151 to 175 of 241 Performance Optimisation Jobs in London

adoption and build‐out of RT/OD capabilities on strategic risk platform, including integration of new analytics, workflows, and risk datasets.* Deliver significant performance improvements through optimized risk calculation strategies.* Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency. … Container technologies such as Docker, Kubernetes, OpenShift, etc.* Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc* Proficient in latency measurement and performance optimization of Java based platforms with focus on JVM tuning* Experience with observability stacks like ELK, Prometheus, Grafana, Kiali, Jaeger etc.* Sound knowledge ...

engineering standards. Establish best practices for: Clean code and maintainability; Testing strategy (unit, integration, E2E); CI/CD pipelines; Observability and monitoring; Security and performance optimisation. Ensure scalability, reliability, and long‐term technical sustainability of a high‐throughput, event‐driven platform. Reduce technical debt through structured improvement initiatives. Line … . Experience with CI/CD pipelines; Containerisation (Docker, Kubernetes preferred); Version control systems (Git). Strong knowledge of design patterns; Secure coding practices; Performance optimisation. Experience leading or mentoring engineers. Strong people management skills. Comfortable giving constructive feedback and conducting performance reviews. Strong communicator across technical ...

platforms and analytics solutions. The ideal candidate should have strong experience in cloud data engineering, ETL/ELT development, data transformation, data warehousing, and performance optimization. Experience working in regulated industries such as Banking, Financial Services, Insurance, or Healthcare is preferred. Hybrid working: The places that you work from … manage ETL/ELT workflows for data ingestion, transformation, validation, and reporting. Develop and maintain dbt models, tests, snapshots, macros, and documentation. Create high-performance data transformation solutions using PySpark and SQL. Design and optimize Snowflake data warehouse solutions. Integrate data from multiple sources including databases, APIs, cloud storage ...

/4HANA Embedded Analytics Virtual Data Models (VDM) CDS Views and Custom CDS Extensions SuccessFactors reporting, domains, and custom field enablement Ensuring scalability, performance optimization, security, and compliance with data governance standards. Integration & Ecosystem Architecture Integrate SAP and non‐SAP applications, including: SAP S/4HANA SuccessFactors Integrated Business …/RFI responses Architecture assessments and roadmap engagements Drive innovation in: AI‐enabled analytics Embedded analytics Data products and data monetization Enterprise planning and performance management Develop reusable assets, accelerators, frameworks, and best‐practice methodologies. Contribute to thought leadership and market‐facing initiatives within the SAP Data & Analytics domain. ...

join a Software Engineering team delivering enterprise-scale solutions. This is a hands-on role where you'll design, develop and enhance high-performance applications while collaborating with architects, project managers and cross-functional teams. You'll also mentor junior developers and help drive engineering best practices. Key Responsibilities … enterprise software solutions. Analyse business requirements and contribute to technical design. Develop new features and product enhancements. Carry out code reviews, unit testing and performance optimisation. Support integration testing, bug fixing, releases and deployments. Collaborate within Agile teams, contributing to sprint planning and estimations. Produce technical documentation and promote ...

consolidation of real-time analytics platforms onto a scalable architecture. Enhance and optimise the lakehouse environment, including schema management, data contracts, partitioning strategy, and performance optimisation. Build reliable, production-grade data foundations that support analytics, machine learning, and data science initiatives. Establish and promote engineering best practices across infrastructure … with Kubernetes and infrastructure as code approaches. Ability to partner effectively with data scientists, analysts, and business stakeholders. Strong understanding of data platform reliability, performance, scalability, and cost optimisation. Experience with technologies such as ClickHouse, Apache Iceberg, BigQuery, dbt, Elasticsearch, Druid, GCP, or AWS is highly desirable. ...

Server and SAP Business One backend tables Database Management : Write optimized SQL queries, stored procedures, and indexing strategies to efficiently handle large datasets Performance Optimization : Monitor and enhance API performance, database query execution, and application scalability Documentation : Maintain clear and detailed documentation for APIs, database structures … Code Quality : Conduct code reviews, debugging, and error handling to maintain system reliability Best Practices : Stay up to date with API design standards, database performance tuning, and cloud integration trends What You’ll Need 5+ years of backend development experience Strong .NET and C# skills for API development ...

Power BI semantic models, dashboards and reporting solutions for Risk Reporting, with particular focus on semantic model architecture, automated refresh processes, partitioning, governance and performance optimisation. Responsibilities: Designing and developing enterprise-grade Power BI reports, dashboards and scorecards. Building and maintaining semantic models using dimensional modelling best practices. Developing … advanced DAX calculations, calculation groups and optimisation techniques. Implementing Incremental Refresh and semantic model partitioning strategies. Managing large-scale datasets and optimising refresh and query performance. Developing and supporting Python-based processes used to trigger semantic model refreshes and processing. Integrating Power BI with orchestration and scheduling frameworks. Implementing ...

Power BI semantic models, dashboards and reporting solutions for Risk Reporting, with particular focus on semantic model architecture, automated refresh processes, partitioning, governance and performance optimisation. Responsibilities: Designing and developing enterprise-grade Power BI reports, dashboards and scorecards. * Building and maintaining semantic models using dimensional modelling best practices. * Developing … advanced DAX calculations, calculation groups and optimisation techniques. * Implementing Incremental Refresh and semantic model partitioning strategies. * Managing large-scale datasets and optimising refresh and query performance. * Developing and supporting Python-based processes used to trigger semantic model refreshes and processing. * Integrating Power BI with orchestration and scheduling frameworks. * Implementing ...

cloud, data, and finance transformation initiatives. The ideal candidate will possess deep expertise in Google Cloud Platform (GCP) architecture, Oracle Integration Cloud (OIC), Enterprise Performance Management (EPM) strategy and tooling, and Databricks‐based data platforms. This role will be responsible for defining target‐state architectures, assessing and recommending … finance transformation programs. Design scalable, secure, and high‐performing GCP‐based architecture solutions aligned with business and technology objectives. Assess existing finance and performance management landscapes and provide EPM tooling recommendations based on business requirements, scalability, and future‐state strategy. Architect and govern Oracle Integration Cloud (OIC) solutions ...

Workplace and automation solutions. Work closely with infrastructure, cloud, application and business teams to deliver scalable enterprise service management platforms. Drive automation and workflow optimisation to improve service delivery and operational efficiency. Define solution architecture, technical standards, governance and best practices. Support continual improvements across Incident, Problem, Change, Asset … Configuration Management processes in line with ITIL. Provide technical leadership for platform upgrades, migrations and integration projects. Monitor platform performance, troubleshoot complex technical issues and ensure platform stability. Produce architecture documentation, technical designs and operational procedures. Engage with stakeholders throughout the delivery lifecycle to support strategic transformation initiatives. Implement ...

This role is focused on the end-to-end lifecycle of production-grade AI, from training and fine-tuning specialized models to architecting high-performance inference pipelines. The ideal candidate views AI as a rigorous engineering discipline. Beyond building models, you will be responsible for writing high-quality, maintainable … Training & Fine-Tuning: Lead the adaptation of Large Language Models (LLMs) for domain-specific tasks using techniques like LoRA, QLoRA, and PEFT to balance performance with resource efficiency. Inference Optimization: Architect and optimize inference pipelines to minimize TTFT (Time to First Token) and maximize throughput. This includes implementing quantization ...

across application and data layers with growing autonomy. Designs data models for common patterns (including star/snowflake for analytics), optimizes queries, and debugs performance issues. Leverages the company Application Express and PL/SQL where appropriate; adds telemetry to track usage, conversion, and latency. Applies secure coding practices … features spanning application services and the company Database data models (including star/snowflake patterns). Diagnose and improve query and API performance affecting user experience and service-level agreements. Introduce controlled experiments (A/B tests) with clear success metrics and data collection plans. Designs existing ...

industry’s most talented engineers and AI specialists. Key Responsibilities Design and build AI‐powered products and platforms using Golang. Develop high‐performance backend services and APIs that operate at enterprise scale. Build and enhance internal developer tools, frameworks and reusable components. Partner with product, engineering and AI teams … operate systems within microservices and distributed environments. Experience with cloud‐native technologies, containerisation and Kubernetes. Strong understanding of software engineering fundamentals, system design and performance optimisation. Experience building products and platforms from concept through to production. Exposure to AI, Machine Learning or LLM‐powered applications is highly desirable. ...

industry’s most talented engineers and AI specialists.**Key Responsibilities*** Design and build AI-powered products and platforms using Golang.* Develop high-performance backend services and APIs that operate at enterprise scale.* Build and enhance internal developer tools, frameworks and reusable components.* Partner with product, engineering and AI teams … operate systems within microservices and distributed environments.* Experience with cloud-native technologies, containerisation and Kubernetes.* Strong understanding of software engineering fundamentals, system design and performance optimisation.* Experience building products and platforms from concept through to production.* Exposure to AI, Machine Learning or LLM-powered applications is highly desirable. ...

company Group brand dedicated to AI-powered, secure, end-to-end digital services. the company designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements. With more than … Microservices, AWS, and Cloud technologies . You will have the opportunity to work on large-scale digital transformation initiatives, application modernization, cloud migration, performance optimization, and automation programs that deliver measurable business value and customer outcomes. Better Technology: Team is no longer limited to traditional application support. It leverages ...

complex data lineages easy to understand for everyone in the organization. Responsibilities Own and Administer Snowflake: Manage the end-to-end Snowflake environment, including performance tuning, RBAC security modeling, cost optimization, user permissions, and compute management. Architect dbt Foundations: Lead the development of our dbt project, establishing standards … Analytics Architecture or Data Engineering, with a proven track record of owning a cloud data warehouse at scale. Mastery of Snowflake architecture, administration, and performance optimization. Advanced proficiency in dbt (Core or Cloud), including experience with macros, packages, and complex DAG management. Demonstrated success working within a distributed team ...

Lead the design and delivery of user interface capabilities across Execute, from discovery to production support Set front‐end technical direction, including architecture, standards, performance, and testing strategy Partner with product, business stakeholders, and designers to translate trading workflows into intuitive UX Drive quality through thorough testing, troubleshooting … performance optimization Build high‐performance, real‐time UIs with strong responsiveness and stability Establish and evolve scalable UI architecture, including component libraries and shared platform services Drive engineering excellence through code reviews, quality gates, CI/CD, observability, and operational readiness Ensure secure, compliant development practices aligned ...

Lead the design and delivery of user interface capabilities across Execute, from discovery to production support Set front-end technical direction, including architecture, standards, performance, and testing strategy Partner with product, business stakeholders, and designers to translate trading workflows into intuitive UX Drive quality through thorough testing, troubleshooting … performance optimization Build high-performance, real-time UIs with strong responsiveness and stability Establish and evolve scalable UI architecture, including component libraries and shared platform services Drive engineering excellence through code reviews, quality gates, CI/CD, observability, and operational readiness Ensure secure, compliant development practices aligned ...

Linux as part of a wider modernisation programme. Refactor and modernise legacy components while maintaining stability and existing functionality. Build and enhance high-performance, low-latency, server-side systems supporting a live platform. Integrate platform services with AWS where required as part of the wider cloud programme. … Windows and Linux environments is essential. Demonstrable experience modernising, upgrading and maintaining large, legacy C++ platforms. Strong understanding of multithreading, concurrency, memory management and performance optimisation. Server-side development experience with solid networking fundamentals, including TCP. Strong unit testing practices and experience working with CI/CD pipelines. Experience ...

modern deployment practices, including Docker, containers, and Kubernetes Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact … Azure, or Google Cloud, and a solid understanding of modern deployment practices including Docker and Kubernetes. Capable of designing scalable architectures and optimizing performance through effective testing strategies and collaboration in a team‐oriented environment. #J-18808-Ljbffr ...

capabilities with Retrieval‐Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source … that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise‐grade containerized ...

Summary We are seeking an experienced Senior Unreal C++ Developer to lead the design and development of high-performance backend systems within our iGaming platform. This role combines hands‐on engineering excellence with technical leadership responsibilities, including mentoring junior and mid‐level developers, reviewing code quality, and driving best … ideal candidate will have strong expertise in in Unreal Engine 5, modern C++, Blueprints, and shader development, with a strong understanding of real-time, performance critical systems. Main Responsibilities Contribute to the development and evolution of technology strategies, architectural roadmaps, and system reviews, identifying and implementing innovative solutions. Play ...

Lead the design and delivery of user interface capabilities across Execute, from discovery to production support Set front-end technical direction, including architecture, standards, performance, and testing strategy Partner with product, business stakeholders, and designers to translate trading workflows into intuitive UX Drive quality through thorough testing, troubleshooting … performance optimization Build high-performance, real-time UIs with strong responsiveness and stability Establish and evolve scalable UI architecture, including component libraries and shared platform services Drive engineering excellence through code reviews, quality gates, CI/CD, observability, and operational readiness Ensure secure, compliant development practices aligned ...

Architect is accountable for the technical architecture of the enterprise data platform, ensuring it meets the demands of a growing data estate while maintaining performance, cost efficiency, security, and alignment with enterprise architecture standards. This role will be expected to own the internal technical architecture (compute and storage design … ingestion framework patterns, data modelling standards, andaccess control architecture, platform performance and capacity planning, and establishing architectural authority, documenting design decisions, and ensuring knowledge retention within Burberry. This role defines the architecture, sets the standards, provides design governance, and ensures what is built is consistent, scalable, and aligned ...