51 to 75 of 573 LLM Jobs in London

Experience delivering and scaling enterprise AI/ML systems Hands-on expertise with cloud AI platforms (AWS, Azure, etc.) Strong Python engineering skills + FastAPI, CI/CD, MLOps, LLM tooling Leadership across cross-functional engineering teams If you are Interested, apply directly or reach out to jonah.brookes@oliverbernard.com Lead AI Engineer | £90K-£110K + Bonus | Hybrid in London More ❯

Experience delivering and scaling enterprise AI/ML systems Hands-on expertise with cloud AI platforms (AWS, Azure, etc.) Strong Python engineering skills + FastAPI, CI/CD, MLOps, LLM tooling Leadership across cross-functional engineering teams If you are Interested, apply directly or reach out to jonah.brookes@oliverbernard.com Lead AI Engineer | £90K-£110K + Bonus | Hybrid in London More ❯

concepts (algorithmic complexity, Big O notation, design patterns) to solve complex data challenges Lead technology selection, build vs. buy decisions, and technical roadmap development Drive continuous innovation, particularly in LLM-based applications and advanced data processing Ensure systems are built with appropriate time/space complexity considerations and optimal data structures Engineering Excellence & Hands-on Leadership Maintain hands-on involvement More ❯

on their own two feet and deliver complex solutions with confidence. You’ll be joining a small, sharp team building AI-driven products — think RAG pipelines , GenAI integrations , and LLM-powered features that actually make an impact. This isn’t a role where you hide behind Jira tickets. You’ll be hands-on , trusted to make big decisions, and involved More ❯

on their own two feet and deliver complex solutions with confidence. You’ll be joining a small, sharp team building AI-driven products — think RAG pipelines , GenAI integrations , and LLM-powered features that actually make an impact. This isn’t a role where you hide behind Jira tickets. You’ll be hands-on , trusted to make big decisions, and involved More ❯

clunky PDFs, fragmented data, and manual analysis with multi-agent AI systems that read, reason, and cite financial insights. Why this role stands out: 🤖 Work directly on multi-agent LLM systems powering deep financial research 🧠 Tackle complex AI problems like knowledge graphs, RAG pipelines, citations, and personalisation 🚀 Join a tight-knit 3-person AI team at a company 8 months More ❯

clunky PDFs, fragmented data, and manual analysis with multi-agent AI systems that read, reason, and cite financial insights. Why this role stands out: 🤖 Work directly on multi-agent LLM systems powering deep financial research 🧠 Tackle complex AI problems like knowledge graphs, RAG pipelines, citations, and personalisation 🚀 Join a tight-knit 3-person AI team at a company 8 months More ❯

enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business outcomes. Salary - £110,000 - 130,000 Working policy - 3 days onsite weekly If this More ❯

enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business outcomes. Salary - £110,000 - 130,000 Working policy - 3 days onsite weekly If this More ❯

enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business outcomes. Salary - £90,000 - 110,000 + bonus Working policy - 3 days onsite weekly More ❯

enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business outcomes. Salary - £90,000 - 110,000 + bonus Working policy - 3 days onsite weekly More ❯

we’re looking for Experience in data analytics, data engineering, or campaign analytics. Strong SQL skills, plus Python (or R) for data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). Familiarity with More ❯

we’re looking for Experience in data analytics, data engineering, or campaign analytics. Strong SQL skills, plus Python (or R) for data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). Familiarity with More ❯

embed AI capabilities into wider systems. Translate emerging research into practical, deployable prototypes. What we’re looking for: Strong Python skills, with experience in PyTorch, TensorFlow, scikit-learn, and LLM frameworks Solid grounding in statistics, probability, and machine learning fundamentals. Experience with cloud (AWS/GCP/Azure), Docker, and API development What our client offers: Up to More ❯

embed AI capabilities into wider systems. Translate emerging research into practical, deployable prototypes. What we’re looking for: Strong Python skills, with experience in PyTorch, TensorFlow, scikit-learn, and LLM frameworks Solid grounding in statistics, probability, and machine learning fundamentals. Experience with cloud (AWS/GCP/Azure), Docker, and API development What our client offers: Up to More ❯

a measurable impact. What you'll be doing: Collaborating with business teams to uncover and define AI/automation opportunities. Engineering and optimising prompts to ensure consistent, high-quality LLM outputs. Building and deploying AI-powered workflows that connect LLMs with business applications, APIs, and automation tools. Implementing RAG (Retrieval-Augmented Generation) pipelines to integrate enterprise data. Rapidly prototyping and More ❯

We are looking for: Experience supporting pre-sales activities in a consultancy or product-led environment Strong understanding of AI/ML techniques, such as reinforcement learning, planning algorithms, LLM-based agents, and simulation environments Proven experience in designing and developing agentic systems for production environments, including autonomous agents, multi-agent coordination, and decision- making frameworks Detailed knowledge of the More ❯

We are looking for: Experience supporting pre-sales activities in a consultancy or product-led environment Strong understanding of AI/ML techniques, such as reinforcement learning, planning algorithms, LLM-based agents, and simulation environments Proven experience in designing and developing agentic systems for production environments, including autonomous agents, multi-agent coordination, and decision- making frameworks Detailed knowledge of the More ❯

debate, align to unified decisions. Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 3-6+ years building production backends/services , with shipped work and More ❯

debate, align to unified decisions. Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 3-6+ years building production backends/services , with shipped work and More ❯

growing FinTech in London who are building the next generation of AI based financial products. We are looking for Senior Software Engineers who have commercial experience with GenerativeAI and LLM integrations. You will be building Gen AI frontend agents and working with hybrid codebases with hosted prompts. This is a full stack opportunity working in their Gen AI team, working More ❯

growing FinTech in London who are building the next generation of AI based financial products. We are looking for Senior Software Engineers who have commercial experience with GenerativeAI and LLM integrations. You will be building Gen AI frontend agents and working with hybrid codebases with hosted prompts. This is a full stack opportunity working in their Gen AI team, working More ❯

Strong problem-solving skills; capable of delivering scalable, maintainable software. Effective communicator and team player. Knowledge of monitoring/alerting best practices for GenAI pipelines (e.g., Langsmith, Langfuse) and LLM-as-a-judge. Cloud experience (AWS, GCP) and familiarity with DevOps practices (CI/CD, Docker, Kubernetes, IaC). Experience with event-driven architecture and streaming (Kafka a strong plus More ❯

Strong problem-solving skills; capable of delivering scalable, maintainable software. Effective communicator and team player. Knowledge of monitoring/alerting best practices for GenAI pipelines (e.g., Langsmith, Langfuse) and LLM-as-a-judge. Cloud experience (AWS, GCP) and familiarity with DevOps practices (CI/CD, Docker, Kubernetes, IaC). Experience with event-driven architecture and streaming (Kafka a strong plus More ❯

but operating as a tech lead in a flat structure. What they’re after: 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems) Proven track record deploying LLM-based applications Clear evidence of Software skills (CI/CD etc.) Ability to lead small teams, own solutions end-to-end, and mentor engineers Strong communicator with experience working in More ❯