1 to 25 of 364 Remote GCP Jobs in the UK excluding London

Senior GCP DevOps Engineer (Google Cloud Platform) UK Remote Working £65000 - £80000 + Equity Please note my client cannot offer VISA sponsorship for this position. Your new company I am working to recruit a Senior GCP DevOps Engineer for a hyper-growth business in the UK as they look to expand globally. It's a really unique opportunity working for … The role is offered fully remote but you must be within the UK and must not require any form of Visa Sponsorship to apply - and you must have Google Cloud Platform experience. Your new role The Engineering team has mirrored the general pattern in the company; grow quickly, iterate, have fun, make an impact. As they've scaled over the … last year Development squads have been formed supported by a small but experienced DevOps function, with years of GCP platform experience behind them. You'll report into the Head of Dev who is pushing best practice across the Engineering team, providing a progression path for all. This company operates like a start-up but with a product that's been More ❯

solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability More ❯

ways of working and mentor junior developers where appropriate. Implement security best practices across cloud environments. About You: Proven experience with at least one public cloud (AWS, Asure, or GCP) Strong API development and database experience (Postgres/Oracle + SQL). Proficiency in Java is essential, with Go, Python, or similar languages Experience with front-end frameworks (ideally Angular More ❯

design, optimization, maintenance) Experience building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Track record of delivering high-quality software under tight timelines. Strong communication skills, able to motivate and align technical teams. Experience with AI tools, APIs, or ML pipelines is More ❯

Exposure to machine learning in robotics, optimisation, or anomaly detection. Experience in safety-critical or high-reliability systems engineering. Knowledge of containerisation and cloud deployment (Docker, Kubernetes, AWS/GCP). What We Offer The opportunity to work on cutting-edge drone swarm technology with global applications. A role where your contributions directly influence live aerial performances and future product More ❯

Exposure to machine learning in robotics, optimisation, or anomaly detection. Experience in safety-critical or high-reliability systems engineering. Knowledge of containerisation and cloud deployment (Docker, Kubernetes, AWS/GCP). What We Offer The opportunity to work on cutting-edge drone swarm technology with global applications. A role where your contributions directly influence live aerial performances and future product More ❯

Exposure to machine learning in robotics, optimisation, or anomaly detection. Experience in safety-critical or high-reliability systems engineering. Knowledge of containerisation and cloud deployment (Docker, Kubernetes, AWS/GCP). What We Offer The opportunity to work on cutting-edge drone swarm technology with global applications. A role where your contributions directly influence live aerial performances and future product More ❯

such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills More ❯

such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills More ❯

such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills More ❯

ability to integrate AI-driven solutions into applications Experience with front-end and back-end frameworks (e.g., React, Express.js, or equivalents) Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-native architectures Familiarity with CI/CD pipelines, DevOps practices, and automation tooling Ability to work effectively in Agile/Scrum teams and adapt to evolving technologies Knowledge More ❯

ability to integrate AI-driven solutions into applications Experience with front-end and back-end frameworks (e.g., React, Express.js, or equivalents) Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-native architectures Familiarity with CI/CD pipelines, DevOps practices, and automation tooling Ability to work effectively in Agile/Scrum teams and adapt to evolving technologies Knowledge More ❯

Python software development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in More ❯

testing, differential testing, Python package building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor and lead More ❯

Python. Experience with both JavaScript and frameworks such as React and Express.js (or similar) Strong experience using HTML & CSS Experience with cloud platform providers such as AWS, Azure or GCP Experience with CI/CD and DevOps tooling and processes You will be responsible for writing clean and maintainable code that aligns to their business requirements whilst ensuring all engineering More ❯

Python. Experience with both JavaScript and frameworks such as React and Express.js (or similar) Strong experience using HTML & CSS Experience with cloud platform providers such as AWS, Azure or GCP Experience with CI/CD and DevOps tooling and processes You will be responsible for writing clean and maintainable code that aligns to their business requirements whilst ensuring all engineering More ❯

NoSQL databases (e.g., MongoDB) Familiarity with CI/CD pipelines, Git workflows, and agile methodologies Experience with containerisation (e.g., Docker, Kubernetes) Exposure to cloud platforms (AWS preferred, Azure/GCP also valued) Nice-to-Haves: Test-driven development and automation experience Front-end integration knowledge Interest in cloud-native architecture and advanced engineering practices Why Apply? Competitive salary More ❯

development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and More ❯

development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and More ❯

development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and More ❯

and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and More ❯

and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and More ❯

and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and More ❯

Python software development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in More ❯

experience). Proven experience in technical support, site reliability engineering (SRE), or platform operations. Strong knowledge of Linux/Unix and Windows environments. Familiarity with cloud platforms (AWS, Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). More ❯