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An AI Solutions Engineer designs and implements AI-driven architectures (e.g., LLMs, RAG) for clients, bridging technical expertise with business needs. They lead API/data pipeline development, mentor teams, and ensure scalable, ethical AI solutions—balancing R&D with production execution.
Hands-on Data Scientist supporting LATAM client engagements on Provenir's AI Decisioning platform, building and explaining predictive models, scorecards, and analytics using Python for financial services risk and decisioning use cases.
Builds and maintains trading systems and research infrastructure for a quantitative hedge fund, using Python, C/C++, and numerical libraries to automate alpha estimation, backtesting, and portfolio construction.
Builds and maintains data pipelines and tools in Python (and Go/C++) to clean, tag, and deliver financial datasets for systematic trading models.
Design and build AI/ML systems for a global investment firm, integrating generative and traditional models into trading platforms using Python, TensorFlow/PyTorch, and cloud infrastructure.
Data Scientist working on aviation fuel-efficiency projects, building ML predictive models, KPIs, and GenAI solutions using Python, BigQuery/GCP, and MLOps tools in a hybrid role in Santiago.
Instruct and mentor a 13-week data science program covering ML, DL, NLP, GenAI, and model deployment using Python, TensorFlow, and AWS SageMaker in Riyadh.
Customer Insights Analyst using SQL, Python/R, and BI tools to analyze customer behavior, build predictive models (churn, LTV, propensity), and deliver data-driven insights to marketing and brand teams at an international travel company.
Data Scientist building production NLP/LLM solutions (RAG, semantic search, NER, summarization) on Databricks with Python for a SaaS platform serving energy and utility infrastructure sectors.
The Data DevOps Engineer will develop, deploy, and maintain data pipelines and machine learning workflows within a multi-cloud environment. The role involves collaborating with data scientists to optimize analytics platforms using tools like Python, Kubernetes, and various Big Data technologies.
Build and maintain scalable full-stack systems for the UK’s largest automotive marketplace using Java/Spring Boot, React/Angular, and Kafka, while mentoring junior engineers.
Developing and deploying production ML/DL models for time series forecasting and financial market prediction in a DeFi and algorithmic trading product team, using Python, PyTorch, and gradient boosting frameworks.
The Machine Learning Engineer will design, develop, and deploy scalable ML models for Capital Markets applications using Python, PySpark, and various ML frameworks. The role involves managing the full ML lifecycle, including pipeline development, model optimization, and production integration.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
Design, deploy, and maintain cloud and on-prem infrastructure for aerospace and defense systems, ensuring reliability and security for remotely piloted aircraft and surveillance platforms.
Varsity Tutors is looking for a remote machine learning tutor to teach students advanced topics like regression and deep learning using Python and scikit-learn. The role offers flexible scheduling and the ability to work remotely via a live learning platform.
Data Science & AI Consultant Location: Bristol, London, or Manchester (Hybrid working) Security Clearance: Active DV clearance is essential Salary: £45,000-70,000 DOE As a Data Science & AI Consultant, you will…
Build and deploy machine learning models for startups and life-science companies using Python, PyTorch, and TensorFlow in a fully remote, globally distributed team.
This Data Scientist role involves building data pipelines, developing machine learning models, and managing the data lifecycle to support business intelligence initiatives. The position requires proficiency in Python, SQL, and Big Data frameworks within an insurance environment.
Develops backend systems for AI-driven 3D design review, focusing on geometry parsing, model analysis, and AI-assisted workflows to improve engineering quality and reduce rework cycles.
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