1 to 25 of 27 Remote/Hybrid CI/CD Jobs in Surrey

Role: Developer / Systems Engineer Industry: Satellite Communications / Secure Communications / Network Infrastructure Industry Location: Redhill, Surrey (Onsite First 6 Months), Hybrid after probation / training period – up to 6 remote days per month Type: Permanent We are currently supporting a highly respected organisation operating … secure communications, satellite networking, and critical infrastructure sectors in its search for a Developer / Systems Engineer. This is an opportunity to join a technically advanced engineering environment delivering bespoke solutions across satellite communications, enterprise networking, remote connectivity and mission-critical infrastructure. Due to the nature ...

Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI / CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future … simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP / Python and / or Node JS 8+ knowledge, and CI / CD experience (ideally with Jenkins). Advanced ...

Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI / CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future … simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP / Python and / or Node JS 8+ knowledge, and CI / CD experience (ideally with Jenkins). Advanced ...

.NET Developer - Epsom (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI / CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is a global video technology company … opportunity to work on enterprise level software development projects and training into: .NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI / CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Azure, Solid, DRY, LINQ, Agile and MongoDB. You will follow ...

Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI / CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future … simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP / Python and / or Node JS 8+ knowledge, and CI / CD experience (ideally with Jenkins). Advanced ...

Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI / CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future … simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP / Python and / or Node JS 8+ knowledge, and CI / CD experience (ideally with Jenkins). Advanced ...

Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI / CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future … simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP / Python and / or Node JS 8+ knowledge, and CI / CD experience (ideally with Jenkins). Advanced ...

Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI / CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future … simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP / Python and / or Node JS 8+ knowledge, and CI / CD experience (ideally with Jenkins). Advanced ...

powered solutions. This role goes beyond traditional program management. You will operate as a technical leader, partnering closely with software engineers, architects, and data / AI teams to deliver scalable, high-impact systems. You will play a critical role in orchestrating large, multi-functional engineering initiatives, influencing system design … Accountabilities: Technical Program Leadership Lead end-to-end delivery of complex, multi-team engineering programs, including distributed systems, platforms, and AI / ML solutions. Own program execution across architecture, design, development, testing, and deployment phases. Drive alignment on technical strategy, trade-offs, and delivery turning points. Manage dependencies across ...

timely and reliable manner. Follow and uphold established software engineering standards and best practices across bp. Develop, maintain, and improve CI / CD pipelines to support reliable and repeatable releases. Support configuration and release processes to ensure smooth and predictable deployments. Share knowledge with teammates … practices. A collaborative mindset and the ability to communicate clearly with engineers, product managers, and other stakeholders. Hands-on experience with CI / CD pipelines, build automation, or release processes. Practical experience designing and working with relational databases and data models. Proficiency in at least ...

ways of working which are designed to improve service considering both Online and Offline. Whilst ensuring the team prioritises actions which delight the customer / team member. Key Responsibilities: . Design, develop, and maintain high-quality software solutions.. Collaborate with product managers, designers, and other stakeholders to define project … ensuring minimal disruption to development processes.. Optimize application performance and scalability through effective coding practices and system design.. Implement and manage CI / CD pipelines to streamline the development and deployment process.. Ensure the security and integrity of software applications through adherence to cybersecurity best ...

skills. Experience with cloud data platforms such as Databricks or Snowflake on AWS. Strong skills in Python, PySpark, and SQL. Good understanding of ETL / ELT pipelines and data transformation. Experience with data modelling and database optimisation. Strong knowledge of DBT and SQL best practices. Experience using CI … / CD and version control tools such as Git and Jenkins. Experience with orchestration tools such as Airflow. Knowledge of BI and visualisation platforms such as Tableau. A mindset focused on learning, improvement, and software engineering best practices. At Ageas we offer a wide range of benefits ...

Lead C# Developer / Software Engineer (C# .Net Azure SaaS) Reigate / WFH to £100k Are you a backend focussed C# technologist with an indepth knowledge of Azure? You could be progressing your career in a senior, hands on role at a global InsurTech business that is producing … development of complex, data driven features and applications, taking ownership and working independently to deliver secure cloud based resources, solutions and services. Location / WFH: There's a flexible work from home hybrid model, you'll join colleagues in the Reigate office twice a week for team meet ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...

favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A / B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing … extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML / DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI / ...