26 to 40 of 40 CI/CD Jobs in East London

large-scale compute platforms • Experience developing and supporting production-grade microservices using Docker and Kubernetes • Strong Linux knowledge and familiarity with CI / CD pipelines and automation tooling • Experience working with large datasets, scalable infrastructure, or high-availability systems • Confident communication skills and the ability ...

strategy, scalability, reliability, and security Work closely with product and leadership teams to shape technical roadmap Champion engineering excellence, DevOps culture, CI / CD, and automation Explore and implement modern AI-assisted engineering tooling and workflows Required Experience Were looking for a strong technical leader ...

mathematical optimisation, and performance challenges at scale - a long way from your average API job. Requirements: 7+ years experience developing and maintain scalable Python / FastAPI back-end services Ideally worked with high-performance APIs for complex hierarchical data queries and grid modelling computations Managed and optimised GCP cloud … infrastructure, implementing CI / CD pipelines and infrastructure-as-code Lead technical planning by breaking down roadmap items into scoped engineering work, driving ADRs and setting standards for code quality, testing, and API design Collaborate cross-functionally with front-end, data engineering, modelling and product ...

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 / ...

teams. Competence, knowledge and skills 4+ years of professional experience in mobile application development. Strong understanding of mobile DevOps practices, including CI / CD pipelines, release management, and app store deployment processes. Advanced software engineering skills, including writing high-quality code, conducting thorough code reviews … Place to Work in 2025 and 2026a reflection of our supportive and collaborative culture. What we offer 26days holiday, increasing with service + buy / sell scheme + bank holidays 7% Pension with matched contributions Discretionary bonus scheme Share schemes (including free shares and BAYE) Health Cash Plan ...

Lead Data Engineer Hybrid Working - 2-4 day per month in the office (East London / Essex) Salary to £75k A Lead Data Engineer is required for a transformational role. With Fabric already in place, the focus is now on maturing the environment from Bronze through to Gold over … challenges Microsoft certifications (e.g. DP-600, DP-900) Desirable Skills Experience managing or mentoring engineers (or readiness to step into leadership Exposure to DevOps / CI-CD practices within data engineering Experience in complex or enterprise environments Interviews are planned for May. Please apply today ...