901 to 925 of 1,214 LLM Jobs in England

Head of Performance & Analytics (Permanent) 13 July by Job Advert : Central Employment Agency Job Location: United Kingdom -England -North East England -Tyne and Wear -Newcastle upon Tyne Central Employment are working in partnership with one ...

This job is with MSCI, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Your Team Responsibilities: Join MSCI's ...

ABOUT BEAMERY We are a leading transformational AI platform in the HR technology industry, enabling enterprise companies to create better and fairer talent decisions – by accelerating their recruiting processes, unlocking successful internal mobility opportunities, enabling ...

Accenture in London seeks an AI Large Language Model (LLM) Technology Architect to lead hands‐on design and delivery of enterprise AI systems, spanning classical ML, generative AI, and agentic architectures. You will own architecture decisions, build reusable components, and create ADRs and data flows, collaborating with data engineers ...

Large Language Mode (LLM) Technology Lead/Principal Architect Career Level: Manager/Senior Manager/Associate Director You Are As a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete … deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Proven experience in the LLM and Generative AI space. Well versed in architecting and operationalizing LLM driven application architecture patterns. Deep experience in engineering, machine learning, deep learning ...

industry experience as a Research Engineer (RE) or Software Engineer (SWE). 2 years of experience building in Python. 2 years of experience with LLM agents, LLM inference/serving, reinforcement learning for LLMs, or multi-agent orchestration. Experience building 0-to-1 systems, pipelines, and scalable infrastructure. Preferred qualifications … will navigate diverse parts of our codebase and pipeline to transform research hypotheses into robust, high‐performance experiments. Your work will focus on scaling LLM agent architectures, optimizing inference and serving for complex reasoning workflows, engineering reinforcement learning pipelines, and building contamination‐immune evaluation platforms. Your technical contributions will enable ...

Discovery Sessions* French (Fluent)* German (Fluent)* Multi-agent Systems* LangGraph* CrewAI* ADK* ReAct* Self-reflection* Hierarchical Delegation* Post-sales* Technical Consulting* Large Language Model (LLM) Metrics* State Management Optimization* Granular Tracing* API Integration* Observability Frameworks* Development Best Practices #J-18808-Ljbffr ...

across the firm. We are looking for an exceptional NLP Performance Engineer to join our NLP Engineering team and take ownership of large-scale LLM inference performance. This is a specialist Quantitative Developer role. Like all our Quantitative Developers, you will work alongside researchers to bring their ideas to life … will help shape the tooling and infrastructure that underpins our NLP capabilities. Key responsibilities of the role include: Profiling, benchmarking and optimising large-scale LLM inference workloads across our compute infrastructure Ensuring efficient deployment of the latest models across a range of GPU architectures, adapting the inference stack as hardware ...

Overview Machine Learning Research Engineer – NLP/LLM Expert. A brilliant opportunity for a machine learning research engineer to work on researching and investigating new concepts for industry-leading machine-learning software in Cambridge, UK. Ideally suited to those with a Ph.D. relating to Machine Learning with a keen interest ...

Senior Researcher, AI - PhD/LLM/Deep Learning Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods for deep learning, reinforcement ...

technology in software to solve real problems faced by some of the world’s most expert litigators. Responsibilities Design, build and refine production-grade LLM agents and proprietary algorithms for expert litigators Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer … balancing real-world constraints such as token limits, cost and latency. Technical Must-Haves Expert-level Python with a track record of shipping production LLM systems Hands-on experience designing LLM agents and RAG pipelines. Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines. Solid grounding ...

AI. Job Summary As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‐grade LLM systems that power mission‐critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption … scale. Job Responsibilities You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM‐based systems for text, image, speech, and video applications. Own end‐to‐end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering ...

driven Software Founding Engineers to work with us in San Francisco on the frontend, backend, and AI components of the product. Duties AI/LLM: prompt engineering, fine-tuning, and LLM training (o4/5, Claude) Backend: Python, API integration, and cloud infrastructure (GC) Frontend: HTML, CSS, Java Script, Flutter ...

Join a global model risk organization at the heart of keeping JPMorgan Chase strong and resilient. In this role, you will shape products that enable effective model risk governance across the firm. You will partner ...

together. What is needed A strong degree in computer science or a related STEM subject from a leading university Hands on exposure to LLM APIs or machine learning through projects, internships or placements Curiosity and the instinct to dig into the data when something looks wrong Experience with Go, Python ...

role The GenAI Platform is Pleo's internal AI infrastructure team, the platform every customer-facing AI feature is built on. The team owns LLM serving (LiteLLM), the MCP gateway and tool registry, agentic runtime, evaluation tooling, and the observability layer that makes AI outputs trustworthy at scale. This … builder-leader: delivery, quality, team development, and ways of working. Own the execution of the platform roadmap including but not limited to LLM gateway, agentic runtime, MCP layer, data retrieval, eval tooling, and the hybrid architecture transition. Manage the stakeholders relationship with Data & AI Products as the primary internal customer ...

restore), survey‐based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape – coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research – and translate what … quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI‐native applications – agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM‐fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub ...

restore), survey‐based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape—coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research—and translate what … quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI‐native applications — agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM‐fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub ...

dataset. Partner with product managers, content managers and senior stakeholders to design, develop, deploy and optimise state-of-the-art AI/ML/LLM/GenAI solutions against business and user requirements. Optimise LLMs, datasets and agent workflows to the highest quality standards, detecting and mitigating hallucinations and output … errors. Deploy and maintain RAG architecture and LLM pipelines within cloud environments. Optimise data-chunking and text embeddings for optimal semantic search across a large, specialist corpus. Track the competitive landscape and stay current with technological advancements in GenAI. Monitor and optimise agent and model latency and performance. Analyse utilisation ...

judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability … full model life cycle ImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform ...

product direction and technical strategy as an early team member. Build and scale the core platform and new zero‐to‐one initiatives. Translate novel LLM capabilities into understandable, performant end‐user experiences. Release production code under a "You Build It, You Run It" ownership model—shipping, operating, and iterating … solve critical compliance problems. Build integrations, data infrastructure, and tooling to enable AI agents to automate compliance workflows. Evolve schemas and structure non‐deterministic LLM outputs for reliable downstream use. Lead customer calls and take ownership of customer outcomes. Collaborate with the founding team to mature engineering practices. Tackle scaling ...

TLDR: We are looking for an ML Infrastructure Engineer to build the systems behind our LLM post‐training, RL, evaluation, inference, and agentic development workflows. You will work close to researchers, GPUs, training loops, data control systems, evals, inference stacks, and the infrastructure decisions that directly affect model learning … example py‐spy, PyTorch profiler, Nsight, perf, tracing, metrics, logs, or custom instrumentation Have experience with inference stacks such as vLLM, SGLang, TensorRT‐LLM, Dynamo, or custom serving infrastructure Can reason from system metrics back to model behavior: when latency, queueing, sampling, data order, rollout throughput, or infrastructure failures affect ...

event-driven systems that control and optimize ad placement, policy compliance, and publisher revenue. Leverage Google's state-of-the-art AI tooling and LLM APIs to improve engineering velocity and build AI-augmented product features. Collaborate with cross-functional partners including PMs, UX, and cross-sites with other engineering … well-tested, and high-performance code, ensuring high quality and reliability across our platform.### Skills Required* Kotlin* C++* TypeScript* Dart* Angular* Java* APIs* SDKs* LLM APIs* Generative AI### Tags:UKLondonAngular DeveloperFlutter DeveloperShare Job:Application planning## What to evaluate before applying### Visa and relocation signals* Visa sponsorship is not explicitly marked ...

Summary of the Role This role will be part of a team which will focus on identifying and applying innovative AI techniques which can enhance our solutions and ways of working at Lhasa. The role ...

wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. Key Responsibilities AI-First Automation & Intelligent Tooling Define and lead an AI-first automation roadmap for Engineering … Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g., risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). ...