26 to 50 of 320 GCP Jobs in the South East

technical stakeholders. YOUR SKILLS AND EXPERIENCE The successful candidate will have: Strong proficiency in Python , with scalable, maintainable, test-driven development (TDD) Experience designing, deploying, and maintaining systems on GCP or AWS Solid understanding of CI/CD pipelines (GitHub Actions) and Docker Hands-on experience with RESTful APIs (Django/DRF or FastAPI) Strong knowledge of secure software development More ❯

frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. More ❯

communication skills and a team-oriented attitude Nice to Have (But Not Required): Internship, university project, or research involving machine learning or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker More ❯

HTML, CSS, MaterialUI. Gitflow source code management. Event driven architecture - experience with one of SQS, Kafka, Azure Service Bus, Rabbit MQ. Microservice development. Typescript Cloud native development (AWS, Azure, GCP) CI/CD. NoSQL data modelling and access patterns Important Skills AWS: familiarity with S3, AppSync, SNS, SQS, Lambda, DynamoDB, MySQL, React AWS Infrastructure as Code: CDK and CloudFormation. Xunit. More ❯

Provide mentorship and technical direction to deployment teams during client projects to ensure efficient and secure execution. Key Traits: In-depth knowledge of public cloud platforms (e.g., AWS, Azure, GCP) and their application in AI and machine learning environments. Experience with designing and managing large-scale software systems, including distributed architectures, scaling strategies, and DevOps practices. Familiarity with the full More ❯

Provide mentorship and technical direction to deployment teams during client projects to ensure efficient and secure execution. Key Traits: In-depth knowledge of public cloud platforms (e.g., AWS, Azure, GCP) and their application in AI and machine learning environments. Experience with designing and managing large-scale software systems, including distributed architectures, scaling strategies, and DevOps practices. Familiarity with the full More ❯

Provide mentorship and technical direction to deployment teams during client projects to ensure efficient and secure execution. Key Traits: In-depth knowledge of public cloud platforms (e.g., AWS, Azure, GCP) and their application in AI and machine learning environments. Experience with designing and managing large-scale software systems, including distributed architectures, scaling strategies, and DevOps practices. Familiarity with the full More ❯

a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business impact Structured Learning : Receive training and mentoring More ❯

understanding. Desirable Experience Background in infrastructure or networking. Exposure to generative AI, AWS Contact Center, data and analytics, or mainframe modernisation. Multi-cloud or hybrid cloud experience (e.g. Azure, GCP). Understanding of interoperability across cloud platforms and on-prem environments. Additional Information Candidates must be eligible for UK security clearance (typically 5 years of continuous UK residency and British More ❯

Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning classic ML, deep learning, and cutting-edge AI/agent approaches Strategic thinker who can balance More ❯

Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning classic ML, deep learning, and cutting-edge AI/agent approaches Strategic thinker who can balance More ❯

Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning classic ML, deep learning, and cutting-edge AI/agent approaches Strategic thinker who can balance More ❯

part of a team. Desirable Skills: Experience with TypeScript . Knowledge of Node.js and server-side JavaScript. Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, or GCP). Experience working in Agile/Scrum environments. Why Join Us: Work on challenging projects with a supportive team. Opportunity to gain exposure to the latest web technologies. Flexible working More ❯

part of a team. Desirable Skills: Experience with TypeScript . Knowledge of Node.js and server-side JavaScript. Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, or GCP). Experience working in Agile/Scrum environments. Why Join Us: Work on challenging projects with a supportive team. Opportunity to gain exposure to the latest web technologies. Flexible working More ❯

part of a team. Desirable Skills: Experience with TypeScript . Knowledge of Node.js and server-side JavaScript. Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, or GCP). Experience working in Agile/Scrum environments. Why Join Us: Work on challenging projects with a supportive team. Opportunity to gain exposure to the latest web technologies. Flexible working More ❯

Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving abilities, with the ability to work in ambiguous environments. Excellent communication skills to effectively present insights and recommendations. A collaborative More ❯

operations Container Orchestration : Proven track record with Kubernetes/OpenShift in production environments Big Data Ecosystem : Strong background in Hadoop, Hive, Spark, and cloud platforms (AWS/Azure/GCP) Systems Architecture : Understanding of distributed systems, high availability, and fault-tolerant design Security Protocols : Experience with LDAP, Active Directory, OAuth2, and Kerberos authentication Unix/Linux Proficiency : Advanced command-line More ❯

for 4+ years’ hands-on backend Java development experience. Strong expertise in RESTful APIs and microservice architectures. Background in distributed systems, OOP, and networking fundamentals. Cloud environment experience (AWS, GCP, etc.), plus Docker/Kubernetes and CI/CD. Proven track record optimising apps for performance, memory, and scalability. SQL/NoSQL database experience, including deployment and integration. Knowledge of More ❯

code. Proficiency in Git and GitOps methodologies. Hands-on proficiency with Golang Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯

containerisation Some completed Azure certifications are expected (AZ104, AZ900 etc) to show your desire to work in this space. These are permanent roles only. These are NOT AWS or GCP cloud roles and only need Azure experience. Candidates must either be willing to spend up to 1 day a week in London with occasional client visits, but these roles can More ❯

production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/CD, Git/GitHub, automated testing, DevOps fundamentals Ideal for: Engineers with a strong backend foundation and hands-on GenAI or LLM integration experience looking to More ❯

Python backend software engineering skills You have experience of building FastAPIs You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server and ideally Databricks, or happy to learn it) You have a More ❯

at all levels including Heads of Function Commercial mindset with proven ability to translate complex requirements into practical, high-impact solutions Highly Desirable: Broad cloud platform experience (Azure, AWS, GCP) DevOps and CI/CD expertise (GitHub, Azure DevOps, Jenkins, GitLab) Application security and quality engineering knowledge Global, matrixed organisation experience What Makes You Right for This Role You're More ❯

Have (But Not Required): Familiarity with data visualisation tools like Tableau, Power BI, or matplotlib/seaborn Experience with SQL and querying databases Exposure to cloud platforms (e.g., AWS, GCP, or Azure) Knowledge of version control systems (e.g., Git) Participation in data science competitions (e.g., Kaggle) or hackathons What You’ll Gain Real-World Experience : Work on live data projects More ❯

Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling POCs and technical demonstrations. Excellent presentation, whiteboarding, and written communication skills. Ability to travel up to 30% for client meetings and industry More ❯