826 to 850 of 6,076 Python Jobs in the UK

Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership More ❯

a lean, agile environment. You’ll Bring Strong experience in AI engineering or ML backend development , with a foundation in data engineering and MLOps . Expert-level proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). Practical experience with MLOps principles , including CI/CD for ML, monitoring, and deployment. Strong understanding of LLMs, NLP , and modern More ❯

innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. What we're looking for: 4+ years' experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable More ❯

and are most excited by candidates who are passionate about learning new things, at Gemba we work with technologies such as: High level solution languages such as Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization More ❯

best practices. Own CI/CD pipelines, infrastructure as code, and system monitoring from the start. Tech Stack & Experience Essential Strong full-stack background: TypeScript with React (or similar), Python (FastAPI) or Node.js (NestJS). Data: PostgreSQL preferred; solid experience with schema design, migrations, and performance tuning. Cloud/DevOps: Azure or AWS, Docker, GitHub Actions, IaC tools (Terraform/ More ❯

best practices. Own CI/CD pipelines, infrastructure as code, and system monitoring from the start. Tech Stack & Experience Essential Strong full-stack background: TypeScript with React (or similar), Python (FastAPI) or Node.js (NestJS). Data: PostgreSQL preferred; solid experience with schema design, migrations, and performance tuning. Cloud/DevOps: Azure or AWS, Docker, GitHub Actions, IaC tools (Terraform/ More ❯

Jenkins, GitLab, Traefik, and Istio. Deep understanding of AWS infrastructure and services. Proven experience improving developer workflows and reducing friction in the SDLC. Proficiency in scripting and automation (e.g., Python, Bash). Experience with monitoring and logging tools: Grafana, ELK, New Relic. Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation, CrossPlane). Excellent communication and collaboration skills, with a developer More ❯

best practices. Own CI/CD pipelines, infrastructure as code, and system monitoring from the start. Tech Stack & Experience Essential Strong full-stack background: TypeScript with React (or similar), Python (FastAPI) or Node.js (NestJS). Data: PostgreSQL preferred; solid experience with schema design, migrations, and performance tuning. Cloud/DevOps: Azure or AWS, Docker, GitHub Actions, IaC tools (Terraform/ More ❯

and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have More ❯

and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have More ❯

best practices. Own CI/CD pipelines, infrastructure as code, and system monitoring from the start. Tech Stack & Experience Essential Strong full-stack background: TypeScript with React (or similar), Python (FastAPI) or Node.js (NestJS). Data: PostgreSQL preferred; solid experience with schema design, migrations, and performance tuning. Cloud/DevOps: Azure or AWS, Docker, GitHub Actions, IaC tools (Terraform/ More ❯

best practices. Own CI/CD pipelines, infrastructure as code, and system monitoring from the start. Tech Stack & Experience Essential Strong full-stack background: TypeScript with React (or similar), Python (FastAPI) or Node.js (NestJS). Data: PostgreSQL preferred; solid experience with schema design, migrations, and performance tuning. Cloud/DevOps: Azure or AWS, Docker, GitHub Actions, IaC tools (Terraform/ More ❯

Managing observability and monitoring using Grafana Cloud. What we're looking for in you What we're looking for in you. You must have: A working knowledge of Java, Python or Go. Proven experience of working with AWS and/or Kubernetes. Solid problem-solving skills, a collaborative mindset, with strong communication skills. The nice to haves. If you can More ❯

and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have More ❯

and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have More ❯

and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have More ❯

DevOps, ideally with hands-on exposure to AWS. Practical knowledge of AWS core services (EC2, S3, RDS, IAM, VPC). Understanding of Linux systems administration and shell scripting (Bash, Python, or equivalent). Familiarity with networking fundamentals (IP addressing, subnets, routing, VPN). Preferred Exposure to Infrastructure-as-Code tools (Terraform, CloudFormation). Experience setting up CI/CD pipelines More ❯

DevOps, ideally with hands-on exposure to AWS. Practical knowledge of AWS core services (EC2, S3, RDS, IAM, VPC). Understanding of Linux systems administration and shell scripting (Bash, Python, or equivalent). Familiarity with networking fundamentals (IP addressing, subnets, routing, VPN). Preferred Exposure to Infrastructure-as-Code tools (Terraform, CloudFormation). Experience setting up CI/CD pipelines More ❯

DevOps, ideally with hands-on exposure to AWS. Practical knowledge of AWS core services (EC2, S3, RDS, IAM, VPC). Understanding of Linux systems administration and shell scripting (Bash, Python, or equivalent). Familiarity with networking fundamentals (IP addressing, subnets, routing, VPN). Preferred Exposure to Infrastructure-as-Code tools (Terraform, CloudFormation). Experience setting up CI/CD pipelines More ❯

DevOps, ideally with hands-on exposure to AWS. Practical knowledge of AWS core services (EC2, S3, RDS, IAM, VPC). Understanding of Linux systems administration and shell scripting (Bash, Python, or equivalent). Familiarity with networking fundamentals (IP addressing, subnets, routing, VPN). Preferred Exposure to Infrastructure-as-Code tools (Terraform, CloudFormation). Experience setting up CI/CD pipelines More ❯

DevOps, ideally with hands-on exposure to AWS. Practical knowledge of AWS core services (EC2, S3, RDS, IAM, VPC). Understanding of Linux systems administration and shell scripting (Bash, Python, or equivalent). Familiarity with networking fundamentals (IP addressing, subnets, routing, VPN). Preferred Exposure to Infrastructure-as-Code tools (Terraform, CloudFormation). Experience setting up CI/CD pipelines More ❯

data processing and training models in a distributed environment. LLMs: Deep understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in More ❯

data processing and training models in a distributed environment. LLMs: Deep understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in More ❯

data processing and training models in a distributed environment. LLMs: Deep understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in More ❯

data processing and training models in a distributed environment. LLMs: Deep understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in More ❯