1 to 25 of 286 LLM Jobs in the UK excluding London

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 ❯

such as Mlflow for model lifecycle management. Experience in building ML models in production using AWS ecosystem, especially ML related services such as SageMaker. Familiarity with large language models (LLM). Proficiency in multiple programming languages. Understanding of containerization technologies like Docker and orchestration tools like Airflow. We've got your back... We offer a range of total rewards that More ❯

Aveni is an award-winning technology company. We useadvanced AI to enable scalable efficiency for financial services companies,combining world-leading Natural Language Processing (NLP) and Large LanguageModel (LLM) expertise with deep financial services domain experience to driveenterprise-wide productivity. Aveni harnesses the power of voice to driveunprecedented efficiency and oversight. We're using the latest in AI toautomate and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Deep understanding of AI technologies, algorithms, and frameworks . Proficiency in programming languages (Python, R, C/C++, Java) and secure coding practices. Hands-on experience with ML/LLM frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Expertise in DevOps/CI/CD security and cloud-native architectures (containers, Kubernetes, Git). Strong knowledge of AI/ML-specific More ❯

financial setting. Accountabilities & Responsibilities Design and develop modern, responsive front-end applications from the ground up using React, TypeScript, and Next.js. Build secure, performant user interfaces that integrate with LLM APIs (e.g., Gemini, Azure OpenAI) and internal systems. Implement advanced front-end security features including token handling, session management, data masking, and audit logging. Translate UX/UI designs into More ❯

generative AI and machine learning solutions for commercial real estate. Apply large language models to analyse financial documents and market datasets. Engineer and optimise prompts, as well as evaluate LLM outputs for accuracy and relevance. Build production-ready Python code and integrate models into user-facing applications. Monitor and refine model performance post-deployment, making improvements based on feedback. Collaborate More ❯

phases of client projects, ensuring the delivered solution meets the design specifications and business requirements. Continuous Learning: Maintain a deep understanding of the rapidly evolving AI landscape, including new LLM capabilities, agentic frameworks, and industry best practices, and integrate this knowledge into solution designs. Required Qualifications & Skills Experience: 8+ years of experience in a technical role such as Solution Architecture More ❯

Insurance or Healthcare Cash Plan Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or More ❯

and thrive. What you'll need Experience developing or supporting AI and ML models, including the commonly used python libraries for machine learning and data pre-processing. Awareness of LLM methods and skills in prompting or fine-tuning are beneficial but not mandatory. Strong analytical and research skills with the ability to interpret complex data Familiarity with the theory and More ❯

and thrive. What you'll need Experience developing or supporting AI and ML models, including the commonly used python libraries for machine learning and data pre-processing. Awareness of LLM methods and skills in prompting or fine-tuning are beneficial but not mandatory. Strong analytical and research skills with the ability to interpret complex data Familiarity with the theory and More ❯

finish Preferred Experience 3+ years of professional software engineering experience Familiarity with GraphQL, gRPC, REST API design Experience with relational databases such as MySQL or PostgreSQL Exposure to AI, LLM integrations, or symbolic/neural hybrid systems Background in enterprise SaaS delivery or platform engineering More ❯

for data applications. Familiarity with serverless/event-driven architectures. Experience designing scalable, low-latency data services. Exposure to Datadog or CloudWatch monitoring tools. Nice to Have: Experience with LLM-powered applications or OpenAI APIs . Professional experience in a similar environment or high-scale system. Key Roles and Responsibilities: Own Data Solutions – Design, build, and operate cloud-native, high More ❯

Kafka, Flink, and/or Pulsar Strong background in event-driven architectures, streaming pipelines, and data lakes Hands-on experience with AI/ML production systems, including prompt-based LLM integrations Expert-level Java development skills, with a polyglot mindset (comfortable in Python, React, or other languages as needed) Proven experience working in multi-team, global environments with strong collaboration More ❯

data science/ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch More ❯

data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch More ❯

data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch More ❯

data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch More ❯