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161 exact matches jobs are outside your preferred location
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6 Month Contract - Reading (Hybrid) £500-525/day (Outside IR35) Start ideally in Dec 2025 / Jan 2026. A chance to work with a global IT Consultancy on a ServiceNow design + integration project for an external client. Hybrid Working - 2 days/week working remotely (WFH) + 3 days/week working from the office in Reading. Paying up to £525/day (Outside IR35). * In-depth hands-on ServiceNow Architecture expertise including design, configuration + implementation. * Deep ServiceNow modules + workflows experience including: ITSM, ITOM, Discovery, ITAM, CSM, HRSD, SecOps, GRC). * Managing integrations between ServiceNow and other systems (via REST, SOAP APIs, IntegrationHub, MID Server, custom integrations), ensuring reliability, security, latency, error handling, monitoring. * Defining + implementing technical governance, architecture operating models, and instance strategy.
6 Month Contract - Reading (Hybrid) £500-525/day (Outside IR35) Start ideally in Dec 2025 / Jan 2026. A chance to work with a global IT Consultancy on a ServiceNow design + integration project for an external client. Hybrid Working - 2 days/week working remotely (WFH) + 3 days/week working from the office in Reading. Paying up to £525/day (Outside IR35). * In-depth hands-on ServiceNow Architecture expertise including design, configuration + implementation. * Deep ServiceNow modules + workflows experience including: ITSM, ITOM, Discovery, ITAM, CSM, HRSD, SecOps, GRC). * Managing integrations between ServiceNow and other systems (via REST, SOAP APIs, IntegrationHub, MID Server, custom integrations), ensuring reliability, security, latency, error handling, monitoring. * Defining + implementing technical governance, architecture operating models, and instance strategy.
We are seeking an experienced Front-end Engineer to help build and evolve a web-based platform for reinforcement learning (RL) training and RLOps. You will design, implement, and optimise user-facing interfaces and front-end systems that support large-scale RL model development and deployment. Responsibilities * Develop scalable, reliable front-end architecture for an RL training and management platform * Translate requirements into high-quality user interfaces and workflows * Collaborate with designers and engineers to implement visual design within brand guidelines * Ensure cross-browser and cross-device compatibility, resolving UI/UX issues * Optimise performance, including load times and runtime efficiency * Ensure accessibility compliance (e.g., WCAG) * Identify and resolve user-facing bugs and usability issues
We are seeking an experienced Front-end Engineer to help build and evolve a web-based platform for reinforcement learning (RL) training and RLOps. You will design, implement, and optimise user-facing interfaces and front-end systems that support large-scale RL model development and deployment. Responsibilities * Develop scalable, reliable front-end architecture for an RL training and management platform * Translate requirements into high-quality user interfaces and workflows * Collaborate with designers and engineers to implement visual design within brand guidelines * Ensure cross-browser and cross-device compatibility, resolving UI/UX issues * Optimise performance, including load times and runtime efficiency * Ensure accessibility compliance (e.g., WCAG) * Identify and resolve user-facing bugs and usability issues
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Senior Machine Learning Engineer - Salary: £70,000-£90,000 - Location: London (Hybrid) The Opportunity - We're looking for a Senior Machine Learning Engineer to help design, build, and deliver next-generation AI systems. You will work across LLMs, retrieval-augmented generation (RAG), and modern agent frameworks to transform large, unstructured data into meaningful insights and production-ready capabilities. This is a hands-on role within a growing AI team, offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities * Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. * Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. * Architect and deliver ML features such as pattern recognition, entity extr
Senior Machine Learning Engineer - Salary: £70,000-£90,000 - Location: London (Hybrid) The Opportunity - We're looking for a Senior Machine Learning Engineer to help design, build, and deliver next-generation AI systems. You will work across LLMs, retrieval-augmented generation (RAG), and modern agent frameworks to transform large, unstructured data into meaningful insights and production-ready capabilities. This is a hands-on role within a growing AI team, offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities * Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. * Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. * Architect and deliver ML features such as pattern recognition, entity extr
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The successful applicant will have comprehensive expertise in Microsoft Azure services, Web API, Azure App Service, .NET Core, and Visual Studio. * Design and implement scalable cloud solutions utilizing Azure App Service, Web API, and .NET Core. * Define architecture patterns for microservices, API management, and integration with enterprise systems. * Utilize Azure Functions, Azure Logic Apps, Azure API Management, and Azure Storage to develop robust applications. * Expertise in Microsoft Azure services, including App Service, Functions, API Management, Storage, and Networking. * Strong knowledge of .NET Core, Web API, C#, and Visual Studio.
The successful applicant will have comprehensive expertise in Microsoft Azure services, Web API, Azure App Service, .NET Core, and Visual Studio. * Design and implement scalable cloud solutions utilizing Azure App Service, Web API, and .NET Core. * Define architecture patterns for microservices, API management, and integration with enterprise systems. * Utilize Azure Functions, Azure Logic Apps, Azure API Management, and Azure Storage to develop robust applications. * Expertise in Microsoft Azure services, including App Service, Functions, API Management, Storage, and Networking. * Strong knowledge of .NET Core, Web API, C#, and Visual Studio.
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Senior Full Stack Engineer
Senior Full Stack Engineer
McGregor Boyall Associates Limited
City of London (EC1)
£80000 - £120000 per annum + bonus
Strong knowledge of system design principles, scalable architecture patterns, and API design.
Strong knowledge of system design principles, scalable architecture patterns, and API design.
Microservices architecture, API-first approach, containerisation (Docker/Kubernetes), CI/CD pipelines * Knowledge of integration patterns, API gateways, and cloud-native deployments
Microservices architecture, API-first approach, containerisation (Docker/Kubernetes), CI/CD pipelines * Knowledge of integration patterns, API gateways, and cloud-native deployments
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Data exchange and processing skills (e.g. ETL, ESB, API...)
Data exchange and processing skills (e.g. ETL, ESB, API...)
FEATURED
Design, develop, and deliver custom solutions within Planon's API framework.
Design, develop, and deliver custom solutions within Planon's API framework.
FEATURED
Design, develop, and deliver custom solutions within Planon's API framework.
Design, develop, and deliver custom solutions within Planon's API framework.
FEATURED
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Infrastructure: AWS (Aurora, Redis, DynamoDB, S3, SNS, SQS, CloudFront, API Gateway)
Infrastructure: AWS (Aurora, Redis, DynamoDB, S3, SNS, SQS, CloudFront, API Gateway)
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You consider things like API documentation, SDK functionality, and developer onboarding and can speak the language of a developer.
You consider things like API documentation, SDK functionality, and developer onboarding and can speak the language of a developer.
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Comfortable working with API-driven products or infrastructure and translating technical capability into customer value.
Comfortable working with API-driven products or infrastructure and translating technical capability into customer value.
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Understanding of secure architecture, API design, and performance optimisation.
Understanding of secure architecture, API design, and performance optimisation.
The ideal candidate will also have strong API integration skills and, preferably, experience with quoting and billing systems such as Zuora. * API Expertise: Design and implement integrations using REST and SOAP APIs. * Have a solid understanding of API integrations (REST/SOAP).
The ideal candidate will also have strong API integration skills and, preferably, experience with quoting and billing systems such as Zuora. * API Expertise: Design and implement integrations using REST and SOAP APIs. * Have a solid understanding of API integrations (REST/SOAP).
Define and document integration standards, including API strategies, event schemas, and interface contracts to enable decoupled, reusable services * Strong proficiency in API design (REST/GraphQL), microservices architecture, and middleware solution
Define and document integration standards, including API strategies, event schemas, and interface contracts to enable decoupled, reusable services * Strong proficiency in API design (REST/GraphQL), microservices architecture, and middleware solution
Background in developing with C#, .NET, Web Services, Web Forms, MVC, JavaScript, jQuery, CSS, HTML, React, Web APIs and Visual Studio, API integrations
Background in developing with C#, .NET, Web Services, Web Forms, MVC, JavaScript, jQuery, CSS, HTML, React, Web APIs and Visual Studio, API integrations
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API & events fluent: Youre comfortable with cloud infrastructure and event-driven designs.
API & events fluent: Youre comfortable with cloud infrastructure and event-driven designs.
Job title: Machine Learning Engineer - Tech Lead - Location: London, Bristol, Edinburgh - Salary: £72,000 - £85,250 - Reporting to: Head of Data Science & Products - Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today's challenges while accelerating the shift to a clean, electrified future. Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life. With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.
Job title: Machine Learning Engineer - Tech Lead - Location: London, Bristol, Edinburgh - Salary: £72,000 - £85,250 - Reporting to: Head of Data Science & Products - Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today's challenges while accelerating the shift to a clean, electrified future. Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life. With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.
Delivering security automation (scripting, API integration and via the Power Platform) * Experience of using and configuring API integrations
Delivering security automation (scripting, API integration and via the Power Platform) * Experience of using and configuring API integrations
Python, API frameworks (Flask, FastAPI), package managers (poetry, uv)
Python, API frameworks (Flask, FastAPI), package managers (poetry, uv)
The ideal candidate has prior experience solving complex forms of scaled abuse, building sophisticated protections across multiple parts of OpenAIs product suite (ChatGPT, API, Sora).
The ideal candidate has prior experience solving complex forms of scaled abuse, building sophisticated protections across multiple parts of OpenAIs product suite (ChatGPT, API, Sora).
This role is part of our Digital Platform Services team, who are responsible for delivering central services to the divisions in an API first way by utilising AI and new ways of working.
This role is part of our Digital Platform Services team, who are responsible for delivering central services to the divisions in an API first way by utilising AI and new ways of working.
Understanding of API and backend services development in .Net
Understanding of API and backend services development in .Net
Creating and Maintaining Documentation: Develop high-quality product documentation, including user guides, API references, release notes, FAQs, and onboarding materials using both traditional methods as well as utilising modern AI tooling.
Creating and Maintaining Documentation: Develop high-quality product documentation, including user guides, API references, release notes, FAQs, and onboarding materials using both traditional methods as well as utilising modern AI tooling.
Full-Stack Feature Delivery: Design and build high-quality features covering both Front-end and Back-end, including robust API integration and effective data management (database interactions).
Full-Stack Feature Delivery: Design and build high-quality features covering both Front-end and Back-end, including robust API integration and effective data management (database interactions).