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Build and deploy LLM-powered AI agents and retrieval systems for a bank’s client-facing copilot, using PyTorch, LangChain, and RAG pipelines.
AI Engineer designing, building, and deploying production ML and Generative AI/LLM solutions across the full lifecycle using Python, PyTorch/TensorFlow, RAG pipelines, and MLOps practices.
Type: Fixed-term contract (6 months), 40 hours per week Work Location: On the road and at customer sites. Pay: £17 per hour Licence/Certification: Full valid UK driving licence (required) Focal Systems is the industry…
This Data Engineer role involves modernizing a banking group's AWS Data Platform to support AI and generative AI initiatives. The consultant will focus on architecture, pipeline industrialization, and CI/CD processes within a large-scale data environment.
Develop and optimize embedded software for network video cameras, integrating AI models with low-level C/C++ on Linux to enable advanced object detection and analysis.
The Senior Machine Learning Engineer will design and deploy end-to-end ML systems to interpret patient healthcare requests and improve triage outcomes. The role involves collaborating with data scientists to productionize models using Python, C#, or Go within a healthcare-focused product environment.
Build full-stack Generative AI features for Google Docs, including model evaluations and AI-driven productivity tools that impact billions of users.
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design,…
Develop and optimize generative AI and machine learning models for clients across industries, using modern AI frameworks and cloud platforms.
The Senior Data Scientist will develop, deploy, and industrialize machine learning solutions for the biotechnology and life sciences sector. The role involves end-to-end ML lifecycle management, including data governance and model validation, using Python, R, SQL, and cloud platforms.
Leads AI/ML product strategy, roadmap, and delivery for a biotech client, focusing on commercial, medical, and government affairs. Works with data science, engineering, and business teams to develop AI-powered solutions for customer engagement, personalization, and decision-making.
Senior Data Scientist building and deploying production ML models and GenAI agentic workflows for Grab's financial services lending products in Singapore, using Python, Spark, and frameworks like LangGraph.
We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep…
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our…
Position Summary Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
Senior Data Scientist (PhD required) at Causal Foundry in Barcelona, building and validating predictive, causal, and decision-support models on the Kenkai AI platform using Python and SQL, while collaborating closely with engineering and partner teams on global health and supply-chain problems.
Master's thesis applying sequence-to-sequence deep learning to multivariate time series data from motorcycle test rides to predict riding states for future assistance systems, using Python, PyTorch, and XAI methods.
About Current Surgical Inc. Current Surgical is a startup company developing technology on the frontier of engineering and biology. Our first product is a smart microinvasive needle that precisely destroys tumors…
Develop and deploy ML/DL models and generative AI systems (RAG, agentic AI) for an automotive client in Pune, using Python and Azure OpenAI in an Agile, cross-functional team.
Build and scale large-scale ML infrastructure for Reddit’s recommendation systems, designing models, training pipelines, and low-latency serving to improve personalization across the platform.
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