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120 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.
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Urgent 12-month Hybrid AI/Machine Learning (ML) engineer role paying £400 a day inside IR35 in central London with 2-3 days in the office a week. Start before Christmas, I need to send candidates today for this to be possible. Interviews next week apply asap/Today - Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data solutions using Hadoop, Spark, PySpark, and Data Lake architectures. Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs.
Urgent 12-month Hybrid AI/Machine Learning (ML) engineer role paying £400 a day inside IR35 in central London with 2-3 days in the office a week. Start before Christmas, I need to send candidates today for this to be possible. Interviews next week apply asap/Today - Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data solutions using Hadoop, Spark, PySpark, and Data Lake architectures. Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs.
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Skilled in API development and microservices architecture
Skilled in API development and microservices architecture
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
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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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Role Principal Consultant - Technology Data Architect, Oracle HCM Cloud, Oracle EBS - Location Leeds - Business Unit ORC - Compensation Competitive (including bonus) Job Description - Lead the design and execution of data strategy and large-scale HR data migrations to Oracle HCM Cloud and Microsoft Azure, ensuring security, performance, and compliance. Your role - As a Senior Data Architect, you will lead the definition of data strategy and design robust, scalable solutions to support large-scale migration initiatives to Oracle HCM Cloud and Microsoft Azure Fabric. You will architect and implement frameworks that ensure secure, high-performance data flows across complex ecosystems, leveraging modern cloud technologies to deliver efficient and compliant solutions. In this role, you will drive the end-to-end execution of data migration for high-volume HR datasetsincludi
Role Principal Consultant - Technology Data Architect, Oracle HCM Cloud, Oracle EBS - Location Leeds - Business Unit ORC - Compensation Competitive (including bonus) Job Description - Lead the design and execution of data strategy and large-scale HR data migrations to Oracle HCM Cloud and Microsoft Azure, ensuring security, performance, and compliance. Your role - As a Senior Data Architect, you will lead the definition of data strategy and design robust, scalable solutions to support large-scale migration initiatives to Oracle HCM Cloud and Microsoft Azure Fabric. You will architect and implement frameworks that ensure secure, high-performance data flows across complex ecosystems, leveraging modern cloud technologies to deliver efficient and compliant solutions. In this role, you will drive the end-to-end execution of data migration for high-volume HR datasetsincludi
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Experience with cloud integration services such as Azure API Management, Service Bus, Event Grid, and Functions.
Experience with cloud integration services such as Azure API Management, Service Bus, Event Grid, and Functions.
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Optimise page load speed, rendering performance, and API response times. * Familiarity with RESTful API design and backend performance considerations.
Optimise page load speed, rendering performance, and API response times. * Familiarity with RESTful API design and backend performance considerations.
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Experience with cloud-based data storage solutions and building efficient API routes in Node.js.
Experience with cloud-based data storage solutions and building efficient API routes in Node.js.
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Familiarity with the WebGL API and rendering pipelines is a plus. * Strong knowledge of the HTML5 Canvas API.
Familiarity with the WebGL API and rendering pipelines is a plus. * Strong knowledge of the HTML5 Canvas API.
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Familiarity with the WebGL API and rendering pipelines is a plus. * Strong knowledge of the HTML5 Canvas API.
Familiarity with the WebGL API and rendering pipelines is a plus. * Strong knowledge of the HTML5 Canvas API.
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Experience delivering cloud-based REST API solutions
Experience delivering cloud-based REST API solutions
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You will be able to understand and reason about a complex distributed system with a comprehensive data processing API, the ability to process a wide range of complex input data types, and the capability to query that data with a SQL-like query engine.
You will be able to understand and reason about a complex distributed system with a comprehensive data processing API, the ability to process a wide range of complex input data types, and the capability to query that data with a SQL-like query engine.
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Strong understanding of API design
Strong understanding of API design
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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.
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Strong analytical thinking, communication skills, and experience with API-driven or extensible products are essential. * 5+ years as a Product Owner, Technical Product Manager, or similar role in SaaS, platform, API/SDK, or developer-focused products. * Deep knowledge of API-driven development and integration models. * Understanding of versioning, CI/CD pipelines, and open-API ecosystems.
Strong analytical thinking, communication skills, and experience with API-driven or extensible products are essential. * 5+ years as a Product Owner, Technical Product Manager, or similar role in SaaS, platform, API/SDK, or developer-focused products. * Deep knowledge of API-driven development and integration models. * Understanding of versioning, CI/CD pipelines, and open-API ecosystems.
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Implementation of Salesforce Flows to a high standard (e.g. screen flows, triggered flows, API flows)
Implementation of Salesforce Flows to a high standard (e.g. screen flows, triggered flows, API flows)
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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
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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).
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Help drive decisions on API design, synchronous vs. asynchronous processing, consistency models, and service boundaries for the broader platform. * AWS Cloud Expertise: Deep architectural knowledge of the AWS ecosystem, such as Lambda, API Gateway, S3, DynamoDB, IAM, and container orchestration (EKS/ECS).
Help drive decisions on API design, synchronous vs. asynchronous processing, consistency models, and service boundaries for the broader platform. * AWS Cloud Expertise: Deep architectural knowledge of the AWS ecosystem, such as Lambda, API Gateway, S3, DynamoDB, IAM, and container orchestration (EKS/ECS).
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.
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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.
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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).
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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
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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).
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