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.
HPC Performance engineer to join our team of scientists and engineers passionate about building the next generation of scientific machine learning (ML) frameworks. Starting with digital biology, through high performance…
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HPC Performance engineer to join our team of scientists and engineers passionate about building the next generation of scientific machine learning (ML) frameworks. Starting with digital biology, through high performance computing (HPC) and powerful ML methods, together, we will advance NVIDIA’s capacity to accelerate AI for Science and industries that depend on it.
Join Sector Alarm as a Full Stack developer! DevOps and Cloud: Experience with Azure Kubernetes, microservices architecture, Azure cloud infrastructure...
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. You will move clients from high-level strategy to live,…
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Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. You will move clients from high-level strategy to live, functioning versions of Cognite’s solutions through Fast AI Prototyping via Cognite Atlas AI™ and Cognite Data Fusion®.
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. You will move clients from high-level strategy to live,…
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Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. You will move clients from high-level strategy to live, functioning versions of Cognite’s solutions through Fast AI Prototyping via Cognite Atlas AI™ and Cognite Data Fusion®.
Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work…
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Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Correct data beats clever data. Show less [{"type":"people_also_viewed","href":"https://pl..com/jobs/view/senior-aws%2Bpython-engineer-at-bonapolia-4368282770","jobId":"4368282770","label":"Senior AWS+Python…
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Correct data beats clever data. Show less [{"type":"people_also_viewed","href":"https://pl..com/jobs/view/senior-aws%2Bpython-engineer-at-bonapolia-4368282770","jobId":"4368282770","label":"Senior AWS+Python Engineer"},{"type":"people_also_viewed","href":"https://pl..com/jobs/view/gcp-platform-engineer-at-talent-complete-4368642811","jobId":"4368642811","label":"GCP Platform Engineer"},{"type":"people_also_viewed","href":"https://it..com/jobs/view/cloud-engineer-at-f1-consulting-services-4356658626","jobId":"4356658626","label":"Cloud Engineer"},{"type":"people_also_viewed","href":"https://es..com/jobs/view/ingeniero-a-de-so...
Kubernetes experience in deployment and microservices within AI DevOps and DevSecOps experience Experience with LLMs and ML Ops pipelines. Experience in developing voice-based conversational AI solution using LLMs.
Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative…
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Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
Your responsibilities include defining solution architectures, integrating AI components into broader systems, and ensuring best practices in MLOps, AI governance, and ethical AI. Your role Design and Implement AI…
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Your responsibilities include defining solution architectures, integrating AI components into broader systems, and ensuring best practices in MLOps, AI governance, and ethical AI. Your role Design and Implement AI Solutions: Lead the development of advanced AI and machine learning systems, including Generative AI models and AI Agents, ensuring robust architecture, scalability, and integration with client environments.
You're passionate about the potential of agentic AI and stay current with the rapidly evolving landscape of AI technologies. Requirements: Technical Skills Minimum 5+ years of experience building production-grade AI/ML…
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You're passionate about the potential of agentic AI and stay current with the rapidly evolving landscape of AI technologies. Requirements: Technical Skills Minimum 5+ years of experience building production-grade AI/ML systems, with at least 2 years specifically in agentic or LLM-based architectures.
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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