1 to 25 of 51 Remote GCP Jobs in Berkshire

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

Designing and implementing CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI Managing infrastructure as code (Terraform, Pulumi, CloudFormation) Supporting cloud environments (AWS, Azure, or GCP) Monitoring and optimizing system performance and reliability Collaborating with development and operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments 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 ❯

microservice architecture. Proven hands-on experience with Kafka (or RabbitMQ, Pulsar, or similar). Strong understanding of REST APIs and integration patterns. Experience with cloud environments (AWS, Azure, or GCP). Good knowledge of CI/CD tools and containerisation (Docker, Kubernetes). Understanding of system design, distributed systems, and data streaming. Strong problem-solving skills, with the ability to More ❯

. Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS, GCP, or Azure). Strong understanding of financial data structures – including trades, positions, executions, and market data. Preferred (Bonus) Qualifications Experience in financial markets, particularly in brokerage, trading desks, or hedge 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 ❯

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 : £40,000 – £45,000 plus 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 ❯

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

different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 with the subject line: “ Application Support Request” Role: Senior GCP Data Engineer. Job Type: Permanent Location: London, UK (Hybrid - 2 days WFO) Number of hours: 40 hours per week – full time We have an exciting opportunity for you as a … GCP Data Engineer. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it … and thought leadership. Gain access to endless learning opportunities. Lead projects and inspire both colleagues and stakeholders. Lead a team and their technical growth. The Role As a Senior GCP Data Engineer you will be responsible for providing top-tier data capabilities, leveraging your engineering skills, and embracing the possibilities offered by cloud technology. Key responsibilities: API Development: Design, develop More ❯

best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun people, there More ❯

reviews, and promote engineering best practices. Required Skills & Experience: Substantial experience in AI/ML product development. Strong background in Python, TensorFlow or PyTorch, and cloud ML services (AWS, GCP, or Azure). Proven ability to build, tune, and deploy ML models into production. Experience developing and maintaining high-performance APIs and backend services. Proficiency with Kubernetes, Docker, Airflow, Jenkins More ❯

Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast More ❯

support marketing experiments, attribution modelling, and performance optimisation. Contribute to future data projects, including media mix modelling, lead/session scoring, and pipeline optimisation. Tech Stack Data stored in GCP (GA4, ad platforms, internal sources). BigQuery for querying. Google Cloud Functions for data ingestion. Reporting in Tableau (key focus for this role). Requirements 6+ years’ experience in analytics More ❯

a strong sense of ownership and accountability Sufficient technical understanding to engage effectively with engineering teams and understand technical challenges and dependencies. Familiarity with IoT, cloud platforms (AWS, Azure, GCP), and data integration. Experience with Azure DevOps, Jira suite and/or other collaboration platforms is desirable. Knowledge of the EV charging industry is desirable. Qualifications and Certifications Relevant degree More ❯

TypeScript, Java, and Spring Framework . Proven track record of delivering fullstack applications in agile environments. Solid understanding of REST APIs, microservices, and cloud deployment (AWS/Azure/GCP a plus). Experience with CI/CD pipelines, Git, and modern development tooling. Strong problem-solving skills and ability to work independently. Contract Details Outside IR35 Hybrid – 2 days More ❯

Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

solid understanding of capital markets and post-trade processes, including clearing, settlement, and reconciliation. Technical Breadth: Significant experience with distributed systems, cryptography, and cloud infrastructure (AWS/Azure/GCP). An Entrepreneurial Spirit: You are comfortable with ambiguity and possess the drive to navigate technical challenges and prove the viability of a new solution. Bonus points if you have More ❯

and version control best practices in a collaborative engineering environment. Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation More ❯

messy data A consulting approach - proactive, collaborative, and detail-driven Nice to Have: Experience with UK Local Government datasets or public sector systems Familiarity with cloud platforms (Azure, AWS, GCP) Knowledge of spatial data tools (ArcGIS, QGIS) Experience with document management systems and data validation processes What's in it for You? Salary up to £55,000 depending on experience More ❯

segmentation, and access controls. Hands-on experience with operating systems (Windows, Linux, UNIX) and their security requirements. Proven experience with cloud security architecture; direct Azure expertise preferred, AWS and GCP experience beneficial. Strong knowledge of security frameworks and standards (e.g. NIST 800-53, ISO 27001/27002, CSA CCM/CIAQ, MITRE). Developed understanding of the cyber threat landscape More ❯

with engineering teams to deliver high-quality, future-proof architectures. Key Requirements Proven expertise in Microsoft Azure cloud-native architecture and services. Experience working within multi-cloud environments (AWS, GCP desirable but not essential). Strong stakeholder management and relationship-building skills, able to operate confidently at all levels of the organisation. Background in shaping cloud roadmaps and architecture frameworks More ❯