The Principal Solutions Engineer will collaborate with cross-functional teams including CTO, Product Management, and Sales to ensure technical alignment and value delivery. They will also provide expert technical support during the POC process and contribute field insights to improve product messaging and strategy.
Remote Software Development Jobs in United Kingdom (2,349)
Remote in = United Kingdom
Job category = Software Development
Lead the research and development of machine learning models, specifically focusing on synthetic data generation and text generation. Collaborate with engineering and product teams to integrate these AI solutions into the Cint Exchange platform.
Principal Experience Engineer
Precisely International Jobs
·
Full Time
·
5 Weeks Ago
Precisely International Jobs
Define, build, and own the agentic SDLC system to streamline engineering workflows and AI integration. Partner with cross-functional architects to guide implementation, unblock delivery, and maintain high standards of quality and craft.
Design and implement AI-powered features such as automation and copilots by integrating LLMs and machine learning models into existing services. Collaborate with product teams to translate business requirements into scalable, reliable, and cost-efficient AI-driven solutions.
The Technical Sales Engineer will drive sales growth by identifying new opportunities, building client relationships, and providing accurate technical solutions. They are responsible for conducting site visits, managing the full sales cycle, and reporting on progress against targets.
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You will own computer vision products throughout their entire lifecycle, from research and development to deployment and iterative improvement. Additionally, you will optimize real-time C++ applications and maintain system reliability in a cloud-based micro-service environment.
Lead and perform the overhaul, maintenance, and fault diagnosis of reciprocating generator sets across regional sites. Supervise operations staff and technicians while ensuring compliance with health, safety, and environmental regulations.
The role involves providing expert-level 3rd line technical support within a Managed Services Operations Centre and leading complex incident escalations. You will also contribute to operational improvements, mentor junior engineers, and collaborate with teams to deliver effective infrastructure solutions.
Develop, maintain, and optimize scalable Spring Boot applications while implementing clean, modular, and testable Java code. Collaborate with DevOps teams to improve CI/CD automation and troubleshoot backend performance and security.
The Solutions Engineer will act as the technical expert during the sales process, leading technical workshops, demos, and RFP responses. They will also serve as the primary interface between internal teams and customers to ensure successful service implementation and delivery.
Serve as a subject-matter expert for emerging solutions and act as a trusted advisor to drive incremental revenue through team selling. Conduct product demonstrations and provide market feedback to R&D teams to inform the product development roadmap.
The QA Engineer will be responsible for planning and executing quality assurance assessments for web and mobile applications throughout the software development cycle. They will also report defects, prepare regression reports, and collaborate with the team to implement improvement strategies.
You will design, standardize, and operate cloud platforms that support AI-driven products and services. This involves building reusable infrastructure patterns and embedding SRE principles to ensure reliability, security, and cost efficiency.
You will design and deploy data-driven machine learning models to prevent fraud and mitigate risk across various fintech use cases. Additionally, you will collaborate with engineering teams to scale these solutions into production while working directly with clients to address their unique security challenges.
You will design and deliver high-impact features while collaborating with product, design, and engineering teams to build scalable solutions. You will take ownership of projects from concept to production and contribute to architectural decisions to ensure system maintainability.
Create high-quality, actionable research content on analytics and AI while providing expert advice to clients through various interactions. Act as an industry thought leader by predicting market trends, mentoring team members, and supporting sales efforts.
The Solution Architect will drive the adoption of NVIDIA technology in telecommunications by developing high-value solutions and supporting technical trials. They will lead complex project deployments and communicate advancements through whitepapers, training sessions, and technical documentation.
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Collaborate with AI labs to design domain-specific problems and datasets for evaluating generative AI models. Contribute to technical reports and research papers to advance frontier AI research.
You will support the application security program by assessing web technologies and coordinating remediation efforts with engineering teams. Additionally, you will perform security assessments, threat modeling, and develop automation tools to streamline security tasks.
The Information Security Engineer will support the application security program by assessing web technologies and coordinating remediation efforts with engineering teams. They will also perform security assessments, threat modeling, and develop automation scripts to enhance incident detection and patch management.
Act as a trusted technical advisor to advertisers by simplifying complex technical concepts and driving successful deals in partnership with the sales team. Lead discovery efforts, analyze performance data, and collaborate with engineering to ensure seamless execution of platform integrations.
Senior ServiceNow Technical Consultant - SecOps (SIR/VR) - UK Based
Wrangu
·
Full Time
·
5 Weeks Ago
Wrangu
Lead the technical delivery of Security Incident Response and Vulnerability Response implementations for global clients. Act as a trusted advisor while mentoring junior consultants and ensuring high-quality, scalable platform configurations.
Develop and execute a regional sales strategy to drive revenue growth and expand the customer base within the industrial process control sector. Manage key accounts and collaborate with internal engineering teams to deliver tailored technical and commercial solutions.
You will operate and maintain customer infrastructure while identifying opportunities to improve resiliency and automate repetitive tasks. Additionally, you will act as a technology leader and mentor, providing root cause analysis and driving technology road maps for clients.
You will architect, implement, and refine cutting-edge multiplayer gameplay systems while collaborating with cross-functional teams to deliver robust networked experiences. Your role involves optimizing performance and resolving intricate technical hurdles within the Unreal Engine environment.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
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You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. Additionally, you will analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. You will also analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will lead the technical direction for AI projects, including scoping problems, building training infrastructure, and shipping production-grade models. You are responsible for the end-to-end lifecycle of AI systems, from data curation and model selection to monitoring and debugging in production.
You will lead the technical direction for AI projects, including scoping problems, choosing modeling approaches, and building training infrastructure. You are responsible for shipping production-ready AI systems, including agentic pipelines and inference services, while mentoring junior scientists.
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