días — With over 50 state-of-the-art screens, ice-cold beers, a crowd-pleasing menu, and an electric atmosphere, we deliver big experiences on game day and every day.
We’re looking for a Data Scientist with a strong AI Engineering focus to design, build, and deploy machine learning solutions that deliver real, measurable impact across our products. Key Responsibilities Design and…
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We’re looking for a Data Scientist with a strong AI Engineering focus to design, build, and deploy machine learning solutions that deliver real, measurable impact across our products. Key Responsibilities Design and deploy AI‑driven features in collaboration with product and engineering teams Build, deploy, and maintain production‑ready ML services Monitor model performance, reliability, and accuracy in production Perform data analysis, feature engineering, and model optimisation Apply modern ML techniques, including transformer‑based architectures Stay across emerging AI/ML trends and identify opportunities for application Contribute to Agile delivery through planning and continuous improvement Skills & Experience Strong foundation in Machine Learning and AI Advanced Python skills Demonstrated hands‑on experience with PyTorch and/or TensorFlow Experience deploying ML models to production environments Hands‑on experience with transformer-based architectures and libraries Understanding of model evaluation, optimisation, and monitoring Experience working with SQL and structured data Demonstrated ability to learn new tools, programming languages, and technologies quickly Strong problem‑solving, communication, and collaboration skills Tertiary qualification in Computer Science, Data Science, IT, or equivalent experience Our ideal candidate will also have: Experience with MLOps (versioning, monitoring, automated deployment) Experience with AWS, FastAPI, or Ray Serve Exposure to CNNs and large‑scale model training Postgraduate or industry research experience in ML Strong data wrangling skills (NumPy, Pandas, Jupyter) This is a hybrid schedule position with 3 days per week on-site at our Mulgrave office.
The Opportunity The Business Analyst is a key commercial role supporting the Buying and Merchandising teams across Drinks and Snacking portfolios. This role forms part of the W-Retail commercial team and partners…
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The Opportunity The Business Analyst is a key commercial role supporting the Buying and Merchandising teams across Drinks and Snacking portfolios. This role forms part of the W-Retail commercial team and partners strongly with the Buying and Merchandise teams.
Essential experience: Experience working on technology pricing platforms Hands‑on exposure to Pricing APIs / DAPI Experience with Earnix and/or premium calculation or breakdown tools Strong capability translating…
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Essential experience: Experience working on technology pricing platforms Hands‑on exposure to Pricing APIs / DAPI Experience with Earnix and/or premium calculation or breakdown tools Strong capability translating business and pricing requirements into delivery‑ready technical scope Experience defining non‑functional requirements (performance, security, scalability) Strong backlog management skills (initiatives, epics, user stories) Experience working closely with architects and engineering teams Role 3: Senior Business Analyst – Mobile & Digital Platforms Location: Melbourne (preferred) Key focus: Native mobile applications and digital customer journeys. Essential experience: 4+ years’ experience as a Senior Business Analyst on large‑scale mobile ...
días — We are seeking a Java Developer to design and deliver scalable, cloud-native data integration solutions. The role requires expertise in Talend Cloud, AWS, and ...
días — This role involves hands-on testing, automation development, mentoring other QA engineers, and collaborating with software and hardware teams to ensure the ...
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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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