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

Apply Now

Marketing Manager

Hinckley
9 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Analytics Manager - Lead Data Science & Insights (Hybrid)

Senior Data Scientist

Curriculum Manager - Data Science and Analytics

Data Engineering Manager (LTV and MarTech)

Engineering Manager - Data Science Team

Marketing Manager required for a Used Car Supermarket in Hinckley
Salary DOE
37.5hr week Monday-Friday
Must have Motor Trade Experience
Key Responsibilities:
Website Management

  • Oversee and update the companies website, ensuring accurate and engaging content that drives traffic and conversions.
  • Implement SEO strategies to improve online visibility and performance.
    CRM System
  • Manage the CRM system to optimise customer engagement and retention.
  • Ensure data accuracy and cleanliness to improve the effectiveness of campaigns.
  • Develop and execute email campaigns and other customer-focused communications.
    Marketing Platforms – Online Classifieds
  • Create and manage targeted campaigns across online classifieds to drive leads and sales.
  • Track performance metrics and adjust strategies to maximise ROI.
    Social Media Platforms
  • Develop and manage the social media strategy across all platforms, driving cost-effective organic leads.
  • Create compelling content to engage and grow our audience.
  • Monitor trends and respond to customer interactions effectively.
    Reputation Management
  • Manage and respond to reviews on Google, Trustpilot, and other platforms.
  • Analyse and communicate feedback findings, identifying trends to improve customer perception.
  • Drive stores to engage with customers to promote positive reviews and reduce negative feedback.
    Lead Management
  • Analyse and communicate lead statistics to optimise conversion rates.
  • Collaborate with sales teams to align marketing activities with sales objectives.
    Renewal Business
  • Identify opportunities to target renewal business, such as utilising the company database, finance renewals, and finance partner renewal systems.
    Public Relations (PR) and Blogs
  • Build and maintain positive relationships with media outlets.
  • Write and publish engaging blogs and press releases to strengthen the companies brand.
    Collaboration with MB Marketing
  • Work closely with MB Marketing, which supports our marketing function, ensuring a strong and productive relationship.
    What We’re Looking For:
  • Proven experience in a Marketing Manager role, preferably within the automotive or retail industry.
  • Strong understanding of digital marketing, SEO, and CRM systems.
  • Exceptional skills in social media management and content creation.
  • Experience in analysing data to inform decision-making.
  • Excellent communication and leadership abilities.
  • Knowledge of automotive markets and trends is an advantage.
    What We Offer:
  • Competitive salary.
  • Opportunity to shape the marketing strategy of a fast-growing company.
  • A supportive team environment where your contributions make a real impact.
    Full company details available on application. Apply now with your full CV to Chloe at WeRecruit Auto Ltd quoting job reference ST1635
    Automotive - Motor Trade – Marketing - Marketing Manager - Digital Marketing - Data Analyst - Social Media - Marketing Campaigns - PPC - SEO - ROI - Marketing Manager - Marketing Assistant - Senior Marketing Consultant - Marketing Manager - Marketing & CRM - Marketing & Data- Hinkley - Coventry - Lutterworth - Northampton - Lutterworth - Leicestershire - Job
    Follow us on (email address removed)
    Should your skills and experience match what our client is looking for, we will contact you before proceeding with your application, either via phone or e-mail initially. Unfortunately we are unable to contact all applicants due to the volume of applications so if you do not hear from us within 5 working days please assume you have been unsuccessful on this occasion. If you have relevant industry experience we may store your details for future opportunities

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.