Top Java Jobs in Manchester

Provide post-go-live Workday integrations support: handle tickets, resolve issues, develop and test integrations, deliver customer-facing workshops and demonstrations, and improve tools/processes. Build high-quality integration solutions using XML/XPath/XSLT and object-oriented programming, collaborate with teams, and maintain strong customer relationships to meet SLAs.

As a Senior Software Engineer, you'll maintain critical data framework integrations, ensuring performance and reliability while collaborating with the community, affecting real-time analytics and observability systems.

Develop and maintain the CC Responder Windows application for first responders, involving design, development, testing, and documentation in an agile environment.

Responsible for the technical deployment of the Guardian system, ensuring it meets requirements, integrating with client environments, and managing customer communications.

The role involves delivering solutions, building customer relationships, designing architectures, and integrating Elastic products for public sector clients, requiring security clearance.

The Senior Sales Engineer at MariaDB will manage technical sales processes, design solutions for clients, and collaborate with sales to close deals in the EMEA region.

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC, drive feature development, conduct code reviews, support CI/CD and DevOps practices, and ensure system performance, security, and reliability.

Design and implement low-latency, large-scale ads auction and marketplace systems. Build backend services for bid evaluation, ranking, pricing, pacing, and frequency capping. Integrate SSP/DSP sources, run A/B experiments, collaborate with product and data science, and ensure auction correctness, compliance, reliability, and performance.

Lead product strategy and roadmap, collaborate with cross-functional teams, prioritise and manage the backlog, drive product innovation using client feedback and industry trends, facilitate agile delivery, and monitor product performance to inform continuous improvement.

Participate in a 16-week training linked to a client role to develop AI/ML and generative AI/LLM models, evaluate and document models and risks, produce analyses for business decisions, collaborate with SMEs, and demonstrate leadership and ownership while publishing patents or papers.

Develop and evaluate AI/ML and Generative AI/LLM models from POC to production, perform data science and statistical analyses to support business decisions, document and assess model risk, publish patents/papers, collaborate with SMEs, and provide technical leadership while deploying solutions with modern Agile/DevOps and cloud practices.

Develop cross-platform mobile applications using React Native, integrating crypto wallets and DeFi features, and collaborating with backend developers and UI/UX designers to deliver secure and innovative solutions.

Lead the design and development of a Corporate Actions Processing Engine while transforming corporate processing capabilities and leading engineering teams in complex programs.

Lead and develop high-performing engineering teams, own end-to-end delivery of software, implement best practices, and collaborate across departments to build scalable and secure systems.

The Senior Vice President, Full-Stack Engineer will lead software engineering teams, ensuring delivery of high-quality, scalable systems, and promoting best practices in engineering excellence and talent development.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

As a Technical Account Manager, you will guide customers in integrating mathematical optimization technology, ensuring efficient utilization and maximizing business value, while conducting workshops and training sessions.

As a Senior Machine Learning Engineer, you will build an ML platform, apply data analysis, and enhance ad technologies, collaborating with cross-functional teams to optimize ad experiences.

As a Staff Quality Engineer, you will lead testing efforts, design quality frameworks, and mentor engineers to ensure high quality across development. You'll drive automation-first methodologies and foster a culture of quality in a hybrid work environment.

Lead technical pre-sales for DACH customers: qualify opportunities, design architectures, run demos and POCs, respond to RFPs, guide API integrations, mentor junior presales engineers, and drive the technical win while building customer trust.

Design, implement, and scale Elasticsearch cluster coordination, indexing, allocation, and replication. Diagnose performance and concurrency issues, push limits on shards/nodes/data scale, and lead cross-engineer projects while supporting support teams on complex distributed-system problems.

The Solutions Engineer will manage technical relationships with publishers, lead SDK integration, provide support, troubleshoot issues, and develop automation tools in a mobile advertising environment.

Design, develop, and maintain scalable backend services for embedded systems, ensuring integration with hardware and providing technical leadership.

Lead design and implementation of Spark and Livy-based features for large-scale distributed data processing. Contribute to Apache projects, develop in Java/Scala/Python, debug production clusters, improve infrastructure, and collaborate across distributed teams to deliver enterprise-grade data engineering capabilities.