1 to 25 of 725 Remote LLM Jobs in London

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which More ❯

Join to apply for the Senior AI Platform Engineer role at LSEG 2 weeks ago Be among the first 25 applicants Join to apply for the Senior AI Platform Engineer role at LSEG About US About US LSEG (London Stock More ❯

tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity … e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML • Expertise in optimizing AI solutions for runtime cost. • Expertise in conversational system architecture • Extensive knowledge on API’s & Integrations More ❯

Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor, and maintain AI/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and … at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a … problem-solving, analytical, and communication skills. Why Join Us? Work on a greenfield project with a major global investment bank. Gain deep expertise in MLOps, Azure Databricks, GenAI, and LLM technologies. Play a key role in building scalable AI/ML solutions across Capital Markets. Remote work flexibility with a competitive day rate. If you are a talented MLOps professional More ❯

Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor, and maintain AI/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and … at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a … problem-solving, analytical, and communication skills. Why Join Us? Work on a greenfield project with a major global investment bank. Gain deep expertise in MLOps, Azure Databricks, GenAI, and LLM technologies. Play a key role in building scalable AI/ML solutions across Capital Markets. Remote work flexibility with a competitive day rate. If you are a talented MLOps professional More ❯

Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor, and maintain AI/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and … at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a … problem-solving, analytical, and communication skills. Why Join Us? Work on a greenfield project with a major global investment bank. Gain deep expertise in MLOps, Azure Databricks, GenAI, and LLM technologies. Play a key role in building scalable AI/ML solutions across Capital Markets. Remote work flexibility with a competitive day rate. If you are a talented MLOps professional More ❯

Company Description Publicis Media helps clients drive sustainable business growth by harnessing the modern media landscape to drive one-to-one consumer connections at scale. Publicis Media UK is made up of 2000 people working across market-leading media agencies More ❯

Base Salary: Up to £140,000 per annum + Equity Location: London (Farringdon), Hybrid in office 1 day a month We are seeking a talented Technical Lead to join a pioneering AI start up automating the legal side of property More ❯

Base Salary: Up to £140,000 per annum + Equity Location: London (Farringdon), Hybrid in office 1 day a month We are seeking a talented Technical Lead to join a pioneering AI start up automating the legal side of property More ❯

AI Developer (LLM Specialist), Retrain and Fine-Tume LLMs On Our Datasets Join to apply for the AI Developer (LLM Specialist), Retrain and Fine-Tume LLMs On Our Datasets role at Purple Dot Digital Limited AI Developer (LLM Specialist), Retrain and Fine-Tume LLMs On Our Datasets Join to apply for the AI Developer (LLM Specialist), Retrain and Fine-Tume More ❯

We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational More ❯

algorithms Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial real estate market data Engineer and tune LLM prompts, and perform automatic and manual evaluations of LLM outputs Apply machine learning algorithms to find patterns in financial data sets, especially time series, related to commercial real estate Translate … problems, an analytical mind, and experience in applied machine learning and generative AI Experience in applying LLMs to analyze text documents, prompt engineering, and manual and automatic evaluation of LLM outputs Good foundational knowledge of standard machine learning algorithms and statistical methods Proficient in python and its standard data science and ML libraries (e.g., numpy, pandas, scikit-learn, boosting and More ❯

AI agents in Generative AI space (LLMs) & share your experience with optimisation techniques such as quantization and pruning to minimise training & inference requirements for models. Design and implement effective LLM-tooling, finetuning & response evaluation strategies. Guide teams on the latest AI solution development practices and capabilities, and accordingly refine and improve our model development lifecycle and disseminate best practice learnings More ❯

IT, Research and Early Development (DD&IT-R&ED) team is on the lookout for a passionate and innovative Lead AI/ML Engineer with solid expertise in deploying LLM models into production. This role is pivotal in optimizing and deploying AI/ML solutions that drive the future of drug development. You will work with a state-of-the … Kubernetes, multiple automation/DevOps, and ML lifecycle practices. Data Handling: Practical knowledge in data wrangling, handling, processing, integrating, and analyzing large heterogeneous data sets related to drug discovery. LLM Experience: Experience with LLMs (fine-tuning, pretraining, continued pretraining, inference, RAG, and building multi-agent workflows using Llamaindex, Langchain, LangGraph, vector databases, etc.). Production-Grade Models: Significant expertise in More ❯

Digthisdeal.com are seeking an experienced and visionary Fractional Chief Technology Officer (CTO) to lead and shape the technology strategy for our market-disrupting company. As a fractional member of our executive team, you will play a key role in driving More ❯

deep learning Excellent collaboration and communication skills, both with teams and in client-facing engagements Interested in building AI applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries ( Pytorch, Tensorflow) from early conceptualisation to full deployment in More ❯

work scheme. Desirable Skills Knowledge of GDPR-compliance and data governance in the context of machine learning. Experience in insurance or financial services. Familiarity with OpenAI, GPT, or other LLM technologies. Infrastructure management, including monitoring, backup, and disaster recovery. What We Will Offer You Recognised and rewarded for a job well done, we have a range of flexible benefits for More ❯

deep learning and potentially reinforcement learning) to address specific business challenges. • Work with Large Language Models (LLMs): fine-tuning, prompt engineering, developing Retrieval-Augmented Generation (RAG) systems, and integrating LLM capabilities into applications via APIs. • Process, clean, and analyze large datasets to prepare them for model training and evaluation. • Develop APIs and services to integrate ML models and AI features More ❯

is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We’re using the latest in More ❯

AI agent-based architectures for production use cases. Contribute to model development processes including fine-tuning, parameter-efficient training (e.g., LoRA, PEFT), and distillation. Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack—from data preparation and model training to serving and observability—either independently or in collaboration with other … in machine learning and data science fundamentals—including supervised/unsupervised learning, evaluation metrics, data preprocessing, and feature engineering. Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval More ❯

and networking architecture, particularly with GPU hardware and HPC networks Familiarity with AI-powered developer tools like Windsurf, Copilot, ChatGPT, and others is a strong plus Responsibilities: Develop custom LLM serving systems and corresponding datacenter infrastructure to deliver high model quality at very low latency and cost Improve our LLM training software both in terms of model architecture changes that More ❯

learning frameworks (e.g. TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience with LLM application design and deployment. Strong software engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn More ❯

We are looking for a hands-on, production-minded AI Engineer to join our growing AI team. This is an exciting opportunity to develop and deploy generative AI and LLM-based applications at scale. You'll work closely with software engineers, data scientists, and product teams to bring advanced AI capabilities into real-world healthcare and life sciences applications. You … ll be at the forefront of deploying agentic AI frameworks and LLM-powered features into production systems, designing AI infrastructure, and establishing best-in-class MLOps and LLMOps practices. Key Responsibilities Design, build, deploy, and maintain scalable AI services and infrastructure using cloud-native tools (Azure and AWS preferred). Develop robust backend systems and APIs to support AI workflows … and inference pipelines. Integrate with third-party LLM APIs and manage usage, rate limits, reliability, and cost efficiency. Optimise AI prompting strategies, including chaining, templating, output post-processing and future model output validation. Implement modular AI workflows with orchestration logic for latency, cost, and reliability. Build and maintain CI/CD pipelines, infrastructure-as-code, and container orchestration (Kubernetes, Airflow More ❯

Join to apply for the Data Scientist role at Zurich Insurance Join to apply for the Data Scientist role at Zurich Insurance Get AI-powered advice on this job and more exclusive features. Working hours: This role is available on More ❯

Social network you want to login/join with: SR2 | Socially Responsible Recruitment | Certified B Corporation Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 08.05.2025 Expiry Date: 22.06.2025 col More ❯