1 to 25 of 44 Permanent Performance Optimisation Jobs in Central London

identify when a specialist should be engaged. Platform and infrastructure guidance: Support discussions involving deployment architecture, cloud and on-premises environments, GPUs, high-performance computing, performance, scalability, security, configuration and operational readiness. Partner with infrastructure and engineering specialists where deeper analysis is needed. Solution building and proofs … teams to deliver product demonstrations, technical presentations and solution workshops. Respond credibly to detailed questions from actuaries, quantitative analysts, technology leaders and other stakeholders. Performance optimisation: Analyse client implementations and guide the refactoring and optimisation of models and workflows to take advantage of PathWise performance, including ...

optimising mission‐critical trading services across multiple asset classes. Role Responsibilities Design and implement distributed, fault‐tolerant Java services for electronic trading environments Lead performance tuning, optimisation, and refactoring of low‐latency trading components Investigate and resolve production issues, ensuring system stability and high availability Collaborate with global … Architecture, DevOps, and Product Mentor and guide engineers to improve technical capability and engineering standards Experience/Competences Strong experience designing and building high‐performance, low‐latency Java services within electronic trading Strong experience with distributed messaging technologies (Solace/Kafka) and real‐time systems Strong experience designing ...

week in office We are assisting with the hire of an experienced low-latency engineer to join a specialist team building frameworks, libraries and performance tooling used across a large global electronic trading environment. This is not a traditional BAU development role attached to one desk or application. … team works across multiple trading platforms, solving complex performance problems and helping define how latency-sensitive systems should be engineered. Approximately 90% of the role is hands-on coding , with a major focus on Rust alongside modern Java. What youll work on Low-latency Rust and Java frameworks Event ...

direction of the systems they build. You will work on a combination of greenfield development and the continuous improvement of established platforms, building high-performance, reliable and scalable applications that directly support real-world trading strategies and quantitative research. As a senior member of the engineering team, you will … have the opportunity to influence technical architecture, development standards, performance optimisation and engineering best practices, while working closely with researchers, traders and other technical specialists. Key Responsibilities Design, develop and maintain high-performance applications using C# and modern .NET Take ownership of significant software development projects from ...

letter queues, and asynchronous messaging. Work within established development and release processes to ensure high-quality software delivery. Contribute to code quality, automated testing, performance optimization, and system reliability improvements. Support CI/CD deployment pipelines and collaborate with DevOps teams to ensure smooth and reliable application delivery. Contribute ...

driving DevOps maturity, CI/CD excellence, and automation strategy across multi-tenant cloud platforms, while leading geographically dispersed teams and ensuring robust operational performance, governance, and continuous improvement. Key Responsibilities of the Head of DevOps and Platform Automation: Own and evolve the DevOps, CI/CD and automation … improvement and engineering excellence Oversee end-to-end platform lifecycle management ensuring availability, resilience, security and compliance across all tooling environments Drive standardisation and optimisation of CI/CD pipelines, automation frameworks and DevOps practices across the organisation Manage BAU performance, incident escalation and service reliability for critical ...

About Schroders Schroders is a global investment manager which provides active asset management, wealth management and investment solutions. We aim to provide excellent investment performance to clients through active management. We serve a diverse client base that includes pension schemes, insurance companies, sovereign wealth funds, endowments, foundations, high … Azure, including cloud-native application development, data services, security, monitoring and integration capabilities. Proven experience using Snowflake as a data platform, including data modelling, performance optimisation, security, ingestion and transformation patterns. Design and implement scalable, secure and reliable data pipelines and integration services across client, CRM and enterprise ...

endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full‐Stack Development: Develop responsive and performant front‐end applications using ReactJS, focusing on UX/UI best practices. Integration & Automation: Architect … development teams and managing large‐scale projects. Database Expertise: In‐depth experience with PostgreSQL/SQL, including design of complex schemas, writing queries and performance optimisation. Security & Performance: Deep understanding of application security best practices, performance tuning, and scalable architecture. Problem‐Solving: Ability to troubleshoot complex technical ...

development using modern .NET, cloud, and database technologies Influence and shape cloud-based integration modernisation (Azure preferred) Troubleshoot complex integration issues, ensuring performance, reliability, and data quality Support documentation, standards, and governance for integration patterns Play a key role in solution design for business and digital transformation initiatives … integration technologies Experience designing and delivering integrations using RESTful services, messaging, or service bus patterns Solid understanding of SQL Server, T-SQL, and database performance optimisation Experience working with Azure (Functions, Service Bus, Logic Apps, AKS, or related services) Hands-on experience with CI/CD pipelines, DevOps ...

role is to engineer resilient Inter-Office integrations and workflows that automate recovery, streamline price-band governance, and surface real-time matching performance—reducing manual effort, improving compliance, and strengthening Inter-Office market oversight. Develop the automation of test tooling and framework development for the Inter-Office Trading platform … Required Knowledge and Level of Experience: Degree in Computer Science, IT or related disciplines. 5+ years’ experience in software development with Java (JVM), including performance optimisation and profiling. Deep understanding of cloud infrastructures, usage patterns, across at least one major cloud vendor. Knowledge of off-heap data structures ...

manage AI platforms and agent infrastructure - Build and maintain CI/CD pipelines and DevOps workflows - Implement observability, monitoring, and logging solutions - Optimise performance, scalability, and cost efficiency - Support AI teams with infrastructure, deployment, and integration - Ensure platform security, compliance, and high availability - Automate infrastructure using Infrastructure as Code … practices - Experience with Kubernetes/containerisation technologies - Strong programming skills (e.g. Python, Go, Node.js) - Experience with observability tools (e.g. OpenTelemetry, Datadog) - Understanding of security, performance optimisation, and scalability Desirable Skills - Experience working on AI/ML platforms or deployments - Exposure to large-scale distributed systems - AWS certifications ...

ensuring consistent delivery against ambitious commercial objectives. Key responsibilities include: Developing and delivering the national sales strategy to drive sustainable revenue growth Owning sales performance, forecasting, budgeting and territory planning Building, coaching and developing a high-performing field sales team Creating a culture of accountability, continuous improvement and commercial … excellence Establishing scalable sales processes, performance metrics and reporting frameworks Monitoring key business performance indicators and identifying opportunities for growth and optimisation Collaborating with senior leadership and cross-functional teams to align commercial objectives with wider business goals Building strong relationships with executive-level stakeholders across ...

objectives into sound technical designs and testable acceptance criteria; decompose epics into implementable stories Design and implement complex features; complete complex bug fixes and performance improvements Define and uphold Definition of Ready/Done including code quality, automated test coverage, security checks, and observability Establish/maintain CI/…/JVM, JavaScript/TypeScript, .NET/C#, Python, C/C++, SQL, Linux, or Windows Experience with relational and non‐relational data stores, performance tuning, and data modelling Knowledge of CI/CD platforms, containers, cloud technologies, observability, and monitoring practices Understanding of secure coding, performance optimisation ...

related fields. Experience in Python, Pandas, PySpark, and Notebooks. SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc. Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence. Experience with ETL and data warehousing like Databricks ...

Visualforce, SOQL/SOSL, triggers, controllers and Salesforce platform technologies . Design reusable development frameworks and components, ensuring high standards across code quality, performance, testing and maintainability . Implement complex Salesforce configuration, automation, workflows, approvals, validation rules and security controls . Agentforce, AI & Data Cloud Design and develop Salesforce … leadership across Salesforce programmes, contributing to solution design, development standards, code reviews and engineering best practices . Drive continuous improvement across development, automation, platform performance and technical delivery. Key Skills Extensive hands‐on experience delivering enterprise Salesforce solutions , with strong development expertise across Apex, Lightning Web Components (LWC), Visualforce ...

values, with close attention to point in time integrity (as of date versioning, no look ahead bias, clean handling of revisions). Automation and optimisation: automate data workflows and build in data quality checks so parsing failures, gaps or stale data are caught before they reach research. Documentation … time to time Technical Requirements: Proven experience with Python, especially Pandas and NumPy Mastery of SQL and PostgreSQL: schema design, complex queries, indexing and performance optimisation, beyond basic querying Experience with pipeline orchestration and scheduling Proven ability to deliver reliable, tested scripts against a written specification ...

including speccing, architecture, development, testing, deployment, release and monitoring Strong skills in building maintainable tests, observability and tracing systems. Knowledge of best practices for performance optimisation, memory management. Familiarity with Kubernetes , Docker and other cloud infrastructure, ops and containerised tools. Strong analytical and troubleshooting skills – methodically decomposing systems ...

operational excellence standards across Insurance technology platforms. The team partners closely with application, infrastructure, database, and cloud engineering teams to improve platform availability, scalability, performance, and resilience. ICS leads strategic initiatives including SLO/SLI implementation, observability platform adoption, cloud modernization, operational readiness reviews, performance engineering, and reliability … direction for Site Reliability Engineering initiatives across multiple product portfolios. You will lead a team of SREs responsible for ensuring the reliability, scalability, security, performance, and operational excellence of mission-critical applications and platforms. The SRE Lead will partner closely with engineering, architecture, security, operations, and business stakeholders ...

Markets is seeking a Senior Low Latency Java Developer to join our Quantitative Strategies team within Pricing & Risk, working on our high-performance, high-frequency trading platform. This is a hands-on role at the core of our market-making technology stack, where nanoseconds matter and engineering excellence … critical. You will design and build ultra-low latency pricing and risk systems that directly power our global trading operations. If you thrive in performance critical environments and want your work to have real market impact, we would love to hear from you. Please note that this ...

data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation. You will join the Song AI & Data UK practice, within the AI & Modelling … cloud data platforms. Make key architectural decisions covering technology selection, integration patterns, build-versus-buy approaches, security, governance, performance and operational support. Lead multidisciplinary delivery teams of engineers, data scientists and AI specialists, providing technical direction from initial concept through to production deployment and optimisation. Design solutions that meet ...

pain; you define the problem, not just the solution. Engineer AI solutions properly. Pipelines, LLM API integration, evals, guardrails, monitoring, and cost and accuracy optimisation for the systems you build. Know when a step must be deterministic and when an LLM is the right tool. Graduate tools into business … testing prompts and workflows. Safety and guardrails in practice: PII handling, data-boundary discipline, prompt-injection awareness, human-in-the-loop design. Cost and performance optimisation: model selection, caching, batching, token economics, latency budgets. Deployment and operations: CI/CD, containerisation, monitoring and alerting for AI workloads. Data ...

data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation. You will join the Song AI & Data UK practice, within the AI & Modelling … production and measurable client value. Make the technical decisions on your workstream, covering analytical approach, model and architecture selection, evaluation, guardrails, and cost and performance trade-offs. Apply techniques included segmentation, experimentation, propensity modelling, churn prediction, customer lifetime value and next-best-action modelling to generate insight and improve ...

pipeline changes, data-quality troubleshooting and code review. What we’re looking for 5+ years' experience building production data pipelines Advanced SQL , including performance optimisation on large tables Strong Python for data engineering Experience with Presto, Spark, Hive or similar Experience with Airflow or another workflow scheduler Strong ...

migration and re-platforming of legacy or monolithic applications to microservices-based architectures . Define and implement cloud-native designs , ensuring scalability, security, and performance optimization. Collaborate with enterprise and solution architects to define modernization roadmaps and deployment strategies . Provide technical direction during cloud transformation engagements , including assessment ...

unstructured operational data and structured financial transactions. This is a hands-on role for an engineer who can make sound architectural decisions, solve demanding performance challenges and translate complex financial structures into maintainable graph models and data pipelines. Fractional Lead Graph Engineer Key Responsibilities: - Design and develop a scalable … Strong production experience with Neo4j and graph query languages such as Cypher or Gremlin - Deep understanding of graph modelling, distributed systems, data architecture and performance optimisation - Experience with streaming technologies such as Apache Kafka and Flink - Able to work hands-on while providing senior architectural guidance within ...