126 to 150 of 353 LLM Jobs in London

delivery of key features—from design to production rollout. Develop background processing systems, task queues, and agent orchestration. Work hands‐on with LLM integrations, RAG pipelines, and AI‐driven systems. Enhance system performance across SQL queries, APIs, and distributed jobs. Build and operate cloud infrastructure on GCP. Lead debugging ...

deployment, distributed systems design, high‐throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‐ and ML‐driven features. This role is ideal for someone who thrives in fast‐moving environments, enjoys deep technical problem‐solving, and wants their work … engineers, and product teams Champion platform best practices, architectural improvements, and automation What You’ll Bring Extensive experience building and deploying distributed ML or LLM systems Expertise in Python, cloud platforms (AWS/GCP/Azure), and Kubernetes Strong knowledge of MLOps, model orchestration, and CI/ ...

Engineer to join a fast-growing London team working on cutting-edge AI solutions. You’ll help build and scale large language model (LLM) pipelines , RAG systems , and production-ready AI platforms. What You’ll Do Develop and maintain Python-based LLM/RAG pipelines. Design and deploy scalable … delivering real-world AI products. What We’re Looking For Strong Python experience and familiarity with AI/ML frameworks. Hands-on experience with LLM pipelines, embeddings, and RAG systems. Experience with cloud platforms (AWS, GCP) and containerization is a plus. Degree in Computer Science or equivalent practical experience. Problem ...

linguistic analysis on large multilingual datasets Develop annotation guidelines and evaluation frameworks for language AI systems Support research across machine translation, speech technologies and LLM-based translation Conduct linguistic research, including typology, sociolinguistics and corpus analysis Collaborate closely with research scientists, engineers and language experts Requirements Third level qualification ...

linguistic analysis on large multilingual datasets Develop annotation guidelines and evaluation frameworks for language AI systems Support research across machine translation, speech technologies and LLM-based translation Conduct linguistic research, including typology, sociolinguistics and corpus analysis Collaborate closely with research scientists, engineers and language experts Requirements Third level qualification ...

have built in ambiguous, fast-moving environments Someone who measures their impact in business outcomes, not just tickets closed Nice to Have 🧞 ♂️ MongoDB LLM integration experience (OpenAI, Anthropic, etc.) Background in AI-adjacent SaaS (where you were building zero-to-one) The Team & Culture 💛 10 engineers total, organised into squads ...

Python (FastAPI or similar), async programming, API design. • Data: Postgres, schema design, performance tuning. • Auth: OAuth/OIDC, JWT, RBAC/ABAC. • AI exposure: LLM integrations, function/tool calling, streaming pipelines, vector DBs, agent-based systems. This is a high-ownership, fast-moving environment with strong engineering autonomy. ...

fast, with users in mind You’ll work directly on: Core agent loops (prompting, tool selection, model choice, memory & context) High-performance, real-time LLM-powered UX Making autonomous systems reliable enough for daily, mission-critical work As a Founding Engineer, you’ll wear many hats: Backend: Python Frontend: TypeScript ...

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other ...

LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both ...

burden of obesity, diabetes, and cardiovascular disease at scale. You’d lead complex feature work on a high-traffic app, integrate AI/LLM capabilities (including conversational experiences) to support behaviour change alongside medication, and help shape the engineering culture in a senior-heavy, high-agency team. FAQ's Salary ...

Position: AI -Senior Product Owner Location: London, UK (Hybrid-2 days a week from office) 6 months contract position The Role As a Senior AI Product Owner, you will drive the strategic vision and execution ...

Contributing to the deployment of models into production environments Building and maintaining ML pipelines using AWS services Assisting in the development of GenAI/LLM-based applications (e.g. prompt engineering, RAG pipelines) Implementing best practices in experiment tracking, model versioning, and reproducibility Monitoring model performance and supporting continuous improvement Collaborating … concepts Strong problem-solving ability and willingness to learn in a fast-paced environment Ability to communicate technical concepts clearly Desirable Experience Experience with LLM frameworks (e.g. LangChain) Knowledge of vector databases or RAG architectures Exposure to Docker or containerised environments Familiarity with data processing tools (e.g. Spark, Dask) Understanding ...

Based in Hammersmith [onsite 5 days] Who Are We Hansen Technologies is a leading global provider of software and services that enable organisations to transform customer experiences and streamline critical business processes. With a rich ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Role/Job title: AI Architect Mode of working London- 3 days onsite Type of Employment- Permanent The Role: As an Artificial Intelligence Architect , you will lead client-facing initiatives at the forefront of Generative ...

AI Engineer (Contract) – £500/day Outside IR35 📍 Canary Wharf, London (3 days onsite) 🇬🇧 UK-based applicants only We’re looking for experienced AI Engineers who think holistically, automate relentlessly, and know how to turn ...

About RedCloud The global supply chain is broken—creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face ...

Architect Generative AI/LLM/Cloud (Enterprise Scale) We are seeking a highly experienced AI Architect to lead the design, standardisation, and governance of enterprise-scale AI/ML and Generative AI platforms spanning data, application, and cloud infrastructure layers. This is a senior architecture position centred on building … overseeing production-grade LLM, RAG, and agentic AI ecosystems within complex enterprise environments. Key Responsibilities Define and take ownership of AI reference architectures covering data ingestion, model orchestration, inference layers, and application integration Architect and implement LLM-based solutions (GPT, BERT, Transformer models), including RAG pipelines and vector database integrations ...

engineers, and AI researchers on national security projects Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications Explore and implement ML and LLM models on complex, multi-modal datasets Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment … design, and deliver operationally-ready AI and ML solutions Key Responsibilities: Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly Transition validated experiments into production-ready solutions, working closely with other engineers ...

hands on contributor to develop the Gen AI products along with broader squad members as well as managing other Gen AI/LLM engineers or data scientists developing Gen AI applications. Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript … integrated products. Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes. Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise. Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs. ...

scaling the platform Highly hands-on, zero-to-one role with broad ownership Essentials for this role: Production AI experience i.e. you have shipped LLM features end to end Strong Full Stack/Backend experience (open to different languages - they use Typescript & PHP) High agency/ownership on products ...

looking for: Some experience in equity research, whether buy-side, sell-side, or on your own terms. Comfortable with code, AI/LLM tooling , and a track record of shipping product. Genuinely curious and self-directed. Strong instincts for what is worth building and why. The application: Show us something ...

want to build production AI systems that major enterprises actually rely on? Have you taken LLM applications beyond prototypes and into real-world deployment? Are you ready to work with cutting-edge AI tooling while solving complex enterprise problems? A global AI and data consultancy is hiring a Senior … functional delivery squads alongside data scientists, engineers, and platform specialists. Role Summary This is a hands-on engineering role focused on designing and deploying LLM-powered systems in production environments. Engineers work across multiple enterprise engagements, typically lasting around nine months, building AI applications that solve real operational problems. ...