1 to 25 of 101 Remote/Hybrid LLM Jobs in London

accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery Design, build, and deploy production‐grade AI/ML solutions , including: LLM‐enabled applications (RAG, agents, copilots) Predictive models and intelligent automation AI services embedded into modernised platforms Own end‐to‐end AI lifecycle : discovery, PoC, productionisation, monitoring ...

Kubernetes, and GPU-based compute infrastructure. Working knowledge of generative AI and hands-on experience deploying and hosting large foundation models. Experience with large language model architectures such as transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience ...

Augmented Generation applications, AI agents and systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats. Experience building chatbots, search systems, or generative ...

encryption at rest and in transit, and secrets management (AWS Secrets Manager, HashiCorp Vault). • Develop and enforce governance frameworks for working with LLM APIs and AI services, including data protection, PII safeguards, and compliance requirements. • Conduct security audits, vulnerability assessments, and implement remediation strategies to maintain a secure infrastructure. ...

production AI systems at scale. Strong Python expertise with modern ML frameworks including PyTorch, TensorFlow, Scikit-Learn, JAX, XGBoost, OpenCV and Transformers. Experience developing LLM and generative AI solutions, including RAG architectures, LangChain, vector databases and cloud ML deployment. Strong stakeholder communication skills Nice to haves: Experience in industrial/ ...

pipelinesfrom feature engineering and preprocessing to deployment ready model outputs. Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. Implement model evaluation frameworks using offline metrics, cross validation, online experiments, and human in the loop feedback loops. Communicate insights clearly ...

scoped service accounts; integrate BeyondCorp for zero trust access. Operationalise observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs ...

scoped service accounts; integrate BeyondCorp for zero-trust access. Operationalise observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs ...

structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This ...

concepts and cut through industry hype to focus on practical outcomes Solution Development Help shape AI-enabled products and solutions using modern architectures including: LLM-based applications RAG pipelines AI orchestration layers agent-based systems Work closely with data scientists, ML engineers, and data engineers to move ideas from concept ...

data transformation initiatives. This position is ideal for someone with strong hands-on experience across AI/ML architecture, cloud AI services and large language model technologies, alongside the ability to communicate complex technical concepts to both technical and non-technical stakeholders. Responsibilities Translate senior stakeholder vision into AI/ ...

least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with ...

from you. Seniority Level Mid-Senior level Industry IT Services and IT Consulting Employment Type Full-time Job Functions Analyst Skills Large Language Models (LLM ...

Applied ML Engineer Deep hands-on knowledge of Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) Proven track record building LLM, GenAI, or traditional ML solutions end-to-end Comfortable in startup or scale-up environments — fast-moving, iterative, delivery-focused Strong Python engineering experience Experience ...

define Generative AI opportunities and use cases Lead client workshops and shape AI strategy and roadmaps Architect and deliver scalable AI solutions, including LLM and agent-based systems Lead end to end delivery of complex AI projects across global teams Mentor engineers and data scientists and drive best practice ...

product mindset with strong collaboration across engineering, product and design teams Nice to Have Experience using Python within product development Exposure to AI/LLM-driven products Experience with microservices architectures What’s on Offer £90,000 – £110,000 base salary Bonus scheme Hybrid working (2 days per week ...

concept. AI Engineer Responsibilities Own and evolve a production-ready AI platform Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling ...

. You will work on creative cutting-edge AI applications, turning data into impactful solutions. What You Will Do Build and deploy ML and LLM-based solutions Prepare data, engineer features, and ensure quality Fine-tune, evaluate, and optimise LLMs and other models Develop scalable data pipelines across cloud systems ...

learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly incorporating LLM-powered and agentic workflows to automate sophisticated tasks. As one of the early engineering hires, you will play a key role in building and scaling ...

Product & Technical programme Management (The Architects):- Drive the roadmap for GenAI integration within safety workflows.- Define the "Safety Standard" for AI responses and manage LLM-powered triaging.- Success Metric: Reduce "Safety False Negatives" and ensure smooth transitions from AI to human safety agents. 2. Data Science & Analytics (The Strategists):- Build ...

Product & Technical programme Management (The Architects): - Drive the roadmap for GenAI integration within safety workflows. - Define the "Safety Standard" for AI responses and manage LLM-powered triaging. - Success Metric: Reduce "Safety False Negatives" and ensure smooth transitions from AI to human safety agents. 2. Data Science & Analytics (The Strategists): - Build ...

experiments Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Preferred Qualifications Experience in generative AI or large language models Exposure to LLM training, fine-tuning, or post-training techniques Research-focused Master’s or PhD in a relevant field Background in mathematics, physics, or related disciplines ...

Responsibilities 🔹 Standard Setting Define what “safe” and “empathetic” AI interactions look like Build evaluation frameworks for GenAI safety performance 🔹 Tooling & Rollout Lead implementation of LLM-powered tools (triage, summarisation, risk detection) Ensure seamless transitions between AI and human safety agents 🔹 Risk Mitigation Conduct red-teaming exercises to identify vulnerabilities Prevent ...

highly skilled Managing Consultant with hands‐on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial, web, or product ...

deliver working systems. Desired Knowledge and Experience: Experience working with Contentful CMS and Vercel hosting environments. Experience implementing AI-driven tools, automation workflows, or LLM-based systems. Experience working with data platforms, analytics environments, or business intelligence systems. Familiarity with DevOps and CI/CD practices, including version control platforms ...