

Senior Marketing Data Analyst (FTC for 3 months)

Business Data Analyst, Reporting

Data Analyst (Reporting & Operations)

Data Analyst (Reporting & Operations)

Digital Marketing Coordinator
Location: The Colour Laboratory, TR26 3HU
Salary: Competitive, DOE + Benefits!
Hours: Monday – Friday, 08.15 – 16.15
We are looking for a Digital Marketing Coordinator with experience in eCommerce and digital marketing to drive online sales and brand awareness primarily for our school market and graduation photography services.
The ideal candidate will be responsible for managing digital campaigns, optimising our eCommerce site, and increasing engagement with schools and parents.
Key Responsibilities:
Website Management for corporate and eCommerce sites:

  • Manage and oversee any ecommerce website updates, whilst working with the UX designer and designers on product and category merchandising (including copy & imagery).
  • Tracking and analysing product sales; recommending changes to the product mix and sales material (all channels) based on findings.
  • Refine the user experience across our websites to ensure both a seamless brand and sales journey.
  • Take ownership of the product library. Plus, liaise with our Operations and Customer Service teams to ensure smooth product launches.
  • Work with designers and developers to enhance website usability and conversion rates.
  • Familiarity with WordPress. Support with the redevelopment of the company’s new corporate website.
    Analytics & Performance Tracking:
  • Use Google Analytics to track performance.
  • Generate reports on website traffic and conversion rates.
  • Assess product sales data from our data bases using SQL; analyse datasets with Jupyter Notebook experience, Excel and BigQuery to identify trends with the support of our UX designer.
  • Create reports to communicate findings and support strategic decisions.
    Wider Marketing Support
  • Understand the school landscape to identify new ways to stand out from the competition.
  • Support with our Instagram and LinkedIn presence, creating and scheduling behind-the-scenes content, promotional campaigns, and user-generated content to drive engagement.
  • Be an all-round help and support to the successful running of the Marketing department. Not afraid to get stuck in and collaborate across a variety of projects.
    In order to be successful in this role you must have / be:
  • 3+ years of experience in digital marketing, eCommerce, lead generation or Data Science, with the ability to manage multiple campaigns across different audiences.
  • Exceptional written and verbal communication skills in English, with a talent for crafting engaging content and presenting ideas effectively to stakeholders.
  • A critical thinker with strong problem-solving skills. Experience of data analysis with the ability to interpret datasets and translate findings into strategic insights.
  • Experience working with creative teams, including briefing designers and overseeing content production.
  • Ability to work under pressure, meet deadlines, and thrive in a fast-paced environment while managing multiple priorities.
  • Experience in a similar social media role in-house, with a social media agency or as a freelance content creator.
  • Proficiency in photo, video, and graphic editing tools (e.g., Canva, InDesign) with a strong storytelling ability is desirable but not essential.
  • Experience in A/B testing is a plus but not essential.
  • Familiarity with the education sector is an advantage.
  • Ready to hit the ground running in a small but motivated marketing team.
    Why Join Us
  • Competitive salary
  • Pension scheme
  • Opportunity to work in a fast-growing photography and eCommerce business.
  • Dynamic, creative, and supportive work environment
    If you have a passion for digital marketing – we’d love to hear from you!
    Please apply by emailing a CV and Supporting Statement of no more than two pages by clicking on “APPLY” today

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.