The analyst will monitor and develop loan servicing strategies and business policies to optimize high-volume decision-making. They will also perform data analysis to drive business decisions and measure the performance of champion/challenger tests.
Remote Software Development Jobs in United Kingdom (2,979)
Remote in = United Kingdom
Job category = Software Development
Develop and design sophisticated power monitoring and control solutions using IoT hardware, software, and services. Consult with customers and stakeholders to influence electrical distribution system designs and drive sales.
The Senior Software Engineer is responsible for designing and enhancing base Cority software while collaborating with Product Development to meet client needs. They will lead technical teams, drive architectural decisions, and mentor junior developers to ensure high-quality, production-ready code.
Lead technical discovery and solution design in early customer conversations while evaluating architectural feasibility and tradeoffs. Prototype, build, and debug technical solutions to turn early approaches into scalable, reliable implementations.
Design and build fast, reliable, and scalable services for Node API and Web3 data access. Implement customer management, billing systems, and drive strategic integrations with blockchain networks.
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You will develop and maintain features for a full-stack data self-service application using React and Python. Additionally, you will collaborate with senior engineers to modernize data ingestion, monitoring, and observability processes.
You will join the Infrastructure Engineering Team to maintain and scale the core platform infrastructure. This involves building reliable, secure, and scalable systems while optimizing CI/CD pipelines and Kubernetes performance.
You will act as a technical advisor to design and validate observability solutions while bridging the gap between product capabilities and customer outcomes. This involves delivering Proofs of Concept, guiding architecture discussions, and collaborating with sales and product teams to drive technical value.
You will develop reliable and resilient software while working closely with data scientists, data engineers, and product managers. Your role involves building internal tools and microservices to support a high-volume fraud technology platform.
Design and build reliability-focused frameworks, tooling, and standards to improve platform uptime and operational confidence. Partner with engineering teams to embed reliability into system design, development practices, and deployment workflows.
Application Engineer (Senior Staff/Principal)
Analogue Insight
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Full Time
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Yesterday
Analogue Insight
The Application Engineer will lead the characterization, validation, and customer enablement of high-speed SerDes and TIA products. This includes architecting test benches, driving silicon bring-up, and providing technical support for customer integration.
Design, develop, and automate security controls for cloud infrastructure across AWS and GCP while maintaining security tooling. Lead end-to-end security projects, conduct architecture reviews, and collaborate with engineering teams to embed security standards into workflows.
You will define and implement quality practices, test strategies, and release processes for the Chatbot product. You will collaborate with engineers to establish output-evaluation frameworks and validate non-deterministic LLM-based systems.
You will act as a technical advisor to customers, designing and validating observability solutions using OpenTelemetry and Kubernetes. You will also collaborate with sales and product teams to deliver high-impact Proofs of Concept and influence the product roadmap.
The Senior Manager will apply advanced analytics and statistical methods to strengthen quality oversight of clinical development, patient safety, and regulated research. They will develop and maintain analytical tools and dashboards to identify emerging risks and support evidence-based decision-making across the R&D portfolio.
You will design and scale consumer-facing systems for the Vortex desktop mod manager, ensuring robust performance and compatibility across various hardware. You will also collaborate with engineering teams to maintain the extension API and drive best practices in security, accessibility, and code quality.
You will design and maintain reliable data pipelines, internal tools, and APIs to support analytics and machine learning applications. You will collaborate with product and engineering teams to ensure data infrastructure is efficient, scalable, and maintainable.
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You will own the end-to-end internal developer platform, including CI/CD pipelines and deployment workflows. Additionally, you will build and maintain the human-AI development loop to improve developer productivity and operational reliability.
The Azure Cloud Engineer will deploy and manage Azure Cloud VMware Solution environments while implementing scalable cloud infrastructure. They are responsible for enforcing governance, monitoring system performance, and maintaining hybrid infrastructure integrations.
Field Service Engineer - Electron Microscopy
Thermo Fisher Scientific
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Full Time
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Yesterday
Thermo Fisher Scientific
The Field Service Engineer will perform on-site installation, preventive maintenance, and repairs on electron microscopy systems. They are also responsible for providing technical support to customers and ensuring effective operation of the instrumentation.
You will identify and cultivate strategic relationships across the AI ecosystem to drive the adoption of NVIDIA's Vision AI and VLM capabilities. Additionally, you will provide technical leadership to partners and developers while guiding go-to-market strategies for intelligent environments.
The AI and Automation Executive will identify opportunities to improve business processes through AI and lead the implementation of practical, measurable solutions. They will also act as an internal subject-matter expert, supporting colleagues in the responsible and confident adoption of new AI technologies.
The Sales Engineer will deliver technical product demonstrations to potential customers and provide expert guidance on enhancing their security posture. They will also collaborate with internal teams to voice customer needs and identify opportunities for platform improvement.
The Staff AI/ML Solutions Engineer serves as the single point of contact for assigned domains, owning the end-to-end product lifecycle from problem framing to delivery and continuous improvement. They lead discovery, define product roadmaps, and make defensible build-versus-buy decisions while partnering with cross-functional teams to drive measurable business value.
Senior/Strategic Digital Analytics Consultant - UK
Quantum Metric
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Full Time
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Yesterday
Quantum Metric
Serve as a strategic advisor for high-impact enterprise accounts to drive digital strategy and business outcomes. Leverage AI to automate analytical workflows and mentor the consulting team to scale best practices.
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Software Engineers own the full lifecycle of software delivery, including designing, building, testing, deploying, and maintaining services in production. They collaborate with product teams to deliver scalable, high-quality code while actively participating in Agile ceremonies.
You will build and maintain cloud-native applications while designing and managing data architectures using Microsoft Fabric and Medallion patterns. Additionally, you will provide site reliability support, automate infrastructure, and integrate AI/LLM solutions to enhance data self-service capabilities.
The role involves analyzing and enhancing AI-generated technical content while creating and evaluating prompts to guide AI model performance. Experts will also conduct rubric-based assessments and draft technical documentation to support the training of advanced AI systems.
Collaborate with game developers to optimize the performance, quality, and reliability of game titles on Intel hardware. Act as a technical liaison to integrate features, resolve complex issues, and represent developer needs to internal engineering teams.
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