{"id":1370,"date":"2026-08-06T17:35:12","date_gmt":"2026-08-06T12:05:12","guid":{"rendered":"https:\/\/www.brandingx.net\/blog\/?p=1370"},"modified":"2026-08-08T08:07:53","modified_gmt":"2026-08-08T02:37:53","slug":"complete-guide-to-hire-ai-developers","status":"publish","type":"post","link":"https:\/\/www.brandingx.net\/blog\/complete-guide-to-hire-ai-developers\/","title":{"rendered":"A Complete Guide to Hire AI Developers: Fast, Reliable AI Talent for Your Business"},"content":{"rendered":"<p>Finding the right AI talent has become one of the harder recruitment problems British businesses face. Whether you are building a customer-facing chatbot, an internal automation tool or a predictive model that sits behind your operations, the quality of the people you bring in decides whether the project ships or quietly stalls.<\/p>\n<p>This guide to hire AI developers in the UK covers the practical detail: what the market looks like, which hiring model suits your situation, what you should expect to pay in pounds, the skills that genuinely matter, and the legal and compliance points that catch UK organisations out.<\/p>\n<p>It is written for founders, CTOs, product leads and operations managers who need to make a hiring decision soon and want more than a list of buzzwords to work from.<\/p>\n<h2>Why UK Businesses Are Hiring AI Developers Now<\/h2>\n<p>AI has become a serious contributor to <a href=\"https:\/\/www.brandingx.net\/blog\/why-branding-matters-modern-entrepreneurship\/\">business growth<\/a> across British industry, and the pressure is coming from two directions at once. Customers now expect faster responses and more personalised experiences, while internal teams are looking for ways to reduce manual work without adding headcount.<\/p>\n<p>The problem is that traditional recruitment cycles were not built for this. A permanent hire in the UK typically takes eight to twelve weeks from advert to start date, longer once you factor in notice periods, which in senior engineering roles often run to three months.<\/p>\n<p>For a project with a board-approved deadline, that timeline is frequently unworkable. It is one reason a growing number of organisations choose to <a target=\"_blank\" rel=\"noopener external\" href=\"https:\/\/www.iihglobal.com\/hire-ai-developer\/\">hire AI developers in 24 hours<\/a> through established AI development partners rather than running a full recruitment process from scratch.<\/p>\n<p><strong>Faster access to AI talent allows a business to:<\/strong><\/p>\n<ul>\n<li>Start development while the commercial case is still current<\/li>\n<li>Avoid competing head-on for scarce permanent candidates<\/li>\n<li>Scale a team up or down as the project scope changes<\/li>\n<li>Test an idea properly before committing to permanent headcount<\/li>\n<li>Bring in specialist knowledge that no one currently on the team holds<\/li>\n<\/ul>\n<h2>What Can AI Developers Actually Build?<\/h2>\n<p>The term &#8220;AI developer&#8221; covers a wide span of work. Being specific about what you want built will save you a great deal of time when you start shortlisting.<\/p>\n<table>\n<thead>\n<tr>\n<th>AI Solution<\/th>\n<th>Business Benefit<\/th>\n<th>Typical First Project Size<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>AI Chatbots<\/td>\n<td>Round-the-clock customer support and enquiry handling<\/td>\n<td>4 to 8 weeks<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/www.brandingx.net\/generative-ai-consulting-services\/\">Generative AI<\/a> Applications<\/td>\n<td>Content generation, drafting and document automation<\/td>\n<td>6 to 12 weeks<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/www.brandingx.net\/blog\/ai-data-centers-ai-search-llms-ai-agents\/\">AI Agents<\/a><\/td>\n<td>Autonomous multistep task execution<\/td>\n<td>8 to 16 weeks<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/www.brandingx.net\/blog\/deepseek-ai-surpasses-chatgpt-gemini-benchmarks\/\">Machine Learning<\/a> Models<\/td>\n<td>Data-driven forecasting and prediction<\/td>\n<td>8 to 16 weeks, data dependent<\/td>\n<\/tr>\n<tr>\n<td>Recommendation Systems<\/td>\n<td>Personalised customer experiences and higher basket value<\/td>\n<td>6 to 12 weeks<\/td>\n<\/tr>\n<tr>\n<td>Computer Vision<\/td>\n<td>Image, video and document analysis<\/td>\n<td>8 to 16 weeks<\/td>\n<\/tr>\n<tr>\n<td>Natural Language Processing<\/td>\n<td>Text understanding, classification and routing<\/td>\n<td>4 to 10 weeks<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Timescales here are indicative and assume a defined scope and reasonably clean data. Projects that require data cleansing or integration with legacy systems commonly take considerably longer, and that groundwork is where most budgets overrun.<\/p>\n<p><strong>Also Read<\/strong>:\u00a0<a target=\"_blank\" rel=\"noopener external\" href=\"https:\/\/brandingx.co.uk\/blog\/azure-ai-cloud-developer-associate\/\">What Is Azure AI Cloud Developer Associate?<\/a><\/p>\n<h2>Hiring Models Compared: Which Suits Your Business?<\/h2>\n<p>Most UK organisations have four realistic routes. There is no single correct answer; the right choice depends on how long the work lasts, how much internal capability you already have and how quickly you need to move.<\/p>\n<table>\n<thead>\n<tr>\n<th>Model<\/th>\n<th>Best for<\/th>\n<th>Time to start<\/th>\n<th>Main drawback<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Permanent in-house hire<\/td>\n<td>Long-term AI capability that becomes core to the product<\/td>\n<td>8 to 16 weeks including notice periods<\/td>\n<td>Slow, competitive and expensive to get wrong<\/td>\n<\/tr>\n<tr>\n<td>UK contractor<\/td>\n<td>Defined projects of three to twelve months<\/td>\n<td>2 to 6 weeks<\/td>\n<td>Day rates are high and IR35 status must be assessed<\/td>\n<\/tr>\n<tr>\n<td>Dedicated developers through an AI development company<\/td>\n<td>Fast starts, specialist skills, flexible team size<\/td>\n<td>Days rather than weeks<\/td>\n<td>Requires clear scoping and good communication discipline<\/td>\n<\/tr>\n<tr>\n<td>Full project outsourcing<\/td>\n<td>One-off builds where you do not want to manage delivery<\/td>\n<td>2 to 4 weeks<\/td>\n<td>Less day-to-day control and potential knowledge loss at handover<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>A pattern that works well for many British SMEs is a hybrid: one permanent technical lead who owns architecture and standards internally, supported by dedicated developers who scale with the workload. You keep institutional knowledge in-house without carrying a full team through quieter periods.<\/p>\n<h2>What It Costs to Hire AI Developers in the UK<\/h2>\n<p>Cost is usually the question that determines everything else, so it is worth setting realistic expectations. The figures below are broad indicative ranges for the UK market and vary considerably by location, sector and specialism.<\/p>\n<p>London and the South East command a clear premium, while Manchester, Leeds, Bristol, Glasgow and Belfast typically sit below it. Always benchmark against current market data before committing to a budget.<\/p>\n<table>\n<thead>\n<tr>\n<th>Engagement Type<\/th>\n<th>Indicative UK Range<\/th>\n<th>Notes<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Junior AI or ML developer (permanent)<\/td>\n<td>Around \u00a335,000 to \u00a350,000<\/td>\n<td>Needs supervision from a senior engineer to be productive<\/td>\n<\/tr>\n<tr>\n<td>Mid-level AI developer (permanent)<\/td>\n<td>Around \u00a355,000 to \u00a380,000<\/td>\n<td>The most competitive band in the current market<\/td>\n<\/tr>\n<tr>\n<td>Senior or lead AI engineer (permanent)<\/td>\n<td>Around \u00a385,000 to \u00a3120,000 and above<\/td>\n<td>London and financial services push well beyond this<\/td>\n<\/tr>\n<tr>\n<td>UK contractor day rate<\/td>\n<td>Around \u00a3450 to \u00a3800 per day<\/td>\n<td>Depends heavily on specialism and IR35 determination<\/td>\n<\/tr>\n<tr>\n<td>Dedicated developer through a partner<\/td>\n<td>Typically monthly, quoted per developer<\/td>\n<td>Often the lowest total cost for short and medium engagements<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Remember that the salary is not the whole cost of a permanent hire. Employer National Insurance, pension contributions, recruitment fees of fifteen to twenty five per cent, equipment, software licences and onboarding time all sit on top.<\/p>\n<p>When you build the comparison properly, the gap between a permanent hire and a dedicated developer arrangement is usually narrower than it first appears, and the flexibility difference is substantial.<\/p>\n<h2>What Skills Should You Look For?<\/h2>\n<p>Speed of hiring matters, but technical judgement matters more. Look for developers with practical, demonstrable experience across the following areas rather than a long list of tools they have merely read about.<\/p>\n<h3>Programming Languages<\/h3>\n<ul>\n<li>Python<\/li>\n<li>JavaScript or TypeScript<\/li>\n<li>SQL<\/li>\n<\/ul>\n<h3>AI and Machine Learning Frameworks<\/h3>\n<ul>\n<li>TensorFlow<\/li>\n<li>PyTorch<\/li>\n<li>Scikit-learn<\/li>\n<\/ul>\n<h3>LLM and Generative AI Technologies<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.brandingx.net\/blog\/ai-data-centers-ai-search-llms-ai-agents\/\">Large Language Models (LLMs)<\/a><\/li>\n<li><a href=\"https:\/\/www.brandingx.net\/blog\/ai-data-center-companies-in-usa\/\">Generative AI<\/a> application patterns<\/li>\n<li>OpenAI, Claude and Gemini APIs<\/li>\n<li>LangChain and LlamaIndex<\/li>\n<li>Retrieval-augmented generation and vector databases<\/li>\n<\/ul>\n<h3>Cloud Platforms<\/h3>\n<ul>\n<li>Amazon Web Services<\/li>\n<li>Microsoft Azure<\/li>\n<li>Google Cloud Platform<\/li>\n<\/ul>\n<h3>Engineering Skills That Are Easy to Overlook<\/h3>\n<ul>\n<li>API development and integration with existing systems<\/li>\n<li>Model deployment and MLOps<\/li>\n<li>Data engineering and pipeline design<\/li>\n<li>Monitoring, logging and cost control<\/li>\n<li>AI security, including prompt injection and data leakage risks<\/li>\n<\/ul>\n<p>That final group separates developers who can build a convincing demonstration from those who can run something in production. Plenty of AI prototypes work beautifully in a controlled test and then fail on real customer data, unpredictable load or an unexpected API outage. Ask specifically about production experience.<\/p>\n<h2>How the Hiring Process Works Step by Step<\/h2>\n<p>Most established AI development firms follow a broadly similar onboarding sequence. Knowing the shape of it helps you prepare and move quickly.<\/p>\n<h3>Step 1: Share Your Requirements<\/h3>\n<p>Set out the problem you are solving, the technologies you already use, your timeline and your preferred engagement model. The single most useful thing you can provide is a description of what success looks like in business terms, not just technical ones.<\/p>\n<h3>Step 2: Developer Selection<\/h3>\n<p>The partner matches developers whose experience fits your brief. Ask to see relevant project examples rather than generic CVs, and ask who specifically will be working on your build.<\/p>\n<h3>Step 3: Interview the Developers<\/h3>\n<p>Assess technical depth, communication and comparable project experience. Insist on speaking to the actual developers rather than only an account manager. Communication quality matters as much as technical skill when the team is distributed.<\/p>\n<h3>Step 4: Agree Contracts, NDA and IP Terms<\/h3>\n<p>Put confidentiality and intellectual property assignment in writing before any work starts. This is covered in more detail below, and it is the stage British businesses most often rush.<\/p>\n<h3>Step 5: Onboard and Set the Rhythm<\/h3>\n<p>Agree working hours overlap, communication channels, sprint cadence and how progress will be demonstrated. Two weeks of clear structure at the start prevents most of the problems that surface at week eight.<\/p>\n<h2>How to Assess AI Developers Properly<\/h2>\n<p>Interviews for AI roles go wrong when they become a quiz on framework syntax. The questions that actually predict performance are about judgement and past decisions:<\/p>\n<ul>\n<li>Describe an AI project you shipped to real users. What broke first?<\/li>\n<li>How did you decide between fine-tuning a model and using retrieval instead?<\/li>\n<li>What did the solution cost to run per month, and how did you bring that down?<\/li>\n<li>How did you evaluate whether the output was good enough to release?<\/li>\n<li>Tell me about an AI project that did not work. What was the reason?<\/li>\n<\/ul>\n<p>A strong candidate answers these with specifics, including the trade-offs they accepted. A weak one stays general. If you do set a technical task, keep it to a few hours of work, make it resemble your real problem and pay for the candidate&#8217;s time if it goes beyond that.<\/p>\n<h2>Legal and Compliance Points for UK Employers<\/h2>\n<p>This is where hiring in the UK differs meaningfully from hiring elsewhere, and it deserves attention before contracts are signed rather than after.<\/p>\n<h3>IR35 and Off-Payroll Working<\/h3>\n<p>If you engage a UK contractor through their own limited company, off-payroll working rules may apply and the responsibility for determining status usually sits with the client rather than the contractor, other than for small companies as defined in legislation. Getting a determination wrong carries tax liability. Take professional advice on your specific arrangement rather than relying on a template.<\/p>\n<h3>UK GDPR and Data Protection<\/h3>\n<p>Any AI system touching personal data falls under UK GDPR and the oversight of the Information Commissioner&#8217;s Office. Establish early where data will be processed and stored, whether personal data will be sent to third-party model providers, and whether a Data Protection Impact Assessment is required. If your solution makes automated decisions that significantly affect individuals, the requirements are stricter again.<\/p>\n<h3>Intellectual Property Assignment<\/h3>\n<p>Employees&#8217; work is generally owned by the employer by default, but contractors and agencies are a different matter. Written assignment of IP should be explicit in the contract, and it should cover code, models, prompts, training data and documentation.<\/p>\n<h3>Right to Work and Visas<\/h3>\n<p>For permanent hires, right-to-work checks are a legal obligation. If you intend to sponsor overseas talent, you will need a sponsor licence and should look at the Skilled Worker and Global Talent routes on gov.uk, as requirements and salary thresholds change periodically. This is a significant reason many UK businesses choose partner-based hiring for their first AI project.<\/p>\n<h3>Confidentiality<\/h3>\n<p>An NDA signed before detailed project discussions is standard practice and protects both parties. Reputable AI development companies will expect it and often propose it themselves.<\/p>\n<h2>Why Hire Dedicated AI Developers?<\/h2>\n<p>The dedicated model, where developers work exclusively on your project but are employed by a partner, has become popular with British startups, SMEs and enterprises alike. The advantages are practical rather than theoretical:<\/p>\n<ul>\n<li>Full control over priorities and the backlog<\/li>\n<li>Direct communication with the people writing the code<\/li>\n<li>Flexible commitment length without permanent headcount risk<\/li>\n<li>Shorter time from decision to first line of code<\/li>\n<li>Straightforward expansion when the project scales<\/li>\n<li>Transparent progress through shared repositories and sprint reviews<\/li>\n<\/ul>\n<p>It suits organisations building custom <a href=\"https:\/\/www.brandingx.net\/ai-development-company-india\/\">AI solutions<\/a> where the requirement is clear but the internal capability is not yet in place. It suits less well where the work is exploratory research with no defined outcome, or where regulatory constraints require all processing to remain with directly employed UK staff.<\/p>\n<h2>Industries Hiring AI Developers Across the UK<\/h2>\n<p>Demand is not evenly spread, and the use cases differ by sector.<\/p>\n<h3>Healthcare and Life Sciences<\/h3>\n<ul>\n<li>Clinical documentation and administrative automation<\/li>\n<li>Patient support and triage assistants<\/li>\n<li>Research and clinical data analysis<\/li>\n<\/ul>\n<h3>Financial Services and Fintech<\/h3>\n<ul>\n<li>Fraud detection and transaction monitoring<\/li>\n<li>Risk assessment and credit decisioning support<\/li>\n<li>Intelligent document processing for onboarding and compliance<\/li>\n<\/ul>\n<h3>Retail and E-commerce<\/h3>\n<ul>\n<li>Product recommendations and search relevance<\/li>\n<li>AI shopping assistants<\/li>\n<li>Customer behaviour analytics and demand planning<\/li>\n<\/ul>\n<h3>Logistics and Transport<\/h3>\n<ul>\n<li>Route optimisation<\/li>\n<li>Warehouse automation<\/li>\n<li>Demand forecasting<\/li>\n<\/ul>\n<h3>Manufacturing and Engineering<\/h3>\n<ul>\n<li>Predictive maintenance<\/li>\n<li>Automated quality inspection<\/li>\n<li>Production and yield optimisation<\/li>\n<\/ul>\n<h2>Common Mistakes UK Businesses Make<\/h2>\n<ul>\n<li><strong>Hiring before defining the problem.<\/strong> &#8220;We need AI&#8221; is not a brief. Developers cannot scope work that has no measurable outcome attached to it.<\/li>\n<li><strong>Underestimating the data work.<\/strong> A large share of most AI projects is data preparation and integration. Budget for it explicitly.<\/li>\n<li><strong>Ignoring running costs.<\/strong> Model inference, vector storage and cloud compute produce a monthly bill that grows with usage. Ask for a cost estimate at expected volume.<\/li>\n<li><strong>Skipping evaluation.<\/strong> Without a defined way to measure output quality, you have no basis for deciding whether the system is ready to release.<\/li>\n<li><strong>Treating the pilot as the finish line.<\/strong> Moving from a working prototype to a supported production system is usually the larger half of the effort.<\/li>\n<li><strong>No handover plan.<\/strong> Agree from day one who maintains the system, where the documentation lives and how knowledge transfers to your team.<\/li>\n<\/ul>\n<h2>Checklist Before You Hire AI Developers<\/h2>\n<ul>\n<li>Review a portfolio of comparable AI projects, ideally with measurable outcomes<\/li>\n<li>Verify hands-on experience with LLMs and <a href=\"https:\/\/www.brandingx.net\/blog\/ai-data-center-companies-in-usa\/\">generative AI<\/a>, not just classical <a href=\"https:\/\/www.brandingx.net\/blog\/deepseek-ai-surpasses-chatgpt-gemini-benchmarks\/\">machine learning<\/a><\/li>\n<li>Confirm production deployment experience rather than prototype work alone<\/li>\n<li>Agree communication channels, reporting cadence and working-hours overlap<\/li>\n<li>Put NDA and IP assignment in place before detailed discussions<\/li>\n<li>Clarify where data will be processed and how UK GDPR obligations are met<\/li>\n<li>Check how the team scales if the scope grows<\/li>\n<li>Agree post-launch support, maintenance and documentation standards<\/li>\n<li>Understand the pricing model, including what triggers additional cost<\/li>\n<li>Confirm time zone compatibility and named points of contact<\/li>\n<\/ul>\n<h2>Conclusion<\/h2>\n<p>Hiring well for AI is less about finding someone who knows the latest framework and more about finding people who have shipped working systems, understand the trade-offs and can explain their reasoning in plain language.<\/p>\n<p>This guide to hire AI developers in the UK has covered the models available, realistic budgets in sterling, the skills that predict success and the compliance points that are easy to miss.<\/p>\n<p>Whether you are building a customer chatbot, an <a href=\"https:\/\/www.brandingx.net\/blog\/ai-tools-drive-innovation-business-operations\/\">intelligent automation<\/a> system or a bespoke AI application, the decision that matters most is made before any code is written: define the problem precisely, choose the engagement model that matches your timeline and internal capability, and put the legal groundwork in place early. Do that, and the technical delivery becomes a far more predictable exercise.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How quickly can I hire AI developers in the UK?<\/h3>\n<p>It depends entirely on the route. A permanent hire typically takes eight to sixteen weeks once notice periods are counted. A UK contractor might start within two to six weeks. Working with an AI development company that maintains a pool of vetted developers, onboarding can happen within days, since the screening has already been done.<\/p>\n<h3>How much does it cost to hire an AI developer in the UK?<\/h3>\n<p>Permanent salaries commonly sit between roughly \u00a335,000 for junior roles and \u00a3120,000 or more for senior and lead engineers, with a clear London premium. Contractor day rates frequently fall in the \u00a3450 to \u00a3800 range. These are indicative figures only and shift with the market, so benchmark against current data before setting a budget.<\/p>\n<h3>Which technologies should a UK AI developer know?<\/h3>\n<p>Python is the baseline, alongside frameworks such as TensorFlow and PyTorch, LLM tooling including OpenAI, Claude and Gemini APIs, LangChain or LlamaIndex, vector databases, and at least one major cloud platform. Practical experience with deployment, monitoring and API integration matters as much as familiarity with the models themselves.<\/p>\n<h3>Should I hire in-house, use a contractor or work with an AI development company?<\/h3>\n<p>Hire in-house when AI becomes a permanent part of your product and you can afford the recruitment timeline. Use a contractor for a defined project of three to twelve months, bearing IR35 in mind. Work with a development partner when you need to start quickly, want flexible team size, or lack the internal capability to supervise a junior hire effectively.<\/p>\n<h3>Do I need to worry about IR35 when hiring AI developers?<\/h3>\n<p>If you engage a contractor operating through their own limited company, off-payroll working rules may apply and the client is usually responsible for the status determination, subject to the small company exemption. Because the tax consequences of getting it wrong sit with the business, take professional advice on your particular arrangement.<\/p>\n<h3>Can I hire AI developers for short-term or temporary projects?<\/h3>\n<p>Yes. Short-term engagements are common, particularly for proof-of-concept builds and fixed-scope integrations. Dedicated developer arrangements and contractors both handle this well, whereas permanent recruitment rarely makes commercial sense for work under six months.<\/p>\n<h3>Are AI developers covered by an NDA?<\/h3>\n<p>Reputable AI development companies operate under NDAs as standard and will normally sign one before detailed project discussions begin. Ensure the agreement also covers intellectual property assignment for code, models, prompts and documentation, since confidentiality alone does not transfer ownership.<\/p>\n<h3>How do I protect customer data when using external AI developers?<\/h3>\n<p>Establish where data will be stored and processed, whether personal data is sent to third-party model providers, and what access controls apply. Under UK GDPR you may need a Data Protection Impact Assessment, and appropriate contractual terms should be in place with any processor. Where possible, use anonymised or synthetic data during development.<\/p>\n<h3>Is hiring dedicated AI developers suitable for a UK startup?<\/h3>\n<p>For most early-stage companies, yes. It gives access to specialist skills without the cost and risk of permanent headcount, and the team can scale with funding milestones. The main requirement is clear scoping and someone internally with enough technical understanding to direct the work sensibly.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hiring AI talent in Britain involves more than a job advert. This complete guide to hire AI developers in the UK compares in-house, contractor and dedicated hiring models, sets out realistic salary and day-rate expectations, explains the skills that actually predict success, and covers the IR35, UK GDPR and IP points every business should settle before work begins.<\/p>\n","protected":false},"author":2,"featured_media":1371,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[513],"tags":[467,540,546,545,180,543,90,544,542,541],"class_list":["post-1370","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-ai-development","tag-ai-recruitment","tag-ai-solutions","tag-ai-talent","tag-business-growth","tag-dedicated-developers","tag-generative-ai","tag-ir35","tag-machine-learning-engineers","tag-uk-tech-hiring"],"_links":{"self":[{"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/posts\/1370","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/comments?post=1370"}],"version-history":[{"count":6,"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/posts\/1370\/revisions"}],"predecessor-version":[{"id":1378,"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/posts\/1370\/revisions\/1378"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/media\/1371"}],"wp:attachment":[{"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/media?parent=1370"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/categories?post=1370"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.brandingx.net\/blog\/wp-json\/wp\/v2\/tags?post=1370"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}