If you are looking to dip your toes into the cloud, this is a great opportunity as they are building software to be agnostic and run across both GCP and AWS. As a Mid Java Developer, you will enjoy endless fantastic benefits: Flexible working from home policy Personal training budget Private health insurance Life assurance Dental & eyecare insurance Bonus More ❯
tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch. Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication More ❯
using Python, Ansible, or REST APIs.Familiarity with Cisco DNA Center, ACI, or Juniper Contrail.Knowledge of Zero Trust Network Access (ZTNA) frameworks and Cloud Networking (AWS/Azure/GCP).Excellent troubleshooting, analytical, and communication skills. More ❯
leading capability evaluations preferred. • Excellent communication and stakeholder engagement skills, with the ability to translate technical complexity into actionable insights. • Knowledge of cloud-based AI platforms (Azure, AWS, GCP) and enterprise MLOps environments a plus. • Prior consulting or advisory experience within large organizations is advantageous. More ❯
Design end-to-end GenAI solutions using LLMs, multimodal models, and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate More ❯
Design end-to-end GenAI solutions using LLMs, multimodal models, and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Paradigm Talent
mentoring software engineers. Solid background across the full stack (Ruby, Go, Python, Typescript) Strong grasp of system design, data structures, and scalable architectures. Familiarity with cloud platforms (e.g. GCP, AWS) and AI tooling. A product-focused mindset and passion for solving real-world problems through technology. Why it’s exciting Work at the intersection of AI innovation and social More ❯
mentoring software engineers. Solid background across the full stack (Ruby, Go, Python, Typescript) Strong grasp of system design, data structures, and scalable architectures. Familiarity with cloud platforms (e.g. GCP, AWS) and AI tooling. A product-focused mindset and passion for solving real-world problems through technology. Why it’s exciting Work at the intersection of AI innovation and social More ❯
edge ideas into production-ready systems used by leading Frontier labs. You Might Be a Fit If You... Have deep experience building scalable, cloud-based systems (AWS or GCP) Are fluent in typed languages such as TypeScript/Node.js, Python, Golang etc... and are pragmatic about using the right tool for the job Have led complex engineering projects from More ❯
and multitasking capability. Passion for delivering exceptional customer outcomes. Proficiency in scripting (Python or PowerShell) and working with APIs. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Knowledge of network technologies and cybersecurity frameworks (e.g., NIST, CIS, MITRE). Experience administering Windows, Linux, or MacOS environments. Core Value Embodiment: Embody our core values to foster a More ❯
Head of Architecture, Principal Architect, or Director of Solutions Architecture within a SaaS, consulting, or enterprise technology business. Deep understanding of cloud-native architectures (AWS preferred, Azure or GCP also valuable). Strong experience integrating ERP and enterprise systems — ideally including SAP, Salesforce, or Maximo. Solid understanding of modern application stacks (React, Node.js, Postgres, API Gateway, microservices, Lambda, ECS More ❯
track record in training and enabling colleagues and clients across the Snowflake ecosystemExperience in design and delivering business solutions on other modern data platforms (e.g. Databricks, Azure, AWS or GCP native stacks)Experience with platform observability and CI/CD for data platformsHands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or AirflowHistory of supporting More ❯
to know them all. Bring curiosity, creativity, and a willingness to learn as much as technical expertise. Nice-to-haves (but not must-haves): Experience with cloud databases (GCP, AWS, Snowflake). Knowledge of data pipelines or testing tools. Exposure to machine learning, forecasting, or statistical techniques. (Don’t worry if you don’t tick every box – if you More ❯
to know them all. Bring curiosity, creativity, and a willingness to learn as much as technical expertise. Nice-to-haves (but not must-haves): Experience with cloud databases (GCP, AWS, Snowflake). Knowledge of data pipelines or testing tools. Exposure to machine learning, forecasting, or statistical techniques. (Don't worry if you don't tick every box - if you More ❯
government environment Evidence of successfully leading architecture initiatives, technology transformation programmes, or large-scale system integrations. Proven expertise in designing and implementing architectures for cloud platforms (Azure, AWS, GCP), modern application platforms, integration technologies, and security frameworks. Ability to develop and articulate an enterprise-wide architectural vision that aligns with the council’s business objectives, digital strategy, and service More ❯
government environment Evidence of successfully leading architecture initiatives, technology transformation programmes, or large-scale system integrations. Proven expertise in designing and implementing architectures for cloud platforms (Azure, AWS, GCP), modern application platforms, integration technologies, and security frameworks. Ability to develop and articulate an enterprise-wide architectural vision that aligns with the council's business objectives, digital strategy, and service More ❯
Broad knowledge of corporate IT infrastructure , ideally across: International corporate networks End-user compute within corporate environments Data centre infrastructure (server, storage, virtualisation) Public cloud platforms (Azure, AWS, GCP) Big data, visualisation and analytics Leadership experience in project and programme delivery Experience as a client lead or consulting lead under senior sponsorship Exposure to the full delivery lifecycle from More ❯
SAML, and their weaknesses. Detailed knowledge of system security vulnerabilities and remediation techniques, including penetration testing and the development of exploits. Experience with Cloud Computing providers like AWS, GCP, Azure. Problem solving skills to resolve problems effectively and creatively while maintaining a high level of flexibility, professionalism, and integrity Who We Are Do Your Best Work The opportunity to More ❯
with experience using PySpark and ML libraries such as scikit-learn, TensorFlow, or Keras . You are familiar with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, GCP), and can effectively communicate technical concepts to non-technical stakeholders. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or More ❯
with proven delivery in project and BAU environments. Strong knowledge of data platforms and architectures (cloud and on-premise), with ability to evaluate and recommend solutions (Azure, AWS, GCP, Snowflake, Databricks, SQL Server). Expertise in data modelling (conceptual, logical, physical), integration design, and lifecycle management. Experience of data risk and control frameworks, including data security and access control. More ❯
Qualifications: Background in theoretical neuroscience or computational neuroscience Experience in processing and analyzing large-scale, high-dimensional data of different sources Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services Familiarity with big data and MLOps platforms (e.g. MLflow, Weights & Biases) Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using More ❯
Qualifications: Background in theoretical neuroscience or computational neuroscience Experience in processing and analyzing large-scale, high-dimensional data of different sources Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services Familiarity with big data and MLOps platforms (e.g. MLflow, Weights & Biases) Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using More ❯
improvement of AI programmes Experience required: Solid experience across end-to-end machine learning workflows Expertise in Python, with knowledge of ML frameworks and MLOps tools AWS, Azure, or GCP experience Previous experience working as an Educator (Trainer/Instructor/Coach/Mentor/Lecturer etc) This is a fully remote working role & salary is £65,000 (maybe negotiable More ❯
travel to visit customer sites Driving License Technical Skills: Infrastructure Specialist Configuration automation with Ansible Linux, preferably Redhat/Centos Good Network skills (Firewalls & Switches) AWS/Azure/GCP Containerisation technologies such as Kubernetes and Docker Grafana and or Prometheus Vmware Experience: Minimum 3 years. More ❯
in at least one part of our stack is essential: Mobile: React Native, iOS/Android Web Frontend: React, TypeScript, Apollo, Tailwind Backend: TypeScript, Go, GraphQL, PostgreSQL, gRPC Hosting: GCP, AWS Above all, you bring strong commercial insight and a collaborative mindset, partnering seamlessly with product, marketing, and data stakeholders to translate vision into scalable engineering solutions that drive meaningful More ❯
