1 to 25 of 800 LLM Jobs in the UK

Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform ...

platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus. Collaboration and impact: Strong problem-solving ability, intellectual ...

platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus. Collaboration and impact: Strong problem-solving ability, intellectual ...

strategic AI/ML initiatives. Key Tasks Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads. Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance. Build and maintain feature stores, vector/embedding stores, and core data assets for ML. Develop ...

such as financial services, public sector, economics, healthcare or related fields. Effective at communicating technical models in business and technical contexts. Positive attitude towards LLM assisted development Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate ...

dont know yet). You may cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning ...

dont know yet). You may cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning ...

dont know yet). You may cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning ...

bots dont know yet). Youll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. ...

bots dont know yet). Youll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. ...

bots dont know yet). Youll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. ...

optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment ...

optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment ...

classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt ...

classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt ...

classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt ...

Work with large scale, multi region data sets including structured and unstructured data. Use tools such as Hugging Face, OpenAI, vector databases, and large language model frameworks to create advanced AI solutions. Optimise models through fine tuning, parameterisation, prompt engineering, and performance testing. Develop solutions across cloud environments including ...

background with proficiency in Python. Experience with API development using FastAPI, Flask, or Django. Knowledge of Docker and containerized deployments. Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral. Expertise in applying prompt engineering techniques to improve model performance and reliability. Experience in implementing ...

lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic background in IT/Computer Science/Artificial Intelligence/related field Microsoft/AI related certifications Immediate availability If you're interested ...

environment. Extensive, hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Infrastructure as Code (Terraform), Docker - containerisation. An understanding of kubernetes. Understanding of LLM architectures, inference serving optimization techniques (quantisation, caching), and MLOps tooling (e.g., MLFlow, Kubeflow). Proven experience designing, implementing, and optimising complex RAG pipelines using vector ...

Bayesian methods. Experience with core data science libraries: pandas, NumPy, scikit-learn, statsmodels; familiarity with PyTorch/TensorFlow and Hugging Face for NLP/LLM-assisted analytics is a plus. Data wrangling and querying (SQL); familiarity with Spark/Databricks or similar distributed data tools is desirable. Visualisation and storytelling ...

within finance, fintech, or consulting , especially in regulated environments. Deep understanding of AI governance, ethics, guardrails, compliance , and data privacy. Experience building or deploying LLM-powered systems , agentic workflows, and code-generation pipelines. Strong capability in code review, automated testing, and maintaining quality across AI-assisted codebases. Exceptional communication ...

within finance, fintech, or consulting , especially in regulated environments. Deep understanding of AI governance, ethics, guardrails, compliance , and data privacy. Experience building or deploying LLM-powered systems , agentic workflows, and code-generation pipelines. Strong capability in code review, automated testing, and maintaining quality across AI-assisted codebases. Exceptional communication ...

energy consumption, etc.; Build and evaluate models using appropriate techniques, including: Classical Machine Learning, e.g. regression, tree-based methods, uplift models, time-series forecasting, LLM and generative AI, e.g. prompt engineering, retrieval-augmented generation, fine-tuning or adapters where appropriate. Design and implement prediction models for use cases like churn ...

LLMs, NLP, multimodal — and turn them into secure, scalable and high-performing solutions that automate intelligence and enhance human judgement. What you’ll build LLM-powered research copilots and knowledge automation tools NLP and retrieval-augmented generation (RAG) pipelines ML systems deployed with robust CI/CD and MLOps principles ...