76 to 100 of 359 LLM Jobs in London

Engineer to help scale their NLP and search capabilities . What you'll be doing • Improving search quality (precision & recall) across large datasets • Designing LLM-powered workflows and agentic systems • Building ML models and NLP pipelines for production use • Working with large-scale search infrastructure (Elasticsearch/OpenSearch) • Collaborating with ...

Analyst/Product Owner background Proven experience in Data Financial product/traded product knowledge Any experience with Machine Learning/Large Language Models (LLM)/Data Science is desirable. Excellent communication skills Salary: Excellent + bonus + package Location: London (good work from home options available ...

translate technical insights into business impact • Bachelor’s degree in CS/Engineering or equivalent experience ⭐ Nice to Have • Experience in Generative AI/LLM research • Master’s or PhD in Machine Learning or related field. About US Tech Solutions:- US Tech Solutions is a global staff augmentation firm providing ...

Responsibilities Build and operate cloud-native data platforms (BigQuery) Deliver batch and real-time pipelines (Dataflow, Pub/Sub, Cloud Storage) Drive AI and LLM-based automation initiatives Implement MLOps and LLMOps best practices Set standards for data quality, security, and resilience Lead and develop data and AI engineering teams ...

already doing this, you will fit right in. Experience building custom AI agent pipelines for data tasks — not just chat interfaces, but structured LLM workflows for data extraction, classification, or enrichment with programmatic validation. ...

build robust, scalable applications powered by large language models. The Role As an AI Engineer, you will design, build, and deploy production‐grade LLM‐powered systems . This role sits at the intersection of software engineering , AI implementation , and agentic orchestration . You will work on: Multi‐agent architectures Intelligent … observability Production workflows that ensure reliability, consistency, and scale You’ll play a critical role in crafting the orchestration layer that makes LLM systems trustworthy—handling failure modes, optimising agent collaboration, and improving robustness across diverse use cases. Key Responsibilities Build production AI systems using LLMs, RAG pipelines, vector databases ...

overcome challenges Role Requirements 5+ years of experience in software engineering or a relevant field Experience with agent architecture in a professional environment via LLM/VLM reasoning and planning systems Educational experience highly preferred (PHD, Masters etc) in a relevant area Python or other deep learning frameworks Bonus ...

vision within retail Banking, unsecured lending (credit cards and loans). This role acts as the bridge between Marketing, Analytics, Technical and AI/LLM teams focused on building new capabilities to improve the customer experience. What you'll do: Enhance the existing front-end management system to support marketing ...

functions, Python packages and REST APIs interacting with AWS Bedrock, OpenSearch, Kendra, DynamoDB, and other services. • Build and maintain Lambda functions, Step Functions, and LLM agents to orchestrate workflows. • Work with DevOps engineers on day-to-day development, deployment, and operational support. • Contribute to CI/CD pipelines and deployment ...

scale backend systems using Python and Django Own features end to end from idea through to production Design and evolve agent based workflows and LLM integrations Work with RAG style systems and context heavy data pipelines Improve performance across APIs, background jobs and data processing Collaborate closely with product ...

internal tools and lightweight platforms to improve workflow efficiency Supporting automation across reporting, document handling, internal processes, and knowledge workflows Working with AI/LLM-based solutions to solve practical business problems Helping create bespoke internal systems rather than relying solely on off-the-shelf software Collaborating closely with senior ...

empathetic AI ” looks like in high-stakes scenarios Build frameworks to evaluate and benchmark AI behaviour 🔹 Drive GenAI Product & Program Delivery Lead rollout of LLM-powered support tools (triaging, summarisation, automation) Own roadmap across Product, Engineering, and Operations Build Intelligent Feedback Loops Use data to continuously improve AI models Analyse ...

role offers complete autonomy over the build, architecture and scaling of the platform globally. The right engineer should bring experience with Neo4j, production grade LLM/AI capabilities (RAG, embeddings, inference pipelines), Kafka, Java/JVM and API-first architecture. The position offers a rare modernisation opportunity ...

challenging business opportunities. Demonstrate an understanding of a client’s business and use of leading Data Platform (specifically focused on GCP, Databricks, Snowflake), AI, LLM technologies to craft transformational value propositions for the clients. Proactively create, identify, and develop opportunities for GenAI/AI solutions. Provide domain and digital solution ...

logs, metrics, incidents, post-mortems, cloud cost ownership, AI cost optimisation Nice-to-Have SAP-style enterprise integration (IDocs, BAPIs, Integration Suite patterns) Production LLM/agentic systems with guardrails and reliability practices What we offer Private health insurance Pension plan Central working location Hybrid working Casual dress code Stocked ...

major UK enterprise. You’ll work with: Amazon Connect, Contact Flows, Amazon Lex, Lambda TypeScript/JavaScript/Python CI/CD , serverless, monitoring LLM‐powered features and AWS AI tools You must be: A hands‐on coder (not an architect) Experienced with Connect + Lex (visible in your ...

methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM-based and data-science-driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. ...

large enterprise or consulting environments Strong capability in AI value articulation, including ROI modeling, business case development, and outcome‐based selling Experience in GenAI, LLM, and Agentic AI solutions on hyperscaler platforms (AWS, Azure, GCP) Deep understanding of enterprise buying processes, RFPs, commercial constructs, and deal shaping. Ability to engage ...

scope and deliverables High quality execution‐quality execution Realization of committed business benefits Lead the deployment of solutions in areas such as Agentic AI, LLM-based technologies, low-code automation, RPA, workflow platforms, analytics, reporting, and COTS platforms. Translate strategy into actionable execution plans , milestones, and measurable outcomes tied ...

Flutter Backend systems built in Python, Rust and TypeScript Cloud-native architecture on GCP (BigQuery, Cloud Run) Extensive use of ML modelling and LLM inference Robotics and IoT integrations across operational workflows What You'll Do Take ownership of mobile engineering end-to-end using Flutter Work across the broader ...

complex TypeScript codebases Are comfortable working end-to-end across product and engineering Actively experiment with and refine AI-assisted development workflows Have built LLM-powered systems or AI agents in production environments Tech Stack TypeScript monorepo React, tRPC, Tailwind Event-driven workflows and background jobs Deployed on Google Cloud ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core values ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core values ...

positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step ...

positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step ...