systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep More ❯
systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep More ❯
systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep More ❯
systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep More ❯
london (city of london), south east england, united kingdom
HCLTech
systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep More ❯
Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value More ❯
Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value More ❯
engineers who enjoy building practical, custom software in fast-moving, high-impact environments. You'll work in small teams to rapidly prototype and deliver scalable AI solutions—such as LLM workflows and agentic systems—while collaborating closely with Sales, Solutions Engineers, and Customer Success to ensure our innovations meet real enterprise needs. Primary Duties/Responsibilities Collaborate deeply with clients More ❯
data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches More ❯
architectures such as ReAct for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI/ML offerings Preferably hands More ❯
languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in More ❯
Computer Science (or equivalent experience). Nice-to-Have Production experience integrating Microsoft Word (Office.js) add-ins with backend services; knowledge of M365 auth patterns. Hands-on experience with LLM/AI platformization (RAG, vector search, evals, safety/guardrails). Experience with FinOps practices and infrastructure cost management. Prior exposure to global scaling challenges (latency, data residency, multi-region More ❯
languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in More ❯
development - Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships - Experience building data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas More ❯
key stakeholders, including C-level executives, to drive adoption and long-term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally More ❯
CI/CD pipelines Experience shipping ML-powered features or systems (consumer applications preferred) Preferred Qualifications Master's degree in Computer Science, Machine Learning, or related field Familiarity with LLM serving frameworks (vLLM, TGI, Ray Serve) and GPU optimization Experience with embeddings, vector databases, semantic search implementations, model training workflows, and data pipeline development Experience integrating LLMs with tool calling More ❯
cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders, ensuring solutions are viable without reliance on cloud-based AI inferencing or LLM endpoints. Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle. Collaboration with Data Science and Engineering More ❯
guiding us to deliver impact how and where it mattersmost . Connect to your opportunity Key Responsibilities: Solution Architecture: Define and design end-to-end AI/ML/LLM solution architectures, encompassing data ingestion, processing, model training, deployment, and monitoring. Technical Leadership: Provide technical guidance and mentorship to AI project teams, ensuring the adoption of best practices and the More ❯
complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in LargeLanguage Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role offers flexibility, allowing you to work either on More ❯
with strategic client engagement. As a Senior/Principal AI Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy. Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments. More ❯
with strategic client engagement. As a Senior/Principal AI Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy. Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments. More ❯
Cambridge, Cambridgeshire, England, United Kingdom
Opus Recruitment Solutions Ltd
environments ( Docker , Kubernetes ). Strong knowledge of API testing , performance profiling, and security practices including OWASP Top 10 and penetration testing . Familiarity with AI/ML systems , including LLM evaluation techniques, output scoring, and validation frameworks. Understanding of prompt engineering , RAG , model orchestration , and hallucination detection . Awareness of ethical AI , bias detection, explainability, and regulatory compliance. Proven ability More ❯
Reading, Berkshire, England, United Kingdom Hybrid / WFH Options
Nigel Frank International
communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field More ❯
