151 to 175 of 452 LLM Jobs in the UK

or publications at peer-reviewed conferences or journals PREFERRED QUALIFICATIONS Experience working in a startup or with startup customers Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation Experience with optimization of More ❯

to transforming returns management while contributing to a more sustainable future. Key job responsibilities -Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. -Use machine learning More ❯

from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based … clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. 25% Architect & scale Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines … Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework ( ADK preferred ). Proven track record shipping AI agents and building RAG pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS More ❯

from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based … clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. 25% Architect & scale Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines … Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework ( ADK preferred ). Proven track record shipping AI agents and building RAG pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS More ❯

from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based … clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. 25% Architect & scale Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines … Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework ( ADK preferred ). Proven track record shipping AI agents and building RAG pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS More ❯

from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based … clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. 25% Architect & scale Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines … Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework ( ADK preferred ). Proven track record shipping AI agents and building RAG pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS More ❯

from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based … clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. 25% Architect & scale Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines … Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework ( ADK preferred ). Proven track record shipping AI agents and building RAG pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS More ❯

We are partnered with an elite systematic investment fund in the UAE seeking Data Scientists and Data Researchers with a strong interest in AI and Finance to join their growing team. This role sits at the intersection of quantitative research More ❯

We are partnered with an elite systematic investment fund in the UAE seeking Data Scientists and Data Researchers with a strong interest in AI and Finance to join their growing team. This role sits at the intersection of quantitative research More ❯

We are partnered with an elite systematic investment fund in the UAE seeking Data Scientists and Data Researchers with a strong interest in AI and Finance to join their growing team. This role sits at the intersection of quantitative research More ❯

We are partnered with an elite systematic investment fund in the UAE seeking Data Scientists and Data Researchers with a strong interest in AI and Finance to join their growing team. This role sits at the intersection of quantitative research More ❯

We are partnered with an elite systematic investment fund in the UAE seeking Data Scientists and Data Researchers with a strong interest in AI and Finance to join their growing team. This role sits at the intersection of quantitative research More ❯

Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match More ❯

Our client is a specialist consultancy founded by acknowledged industry-leading professionals in the Data and AI space. Blue-chip backgrounded, dynamic and ambitious, they’ve successfully scaled and exited a highly innovative Data & AI SME, with their new, growing More ❯

Few&Far has teamed up with a Series A startup looking to get their Series B late 2025/early 2026; Senior Data Scientist We are seeking a Senior Data Scientist to join our growing team, reporting directly to the More ❯

DIVISION/DEPARTMENT: Risk Aggregation REPORTS TO: Manager – Exposure Management REGULATORY RESPONSIBILITY: n/a Company Background Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. More ❯

DIVISION/DEPARTMENT: Risk Aggregation REPORTS TO: Manager – Exposure Management REGULATORY RESPONSIBILITY: n/a Company Background Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. More ❯

DIVISION/DEPARTMENT: Risk Aggregation REPORTS TO: Manager – Exposure Management REGULATORY RESPONSIBILITY: n/a Company Background Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. More ❯

DIVISION/DEPARTMENT: Risk Aggregation REPORTS TO: Manager – Exposure Management REGULATORY RESPONSIBILITY: n/a Company Background Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. More ❯

DIVISION/DEPARTMENT: Risk Aggregation REPORTS TO: Manager – Exposure Management REGULATORY RESPONSIBILITY: n/a Company Background Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. More ❯

human-AI collaboration. This role is part of a bold, agentic initiative within the Pioneering Intelligence portfolio and offers the opportunity to help define the future of user-centric, LLM-enabled platforms. About Flagship Pioneering Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. … . Experience with core AWS services (e.g., EC2, S3, Lambda) and infrastructure-as-code using AWS CDK. Experience with system design, performance optimization, observability, and operational excellence during parallel LLM streams. Strong intuition for UX design and a demonstrated commitment to building delightful, workflow-first products. Excellent communication skills and collaborative mindset, especially in fast-moving, cross-functional environments. Preferred More ❯

At Insurwave, we are looking for remarkable people who thrive on making an exceptional contribution. We now have an exciting opportunity for a Data Scientist to play a key role in our Data and AI team. If making a difference More ❯

At Insurwave, we are looking for remarkable people who thrive on making an exceptional contribution. We now have an exciting opportunity for a Data Scientist to play a key role in our Data and AI team. If making a difference More ❯

Job Title - Senior Python Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We More ❯

Job Title - Senior Python Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We More ❯