For example, integrating cutting-edge AI models or developing new analytical tools. Strong Experience in software development best practices: CI, Testing, Deployment.
They’re now looking for a Python Developer to help design and build intelligent systems that make that future a reality. Role: Senior Python Engineer Salary: £65,000 - £75,000 Location: Central London (Hybrid) What…
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They’re now looking for a Python Developer to help design and build intelligent systems that make that future a reality. Role: Senior Python Engineer Salary: £65,000 - £75,000 Location: Central London (Hybrid) What You’ll Be Doing Design, build, and deploy features, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour Contribute to system architecture and infrastructure for scale, observability, and performance Explore and implement LLMs, prompt engineering, and AI orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 5+ years of software engineering experience, with strong backend focus Proficiency in Python and/or TypeScript, and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling, cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g.
Senior Machine Learning Engineer Up to 115k Xcede is working in partnership one of the UK’s most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly…
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Senior Machine Learning Engineer Up to 115k Xcede is working in partnership one of the UK’s most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly complex, data-intensive environments. Requirements: Extensive experience building, deploying, and operating machine learning platforms in production Strong background translating data science work into reliable, real-world systems Deep hands-on experience with modern ML frameworks and tooling Expert-level Python engineering and strong software design skills Proven experience building cloud-based platforms e.g.
This is a high‑ownership role suited for someone who loves distributed systems, multi‑GPU scaling, model optimization, and fast iteration. What You'll Do Build and optimize training & inference pipelines for large…
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This is a high‑ownership role suited for someone who loves distributed systems, multi‑GPU scaling, model optimization, and fast iteration. What You'll Do Build and optimize training & inference pipelines for large models (Transformers, SSMs, Diffusion, etc.) Scale workloads across multi‑GPU and distributed systems Optimize model performance, latency, memory usage, and throughput Productionize research code into robust, repeatable systems Work closely with researchers to convert exploratory notebooks into production frameworks Own ML infrastructure components — data loading, distributed compute, experiment tracking Design modular, reusable ML components used across the engineering org Requirements MSc or PhD in Machine Learning, Computer Science, Applied Math, or related field Strong Python engineering fundamentals Deep experience with PyTorch, JAX, or TensorFlow Hands‑on experience scaling ML systems in production environments Familiarity with MLOps tools (Weights & Biases, Ray, Docker, etc.) Experience with modern architectures: Transformers, Diffusion Models, SSMs Strong sense of ownership and comfort working in fast-paced early-stage environments Nice-to-Haves Contributions to open-source ML tooling Experience with distributed training, model compression, or high-throughput serving Experience building or integrating ML systems into end-user applications Background in scientific computing, biotech, or computational biology (not required) #Jobster Show less
Key Responsibilities: Manage network and firewall security. Eligibility for UK Government security clearance Required Skills: Working knowledge of network security including firewall configuration and security policy…
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Key Responsibilities: Manage network and firewall security. Eligibility for UK Government security clearance Required Skills: Working knowledge of network security including firewall configuration and security policy management.
Java Engineer - Java Developer - Software Engineer - PostGres - Kubernetes - Kafka - TDD - 6-Month Contract - Hybrid (2 days on site, London) - Day Rate: Up to £650 (Inside IR35) Join a high-performing engineering team…
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Java Engineer - Java Developer - Software Engineer - PostGres - Kubernetes - Kafka - TDD - 6-Month Contract - Hybrid (2 days on site, London) - Day Rate: Up to £650 (Inside IR35) Join a high-performing engineering team working on large-scale, high-availability systems used by millions. What you'll be doing: Designing and developing performant, scalable backend systems using Java (up to Java 21) Working with PostGres Building microservices with Spring Boot and related frameworks Developing and maintaining RESTful APIs and event-driven systems Writing clean, testable code and following TDD principles with a strong focus on unit testing Working closely with DevOps, Product, and QA teams to deliver high-quality solutions Deploying and supporting services in AWS with tools such as Lambda, ECS, S3, and CloudFormation, along with Kubernetes for container orchestration What we're looking for (Requirements): Strong commercial experience with Java and Spring Boot Proven experience designing and maintaining microservices Hands-on experience working with PostGres Background working in cloud environments, ideally AWS Knowledge of Kubernetes and containerised systems Familiarity with CI/CD pipelines and automation tooling Strong understanding of software testing, TDD, and unit testing Comfortable working within Agile teams Clear communication skills and the ability to collaborate effectively in a hybrid setup If you are an experienced Java Engineer keen to join a modern engineering environment and work on systems that operate at scale, please get in touch for more information.
Java Developer London/Hybrid £100,000 - £140,000 Java 21 Microservices TDD AWS PostgreSQL Kubernetes Fintech Digital Banking Looking to join a company who are making waves within the fintech space?…
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Java Developer London/Hybrid £100,000 - £140,000 Java 21 Microservices TDD AWS PostgreSQL Kubernetes Fintech Digital Banking Looking to join a company who are making waves within the fintech space? Want to work with the latest Java technology?
Graduate Java Software Developer in Test – FinTech - Core Java, Selenium, CI/CD Oliver Bernard are currently working with a leading FinTech / Trading company who are currently scaling their SDET function and looking to…
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Graduate Java Software Developer in Test – FinTech - Core Java, Selenium, CI/CD Oliver Bernard are currently working with a leading FinTech / Trading company who are currently scaling their SDET function and looking to take on an entry-level profile as part of expansion plans across the team. Graduate Java Software Developer in Test – FinTech - Core Java, Selenium, CI/CD #Jobster Show less
Required Experience 2–5 years of professional software engineering experience (exceptions may be made for exceptional talent). Strong full-stack engineering experience with a generalist approach.
As a Full Stack Software Engineer, you will work across backend services and frontend applications, contributing to end-to-end feature development in a fast-moving, engineering-led environment. This Will Offer You…
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As a Full Stack Software Engineer, you will work across backend services and frontend applications, contributing to end-to-end feature development in a fast-moving, engineering-led environment. This Will Offer You End-to-end ownership of features across backend and frontend systems Exposure to data-intensive applications and complex technical workflows Close collaboration with product, infrastructure, and engineering teams A high-autonomy role within a fast-paced development environment Opportunities to contribute to platform design and developer tooling Competitive compensation and long-term growth opportunities Your Responsibilities Build and maintain backend services, APIs, and data-processing pipelines using Python Develop and extend frontend applications using Next.js and React Design and maintain RESTful APIs and client–server integrations Write and maintain unit and acceptance tests, integrating with CI workflows Collaborate using Git-based workflows and contribute to shared codebases Take ownership of features from design through deployment Ensure code quality, reliability, and maintainability across the stack You Will Bring 2+ years of professional experience as a software engineer Strong Python skills, including building production-ready services and APIs Experience developing frontend applications with React and Next.js Understanding of RESTful architectures and backend–frontend integration Familiarity with modern frontend tooling (TypeScript, CSS frameworks, component-based design) Experience writing tests and working with CI/CD pipelines Comfort working in fast-paced environments with high ownership Nice to have: Experience with containerisation and cloud environments Familiarity with developer tooling or internal platforms Exposure to data-intensive or ML-adjacent workflows Experience working with databases (SQL and/or NoSQL) #Jobster Show less
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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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