726 to 750 of 5,608 Python Jobs in England

data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar More ❯

DAX, data modelling, RLS, deployment pipelines) PySpark and Databricks or Microsoft Fabric Git and CI/CD pipelines (Azure DevOps preferred) SQL for querying and data transformation Experience with Python for data extraction and API integration. Excellent numerical and analytical skills with strong attention to detail. Confident communicator with experience presenting to senior, non-technical stakeholders. Previous exposure to Financial More ❯

in Computer Science, Software Engineering, Electronic Engineering, Mathematics, Physics, or a related field. Enthusiasm for technology and software development. Technical Skills Strong programming fundamentals in languages such as JavaScript, Python, Java, or C/C++. Familiarity with web technologies (HTML, CSS, JavaScript) and Git. Experience with frontend frameworks (React, Vue) or backend technologies , REST APIs). Personal Qualities Curiosity, resilience More ❯

in Computer Science, Software Engineering, Electronic Engineering, Mathematics, Physics, or a related field. Enthusiasm for technology and software development. Technical Skills Strong programming fundamentals in languages such as JavaScript, Python, Java, or C/C++. Familiarity with web technologies (HTML, CSS, JavaScript) and Git. Experience with frontend frameworks (React, Vue) or backend technologies , REST APIs). Personal Qualities Curiosity, resilience More ❯

pre-sales, technical architecture, or consulting Strong communication and presentation skills Hands-on experience in technical integrations and POCs Comfortable coding in any high-level programming language (Java, Go, Python) Strong hands-on knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, and OpenTelemetry Industry knowledge and opinions on Monitoring, Observability, Log Management, SIEM Engineering/DevOps Background - advantage Experience in More ❯

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 ❯

Cloud Armor, etc.) CI/CD pipeline security integration Infrastructure as Code (Terraform, Deployment Manager) Experience with SIEM tools (Splunk, Chronicle) Desirable: GCP Security Engineer certification, MOD experience, scripting (Python/Bash), container security (GKE, Kubernetes) Why Should a Candidate Apply This is a unique opportunity to work on high-impact cloud security projects in a fast-paced consultancy environment 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 ❯

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 ❯

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 ❯