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AI & Machine Learning Jobs

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.

Typical range: $130k–$200k USD · €100k–€160k EUR

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What is a “May be filled” (ghost) job?

Listings older than ~30 days may already be filled or paused. We flag them so you can prioritise fresher roles.

Q100 Match 75% Amigo Amsterdam 2026-04-27
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People who want to stay on the applied side long-term can do that too — but this role is explicitly built so you don't have to.</p><h1>What you'll do</h1><ul style="min-height:1.5em"><li><p…

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People who want to stay on the applied side long-term can do that too — but this role is explicitly built so you don't have to.</p><h1>What you'll do</h1><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Implement context graphs that enable agents to select the right reasoning mode (lookup, pattern recognition, exploration) based on problem complexity</p></li><li><p style="min-height:1.5em">Build and optimize agent configurations, including static personas, dynamic behaviors, and functional memory systems</p></li><li><p style="min-height:1.5em">Design bounded Operational Patient Domains (OPDs) with explicit inclusions, exclusions, capabilities, and escalation rules</p></li><li><p style="min-height:1.5em">Implement verification loops and simulation-based testing to validate agent performance against customer KPIs</p></li><li><p style="min-height:1.5em">Write Python code for tool integrations and API orchestration within customer environments</p></li><li><p style="min-height:1.5em">Build evaluation suites that gate deployments using customer-specific success metrics</p></li><li><p style="min-height:1.5em">Collaborate with domain experts through structured interviews to capture reasoning patterns and clinical protocols</p></li><li><p style="min-height:1.5em">Support technical power users through git-based workflows for rapid iteration</p></li><li><p style="min-height:1.5em">Implement adversarial testing to systematically identify and prevent failure modes</p></li><li><p style="min-height:1.5em">Ensure agents maintain audit-ready provenance with version pinning and evidence links</p></li><li><p style="min-height:1.5em">Contribute to systematizing implementation patterns across different problem domains</p></li></ul><h1>What we're looking for</h1><ul style="min-height:1.5em"><li><p style="min-height:1.5em">2+ years of production software engineering experience</p></li><li><p style="min-height:1.5em">Strong Python skills including proper use of typing, and experience building highly reliable systems that interact with external APIs (schema design, retry strategies, error propagation)</p></li><li><p style="min-height:1.5em">Experience with LLMs, prompt engineering, and building on AI platforms</p></li><li><p style="min-height:1.5em">Ability to implement systems with strict reliability requirements</p></li><li><p style="min-height:1.5em">Understanding of testing and verification methodologies</p></li><li><p style="min-height:1.5em">Experience working directly with customers or stakeholders to deliver technical solutions</p></li><li><p style="min-height:1.5em">Familiarity with git workflows and collaborative development</p></li><li><p style="min-height:1.5em">Strong debugging and problem-solving skills for complex systems</p></li><li><p style="min-height:1.5em">Ability to balance theoretical concepts with practical implementation constraints</p></li><li><p style="min-height:1.5em">Clear technical communication for both engineering and non-technical audiences</p></li></ul><h1>Nice to have</h1><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience in regulated industries (healthcare, finance, legal)</p></li><li><p style="min-height:1.5em">Background with simulation, synthetic data, or evaluation frameworks</p></li><li><p style="min-height:1.5em">Understanding of distributed systems and service-oriented architectures</p></li><li><p style="min-height:1.5em">Experience with observability and monitoring in production environments</p></li><li><p style="min-height:1.5em">Familiarity with compliance requirements (HIPAA, SOC 2, GDPR) </p></li></ul><h1>Benefits</h1><p style="min-height:1.5em"></p><h2>Health &amp; Wellness</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Comprehensive health, dental, and vision insurance</p></li><li><p style="min-height:1.5em">Daily catered lunch and dinner</p></li><li><p style="min-height:1.5em">Mental health support and wellness coaching</p></li><li><p style="min-height:1.5em">Flexible wellness stipend for fitness, therapy, or personal growth</p></li></ul><h2>Growth &amp; Development</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Annual learning budget for courses, books, or conferences</p></li><li><p style="min-height:1.5em">Conference attendance budget for professional development</p></li><li><p style="min-height:1.5em">Annual team offsite</p></li><li><p style="min-height:1.5em">Academic collaboration opportunities</p></li><li><p style="min-height:1.5em">Unlimited PTO</p></li></ul><p style="min-height:1.5em"></p><h1>Our Core Values</h1><ol style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Patients Win, We Win</strong></p><p style="min-height:1.5em">If patients aren't getting better care, we haven't earned the right to scale. We build the muscle to do both.</p></li><li><p style="min-height:1.5em"><strong>Intensely Measured</strong></p><p style="min-height:1.5em">We instrument patient outcomes, provider ROI, system performance, and clinical accuracy.

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Q100 Match 81% Aleph Alpha DE, remote 2026-04-14
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Title matches your search • Remote-friendly listing • Direct apply link

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You'll have direct influence on the models we ship.</p><p style="min-height:1.5em"></p><h2><strong>Your Responsibilities</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Co-Own data…

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You'll have direct influence on the models we ship.</p><p style="min-height:1.5em"></p><h2><strong>Your Responsibilities</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Co-Own data pipelines end-to-end:</strong> Design, build, and maintain the infrastructure that sources, processes, deduplicates, filters, and prepares pre-training corpora at scale. Monitor pipeline health and data quality metrics at scale.</p></li><li><p style="min-height:1.5em"><strong>Close data gaps:</strong> Work with evaluation and post-training teams to identify where model weaknesses trace back to data coverage, then source or generate the data needed to address them.</p></li><li><p style="min-height:1.5em"><strong>Collaborate with post-training:</strong> Partner closely with the post-training team to ensure pre-training data decisions support downstream fine-tuning, alignment, and deployment goals - data choices upstream shape what's possible downstream.</p></li><li><p style="min-height:1.5em"><strong>Co-Own German-language data:</strong> Ensure deep, high-quality coverage of German-language corpora - this is core to our value proposition, not an afterthought.</p></li><li><p style="min-height:1.5em"><strong>Establish data-to-performance signal:</strong> Design and run ablation studies to validate data choices - measuring how changes in composition, filtering, or sourcing affect pre-training evaluation metrics and downstream capabilities.</p></li><li><p style="min-height:1.5em"><strong>Take data transparency seriously</strong>: Maintain data lineage and provenance so the team knows exactly what went into each training run.</p></li></ul><h2><strong>Your Profile</strong></h2><h2><strong>Basic Qualifications</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Track record of shipping impactful technical work - whether that's research, infrastructure, or both.</p></li><li><p style="min-height:1.5em">Strong Python skills and comfort with data engineering and ML infrastructure, including experience with deep learning frameworks, workflow orchestration, object storage, columnar data formats, and distributed processing.</p></li><li><p style="min-height:1.5em">Ability to reason about what a dataset contributes to model training and whether it matters - not just process data, but understand it.</p></li><li><p style="min-height:1.5em">Ownership mentality: you see problems through from diagnosis to solution to deployment.</p></li><li><p style="min-height:1.5em">Willingness to relocate to Heidelberg or travel at least fortnightly.</p></li></ul><h2><strong>Preferred Qualifications</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience with large-scale data processing for ML, including corpus sourcing, curation, cleaning, deduplication, and filtering.</p></li><li><p style="min-height:1.5em">Familiarity with data quality methods: classifier-based filtering, heuristic scoring, perplexity-based selection, and decontamination.</p></li><li><p style="min-height:1.5em">Understanding of foundation model training - how data composition, scale, and mixing ratios affect capabilities.</p></li><li><p style="min-height:1.5em">Experience with web-scale data sourcing and crawl processing (e.g., Common Crawl, WARC pipelines).</p></li><li><p style="min-height:1.5em">Rust proficiency (parts of our data pipeline are performance-critical).</p></li><li><p style="min-height:1.5em">Infrastructure knowledge - experience with Kubernetes, container orchestration, or cloud-native ML infrastructure.</p></li><li><p style="min-height:1.5em">PhD in machine learning, NLP, data engineering, or a related field (valued but not required - we care about what you can do).</p></li><li><p style="min-height:1.5em">Bonus, but not required: German language proficiency can be helpful for curating and assessing German-language data.</p></li></ul><h2>Compensation and Benefits</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Become part of an AI revolution!</p></li><li><p style="min-height:1.5em">30 days of paid vacation</p></li><li><p style="min-height:1.5em">Access to a variety of fitness &amp; wellness offerings via <a target="_blank" rel="noopener noreferrer" class="theme markdown__link" href="https://wellhub.com/de-de/">Wellhub</a></p></li><li><p style="min-height:1.5em">Mental health support through <a target="_blank" rel="noopener noreferrer nofollow" href="http://nilo.health">nilo.health</a></p></li><li><p style="min-height:1.5em">Substantially subsidized company pension plan for your future security</p></li><li><p style="min-height:1.5em">Subsidized Germany-wide transportation ticket</p></li><li><p style="min-height:1.5em">Budget for additional technical equipment</p></li><li><p style="min-height:1.5em">Flexible working hours for better work-life balance and hybrid working model</p></li><li><p style="min-height:1.5em">Virtual Stock Option Plan</p></li><li><p style="min-height:1.5em"><a target="_blank" rel="noopener noreferrer" class="theme markdown__link" href="https://www.jobrad.org/">JobRad®</a> Bike Lease</p></li></ul><div style="text-align:left"><img style="max-width:100%" src="https://app.ashbyhq.com/api/images/user-content/aa99046a-07f4-421d-8d6a-afe18d87eb09/a6a3f816-65cc-4590-aa69-685dcbbeac0b/image.png" /></div><ul style="min-height:1.5em"><li><p style="min-height:1.5em"></p></li></ul>

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Q75 Match 87% Klarna Berlin, Germany 2026-04-11 Est. EUR 50k–90k 40% ▲ 12% vs median
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Replacing legacy support with full-agency shopping assistants.

Q75 Match 87% Ferrari Maranello, Italy 2026-04-11 Est. EUR 30k–50k 40% ▲ 5% vs median
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Title matches your search • Salary estimate available • Direct apply link

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Developing real-time predictive models for 2026 F1 race management.

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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.

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Job search FAQs

Are remote AI roles hiring in the EU?

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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