Build and optimize real-time data pipelines and backend services, develop and deploy ML models for fraud detection, produce production-ready features, and collaborate with platform/backend engineers. Technologies and practices mentioned include PyTorch, Scikit-learn, Go, SQL, Docker, Kubernetes, CI/CD, observability, and work with device/behavioral data and privacy/security requirements. Role is remote and open to candidates in UK, Germany, Ireland, Spain, Poland, Bulgaria, or Lithuania.

Twilio is hiring a Machine Learning Engineer (remote from Spain) to develop and deploy production ML solutions that extract meaning from voice and messaging data. Responsibilities include end-to-end ML pipeline implementation (data ingestion, feature engineering, model development, validation, deployment), instrumenting services with metrics/logging, participating in on-call rotations, and collaborating on design and code reviews. Required: 2+ years in ML engineering or applied ML, proficiency in Python and an ML framework (PyTorch, TensorFlow, or JAX), familiarity with NLP libraries (Hugging Face, NLTK, SpaCy), experience with model versioning and experiment tracking, and cloud infrastructure experience (AWS/GCP/Azure).

Role responsible for designing and operating canonical customer datasets that unify CRM, marketing, billing, product telemetry, and support data; building enrichment, deduplication, entity resolution, validation, monitoring, drift detection, and lineage; and preparing structured and unstructured data for downstream AI workflows (RAG, embeddings, agents). Requires 3+ years building production pipelines for ML/LLM systems and experience with Python, SQL, cloud infrastructure, and orchestration tools. Salary range provided: €67,000–€106,000 EUR (base).

Lead technical direction for evaluating and scaling conversational search and agent quality (RAG, agents, tools, retrieval, citations, memory). Define evaluation strategies, metrics, and decision frameworks; prototype and productionize evaluation pipelines and telemetry; collaborate with engineering, product, and UX; mentor data scientists. Requires 8+ years applied DS/ML experience with expertise in IR, NLP, ranking, semantic search, RAG/LLM systems and hands-on experience with Python, PyTorch/Transformers, and Elasticsearch.

Safeguard Global is hiring remote Software Engineers to shape a serverless, event-driven platform on AWS. Responsibilities include designing and shipping agentic AI systems, building evaluation frameworks, owning AI features from prototype to production, and managing operational economics of AI. Preferred skills include TypeScript/Node.js, Python, AWS serverless (Lambda, EventBridge, S3, API Gateway), IaC (CDK/Terraform), observability, and experience with RAG/agentic systems.

MailerLite seeks a Machine Learning Engineer to build and ship predictive models on large-scale behavioral data and fine-tune LLMs to power a goal-driven assistant. Responsibilities include data preparation, training and inference pipelines, evaluation harnesses, and production serving. Requires 3+ years of production ML experience, hands-on LLM fine-tuning, strong Python and modern ML stack skills, and at least 4 hours overlap with CET. Remote-first role with advertised annual salary range €55k–€80k.

Senior data science leader role requiring 10+ years in data science/ML engineering and 4+ years managing teams. Responsibilities include setting multi-team roadmaps, mentoring, overseeing statistical modeling, experiment design, classifier implementation, LLM/AI work, improving data pipelines, and ensuring privacy-aware analytics across product and revenue areas. Position is remote with listed country eligibilities and includes an annual compensation figure disclosed for the US.

Join NVIDIA's EMEA Media & Entertainment team as a Solutions Architect to drive adoption of GPU-accelerated AI platforms for video use cases. Responsibilities include architecting end-to-end video analytics and generative workflows, leading customer PoCs, and designing scalable inference from Edge to large Cloud clusters. Requires MS/PhD or equivalent and 5+ years in computer vision (detection, segmentation, tracking), experience with VLMs and generative models, proficiency with PyTorch, and expertise in model deployment, quantization, and inference at scale. Familiarity with NVIDIA SDKs (DeepStream, TensorRT, Triton, TAO, Holoscan, NeMo), Omniverse, and containerization (Docker/Kubernetes) is a plus.

Veeva is hiring a Data Engineer to design, build, and maintain end-to-end HCO data pipelines and Lakehouse architectures using Python and PySpark on cloud platforms (AWS/GCP). The role involves operating LLMs in production, ensuring data integrity and scalability for over 4 million entities, and owning monitoring, logging, and performance metrics. Total compensation range listed: 65,000–110,000 EUR.

Sardine seeks a Senior Data Scientist (7+ years) to measure, understand, and improve risk strategies for fraud and AML. Responsibilities include prototyping and deploying ML models and graph analytics, conducting EDA and cohort analyses, defining and tracking performance metrics, creating self-serve dashboards (Tableau/Sigma/Metabase), and collaborating with engineering and product teams to scale models into production. Role is remote-first with candidates in UK, Germany, Ireland, Spain, Poland, Bulgaria, and Lithuania eligible.

Design, build, and evolve machine learning systems that power Hopper's pricing engine: implement automated training pipelines, ETL and feature engineering, deploy real-time ML pricing solutions, monitor production for latency/drift/skew, and run champion-challenger tests. Requires ~5+ years experience and proficiency with Python, Scala, SQL, distributed data processing and production ML systems.

Join DuckDuckGo's Data Science team to drive product and business impact via statistical modeling, experiment design, Bayesian marketing analysis, classifier implementation, and production ML/NLP/LLM work. Role requires 7+ years' experience, production-grade Python, advanced SQL and familiarity with columnar databases (BigQuery, ClickHouse, Redshift, Druid). Position is remote with expected ~40 hours/week and at least two company travel events per year. Compensation is $178,500 USD annually plus stock options.

Owner of the AI-native finance platform: assess finance operations, design the long-term agentic architecture, and deploy production agentic workflows (reconciliations, close, treasury monitoring, reporting, controls). Role requires hands-on experience deploying agentic/LLM-orchestrated systems in production, Python-based orchestration, integration with finance systems (e.g., NetSuite, BlackLine), and designing automation that preserves SOX-level controls and auditability.

Join Veeva Data Cloud's AI team to design, integrate, and optimize end-to-end AI pipelines and ML infrastructure (AWS/GCP). Responsibilities include leveraging generative AI, building scalable, cost-efficient solutions, CI/CD for ML, data annotation/evaluation pipelines, and collaborating with cross-functional teams. Requires 4+ years professional software development (4+ yrs), 2+ years ML engineering, strong Python, cloud experience, Terraform/IaC, Kubernetes, data engineering and monitoring skills. Total compensation listed: 55,000 - 110,000 EUR.

Join the AI team to perform applied research on problems related to home design and visual understanding. Work with raw and unstructured data (images, video, 3D point clouds, meshes, text), design and run experiments, train and evaluate ML/DL models, and implement prototypes/MVPs for production. Requires 4+ years in AI/ML research or applied machine learning and proficiency in Python and deep learning frameworks (TensorFlow or PyTorch).

Lead technical direction for LLM inference optimization (Kimchi), improving throughput, lowering latency, and maximizing KV cache efficiency across GPU SKUs and distributed topologies. Requires 5+ years building ML systems/inference or training infrastructure, strong Python, hands-on experience with vLLM/SGLang/TensorRT-LLM, quantization fluency, distributed systems knowledge, and a measurement-first approach. Remote-first role available in multiple European countries.

Responsible for end-to-end development of production search and ML services, including defining approaches for NLP and information retrieval, building data pipelines and scalable web services, testing, deploying, monitoring, mining usage data, and mentoring junior engineers. Requires expert-level Python and 7+ years building scalable, reliable search applications; English required.

Join Veeva Link as a Data Engineer responsible for designing, implementing and operating Spark-based data pipelines and parts of the data processing platform. Work involves JVM-based languages or Python, cloud software (AWS/GCP), observability and close cooperation with data science to operate ML models. Total compensation listed: 65,000 - 110,000 EUR.

Sardine is hiring a Senior Data Scientist to design, prototype, and productionize machine learning and graph analytics solutions for fraud and risk use cases. The role involves client-facing problem solving, metrics definition, dashboard automation, collaboration with engineering to scale models, and requires 7+ years of relevant data science or quantitative experience with strong Python/R and SQL skills.

Senior role to develop scalable library software and optimize high-performance parallel numerical applications across CPU and GPU (CUDA). Requires 5+ years experience, strong C/C++ and software-development skills, performance tuning, benchmarking, and collaboration across distributed teams. Python and familiarity with CI/CD and profiling tools are desirable.