1 to 25 of 916 Remote Permanent LLM Jobs

. 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 More ❯

governance and transparency. Perform and guide model retraining, performance monitoring, and updates for complex production models (e.g., time series, anomaly detection, natural language processing, LLM-based text summarization), proactively addressing performance gaps. Collaborate closely with domain experts to capture critical business requirements, and lead efforts to gather, transform, and prepare More ❯

Mathematics, Statistics, or a related field. Management and Technical Expertise: Extensive hands-on experience with platform MLflow and MLOps databricks features. Popular Gen AI LLM models (e.g., GPT-4o, LLaMa, Mixtral), SLMs with Phi/Gamma/Triplex, and frameworks (e.g., LangChain, LlamaIndex, LangGraph, Semantic Kernel, PyTorch, and long-term More ❯

/CD integrating tests with pipelines via Jenkins, github actions, bitbucket or other similar code repository tool Experience with LangChain/LangGraph for building LLM-powered applications Desire to think outside the box and explore innovative solutions to complex problems Strong problem-solving, analytical, and creative thinking skills, with the More ❯

and NoSQL databases (e.g., MongoDB, Apache Cassandra, Oracle, mySQL). Experience building or consuming ETL pipelines for structured data preparation. Bonus Skills Advanced NLP & LLM Techniques Hands-on experience with large language models (LLMs) using OpenAI API, RAG, or embedding models. Familiarity with prompt engineering for model fine-tuning or More ❯

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 ❯

are willing to roll up their sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting More ❯

is an international company that requires a senior Data Scientist with experience in Azure Databricks, Knowledge Graph, Neo4J Graph Database, and RAG pipelines for LLM to join the team. Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse More ❯

JavaScript/Go/Golang/Kotlin/Docker/Programmer/Software Engineer/Software Developer/Programming/Coding/programmer/LLM/NLP/Audio/Signal Processing/Deep Learning More ❯

product drastically improves the working lives of our users, enables our customers to cover more risks, more competitively. The Role As an AI Engineer (LLM), you will play a critical role in developing our core Large Language Model (LLM) service. Our LLM service underpins our Generative AI powered risk digitization … services to leverage the power of LLMs at scale, regardless of the underlying foundational model. You will be responsible for building, deploying, and optimizing LLM-powered solutions that directly impact our customer's ability to understand and process risk in commercial insurance. What you will be doing Problem Solving & Collaboration … processing in commercial insurance that can be solved with LLMs. Collaborate closely with consuming service teams to define clear, efficient, and scalable interfaces for LLM tasks. Development & Deployment: Design, develop, test, and deploy domain-specific LLM tasks (e.g., information extraction, risk assessment, document summarization, etc.) that are readily consumable by More ❯

source control and JIRA Knowledge/experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM Agile/SCRUM Strong technical, problem solving and communication skills Keen to learn and develop new technical More ❯

that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep-dive software engineering expertise Thrive in a results-driven environment, where flexibility More ❯

sub-selection methods together with the latest training insights from our researchers. Engineer and Develop : Design, develop, and optimize scalable data pipelines to support LLM training and evaluation. You will also help us develop this in a robust and testable way, through careful source control and a solid back-up More ❯

and computational efficiency. This requires staying current with academic research and industry developments to identify opportunities for platform evolution. The role demands expertise in LLM optimization techniques including fine-tuning on domain-specific data, crafting robust prompting strategies, and implementing retrieval-augmented generation style architectures. You'll apply these techniques More ❯

Python: Mastery of Python for building production-ready applications. Generative AI: Proficiency in frameworks like Hugging Face Transformers, Lang Chain, OpenAI APIs, or similar LLM ecosystems. ML Ops: Experience with deploying models (e.g., using Docker, Kubernetes, TensorFlow Serving, Torch Serve). Backend Engineering: Ability to handle APIs, real-time systems More ❯

in a cloud-native environment (Azure preferred; AWS/GCP acceptable). At least 1 year of hands-on experience with Generative AI or LLM-based tools and applications. Comfortable building end-to-end AI pipelines , from data ingestion to model deployment and monitoring. Demonstrated experience with consulting engagements , client More ❯

Duration: 1+ year Job Description: NOTE : Must be good in comm and technical + Minimum of 8 years of work exp needed Role Overview We are seeking a skilled Machine Learning Engineer to design, develop, and deploy advanced AI/ More ❯

Responsibilities: Must have at least 4 years of Python experience. Must have at least 4+ years working experience. Develop software that provides visibility into LLM models and offers configurability for tuning and evaluation. Take a hands-on approach to quickly prototype, test, and iterate on solutions, moving from proof-of More ❯

migration, data mapping, and data modeling. Familiarity with microservices and composable business systems. Familiarity with Advanced Analytics (AA), Artificial Intelligence (AI), Large Language Models (LLM), and Robotic Process Automation (RPA) Ability to recognize internally and externally stakeholders and technical dependencies. Ability to take on the role of subject matter experts More ❯

experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience/skill) with hybrid working More ❯

experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working More ❯

experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working More ❯

OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Weaviate (we use it for RAG in LLM powered tasks and for hybrid searches) Kubernetes (we run Weaviate and other specific services on Kubernetes) CircleCI DataDog Auth0 (we use it, but we would More ❯

data-driven ML inference pipelines using Kafka. There will also be the opportunity to get involved in the continued development of our suite of LLM and Data Science focused modules. Help design, build and extend Seldon's Core v2 MLOps platform, contributing to improved reliability, scalability and performance as well More ❯

systems, particularly using Prometheus. Troubleshoot and optimize Linux-based systems (e.g., Red Hat, CentOS, Ubuntu). xAI's Grok is a powerful, multilingual large language model available on X and via API, focused on accelerating scientific discovery. Experience Requirements: Expert in at least one programming language that compiles to machine … exotic places around the world. Ask Sage is a versatile, secure Generative AI platform for government and commercial use, offering significant productivity improvements and LLM-agnostic support. Experience Requirements: 3+ years in site reliability engineering, Kubernetes administration, or related role. Deep expertise of Kubernetes and containers. Strong understanding of cloud More ❯