69,086 Verified Artificial Intelligence (AI) Jobs - July 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.

Live Status:
Jul 22, 2026
69,086+ Active Roles
Updated Daily
Misfits & Machines

AI Architect (Applied AI Engineer)

Remote
Misfits & MachinesUnited States

Misfits & Machines is seeking an AI Architect to design and build AI systems for their generative video platform. The ideal candidate will work closely with creative and product teams to translate ideas into working systems. Responsibilities include creating AI agent workflows, crafting intelligence, managing observability, and making architectural decisions. Candidates should have over five years of software engineering experience, particularly in LLM systems, and proficiency in TypeScript/JavaScript. The role focuses on practical implementation rather than management or pure research.

Posted 1 week ago

Benzinga

AI Machine Learning Engineer

Remote
BenzingaDetroit, MI

Benzinga is seeking an AI/Machine Learning Engineer to enhance financial data access through AI and machine learning. This role involves developing and deploying machine learning models, building APIs, and optimizing infrastructure. The ideal candidate should have extensive experience in AI/ML, strong programming skills, and the ability to work independently. Join Benzinga to shape the future of financial insights and operate in a high-trust, fully remote environment.

Posted today

Zaizi

Machine Learning Engineer, AI

Hybrid
ZaiziCheltenham, England, United Kingdom

As a Machine Learning Engineer at Zaizi, you'll engage in impactful public sector projects, applying machine learning models to solve complex challenges for the UK government. You'll work in a collaborative, high-performing team, continuously learning about AI technologies. This role combines research with practical application, making a positive difference in people's lives while contributing to a supportive and inclusive work culture.

Posted 1 day ago

Moonshot

AI/Machine Learning Engineer

Remote
MoonshotDublin, County Dublin, Ireland

Moonshot is committed to centering marginalized communities, including minority ethnic groups and the LGBTQIA+ population, in its mission to tackle online harms. They encourage diverse applicants and offer a unique opportunity for an AI/Machine Learning Engineer to join their Ireland-based development team. This role involves developing software systems aimed at combating issues like violent extremism and disinformation. The ideal candidate will have a passion for using AI/ML to derive insights from large datasets while maintaining a commitment to ethical practices in technology.

Posted 2 days ago

Profile Software

AI & Machine Learning Engineer

On-site
Profile SoftwareNea Smyrni, Attica, Greece

The AI & Machine Learning Engineer, based in Athens, Greece, is tasked with designing and developing integrated AI systems. Responsibilities include implementing ML algorithms, conducting experiments, and collaborating with teams to build applications that merge AI with Finance. The role involves working with large language models, refining prompt engineering techniques, and optimizing neural networks. Staying updated with the latest field advancements is crucial.

Posted 3 days ago

TI

AI / Machine Learning Engineer

On-site
Thri5 Inc.Toronto, ON

Thri5 Inc. is seeking an AI / Machine Learning Engineer to help build an agent layer that powers their System of Actions. The role involves designing multi-agent systems for workflow orchestration, developing data-driven detection models, and implementing robust MLOps practices. Ideal candidates have over 5 years of software development experience, particularly in AI/ML, and are comfortable working in fast-paced environments. The position offers the opportunity to contribute to innovative retail solutions that enhance operational effectiveness.

Posted 3 days ago

CoreView

AI Machine Learning Engineer

On-site
CoreViewItaly

CoreView, a leader in Microsoft 365 tenant resilience, seeks an AI/ML Engineer with experience in shipping AI/ML systems to production. The role emphasizes building innovative tools for internal workflows and customer-facing products while fostering a collaborative and impactful work environment. Ideal candidates are curious engineers with hands-on experience in both GenAI/LLM application engineering and machine learning, who enjoy working on side projects and leveraging AI coding assistants. Join CoreView to contribute to a culture that values ownership, teamwork, and continuous improvement.

Posted 6 days ago

MP

AI and Machine Learning Engineer

On-site
Mitsubishi Power EMEAThe Point, 37 North Wharf Street, Paddington, London, England, United Kingdom

Mitsubishi Power EMEA is looking for a motivated AI and Machine Learning Engineer to join their Engineering team. Ideal for recent Master's graduates, this role involves applying AI techniques to tackle real-world challenges in power generation. Working with a Principal Engineer, you will develop digital solutions for turbine operations, gaining hands-on experience while contributing to innovative AI-driven projects that enhance performance and reliability.

Posted 1 week ago

IL

AI / Machine Learning Engineer

On-site
InstantServe LLCAmsterdam, Amsterdam, Netherlands

Join InstantServe and make a significant impact on healthcare by working on innovative AI solutions for international clients. Enjoy a dynamic work environment with competitive salary and professional growth opportunities. We value confidentiality and adhere to EEO guidelines.

Posted 2 weeks ago

T

AI/Machine Learning Engineer

Hybrid
Techconnect.idJakarta, Jakarta, Indonesia

Techconnect.id is seeking an AI/Machine Learning Engineer to lead the design, development, and deployment of AI systems and ML models. This role focuses on aligning technical strategies with business objectives, mentoring junior engineers, and ensuring seamless integration of AI capabilities into products. Opportunities exist for both senior-level leadership and mid/junior-level support roles within a collaborative environment. The ideal candidate will have strong technical expertise, excellent problem-solving skills, and the ability to work in a hybrid setup.

Posted 3 weeks ago

Avanceon MEA

Trainee AI/ML Engineer

On-site
Avanceon MEALahore, PK

Avanceon is seeking a Trainee AI/ML Engineer to develop next-generation intelligent systems using semantic search, Retrieval-Augmented Generation (RAG), and multi-agent workflows. This role focuses on delivering cutting-edge AI solutions in NLP/NLU and applied AI, contributing to significant business impact and the advancement of intelligent automation.

Posted 2 days ago

Global InfoTek, Inc.

Data Scientist / AI/ML Engineer

On-site
Global InfoTek, Inc.Reston, VA

Global InfoTek, Inc. is seeking a Data Scientist / AI/ML Engineer with expertise in machine learning to research, develop, and integrate various ML models and algorithms for imagery analysis. Candidates should have a solid background in Python and ML frameworks, along with experience in data science or computer vision. The position offers a competitive salary of $235K - $275K and requires at least 5 years of experience. This role also emphasizes collaboration, critical thinking, and a strong understanding of technical principles, making it ideal for resourceful individuals passionate about innovative solutions.

Posted 2 days ago

631 Booz Allen Hamilton_United States

AI/ML Engineer and Data Scientist

On-site
631 Booz Allen Hamilton_United StatesFort Belvoir, VA

AI/ML Engineer and Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the develop ment of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: Experience with statistical and general-purpose programming languages for data analysis Experience analyzing structured and unstructured data sources Experience with data exploration, data cleaning, data analysis, data visualization, or data mining Experience develop ing predictive data models, quantitative analyses and visualization of targeted data sources Experience with natural language processing, text mining, or machine learning techniques Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms Knowledge of AI and ML workflows leveraging existing AI and ML tools TS/SCI clearance Bachelor’s degree Nice If You Have: Experience in the develop ment of algorithms leveraging CDS, Gitlab, CI / CD, Argo CD, R, Python, or SQL and NoSQL Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2 Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Posted 5 days ago

Sciemo

AI/ML Engineer, Data Scientist

Hybrid
SciemoNew York City

Sciemo seeks a Founding Member of Technical Staff to help develop and deploy AI systems for consumer goods. The role combines responsibilities of a Data Scientist and Machine Learning Engineer, guiding the design and implementation of complex ML systems. You will collaborate with various teams to ensure AI systems deliver real-world value, define AI strategies, and establish best practices. Applicants should have experience launching AI/ML products and working with core ML tools. This hybrid position is based in New York City but open to U.S. candidates willing to travel.

Posted 6 days ago

ING Bank Personeel BV

AI Prompt Engineer

Hybrid
ING Bank Personeel BVHBP (Amsterdam - Haarlerbergpark)

This role was first published on the 5th of February 2026. Are you passionate about shaping the future of AI in the workplace? Join ING and help build the next generation of AI-powered employee experiences. Currently we are looking for an AI Prompt Engineer in the Netherlands to be part of the team responsible for delivering the digital workplace of the future. As an AI Prompt Engineer, you will play a key role in designing intelligent Microsoft Copilot solutions that make it easier for thousands of colleagues worldwide to work smarter, faster, and more effectively every day. The team Making a difference with our innovative, reliable and user-friendly digital workplace services. The ING tribe Global Workplace Services WPS is responsible for the digital workplace of all 80.000+ global ING employees. We ensure that our colleagues can work simply and safely from any device, wherever they are in the hybrid world. We deliver our services that are vital to ING’s business operations from four locations: Netherlands, Germany, Poland and the Philippines. Roles and r esponsibilities As an AI Prompt Engineer, you will help design and deliver AI-powered solutions that improve the employee experience across ING. You will: • Design and implement Copilot Studio agents using best practices for modularity, intent routing, fallback handling, and escalation (to humans or systems). • Develop state-of-the-art prompts that drive use cases to value. • Apply knowledge management principles to ensure content is accessible, relevant, and easy to maintain — including support for media like images and videos. • Build and maintain adaptive card flows for troubleshooting, knowledge lookups, and ticketing — with a focus on accessibility, localisation, and user feedback. • Champion accessibility in everything you build — including keyboard-first navigation, screen reader support, and speech-to-text/text-to-speech capabilities. • Integrate agents with 3rd party applications such as ServiceNow enabling seamless, pre-filled ticket creation and status updates. • Collaborate on measurement strategies that go beyond star ratings — helping us capture meaningful feedback and improve continuously. • Contribute to a scalable agent architecture that supports phased rollouts, learning loops, and future growth across ING. • Contribute to validating other employee facing AI capabilities such as Gemini Enterprise How to s ucceed We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll support your growth and development. To be successful in this role, you will bring: Prompt Design Expertise: Experienced in crafting, refining, and evaluating prompts for GenAI agents, chatbots, or Copilot Studio; and/or Proven experience with Microsoft Copilot Studio and Power Platform, including: Power Automate (for backend flows and integrations) Power Apps (for internal tooling and UI extensions); and/or Strong knowledge of M365, EntraID and Azure AD and related security principles and controls; and/o r Hands-on experience with Python and/or JavaScript/TypeScript, including full-stack development (frontend and backend), building and consuming REST APIs, and developing scalable, maintainable applications. Experience integrating AI services or embedding AI capabilities into applications is a plus. Proficiency in: Microsoft Graph, YAML, Python, HTML/CSS and/or JSON (for adaptive cards and data handling) Familiarity with APIs and integration patterns Understanding of accessibility standards (WCAG) and localisation best practices. Experience with other AI Models such as Google Gemini Enterprise Strong analytical skills You are passionate about GenAI, stay up to date with the latest developments, and enjoy automating manual processes by turning ideas into practical solutions. Rewards and benefits We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions. The benefits of working with us at ING include: 25-28 vacation days depending on contract Pension scheme 13th month salary 8% Holiday payment Hybrid working Personal growth and challenging work with endless possibilities An informal working environment with innovative colleagues About us Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you . Questions? Please visit our Frequently Asked Questions section to find some answers on questions you might have. Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.

Posted 2 weeks ago

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Marina Galkina

Marina Galkina

Senior HR Manager, Lead Tech Recruiter, and Career Consultant

AI Jobs Salary Data (July 2026)

This section summarizes salary information from 69,086+ active AI job postings, including roles across machine learning, research, data science, product, engineering, and applied AI functions where pay details are available.

Average Salary

$133k

$177k

$223k

25th

50th

75th

Based on 69,086 roles currently tracked by LiftmyCV. Last updated on Jul 7, 2026

Salary Distribution

Entry2,382 jobs
$117k$143K$170k
Mid33,650 jobs
$113k$162K$200k
Senior33,054 jobs
$158k$201K$234k

Based on 69,086 roles currently tracked by LiftmyCV. Last updated on Jul 7, 2026

AI Jobs salary ranges based on 13,723 job listings tracked by LiftmyCV
Experience Level25th PercentileMedian (50th)75th PercentileSample Size
Overall$132,625$177,475$222,50013,723
Entry-Level$116,887.5$142,900$169,862.58
Mid-Level$112,500$162,000$200,000113
Senior-Level$158,304$201,150$234,185111

"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

machine learning
deep learning
Python
model development
data science
natural language processing
generative AI
LLMs
model evaluation
data preprocessing
MLOps
prompt engineering
computer vision
neural networks
AI research
model deployment
TensorFlow
PyTorch
data engineering
API integration

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.

FAQ

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