1,651 to 1,675 of 2,324 LLM Jobs in London

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 ...

systems that allow AI agents to operate reliably in real-world environments. This isn't a role where you'll simply be wrapping an LLM API around an existing product. You'll be working on the engineering and architecture behind intelligent agents, figuring out how they should reason, interact with … multi-agent systems Build evaluation frameworks to understand how agents perform and continuously improve their reliability Work on agent workflows, context management, retrieval and LLM infrastructure Turn research and experimentation into robust, production-quality software Solve challenging problems around agent reliability, autonomy, latency and scalability Work closely with highly capable ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

We are seeking a hands-on Platform Lead to head our MLOps infrastructure and lead a high-performing DevOps team. Collaborating closely with Data Science and Engineering leaders, you will define our AI/ML ...

000London AreaMachine Learning Engineer – LLMsWant to build LLM-powered systems that have to work reliably in the real world? We're looking for an exceptional Machine Learning Engineer to help build and deploy production-grade AI systems, with a particular focus on LLMs and modern generative AI.This … across models, data, evaluation and production systems - turning the latest advances in AI into reliable, high-impact products. What you'll doBuild and ship LLM-powered features and systems into productionDesign robust evaluation frameworks to measure and improve model performanceExperiment with prompting, fine-tuning, retrieval and agentic approachesBuild data ...

reporting, and escalation. Design practical quality controls such as sampling plans, golden datasets, validation holdouts, thresholds, human review, and fallback paths. Use AI and LLM-based tools to improve speed and scale while applying appropriate testing, quality assurance, and human oversight. Translate technical and operational findings into clear recommendations, tradeoffs … issues. Have built practical dashboards, tools, automations, or operating systems and owned them from initial scoping through adoption and maintenance. Can use AI and LLM tools to accelerate real workflows while independently validating outputs and managing failure modes. Understand how to measure technical or operational systems using concepts such ...

We are building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world's largest bank. As ...

right operating model for security monitoring, balancing in-house and managed capability and keeping pace with an evolving threat landscape, including AI and LLM-enabled attacks. Measurement and reporting – define and track meaningful detection and response metrics, including MTTD and MTTR, and produce a regular programme metrics report … Engineering degree (preferred but not essential). Experience in financial services, fintech or a SaaS business serving regulated customers. Awareness of AI and LLM security risks, relevant as Pirum's own AI capabilities continue to expand. Benefits Competitive salary and discretionary bonus scheme Hybrid working options 25 days annual leave ...

Overview RSSB’s Risk and Safety Intelligence (RSI) team is at the forefront of rail safety. By analysing data, assessing risk and developing industry-leading tools and guidance, the team provides the insight that helps ...

Our client is a UK digital technology and software consultancy. Join our client and Shape the Future Were problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether were transforming ...