Freelance Technical Editor

accelerate agency

Bath

8 months ago

Applications closed

Related Jobs

View all jobs

Marketing Data Analyst - 3 MTH FTC

This is a remote position

We are looking for a talented technical editor to join our thriving agency and work with an expanding portfolio of prominent SaaS brands. We need someone who understands and can confidently edit technical copy, specialising in AI-related topics.

We pay Technical Editors between £250-420 per day, depending on experience. Working days are 7.5 hours.

About you

As our technical editor, you will be responsible for creating content outlines for our writers to follow, specifically for our technical clients. You will also be responsible for editing, proofreading, and writing content to the highest standards. You will review all content against briefs, client instructions, and specific guidelines, as well as provide constructive feedback to writers in order to improve content.

You will also conduct research on various topics to verify accuracy, optimise content based on SEO best practices and collaborate effectively with the team in a virtual setting. Prior SEO experience is a bonus, not a requirement; we can upskill you on SEO if required.

To be a success in this role, you will need to have:

A strong understanding of AI concepts, including LLMs, MLops, Generative AI, and Machine Learning
Familiarity with AI tools and platforms
Strong data literacy skills, for example, understanding of datasets
Practical knowledge of programming is a bonus
Exceptional proofreading and editing skills

Qualifications

At least 3 years of experience creating technical content, minimum of 2 years within AI
A degree in a relevant field, for example, computer science or artificial intelligence
Extensive experience creating AI-, machine learning-, or data science-related content
Strong understanding of AI frameworks, algorithms, and technologies (e.g., TensorFlow, PyTorch, GPT models)
Awareness of emerging AI technologies and industry applications
Experience in building and deploying AI/ML models would be a bonus

How to Apply:

To apply and help us assess your compatibility, we ask all prospective candidates to submit their CV and availability with the role they’re applying for in the subject line – anticipating further instructions from accelerate agency.

If you are a match for this role, we will email you to arrange a screening call. If you pass the screening call, this will be followed by a short test.

We are an equal opportunities employer and welcome applications from all different backgrounds. For us to be able to give you the best interview experience possible, please let us know in advance if you require any reasonable adjustments to the application or interview process and we will gladly see how we can accommodate them.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Sep 11, 2025

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Sep 5, 2025

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Aug 31, 2025

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.