4 jobs found

GenAI Full Stack Engineer - Managing Consultant Salary: £77,000 - £88,000 pa + £8,000 Bonus plus benefits, perks and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Newcastle, Glasgow Overview: We're looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You'll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.

GenAI Full Stack Engineer - Managing Consultant Salary: 77,000 - 88,000 pa + 8,000 Bonus plus benefits, perks and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Newcastle, Glasgow Overview: We're looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You'll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.

Senior Golang Developer - Kubernetes - Financial Services Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will act as the team lead and play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services , including trading platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment. Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security. Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs. Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services. Implement CI/CD pipelines, automated testing, and monitoring systems to ensure the reliability and stability of production systems. Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability. Stay updated with new tools, technologies, and industry trends in cloud computing, containerization, and financial systems to continuously improve development practices and outcomes. Ideal Skills: Proven experience (2+ years) in GoLang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics. Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems. Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices. Experience with database systems (relational and NoSQL) and working with financial data. Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation). Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios. Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment. Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions. Knowledge of financial industry regulations and standards, particularly around data security and privacy. Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing. Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Understanding of performance monitoring and observability tools such as CloudWatch, Prometheus, or Datadog. Interested? Please Apply! Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible Developer Software Engineer Backend Developer Golang Engineer Kafka Apache Kafka RabbitMQ AWS Lambda Cloud Platform

Junior Software Engineer - Remote, Junior Software Engineers are needed to join one of the leading music technology platforms which operate worldwide! This company has worked alongside successful companies, such as YouTube, BBC and Soundcloud. You will be joining an exciting tech team which work on backend infrastructure applications and orchestration of data across the platform. You will be interested in learning about cloud technologies, and will be working alongside Senior Software Engineers with over 20 years of experience. As a successful Junior Software Engineering candidate, you will have: C# Systems administration (Windows and Linux) Containerisation (docker / containerd) / Kubernetes If you are a Junior Software Engineer candidate with experience using C# and think this is the role for you, apply now for immediate consideration.