in particular, the classic Python Data Science stack (NumPy, pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable. A cloudplatform experience (e.g Azure, AWS, GCP), we're using Azure in the team. Good SQL understanding in practice Capacity and enthusiasm for coaching and mentoring less experienced data scientists, including code reviews, training sessions Must have More ❯
of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Omnis Partners
Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
MFK Recruitment
and implementing cloud infrastructure and application deployments at scale (Terraform or similar, Kubernetes or similar, Docker) Understanding of networking and experience troubleshooting integrated infrastructures in the cloud (AWS, Azure, GCP) Experience building and owning continuous integration, testing, and deployment workflows (GitHub Actions, GitLab CI/CD, Jenkins, or similar) Experience monitoring infrastructure and applications for health and performance Experience building More ❯
like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with cloud environments (AWS, GCP, or Azure) and data pipelines Excellent communication skills—able to explain technical work to non-technical stakeholders and come to meetings with ideas To apply, please submit your CV to More ❯
analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn more. 🗣️ Strong communication skills to share findings clearly with both technical and non 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 ❯
implementation of cloud-based solutions across AWS, Azure, and OCI platforms. What you get to do: Cloud Design and Development: Lead the design and development of GoogleCloudPlatform (GCP) architectures Create scalable, resilient cloud solutions using Infrastructure as Code (IaC) tools like Terraform Design and migrate applications across GCP and AWS … optionally Azure, and OCI platforms Collaborate with stakeholders to define cloud strategies and optimise existing infrastructure GCP and Multi-Cloud Expertise: Architect and implement cloud-native solutions in GoogleCloud (GCP) , leveraging services like EKS , GKE (Google Kubernetes) Design and optimise GCP Implement Identity and Access Management (IAM) and Security Policies Work with Google Anthos, Kubernetes, and container-based architectures … rotation when required Requirements: Experience 7+ years of experience in designing, implementing, and managing cloud-based solutions across multiple cloud platforms Primary Expertise: Deep hands-on experience in GoogleCloud (GCP) Basic knowledge/willing to learn AWS Proven experience in designing and implementing cloud architectures and solutions Experience with Apache Kafka , including setup, configuration, monitoring, and troubleshooting Proficiency in More ❯
or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics. Excellent leadership and team management skills across distributed and cross-functional teams. Strong communication and change management More ❯
A specialist reinsurance broker is seeking a Data Engineer with GoogleCloudPlatform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office. This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. … joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to GoogleCloudPlatform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the … with minimal legacy constraints Requirements : Proven experience as a Data Engineer. Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud). Strong knowledge of GCP, including BigQuery. Experience in Financial Services is desirable but not essential Exposure to AI technologies is a plus Excellent communication and stakeholder management skills Comfortable working in a dynamic, unstructured More ❯
hybrid cloud solutions . ✅ Hands-on expertise with CI/CD, Infrastructure as Code, cloud-native security, and FinOps . ✅ Deep knowledge of at least one hyperscaler (Azure, AWS, GCP) and modern tech stacks. ✅ Strong leadership, problem-solving, and client-facing communication skills. 🎯 Why This Role? Work on high-profile cloud transformation initiatives with major enterprises. Access cutting-edge tech More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
years of experience in Platform Engineering, Cloud Engineering, or DevOps Hands-on experience in DevSecOps, Site Reliability Engineering (SRE), or Agile Delivery Strong cloud expertise in AWS, Azure, or GCP Proficiency in Infrastructure as Code (IaC) using Terraform, GitHub, and Ansible A solid understanding of cloud security, networking, and scalability principles Experience working in Agile environments and contributing to continuous More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Entasis Partners
Proven success delivering architecture across large-scale or complex transformation initiatives Expertise across relevant domains, particularly application, integration, and platform architecture Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern approaches (APIs, microservices, DevOps) Skilled in navigating delivery environments (Agile, hybrid, regulated change) Familiarity with architectural modelling tools and frameworks (TOGAF, ArchiMate, UML, etc.) Confident engaging with both More ❯
care systems - e.g., IVR integrations, Agent desktop Payments and collection Identity and Authentication Service Mesh (Istio, etc.); Knowledge Background of ESB or SOA; Gradle/Maven/Build tools; GCP/GKE; GraphQL; Splunk/StackDriver/Logging Monitoring Traceability Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource More ❯
marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads More ❯
Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco-system - AWS, Azure or GCP in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory Contributing to developing and maintaining cloud governance frameworks, policies, and procedures More ❯
re Looking For 3+ years of experience building scalable systems with Python or C# Strong front-end experience (React, Vue, Angular - your choice) Cloud architecture know-how (AWS, Azure, GCP - any flavour works) Solid understanding of relational databases Background in Computer Science, Engineering, Maths, or similar Experience in a start-up, greenfield, or high-autonomy team environment Passionate problem-solver More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Atrium Workforce Solutions Ltd
version control Detail-oriented and proactive problem solver Enthusiastic about using data to inform business decisions Collaborative team player eager to learn and contribute Desirable Exposure to cloud platforms : GCP , Azure , or AWS Familiarity with Data Lakes , Data Warehouses , or LakeHouse architecture Interest in AI/ML and applied data science use cases Please feel free to contact myself - Daisy More ❯
essential Experience of deep analysis gaining actionable insight from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than More ❯
record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar) Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying models in cloud environments (GCP, AWS, or Azure) Proactive, creative problem solver with a startup mindset and strong communication skills Comfortable taking technical ownership and leading ML projects from end to end If you are More ❯
3+ years experience developing across the stack in C# or Python Proficiency with a modern JS front end framework (React, Vuejs, Angular) Experience with cloud architecture (Azure, AWS or GCP) In depth knowledge of relational database Degree in Maths, Engineering, Computer Science or related Proven experience building scalable systems/applications in start ups OR greenfield projects in a larger More ❯
A specialist reinsurance broker is seeking a Data Engineer with GoogleCloudPlatform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office. This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. … joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to GoogleCloudPlatform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the … with minimal legacy constraints Requirements : Proven experience as a Data Engineer. Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud). Strong knowledge of GCP, including BigQuery. Experience in Financial Services is desirable but not essential Exposure to AI technologies is a plus Excellent communication and stakeholder management skills Comfortable working in a dynamic, unstructured More ❯
HAM/SAM, SPM, HR, CSM, etc.) Ability to demonstrate advanced scripting and integration skills – JavaScript, SQL, API Web Services Experience integrating ServiceNow with Cloud Infrastructure (e.g AWS, Azure, GCP) Security Clearance is desirable, or the ability to obtain SC clearance is required. What’s in it for you At Accenture in addition to a competitive basic salary, you will More ❯
. Strong academic background — Russell Group university. Proven background in product management for BI/data products. Strong SQL and Python skills. Hands-on experience with any cloudplatform (GCP preferred, AWS or Azure fine). Confident with data visualisation tools — Power BI (or Tableau/Looker). Experience working with financial data — banking, insurance, asset management, fintech. Clear communicator More ❯