17,556 Verified Artificial Intelligence (AI) Jobs - October 2026
Explore AI jobs across roles tied to machine learning, applied research, data science, product development, engineering, operations, and AI-focused support. Listings may include remote, hybrid, and on-site opportunities, with responsibilities ranging from model work and analytics to building AI-enabled products and workflows. Create an account to explore the full job feed and auto-apply with LiftmyCV AI Agent.
Data Scientist – Applied AI & Prompt Engineering
В офісіBlend360 is seeking a Data Scientist specializing in Applied AI and Prompt Engineering to drive innovation in Generative AI. The role involves designing, building, and deploying LLM-powered solutions, collaborating cross-functionally with…
Опубліковано 3 тиж. тому
AI/ML Engineer, Internal Platforms
ВіддаленоJob Title: AI/ML Engineer, Internal Platforms Job Type: Full Time Location: Remote About the hiring company: Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. By combining…
Опубліковано 2 тиж. тому
Junior AI/ML Engineer - Python Developer
ВіддаленоAbout the Role We are seeking an AI/ML Engineer - python developer to join our software development team. You will work on challenging international projects, using cutting-edge technology to deliver ML and AI solutions for major international public…
Опубліковано 1 тиждень тому
Applied AI/ML Engineer
ВіддаленоFutureProofing seeks a Remote Applied AI/ML Engineer to enhance AI-driven products for startups in LATAM. This role supports both part-time and full-time engagements. The ideal candidate will work on improving AI systems using modern…
Опубліковано 4 тиж. тому
AI/ML Engineer
ВіддаленоWe are seeking an AI Engineer to join our dynamic team and contribute to the development and enhancement of our AI-driven platforms. The ideal candidate will possess deep technical expertise in machine learning and artificial intelligence,…
Опубліковано 2 дн. тому
AI/ML Engineer
ГібридноBuild the AI therapist that delivers end-to-end CBT to patients in the US: live, clinically supervised, and measured on whether people actually get better. About Limbic Limbic’s vision is to ensure the highest quality therapy is accessible to everyone,…
Опубліковано 3 дн. тому
AI/ML Engineer
ГібридноNode.Digital is seeking a talented AI/ML Engineer to join their innovative team. The ideal candidate will be responsible for architecting and maintaining intelligent automation solutions utilizing generative AI and machine learning. This hybrid role is…
Опубліковано 4 дн. тому
AI/ML Engineer
В офісіJoin Envision Employment Solutions as an AI/ML Engineer, where you will design, develop, test, and support enterprise AI and machine learning solutions. Your role will involve building AI assistants, integrating components with enterprise data…
Опубліковано 1 тиждень тому
AI/ML Engineer
В офісіRockwell Automation is seeking an experienced AI/ML Engineer to design, build, and deploy machine learning models and systems that address real business challenges. This role emphasizes modern generative AI technologies, including…
Опубліковано 1 тиждень тому
AI/ML Engineer
ВіддаленоJoin Melotech, a groundbreaking company in media and entertainment, as an AI/ML Engineer. In this role, you'll develop and deploy machine learning models for millions of users, optimizing performance for diverse media datasets. Collaborate with a…
Опубліковано 1 тиждень тому
AI/ML Engineer
В офісіAbout Future Works Future Works is a US-focused, AI-native professional services firm building operational AI and data systems. Our foundation beliefs are simple: optimization lowers need for resources, which increases sustainability and…
Опубліковано 1 тиждень тому
AI/ML Engineer
В офісіAppZen is seeking an AI/ML Engineer with 1–3 years of experience to join its AI team. The role involves building and shipping LLM-powered features for financial decision-making, developing retrieval pipelines, and implementing API integrations.…
Опубліковано 1 тиждень тому
AI/ML Engineer
В офісіTeam / Opportunity: Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyze data, learn patterns, and make data-driven predictions or decisions without…
Опубліковано 1 тиждень тому
AI/ML Engineer
В офісіAbbott, a leading global healthcare company, is seeking an AI/ML Engineer for their innovative health platform. In this role, you will optimize and deploy machine learning models for mobile and wearable devices, ensuring real-time insights for users.…
Опубліковано 1 тиждень тому
AI/ML Engineer
ANYClera is seeking an AI/ML Engineer to enhance the reliability of production AI agents. The role involves detecting subtle failures, utilizing user behavior to identify issues, and developing evaluation methods in the absence of ground truth. Ideal…
Опубліковано 1 тиждень тому
Як LiftmyCV допомагає з пошуком AI Jobs
LiftmyCV поєднує AI-збіг, генерацію резюме та автоподання заявок, щоб спростити кожен етап вашого пошуку роботи ai jobs — від пошуку до співбесіди.
Знаходьте AI Jobs серед 17,556+ вакансій
AI сканує мільйони оголошень на 10+ сайтах вакансій і показує найрелевантніші ролі для вашого профілю.
Learn more →Створюйте матеріали під конкретні вакансії AI Jobs
Автоматично генерує адаптовані резюме та супровідні листи відповідно до кожного опису вакансії та вимог ATS.
Learn more →Автоматично подавайте заявки та автоматизуйте відгуки на AI Jobs
Налаштуйте свої вподобання та дозвольте AI-агенту автоматично подавати заявки на відповідні вакансії з повним відстеженням і контролем.
Learn more →
AI Jobs Salary Data (October 2026)
This section summarizes salary information from 17,556+ active AI job postings, including roles across machine learning, research, data science, product, engineering, and applied AI functions where pay details are available.
Середня зарплата
$134k
$165k
$218k
25th
50th
75th
На основі 17,556 ролей, які зараз відстежує LiftmyCV. Востаннє оновлено Oct 19, 2026
Salary Distribution
На основі 17,556 ролей, які зараз відстежує LiftmyCV. Востаннє оновлено Oct 19, 2026
| Experience Level | 25th Percentile | Median (50th) | 75th Percentile | Sample Size |
|---|---|---|---|---|
| Overall | $133,625 | $165,075 | $217,850 | 17,556 |
| Entry-Level | $58,232 | $102,755 | $128,400 | 21 |
| Mid-Level | $129,805.25 | $159,325 | $211,500 | 84 |
| Senior-Level | $158,700 | $185,000 | $230,100 | 115 |
"AI jobs in 2026 are spreading across more than model research. I’m seeing employers separate pure machine learning work from AI product, data infrastructure, evaluation, safety, and applied engineering roles. The resume that works best is usually precise about the lane: what systems were built, what models or data pipelines were handled, and where the work moved from prototype to production. Vague AI enthusiasm doesn’t carry much weight once the interview loop starts."
Marina's Market Take
Senior HR Leader & Lead Tech Recruiter
How to Land an AI Job in 2026
AI jobs in 2026 cover several lanes, so your first task is to position yourself clearly. A machine learning engineer application should read differently from an AI product manager application, and both should look different from a data scientist, research scientist, MLOps engineer, or AI operations role. Employers reviewing AI candidates usually need to see where you fit in the workflow: building models, evaluating outputs, deploying systems, translating user needs, managing data pipelines, or improving applied AI products.
For technical AI roles, emphasize shipped work over vague model exposure. Point to projects where you trained, fine-tuned, evaluated, deployed, monitored, or improved AI systems. Name the tools and methods that match the role, such as Python, PyTorch, TensorFlow, SQL, vector databases, model evaluation, LLM workflows, retrieval systems, data labeling, or cloud deployment. If the role leans research, show publications, experiments, benchmarks, or applied prototypes. If it leans production, show reliability, latency, cost, monitoring, and handoff to engineering teams.
For non-engineering AI roles, make the connection between AI systems and business use cases explicit. AI product managers should show product judgment, roadmap tradeoffs, customer discovery, experimentation, and collaboration with data or engineering teams. AI analysts and operations candidates should highlight workflow design, quality review, prompt testing, documentation, vendor evaluation, and measurable process improvements. The most useful applications make it easy to see the AI problem, the tools involved, your role, and the result.
- Pick a lane: target titles that match your strongest evidence, such as machine learning engineer, AI product manager, data scientist, research scientist, MLOps engineer, or AI operations specialist.
- Match the posting’s AI stack: mirror the listed tools, model types, deployment environment, and evaluation requirements only when you have real experience with them.
- Prioritize applied proof: link to projects, case studies, demos, papers, GitHub work, or product launches that show how you used AI in practice.
LiftmyCV helps you find AI jobs that match your skills, experience, and preferred work style, then auto-apply to relevant roles faster.
Required Skills
Resume Tips
For AI jobs, keep the resume centered on the kind of AI work you actually do. Machine learning engineers should show model deployment, Python, PyTorch, TensorFlow, Docker, cloud platforms, and MLOps tools such as MLflow or Kubernetes. Data scientists should emphasize experimentation, SQL, feature work, evaluation methods, and business-facing analysis. AI product managers can lead with model-enabled product launches, user workflows, risk tradeoffs, and cross-functional delivery. Governance, safety, and compliance candidates should show policy reviews, audit support, model documentation, privacy work, or controls tied to AI systems.
Cut vague claims like “passionate about artificial intelligence,” long coursework lists, and tool dumps that aren’t connected to projects. If you mention LLMs, RAG, vector databases, prompt evaluation, LangChain, OpenAI API, Hugging Face, AWS, Azure, or GCP, connect each one to a shipped project, research result, production workflow, or measurable decision.
- Weak: “Worked on AI models and helped improve performance.”
- Strong: “Built a PyTorch classification model, improved F1 score from 0.71 to 0.82, and deployed batch inference with Docker for weekly operations reporting.”
Certifications such as AWS Machine Learning, Google Professional Machine Learning Engineer, Azure AI Engineer, or security and privacy credentials can help when they support the job description, but they shouldn’t replace project evidence. LiftmyCV helps you create an ATS-friendly AI jobs resume tailored to each job, so your skills and experience better match what employers are looking for.
How to Prepare for Interviews
AI job interviews in 2026 can vary sharply by lane, so prepare around the work you actually want to do. For machine learning engineering, expect technical screens on Python, model evaluation, data pipelines, and tradeoffs between accuracy, latency, and cost. A common format is a system design prompt such as designing a retrieval-augmented search feature, then explaining data flow, model choice, monitoring, and failure modes.
For applied research or data science roles, build examples around experiments, baselines, metrics, and why a model did or didn’t improve production outcomes. Product, operations, and compliance-focused AI roles may lean on case prompts: evaluating an AI feature, writing an adoption plan, reviewing model risk, or explaining policy constraints to non-technical stakeholders.
Bring specific project stories with measurable context: dataset size, evaluation metric, deployment environment, annotation workflow, or business constraint. If you have a portfolio, include notebooks, demos, model cards, case studies, or architecture diagrams that show judgment, not just polished outputs.