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1 Contract API job in Cowdray Centre + 20 miles
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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
Have experience with accessing API's and handling their responses;
Have experience with accessing API's and handling their responses;
Platform Innovation : Oversee the full lifecycle of feature development, from ideation to deployment, leveraging modern tech stacks to enhance platform capabilities, such as real-time data processing and API integrations.
Platform Innovation : Oversee the full lifecycle of feature development, from ideation to deployment, leveraging modern tech stacks to enhance platform capabilities, such as real-time data processing and API integrations.
Experience with RPA/workflow tools and API integrations; comfort with vendor evaluation and contracting, balancing build vs. buy.
Experience with RPA/workflow tools and API integrations; comfort with vendor evaluation and contracting, balancing build vs. buy.
Experience working with engineering teams on web, mobile app, and backend/API projects.
Experience working with engineering teams on web, mobile app, and backend/API projects.
Experience working with engineering teams on web, mobile app, and backend/API projects.
Experience working with engineering teams on web, mobile app, and backend/API projects.
Experience in testing applications across different platforms (e.g., web, desktop, mobile, API).
Experience in testing applications across different platforms (e.g., web, desktop, mobile, API).
API Development: Experience building and deploying scalable and secure API services using a framework like FastAPI, Flask, or similar.
API Development: Experience building and deploying scalable and secure API services using a framework like FastAPI, Flask, or similar.
Strong understanding of UI, API, and integration testing approaches, with the ability to choose the right tools and techniques for the problem.
Strong understanding of UI, API, and integration testing approaches, with the ability to choose the right tools and techniques for the problem.
Perform hands-on implementation with the ServiceNow platform, leveraging all ServiceNow technologies and capabilities: Workflow Studio/ Flow Designer, JavaScript, REST/SOAP API integrations (incl. MID Servers), Single Sign-On and more
Perform hands-on implementation with the ServiceNow platform, leveraging all ServiceNow technologies and capabilities: Workflow Studio/ Flow Designer, JavaScript, REST/SOAP API integrations (incl. MID Servers), Single Sign-On and more
Identity verification and authentication flows (e.g. account security, MFA, API-based identity) * Experience across multiple product areas within a platform or API-based company
Identity verification and authentication flows (e.g. account security, MFA, API-based identity) * Experience across multiple product areas within a platform or API-based company
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Experience with spark (either pyspark or the scala API)
Experience with spark (either pyspark or the scala API)
Senior Product Manager
Senior Product Manager
LEXISNEXIS RISK SOLUTIONS UK LIMITED T/a LexisNexis Risk Solutions Group
London
Competitive
Working closely with engineering to define API requirements and document how customers and end users integrate with and benefit from API-first capabilities. * Familiarity with API-first product development.
Working closely with engineering to define API requirements and document how customers and end users integrate with and benefit from API-first capabilities. * Familiarity with API-first product development.
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).
Must have experience with .NET and C#, SDLC (Software Development Life Cycle), Database (SQL, Azure Data Store) and API/REST
Must have experience with .NET and C#, SDLC (Software Development Life Cycle), Database (SQL, Azure Data Store) and API/REST
Strong understanding of cloud native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM,ServiceNow, etc..), cybersecurity posture fundamentals, API ecosystems and legacy on-premise enterprise architectures
Strong understanding of cloud native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM,ServiceNow, etc..), cybersecurity posture fundamentals, API ecosystems and legacy on-premise enterprise architectures
Experience of .NET/C# with the Revit API.
Experience of .NET/C# with the Revit API.
As a Senior Implementation Engineer, you will lead enterprise customers through complex integrations with Yapilys API, combining strategic guidance with deep technical execution. You will collaborate closely with Customer Success, Product, and Engineering to drive successful delivery, resolve technical challenges, and ensure ongoing customer success - ultimately becoming a subject matter expert in the Yapily API and its enterprise capabilities. * Experience with API integration and implementation of SaaS solutions * Proven experience writing and maintaining code, with hands-on programming skills relevant to API integration * Collaborating in various additional projects such as maintaining our API documentation * Able to write, review, and debug code as part of end-to-end API integration * Familiarity with back-end development practices, API-driven architectures, and e
As a Senior Implementation Engineer, you will lead enterprise customers through complex integrations with Yapilys API, combining strategic guidance with deep technical execution. You will collaborate closely with Customer Success, Product, and Engineering to drive successful delivery, resolve technical challenges, and ensure ongoing customer success - ultimately becoming a subject matter expert in the Yapily API and its enterprise capabilities. * Experience with API integration and implementation of SaaS solutions * Proven experience writing and maintaining code, with hands-on programming skills relevant to API integration * Collaborating in various additional projects such as maintaining our API documentation * Able to write, review, and debug code as part of end-to-end API integration * Familiarity with back-end development practices, API-driven architectures, and e
Experience of .NET/C# with the Revit API.
Experience of .NET/C# with the Revit API.
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.
About the team - The Solutions Architecture team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customers industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Solutions Architect, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models. About the role - We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realise t
About the team - The Solutions Architecture team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customers industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Solutions Architect, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models. About the role - We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realise t
Our data platform is Azure cloud native, where we leverage services like Data Lake Storage Gen2, SQL Database, DataFactory, ContainerApps (with Docker), LogicApps, FunctionApps, WebApps with API Management and API Gateways, Log Analytics, KeyVault, and we code in SQL and Python. * Demonstrable knowledge and skills in the Azure Cloud Stack - Data Lake Storage, DataFactory, ContainerApps, LogicApps, FunctionApps, WebApps, API Management, API Gateways, Log Analytics, KeyVault and MS SQL Server related services.
Our data platform is Azure cloud native, where we leverage services like Data Lake Storage Gen2, SQL Database, DataFactory, ContainerApps (with Docker), LogicApps, FunctionApps, WebApps with API Management and API Gateways, Log Analytics, KeyVault, and we code in SQL and Python. * Demonstrable knowledge and skills in the Azure Cloud Stack - Data Lake Storage, DataFactory, ContainerApps, LogicApps, FunctionApps, WebApps, API Management, API Gateways, Log Analytics, KeyVault and MS SQL Server related services.
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You understand the patterns (e.g., webhooks, polling, message queues, event-driven architectures), the challenges of API versioning, and the principles of building a scalable, multi-tenant integrations platform. * Systems Thinking: Strong understanding of modern backend building blocks: API best practices; message queues (RabbitMQ, SNS/SQS or similar); relational data stores (PostgreSQL or similar); and cloud services (AWS or similar).
You understand the patterns (e.g., webhooks, polling, message queues, event-driven architectures), the challenges of API versioning, and the principles of building a scalable, multi-tenant integrations platform. * Systems Thinking: Strong understanding of modern backend building blocks: API best practices; message queues (RabbitMQ, SNS/SQS or similar); relational data stores (PostgreSQL or similar); and cloud services (AWS or similar).
Related Jobs
Locations
- The City, City (EC4)
- Drybridge Hill
- Southwark
- Hinxton
- The City, City (EC2)
- The City, City (EC3)
- Arundel Heights
- Bloomsbury
- Covent Garden
- Euston
- City of London
- Cambridge
- Central London
- West End
- South East London
- Woodbridge
- East London
- Stevenage
- Loughton
- North West London
- London
- Cambridgeshire
- Essex
- Suffolk
- Hertfordshire
- Norfolk
- South East
- East Anglia