Sheffield, Yorkshire, United Kingdom Hybrid / WFH Options
Educations Media Group
modern tech stack primarily centred around AWS . Our data strategy incorporates Knowledge Graphs , specifically using Neo4j. For large language models, we leverage APIs from providers like OpenAI and GoogleGemini, while also valuing experience with deploying and managing open-source models. Our front-end stack includes React/Next.js , so familiarity here is beneficial. Skills Beyond the … pipelines. GenAI Frameworks: Hands-on experience with key frameworks such as LangChain/LangGraph and/or LlamaIndex. LLM Integration: Proven ability to integrate effectively with LLM APIs (OpenAI, Gemini) and ideally experience handling open-source models. Knowledge Graphs for AI: Experience utilising Knowledge Graphs (Neo4j preferred) as part of AI architectures, as part of modern RAG systems. Highly More ❯
and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. … Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, GoogleGemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. Operational Excellence Ensure your skills and availability are maintained proactively to respond to More ❯
and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. … Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, GoogleGemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. Operational Excellence Ensure your skills and availability are maintained proactively to respond to More ❯
and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. … Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, GoogleGemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. Operational Excellence Ensure your skills and availability are maintained proactively to respond to More ❯
rigor with practical applications in ontology design, to be validated with strategy experts LLM Integration (30%) Design the technical architecture connecting knowledge graphs with LLMs like OpenAI, Anthropic and Gemini Develop context retrieval mechanisms that extract relevant subgraphs based on strategic queries Create prompt engineering templates that effectively incorporate knowledge graph structures Build response generation systems that combine graph More ❯
the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with others from Anthropic and Google Gemini. This places us at the forefront of THE most advanced technological advancements of our generation We're spearheading an unprecedented shift in how the world's asset class … product and developing new offerings to add even more value to our users. At Orbital, we leverage the most intelligent, bleeding edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AI agents, and agentic architecture, and who wants to work at the forefront More ❯
how these systems function under the hood and contribute to their development, scalability, reliability, and continuous improvement. AI Engineering: Build, test, and optimise generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Develop model evaluation pipelines and optimise model behaviour. Prompt Engineering: Craft, iterate, and test prompt strategies and templates to improve accuracy, robustness, and responsiveness More ❯
opportunities for continuous improvement Enhance existing systems and support strategic projects Contribute to a culture of innovation and collaboration KEY SKILLS & EXPERIENCE Experience with AI platforms (e.g. ChatGPT, Claude, GoogleGemini, Microsoft CoPilot) Proficient in Python, SQL, and Oracle Database Familiar with Microsoft Azure and Power Platform Strong problem-solving, analytical, and communication skills Experience with Jira/ More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Merantix
Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and adept at working with new technology Extensive experience in coding (C++ More ❯
procedures, extraction). Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use GoogleGemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products Ability to manage user expectations More ❯
Proven experience operating as a senior level engineer within a product or SaaScompany Proven experience with Python and ML libraries such as TensorFlow or PyTorch. Experience working with LLMs (Gemini), prompt engineering, and reinforcement learning from human feedback (RLHF). Experience with LangChain for building LLM applications with RAG pipelines and agent workflows. Practical understanding of vector search, embeddings … experience with prompt tuning, fine-tuning LLMs, or adapting open-source models for specific use cases. Hands-on experience with AlloyDB or similar. Experience working in cloud environments, particularly Google Cloud Platform (GCP). General engineering traits that we look for: Taking ownership: A mindset of holding yourself and others accountable, someone who can be relied on in challenging More ❯
leadership in agile environments, strong communication, mentoring abilities. LLM and RAG expertise: Building RAG architectures, integrating vector and graph databases. Transformer and LLM architectures: Experience with GPT-4, Claude, Gemini, Llama, Falcon, Mistral. Model performance and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, Hugging More ❯
scalable platforms, and creating AI-driven use cases that solve real-world business challenges. Your expertise will focus on: Designing and implementing SLM/LLM models (such as GPT, Gemini, or Llama) for various applications, including natural language understanding, text generation, summarization, and more. Building and integrating LLM-based platforms that deliver AI services in cloud-native, hybrid, or More ❯
scalable platforms, and creating AI-driven use cases that solve real-world business challenges. Your expertise will focus on: Designing and implementing SLM/LLM models (such as GPT, Gemini, or Llama) for various applications, including natural language understanding, text generation, summarization, and more. Building and integrating LLM-based platforms that deliver AI services in cloud-native, hybrid, or More ❯
scalable platforms, and creating AI-driven use cases that solve real-world business challenges. Your expertise will focus on: Designing and implementing SLM/LLM models (such as GPT, Gemini, or Llama) for various applications, including natural language understanding, text generation, summarization, and more. Building and integrating LLM-based platforms that deliver AI services in cloud-native, hybrid, or More ❯
or journals, demonstrating strong communication of complex technical concepts Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and optimizing agent behavior About the Role Google's software engineers develop innovative technologies that impact billions of users worldwide. Our products handle massive information at scale and extend beyond web search. We seek versatile engineers with … work on critical projects with opportunities to switch teams and projects as our business evolves. The Domain Applied ML team within Core ML accelerates ML/AI adoption across Google by developing efficient solutions in areas like parameter tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization manages the hardware, software, ML … and infrastructure for all Google services and Google Cloud, prioritizing security, efficiency, and reliability to shape the future of hyperscale computing, including Google Cloud's Vertex AI and Gemini models. Responsibilities Build and lead a new team of ML engineers and researchers in London Collaborate with Google Research and DeepMind to identify and prioritize emerging More ❯
Develop and implement AI/ML models and agentic architectures using tools like LangChain, LangGraph, or Semantic Kernel for agent workflows, memory, and tools. • Integrate language models (e.g., Claude, Gemini, Mistral) via APIs for enhanced language model capabilities. • Enable agents to take structured actions through function calling and tool use orchestration. • Utilize vector databases for long-term memory and More ❯
holiday, bank holidays, and birthdays off Are you a Senior AI Engineer looking to join one of the world's most innovative AI start-ups? This business, backed by Google Ventures, Balderton Capital, and TQ Ventures (who have founded over 82 Unicorns), aims to be the next big thing. The company is developing a full end-to-end AI … solving abstract problems and utilizing modern AI tools and models across the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements Strong academic background in a More ❯
including training the models and deploying. In addition to this you will have experience developing LLM applications using some of the more recent LLMs such as GPT, Llama, Claude, Gemini, Qwen and Mistral models, developed RAG pipelines and architecture, orchestrated workflows using LangChain/LangGraph/LlamaIndex etc. This role is ideal for someone with.... 2 years of experience … models Experience deploying AI models on cloud (Azure preferred) 1 years’ experience in applying NLP/LLM to legal documents 1 year experience in developing LLM applications (META, Anthropic, Google, OpenAI etc) Experience with the Azure stack (AI Foundry, Copilot Studio etc) would be beneficial Any experience of Agentic AI or Multi Agent Framework would be a bonus What More ❯
including training the models and deploying. In addition to this you will have experience developing LLM applications using some of the more recent LLMs such as GPT, Llama, Claude, Gemini, Qwen and Mistral models, developed RAG pipelines and architecture, orchestrated workflows using LangChain/LangGraph/LlamaIndex etc. This role is ideal for someone with.... 2 years of experience … models Experience deploying AI models on cloud (Azure preferred) 1 years’ experience in applying NLP/LLM to legal documents 1 year experience in developing LLM applications (META, Anthropic, Google, OpenAI etc) Experience with the Azure stack (AI Foundry, Copilot Studio etc) would be beneficial Any experience of Agentic AI or Multi Agent Framework would be a bonus What More ❯
e.g., Shadcn, Tailwind CSS, Radix UI) Understanding of accessibility and usability best practices and tooling (e.g., JAWS, Lighthouse, Axe Devtools) Familiarity with GAI tools and LLM APIs (e.g., OpenAI, GoogleGemini, AWS Bedrock) Contributions to open-source libraries or community projects or personal projects BTI360 benefits for full-time teammates Fully paid healthcare premiums Competitive salaries and performance More ❯
LLMs) with our state-of-the-art computer vision technologies. Key responsibilities include: Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI , Anthropic , and Gemini . Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience. Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with … Machine Learning (ML) . Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch . Proven experience building and deploying applications with LLM APIs such as OpenAI , Anthropic , Gemini , and DeepSeek . Hands-on experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB . Practical knowledge of LLM fine-tuning More ❯
APIs. Experience utilising OpenAI/Azure AI Service Api's and building models, tools and services with Azure AI Foundry. Good experience of applying AI productivity tools (eg ChatGPT, Gemini, Copilot in Microsoft 365) in daily workflows for task automation, documentation, and planning. Skills in prompt engineering and chaining techniques to optimise LLM outputs for production use. Experience in More ❯
and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI , Anthropic , Gemini , and DeepSeek . Hands-on experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB. Practical knowledge of LLM fine-tuning, prompt More ❯
