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.
This role sits at the intersection of applied AI research and production engineering - a role that is ideal for builders who want to push the boundaries of what's possible with LLMs while shipping real systems that…
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This role sits at the intersection of applied AI research and production engineering - a role that is ideal for builders who want to push the boundaries of what's possible with LLMs while shipping real systems that customers depend on. Responsibilities: Design and implement LLM-based systems and agentic workflows that solve real customer problems Build robust evaluation frameworks to measure, track, and improve model behavior Develop scalable asynchronous systems for AI orchestration and task execution Work on RAG pipelines, multi-agent architectures, and production LLM infrastructure Collaborate across engineering, research, and product to define what gets built Shape AI strategy and contribute to long-term technical direction About You: Proven experience building and shipping production AI systems (not just prototypes) Strong foundations in machine learning and deep learning principles Hands-on experience with LLMs, agents, RAG systems, or large-scale inference pipelines Comfort moving between research papers and production codebases Natural curiosity, strong sense of ownership, and drive for continuous improvement Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role.
The Role They’re now hiring an AI Engineer to join a growing AI team delivering production‑grade AI systems across the business. Translate real operational problems into actionable AI solutions.
• Perform unit testing, integration testing, and support automated testing frameworks. • Identify opportunities to improve application performance, code quality, and development efficiency.
Job Description With a background in AIFM, you will play a pivotal role in driving revenue growth for IQ-EQ by creating and closing new sales opportunities, expanding market share, and strengthening client relationships…
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Job Description With a background in AIFM, you will play a pivotal role in driving revenue growth for IQ-EQ by creating and closing new sales opportunities, expanding market share, and strengthening client relationships across your Cluster. You will manage relationships with significant AIFM clients where appropriate, ensuring strong engagement and high-quality service delivery.
Key Responsibilities: Generative AI Solutions: Design, develop, and deploy AI models for text, image, and process automation. Hands-on experience with Generative AI frameworks (OpenAI, Hugging Face, Azure AI, etc.).
Full Stack Engineer, Product, London (onsite), AI-enabled workflows, TypeScript, Python, £80k–£150k base A fast-growing product-focused team is hiring a Fullstack Engineer to help build software that supports complex,…
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Full Stack Engineer, Product, London (onsite), AI-enabled workflows, TypeScript, Python, £80k–£150k base A fast-growing product-focused team is hiring a Fullstack Engineer to help build software that supports complex, real-world workflows. You’ll work end-to-end across the stack, shaping product direction as well as implementation, and shipping directly to production.
The Kenshoo/Skai Client Success Manager (CSM) is responsible for overseeing client utilisation of the Skai Omnichannel platform. Requirements: Position Requirements: Ability to understand advanced marketing analytics…
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The Kenshoo/Skai Client Success Manager (CSM) is responsible for overseeing client utilisation of the Skai Omnichannel platform. Requirements: Position Requirements: Ability to understand advanced marketing analytics Ability to perform detailed client audits to identify client needs or workflow gaps 2+ years experience in client services and/or technical project management or 2+ years experience in digital marketing campaign management.
Solution Design & Development: Create detailed Process Design Documents (PDDs)/define requirements for Robotic Process Automation (RPA), AI solutions / Natural Language Processing (NLP) solutions, collaborating closely…
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Solution Design & Development: Create detailed Process Design Documents (PDDs)/define requirements for Robotic Process Automation (RPA), AI solutions / Natural Language Processing (NLP) solutions, collaborating closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. For more information, please go to www.ascendion.com With Ascendion (www.ascendion.com), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering.
Organization: Alignerr Position: Data Science Expert - AI Content Specialist Type: Hourly Contract Compensation: $40–$80 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do Develop Complex Problems:…
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Organization: Alignerr Position: Data Science Expert - AI Content Specialist Type: Hourly Contract Compensation: $40–$80 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do Develop Complex Problems: Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction. No AI experience required Preferred Prior experience with data annotation, data quality, or evaluation systems Proficiency in production-level data science workflows (e.g., MLOps, CI/CD for models).
[Applicants: Over 200 applicants | Industry: Industrial Machinery Manufacturing | Type: Full-time | Level: Entry level] As a global leader in smart, healthy and sustainable buildings, our mission is to reimagine the…
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[Applicants: Over 200 applicants | Industry: Industrial Machinery Manufacturing | Type: Full-time | Level: Entry level] As a global leader in smart, healthy and sustainable buildings, our mission is to reimagine the performance of buildings to serve
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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.
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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.
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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.
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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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