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Salary: £65,000 - 65,000 per year Requirements: Proven commercial experience in AI/ML research and development Strong Python development skills Experience in one or more of computer vision, NLP, LLMs or reinforcement…
Salary: £75,000 - 100,000 per year Requirements: Current hands-on experience developing Spiking Neural Networks. Strong C++ programming and software engineering skills. Knowledge of machine vision, image analysis or…
Junior ML engineer in a bank's risk management team, developing and monitoring classification, uplift, and regression models (price elasticity, early repayment and loan disbursement prediction, interest rate uplift) for credit products. Core stack: Python (catboost, xgboost, lightgbm, scikit-learn), SQL, pandas, and visualization tools.
Twoday is one of the leading digital transformation partners in Northern Europe with a global presence. With approximately 3,000 technologists, we collaborate with the most admired private and public organizations to…
Lead Go Engineer who architects and delivers scalable distributed Go backend systems while owning AI/ML integration in production — LLMs, RAG pipelines, OpenAI APIs, LangChain. Mentors senior engineers, runs architecture/code reviews, and improves CI/CD and observability, working remotely on 09:00–18:00 CEST hours.
Develop and implement causal machine learning models to power decision‑making across DoorDash’s new verticals such as grocery, convenience, and retail, handling high‑dimensional marketplace data.
A senior engineer-economist who designs, deploys, and productionizes ML systems applying causal inference and econometrics to marketplace problems like pricing, matching, logistics, advertising, and uplift modeling at a large multi-sided marketplace. Core stack: Python, SQL, Pandas, scikit-learn, XGBoost, and cloud ML infrastructure.
RavenPack seeks a contract Senior ML/NLP Engineer (remote, based in Marbella, ES) to design, train, and deploy transformer-based NLP models that plug into its large-scale, low-latency detection pipeline for its financial data analytics/GenAI platform. Day-to-day work spans MLOps, model optimization, evaluation frameworks, and integration with existing production systems.
Build and deploy ML models in Python (TensorFlow/PyTorch) to power ad-targeting systems, then monitor them in production and iterate weekly.
Middle ML engineer at a new AI lab building voice AI agents and an AI-native CRM for auto dealers. Day to day: build the end-to-end voice stack (STT → LLM → TTS), work on latency, recognition quality and diarization, and experiment with LLM prompting and agent pipelines on proof-of-concept projects.
Build and fine-tune LLMs, craft AI agents, and deploy ML models using Python, PyTorch/TensorFlow, and LangChain/LlamaIndex in a remote R&D team.
Develops and deploys machine learning applications that analyze operating-room video and sensor data to improve surgical workflows, covering event detection, segmentation, and object detection. Works across the full ML lifecycle in Python with modern ML tooling and cloud infrastructure (ideally AWS) on the Snke platform.
The Senior Machine Learning Engineer will design, build, and deploy personalization models to improve user recommendations and retention within the Too Good To Go marketplace. The role involves working with a Python-based stack including Metaflow, Airflow, and cloud infrastructure to drive marketing personalization efforts.
Senior Machine Learning Engineer at Playtika (mobile game maker) designing and running large-scale, high-throughput ML serving and real-time personalization systems used by millions of players. Core stack is Python (FastAPI, Pydantic) with Kafka, PySpark, Airflow/MLflow/Kubeflow, and Docker/Kubernetes for deployment, plus GenAI/agent tooling and production observability.
Lead a team building Avalara's large language model platform, handling design, prototyping, CI/CD, and production deployment using Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS and related tools.
Builds production-grade LLM agents and classical ML models for bank collateral evaluation, integrating retrieval, agentic workflows, and risk controls in a regulated finance setting.
Senior Consultant AI/ML Engineer in EY's AI and Data practice in Quebec: works with client stakeholders to design, integrate, and test AI/ML solutions within client technology stacks. Core stack is Python with TensorFlow/PyTorch/Scikit-learn, cloud AI services (AWS, Azure, GCP), Git, and AI testing tools; bilingual French/English is required.
Leads architecture and hands-on development of AI-enabled geospatial and crisis management platforms for the SAFEPLACE project and ESA initiatives in Madrid, building React dashboards, Python/FastAPI backends, geospatial services (Cesium, GeoServer, PostGIS), and LLM/RAG-powered AI services in containerized cloud environments.
Designs, builds, and runs scalable machine-learning platforms that power OTT content recommendations and personalization for Coupang Play, focusing on low-latency, high-throughput inference systems.
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