1,751 to 1,775 of 4,294 LLM Jobs in the UK

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied DS (core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining … Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What ...

AI Developer/Agentic AI Developer – Python, LLMs, GCP A scale-up technology-led product business services organisation is expanding it's engineering capability with over £9 Million investment, and looking for an AI Developer ...

AI Developer/Agentic AI Developer – Python, LLMs, GCP A scale-up technology-led product business services organisation is expanding it's engineering capability with over £9 Million investment, and looking for an AI Developer ...

This is design → deploy → monitor → scale. What you'll own Turn prototypes into real-world, reliable AI systems Build agentic workflows, enterprise ChatGPT apps & LLM-powered tools Deploy pipelines with testing, observability & hardened security Modernise legacy automation into intelligent, adaptive systems Partner closely with DS, DE, Product and Ops — real … Internal agentic workflows that actually make us faster What you bring Strong Python + backend engineering chops Proven experience shipping AI/ML/LLM systems into production Deep comfort with data, pipelines, APIs and ambiguity Solid grounding in responsible, compliant engineering (bonus if gaming/fintech/FS) Curiosity ...

This is design → deploy → monitor → scale. What you'll own Turn prototypes into real-world, reliable AI systems Build agentic workflows, enterprise ChatGPT apps & LLM-powered tools Deploy pipelines with testing, observability & hardened security Modernise legacy automation into intelligent, adaptive systems Partner closely with DS, DE, Product and Ops — real … Internal agentic workflows that actually make us faster What you bring Strong Python + backend engineering chops Proven experience shipping AI/ML/LLM systems into production Deep comfort with data, pipelines, APIs and ambiguity Solid grounding in responsible, compliant engineering (bonus if gaming/fintech/FS) Curiosity ...

About the Role One of my clients are on the look out for a Data Science Consultant to join a dynamic team focused on helping enterprise clients unlock the full potential of their first-party ...