7 of 7 BigQuery Jobs in Crawley

LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows. Strong … NumPy), machine learning, PI development (Flask/FastAPI), and writing clean, maintainable code. SQL: Expertise in querying, database design/optimization, stored procedures, functions, partitioning/clustering strategies for BigQuery tables. LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers. BigQuery: Advanced knowledge of data warehousing/… analytics, BigQuery ML for in-database machine learning, query optimization techniques. Google Cloud Storage (GCS): Experience with data lake management, storage/retrieval processes, lifecycle management. Desirable ITIL Foundation in IT Service Management Scrum/Agile qualifications If you are an experienced AI Engineer Engineer and feel you have the desired skills and experience which would enable you to More ❯

automating analytics workflows. Designing and refining prompts to improve LLM performance in structured data querying and other business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising … LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. MLOps/LLMOps Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/… performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. More ❯

automating analytics workflows Designing and refining prompts to improve LLM performance in structured data querying and other business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability Evaluating LLM performance, optimising … LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics MLOps/LLMOps Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/… performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices More ❯

projects and shape strategy A supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams A problem-solver with a More ❯

Have 5+ yrs building high-throughput backend systems Experience with BI/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts More ❯

landscapes, and drive technical change through influence. Experience with cloud-based AI platforms and services (e.g., Google Cloud Platform, Azure) is highly desirable. Hands-on GCP experience (Vertex AI, BigQuery, Cloud Run) is exceptionally valuable, aligning with our Google-centric strategy. Familiarity with other major clouds demonstrates broad architectural understanding. Knowledge & skills: Technical Expertise: Mastery of AI/ML More ❯

Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Comp: up to £575 p/d Contract: 6 - 12 months Location: Remote first (UK based) Stack: Python, FastAPI, GCP, BigQuery Our long term client is a well known consultancy delivering complete functional solutions. They support engineering teams from FTSE 100 and S&P 500 companies build complex digital strategies. … practice and tooling including TDD, BDD Up to date knowledge of Python coding, testing, debugging Experience working with large sets of data Experience with FastAPI or Flask Experience with BigQuery This is a contract role outside IR35 , so you must be UK based and have a company registered in the UK. If you're interested in this opportunity, please More ❯