1 to 25 of 328 Remote/Hybrid LLM Jobs in the UK

other regulated industries Exposure to vector databases (e.g. Pinecone, Weaviate, FAISS) Experience with MLOps/LLMOps and deploying models into production Familiarity with LLM fine-tuning, evaluation, or guardrailing techniques Experience building internal tools such as copilots or knowledge assistants What's on Offer Salary up to £75,000 depending ...

infrastructure-as-code tools Relational and non-relational databases Amazon Bedrock, Sagemaker, Vertex AI Datadog, Databricks, MLFlow, Grafana, OTel Claude, Gemini, ChatGPT, open-weight LLM models Terraform, Docker, K8s RMDBs, Graph DBs, Vector DBs Claude Code Github (and Github actions) Benefits Competitive salary 25 days’ annual leave + bank holidays ...

Python or similar) Cloud platforms (AWS/GCP/Azure) Containerisation and orchestration tools Infrastructure as code Observability and ML tooling Modern AI/LLM frameworks Relational and non-relational databases Version control and CI/CD tooling Benefits Competitive salary 25 days’ annual leave + bank holidays Sick ...

diligence automation (financial, commercial, operational, and legal) Target screening and opportunity identification Risk detection and anomaly analysis Synergy modelling and value‐creation forecasting Develop LLM‐powered solutions for document analysis, contract review, data room interrogation, and summarisation. Build scalable data pipelines and feature stores integrating structured and unstructured data (financials ...

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 ...

pipelines-from 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 ...

Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING ...

what we build actually matters. Key objectives Research and develop multimodal AI technologies that improve the way people work with sound Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases Identify opportunities to apply the latest advances in generative ...

multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services ...

multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services ...

experience would be awesome. Strong collaboration skills across engineering, product, and AI teams. Bonus Points If... You have experience building AI-powered applications with LLM integrations. You’ve worked in high-performance startups or enterprise AI environments. You have a sharp eye for UI/UX design and have built ...

Requirements Required Active SC clearance Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding ...

3+ years building and deploying machine learning systems in production - Strong Python skills and familiarity with PyTorch, TensorFlow, or similar - Hands-on experience with LLM APIs (OpenAI, Anthropic, Google) - Working knowledge of vector databases, RAG, and prompt engineering - Experience with cloud ML infrastructure (AWS Sagemaker, GCP Vertex, etc.) - Solid software ...

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 ...

deploy intelligent, data‐driven solutions that improve operational efficiency and support better organisational decision-making. You’ll work on production‐grade machine learning and LLM‐enabled products, collaborating with a wide range of technical and non‐technical stakeholders to turn complex requirements into scalable, real‐world solutions. Role Responsibilities: Develop ...

where you want within the United States. Responsibilities Drive the strategy, design, and delivery of scalable data platforms powering business intelligence, predictive analytics, and LLM capabilities across enterprise customers, built on modern microservices architecture. Drive the successful completion of complex projects that span multiple domain teams as data is core ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

Strong commercial experience using Python in applied AI or machine learning contexts Proven delivery of end-to-end AI solutions such as RAG systems, LLM-powered applications, or agent-based workflows Experience working closely with clients or end users, translating real requirements into technical solutions Solid software engineering fundamentals, including ...

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 ...

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

real-world problems, and delivering solutions at pace. Key Responsibilities Design and build scalable full stack applications Develop and deploy AI-powered solutions including LLM integrations and RAG systems Work closely with stakeholders to translate business needs into technical solutions Lead rapid prototyping and production delivery Contribute to architecture decisions ...

/services for repeatable runs. Athena AI development support: Build data pipelines, evals, and monitoring for Athena agent workflows; collaborate with engineering team on LLM integration quality and observability. Problem solving & delivery: Proactively flag blockers, propose options, and hit deadlines with self-organised, reliable execution. What great looks like (first ...

scale. What You’ll Be Doing Designing and delivering end-to-end GenAI architecture Building agentic AI systems (reasoning, orchestration, multi-step workflows) Developing LLM-powered applications (RAG, vector search, semantic layers) Scaling AI systems in production (performance, reliability, observability) Driving architecture across distributed systems, APIs, and AI platforms Defining ...

deployment principles Desirable exposure: Accessibility and performance standards Cloud platforms ( Azure and/or AWS ) CI/CD pipelines Technical architecture concepts AI/LLM tooling About You An experienced senior developer with a strong track record of delivery Detail-driven, quality-focused and methodical in your approach to problem ...