1 to 25 of 234 Remote LLM Jobs

desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous) Other: Experimental design (A More ❯

desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous) Other: Experimental design (A More ❯

languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in More ❯

US Citizen, Green Card Holders, or Authorized to Work in the US Job Description: We are seeking a talented Senior AI Engineer with deep expertise in Large Language Model (LLM) engineering and design. The ideal candidate will be fluent in manipulating and integrating pre-trained LLMs within complex codebases to tackle practical challenges in data extraction, processing, and interactive systems. … chatbot systems and conversational AI, incorporating LLMs for seamless user experiences, including multi-turn dialogues, context-aware responses, and integration with external data sources. Implement RAG architectures to enhance LLM performance by combining retrieval from vector databases with generation, enabling accurate responses grounded in large-scale document corpora. Apply advanced LLM techniques-such as prompt engineering, chain-of-thought prompting … latency performance and data sovereignty. Incorporate computer vision tasks, such as OCR for text extraction from images or documents, and broader CV techniques for processing visual data in hybrid LLM pipelines. Experiment iteratively with LLM configurations, hyperparameters, and embeddings to boost performance metrics like accuracy, latency, and cost-efficiency in real-world scenarios, including vector search optimizations. Maintain scalable codebase More ❯

languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in More ❯

cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders, ensuring solutions are viable without reliance on cloud-based AI inferencing or LLM endpoints. Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle. Collaboration with Data Science and Engineering More ❯

guiding us to deliver impact how and where it mattersmost . Connect to your opportunity Key Responsibilities: Solution Architecture: Define and design end-to-end AI/ML/LLM solution architectures, encompassing data ingestion, processing, model training, deployment, and monitoring. Technical Leadership: Provide technical guidance and mentorship to AI project teams, ensuring the adoption of best practices and the More ❯

systems. Applicants must possess: (i) PhD in DS, data analytics, economics, public policy, or social science-related field; (ii) 3yr exp leading DS projects in justice system environment (e.g. LLM-based chatbots, data visualization dashboards, big data collection/processing initiatives, database administration), which includes: published peer-reviewed research on AI applications w/judicial systems; published open-source software More ❯

Aveni is an award-winning technology company. We useadvanced AI to enable scalable efficiency for financial services companies,combining world-leading Natural Language Processing (NLP) and Large LanguageModel (LLM) expertise with deep financial services domain experience to driveenterprise-wide productivity. Aveni harnesses the power of voice to driveunprecedented efficiency and oversight. We're using the latest in AI toautomate and More ❯

opportunity to work and make meaningful contribution to cutting edge conversational ai systems including bots and copilots. Leveraging the latest technologies in ML/NLP including integrations with latest LLM technologies.The team you will join is the heartbeat of language understanding in our chat bot and agent copilot products. In a micro services architecture, we leverage the latest technologies both More ❯

opportunity to work and make meaningful contribution to cutting edge conversational ai systems including bots and copilots. Leveraging the latest technologies in ML/NLP including integrations with latest LLM technologies.The team you will join is the heartbeat of language understanding in our chat bot and agent copilot products. In a micro services architecture, we leverage the latest technologies both More ❯

communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field More ❯

communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field More ❯

Deep understanding of AI technologies, algorithms, and frameworks . Proficiency in programming languages (Python, R, C/C++, Java) and secure coding practices. Hands-on experience with ML/LLM frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Expertise in DevOps/CI/CD security and cloud-native architectures (containers, Kubernetes, Git). Strong knowledge of AI/ML-specific More ❯

Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo) Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models Being responsive to incidents regarding More ❯

exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work More ❯

Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys,Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid working or a remote position in the UK, Poland or More ❯

effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid or a remote position in the UK, Poland or Portugal. More ❯

Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines. Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following More ❯

Insurance or Healthcare Cash Plan Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or More ❯

Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor What were looking for We know no one ticks every box, but proven experience in leading engineering teams and building More ❯

changes before launch Conduct statistical investigations into customer behaviour and funnel performance (e.g. search abandonment, filter usage, session patterns) Run literature reviews and research spikes on emerging techniques-e.g. LLM-assisted retrieval, hybrid recommenders, contrastive learning Collaborate with ML engineers to move promising prototypes into production Design and analyse AB tests to evaluate impact on discovery metrics (e.g. conversion, engagement More ❯

finish Preferred Experience 3+ years of professional software engineering experience Familiarity with GraphQL, gRPC, REST API design Experience with relational databases such as MySQL or PostgreSQL Exposure to AI, LLM integrations, or symbolic/neural hybrid systems Background in enterprise SaaS delivery or platform engineering More ❯

Jira, Notion, Figma) Awareness of data privacy and compliance challenges in enterprise products Nice to have Background in AI/ML products, analytics platforms, or workflow tools Experience with LLM applications, knowledge graphs, or enterprise AI integrations Exposure to regulated or high-security industries (finance, maritime, healthcare, logistics More ❯

Looking For Proven experience delivering impactful AI/ML projects. Expertise in frameworks such as TensorFlow or PyTorch, and proficiency in Python. Familiarity with AI-first approaches and large language model integration. Some data engineering experience is a strong plus. Strong analytical and problem-solving skills. Excellent communication skills and ability to work effectively in a fully remote, multi-time More ❯