376 to 400 of 809 Cloud Native Jobs in the UK

and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent More ❯

and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent More ❯

and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent More ❯

and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent More ❯

and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent More ❯

and enhance performance of tools and services Collaborate across technical teams to build end-to-end data pipelines Essential Skills Proven experience in Python backend development (e.g. FastAPI) Strong cloud-native development skills, ideally with Google Cloud Familiarity with DevOps practices, automated testing (e.g. pytest), and agile methodologies Passion for healthcare innovation and continuous learning Bonus: Background More ❯

and enhance performance of tools and services Collaborate across technical teams to build end-to-end data pipelines Essential Skills Proven experience in Python backend development (e.g. FastAPI) Strong cloud-native development skills, ideally with Google Cloud Familiarity with DevOps practices, automated testing (e.g. pytest), and agile methodologies Passion for healthcare innovation and continuous learning Bonus: Background More ❯

to obtain data insights. ● You will gather requirements, model and design solutions to support product analytics, business analytics and advance data science ● Design efficient and scalable data pipelines using cloud-native and open source technologies ● Develop and improve ETL/ELT processes to ingest data from diverse sources. ● You will work with analysts, understand requirements, develop technical specifications … industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing ● Experience with at least … languages like Python, C++[2] , Java ● Experience with version control and code review tools such as Git ● Knowledge of latest data pipeline orchestration tools such as Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo More ❯

management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital … to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO · Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions. · Build … reusable IaC modules in terraform for network, compute, and managed PaaS services. · Integrate Azure-native logging, security, and cost optimization with observability pipelines. · Lead incident resolution and proactive failure domain analysis within Azure-hosted regions. · Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities. · Collaborate with Compliance and Security to meet UK, EU More ❯

to build continuous integration pipelines, which help monitor and ensure software quality and security Deploying software systems to a mixture of environments, including public (AWS and Azure) and private cloud Full Software Lifecycle involvement: project concept formalisation; requirements analysis and specification; architecture design; implementation and delivery; training and support and software lifecycle and maintenance Skills & Experience Required: Proven experience … EC2, RDS, DynamoDB). Familiarity with modern development practices, including Agile methodologies, CI/CD pipelines, and microservices architecture. Solid understanding of RESTful APIs, database management (SQL & NoSQL), and cloud-native development. Strong problem-solving skills and the ability to work independently as well as in a team. Excellent communication skills and the ability to work collaboratively with More ❯

team focused on building and enhancing critical services and user-facing features. This is a hands-on engineering role with a strong emphasis on architecture, scalable systems, and modern cloud-native technologies. Key Responsibilities: Design, develop, and maintain scalable microservices using Java and Spring Boot Build and integrate event-driven systems with Kafka Contribute to frontend development using … a consulting approach to stakeholder engagement and delivery About You Ideal Candidate: 5+ years of software engineering experience Strong background in Java and microservices architecture Experience with Kafka and cloud platforms (preferably AWS) Proficient in modern frontend frameworks (Angular and/or React) Previous experience in a consultancy or client-facing delivery role Excellent communication and problem-solving skills More ❯

per week most weeks. Gemba Advantage is a collection of extraordinary individuals who are committed to delivering the best value to our customers. We design and build user centric, cloud native products and services that are secure, scalable and sustainable. Operating predominantly within the public sector, we focus our efforts on improving the working lives of organisations doing … TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, such as infrastructure as code and GitOps Database technologies, e.g. relational databases, Elasticsearch, Mongo Why join Gemba? Gemba More ❯

and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platforms CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage. Lead initiatives that drive testability, platform … Jenkins, or similar tools. Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch). Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. More ❯

a driven Lead Engineer who thrives in ambitious environments and wants to make a tangible impact. As a Lead Backend Engineer, you'll take ownership of designing and scaling cloud-native backend systems. You'll work primarily with Python (FastAPI) and play a key role in shaping the architecture of microservices that support millions of users. Beyond hands … scaling Python-based systems (FastAPI, Flask, or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB More ❯

Responsibilities for the Senior Data Engineer: Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standards Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights Lead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps … to explain complex technical concepts clearly and persuasively Desirable Skills for the Senior Data Engineer: Experience with event sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model enablement and operationalisation within data architectures Experience working More ❯

to a platform where AI is deeply integrated into the user experience and engineering workflows. This role offers the opportunity to deepen your technical skills, expand your experience with cloud-native and AI-integrated systems, and collaborate closely with experienced engineers, designers, and product managers. You'll take ownership of meaningful components, help shape development standards, and support … with cutting-edge tools and development practices. Strong proficiency in modern full stack development, particularly with React, TypeScript, Node.js, Next.js, and database technologies such as PostgreSQL. Experience working with cloud infrastructure, preferably with Azure or Vercel. Solid understanding of software engineering principles, web architecture, and performance optimisation. Familiarity with integrating and consuming AI models via APIs. Experience building and More ❯

familiar with Go , with a strong enthusiasm for learning and applying new technologies beyond the Java ecosystem -Comfortable working in modern engineering environments , including Agile methodologies, DevOps practices , and cloud-native architectures using platforms like AWS -Actively contributes ideas around emerging technologies , solution design , and delivery improvements , helping shape the team’s technical direction -Enjoys a collaborative team More ❯

familiar with Go , with a strong enthusiasm for learning and applying new technologies beyond the Java ecosystem -Comfortable working in modern engineering environments , including Agile methodologies, DevOps practices , and cloud-native architectures using platforms like AWS -Actively contributes ideas around emerging technologies , solution design , and delivery improvements , helping shape the team’s technical direction -Enjoys a collaborative team More ❯

familiar with Go , with a strong enthusiasm for learning and applying new technologies beyond the Java ecosystem -Comfortable working in modern engineering environments , including Agile methodologies, DevOps practices , and cloud-native architectures using platforms like AWS -Actively contributes ideas around emerging technologies , solution design , and delivery improvements , helping shape the team’s technical direction -Enjoys a collaborative team More ❯

familiar with Go , with a strong enthusiasm for learning and applying new technologies beyond the Java ecosystem -Comfortable working in modern engineering environments , including Agile methodologies, DevOps practices , and cloud-native architectures using platforms like AWS -Actively contributes ideas around emerging technologies , solution design , and delivery improvements , helping shape the team’s technical direction -Enjoys a collaborative team More ❯

familiar with Go , with a strong enthusiasm for learning and applying new technologies beyond the Java ecosystem -Comfortable working in modern engineering environments , including Agile methodologies, DevOps practices , and cloud-native architectures using platforms like AWS -Actively contributes ideas around emerging technologies , solution design , and delivery improvements , helping shape the team’s technical direction -Enjoys a collaborative team More ❯

that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana Our Interview process Interviewing is a two way More ❯

traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products … cloud. Basic Qualifications Strong experience in building large scale machine learning or deep learning models and in Generative AI model development Experience in data and machine learning engineering and cloud native technologies Strong experience communicating across technical and non-technical audiences Strong experience facilitating discussions with senior leadership regarding technical/architectural trade-offs, best practices, and risk More ❯

ownership, shape the data foundations, and help power the next generation of AI-driven solutions. This is a hands-on, high-impact role where you'll design and build cloud-native data pipelines, champion best practices and automation, and help the engineering team scale with confidence. You'll also have the opportunity to mentor others and shape the … platform as it evolves, pushing the boundaries of what's possible with data and AI. What You'll Do · Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). · Lead CI/CD automation, environment versioning, and production deployments for data products. · Integrate AI and ML outputs into scalable … culture of excellence, innovation, and clean data design. Experience Required You're a builder, a problem-solver, and a collaborator. You're passionate about using modern data tools and cloud platforms to turn data into something powerful. You'll bring: ·3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) ·Strong More ❯

Platform Engineering. Our client is a leading industrial-software business that delivers engineering, operations, and asset-performance solutions used by major operators worldwide. They combine domain expertise with a cloud-first platform strategy and work with strategic cloud providers to deliver scalable, secure AI services for complex industrial environments. The role You will define and deliver the organisation … non-functional attributes: security, reliability, availability, compliance, and global scale. Lower barriers to integration - deliver an excellent developer experience (APIs, SDKs, documentation, sample apps). Collaborate closely with product, cloud, and partner teams to industrialise AI capabilities. Recruit, inspire, and lead a high-performing global engineering team with a pragmatic, product-led, start-up mindset. Core skills & qualifications 20+ … years in software product development, with 10+ years in senior engineering leadership roles, driving cloud-native platforms or AI services. Proven track record building distributed, secure, and scalable cloud/AI services (experience with major cloud providers preferred). Solid background in AI/ML technologies, ideally with experience integrating LLMs or advanced AI models into More ❯