1,351 to 1,375 of 2,910 LLM Jobs in England

operationalize Comply's semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This is a hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery … financial and regulatory data invector spaceBuild and operate vector database infrastructure for semantic search and similarity retrievalImplement RAG (Retrieval-Augmented Generation) architectures that ground LLM outputs in Comply'sproprietary dataEvaluate and integrate LLM tooling and frameworks appropriate to Comply's use casesData Pipeline & Platform EngineeringBuild reliable, observable data pipelines that ...

that can operate within the company's wider technology ecosystem. You will be involved in: Designing and developing AI agents and agentic workflows Building LLM-powered applications and automation Integrating AI with existing CRM, PMS, databases, APIs and internal systems Developing AI solutions that can reason, retrieve information, make decisions … looking for someone who has genuine commercial experience building AI solutions, rather than someone who has simply experimented with ChatGPT or integrated an LLM API. You may have a background as an AI Engineer, Generative AI Engineer, Machine Learning Engineer, Software Engineer or AI Solutions Engineer, but you will have ...

Job Introduction Handelsbanken is a relationship bank built on trust, long-term thinking and local decision-making. We provide bespoke banking and wealth management services to personal and corporate customers. Our decentralised model means decisions ...

CAPGEMINI INVENT At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive ...

driving further adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also … setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About ...

language and technology and who are keen to use their technical abilities to develop automated, scalable solutions to challenges in the Large Language Model (LLM) space. Applying a combination of expertise in LLMs, coding, and natural language, they will overcome complex problems in model evaluation, automation, and context engineering … should also have exceptional writing and communication skills with the ability to interface between both technical and non-technical teams. Key job responsibilities- Develop LLM-as-a-judge systems to support Human-in-the-loop evaluations- Automate operations and perform data analysis using scripting languages (e.g. Python)- Author, optimize ...

workbenches Tech stack: Java, Python, AngularJS, Angular AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning ...

self‐service AI tools. Contributing to documentation supporting responsible AI and governance practices. About you Proven experience building and deploying production‐grade AI and LLM‐powered applications, ideally using Python. Hands‐on experience with leading LLM platforms such as AWS Bedrock, OpenAI, Anthropic, or similar technologies. Strong understanding of retrieval ...

multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We're using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind … maintain business-critical AI agent services. Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production. Integrate tests and validation to improve AI agents through evals and monitoring. Work with software engineers and architects to lead ...

depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) LLM evaluation, guardrails, and red-teaming tooling (hallucination detection, safety/bias ...

drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies … needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt ...

Amazon Web Services, Business Development, CI/CD, CloudFormation, DAMA, Data Architecture, Decision Intelligence, DevOps, Generative AI, Google Cloud Platform, Hybrid Cloud, Large Language Model Applications, Machine Learning, Microsoft Azure, TOGAF, Terraform, Thought Leadership, Transformation RoadmapsData & AI Strategy Consultant/Architect – AI Transformation (GenAI & Agentic AI)Are you ready … adoption of GenAI, copilots, and agentic AIArchitect intelligent cloud and hybrid ecosystems, supporting the modernisation of legacy data environmentsDesign and implement agentic AI workflows, LLM-based applications, and decision intelligence platformsDrive automation through DevOps practices, CI/CD pipelines, and Infrastructure-as-Code (Terraform, CloudFormation)Develop enterprise data ...

production, including state management, task execution, model routing, retries and observability. Support AI Infrastructure: Work closely with our AI engineers supporting production NLP, LLM and quantitative model workloads, including our in-house GPU infrastructure. Automate Infrastructure: Build and manage Infrastructure-as-Code using Pulumi and automate deployments through GitHub Actions. … Proactive, resourceful and comfortable taking ownership in a fast-moving engineering environment. Bonus : with Apache Airflow, real-time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial-market systems. Why Permutable Real Ownership: Take significant ownership of our production architecture and infrastructure. Build the Next Generation: Help ...

solutions that power AI-driven case management capabilities. Build, implement and optimise data pipelines that connect enterprise applications and systems with AI and large language model platforms. Create, refine and optimise prompts and AI workflows to improve the quality, accuracy and relevance of AI-generated outputs. Support and drive … work independently, take ownership of technical initiatives and provide leadership within a multidisciplinary team. Additional Skills & Qualifications experience with Gemini or other large language model platforms. experience working with Google Cloud Platform (GCP). Hands-on experience in agentic AI development and orchestrating agent-based workflows. Knowledge of AI-assisted ...

vendor availability. Event-driven consistency. Services coordinating over Pub/Sub — sagas across offer → contract → tenancy → payment with no distributed transaction to lean on. LLM tool calling, deterministic API calls, and other intra‐and inter‐service communications all running across the same coordination system. AI harnesses in production. Deploying agentic … into real-world operational settings — acting on real money, tenancies and legal exposure, with the guardrails, observability and correctness that demands. Non-deterministic LLM working within compliant, secure deterministic software. Our stack We build on NestJS + TypeScript on GCP/GKE , with MongoDB , Redis and GCP Pub/ ...

Kubernetes/EKS, ECS, Docker, RDS/PostgreSQL and S3. Productionise AI Workloads: Work closely with our AI engineers to deploy and operate NLP, LLM and quantitative‐model workloads, including workloads using our in‐house GPU infrastructure. Own Software Through to Production: Take responsibility for testing, deployment, performance, monitoring … comfortable taking responsibility in a small, fast‐moving engineering team. Experience with Apache Airflow, Kubernetes, real‐time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial‐market systems would be useful, but is not essential. Why Permutable? Real Ownership: Take responsibility for important production systems and influence ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Database Management Vector ...

AI/ML Engineer (Contract) London2 Days in OfficeOutside IR35£400 - £500 Per Day6 months long The Company They are a well-established media business with a strong digital presence and a growing focus on ...

range of qualifications. Tech focus: Python and AWS (or equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you'll doPartner with stakeholders across the business to explore high‐impact opportunities. … full lifecycle: problem framing, data discovery, feature engineering, modelling, evaluation, deployment, monitoring, and iteration. Build and productionize LLM features where appropriate (retrieval‐augmented generation, evaluation, safety guardrails, cost/latency optimization) on AWS. Contribute to DS/ML standards: experimentation, model governance, documentation, and reproducibility. Mentor junior scientists, work with ...

generation AI-powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure. What you'll do Technical Leadership & Architecture: Define …/SLO design, observability platforms (metrics/logs/traces), incident management, and automated RCA. Preferred Qualifications AI & Agentic Systems: Hands-on experience building LLM pipelines, AI Agents, Model Context Protocol (MCP) servers/clients, RAG architectures, and evaluation frameworks. Observability & Telemetry: Experience with OpenTelemetry (OTel), Prometheus, Grafana, Splunk, ThousandEyes ...

Strategy and Execution for the BCG's Core AI/Intelligence LayerOwn and evolve the Gen (AI) platform vision and agentic systems, including LLM orchestration, contextual memory, and semantic knowledge layers. Shape the roadmap for the Platform AI/Agent Development Kit (ADK) — the core toolset powering developer and team … components and services owned by the platform teams. Establish and run enterprise‐grade AI observability frameworks to monitor performance, safety, and interpretability. Continuously enhance LLM Ops, Evaluation and Quality pipelines. Ensure robust AIOps/DevSecOps, CI/CD, Infrastructure‐as‐Code, and automated delivery pipelines. What You'll BringLeadership & DeliveryOver ...

Panakeia is the world's first in silico multi-omics company, building AI solutions that power precision medicine in clinical settings, at scale. Our platform also accelerates drug discovery and development for the medicines of ...

The team you'll be working with: Role – SENIOR AI SECURITY ARCHITECT ARCHITECT CONSULTANTHybrid Variable - London or BirminghamOverviewWe are seeking an experienced Senior AI Security Architect Consultant to design, implement, and govern secure AI/ ...

At MONY Group, we've spent the last 30 years making it easier for people to save on their household bills, growing beyond comparison to support multiple areas of daily spending. As technology evolves, then ...

find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical … ready and can be readily adapted to future developments.· Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance.· Collaborate closely with product, design, and other engineering teams ...