1 to 25 of 609 Permanent Agile-Software-Development Jobs in London

ability to explain complex technical concepts to non-technical stakeholders and thrive in a fast-paced, client-facing consulting environment. Familiarity with Agile delivery methodologies , including Scrum or Kanban, with experience working within sprint-based delivery teams and contributing to ceremonies such as planning, retrospectives, and stand-ups. ...

fintech environments Knowledge of risk, compliance, KYC/AML, fraud systems, and regulatory workflows Strong problem-solving, communication, and stakeholder management skills in agile setups We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability ...

looking for: * Strong hands-on experience with Java, Spring Boot, and microservices * Experience across the full software development lifecycle * Knowledge of Agile and DevOps practices, CI/CD, and cloud platforms (AWS/Azure/GCP) * Experience with containerisation (Docker/Kubernetes) * Excellent communication and collaboration ...

framework. Strong stakeholder engagement and communication skills within enterprise consulting environments. Experience leading, mentoring and supporting development teams. Familiarity with Agile delivery methodologies and project delivery practices. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. ...

framework. Strong stakeholder engagement and communication skills within enterprise consulting environments. Experience leading, mentoring and supporting development teams. Familiarity with Agile delivery methodologies and project delivery practices. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. ...

Strong problem-solver with a proactive mindset. Excellent communication and collaboration on skills. Ability to work independently and take ownership. Experience working in agile and global team environments. Passion for building scalable and high-performance systems. What You'll Get Opportunity to work on a mission-critical global ...

Engineering or equivalent experience. Experience with CI/CD tools and practices. Strong problem-solving & communication skills. Adaptability/willingness to learn (e.g., Agile). Technical leadership (mentoring, best-practice guidance). Desirable: Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery). Experience with database ...

Athena. Data modelling and semantic layer design. DAX query language. Python for data processing and pipeline development. GitHub and source code management. Agile delivery environments. AI/ML Exposure (Essential) You must demonstrate practical exposure to one or more of the following: Working with cloud-based AI services ...

analytics platforms. Experience with Python and SQL-based analytics ecosystems. Familiarity with regulatory and audit requirements in banking/financial services. Knowledge of Agile/Scrum delivery methodologies. ...

technologies, modern data platforms and data management principles ·Knowledge of data governance, data quality and data strategy concepts ·Familiarity with delivery methodologies including Agile, Waterfall or SAFe ·Experience with tooling such as Jira, Confluence or similar platforms ·Exposure to cloud platforms including AWS, Azure or GCP and technologies ...

services Experience building scalable distributed systems and APIs Strong understanding of multithreading, profiling, and performance tuning Experience with modern engineering practices including TDD, Agile, CI/CD, and automated testing Understanding of clean architecture principles, SOLID design, and software quality practices Strong communication skills with the ability ...

pricing or risk systems Knowledge of Numerix or similar quant/risk platforms Understanding of ETL and data pipeline design Experience working in Agile delivery environments McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. ...

scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication skills able to explain technical concepts to varied ...

embeddings, CNNs, RNNs) Familiarity with generative AI and prompt engineering Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes Exposure to Agile development environments and software engineering best practices Experience working in large, complex organisations or regulated industries Strong working knowledge of Excel ...

Polars/PySpark Async processing/coroutines AWS cloud technologies Databricks Docker Relational and non-relational databases CI/CD and automated testing Agile/Scrum delivery environments Ideal Background Strong Python engineering experience with focus on scalable backend or data-intensive systems Experience building applications involving complex ...

systems and workflows to improve automation, detection, and insight generation Iterative delivery: Build and refine solutions based on live client feedback, maintaining an agile, backlog-driven approach to development Knowledge sharing: Contribute to internal engineering communities through demos, reviews, and continuous improvement practices What We're Looking ...

FinTech, Tech Startup, or a product company building SaaS platforms is advantageous Familiarity with Git and version control (particularly Azure DevOps) Experience with Agile development methodologies Experience with modern web development technology stack is advantageous Experience working in financial services is advantageous Strong problem-solving ...

Engineering on changes to the semantic and curated layer and data marts. Delivering complex analytics workstreams end-to-end, and working within an Agile framework to break down requirements into epics and user stories, contribute to backlog prioritisation and provide realistic estimates. Key Requirements Essential 5+ years' experience ...

Methodology for roadmap and deployment planning. Use of Solution Manager, JIRA, Confluence, and design traceability tools. Exposure to TOGAF, enterprise architecture principles, and agile delivery models is beneficial. Qualifications & Certifications Bachelors or Masters degree in Information Systems, Engineering, or Business. SAP Certification in S/4HANA Finance, Logistics ...

Software Engineer to join an embedded delivery team supporting client's technology and product teams as a senior technical lead within an agile environment. What You'll Do Design, build, and maintain scalable, production-grade software across web, API, and data layers Own technical delivery ...

orchestration technologies (e.g. Docker, Kubernetes). Exposure to MLOps practices or deploying AI/ML models into production environments. Experience working in agile or fast-paced delivery teams . ...

position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: 5+ years of professional experience in Python development, with a focus ...

distributed systems, including observability, monitoring, and production readiness Partner with product, operations, and investment stakeholders to refine requirements and deliver iterative solutions in Agile environments Core requirements 8+ years of hands-on software engineering experience across Python and object-oriented languages (Java or C++) Strong background delivering ...

environments * MSP sector background - PSA/RMM/CRM workflows, billing and service delivery * AI-assisted development (Copilot, Cursor or similar) * Agile delivery, DevOps and CI/CD pipeline experience Why this role A rare chance to own the technical foundation of a scaling MSP platform from ...

exciting time to join one of the Data Engineering squads and work closely with colleagues from other professions in multi-disciplinary teams, using agile methodologies. You will work to deliver robust data engineering solutions with increasing independence, working across a number of projects contributing to delivery standards. Main ...