1,651 to 1,675 of 2,331 LLM Jobs in London

Capgemini in the UK seeks an AI LLM Engineer to design and build an AI brain for autonomous network operations. You will develop LLM-based agents, RAG systems, and multi-agent workflows across data sources. You will implement vector search, semantic retrieval, and graph-enhanced reasoning, optimize prompts, and ensure ...

Backend Software Engineer/Developer (Python LLM) Remote UK to £90k Are you a backend focussed Software Engineer looking for an opportunity to progress your career, whilst working remotely on a modern tech stack? You could be joining a scaling AI software solutions provider in a senior, hands-on role. … Salary to £90k Remote working (Pension Healthcare Apply now to find out more about this Backend Software Engineer/Developer (Python LLM) opportunity. ...

passionate about applying the latest advancements in LLMs to create user-centric products. In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding … work will be pivotal in scaling Granola to its next 100x growth milestone. In this role, you will: Own the development and application of LLM-based features end-to-end Build and maintain evaluation frameworks for prompt iteration and semantic retrieval Optimize embeddings and vector stores for performance and scalability ...

features and improve quality over time Turn complex AI/ML capabilities into simple, intuitive mobile interactions Use AI tools (e.g., Claude Code/LLM‐based coding assistants ) to accelerate development while maintaining a high‐quality, well‐tested codebase Collaborate across product, design, and backend in a fast-moving environment … development tools (e.g., Claude Code, GitHub Copilot, etc.) as part of your workflow, with good judgment about code quality and security Familiarity with LLM‐driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UX Track record building consumer‐facing apps; ideally you’ve shipped ...

features and improve quality over time Turn complex AI/ML capabilities into simple, intuitive mobile interactions Use AI tools (e.g., Claude Code/LLM‐based coding assistants ) to accelerate development while maintaining a high‐quality, well‐tested codebase Collaborate across product, design, and backend in a fast-moving environment … development tools (e.g., Claude Code, GitHub Copilot, etc.) as part of your workflow, with good judgment about code quality and security Familiarity with LLM‐driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UX Track record building consumer‐facing apps; ideally you’ve shipped ...

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 ...

tools (e.g., GitHub Copilot) to accelerate delivery, improve code quality, and enhance documentation and testing. Collaborate with cross-functional teams to identify opportunities for LLM integration and develop solutions that leverage LLM capabilities. Build intelligent solutions to support MRGR staff activities, including workflow automation and insight generation. Leverages enterprise-authorized … inputs/outputs, and adherence to resiliency and security expectations. Preferred qualifications, capabilities, and skills Experience in working with large data sets. Exposure to LLM integration and deployment in real-world applications. Experience in model risk management or financial services space. #J-18808-Ljbffr ...

JPMorganChase is seeking a Software Engineer, Senior Associate, in the LLM Suite Engineering team. You will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform, writing secure, production-ready code and supporting algorithms that integrate with existing systems. You will collaborate with senior ...

JPMorgan Chase & Co. is seeking a Lead AI and ML Engineer to design, productionize, and operate LLM-powered agentic solutions on NEO. You will implement Graph RAG, create robust retrieval systems, and ensure secure, auditable AI deployments across CIB and Payments. You will collaborate with business, product, data science ...

track record of technical leadership during platform shifts - owning architecture, driving decisions, raising the bar through code review and design review, especially where LLM assisted engineering has become the standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance … moving from PMF to scale and the role needs that pace Nice to have Production experience with agentic systems - tool calling, multi-step orchestration, LLM evals. Workflow engines (Temporal, Cadence, Step Functions) - even if not Temporal specifically MCP, Anthropic SDK, or other LLM platform work Building developer platforms, internal SDKs ...

product roadmap forward. Tech Stack Includes: AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, QuickSight Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools Databases & Search: MySQL, PostgreSQL, SOLR Experience: Minimum 3 years of commercial experience in a data science or machine learning role. Education: A technical degree … 2.1 or better (or equivalent) from a top university, with a background in a relevant discipline such as Computer Science, Engineering, Economics, or Mathematics. LLM expertise: Experience both coding LLMs into production applications and effectively utilising LLM coding tools in your daily workflow. Statistical rigour: Strong, foundational statistical knowledge. Execution ...

with a demonstrated record of clean, modular, tested, production-quality code, and comfort with profiling and performance optimisation.A very good understanding of AI pipelines: LLM-based systems, agentic orchestration, retrieval and context engineering, and the evaluation and testing of non-deterministic components.Proven experience taking research or prototype code into production … numerical and data stack (NumPy, pandas, SciPy, scikit-learn, and modern columnar tooling such as Polars or DuckDB).Hands-on experience with agent frameworks, LLM APIs, and the design of evaluation harnesses for LLM-based systems.Experience with performance optimisation, parallelisation, or distributed computing.Experience working with large financial datasets, including point ...

demonstrated record of clean, modular, tested, production-quality code, and comfort with profiling and performance optimisation. A very good understanding of AI pipelines: LLM-based systems, agentic orchestration, retrieval and context engineering, and the evaluation and testing of non-deterministic components. Proven experience taking research or prototype code into production … numerical and data stack (NumPy, pandas, SciPy, scikit-learn, and modern columnar tooling such as Polars or DuckDB).Hands-on experience with agent frameworks, LLM APIs, and the design of evaluation harnesses for LLM-based systems. Experience with performance optimisation, parallelisation, or distributed computing. Experience working with large financial datasets ...

Python, Git) Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow) Experience with large-scale distributed training of LLMs and VLMs Hands‐on experience with LLM training, alignment, and reinforcement learning Knowledge of multimodal architectures and applications Research skills: Publications in top‐tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV … Soft skills: Excellent communication and presentation skills Strong collaboration and teamwork skills Passion for AI and problem‐solving Bonuses: Industry experience Experience in LLM training with RL Experience with data processing techniques Location: Paris or London. This role is hybrid, and you are expected to be in the office ...

Role You will take ownership of product development, helping to build and scale an AI-powered platform from an early stage. Responsibilities include: Building LLM-enabled products and features used by enterprise customers Designing and developing backend services, APIs, and platform capabilities Owning RAG workflows and AI application architecture Managing … evaluation frameworks, testing, monitoring, and quality standards Optimising LLM performance, scalability, and cost efficiency Working closely with product leadership and customers to shape the roadmap Establishing engineering best practices across development and deployment Your Skills & Experience Strong experience as a Product Software Engineer Proven track record building and shipping ...

Role You will take ownership of product development, helping to build and scale an AI-powered platform from an early stage.Responsibilities include: Building LLM-enabled products and features used by enterprise customers Designing and developing backend services, APIs, and platform capabilities Owning RAG workflows and AI application architecture Managing evaluation … frameworks, testing, monitoring, and quality standards Optimising LLM performance, scalability, and cost efficiency Working closely with product leadership and customers to shape the roadmap Establishing engineering best practices across development and deployment Your Skills & Experience Strong experience as a Product Software Engineer Proven track record building and shipping an LLM ...

interpret and provide clinical context for AIML‐generated insights from diverse data types, including clinical notes, pathology images, genomic data, and patient‐reported outcomes. LLM Application and Validation: Guide the application of Large Language Models for oncology use cases such as synthesising scientific literature, summarising clinical trial data, and identifying … novel patient cohorts or biomarkers. Provide clinical validation to ensure LLM outputs are accurate, safe, and meaningful. Target Identification & Biomarker Discovery: Partner with target identification and biomarker discovery teams to apply AIML in identifying and validating new therapeutic targets and predictive biomarkers, ensuring clinical utility and biological plausibility. Algorithmic ...

interpret and provide clinical context for AIML-generated insights from diverse data types, including clinical notes, pathology images, genomic data, and patient-reported outcomes. LLM Application and Validation: Guide the application of Large Language Models for oncology use cases such as synthesising scientific literature, summarising clinical trial data, and identifying … novel patient cohorts or biomarkers. Provide clinical validation to ensure LLM outputs are accurate, safe, and meaningful. Target Identification & Biomarker Discovery: Partner with target identification and biomarker discovery teams to apply AIML in identifying and validating new therapeutic targets and predictive biomarkers, ensuring clinical utility and biological plausibility. Algorithmic ...

agentic frameworks, evaluation pipelines, and observability tooling for safe, scalable enterprise AI. You will lead architectural directions, mentor engineers, and ship production-grade, LLM-backed applications. The role requires 5+ years in software engineering, hands-on experience with agentic or LLM-backed systems, and strong Python, observability, and cloud-native ...

native product area. You'll work in a cross-functional squad to: Turn ambiguous problems into well-designed, scalable AI-powered systemsBuild high-quality, LLM-driven features end-to-end — from prototype to productionDesign and integrate agentic workflows, retrieval systems, and model-orchestration pipelinesDeliver AI solutions that make a measurable … difference for customersYou'll contribute across the stack, with a strong focus on backend APIs and services that power AI/LLM-driven functionality in expenses and procurement. Our Current StackReact Node.jsJavaScript & TypeScriptLLM APIs (OpenAI/Anthropic/similar)Vector databases & retrieval pipelinesThat said, our interview process is technology-agnostic. ...

have an exciting opportunity for you at Medpace. We are currently seeking a professional with experience with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be programming and fine-tuning various AI tools and helping IT teams to implement them into new applications. This professional … algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi ...

playbook. What we’re looking for: Strong software engineering fundamentals and a track record of shipping complex systems to production. Hands‐on experience building LLM‐powered products, coding agents, or other AI systems. Experience improving model behavior through systematic iteration, whether via prompting, context engineering, fine‐tuning, preference optimization … broader post‐training methods. Practical experience with evaluation and benchmarking for LLM systems, including defining task‐grounded success metrics and catching regressions. Experience working from noisy real‐world signals rather than only from clean benchmark datasets. Good judgment about trade‐offs between model quality, latency, reliability, privacy, and cost. Confidence ...

Python Developer to design, build, and scale GenAI-powered data solutions for financial services. You will lead data pipelines, vector stores, retrieval systems, and LLM-driven apps for risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights. The role blends data engineering, ML/LLM integration, and financial ...

integrations, selective agentic patterns) Translate complex scientific and business problems into robust, well-integrated AI system designs Set the engineering bar for GenAI/LLM applications Mentor engineers and shape architectural direction across the department What you'll bring Track record building and operating LLM-powered systems in production ...

About H H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the ...