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.
As our lead app developer, you will: Lead the development of our customer-facing drone delivery app. Show less…
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As our lead app developer, you will: Lead the development of our customer-facing drone delivery app. Show less [{"type":"people_also_viewed","href":"https://no..com/jobs/view/full-stack-engineer-at-%C3%B8nsk-4369011943","jobId":"4369011943","label":"Full Stack Engineer"},{"type":"people_also_viewed","href":"https://no..com/jobs/view/developer-productivity-engineer-at-ascenium-as-4316806473","jobId":"4316806473","label":"Developer Productivity Engineer"},{"type":"people_also_viewed","href":"https://no..com/jobs/view/java-utvikler-med-2-3-%C3%A5rs-erfaring-at-statnett-sf-4369104612","jobId":...
Lead AI Engineer (Cloud & Machine Learning) - Contract / Data Analytics We're partnered with a European industrial research laboratory, which makes up part of a global technology organization, and they're looking for a…
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Lead AI Engineer (Cloud & Machine Learning) - Contract / Data Analytics We're partnered with a European industrial research laboratory, which makes up part of a global technology organization, and they're looking for a Lead AI Engineer to join its Data Analytics and Machine Learning team on a 12 month onsite contract, working onsite in Brussels. This team builds advanced machine learning models, AI technologies, and cloud based services that power multiple business domains across the digital media and entertainment ecosystem.
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.
Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. Role overview : As Lead of AI, you will define and…
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Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. Role overview : As Lead of AI, you will define and execute Pigment’s AI vision.
Responsibilities Kforce has a client that is seeking an AI/ML Engineer in Phoenix, AZ. Duties/Day-to-Day Responsibilities: Develop machine learning and deep learning solutions for observability data to enhance IT…
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Responsibilities Kforce has a client that is seeking an AI/ML Engineer in Phoenix, AZ. Duties/Day-to-Day Responsibilities: Develop machine learning and deep learning solutions for observability data to enhance IT operations Implement time series forecasting, anomaly detection, and event correlation models Integrate LLMs using prompt engineering, fine-tuning, and RAG for incident summarization Build MCP client-server architecture for seamless integration with the Grafana ecosystem The project also focuses on predicting emissions using ML models and enhancing observability through dynamic dashboards Machine Learning & Model Development: Design and develop ML/DL models for: Time series forecasting (system load, CPU/memory usage) Anomaly detection in logs, metrics, or traces Event classification and correlation to reduce alert noise Select, train, and tune models using TensorFlow, PyTorch, or scikit-learn Evaluate model performance with precision, recall, F1-score, and AUC Preprocess large observability datasets (Prometheus, Kafka, BigQuery) Deploy models using cloud-native services (GCP Vertex AI, Azure ML, Docker/Kubernetes) Maintain retraining pipelines and monitor model drift LLM Integration For Observability Intelligence Implement LLM-based workflows for summarizing incidents or logs Develop and refine prompts for GPT, LLaMA, or other LLMs Integrate Retrieval-Augmented Generation (RAG) with vector databases (FAISS, Pinecone) Control latency, hallucinations, and cost in production LLM pipelines Build or extend MCP client/server components for Grafana Surface ML outputs (anomaly scores, predictions) in dashboards Collaborate with observability engineers to integrate ML insights into monitoring tools Work with data engineers on pipeline performance and data ingestion Translate ML outputs into actionable insights for platform teams Requirements 6- 8 years of designing and developing ML algorithms and DL applications for observability data (AIOps) Hands-on experience in time series forecasting, anomaly detection, and event classification Experience integrating LLMs with prompt engineering, fine-tuning, and RAG Working knowledge of MCP client and server development for Grafana or similar Programming: Python, R ML Frameworks: TensorFlow or PyTorch, scikit-learn Cloud Platforms: Google Cloud and/or Azure Front-End: React or Angular or Vue.js, or jQuery Design Tools: Figma or Adobe XD or Sketch Databases: MySQL or MongoDB or PostgreSQL Server-Side Languages: Py...
Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings…
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Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments.
La figura contribuirà alla progettazione, realizzazione e manutenzione di chatbot e conversational agent innovativi. Responsabilità principali Progettare e sviluppare chatbot e conversational agent utilizzando…
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La figura contribuirà alla progettazione, realizzazione e manutenzione di chatbot e conversational agent innovativi. Responsabilità principali Progettare e sviluppare chatbot e conversational agent utilizzando Dialogflow CX e servizi Google Cloud Collaborare con team tecnici e stakeholder per raccogliere requisiti e tradurli in soluzioni conversazionali efficaci Proporre soluzioni innovative per migliorare l’esperienza utente e le performance dei sistemi conversazionali Gestire e analizzare dati conversazionali tramite BigQuery Utilizzare modelli generativi e Gemini Enterprise per casi d’uso di AI conversazionale Applicare tecniche di prompt engineering per ottimizzare risposte e flussi dialogici Supportare attività di manutenzione, testing e miglioramento continuo dei chatbot Requisiti richiesti Profilo junior (neolaureato/a o con prima esperienza in ambito Conversational AI / AI Engineering) Buona conoscenza dei concetti fondamentali di Intelligenza Artificiale, LLM e RAG (Retrieval-Augmented Generation) Conoscenza di Dialogflow CX e dei principi di progettazione conversazionale Familiarità con BigQuery e con l’analisi dei dati Buone competenze di prompt engineering Ottime capacità comunicative, scritte e orali, e attitudine al lavoro con clienti e team multidisciplinari Capacità di problem solving e propensione all’innovazione Costituiscono un plus Conoscenza di Google Cloud Platform Esperienza (anche accademica o progettuale) con chatbot o assistenti virtuali Interesse per UX conversazionale e human-centered AI Cosa offriamo Inserimento in un contesto tecnologico dinamico e orientato all’innovazione Possibilità di crescita professionale su tecnologie AI e Google Cloud Coinvolgimento in progetti concreti di AI conversazionale e chatbot avanzati Show less [{"type":"people_also_viewed","href":"https://it..com/jobs/view/data-scientist-at-subito-4350719399","jobId":"4350719399","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://it..com/jobs/view/data-scientist-at-subbyx-4370418543","jobId":"4370418543","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://it..com/jobs/view/ai-engineer-madrid-based-at-contents-4364984908","jobId":"4364984908","label":"AI Engineer (Madrid Based)"},{"type":"people_also_viewed","hre...
One of the companies we collaborate with at Joppy is looking for someone who doesn’t just train models, but builds and operates ML systems in production end-to-end. Show less…
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One of the companies we collaborate with at Joppy is looking for someone who doesn’t just train models, but builds and operates ML systems in production end-to-end. Show less [{"type":"people_also_viewed","href":"https://es..com/jobs/view/freelance-machine-learning-engineer-python-at-mindrift-4368602754","jobId":"4368602754","label":"Freelance Machine Learning Engineer (Python)"},{"type":"people_also_viewed","href":"https://dk..com/jobs/view/freelance-machine-learning-engineer-python-at-mindrift-4368617070","jobId":"4368617070","label":"Freelance Machine Learning Engineer (Python)"},{"type":"people_also_viewed","href":"https://nl..com/jobs/view/machine-learning-engineer-at-bloomon-4367171477","jobId":"4367171477","label":"Machine Learning Eng...
Position Tittle: Senior AI Engineer Location: Charlotte North Carolina Rate to Candidate: $70 Client: Charter Comm Duration: Long Term Job Details: Required Skills & Experience 5+ years of experience in AI / ML Very…
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Position Tittle: Senior AI Engineer Location: Charlotte North Carolina Rate to Candidate: $70 Client: Charter Comm Duration: Long Term Job Details: Required Skills & Experience 5+ years of experience in AI / ML Very strong proficiency in Python Proven expertise in NLP, including: Text classification Clustering Strong experience in data analysis using SQL Hands-on experience with LLMs: Prompt engineering Evaluation frameworks Retrieval-Augmented Generation (RAG) Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-scientist-at-zone-it-solutions-4364091423","jobId":"4364091423","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/ai-engineer-at-accruepartners-4365882161","jobId":"4365882161","label":"AI Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/principal-data-scientist-responsible-ai-at-ally-4356506846","jobId":"4356506846","label":"Principal - Data Scientist - Responsible AI"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-ai-engineer-ai-developer-at-chatgpt-jobs-4361432595","jobId":"4361432595","label":"Senior AI Engineer - AI Developer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/ai-principal-engineer-at-agility-partners-4367300596","jobId":"4367300596","label":"AI Principal Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-scientist-fp-a-at-eg-america-4349392860","jobId":"4349392860","label":"Data Scientist - FP&A"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/ai-software-engineer-00076452-remote-usa-at-fullstack-4368859829","jobId":"4368859829","label":"AI Software Engineer (00076452) - Remote - USA"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/sr-ai-engineer-at-brooksource-4361990290","jobId":"4361990290","label":"Sr. AI Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/sr-applied-ai-ml-engineer-at-the-hartford-4360540047","jobId":"4360540047","label":"Sr Applied AI/ML Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/gen-ai-python-engineer-w2-only-at-stash-talent-services-4369694838","jobId":"4369694838","label":"Gen AI/Python Engineer-W2 Only"...
Key Responsibilities Support AI Solution Development Assist in building RAG pipelines using Azure AI/Search and vector DBs (e.g., Redis, FAISS). Contribute to agent orchestration patterns using Azure AI Agent Service,…
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Key Responsibilities Support AI Solution Development Assist in building RAG pipelines using Azure AI/Search and vector DBs (e.g., Redis, FAISS). Contribute to agent orchestration patterns using Azure AI Agent Service, gaining exposure to policy enforcement.
Proven experience with Google Gemini / Vertex AI (Non-negotiable). Context Engineering: Proven experience performing context engineering and prompt tunning.
Productionize AI & Operations: Build and scale machine learning models and optimization solvers using modern frameworks. Translate complex operational needs into technical AI solutions.
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.
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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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