Betting Writer

Footballco
Bristol
2 months ago
Applications closed

Related Jobs

View all jobs

CRM Data Strategy Analyst

Head of SEO & ASO (Basé à London)

Remote Travel Business Development / Sales Coach - World #1 Franchise

Remote Travel Business Development / Sales Coach - World #1 Franchise

Remote Travel Business Development / Sales Coach - World #1 Franchise

Remote Travel Business Development / Sales Coach - World #1 Franchise

Footballco is the world's leading football media company, built for the next generation of fans. Our mission is to give fans more of the game by building football communities that entertain, inform, and inspire action. We cover everything in football from news and analysis, original reporting, and social media content, to web stores, video, podcasts, newsletters, and live scores. With over 4 billion video views per month, 130 million social followers globally, and a reach of 800 million across web, social, and video platforms, Footballco is the world’s largest football media company and one of the largest digital media companies in sport globally.


About the Role


We’re looking for experienced writers to create football betting content for our Goal.com betting section.


Successful writers will deliver thought-provoking football betting insights and have a strong grasp of the betting landscape, including which operators, offers and features resonate with our audience.


We are looking for writers for the following editions:


  • UK
  • France
  • Italy
  • Spain
  • Brazil
  • Argentina
  • India
  • South Africa
  • Nigeria
  • Ghana
  • Kenya


What You'll be doing:


Writers will create original, well-researched and entertaining content in line with the latest SEO considerations.


Content will be a split of betting insights and predictions for major matches (including local leagues) and articles promoting betting operators and offers.


  • Research and write content based on topics and suggestions from our editorial team
  • Remain up to date with the latest sporting trends
  • Ensure the timely delivery of all content assignments in line with the agreed content plan
  • Ensure that all delivered content is accurate, well-written, grammatically correct and free from factual errors - all delivered content should be ready to publish
  • Monitor betting markets and trends to ensure content provides real value to the reader


What You Have:


We must be a football and betting enthusiasts and able to create engaging content for our football-savvy audience.


  • A wealth of football insight and knowledge on the major and local leagues
  • A strong knowledge of football betting terminology, markets and value selection
  • A creative spark and a flair for content creation - the ability to offer a different perspective or spin on topics
  • A strong knowledge of football data with the ability to objectively analyse trends and apply data insights to content
  • A good understanding of the betting landscape, including operators, offers and features
  • A proactive and reactive approach to work given the timely nature of the created content
  • Strong SEO skills with a working knowledge of best practices
  • Excellent writing, editing and proofreading skills


Footballco is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, colour, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category.

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.

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.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.