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.
Responsibilities Hands-On AI Engineering Design and build AI-enabled services and components that integrate with Cargo platform workflows. Implement AI-assisted automation to support engineering, operational, or…
Read full description
Responsibilities Hands-On AI Engineering Design and build AI-enabled services and components that integrate with Cargo platform workflows. Implement AI-assisted automation to support engineering, operational, or business processes.
As the Engineering Manager for Poker Integrity Systems, you will own the application-layer engineering that turns integrity signals into real product experiences — across QuintAce modules, player-facing dashboards, and…
Read full description
As the Engineering Manager for Poker Integrity Systems, you will own the application-layer engineering that turns integrity signals into real product experiences — across QuintAce modules, player-facing dashboards, and platform integrations. You will lead architecture, roadmap, and execution for the Integrity & Trust product surface, including: Trust / Risk score serving & aggregation layer (fed by internal detection systems) B2B / B2C hand ingestion & evaluation workflows Transparency dashboards & security UX (player-facing + internal views) Verification and security test flows (e.g., challenge / captcha / validation) Cross-platform integration with existing poker products and operators Note: Detection models and core research (e.g., BOT/RTA classifiers, collusion algorithms) are developed by our ML / Security / Anti-cheat teams.
BlackRock is looking for a data engineer to join the Digital Data Engineering team. Architect and develop data solutions to bring new datasets into digital ecosystem including Private Markets data and product data.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.…
Read full description
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Effectively mentor others.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.…
Read full description
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Effectively mentor others.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.…
Read full description
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Effectively mentor others.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.…
Read full description
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Effectively mentor others.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.…
Read full description
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Effectively mentor others.
Key Responsibilities Design, train, fine-tune, and deploy computer vision and multimodal models for image captioning, video description, object and person re-identification, and security event detection. Develop…
Read full description
Key Responsibilities Design, train, fine-tune, and deploy computer vision and multimodal models for image captioning, video description, object and person re-identification, and security event detection. Develop vision-language and embedding-based systems using architectures such as transformers, CLIP, BLIP, contrastive learning frameworks, and deep metric learning models.
Develop vision-language and embedding-based systems using architectures such as transformers, CLIP, BLIP, contrastive learning frameworks, and deep metric learning models. Strong foundation in deep learning, computer…
Read full description
Develop vision-language and embedding-based systems using architectures such as transformers, CLIP, BLIP, contrastive learning frameworks, and deep metric learning models. Strong foundation in deep learning, computer vision, and machine learning including CNNs, transformers, metric learning, and representation learning.
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.
Currency harmonized to USD/EUR/GBP/CHF to avoid surprises.
Outliers are reviewed manually before they appear on a card.
Sponsored employers follow the same disclosure and pay rules.
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.
Save this search and get a weekly digest of top matches.
Includes salary signal. No spam.
