526 to 550 of 2,596 AWS Jobs in the UK

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

work Exceptional systems knowledge Exceptional Linux knowledge Strong networking knowledge (TCP/IP) Strong concurrent programming ability (C++) Experienced working with distributed systems ( Desirable ) Experience working in the cloud (AWS, GCP, Azure etc.,) ( Desirable ) Experience working with containers Full details are available. Please don't hesitate to get in touch with (email address removed). com to learn more. More ❯

work Exceptional systems knowledge Exceptional Linux knowledge Strong networking knowledge (TCP/IP) Strong concurrent programming ability (C++) Experienced working with distributed systems ( Desirable ) Experience working in the cloud (AWS, GCP, Azure etc.,) ( Desirable ) Experience working with containers Full details are available. Please don't hesitate to get in touch with max at platform-recruitment.com to learn more. More ❯

Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. More ❯

REST) Candidate Specification: Were looking for someone with: Minimum 3 years experience in a database developer/data engineer role Proficiency in SQL and Python Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with data pipeline tools (e.g., SSIS, Spark) Strong grasp of data warehousing and data modelling principles Experience undertaking development work in C# Ability to create and More ❯

workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, you’ll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. More ❯

workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, you’ll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. More ❯

senior leadership role (ideally SaaS, fintech, or regulated industries). - Experience building and scaling engineering teams while ensuring high-quality delivery. - Strong expertise in secure, scalable, cloud-native platforms (AWS, Kubernetes, microservices). - Hands-on with modern backend tech: TypeScript/Node.js, Java, Postgres, Kafka. - Skilled in working with data models, APIs, service-oriented and event-driven systems. - Solid knowledge More ❯

senior leadership role (ideally SaaS, fintech, or regulated industries). - Experience building and scaling engineering teams while ensuring high-quality delivery. - Strong expertise in secure, scalable, cloud-native platforms (AWS, Kubernetes, microservices). - Hands-on with modern backend tech: TypeScript/Node.js, Java, Postgres, Kafka. - Skilled in working with data models, APIs, service-oriented and event-driven systems. - Solid knowledge More ❯

documentation Key Technologies & Tools: ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets, microscopy images, biomedical literature Cloud & DevOps: AWS/GCP, Docker, Kubernetes, MLflow Languages: Python (essential), SQL, Bash Ideal Candidate Profile: 4+ years of experience in machine learning, with at least 2 years in biotech, healthcare, or life More ❯

A strong ability to excel in a fast-paced, constantly evolving digital environment You'll have deep experience in many of the following areas: Cloud Platforms: Deployment and automation (AWS/GCP) Networking: Load Balancing, Routing, Switching Configuration Management: Ansible, Terraform CI/CD: Jenkins, Concourse, GitLab CI, GitHub Actions Virtualisation: VMWare If you're a hands-on SRE expert More ❯

and testing software solutions Utilizing open-source libraries and components Using tools like GitLab for continuous integration pipelines to monitor software quality and security Deploying systems across environments, including AWS and Azure cloud platforms Participating in the full software lifecycle: concept, requirements, architecture, implementation, delivery, training, support, and maintenance Leading teams and managing client engagement (depending on experience) The Fit More ❯

you will: Design, develop, and test software solutions Utilize open-source libraries and components Use tools like GitLab for continuous integration, ensuring quality and security Deploy systems across public (AWS, Azure) and private clouds Engage throughout the software lifecycle, from concept to maintenance Lead teams and manage client engagement (depending on experience) The Fit: We are interested in Senior Engineers More ❯

a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): Direct experience in the gambling/gaming industry Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity More ❯

a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): Direct experience in the gambling/gaming industry Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity More ❯

high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance. Independent More ❯

high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance. Independent More ❯

a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): Direct experience in the gambling/gaming industry Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity More ❯

high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance. Independent More ❯

high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance. Independent More ❯

a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): Direct experience in the gambling/gaming industry Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity More ❯