451 to 475 of 726 LLM Jobs in the South East

gates (faithfulness, hallucination detection) to prevent regression. Qualifications Must Haves: 5+ years of backend or ML engineering experience, with a recent deep focus on LLM application layers. Expert-level Python: Deep familiarity with FastAPI, asyncio, and pydantic. Real-Time Experience: Proven track record building low-latency voice or text systems … ship fast and manage technical debt in a rapidly evolving environment. Nice to Haves: Experience with DSPy or other programmatic prompt optimizers. Familiarity with LLM-as-a-judge evaluation setups. Knowledge of VoIP standards (SIP, SRTP) or modern voice infrastructure (e.g., LiveKit). Experience with GCP (Cloud ...

gates (faithfulness, hallucination detection) to prevent regression. Qualifications Must Haves: 5+ years of backend or ML engineering experience, with a recent deep focus on LLM application layers. Expert-level Python: Deep familiarity with FastAPI, asyncio, and pydantic. Real-Time Experience: Proven track record building low-latency voice or text systems … ship fast and manage technical debt in a rapidly evolving environment. Nice to Haves: Experience with DSPy or other programmatic prompt optimizers. Familiarity with LLM-as-a-judge evaluation setups. Knowledge of VoIP standards (SIP, SRTP) or modern voice infrastructure (e.g., LiveKit). Experience with GCP (Cloud ...

gates (faithfulness, hallucination detection) to prevent regression. Qualifications Must Haves: 5+ years of backend or ML engineering experience, with a recent deep focus on LLM application layers. Expert-level Python: Deep familiarity with FastAPI, asyncio, and pydantic. Real-Time Experience: Proven track record building low-latency voice or text systems … ship fast and manage technical debt in a rapidly evolving environment. Nice to Haves: Experience with DSPy or other programmatic prompt optimizers. Familiarity with LLM-as-a-judge evaluation setups. Knowledge of VoIP standards (SIP, SRTP) or modern voice infrastructure (e.g., LiveKit). Experience with GCP (Cloud ...

gates (faithfulness, hallucination detection) to prevent regression. Qualifications Must Haves: 5+ years of backend or ML engineering experience, with a recent deep focus on LLM application layers. Expert-level Python: Deep familiarity with FastAPI, asyncio, and pydantic. Real-Time Experience: Proven track record building low-latency voice or text systems … ship fast and manage technical debt in a rapidly evolving environment. Nice to Haves: Experience with DSPy or other programmatic prompt optimizers. Familiarity with LLM-as-a-judge evaluation setups. Knowledge of VoIP standards (SIP, SRTP) or modern voice infrastructure (e.g., LiveKit). Experience with GCP (Cloud ...

gates (faithfulness, hallucination detection) to prevent regression. Qualifications Must Haves: 5+ years of backend or ML engineering experience, with a recent deep focus on LLM application layers. Expert-level Python: Deep familiarity with FastAPI, asyncio, and pydantic. Real-Time Experience: Proven track record building low-latency voice or text systems … ship fast and manage technical debt in a rapidly evolving environment. Nice to Haves: Experience with DSPy or other programmatic prompt optimizers. Familiarity with LLM-as-a-judge evaluation setups. Knowledge of VoIP standards (SIP, SRTP) or modern voice infrastructure (e.g., LiveKit). Experience with GCP (Cloud ...

gates (faithfulness, hallucination detection) to prevent regression. Qualifications Must Haves: 5+ years of backend or ML engineering experience, with a recent deep focus on LLM application layers. Expert-level Python: Deep familiarity with FastAPI, asyncio, and pydantic. Real-Time Experience: Proven track record building low-latency voice or text systems … ship fast and manage technical debt in a rapidly evolving environment. Nice to Haves: Experience with DSPy or other programmatic prompt optimizers. Familiarity with LLM-as-a-judge evaluation setups. Knowledge of VoIP standards (SIP, SRTP) or modern voice infrastructure (e.g., LiveKit). Experience with GCP (Cloud ...

Role: Engineering Lead/Engineering Manager Location: Hybrid – London Salary: Up to £130,000 + benefits About the Company We're an award-winning technology company building cutting-edge products that power the future of ...

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 ...

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 ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...