AI and machine learning roles are the fastest-growing segment in tech, commanding 15–25% higher salaries than the general developer average. Roles span LLM engineering, MLOps, computer vision, NLP, data science, and applied AI research.
hace 1 día — You have strong SaaS product experience and ability to transform SaaS workflows into agent-driven conversational experiences. This role requires strong product ...
ce 24 horas — Our legal industry client in Austin, TX is seeking a Junior Digital Marketing Coordinator (Paid Search) to support their growing digital marketing efforts.
🚀 We’re Hiring: AI/ML Engineer Data & AI Platform Engineering We’re looking for a driven AI/ML Engineer to join our Data & AI Platform Engineering team and help build enterprise-grade AI and machine learning…
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🚀 We’re Hiring: AI/ML Engineer Data & AI Platform Engineering We’re looking for a driven AI/ML Engineer to join our Data & AI Platform Engineering team and help build enterprise-grade AI and machine learning capabilities at scale. In this role, you’ll partner with senior engineers, data scientists, and cross-functional teams to design, build, and support production-ready, well-governed AI/ML solutions.
Join our dynamic team as an AI Software Development Engineer in Test in Charlotte, NC. Experience with CI/CD technologies such as GIT, GitLab, Docker Knowledge of AI paradigms and models Strong written and verbal…
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Join our dynamic team as an AI Software Development Engineer in Test in Charlotte, NC. Experience with CI/CD technologies such as GIT, GitLab, Docker Knowledge of AI paradigms and models Strong written and verbal communication skills Desired Skills: Experience automating API tests and using mocks and virtual services Automation of tests across full solution stacks Experience testing AI implementations and understanding model risks Feedback experience on Merge/Pull Requests Financial services technology/testing experience Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/lead-sdet-in-test-automation-at-cognizant-4328702609","jobId":"4328702609","label":"Lead SDET in Test Automation"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/test-automation-engineer-with-payments-f2f-in-charlotte-at-arkhya-tech-inc-4364374935","jobId":"4364374935","label":"Test Automation Engineer with Payments F2F in Charlotte"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/test-automation-engineer-with-payments-at-jobs-via-dice-4370438693","jobId":"4370438693","label":"Test Automation Engineer with Payments"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/test-automation-engineer-with-banking-experience-at-jobs-via-dice-4370455352","jobId":"4370455352","label":"Test Automation Engineer with Banking Experience"},{"type":"sim...
Evaluate emerging AI tools, agent frameworks, and healthcare models. 5+ years of experience in software engineering, data engineering, or AI engineering.
ABOUT US: Founded in 2020, Regal is the AI Agent Platform. The AI Agent Product Specialist role starts with two weeks of intensive training where you will learn to build AI Agents using the Regal AI Agent Platform.
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. The work: Develop MLOps frameworks and workflows for a variety of…
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At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. The work: Develop MLOps frameworks and workflows for a variety of domains and applications Deploy, maintain, and optimize ML models and data processes in a production environment Develop custom AI/ML algorithms that translate into mission value Conduct experiments, evaluate model performance, and fine-tune algorithms to improve accuracy and efficiency Collaborate with cross-functional teams to integrate AI/ML models into products and services Requirements: Hands-on experience with scripting languages such as Python, Javascript or Rust Hands-on experience with developing machine learning models at scale from inception to business impact Hands-on experience with any major deep learning framework and libraries (Tensorflow, PyTorch, HuggingFace) Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Jenkins, Gitlab CI or DVC Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches Experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment Experience working with and managing processing of large datasets and computational or analytic jobs Experience monitoring and triaging issues with data processes and tools Certifications (Must be current or willing to obtain): SAP or ServiceNow Developer SAFe (Scaled Agile Framework) Eligibility Requirements: US Citizenship required As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illino...
You will work with a wide variety of clients to deliver the latest data science and big data technologies. You will help our clients navigate the complex world of modern data science, analytics, and software engineering.
These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to…
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These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance.
[Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level]
Software AI Engineer2Experience:6 - 8 yrsLocation:1 - US Bay Area1 - US RemoteKey ResponsibilitiesDesign, develop, and implement…
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[Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level]
Software AI Engineer2Experience:6 - 8 yrsLocation:1 - US Bay Area1 - US RemoteKey ResponsibilitiesDesign, develop, and implement AI/ML models and algorithms using Python.Deploy and manage AI solutions on cloud platforms (e.g., AWS, Azure, GCP).Collaborate with data scientists and other engineers to integrate AI models into existing systems.Optimize AI models for performance, scalability, and cost-efficiency.Stay up-to-date with the latest advancements in AI/ML technologies and cloud services.Participate in the full software development lifecycle, including testing, deployment, and monitoring.
Key Responsibilities AI Assurance Strategy Define and implement an AI assurance approach aligned to business risk and regulatory expectations. Deterministic Component Assurance Assure non-AI system elements including:…
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Key Responsibilities AI Assurance Strategy Define and implement an AI assurance approach aligned to business risk and regulatory expectations. Deterministic Component Assurance Assure non-AI system elements including: Application logi...
Salary tags blend employer provided ranges with Catalitium estimates. We mark ranges with Est. labels, note any missing data, and never inflate compensation to boost clicks.
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Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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