XML, CSV, Flat Files). Hands-on experience in error handling, debugging, and performance tuning of integrations. Familiarity with relational databases (SQL/NoSQL) and cloud platforms (AWS, Azure, GCP). Excellent analytical, problem-solving, and communication skills. Ability to work independently in a remote environment and deliver results with minimal supervision. Preferred Qualifications Experience with ETL tools or other More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Explore Group
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 Experience with transformer More ❯
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 Experience with transformer More ❯
london, south east england, united kingdom Hybrid / WFH Options
Explore Group
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 Experience with transformer More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Explore Group
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 Experience with transformer More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Explore Group
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 Experience with transformer More ❯
with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable of autonomous decision-making and More ❯
with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable of autonomous decision-making and More ❯
with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable of autonomous decision-making and More ❯
with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable of autonomous decision-making and More ❯
london (city of london), south east england, united kingdom
Capgemini
with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable of autonomous decision-making and More ❯
production environments. Solid understanding of both SQL and NoSQL databases Experience building and consuming APIs; familiarity with CI/CD practices. Nice to Have Exposure to cloud platforms (AWS, GCP, Azure) Knowledge of automation tools (UIPath, Power Automate or similar..) Familiarity with automation pipelines and business workflows. If you're passionate about applying AI in real-world settings, enjoy the More ❯
DV Clearance. Experience in data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and relevant data science libraries. Experience in using CI/CD tooling for code deployment and testing. Knowledge of database technologies (e.g., SQL, NoSQL such as More ❯
in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in More ❯
in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in More ❯
in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in More ❯
london (city of london), south east england, united kingdom
Accenture
in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in More ❯
in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in More ❯
enjoy solving open-ended problems and shipping solutions that matter. Technologies we use Backend languages: Python, Go Tech infrastructure: AWS, CDK (TypeScript), Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event-driven architecture and domain-driven design How we reward our team Dynamic working environment with a diverse and driven team More ❯
and integration. Experienced in SAP system integration architecture using SAP BTP or other middleware solutions. Familiarity with data warehousing, reporting and analytics strategy Experience in cloud platforms like AWS, GCP, or Azure is welcome Excellent communication and relationship-building skills, with fluency in English Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration More ❯
huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies eg. AWS, GCP or Azure. Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning More ❯
Coventry, Warwickshire, United Kingdom Hybrid / WFH Options
Computer Futures
optimise software deployment processes. Implementing infrastructure as code using Ansible or Terraform. Maintaining and enhancing system stability through solid Linux systems knowledge. Essential Qualifications: Dev Ops Certification - AWS or GCP Certified professional. Required Skills: Kubernetes/Docker: Expertise in designing containerised environments critical for scalable, reliable, and efficient software deployment. CI/CD Pipelines: Proficient in automating build, test, and More ❯
Coventry, West Midlands, West Midlands (County), United Kingdom Hybrid / WFH Options
Computer Futures
optimise software deployment processes. Implementing infrastructure as code using Ansible or Terraform. Maintaining and enhancing system stability through solid Linux systems knowledge. Essential Qualifications: Dev Ops Certification - AWS or GCP Certified professional. Required Skills: Kubernetes/Docker: Expertise in designing containerised environments critical for scalable, reliable, and efficient software deployment. CI/CD Pipelines: Proficient in automating build, test, and More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
VANLOQ LIMITED
within a secure, high-availability environment, supporting the development of services hosted on Public Cloud platforms. Youll bring strong software engineering expertise, coupled with DevOps proficiency across AWS and GCP, to design and implement resilient frontend clients, backend services, infrastructure automation, and cloud-native solutions. Key Responsibilities Design, develop and maintain secure, performant backend REST API services and frontend clients … ensuring compliance with audit and regulatory standards. Build and maintain CI/CD pipelines in collaboration with DevOps and Security teams. Manage and optimise cloud infrastructure across AWS and GCP, ensuring resilience, cost efficiency, and security. Collaborate with infrastructure, architecture, and cybersecurity teams to meet compliance and governance requirements. Support live systems, conduct root cause analysis, and deliver solutions for … or equivalent experience. 5+ years in software engineering with experience in large-scale distributed systems. Proficient in Python and GoLang. Strong background in cloud technologies (AWS and/or GCP), networking, IAM, and cost optimisation. Hands-on experience with DevOps practices, including IaC (Terraform), CI/CD (Jenkins, GitLab CI), and containerisation. Strong understanding of security principles within cloud and More ❯
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. What More ❯