Role Overview This role exists to own and elevate the company’s internal data and systems landscape end-to-end. Key expectations: Improve data consistency, definitions, and governance across systems.
11 months contract/PAYE is £218.78 per day/hybrid/Onsite/London Job Title: Data Annotator / Data Analyst About The Role We are looking for a Data Annotator / Data Analyst to support the development and evaluation of AI…
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11 months contract/PAYE is £218.78 per day/hybrid/Onsite/London Job Title: Data Annotator / Data Analyst About The Role We are looking for a Data Annotator / Data Analyst to support the development and evaluation of AI and machine learning solutions. In this role, you will be responsible for annotating datasets, ensuring data quality, and collaborating with data scientists and engineers to improve model performance.
THE ROLE As an AWS Cloud Engineer, you’ll design and deploy scalable AWS infrastructure to power AI agentic applications. Skills And Experience The successful AWS Cloud Engineer will have the following skills and…
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THE ROLE As an AWS Cloud Engineer, you’ll design and deploy scalable AWS infrastructure to power AI agentic applications. Skills And Experience The successful AWS Cloud Engineer will have the following skills and experience: 2/3 years of experience in cloud engineering, software development, or AI infrastructure.
Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality…
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Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level, ability to adapt the message to the customer feedback, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc.
Co-Founders & Team You will work directly with a founding team of AI PhDs and elite engineers: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). What You Bring…
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Co-Founders & Team You will work directly with a founding team of AI PhDs and elite engineers: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). What You Bring Must-Haves: Expert Python Skills: Deep experience building and shipping AI solutions.
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.
Job Title - .NET Developer (Contract) Location - London (Hybrid – 2–3 days onsite) Contract Type - Contract (Outside IR35 / Inside IR35 – depending on client) Duration -12 months (likely extension) Day Rate -…
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Job Title - .NET Developer (Contract) Location - London (Hybrid – 2–3 days onsite) Contract Type - Contract (Outside IR35 / Inside IR35 – depending on client) Duration -12 months (likely extension) Day Rate - Competitive Role Overview We are looking for an experienced .NET Developer to join a delivery-focused engineering team working on business-critical systems in a fast-paced London-based environment. Key Responsibilities Design, develop and maintain applications using C# and .NET / .NET Core Contribute to the development of RESTful APIs and backend services Work on the modernisation and refactoring of legacy .NET applications Collaborate with product managers, business analysts and QA to deliver high-quality features Write clean, testable and maintainable code following best practices Participate in code reviews and contribute to improving engineering standards Support production systems, including bug fixing and performance tuning Work within Agile / Scrum delivery teams Required Skills & Experience Strong commercial experience with C# and .NET / .NET Core Experience building and consuming REST APIs Solid understanding of object-oriented design and software engineering principles Experience with SQL Server and relational databases Familiarity with unit testing frameworks (e.g.
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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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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.
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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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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.
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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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