76 to 100 of 704 Remote LLM Jobs

AI Technical Consultant Engineer L LM, Python, RAG, Data Analyst – SQL, Tableau, R, Python, Gen AI & Machine Learning. Hybrid working, office location Weybridge, Surrey. The role: Build and refine LLM/SLM-based Generative AI solutions from scratch, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud and More ❯

scalability, observability, and latency in distributed agent systems Define deployment, autoscaling, and management strategies (e.g. using Vertex AI Agent Engine, Cloud Run, etc.) Work closely with data science/LLM teams to select, tune, and integrate models (e.g. Gemini, model variants) Create reference architecture, reusable agent templates, blueprints, and best practices Provide technical leadership and code reviews for agent/ More ❯

concepts (algorithmic complexity, Big O notation, design patterns) to solve complex data challenges Lead technology selection, build vs. buy decisions, and technical roadmap development Drive continuous innovation, particularly in LLM-based applications and advanced data processing Ensure systems are built with appropriate time/space complexity considerations and optimal data structures Engineering Excellence & Hands-on Leadership Maintain hands-on involvement More ❯

concepts (algorithmic complexity, Big O notation, design patterns) to solve complex data challenges Lead technology selection, build vs. buy decisions, and technical roadmap development Drive continuous innovation, particularly in LLM-based applications and advanced data processing Ensure systems are built with appropriate time/space complexity considerations and optimal data structures Engineering Excellence & Hands-on Leadership Maintain hands-on involvement More ❯

concepts (algorithmic complexity, Big O notation, design patterns) to solve complex data challenges Lead technology selection, build vs. buy decisions, and technical roadmap development Drive continuous innovation, particularly in LLM-based applications and advanced data processing Ensure systems are built with appropriate time/space complexity considerations and optimal data structures Engineering Excellence & Hands-on Leadership Maintain hands-on involvement More ❯

Familiarity with Entity Framework Core . Understanding of web accessibility and development best practices. Bonus Skills: Experience with NoSQL databases (e.g., MongoDB, Cosmos DB). Exposure to AI/LLM integrations (e.g., Langchain or similar tools). Working knowledge of design systems , such as the GOV.UK Design System . Why Join? Work on meaningful digital products that impact lives. Join More ❯

Familiarity with Entity Framework Core . Understanding of web accessibility and development best practices. Bonus Skills: Experience with NoSQL databases (e.g., MongoDB, Cosmos DB). Exposure to AI/LLM integrations (e.g., Langchain or similar tools). Working knowledge of design systems , such as the GOV.UK Design System . Why Join? Work on meaningful digital products that impact lives. Join More ❯

and systems engineering - someone who thrives in a collaborative, mission-driven environment. You bring: Proven experience deploying machine learning models into production environments. Strong Python skills and experience with LLM frameworks (LangChain, LlamaIndex, HuggingFace Transformers). Knowledge of conversational AI platforms (Dialogflow, Lex, Rasa). Familiarity with TensorFlow , PyTorch , Keras , scikit-learn , and Pandas . Experience integrating with cloud-based More ❯

data or ML services. Strong understanding of machine learning pipelines and integration between data science and production environments. UK-based and available for remote contract work. Desirable: Experience with LLM integration (e.g. OpenAI, ChatGPT API, or similar). Familiarity with Kubernetes , CI/CD pipelines , or cloud deployment (AWS/GCP/Azure). Prior experience in start-up, R More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. More ❯

accessible. Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Innovation: Explore and recommend new technologies, frameworks, and methods for both full-stack and AI development. 5+ years experience in full-stack development. Strong More ❯

data science/ML, with at 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 frameworks such as PyTorch More ❯

data science/ML, with at 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 frameworks such as PyTorch More ❯

data science/ML, with at 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 frameworks such as PyTorch More ❯