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An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
The GenAI Python Systems Engineer designs and develops scalable AI and machine learning solutions for clients using Python and Scikit-Learn. This role involves building data pipelines, conducting complex data analysis, and collaborating with teams to deliver AI-driven automation.
The Junior AI Engineer will develop and deploy end-to-end AI applications, including LLMs and RAG systems, using Azure and Databricks. The role involves building scalable AI pipelines and collaborating with departments to implement AI use cases within a high-tech environment.
The Junior AI Engineer will develop and deploy production-ready AI applications, including LLMs and RAG systems, using Azure and Databricks. The role involves building AI services and pipelines while collaborating with stakeholders to implement innovative AI solutions.
Junior AI Engineer designing scalable ML solutions on Google Cloud, collaborating with data architects, scientists, and engineers to ship ML to production using MLOps tools and architecture guidelines.
Location: Preston HQ — Hybrid (3 days in office, 2 days from home) Hours: Monday to Friday Contract: Permanent, Full-Time ABOUT OUR CLIENT Our client is a growing Managed Service Provider (MSP) based in Preston,…
Junior AI Software Engineer building, testing, and deploying ML pipelines in secure defense/intelligence environments using Python, Docker, and cloud platforms (AWS/Azure).
Junior prompt engineer building internal data tools that use large language models to process information more efficiently, supporting a project for a Berlin-based tech partner.
The Junior AI Engineer will develop and deploy AI/ML models and integrate them with core financial systems using the Microsoft Azure technology stack. The role involves data preparation and collaboration with cross-functional teams to support digital transformation.
Junior AI Software Engineer building GenAI, Agentic AI, and cloud-native applications using Python, React, Docker, and cloud platforms (Azure/AWS/GCP) within an AI & Innovation team.
Design and deploy AI-enabled embedded systems on a multi-vendor AI chiplet platform, bridging hardware, AI accelerators, and software stacks in automotive/industrial environments using C++, OpenVX, OpenCL, and Vulkan.
Builds and maintains AI infrastructure, including LLM inference services, pipelines for closed-source models, and observability tools, while collaborating with cross-functional teams to integrate AI-powered tools and meet surge inference demands.
Build end-to-end features across frontend, backend, and AI/LLM components for internal tools, automation, and data-driven products at the world’s largest crypto exchange.
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
Builds and scales production-grade AI/LLM systems, including RAG pipelines, chatbots, and automation workflows, using Python/JS and cloud infrastructure to solve enterprise challenges.
As a Manager in Tax Innovation, you will lead multidisciplinary teams to design, develop, and deploy scalable AI and Generative AI solutions for tax practice operations. The role involves utilizing foundation models, agentic systems, and modern software engineering practices to deliver secure, production-ready AI applications.
Builds and evaluates AI-driven tools and APIs, designs language model workflows, and integrates AI into scalable solutions.
Supports the creation and development of AI/ML solutions, builds prototypes using Generative AI and Large Language Models, prepares and analyzes data, and collaborates with teams. Core technologies include Python, Generative AI, LLMs, and cloud platforms like Azure/AWS/GCP.
Build, iterate, andmaintain LLM-powered applications — including chatbots, document processingpipelines, predictive analytics interfaces, and intelligent search systems Design and optimise RAG(Retrieval Augmented…
The Junior AI Engineer will design and develop AI-powered tools, dashboards, and automation workflows using LLMs, RAG, and AI agents. The role involves full-stack development using technologies like Python, React, and Node.js to support internal applications and digital governance initiatives.
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