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

Apply Now

PPC/SEO - Manchester, Greater Manchester

Vivify Venues
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Marketing Data Analyst

PPC/SEO - Manchester, Greater Manchester About Us: At Vivify, we are committed to driving growth and innovation in the ecommerce space. Our team thrives on data-driven decision making and continuous improvement. We are seeking a talented Data Analyst to join our dynamic team and contribute to our growth strategy through insightful data analysis and reporting. Position Overview: We are seeking a highly skilled and motivated PPC/SEO Specialist to join our dynamic marketing team. The ideal candidate will be responsible for creating and implementing effective SEO strategies to improve our website's visibility and user experience, as well as managing and optimising our paid search campaigns. This role requires a detail-oriented individual with a strong understanding of SEO best practices, keyword research, competitive analysis, and proficiency in using SEO tools. Key Responsibilities: SEO Strategy Development and Implementation: Create and implement comprehensive SEO strategies aimed at enhancing website visibility and user experience. Conduct thorough keyword research and analyse trends to identify opportunities for content optimization. Website Audits and Optimization: Perform detailed website audits to identify SEO issues, such as website speed and crawl errors. Implement necessary changes to enhance website performance and ensure optimal user experience. SEO Monitoring and Reporting: Utilize SEO tools (e.g., SEMrush) to monitor and report on key SEO metrics. Develop standardised reporting methods to track and communicate SEO and PPC performance. Competitive Analysis: Understand and analyse competitors' websites and keyword strategies to identify areas for improvement and opportunities. Paid Search Campaign Management: Execute paid search campaigns for brand keywords and other campaigns while managing them within the allocated budget. Continuously optimize paid search efforts to maximize ROI and achieve campaign goals. Stay Updated on Industry Trends: Stay informed about search engine algorithms, industry trends, and best practices to ensure the implementation of up-to-date SEO techniques.

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.