7 of 7 API Development Jobs in the East Midlands

varied, challenging role where youll be responsible for designing and developing scalable backend systems to support high-traffic services Essential: At least 5yrs backend development using Node.js RESTful API development Experience with Machine Learning (e.g. TensorFlow, PyTorch or similar) Knowledge of AWS, Docker & Kubernetes for scalable deployments More ❯

resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We offer: Regular and frequent promotion and progression opportunities to ensure you can … clients demand today. You'll work with clients, co-creating solutions to major real-world challenges by translating system requirements into the design and development of customized systems in an agile environment. In your role you may be responsible for: Use IBM's Design Thinking to create products that … Documentation: Create comprehensive technical documentation for APIs architecture and deployment processes. Required education: None Preferred education: Bachelor's Degree Required technical and professional expertise API Development: Design develop and maintain robust scalable APIs using modern frameworks and technologies. Azure Logic Apps: Configure and integrate Azure Logic Apps to More ❯

deliver scalable, high-quality solutions that align with business needs. Required Skills & Experience 4-8 years of experience in Microsoft Power Platform & Dynamics 365 development . Expertise in Dynamics 365 Configuration (Sales, Customer Service, Field Service, Customer Insights). Strong understanding of Dataverse and database methodologies. Experience developing Power … Pages or other portal technologies. Knowledge of API development and microservices architectures. Proficiency in Dynamics 365 Business Central is desirable. Ability to build custom interfaces within Dynamics 365. Understanding of CI/CD pipelines for deployment. Strong problem-solving, analytical, and debugging skills. Excellent communication skills with experience More ❯

Role: Java API Developer Location: Northampton-hybrid 2- 3 days a week Duration: Until the end of 2025 Contract inside IR35 on umbrella Rate- 313GBP/day "Key Responsibilities: Design, develop, and maintain robust and scalable Java-based applications. Collaborate with cross-functional teams to define, design, and ship … Advanced Java: Hands-on experience with Spring Boot and Spring Framework. JPA Framework: Proficiency in connecting to databases using JPA in Spring Boot. REST API: Experience in developing and consuming RESTful APIs. HTTP Status Codes: Understanding of HTTP status codes and request validations via OAS and RAML. SSL Context … Knowledge of SSL context while communicating over HTTPS. API Consumption: Ability to consume API endpoints effectively. PL/SQL Oracle DB: Experience with PL/SQL and Oracle databases. Java Design Patterns: Familiarity with common Java design patterns. Spring State Machine and Spring Batch: Knowledge of Spring State More ❯

may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We offer: A multitude of training opportunities from classroom to e-learning, mentoring … MuleSoft APIs the business requires. This role will require knowledge of MuleSoft's Anypoint Studio and Anypoint Platform, which includes Design Center, Runtime Manager, API Manager, Exchange, etc. He/She must be capable of understanding business requirements, working with stakeholders and implementing complex integrations. Designing and developing integration … space. Participate in code reviews and ensure adherence to best practices and coding standards. Analyse and design the system requirements. Create RAML Specifications as API contracts for development. Understand and implement Dataweave scripts. Communicate with the Project Client and Onshore counterpart. Deploy APIs to Cloudhub, Runtime Fabric, on-prem More ❯

passionate about building scalable, resilient, and high-performance distributed systems. As the Lead Software Engineer, you will play a pivotal role in the design, development, and deployment of microservices architectures running on Kubernetes, driving both the technical vision and execution of our platform's architecture. Key Responsibilities : Microservices Architecture … engineering teams to deliver robust, production-ready solutions that meet business goals. DevOps & CI/CD : Own and lead efforts in automation of the development lifecycle, ensuring efficient deployment processes and effective use of CI/CD pipelines in a Kubernetes environment. Troubleshooting & Debugging : Lead efforts in identifying, diagnosing … managing containerized applications. Programming Skills : Strong coding experience in languages such as C#, Go with an emphasis on writing clean, maintainable, and efficient code. API Design & Development : Solid understanding of RESTful APIs, gRPC, and asynchronous messaging (Kafka, RabbitMQ, etc.). CI/CD & DevOps : Strong experience with CI More ❯

augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include … Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT … MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate More ❯