Top Python Jobs in Dublin

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

Build and operate shared AI platform infrastructure for LLM applications, agents, RAG, tool calling, and AI workflows. Develop data and knowledge pipelines, secure enterprise integrations, reusable frameworks, deployment and observability standards, and developer tooling. Take AI systems from experimentation to reliable production while ensuring security, privacy, governance, scalability, quality, and cost efficiency. Collaborate across Engineering, Product, and IT to establish practical AI platform patterns and guardrails.

Own enterprise content migrations from scoping through delivery. Work with customers to understand content structures, set expectations, and transform documentation from PDFs, HTML, RST, Confluence, and custom formats into GitBook. Build Python scripts, reusable tooling, and migration pipelines; document repeatable processes; support pre-sales scoping; and provide product feedback based on migration challenges.

Develop automated tests and genomic data analysis pipelines to validate code deployments, detect errors, and ensure the accuracy and integrity of clinical-grade sequencing workflows. Collaborate with software engineers and variant curators to improve bioinformatics processes and prevent production issues. The role combines bioinformatics expertise, large-scale genomic data analysis, software quality engineering, and test automation in a fully remote genomic health platform.

Own the technical pre-sales lifecycle for strategic enterprise accounts across Europe, including discovery, solution architecture, workshops, POCs, competitive positioning, and technical closure. Advise executive security and infrastructure stakeholders on machine identity, PKI, CLM, Zero Trust, and post-quantum cryptography. Deliver complex multi-product solutions across hybrid cloud and Kubernetes environments, support partners, contribute to enablement resources, and provide product feedback. French fluency and 30–40% regional travel are required.

Leads the innovation and technology roadmap for statistical programming in pharmaceutical and CRO environments. Evaluates AI tools, modernizes SAS workflows with R and Python, develops reusable packages and automated pipelines, and provides technical direction for R Shiny applications. Establishes architecture and deployment standards, while supervising, mentoring, and developing statistical programming staff.

Partner with data and engineering teams to evaluate, onboard, and expand Deepnote by designing solutions, running proofs-of-concept, leading technical discovery, troubleshooting, and enabling customers while collaborating with sales, product, engineering, and customer success.

Lead design and implementation of a production-grade LLM inference platform: deploy and serve models on GPU infrastructure, optimize latency and cost with quantization/batching/caching/routing, build infrastructure in Python or Golang, operate serving frameworks (vLLM, SGLang, TensorRT-LLM), and own the inference roadmap working with CTO and Product.

Design, build, and maintain automated test suites, evaluation scenarios, metrics, and datasets for AI-powered features. Automate QA workflows with Python and CI/CD, test APIs and ML model outputs, define quality strategy and acceptance criteria, create CI/CD quality gates, mentor teams, participate in code reviews, and document findings.

Customer-facing technical engineer who deploys and integrates Devin into production, leads demos and pilots, identifies high-impact use cases, implements customer-requested features, drives adoption, and serves as the primary technical partner to engineering teams.

Senior software engineer responsible for designing, developing, and maintaining business-critical applications. Collaborate with product, QA, DevOps, and stakeholders to translate requirements, implement scalable Java/Python solutions on AWS, address technical debt, improve performance, participate in code reviews, support releases, and ensure application stability and continuous improvement.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Lead end-to-end projects for Pyroscope: design, build, and operate ingestion, storage, and query components of a distributed profiling database. Drive product decisions, own SLOs and cost targets, participate on-call, collaborate across Grafana teams, engage with customers and the open-source community, and improve operational excellence and adoption.

Design, build, and operate production ML systems for rewards optimization, recommendation/ranking, uplift and causal measurement, and experimentation. Own feature pipelines, training, deployment (batch/APIs/services), monitoring, retraining, and model lifecycle. Mentor teammates and establish ML engineering standards while delivering data products from prototype to production.

Design and scale mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include architecting backend systems and APIs, maintaining software quality and test coverage, participating in code reviews, and troubleshooting incidents and bugs. The role uses Go and Python with REST, gRPC, WebSockets, SSE, Docker, Kubernetes, Google Cloud, BigTable, Prometheus, Grafana, and ELK.

Provide Tier-3 technical support for Arista networking products: troubleshoot complex customer environments, reproduce issues in lab, work with customers and engineering teams, document cases and recurring product issues, and recommend corrective actions.

The Technical Solutions Engineer will design and develop integrations between the iVerify platform and enterprise ecosystems, focusing on APIs and customer success.

Operate and scale internal engineering infrastructure and CI/CD platforms; build automation to reduce toil; ensure observability, reliability, and security; manage incidents and runbooks; coordinate maintenance and vendor support; collaborate with development teams to improve developer workflows and platform performance.

Build, deploy, and operate agentic AI solutions in enterprise customer environments. Design agent prompts, tool calls, and integrations; implement data pipelines and dashboards; ship production code; co-build with customers and partners; provide field feedback to product teams; and support measurable business outcomes.

Lead end-to-end customer engagements to define and deploy agentic AI strategy and solutions on the Salesforce platform. Own delivery, adoption, stakeholder management, program management, and product feedback while partnering with engineers to ensure measurable customer value.

Lead design, deployment, and maintenance of AI agent platforms and infrastructure. Build IaC and automation (Terraform, Boto3), implement observability (OpenTelemetry, Datadog), ensure security, scalability, cost optimization, and high availability. Support AI researchers via CI/CD, load testing, vulnerability assessments, and documentation; troubleshoot platform issues and evaluate third-party AI hosting products.

10-week Dublin-based internship where graduate students work on quantitative research and algorithm development for market making. Interns apply statistical modeling, machine learning, and deep learning to large trading datasets, complete one or two mentored projects, and receive training and social perks.

Designs, manages, and develops technical training and curricula for customers, employees, and partners. Leads instructional design, coordinates SMEs, manages multiple course development projects, delivers instructor-led and train-the-trainer sessions, updates content for product releases, and ensures training quality and consistency.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

The Developer Relations lead will build a developer community, create technical content, run workshops, and represent ai& at events. The role combines technical skills with community engagement, focusing on authentic relationships and developer feedback.