51 to 75 of 247 GCP Jobs in the North West

modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices testing, CI/CD, clean code A genuine interest in AI systems, automation, and applying engineering to real-world impact Sells Fully More ❯

a proven track record of scaling engineering teams and platforms in complex environments. Expertise in modern software practices including DevOps, SRE, IaC, and cloud-native design (Azure, AWS, or GCP). Experience implementing AI/ML-enabled tooling within engineering practices (eg code copilots, test generation, anomaly detection, CI/CD acceleration). Demonstrable success in improving engineering velocity, quality More ❯

a proven track record of scaling engineering teams and platforms in complex environments. Expertise in modern software practices including DevOps, SRE, IaC, and cloud-native design (Azure, AWS, or GCP). Experience implementing AI/ML-enabled tooling within engineering practices (eg code copilots, test generation, anomaly detection, CI/CD acceleration). Demonstrable success in improving engineering velocity, quality More ❯

systems in production, so you should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and More ❯

experience leading engineering teams and delivering enterprise-grade solutions Deep expertise in Java and Spring Strong background in API and data engineering Proficiency with cloud platforms (AWS, Azure, or GCP) Passion for mentoring, coaching, and continuous improvement Eligible for UK security clearance Benefits : Core Benefits: Up to 20% bonus (performance + objective-based) £2,000 annual training budget Personal life More ❯

modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices — testing, CI/CD, clean code A genuine interest in AI systems, automation, and applying engineering to real-world impact Sells Fully More ❯

modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices — testing, CI/CD, clean code A genuine interest in AI systems, automation, and applying engineering to real-world impact Sells Fully More ❯

modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices — testing, CI/CD, clean code A genuine interest in AI systems, automation, and applying engineering to real-world impact Sells Fully More ❯

modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices — testing, CI/CD, clean code A genuine interest in AI systems, automation, and applying engineering to real-world impact Sells Fully More ❯

a proven track record of scaling engineering teams and platforms in complex environments. Expertise in modern software practices including DevOps, SRE, IaC, and cloud-native design (Azure, AWS, or GCP). Experience implementing AI/ML-enabled tooling within engineering practices (eg code copilots, test generation, anomaly detection, CI/CD acceleration). Demonstrable success in improving engineering velocity, quality More ❯

systems in production, so you should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too up to £100k plus benefits including nonus, share options More ❯

systems in production, so you should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and More ❯

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&D, or high-performance computing environments. More ❯

communication and stakeholder management skills, with the ability to bridge business and technical domains. Experience designing and implementing data governance frameworks. Familiarity with cloud data platforms (Azure, AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation More ❯

lines outside ITSM (e.g. ITOM, HRSD, CSM, SPM, SAM). Advanced scripting and integration skills (JavaScript, SQL, REST/SOAP APIs). Strong understanding of cloud platforms (AWS, Azure, GCP) and ServiceNow integrations. Experience operating in a Technical Design Authority capacity. Bonus: GenAI exposure, ITILv4 certification Must be SC Eligible (UK Security Clearance) What’s in it for you More ❯

lines outside ITSM (e.g. ITOM, HRSD, CSM, SPM, SAM). Advanced scripting and integration skills (JavaScript, SQL, REST/SOAP APIs). Strong understanding of cloud platforms (AWS, Azure, GCP) and ServiceNow integrations. Experience operating in a Technical Design Authority capacity. Bonus: GenAI exposure, ITILv4 certification Must be SC Eligible (UK Security Clearance) What’s in it for you More ❯

lines outside ITSM (e.g. ITOM, HRSD, CSM, SPM, SAM). Advanced scripting and integration skills (JavaScript, SQL, REST/SOAP APIs). Strong understanding of cloud platforms (AWS, Azure, GCP) and ServiceNow integrations. Experience operating in a Technical Design Authority capacity. Bonus: GenAI exposure, ITILv4 certification Must be SC Eligible (UK Security Clearance) What’s in it for you More ❯

for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, APIs, packaged solutions, agile, DevOps, digital transformation Tools & Frameworks: UML, ArchiMate, IoT, cloud-native architectures Qualifications Essential requirements Strong track record of shaping More ❯

for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, APIs, packaged solutions, agile, DevOps, digital transformation Tools & Frameworks: UML, ArchiMate, IoT, cloud-native architectures Qualifications Essential requirements Strong track record of shaping More ❯

for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, APIs, packaged solutions, agile, DevOps, digital transformation Tools & Frameworks: UML, ArchiMate, IoT, cloud-native architectures Qualifications Essential requirements Strong track record of shaping More ❯

for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, APIs, packaged solutions, agile, DevOps, digital transformation Tools & Frameworks: UML, ArchiMate, IoT, cloud-native architectures Qualifications Essential requirements Strong track record of shaping More ❯

ideas to life, helping to shape both the technical direction and the AI strategy. Building and productionising LLM-based features and GenAI workflows. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

ideas to life, helping to shape both the technical direction and the AI strategy. Building and productionising LLM-based features and GenAI workflows. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯