4,226 to 4,250 of 6,354 Jobs in England

backend development using technologies such as React, Node/TypeScript, Python/FastAPI, or similar. Conceptual understanding of cloud platforms such as AWS, Azure, or GCP; hands‐off deployment experience is beneficial but not required. Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector ...

under pressure. Desirable Experience Experience in PCI DSS and/or FCA‐regulated environments. Familiarity with tools such as GitLab CI/CD, Azure DevOps, and Jenkins. Strong data and reporting capability, including dashboards and KPI packs. Background exposure to Platform, Infrastructure, Cloud, or Network Engineering. Why Edenred ...

commonalities and drive re‐use of models and code across different parts of the organisation Understanding how to build data science capabilities on Azure and Databricks. We are fully committed to having a diverse and inclusive working environment, and are open to considering how the role might ...

commonalities and drive re‐use of models and code across different parts of the organisation Understanding how to build data science capabilities on Azure and Databricks. We are fully committed to having a diverse and inclusive working environment, and are open to considering how the role might ...

OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases ...

quick-to-learn, and broad technical skills. Experience designing, building and launching full-stack workflows, and automations, leveraging REST APIs, iPaaS automation (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or generic scripting (e.g., Python, JavaScript, Golang, etc.). Proven ability to determine methods and procedures ...

lasting impact on system capabilities Established technical patterns that were adopted across the team Proficiency with at least one major cloud platform (preferably Azure) Experience with containerization (Docker) and orchestration (Kubernetes) Understanding of infrastructure as code and CI/CD pipeline design Knowledge of observability: logging, metrics, tracing ...

live. Tech Stack Proficiency: Proficient in at least one modern language (e.g., Python, TypeScript, Java, Go) and comfortable working within cloud environments (AWS, Azure, or GCP). Pragmatic Mindset: You understand the balance between elegant code and delivering real value to users in a fast-moving startup environment. ...

individual contributor and write and review code every week. OUR TECH STACK: Go, TypeScript, Node.js, Python, FastAPI, frontier LLMs, MCP, Azure, Kubernetes, Docker, Terraform, MongoDB, Redis, Kafka/NATS You will not use all of these, and most engagements add something new. Who you are: 8+ years ...

global organisation, navigating regional variation in user needs and ways of working. • Familiarity with delivery and documentation tooling such as Jira, Azure DevOps or Confluence. A note on career track. This role sits on the builder path within the product community: strong performers can progress to Staff ...

Mosaic AI, vector search, and how ML and GenAI workloads land on the platform Strong on at least one major cloud, ideally Azure, and how Databricks deploys and integrates within it: networking, identity, storage, private connectivity Hold or are on the path to Databricks Certified Data Engineer Professional ...

skills, including clear updates, executive summaries and effective escalation. Desirable ITIL v3/v4 certification or demonstrable equivalent experience. Cloud certification(s), e.g. Azure or AWS. Operational security/governance exposure, e.g. ISO27001‐aligned controls. Experience operating in a global, multi‐region and multi‐vendor environment. What will ...

management using platforms such as MLflow, Vertex AI, or SageMakerCloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector storesProgramming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with ...

with a client CISO.You are equally comfortable moving between architecture, code, incidents, client conversations and commercial considerations. Our estate, for contextAWS and Azure · Kubernetes and EKS · Terraform · Helm · GitOps · CI/CD · Elasticsearch · Kafka · PostgreSQL · ClickHouse · Python services · observability and Prometheus · multi-fleet, multi-cell client environment architecture ...

risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering ...

risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering ...

understand the mathematical concepts underlying machine learning methods Proficiency in automation, system monitoring, and cloud‐native applications, with familiarity in AWS or Azure (or a related cloud platform) Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition ...

risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering ...

Amentum is a global leader in engineering, project and programme management, and solutions integration. Built on strong programme and engineering delivery experience, supported by deep specialist capabilities, Amentum is a recognised partner across major UK ...

About Smart Working At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where ...

Thehumanoid is hiring a Senior Dev/MLOps Engineer to join their Data & Compute Platform team in London. This role involves managing the lifecycle of ML models and infrastructure, building CI/CD pipelines, ensuring ...

Job title: ML Systems Engineer - Model Training and Infrastructure (SWE-focused LLMs) Location: London; full in-office working as default Start date: ASAP Compensation: £80,000 - £110,000 Base Salary & £80,000 - £110,000 Share ...

A technology solutions company in Greater London is seeking a skilled DevOps Engineer. The successful candidate will bridge the gap between development and operations, ensuring smooth delivery pipelines and scalable systems. Responsibilities include implementing CI ...

Mercor is recruiting UK-based Data Engineers for a short, intensive project with a globally leading AI lab. You will produce professional documents and deliverables, working alongside experts from other domains, with outputs used to ...

About Think Jam We are a leading entertainment creative agency serving the world's top fandoms and franchises on the frontlines of social. We work in partnership with studios, streamers and IP holders to give ...