1 to 25 of 70 Remote GCP Jobs in the Thames Valley

GCP Data Engineer | London | £50,000 - £70,000 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. With a diverse portfolio of clients and cutting-edge projects, our client is a trusted name in the data consulting space. Due to exciting growth plans, we are now looking for a … Data Engineer , specialising in Google Cloud Platform (GCP) and BigQuery . We are looking for: Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent … communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What’s in it for you: 📍 Location: London (Hybrid) 💻 Remote working: Occasional office visits each month 💰 Salary: £50,000–£70,000 DOE 🤝 Collaborative culture and strong team support 📈 Vast L&D opportunities both internally and externally 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 microservices architecture. Basic knowledge of front-end technologies (HTML, CSS, JavaScript). Understanding of Agile methodologies. Familiarity with CI/CD pipelines and cloud platforms (e.g., AWS, Azure, GCP). Familiarity with Cloud technologies such as Azure and AWS. Familiarity with Atlassian applications such as Jira, Confluence and Bitbucket. What We Offer: Competitive salary and benefits including private healthcare More ❯

environment Familiarity with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM More ❯

and planning sessions. What We’re Looking For: Strong Python developer with experience in multithreaded programming and frameworks like Flask. Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Experience with Node.js and React for adding features to web pages More ❯

statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

business objectives into actionable technical strategies What you’ll bring 5+ years of experience as a Google Cloud Engineer/Architect Professional-level Google Cloud certification Strong knowledge across GCP services (Compute Engine, GKE, Cloud Storage, App Engine, etc.) Hands-on experience with infrastructure as code (Terraform) and automation (Python, Bash, CI/CD pipelines) Proven track record designing and More ❯

enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave More ❯

performance optimisation Experience with microservices , distributed systems , or blockchain technologies is highly desirable Familiarity with Linux systems , CI/CD pipelines , containerisation (Docker/Kubernetes) , and cloud infrastructure (AWS, GCP, or Azure) A pragmatic engineer who values clean code, testing, and long-term maintainability Why Join Us Work on technically challenging projects where performance and reliability matter Join a team More ❯

with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated testing, and peer code reviews, to ensure code More ❯

date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working More ❯

date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working More ❯

scalability, reliability, and resilience. Has strong programming skills with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts More ❯

Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a More ❯

and maintain secure AI architectures for complex models and pipelines. Oversee ethical AI governance, driving policy alignment and responsible AI adoption. Advise clients on secure cloud AI (Azure, AWS, GCP) and DevSecOps best practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. Deep understanding of More ❯

within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days annual leave, plus a 6-week sabbatical after 5 years of service Wellbeing – Hybrid working, home office setup More ❯

proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision More ❯

base + ~20%+ bonus Team : 3–4 person AI team within a 100-person private equity firm Tech Stack : Python, LLMs, MLOps, cloud (Azure, AWS, GCP), agentic systems Visa Sponsorship : Happy to sponsor Interested? Please apply below. More ❯

having led development teams Strong understanding of architectural principles and delivery methodologies Experience working across domains such as Application, Technology, or Security Architecture Cloud experience with AWS, Azure, or GCP Familiarity with frameworks such as TOGAF, SAFe, or Scrum A collaborative mindset and passion for problem-solving in fast-paced environments The package Salary: £80,000–£105,000 Bonus, healthcare More ❯

you design with end users and UX impact in mind. Passion for clean abstractions, maintainable code, and well-defined interfaces. Nice-to-haves Experience with cloud-native infrastructure (AWS, GCP, or Azure). Familiarity with auth, billing, or subscription systems . Background in 3D graphics, creative tooling, or ML pipelines . Knowledge of observability tools like Grafana, Prometheus, or OpenTelemetry. More ❯

tools (Power BI, Tableau, Looker). Comfortable working with APIs, data pipelines and collaborating with developers. Excellent communication and stakeholder management skills. Desirable: Exposure to cloud environments (AWS, Azure, GCP). Experience with underwriting workbenches or no-code model deployment tools. London Market or specialty insurance experience. Why Apply?: Join one of the most exciting growth stories in InsurTech. Work More ❯

two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication More ❯

Deep understanding of cybersecurity fundamentals, including data security, network security, and cloud security Demonstrated ability to lead complex sales engagements Extensive experience cloud platforms such as AWS, Azure, or GCP Excellent interpersonal, communication, and presentation skills, with the ability to influence senior stakeholders Self-starter who thrives in a fast-paced, collaborative environment with minimal direction Bachelor’s degree in More ❯

record in training and enabling colleagues and clients across the Snowflake ecosystem Experience in design and delivering business solutions on other modern data platforms (e.g. Databricks, Azure, AWS or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow History of More ❯