Seo Specialist

Birmingham
2 days ago
Applications closed

Related Jobs

View all jobs

Data Analyst (Marketing)

Poolhall recruitment are recruiting for a SEO specialist for a leading digital marketing agency in the Birmingham who specialises in design, SEO, paid media & social media.
Our client focuses on carefully devising marketing strategies and creating high-quality designs that are tailored to their client’s specific needs. Their clients range in company size and sector.
They have services including analytics and data science, paid media, SEO, and web design.
The Successful candidate will be responsible for planning, implementing, and managing SEO strategy to create successful campaigns, have a vast knowledge of SEO tools, experience in all SEO aspects (content, technical, digital PR), and will be able to use Google Suite of tools efficiently.
Responsibilities will include:

  • Experience working with tools such as Screaming Frog, Google Analytics, Google Search Console, GTM and Majestic/Ahrefs/SEMRush. ‘
  • Experience with Google AdWords and Google Analytics.
  • Helping to create and deliver highly effective SEO plans that meet and exceed KPIs.
  • Developing, documenting, and implementing SEO best practices.
  • Carrying out SEO research and SEO Audits from a technical/content point of view.
  • Creating a calendar that draws in key potential clients that include - blog posts, whitepapers, reports, and infographics.
  • Researching content using ONS statistics, keyword data, and website analytics.
  • Preparing well-structured draft web pages using WordPress.
  • Optimising and editing website content for search engine optimisation (SEO) and conversion rate optimisation (CRO).
  • Writing and distributing press releases based on in-house research.
    Please apply now below or contact Jay at Poolhall Recruitment. By applying for this role, you are agreeing to Poolhall Recruitment Ltd's Data Protection Policy which can be found on our website

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.