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312 exact matches jobs are outside your preferred location
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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API & events fluent: Youre comfortable with cloud infrastructure and event-driven designs.
API & events fluent: Youre comfortable with cloud infrastructure and event-driven designs.
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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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).
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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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Understanding of API and backend services development in .Net
Understanding of API and backend services development in .Net
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.
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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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
Senior Machine Learning Operations Engineer
Senior Machine Learning Operations Engineer
FIRST CENTRAL SERVICES (UK) LIMITED
Haywards Heath, West Sussex
£65,000 - £75,000 a year
Understanding of microservices architecture, RESTful API design, development, and integration
Understanding of microservices architecture, RESTful API design, development, and integration
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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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The open-source @neo4j/graphql library and the managed GraphQL Data API in Aura, helping developers create full-stack applications using Neo4j * The Aura API and CLI, which enable users to manage their Aura resources programmatically and integrate Neo4j Aura into their workflows * An interest in API design/development
The open-source @neo4j/graphql library and the managed GraphQL Data API in Aura, helping developers create full-stack applications using Neo4j * The Aura API and CLI, which enable users to manage their Aura resources programmatically and integrate Neo4j Aura into their workflows * An interest in API design/development