Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Freelance Technical Editor

accelerate agency
Maidstone
7 months ago
Applications closed

Related Jobs

View all jobs

Freelance Senior Data Engineer

Freelance Senior Data Engineer

Remote Work: Online Data Analyst - English Speakers living in United Kingdom

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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Careers

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

Machine learning (ML) has quickly become one of the most transformative forces in modern technology. What began as a subset of artificial intelligence—focused on algorithms that learn from data—has grown into a foundational capability across industries. From voice assistants and recommendation systems to fraud detection and predictive healthcare, machine learning underpins countless innovations shaping daily life. In the UK, demand for ML professionals has surged. Financial services, healthcare providers, retailers, and tech start-ups are investing heavily in ML talent. Roles like Machine Learning Engineer, Data Scientist, and AI Researcher are among the most sought-after and best-paid in the tech sector. Yet we are still only at the start. Advances in generative AI, quantum computing, edge intelligence, and ethical governance are reshaping the field. Many of the most critical machine learning jobs of the next 10–20 years don’t exist yet. This article explores why new careers will emerge, the kinds of roles likely to appear, how today’s jobs will evolve, why the UK is well positioned, and how professionals can prepare.

Jobs

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Jobs

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.