20 jobs found

East Midlands (England), East of England, London (region), North East England, North West England, Scotland, South East England, South West England, Wales, West Midlands (England), Yorkshire and the Humber The Role Please note this role requires you to pass Security Check clearance. Please click on the link for details. We are recruiting two Lead DevOps Engineers to join the Office of the Chief Technology Officer (OCTO), working within the Chief Architect function. These roles will provide technical leadership for DevOps and platform engineering across strategic technology platforms that enable the Ministry of Justice to deliver secure, reliable and scalable digital services. OCTO sets technical direction across the organisation. It defines standards, shapes shared platforms and ways of working, and supports teams to build and operate systems that are secure, reliable and sustainable. As a Lead DevOps Engineer, you will help shape and operate critical platform capabilities that support delivery across the organisation. You will establish and promote modern engineering practices, ensuring platforms are resilient, observable, secure and easy for teams to use. Working closely with engineers, architects, product managers and delivery teams, you will help create the environments, tooling and operational processes needed to support effective software delivery at scale. Justice Digital, Data and Science exists to support the delivery of justice through modern, reliable and secure digital services. We work in multidisciplinary teams, focus on user needs, and take a pragmatic approach to technology that balances pace with long-term sustainability. You will join the Office of the Chief Technology Officer, a central function that sets technical direction across Justice Digital, Data and Science. OCTO works closely with delivery teams, platform teams and senior leaders to define standards, shape shared platforms and improve how engineering is done across the organisation. This role offers the opportunity to operate at organisational scale, influence how engineering works across Justice Digital, Data and Science, and remain closely connected to real technical problems through hands-on engagement with tooling and platforms. The roles are aligned to two key strategic areas: Integration Hub We are establishing a new integration hub to enable more consistent, reusable and governed approaches to how systems interact across the MoJ estate. This role will play a key part in shaping how that platform is built and operated, ensuring it supports modern integration patterns such as APIs, event-driven architecture and messaging. You will be responsible for ensuring the platform and related services are operable, reliable and secure, with the tooling, environments and practices needed for teams to build, deploy and run integrations effectively. You will help establish strong engineering practices, CI/CD pipelines, observability and operational controls that support consistent and scalable integration delivery across the organisation. Justice Data Factories The second role will focus on Justice Data Factories, our federated data architecture initiative. Justice Data Factories provide agency-specific environments where data is ingested, transformed and published as trusted data products, enabling domains across the Ministry of Justice to take greater ownership of their data while operating within a consistent, governed architectural framework. You will play a key role in developing and operating the platform capabilities, infrastructure and engineering practices that underpin this ecosystem. Working closely with data engineers, architects and product teams, you will ensure the platform is secure, scalable and reliable, while driving improvements in automation, CI/CD, observability and operational resilience to support the delivery of data products at scale. Both roles offer the opportunity to influence organisation-wide technology platforms, shape engineering standards and practices, and contribute to the delivery of modern, reusable capabilities that support the Ministry of Justice's digital and data ambitions. This role aligns against the Lead DevOps engineer role from the Government Digital and Data Framework You can find more details of the Benefits we offer here . To help picture your life at MoJ Justice Digital, Data and Science please take a look at our blog. Our Tech Stack We use a broad range of technologies and are looking for people with strong practical experience in modern software delivery environments. Cloud platforms: AWS Infrastructure as code: Terraform Containerisation and orchestration: Docker, Kubernetes Source control and CI/CD: GitHub, GitHub Actions Languages: Python You will be supported to deepen your knowledge of our platforms once in post Our work is largely open source. You can explore repositories at: Key Responsibilities Lead the engineering, development and continuous improvement of strategic platforms, including infrastructure, environments and deployment pipelines Develop and maintain CI/CD pipelines and automation to enable teams to build, test and deploy services quickly, safely and consistently. Work directly in code and infrastructure (for example Infrastructure as Code) to ensure platforms are robust, secure and maintainable Build and evolve shared platform capabilities that support the delivery and operation of digital and data services across the organisation. Ensure platforms are designed for high availability, scalability and resilience, with appropriate approaches to disaster recovery and business continuity. Implement and improve observability, including logging, metrics and tracing, to enable effective monitoring and operational support. Provide technical leadership and practical support to engineering teams, helping them make effective use of platform capabilities, tooling and environments. Work closely with engineers, architects and product teams to ensure services are deployable, operable and production-ready. Take ownership of platform reliability, performance and operational excellence in production environments. Support incident response, troubleshooting and root cause analysis, driving continuous improvement through automation, tooling and platform enhancements. If this feels like an exciting challenge, something you are enthusiastic about, and want to join our team please read on and apply! Person Specification Essential: Significant, recent hands-on experience working as a DevOps Engineer, Platform Engineer or similar, building and operating cloud-native platforms or services in production. Hands-on experience building and operating container-based platforms (e.g. Kubernetes) in production, including deploying and managing distributed systems. Experience using infrastructure as code (e.g. Terraform, CloudFormation) to provision and manage scalable, reliable environments. Experience implementing and operating observability tooling (logging, monitoring, alerting, tracing) to support reliable services in production. Understanding of how to design and operate platforms that support integration patterns such as APIs, event-driven systems and messaging. Willingness to be assessed against the requirements for SC clearance. We welcome the unique contribution diverse applicants bring and do not discriminate based on culture, ethnicity, race, nationality or national origin, age, sex, gender identity or expression, religion or belief, disability status, sexual orientation, educational or social background or any other factor.

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.

Senior Software Engineer London (Hybrid) 90,000 - 100,000 Here at Data Idols, we're working with an innovative technology business that is scaling a cutting-edge AI-powered platform used by enterprise clients globally. As the platform continues to grow, they're looking for a Senior Software Engineer to play a key role in shaping its future architecture, scalability and technical direction. This is an opportunity to join a high-performing engineering team where you'll have genuine influence over architecture, technology decisions, product direction and engineering standards. The Opportunity As a Senior Software Engineer, you'll take ownership of key platform components from design through to deployment, optimisation and ongoing support. Working within a modern cloud-native environment, you'll help design, build and scale an AI-powered platform that is entering a significant growth phase and supporting increasingly large enterprise customer bases. This is a highly visible role where you'll collaborate closely with product and engineering leadership to shape technical roadmaps, influence architecture decisions and contribute to the long-term evolution of the platform. You'll be responsible for delivering high-quality, resilient software, improving engineering processes and tooling, and driving best practice across development, testing, deployment and monitoring. Skills and Experience Strong commercial experience developing software using both Python and TypeScript Experience building and operating applications within AWS and/or GCP environments Strong understanding of scalable system design Hands-on experience with CI/CD pipelines and modern engineering practices Experience building resilient, cloud-native applications If you're an experienced software engineer looking to work on complex technical challenges within a modern AI-focused environment, we'd love to hear from you. Senior Software Engineer

Data Engineer London / remote 429 per day inside IR35 6 months duration Active SC clearance We are seeking a Senior Data Engineer to join a high-performing team delivering large-scale cloud and data transformation programmes. This is an exciting opportunity to work on complex data platforms, leveraging modern cloud technologies and best-in-class engineering practices to build scalable, secure, and high-quality data solutions. You'll play a key role in designing and developing data pipelines, integrating data from multiple sources, and helping organisations unlock the value of their data through robust engineering and architecture. What You'll Be Doing Designing, developing, and optimising enterprise-scale data pipelines. Building cloud-native data solutions using AWS and Azure. Developing and supporting ETL/ELT processes using Informatica. Working with large datasets to ensure data quality, performance, and reliability. Collaborating with architects, developers, analysts, and business stakeholders. Supporting CI/CD, automation, and DevOps best practices. Contributing to Agile delivery teams and driving engineering excellence. What We're Looking For Essential Skills Strong experience with Informatica. Proven delivery experience on data engineering or data transformation projects. Hands-on AWS experience. Experience working within Azure environments. Strong SQL skills and understanding of modern data engineering principles. Desirable Skills Python and PySpark development. AWS services including EMR, S3, Lambda, Athena, and Redshift. Apache Spark and large-scale batch processing. Terraform, CI/CD pipelines, and Infrastructure as Code. Git/GitLab and modern software development practices. API integration and data services. Data warehousing, dimensional modelling, and dbt. Power BI familiarity. Experience working within government or highly regulated environments. What's In It For You? Opportunity to work on impactful, large-scale data programmes. Exposure to modern cloud and data technologies. Collaborative and supportive engineering culture. Ongoing professional development and certification opportunities. Flexible working arrangements and excellent career progression opportunities. If you're passionate about building scalable cloud data solutions and want to work on complex, high-profile programmes, we'd love to hear from you. If this Data Engineer role is of interest, apply now or email your CV to me at (url removed)

AWS Cloud Native DevOps Engineer Consultant / Senior Consultant Salary: 65,000 - 75,000 pa plus benefits, pension and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Bristol Security Clearance: Candidates must hold active SC clearance Overview: We're looking for AWS Cloud Native DevOps Engineers who are passionate about building secure, scalable, and highly available cloud platforms. You'll work on mission-critical programmes, helping organisations modernise their cloud infrastructure through automation, cloud-native technologies, and DevOps best practices. This is an opportunity to work within high-performing engineering teams delivering secure AWS solutions in complex environments where reliability, security, and performance are essential. About The Role: Design, build, and manage secure, scalable AWS cloud environments. Develop Infrastructure as Code using Terraform, CloudFormation, or similar tools. Build and maintain CI/CD pipelines to support efficient software delivery. Implement monitoring, logging, and observability solutions. Collaborate with Agile teams, architects, engineers, and stakeholders. Automate infrastructure and operational processes through scripting. Troubleshoot and optimise cloud infrastructure and deployments. Apply cloud security best practices, including Zero Trust principles. Continuously learn and adopt emerging cloud and DevOps technologies. Your Skills and Experience: Strong experience deploying and managing AWS infrastructure within secure or regulated environments. Proven experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi. Hands-on experience building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, or ArgoCD. Experience with containerisation and orchestration technologies including Docker and Kubernetes. Strong scripting and automation skills using Python, Bash, or PowerShell. Solid understanding of AWS networking concepts including VPCs, subnets, routing, load balancing, and security groups. Experience with monitoring and logging platforms such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch. Knowledge of cloud security best practices and Zero Trust security models. Strong troubleshooting and problem-solving skills across cloud and platform technologies. Experience working within Agile delivery environments. To be successfully appointed to this role, it is a requirement to hold active Security Check (SC) clearance. If you're ready to take the next step in your career, we want to hear from you! Please send your updated CV

AWS Cloud Native DevOps Engineer Consultant / Senior Consultant Salary: 65,000 - 75,000 pa plus benefits, pension and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Bristol Security Clearance: Candidates must hold active SC clearance Overview: We're looking for AWS Cloud Native DevOps Engineers who are passionate about building secure, scalable, and highly available cloud platforms. You'll work on mission-critical programmes, helping organisations modernise their cloud infrastructure through automation, cloud-native technologies, and DevOps best practices. This is an opportunity to work within high-performing engineering teams delivering secure AWS solutions in complex environments where reliability, security, and performance are essential. About The Role: Design, build, and manage secure, scalable AWS cloud environments. Develop Infrastructure as Code using Terraform, CloudFormation, or similar tools. Build and maintain CI/CD pipelines to support efficient software delivery. Implement monitoring, logging, and observability solutions. Collaborate with Agile teams, architects, engineers, and stakeholders. Automate infrastructure and operational processes through scripting. Troubleshoot and optimise cloud infrastructure and deployments. Apply cloud security best practices, including Zero Trust principles. Continuously learn and adopt emerging cloud and DevOps technologies. Your Skills and Experience: Strong experience deploying and managing AWS infrastructure within secure or regulated environments. Proven experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi. Hands-on experience building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, or ArgoCD. Experience with containerisation and orchestration technologies including Docker and Kubernetes. Strong scripting and automation skills using Python, Bash, or PowerShell. Solid understanding of AWS networking concepts including VPCs, subnets, routing, load balancing, and security groups. Experience with monitoring and logging platforms such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch. Knowledge of cloud security best practices and Zero Trust security models. Strong troubleshooting and problem-solving skills across cloud and platform technologies. Experience working within Agile delivery environments. To be successfully appointed to this role, it is a requirement to hold active Security Check (SC) clearance. If you're ready to take the next step in your career, we want to hear from you! Please send your updated CV.

Senior Software Engineer Birmingham (Hybrid) Permanent Full-Time Competitive Salary A growing technology business is seeking a Software Engineer to join its engineering team in Birmingham. This is an excellent opportunity for a developer with strong AWS and backend engineering experience who wants exposure to cloud-native systems, IoT integrations, frontend development, DevOps, and AI-powered applications . Key Responsibilities Design, develop, and maintain AWS-based backend microservices Build frontend applications using React and TypeScript Work on IoT integrations including connected edge devices Develop infrastructure using AWS CDK / Infrastructure as Code Support CI/CD pipeline improvements and deployments Contribute to AI / LLM-powered product functionality Collaborate with stakeholders to define and deliver solutions Maintain code quality through code reviews and engineering best practice Technical Environment Languages: TypeScript, Node.js, Python, Go Cloud: AWS Lambda, API Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python, or Go CI/CD and Docker experience Full-stack engineering mindset Strong communication skills Desirable Skills React / TypeScript frontend experience Infrastructure as Code GraphQL / AppSync Event-driven architectures IoT / edge systems AI / machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team environment Competitive salary

Software Development Specialist / Professional Location: London, Cheltenham, Ipswich, or Manchester (Onsite) Hours: 37.5 hours per week Clearance Requirement: Active DV (Developed Vetting) clearance is mandatory. About the Role We are seeking engineers with strong IT and engineering skills to build, design, and secure modern technology platforms. You will work in a software-defined, automation-first environment to iterate fast and deploy at pace. Multiple roles are available across different seniority levels. Key Responsibilities Own and deliver automated engineering platform capabilities in a CI/CD environment. Design and evolve CI/CD pipelines and embed Infrastructure-as-Code (IaC). Integrate security controls into workflows so services are secure by design. Support engineering teams, remove manual tasks, and improve platform reliability. Collaborate across development, security, and operations teams. What You'll Need We are looking for a mix of some or all of the following: Development: Experience with Java, Python, JavaScript, C++, or C#. Cloud & Containers: Cloud-native platforms (AWS, Azure, GCP) and Kubernetes/Helm. CI/CD & IaC: GitLab, Jenkins, Terraform, or Ansible. Data & Observability: Database technologies and tools like Prometheus, Grafana, or ELK. Core Practices: Agile principles, technical documentation, and security principles (Zero Trust, IAM) Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Full Stack Python Engineer (Python, React, TypeScript & AWS) Contract: Until March 2027 Rate: 500 per day (Inside IR35) Location: Hybrid with 1-2 days per month onsite in Leeds Start: ASAP We're looking for a Senior Full Stack Python Engineer to join a major public sector digital programme delivering critical services. This role is ideal for an engineer who enjoys owning solutions end-to-end, from building modern React front ends through to developing scalable Python services and cloud infrastructure in AWS. Previous NHS or Government experience is essential. Key Skills Required Strong Python development experience Strong front-end development experience using React and TypeScript Experience building and consuming RESTful APIs AWS expertise including: Lambda, DynamoDB, S3, API Gateway Infrastructure as Code with Terraform CI/CD using GitHub Actions JavaScript and Bash scripting Experience with Flask and modern backend frameworks Experience working with NGINX, Redis and NoSQL databases Experience building highly available, scalable and performant applications Strong understanding of software architecture, security and cloud-native design Nice to Have FHIR and HL7 healthcare standards Event-driven or microservices architectures GDS/public sector digital delivery experience What You'll Be Doing Building modern React/TypeScript front-end applications Developing Python-based APIs and backend services Designing and deploying AWS cloud solutions Creating and maintaining CI/CD pipelines Delivering secure, scalable services used at national scale Working within multidisciplinary Agile teams Supporting services through the full lifecycle, from development to production operation and continuous improvement Apply now or email for more information.

Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. 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. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV

Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. 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. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV

Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. 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. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV

Principal / Lead Engineer Python / Cloud / Terraform / IAM / DevOps / infrastructure-as-a-code IaC Rate: Circa 600 - 700 PD (Outside IR35), 6 Months Location: London / Hybrid x2 days We are seeking an experienced Principal / Lead Engineer to join a highly ambitious organisation building a large-scale, mission-critical data and technology platform. This is a unique opportunity to join at the earliest stages of a major programme and play a key role in shaping its technical foundations. Working closely with the CTO and a small team of senior engineers, you will lead the design and implementation of core infrastructure, establish engineering standards and practices, and make architectural decisions that will have long-term strategic impact. If you enjoy solving complex technical challenges, influencing technology strategy, and creating robust engineering foundations, this role offers an exceptional opportunity to make a lasting impact. Role & Responsibilities Technical Leadership Lead the design and implementation of foundational platform infrastructure and engineering capabilities Define architectural patterns, engineering standards, and best practices that will guide future development Partner closely with the CTO and senior stakeholders to make and document key technical decisions Promote secure-by-design principles across all aspects of platform development Establish and maintain core engineering tooling, including source control, CI/CD pipelines, infrastructure-as-code, and automated testing frameworks Platform Engineering Design and implement identity and access management solutions with robust authentication and authorisation controls Build and manage cloud infrastructure using modern infrastructure-as-code approaches Develop audit, workflow, and operational capabilities to support governance and compliance requirements Implement networking, monitoring, and security controls for highly secure environments Evaluate and integrate appropriate open-source technologies and third-party components Contribute to the design and delivery of scalable, resilient, and maintainable distributed systems Collaboration & Team Development Act as a senior technical contributor within a high-performing engineering team Mentor engineers and help establish a strong engineering culture as the organisation grows Collaborate with product, design, and delivery teams to ensure technology solutions align with business objectives Engage with external partners, suppliers, and stakeholders where required Essential Skills & Experience Proven experience leading or making significant contributions to complex distributed, cloud-native, or federated systems Strong software engineering expertise in Python, including backend development, automation, and infrastructure tooling Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud) Strong experience implementing Infrastructure as Code using tools such as Terraform or equivalent Experience designing and building authentication and authorisation systems, including modern identity standards and policy-based access controls Solid understanding of data storage architectures and the trade-offs between different storage and query patterns Experience establishing CI/CD pipelines and engineering best practices within modern software environments Ability to work effectively in fast-moving environments with evolving requirements and limited precedent Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Desirable Skills & Experience Experience building secure, highly regulated, or mission-critical platforms Familiarity with federated architectures and distributed data access models Experience designing solutions with strong governance, auditability, and security requirements Knowledge of privacy-preserving technologies and secure computing environments Experience evaluating, adopting, or contributing to open-source technologies Background working within complex stakeholder environments undergoing significant transformation

Senior Backend Python Developer (Contract) Contract: Rolling 3-Month Contract Location: Fully Remote (UK Based Only) Rate: 300 per day IR35 Status: Outside IR35 Start Date: ASAP Please note: Applicants must be based in the UK. Sponsorship is not available for this position. The Opportunity We're working with a growing technology-driven organisation looking for a strong Senior Backend Python Developer to join their engineering team on an initial 3-month contract with a high likelihood of extension. This is a hands-on backend-focused role where you'll be responsible for designing, developing, and maintaining scalable services, APIs, and integrations that underpin critical business applications. You'll be working closely with architects, product teams, and fellow engineers to deliver high-quality solutions in a fast-paced Agile environment. The ideal candidate will be an experienced Python developer with a strong understanding of modern backend engineering principles, cloud-native development, and API design. Key Responsibilities Design, develop, and maintain scalable backend applications and services using Python Build and optimise RESTful APIs and microservices Develop integrations between internal and third-party systems Write clean, maintainable, and well-tested code Participate in technical design discussions and architectural decisions Troubleshoot, debug, and resolve complex technical issues Contribute to CI/CD pipelines and deployment processes Collaborate with product, engineering, and DevOps teams to deliver high-quality solutions Perform code reviews and champion engineering best practices Support ongoing improvements to performance, scalability, and security Required Skills & Experience Strong commercial experience developing backend applications using Python Experience building scalable APIs and distributed systems Strong understanding of software engineering best practices and design patterns Experience with relational databases such as PostgreSQL or MySQL Experience working with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker and containerised deployments Experience with Git and collaborative development workflows Understanding of CI/CD pipelines and automated testing Experience working within Agile delivery environments Strong problem-solving and debugging skills Desirable Experience Experience with FastAPI, Django, or Flask Exposure to event-driven architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features or workflows Experience with OpenAI, Anthropic, Azure AI, LangChain, LlamaIndex, or similar technologies Retrieval-Augmented Generation (RAG) solutions AI agents and workflow automation What's on Offer 300 per day Fully remote working Outside IR35 engagement Rolling 3-month contract with extension potential Opportunity to work on modern technology and scalable systems Immediate interview and start process Please note: Candidates must be UK-based and have the unrestricted right to work in the UK. Sponsorship is not available.

About Scrumconnect Consulting At Scrumconnect Consulting, we help organisations deliver high-quality digital services through agile delivery, modern engineering practices, and user-centred design. Our teams work across a range of complex transformation programmes, building scalable, secure, and accessible solutions that create meaningful impact. We are looking for a highly experienced Principal Software Developer to provide technical leadership, shape engineering strategy, and drive the successful delivery of complex software solutions across multiple projects and teams. Role Overview As a Principal Software Developer, you will play a key role in defining technical direction, establishing engineering best practices, and mentoring development teams. You will collaborate with architects, product managers, delivery teams, and stakeholders to design and deliver robust, scalable, and secure software solutions. This role requires a strong technical background, excellent leadership skills, and the ability to influence engineering decisions across an organisation. Key Responsibilities Provide technical leadership across multiple projects and delivery teams. Define and drive software engineering standards, best practices, and development frameworks. Design scalable, resilient, secure, and maintainable software architectures. Lead the delivery of complex software solutions from concept through to production. Collaborate with product, delivery, architecture, and business stakeholders to align technical solutions with organisational objectives. Conduct architecture reviews, code reviews, and technical design sessions. Mentor and support software engineers, senior developers, and technical leads. Drive continuous improvement initiatives across development processes and tooling. Champion DevOps, CI/CD, cloud-native development, and automation practices. Identify and mitigate technical risks while ensuring high-quality delivery outcomes. Support recruitment, technical assessments, and capability development within engineering teams. Stay up to date with emerging technologies and industry trends, recommending improvements where appropriate. Essential Skills & Experience Extensive experience in software development and technical leadership roles. Strong expertise in one or more programming languages such as: Java JavaScript/TypeScript Node.js C# Python Go Experience designing and delivering large-scale distributed systems and microservices architectures. Strong understanding of cloud platforms such as: AWS Azure Google Cloud Platform (GCP) Experience implementing CI/CD pipelines and DevOps practices. Strong knowledge of containerisation and orchestration technologies such as Docker and Kubernetes. Experience with API design, integration patterns, and event-driven architectures. Excellent understanding of software engineering principles, design patterns, and coding standards. Experience working within Agile delivery environments. Strong stakeholder management and communication skills. Proven experience mentoring and leading engineering teams. Desirable Skills Experience working within public sector or regulated environments. Knowledge of security, accessibility, and compliance requirements. Experience with Infrastructure as Code (Terraform, CloudFormation, Bicep, etc.). Experience with data platforms, analytics, or AI-enabled solutions. Experience contributing to enterprise architecture and technology strategy. Relevant cloud, architecture, or engineering certifications. What We Offer Competitive salary and benefits package. Opportunity to work on impactful digital transformation programmes. Flexible and collaborative working environment. Professional development and learning opportunities. Access to a highly skilled community of engineers, architects, and delivery professionals. Career progression opportunities within a growing consultancy. Diversity & Inclusion Scrumconnect Consulting is committed to creating an inclusive workplace where everyone can thrive. We welcome applications from candidates of all backgrounds, experiences, and perspectives. We believe that diversity strengthens our teams and helps us build better solutions for our clients and communities. If you require any reasonable adjustments during the recruitment process, please let us know and we will be happy to support you.

Senior Software Engineer (AI Products) London Remote-first Greenfield AI Native Product Development Location: London (remote-first - in office 1x a fortnight) Salary: 90,000 - 110,000 Tech stack: Flexibility with technical background, provided candidate is fluent in modern technologies such as: Python Golang Modern JavaScript frameworks LLMs & AI Agents RAG & AI orchestration frameworks Must have strong AWS experience & high competence with Agentic coding tools This is an opportunity to help shape a new generation of AI native products from day 1. You'll be joining a well established technology company investing heavily in a new generation of AI native products, giving you the opportunity to work on greenfield initiatives without the funding uncertainty, chaos, or risk that often comes with an early stage startup. They're looking for an experienced engineer who has already shipped AI powered systems into production and can operate with a high degree of autonomy. You'll join a small, experienced team where engineers are trusted to make decisions, move quickly, and own problems end to end, without layers of process or constant oversight. It's an adult environment that values outcomes over presenteeism, offers genuine flexibility, and gives engineers significant influence over product direction and architecture. What you'll be doing Building AI powered products and features from concept through to production Designing and developing AI agents that solve real business problems Working closely with product stakeholders to rapidly iterate and deliver value Using agentic development tools as a core part of your workflow Making pragmatic architecture decisions that balance speed with long term maintainability Deploying and operating cloud native applications in production Exploring new models, frameworks and approaches to keep products at the forefront of what's possible What they're looking for Strong software engineering foundations with proven commercial experience working across the stack Experience building and shipping production AI applications or AI agents Hands on experience with LLM APIs, RAG systems, orchestration frameworks, or similar AI technologies Strong architectural instincts and ability to make sound engineering decisions Experience working with AWS cloud infrastructure Why join? Opportunity to build greenfield AI native products High trust, low bureaucracy environment Significant ownership and influence over technical direction Strong investment in modern AI tooling and engineering practices Remote-first & flexible environment Interested and eager to help shape how software is built in an AI first world? Apply to this role or drop me an email at .

Senior Full-Stack Engineer Location: London (Onsite, 5 days per week) Salary & Benefits: 80,000 - 120,000 + Benefits Investigo are partnered with a rapidly growing AI technology company that is reshaping the way organisations harness vedio data through advanced software solutions. They're now seeking a Senior Full Stack Engineer to play a key role in building innovative products and scaling their platform as the business enters its next stage of growth. This is a unique opportunity to join at a pivotal moment. You'll work on cutting-edge projects alongside engineers and leaders from some of the most innovative global tech companies, developing solutions used by clients across healthcare, logistics, education, hospitality, and more. The Role Take ownership of developing scalable backend services and APIs to support new product features. Build and refine user-friendly interfaces using modern JavaScript frameworks. Optimise application performance and ensure high levels of reliability across distributed systems. Contribute to technical strategy a nd help shape future architecture decisions. Collaborate with product, design, and engineering teams to deliver seamless end-to-end solutions. Skills & Experience Proven experience as a Full-Stack Engineer working on large-scale applications. Solid knowledge of development ideally with Python or Go. Experience designing, maintaining, and optimising Database-Driven applications (PostgreSQL, Redi s , or equivalent) Strong background in JavaScript/TypeScript and frameworks such as React . Comfortable working with modern development tools, CI/CD pipelines, and version control. Exposure to at least one of the following would be beneficial: Cloud-based infrastructure (AWS, GCP, or Azure) Infrastructure-as-Code tools (e.g. Pulumi, Terraform, or similar) Mobile app development (React Native, Flutter, etc.) Video streaming or real-time data processing What's on Offer Equity options - opportunity to join early and share in the company's success Be part of a dynamic, collaborative engineering culture solving real-world problems using AI-powered solutions If this sounds like your next challenge, please apply online or email me directly at (url removed).

*3 DAYS PER WEEK ONSITE, INSIDE IR35* Role: Senior Software Engineer Experienced Senior Software Engineer to support development of services hosted on Public Cloud platforms. You will leverage your expertise in Software Development, along with your Cloud Engineering experience across AWS/GCP, to design and implement resilient Front End client, Back End services and cloud-native solutions. This is an opportunity to work on high-impact systems within a secure, high-availability environment at one of the world's leading financial institutions. Key Accountabilities Responsibilities will include: * Design, develop and maintain highly available, secure, and performant Back End REST API services along with Front End client using Python, Golang, Docker and Cloud-Native services. * Implement and manage database schema changes using Liquibase, ensuring alignment with compliance and audit standards. * Collaborate closely with Architecture and DevOps teams to enhance, maintain and mature Product capabilities/features. * Perform root cause analysis and implement solutions for incidents and performance bottlenecks. Qualifications and experience The ideal candidate for this role will have the below experience and qualifications: * Bachelor's or Master's degree in Computer Science or equivalent industry experience. * Comes from Software Engineering background with infrastructure experience. * 5+ years of development experience with a strong focus on large-scale, distributed systems. * Proficient in Python, Golang and PostgreSQL. * Experience with Liquibase or similar tools for database change management and version control. * Hands-on experience with AWS/GCP, including cloud-native services, storage, IAM, and KMS. * Familiarity with DevOps practices, including Infrastructure as Code (eg, Terraform), CI/CD tools (eg, Jenkins, GitLab CI) and containerization. * Strong understanding of security principles in cloud and enterprise systems. * Familiarity with audit and compliance considerations in regulated industries, particularly finance or banking. * Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences. * A successful track record of delivering complex projects and/or programmes, using appropriate techniques and tools to ensure and measure success. Essential Skills * Demonstrable experience of: o Public Cloud. o Linux. o Relational and NoSQL databases. o Integration services such as messaging and streams. o Building RESTful API Services. o Containerisation, Kubernetes, serverless functions. o Microservices, and distributed tracing. o Enterprise logging, monitoring, and alerting frameworks (eg, ELK, Splunk, Prometheus, Grafana). * Experience working within an Agile environment. * Programming experience in following languages: Golang & Python. * Good understanding of cryptography (authentication, data encryption). * Ability to quickly acquire new skills and tools. * Good non-functional testing experience. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.