Staff Engineer / Principal Engineer / Lead Engineer - Full Stack Hybrid working : On-site one day per week (depending on your location) Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; with hybrid or remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.
Jun 11, 2026
Full time
Staff Engineer / Principal Engineer / Lead Engineer - Full Stack Hybrid working : On-site one day per week (depending on your location) Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; with hybrid or remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.
Staff Engineer / Principal Engineer / Lead Engineer - Full Stack UK Remote, moving to Hybrid : On-site one day per week (cadence depending on your location). Other locations / options available. Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; initially remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.
Jun 11, 2026
Full time
Staff Engineer / Principal Engineer / Lead Engineer - Full Stack UK Remote, moving to Hybrid : On-site one day per week (cadence depending on your location). Other locations / options available. Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; initially remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.
We are seeking a Lead AI Red Teaming & QA Engineer to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/CD pipelines using frameworks like Garak , Pyrit , and AgentDojo to enforce strict safety release gates. AI Evaluation Frameworks: Develop metrics and continuous testing for core AI risks, including hallucinations, memorisation, algorithmic bias, uncertainty, and model drift . Regulatory Compliance Evidence: Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by EU AI Act Article 15 , DORA , and FCA Operational Resilience guidelines. Centralised AI-BOM Platform: Own the enterprise AI Bill of Materials (AI-BOM) , tracking model lineages, dataset versions, and signed artifacts as a centralized evaluation service. Required Technical Skills Regulated Finance: Proven experience testing software within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong Python development skills, experience with AI eval tools (Garak, Pyrit, Ragas), and building complex CI/CD test pipelines. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Jun 11, 2026
Contractor
We are seeking a Lead AI Red Teaming & QA Engineer to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/CD pipelines using frameworks like Garak , Pyrit , and AgentDojo to enforce strict safety release gates. AI Evaluation Frameworks: Develop metrics and continuous testing for core AI risks, including hallucinations, memorisation, algorithmic bias, uncertainty, and model drift . Regulatory Compliance Evidence: Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by EU AI Act Article 15 , DORA , and FCA Operational Resilience guidelines. Centralised AI-BOM Platform: Own the enterprise AI Bill of Materials (AI-BOM) , tracking model lineages, dataset versions, and signed artifacts as a centralized evaluation service. Required Technical Skills Regulated Finance: Proven experience testing software within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong Python development skills, experience with AI eval tools (Garak, Pyrit, Ragas), and building complex CI/CD test pipelines. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure-by-design principles including IAM, encryption, network controls, and audit logging Work closely with AI engineers to translate prototypes and proof-of-concepts into production-ready, well-architected platform components What we're looking for Proven experience in platform, infrastructure, or software engineering roles delivering production-grade systems on AWS Strong hands-on Kubernetes experience, specifically with EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service) in production environments Strong Terraform experience for infrastructure-as-code, provisioning and managing cloud infrastructure at scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud-native architecture, microservices, and API design Ownership mindset - comfortable operating autonomously across reliability, performance, cost, and security Why join? You'll own the foundational platform infrastructure behind a growing suite of generative AI products, working directly with senior AI and engineering leaders. This is a deep technical ownership role with long-term architectural impact, within an organisation investing heavily in AI at scale. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Jun 11, 2026
Full time
Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure-by-design principles including IAM, encryption, network controls, and audit logging Work closely with AI engineers to translate prototypes and proof-of-concepts into production-ready, well-architected platform components What we're looking for Proven experience in platform, infrastructure, or software engineering roles delivering production-grade systems on AWS Strong hands-on Kubernetes experience, specifically with EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service) in production environments Strong Terraform experience for infrastructure-as-code, provisioning and managing cloud infrastructure at scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud-native architecture, microservices, and API design Ownership mindset - comfortable operating autonomously across reliability, performance, cost, and security Why join? You'll own the foundational platform infrastructure behind a growing suite of generative AI products, working directly with senior AI and engineering leaders. This is a deep technical ownership role with long-term architectural impact, within an organisation investing heavily in AI at scale. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Robert Half Technology are assisting a market leading financial services (fintech) organisation to recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models from concept to production and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models into production using APIs, batch jobs, or real-time systems Apply best practices around experimentation, evaluation, versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company Market leading financial services (fintech) organisation with offices in London Hybrid working - London based Initial 6 month contract Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training . Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
Jun 11, 2026
Contractor
Robert Half Technology are assisting a market leading financial services (fintech) organisation to recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models from concept to production and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models into production using APIs, batch jobs, or real-time systems Apply best practices around experimentation, evaluation, versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company Market leading financial services (fintech) organisation with offices in London Hybrid working - London based Initial 6 month contract Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training . Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
Senior Java Developer Annual Salary: Competitive with performance-related bonus Location: City of London (Hybrid - 3 days a week onsite) Job Type: Full-Time, Permanent A new exciting opportunity has become available for an experienced Senior Java Developer to join a growing Technology department working specifically within Capital Markets for an SME, post-trade solutions organisation. This role offers an exciting opportunity to play a central role in building and evolving their post-trade technology platform. You will be instrumental in developing in-house systems, APIs, client reporting, and web portals, as well as customising third-party trading systems. This position is a key step towards a Head of Engineering role, anticipated within 24 months based on performance and organisational growth. Day-to-day of the role: Design, develop, and maintain in-house systems, APIs, reporting tools, and the client web portal. Implement AI in the Software Development Life Cycle (SDLC) process. Customise and extend third-party trading systems to meet business requirements. Write clean, well-tested code following SOLID principles, Design Patterns, and Clean Code practices. Apply Test-Driven Development (TDD) and Behaviour-Driven Development (BDD) methodologies; maintain test coverage using JUnit, Spock, and Mockito. Participate in code reviews and contribute to the continual improvement of engineering standards. Collaborate with Client Services and Product Management to understand requirements and propose solutions. Manage and mentor a small team of Java developers, promoting a culture of quality, ownership, and continuous improvement. Required Skills & Qualifications: 7+ years' Java development experience in Financial Services. Strong understanding of capital markets, particularly Clearing or Prime Brokerage services. Proficiency in Java 11+, Spring/Spring Boot, multi-threading, profiling, performance tuning, and Remote Method Invocation (RMI). Experience with CI build and deployment management tools, microservices, and modern software practices like Agile and automated builds/deployments. Proficiency with Git, Maven, and test frameworks like JUnit/Spock. Experience in cloud platforms (AWS, Azure, or GCP), microservices, and event-driven architectures. Desirable: Experience leading a development team and working with offshore teams. Benefits: Clear growth pathway toward Head of Engineering role. Flexible and hybrid working arrangements. Private healthcare, pension, life assurance, and critical illness insurance. A leadership team that values engineering as a core business differentiator. To apply for this Senior Java Developer position, please submit your CV to be immediately considered.
Jun 11, 2026
Full time
Senior Java Developer Annual Salary: Competitive with performance-related bonus Location: City of London (Hybrid - 3 days a week onsite) Job Type: Full-Time, Permanent A new exciting opportunity has become available for an experienced Senior Java Developer to join a growing Technology department working specifically within Capital Markets for an SME, post-trade solutions organisation. This role offers an exciting opportunity to play a central role in building and evolving their post-trade technology platform. You will be instrumental in developing in-house systems, APIs, client reporting, and web portals, as well as customising third-party trading systems. This position is a key step towards a Head of Engineering role, anticipated within 24 months based on performance and organisational growth. Day-to-day of the role: Design, develop, and maintain in-house systems, APIs, reporting tools, and the client web portal. Implement AI in the Software Development Life Cycle (SDLC) process. Customise and extend third-party trading systems to meet business requirements. Write clean, well-tested code following SOLID principles, Design Patterns, and Clean Code practices. Apply Test-Driven Development (TDD) and Behaviour-Driven Development (BDD) methodologies; maintain test coverage using JUnit, Spock, and Mockito. Participate in code reviews and contribute to the continual improvement of engineering standards. Collaborate with Client Services and Product Management to understand requirements and propose solutions. Manage and mentor a small team of Java developers, promoting a culture of quality, ownership, and continuous improvement. Required Skills & Qualifications: 7+ years' Java development experience in Financial Services. Strong understanding of capital markets, particularly Clearing or Prime Brokerage services. Proficiency in Java 11+, Spring/Spring Boot, multi-threading, profiling, performance tuning, and Remote Method Invocation (RMI). Experience with CI build and deployment management tools, microservices, and modern software practices like Agile and automated builds/deployments. Proficiency with Git, Maven, and test frameworks like JUnit/Spock. Experience in cloud platforms (AWS, Azure, or GCP), microservices, and event-driven architectures. Desirable: Experience leading a development team and working with offshore teams. Benefits: Clear growth pathway toward Head of Engineering role. Flexible and hybrid working arrangements. Private healthcare, pension, life assurance, and critical illness insurance. A leadership team that values engineering as a core business differentiator. To apply for this Senior Java Developer position, please submit your CV to be immediately considered.
Software Engineer - Fullstack Join our innovative team as a Software Engineer - Fullstack and be at the forefront of transforming our application landscape into a modern, cloud-hosted finance platform. This exciting role offers the opportunity to work with cutting-edge technologies and contribute to shaping the digital future. If you're passionate about building scalable, high-performance software solutions and thrive in a collaborative environment, this is your chance to make a meaningful impact. Work Model: 3 days on site per week in Milton Keynes What You'll Do: As a vital member of our scrum team, you will participate in redesigning our core products, working across greenfield and legacy solutions. Your expertise will influence every stage of the product lifecycle-from initial design to deployment, ensuring we meet the evolving needs of our customers with innovative, reliable software. Required Skills: Strong experience in C# and .Net Core development Proficiency with Web API design and development Solid understanding of REST principles and SOLID design patterns Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS or Azure Familiarity with Typescript and React (desirable) Knowledge of SQL and NoSQL databases Experience with TDD, Agile/SCRUM methodologies, CI/CD, and DevOps practices Good communication skills and a collaborative team mindset Nice to Have Skills: Experience with Web API integrations and microservices architecture Knowledge of Kubernetes and container orchestration AWS or Azure certifications or experience Familiarity with WebSocket or real-time data streaming Preferred Education and Experience: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) 3+ years of hands-on software development experience in a full-stack environment Other Requirements: Willingness to participate in a hybrid working model based in Milton Keynes Ability to collaborate effectively within an Agile team environment If you're ready to be part of a forward-thinking team and help us redefine the future of mobility solutions, we'd love to hear from you! Apply now and take the next step in your software engineering career.
Jun 11, 2026
Full time
Software Engineer - Fullstack Join our innovative team as a Software Engineer - Fullstack and be at the forefront of transforming our application landscape into a modern, cloud-hosted finance platform. This exciting role offers the opportunity to work with cutting-edge technologies and contribute to shaping the digital future. If you're passionate about building scalable, high-performance software solutions and thrive in a collaborative environment, this is your chance to make a meaningful impact. Work Model: 3 days on site per week in Milton Keynes What You'll Do: As a vital member of our scrum team, you will participate in redesigning our core products, working across greenfield and legacy solutions. Your expertise will influence every stage of the product lifecycle-from initial design to deployment, ensuring we meet the evolving needs of our customers with innovative, reliable software. Required Skills: Strong experience in C# and .Net Core development Proficiency with Web API design and development Solid understanding of REST principles and SOLID design patterns Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS or Azure Familiarity with Typescript and React (desirable) Knowledge of SQL and NoSQL databases Experience with TDD, Agile/SCRUM methodologies, CI/CD, and DevOps practices Good communication skills and a collaborative team mindset Nice to Have Skills: Experience with Web API integrations and microservices architecture Knowledge of Kubernetes and container orchestration AWS or Azure certifications or experience Familiarity with WebSocket or real-time data streaming Preferred Education and Experience: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) 3+ years of hands-on software development experience in a full-stack environment Other Requirements: Willingness to participate in a hybrid working model based in Milton Keynes Ability to collaborate effectively within an Agile team environment If you're ready to be part of a forward-thinking team and help us redefine the future of mobility solutions, we'd love to hear from you! Apply now and take the next step in your software engineering career.
We're working with a fast-growing SaaS company operating at the intersection of data, enterprise platforms, and security. They're building a highly sophisticated product used by large-scale organisations to make smarter, data-driven decisions across complex systems. They're now looking to bring in a Senior / Principal Full Stack Engineer to play a key role in shaping the product and technical direction as they scale. This is a hands-on role with real ownership, ideal for someone who enjoys building high-quality systems, influencing architecture, and working closely with product. What You'll Be Doing Building and scaling a modern, high-performance SaaS platform Working across the full stack with a strong emphasis on clean architecture and scalability Collaborating with product and leadership to translate ideas into technical solutions Designing and developing robust APIs and backend services Leading technical initiatives and mentoring other engineers Contributing to CI/CD pipelines and cloud-based infrastructure Tech Stack Backend: Java, Spring Boot (Data, Security, MVC) Frontend: Vue.js Cloud & DevOps: AWS, CI/CD pipelines Data: SQL, database design & optimisation Architecture: RESTful APIs, scalable system design What They're Looking For Strong experience in Java + Spring Boot at a senior level Deep expertise in Vue.js and modern frontend development Proven experience building scalable, production-grade systems Solid understanding of API design, databases, and cloud environments Ability to take high-level requirements and break them down into technical delivery Experience mentoring engineers or leading technical projects Nice to have: Exposure to cybersecurity, data platforms, or complex enterprise systems Why This Role? Genuine ownership and impact on product direction High-calibre engineering environment Equity as part of the package Hybrid Working within the UK Opportunity to work on a technically challenging, meaningful platform Process If this sounds like something you'd be open to exploring, apply directly or drop me a message for more details.
Jun 11, 2026
Full time
We're working with a fast-growing SaaS company operating at the intersection of data, enterprise platforms, and security. They're building a highly sophisticated product used by large-scale organisations to make smarter, data-driven decisions across complex systems. They're now looking to bring in a Senior / Principal Full Stack Engineer to play a key role in shaping the product and technical direction as they scale. This is a hands-on role with real ownership, ideal for someone who enjoys building high-quality systems, influencing architecture, and working closely with product. What You'll Be Doing Building and scaling a modern, high-performance SaaS platform Working across the full stack with a strong emphasis on clean architecture and scalability Collaborating with product and leadership to translate ideas into technical solutions Designing and developing robust APIs and backend services Leading technical initiatives and mentoring other engineers Contributing to CI/CD pipelines and cloud-based infrastructure Tech Stack Backend: Java, Spring Boot (Data, Security, MVC) Frontend: Vue.js Cloud & DevOps: AWS, CI/CD pipelines Data: SQL, database design & optimisation Architecture: RESTful APIs, scalable system design What They're Looking For Strong experience in Java + Spring Boot at a senior level Deep expertise in Vue.js and modern frontend development Proven experience building scalable, production-grade systems Solid understanding of API design, databases, and cloud environments Ability to take high-level requirements and break them down into technical delivery Experience mentoring engineers or leading technical projects Nice to have: Exposure to cybersecurity, data platforms, or complex enterprise systems Why This Role? Genuine ownership and impact on product direction High-calibre engineering environment Equity as part of the package Hybrid Working within the UK Opportunity to work on a technically challenging, meaningful platform Process If this sounds like something you'd be open to exploring, apply directly or drop me a message for more details.
AI Cloud Engineer Inside IR35 - 4 days onsite We are seeking a hands-on AI Cloud Engineer to join a high-performing Corporate Technology team within a global investment banking environment. This role sits within Digital Engineering Services and is focused on building secure, scalable cloud and AI solutions that support enterprise-wide innovation. You will join a small, dynamic engineering team working across Azure, Oracle Cloud, and AWS , helping to design and deliver next-generation cloud patterns, automation frameworks, and AI-enabled solutions in a highly regulated environment. This is a unique role at the intersection of cloud engineering, software development, and AI enablement . You will design and implement robust cloud and AI solutions, develop reusable automation, and help establish governance controls for responsible AI adoption. The position is ideal for an engineer with deep Azure expertise, strong Python skills, and a passion for building secure and innovative solutions in financial services. Key Responsibilities Design and implement cloud and AI-ready solutions across Azure (primary), Oracle Cloud, and AWS. Develop automation, integrations, and bespoke engineering solutions using Python and PowerShell. Build and maintain REST APIs and identity-aware service patterns. Implement Infrastructure as Code using Bicep, ARM, and Terraform. Deliver BAU support and project work for cloud and AI workloads. Create and maintain CI/CD pipelines using GitHub Actions or Azure DevOps. Implement governance controls and AI guardrails aligned to regulatory and security requirements. Collaborate with infrastructure, application, and security teams to improve platform stability, compliance, and cost efficiency. Produce architecture and engineering documentation to support repeatable solution patterns. Essential Skills & Experience Strong hands-on Azure engineering experience. Excellent Python and PowerShell scripting skills. Proven experience with Infrastructure as Code (Bicep, ARM, Terraform). Experience developing REST APIs and service integrations. Strong understanding of Entra ID, OAuth2, token-based authentication, and identity-driven design. Practical experience with Azure OpenAI and OpenAI SDKs. Solid knowledge of IAM, cloud security, governance, and compliance. Experience with CI/CD pipelines and modern DevOps practices. Azure certification (AZ-104 or higher). Bachelor's degree or equivalent commercial experience. Desirable Skills Exposure to Oracle Cloud and/or AWS. Experience with Azure API Management or similar API gateways. Knowledge of Responsible AI, AI governance, and model lifecycle controls. Experience with embeddings, vectorisation, and AI orchestration frameworks. Financial services or other highly regulated industry experience. AI Cloud Engineer Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Jun 11, 2026
Contractor
AI Cloud Engineer Inside IR35 - 4 days onsite We are seeking a hands-on AI Cloud Engineer to join a high-performing Corporate Technology team within a global investment banking environment. This role sits within Digital Engineering Services and is focused on building secure, scalable cloud and AI solutions that support enterprise-wide innovation. You will join a small, dynamic engineering team working across Azure, Oracle Cloud, and AWS , helping to design and deliver next-generation cloud patterns, automation frameworks, and AI-enabled solutions in a highly regulated environment. This is a unique role at the intersection of cloud engineering, software development, and AI enablement . You will design and implement robust cloud and AI solutions, develop reusable automation, and help establish governance controls for responsible AI adoption. The position is ideal for an engineer with deep Azure expertise, strong Python skills, and a passion for building secure and innovative solutions in financial services. Key Responsibilities Design and implement cloud and AI-ready solutions across Azure (primary), Oracle Cloud, and AWS. Develop automation, integrations, and bespoke engineering solutions using Python and PowerShell. Build and maintain REST APIs and identity-aware service patterns. Implement Infrastructure as Code using Bicep, ARM, and Terraform. Deliver BAU support and project work for cloud and AI workloads. Create and maintain CI/CD pipelines using GitHub Actions or Azure DevOps. Implement governance controls and AI guardrails aligned to regulatory and security requirements. Collaborate with infrastructure, application, and security teams to improve platform stability, compliance, and cost efficiency. Produce architecture and engineering documentation to support repeatable solution patterns. Essential Skills & Experience Strong hands-on Azure engineering experience. Excellent Python and PowerShell scripting skills. Proven experience with Infrastructure as Code (Bicep, ARM, Terraform). Experience developing REST APIs and service integrations. Strong understanding of Entra ID, OAuth2, token-based authentication, and identity-driven design. Practical experience with Azure OpenAI and OpenAI SDKs. Solid knowledge of IAM, cloud security, governance, and compliance. Experience with CI/CD pipelines and modern DevOps practices. Azure certification (AZ-104 or higher). Bachelor's degree or equivalent commercial experience. Desirable Skills Exposure to Oracle Cloud and/or AWS. Experience with Azure API Management or similar API gateways. Knowledge of Responsible AI, AI governance, and model lifecycle controls. Experience with embeddings, vectorisation, and AI orchestration frameworks. Financial services or other highly regulated industry experience. AI Cloud Engineer Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Cloud and Systems Engineer (Azure) - London/ Hybrid working We are working with an established Global Law Firm as they expand their London Technology support team due to continued growth. The Firm are proud to boast a Global revenue of in excess of $1 Billion USD, the London office is just one of 11 international offices. In addition to the salary offered, there are a raft of generous benefits extended to their employees. This is a hands-on role working as part of a team maintaining hybrid infrastructure. The role includes assisting in the design, architecture, and supporting the operation of their services which incorporates the Azure platform. Some of your duties will include: Deploying and operating Azure IaaS/PaaS services ie virtual machines, storage - Azure Files/File Shares, and platform services Designing Azure landing zones and multi-subscription architecture Planning and executing infrastructure movement techniques (VMware/Windows/Linux), including application migrations, into Azure, by discovery, dependency mapping, landing zone readiness, cutover planning, and decommissioning Providing architectural direction and hands-on engineering for secure hybrid infrastructure across Azure, 3rd party SaaS platforms, and on-premises systems Creating and executing cloud computing strategies by designing, developing, and managing cloud infrastructure and assets You will own core Azure networking design and operations, including vNETs/subnets, routing, peering, private endpoints, NSGs, and network security patterns Managing hybrid connectivity concepts Supporting hybrid identity across Active Directory and Microsoft Entra ID, including Conditional Access and identity governance controls Implementing and maintaining Azure security and governance controls Capacity planning of enterprise datacentre infrastructure Essential skills and experience required: A minimum of 5 years' experience designing, deploying, and operating Microsoft Azure in a large-scale environment - experience in the professional services field would be preferred but other large scale private sector enterprises could also be considered Proven experience in managing cloud solutions (IaaS, PaaS, and SaaS) Experience with Infrastructure-as-Code (IaC) and automation Evidence of having supported Microsoft 365 services if you are familiar with Purview concepts such as eDiscovery, retention this would also be welcomed Familiarity with Microsoft Fabric and AI-enabled productivity/security concepts and their governance implications Relevant cloud certifications such as Azure Administrator, Azure Solutions Architect Expert If you also have AWS experience in addition to Azure this would be beneficial, but not essential, your proven Azure experience is key
Jun 11, 2026
Full time
Cloud and Systems Engineer (Azure) - London/ Hybrid working We are working with an established Global Law Firm as they expand their London Technology support team due to continued growth. The Firm are proud to boast a Global revenue of in excess of $1 Billion USD, the London office is just one of 11 international offices. In addition to the salary offered, there are a raft of generous benefits extended to their employees. This is a hands-on role working as part of a team maintaining hybrid infrastructure. The role includes assisting in the design, architecture, and supporting the operation of their services which incorporates the Azure platform. Some of your duties will include: Deploying and operating Azure IaaS/PaaS services ie virtual machines, storage - Azure Files/File Shares, and platform services Designing Azure landing zones and multi-subscription architecture Planning and executing infrastructure movement techniques (VMware/Windows/Linux), including application migrations, into Azure, by discovery, dependency mapping, landing zone readiness, cutover planning, and decommissioning Providing architectural direction and hands-on engineering for secure hybrid infrastructure across Azure, 3rd party SaaS platforms, and on-premises systems Creating and executing cloud computing strategies by designing, developing, and managing cloud infrastructure and assets You will own core Azure networking design and operations, including vNETs/subnets, routing, peering, private endpoints, NSGs, and network security patterns Managing hybrid connectivity concepts Supporting hybrid identity across Active Directory and Microsoft Entra ID, including Conditional Access and identity governance controls Implementing and maintaining Azure security and governance controls Capacity planning of enterprise datacentre infrastructure Essential skills and experience required: A minimum of 5 years' experience designing, deploying, and operating Microsoft Azure in a large-scale environment - experience in the professional services field would be preferred but other large scale private sector enterprises could also be considered Proven experience in managing cloud solutions (IaaS, PaaS, and SaaS) Experience with Infrastructure-as-Code (IaC) and automation Evidence of having supported Microsoft 365 services if you are familiar with Purview concepts such as eDiscovery, retention this would also be welcomed Familiarity with Microsoft Fabric and AI-enabled productivity/security concepts and their governance implications Relevant cloud certifications such as Azure Administrator, Azure Solutions Architect Expert If you also have AWS experience in addition to Azure this would be beneficial, but not essential, your proven Azure experience is key
I am currently working with a London-based Financial Services client who are actively seeking a Principal Java Developer with extensive experience in the Risk and Market Data space. What you'll need to succeed : Strong server-side Java Development experience in a lead role working on Risk and Market Data platforms Strong investment banking experience Strong experience working with Quants Good understanding of data engineering principals Strong cloud experience, ideally with AWS What you'll get in return : Initial 6-month contract with extensions Up to £950pd Umbrella London-based hybrid working What you need to do now :If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Jun 11, 2026
Contractor
I am currently working with a London-based Financial Services client who are actively seeking a Principal Java Developer with extensive experience in the Risk and Market Data space. What you'll need to succeed : Strong server-side Java Development experience in a lead role working on Risk and Market Data platforms Strong investment banking experience Strong experience working with Quants Good understanding of data engineering principals Strong cloud experience, ideally with AWS What you'll get in return : Initial 6-month contract with extensions Up to £950pd Umbrella London-based hybrid working What you need to do now :If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Role: Informatica IDMC Developer Type: PERM Location: London, UK Working Model: Hybrid (2-3 days per week in office) Salary: 50K - 60K GBP/Annum We are seeking a highly skilled Senior IDMC Developer to design and implement robust cloud data integration solutions using Informatica IDMC (CDI and CAI). Key Requirements: 6-8 years of ETL/Data Integration experience. 2-3 years of hands-on experience with Informatica IDMC/IICS (Mandatory skill). Proven experience integrating with cloud platforms (AWS, Azure, GCP) and data warehouses like Snowflake or Databricks. Bachelor's degree in Computer Science, IT, or a related discipline. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jun 11, 2026
Full time
Role: Informatica IDMC Developer Type: PERM Location: London, UK Working Model: Hybrid (2-3 days per week in office) Salary: 50K - 60K GBP/Annum We are seeking a highly skilled Senior IDMC Developer to design and implement robust cloud data integration solutions using Informatica IDMC (CDI and CAI). Key Requirements: 6-8 years of ETL/Data Integration experience. 2-3 years of hands-on experience with Informatica IDMC/IICS (Mandatory skill). Proven experience integrating with cloud platforms (AWS, Azure, GCP) and data warehouses like Snowflake or Databricks. Bachelor's degree in Computer Science, IT, or a related discipline. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Senior Data Engineer Location: Wakefield or Manchester - Flexible hybrid working Salary: £70,000-£80,000 + benefits Elevation Tech & Transformation are exclusively working with a growing, PE-backed business that is building out its internal data capability and investing heavily in a modern cloud data platform. This is a brilliant opportunity for a Senior Data Engineer who wants more than just another pipeline-building role. You'll be joining at a key stage of the journey, helping bring data engineering capability in-house, shape standards, improve governance and build a platform that genuinely supports better reporting, insight and decision-making across a complex group. The business is made up of multiple operating companies, each with its own systems, processes and ways of working. The challenge is pulling that data together into a common platform and turning it into something useful, trusted and commercially valuable. You'll need to be technically strong, but this role is just as much about mindset. The right person will be comfortable working with stakeholders who may not fully understand their systems or data, asking the right questions, digging into problems and translating messy business requirements into practical engineering solutions. What you'll be doing Building and improving cloud-based data pipelines and data models Supporting the development of a modern data platform using Google Cloud Platform and BigQuery Working with stakeholders across the business to understand data sources, reporting needs and commercial priorities Helping bring outsourced data engineering capability in-house Creating better structure around change control, deployment, CI/CD and engineering standards Supporting data governance, security and quality as new sources are onboarded Identifying quick wins while also protecting the long-term quality of the platform Working closely with BI, reporting, integration and technology teams What we're looking for Strong data engineering experience in a cloud environment Experience with GCP, AWS or Azure Strong SQL and ideally Python Good understanding of data warehousing, data modelling and reporting/insight platforms Experience working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance best practice with commercial delivery GCP and BigQuery experience would be highly beneficial, but strong cloud data engineers from AWS or Azure backgrounds will also be considered if you're interested in moving into GCP. Why this role? This is a chance to join a business where data is genuinely on the board agenda. The programme is highly visible, CEO-sponsored and seen as a key part of the company's future growth. You'll have the opportunity to shape how the platform develops, influence standards, work across a varied group of businesses and see the impact of your work quickly. It would suit someone who enjoys building, problem-solving and improving things - not someone who wants a heavily governed corporate environment where every decision has already been made. Benefits £70,000-£80,000 salary Hybrid working across either Manchester or Wakefield 25 days holiday plus bank holidays Salary sacrifice pension scheme Life assurance Employee discounts across retail, tech, travel, gyms and more Supportive team culture with plenty of scope to learn and develop Interested? Apply today or contact Helenna Bell for further information and to apply.
Jun 11, 2026
Full time
Senior Data Engineer Location: Wakefield or Manchester - Flexible hybrid working Salary: £70,000-£80,000 + benefits Elevation Tech & Transformation are exclusively working with a growing, PE-backed business that is building out its internal data capability and investing heavily in a modern cloud data platform. This is a brilliant opportunity for a Senior Data Engineer who wants more than just another pipeline-building role. You'll be joining at a key stage of the journey, helping bring data engineering capability in-house, shape standards, improve governance and build a platform that genuinely supports better reporting, insight and decision-making across a complex group. The business is made up of multiple operating companies, each with its own systems, processes and ways of working. The challenge is pulling that data together into a common platform and turning it into something useful, trusted and commercially valuable. You'll need to be technically strong, but this role is just as much about mindset. The right person will be comfortable working with stakeholders who may not fully understand their systems or data, asking the right questions, digging into problems and translating messy business requirements into practical engineering solutions. What you'll be doing Building and improving cloud-based data pipelines and data models Supporting the development of a modern data platform using Google Cloud Platform and BigQuery Working with stakeholders across the business to understand data sources, reporting needs and commercial priorities Helping bring outsourced data engineering capability in-house Creating better structure around change control, deployment, CI/CD and engineering standards Supporting data governance, security and quality as new sources are onboarded Identifying quick wins while also protecting the long-term quality of the platform Working closely with BI, reporting, integration and technology teams What we're looking for Strong data engineering experience in a cloud environment Experience with GCP, AWS or Azure Strong SQL and ideally Python Good understanding of data warehousing, data modelling and reporting/insight platforms Experience working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance best practice with commercial delivery GCP and BigQuery experience would be highly beneficial, but strong cloud data engineers from AWS or Azure backgrounds will also be considered if you're interested in moving into GCP. Why this role? This is a chance to join a business where data is genuinely on the board agenda. The programme is highly visible, CEO-sponsored and seen as a key part of the company's future growth. You'll have the opportunity to shape how the platform develops, influence standards, work across a varied group of businesses and see the impact of your work quickly. It would suit someone who enjoys building, problem-solving and improving things - not someone who wants a heavily governed corporate environment where every decision has already been made. Benefits £70,000-£80,000 salary Hybrid working across either Manchester or Wakefield 25 days holiday plus bank holidays Salary sacrifice pension scheme Life assurance Employee discounts across retail, tech, travel, gyms and more Supportive team culture with plenty of scope to learn and develop Interested? Apply today or contact Helenna Bell for further information and to apply.
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Jun 11, 2026
Full time
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Full Stack Engineer (TDD / C# / JavaScript) We are hiring a Full Stack Software Engineer with a strong test-driven development (TDD) background to help build the next generation of a mission-critical cybersecurity and communications platform used globally. This is a hands-on role focused on designing and delivering partner API integrations across a complex security ecosystem - including endpoint protection, network security, user awareness tooling, and monitoring systems. You'll work as part of a collaborative product team alongside full stack and front-end developers, supported by QA and DevOps, reporting into engineering leadership. Why This Role Matters The next-generation platform will provide customers with a unified view of security across distributed environments. As integrations expand, maintaining a high bar for quality, reliability, and test coverage is critical. This role will also play a key part in strengthening TDD practices across the team - leading through code and delivery. What You'll Do Design and build API integrations across a cybersecurity-focused product stack Deliver clean, maintainable full stack solutions using .NET and modern JavaScript frameworks Lead by example in test-driven development practices Integrate third-party systems using REST APIs, OAuth2, webhooks, and resilient patterns Contribute to a scalable, observable integration layer Collaborate with Product, QA, and DevOps to deliver high-quality releases Use AI-assisted development tools as part of your daily workflow Requirements (Must Have) Experience with C# / .NET Core Strong experience with ASP.NET Core / Web API Modern JavaScript / TypeScript experience Experience with a component-based SPA framework (e.g. Vue, React, or Angular) Proven, hands-on test-driven development experience Strong experience integrating third-party APIs (REST, OAuth2, webhooks, retries, rate limiting) Solid SQL skills (e.g. MariaDB or MySQL) Experience with Git workflows (branching, pull requests, code reviews) Regular user of AI-assisted development tools (e.g. Claude Code, Cursor, Copilot or similar) Strong ownership mindset and commitment to quality Nice to Have Commercial experience integrating AI APIs (e.g. Claude, Bedrock, OpenAI or similar) Experience with AWS (e.g. EC2, RDS, Lambda, S3) Microservices or distributed systems experience Familiarity with iterative product development methodologies Awareness of secure-by-design principles (e.g. ISO 27001) Background in SaaS or cybersecurity environments Benefits Hybrid working Excellent career development / Training budget Flexible working If you take pride in writing well-tested, production-grade code and want to contribute to building critical cybersecurity software used at global scale, we'd love to hear from you. Full Stack Engineer (TDD / C# / JavaScript)
Jun 11, 2026
Full time
Full Stack Engineer (TDD / C# / JavaScript) We are hiring a Full Stack Software Engineer with a strong test-driven development (TDD) background to help build the next generation of a mission-critical cybersecurity and communications platform used globally. This is a hands-on role focused on designing and delivering partner API integrations across a complex security ecosystem - including endpoint protection, network security, user awareness tooling, and monitoring systems. You'll work as part of a collaborative product team alongside full stack and front-end developers, supported by QA and DevOps, reporting into engineering leadership. Why This Role Matters The next-generation platform will provide customers with a unified view of security across distributed environments. As integrations expand, maintaining a high bar for quality, reliability, and test coverage is critical. This role will also play a key part in strengthening TDD practices across the team - leading through code and delivery. What You'll Do Design and build API integrations across a cybersecurity-focused product stack Deliver clean, maintainable full stack solutions using .NET and modern JavaScript frameworks Lead by example in test-driven development practices Integrate third-party systems using REST APIs, OAuth2, webhooks, and resilient patterns Contribute to a scalable, observable integration layer Collaborate with Product, QA, and DevOps to deliver high-quality releases Use AI-assisted development tools as part of your daily workflow Requirements (Must Have) Experience with C# / .NET Core Strong experience with ASP.NET Core / Web API Modern JavaScript / TypeScript experience Experience with a component-based SPA framework (e.g. Vue, React, or Angular) Proven, hands-on test-driven development experience Strong experience integrating third-party APIs (REST, OAuth2, webhooks, retries, rate limiting) Solid SQL skills (e.g. MariaDB or MySQL) Experience with Git workflows (branching, pull requests, code reviews) Regular user of AI-assisted development tools (e.g. Claude Code, Cursor, Copilot or similar) Strong ownership mindset and commitment to quality Nice to Have Commercial experience integrating AI APIs (e.g. Claude, Bedrock, OpenAI or similar) Experience with AWS (e.g. EC2, RDS, Lambda, S3) Microservices or distributed systems experience Familiarity with iterative product development methodologies Awareness of secure-by-design principles (e.g. ISO 27001) Background in SaaS or cybersecurity environments Benefits Hybrid working Excellent career development / Training budget Flexible working If you take pride in writing well-tested, production-grade code and want to contribute to building critical cybersecurity software used at global scale, we'd love to hear from you. Full Stack Engineer (TDD / C# / JavaScript)
Lead Software Engineer - MongoDB / Node.js / JavaScript As a Lead Engineer, you'll play a pivotal role in shaping the technical direction of the product. You'll guide a talented squad of engineers, drive architectural decisions, and deliver scalable backend systems that directly impact thousands of users. This is a hands-on leadership role where you'll balance technical excellence with mentorship, collaboration, and strategic thinking. What You'll Be Doing Technical Leadership Set the technical direction and lead architectural decision-making Mentor and support junior and senior engineers Conduct code reviews and uphold engineering best practices Backend Engineering Build and maintain scalable backend services and RESTful APIs Design and optimise MongoDB database solutions Improve and maintain existing backend infrastructure Troubleshoot production issues and implement robust solutions Collaboration & Delivery Work closely with cross-functional teams to deliver meaningful customer outcomes Participate in technical interviews and help grow the engineering team Drive improvements in processes, tooling, and development practices Core Technical Skills You'll thrive if you have experience with: MongoDB (data modelling, indexing, aggregation, performance tuning) Node.js and the wider JavaScript/TypeScript ecosystem Express.js and/or Fastify RESTful API design AWS or similar cloud platforms Microservices architecture Testing frameworks (Vitest, Jest, Mocha, etc.) CI/CD pipelines & DevOps practices GitHub workflows Observability tools (e.g., DataDog) Docker / Kubernetes Tech Stack You'll Be Working With Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have - AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. You'll enjoy: Remote-first working with offices in London, Manchester Flexible hours 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days Option to purchase an extra week off Interested? Please Click Apply Now!
Jun 11, 2026
Full time
Lead Software Engineer - MongoDB / Node.js / JavaScript As a Lead Engineer, you'll play a pivotal role in shaping the technical direction of the product. You'll guide a talented squad of engineers, drive architectural decisions, and deliver scalable backend systems that directly impact thousands of users. This is a hands-on leadership role where you'll balance technical excellence with mentorship, collaboration, and strategic thinking. What You'll Be Doing Technical Leadership Set the technical direction and lead architectural decision-making Mentor and support junior and senior engineers Conduct code reviews and uphold engineering best practices Backend Engineering Build and maintain scalable backend services and RESTful APIs Design and optimise MongoDB database solutions Improve and maintain existing backend infrastructure Troubleshoot production issues and implement robust solutions Collaboration & Delivery Work closely with cross-functional teams to deliver meaningful customer outcomes Participate in technical interviews and help grow the engineering team Drive improvements in processes, tooling, and development practices Core Technical Skills You'll thrive if you have experience with: MongoDB (data modelling, indexing, aggregation, performance tuning) Node.js and the wider JavaScript/TypeScript ecosystem Express.js and/or Fastify RESTful API design AWS or similar cloud platforms Microservices architecture Testing frameworks (Vitest, Jest, Mocha, etc.) CI/CD pipelines & DevOps practices GitHub workflows Observability tools (e.g., DataDog) Docker / Kubernetes Tech Stack You'll Be Working With Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have - AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. You'll enjoy: Remote-first working with offices in London, Manchester Flexible hours 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days Option to purchase an extra week off Interested? Please Click Apply Now!
Lead Software Engineer (Java / Typescript) We are looking for a highly skilled Lead Software Engineer to take ownership of one of our clients core platform systems. In this pivotal role, you will guide a talented engineering team, ensuring the stability, performance, and ongoing evolution of a mission-critical product area. You'll balance technical leadership with hands-on engineering, driving new feature development while continuously enhancing the existing platform. Collaborating closely with architects, product stakeholders, and cross-functional teams, you will help shape the technical roadmap and ensure our systems remain scalable, reliable, and innovative. Key Responsibilities Technical Leadership: Provide technical direction across the software development lifecycle, ensuring alignment with internal standards and best practices. Hands-On Coding: Contribute directly to the codebase and support sprint goals with high-quality engineering work. Team Leadership & Coaching: Manage and mentor a small team of software engineers, fostering collaboration, growth, and engineering excellence. Skills, Knowledge & Expertise Strong Software Development Background, with proven proficiency in Java and TypeScript. Commercial AWS Experience, including solid understanding of core cloud services. NoSQL Expertise, with hands-on experience in at least one NoSQL technology (Cassandra experience is a plus). Search Technologies: Understanding of search indexing and practical exposure to at least one search platform (Solr experience beneficial). CI/CD Proficiency: Deep understanding of the software development lifecycle, automation best practices, and modern CI/CD tooling. Scalable System Design: Experience designing, building, and maintaining highly available, scalable systems. API Design: Familiarity with best practices for REST and GraphQL API design. Education & Experience Experience working with complex, mission-critical systems. Previous experience in a SaaS environment is a plus. Lead Software Engineer (Java / Typescript)
Jun 11, 2026
Full time
Lead Software Engineer (Java / Typescript) We are looking for a highly skilled Lead Software Engineer to take ownership of one of our clients core platform systems. In this pivotal role, you will guide a talented engineering team, ensuring the stability, performance, and ongoing evolution of a mission-critical product area. You'll balance technical leadership with hands-on engineering, driving new feature development while continuously enhancing the existing platform. Collaborating closely with architects, product stakeholders, and cross-functional teams, you will help shape the technical roadmap and ensure our systems remain scalable, reliable, and innovative. Key Responsibilities Technical Leadership: Provide technical direction across the software development lifecycle, ensuring alignment with internal standards and best practices. Hands-On Coding: Contribute directly to the codebase and support sprint goals with high-quality engineering work. Team Leadership & Coaching: Manage and mentor a small team of software engineers, fostering collaboration, growth, and engineering excellence. Skills, Knowledge & Expertise Strong Software Development Background, with proven proficiency in Java and TypeScript. Commercial AWS Experience, including solid understanding of core cloud services. NoSQL Expertise, with hands-on experience in at least one NoSQL technology (Cassandra experience is a plus). Search Technologies: Understanding of search indexing and practical exposure to at least one search platform (Solr experience beneficial). CI/CD Proficiency: Deep understanding of the software development lifecycle, automation best practices, and modern CI/CD tooling. Scalable System Design: Experience designing, building, and maintaining highly available, scalable systems. API Design: Familiarity with best practices for REST and GraphQL API design. Education & Experience Experience working with complex, mission-critical systems. Previous experience in a SaaS environment is a plus. Lead Software Engineer (Java / Typescript)
Network Architect (SC Cleared) Location: Remote Duration: 6 Months Contract + Extension Rate: £50.00 to £70.00 per hour (Inside IR35) Security: Active SC Clearance Required A major global IT systems integrator is seeking an experienced Network Architect to support a high-profile, secure public sector transition project. In this role, you will act as the key design authority, translating complex client requirements into robust, high-quality network infrastructure. This is highly collaborative, where you will bridge the gap between initial concepts and technical execution. Key Responsibilities Author and deliver comprehensive High-Level Design (HLD) and Low-Level Design (LLD) documentation, guiding them through internal and stakeholder approval processes. Lead network projects from a design perspective, ensuring all technical deliverables are met with precision. Work closely with Network Engineers and the wider infrastructure team to coordinate the successful deployment of your designs. Provide technical leadership, assist team members with architectural issues, and help compile hardware Bills of Materials (BoM). Essential Skills Network Design: Proven track record in architecture and design delivery for enterprise routing, switching, and firewalls. Core Certification: Minimum CCNP level (or equivalent) across major enterprise networking vendors. Firewall Expertise: Hands-on design experience with next-generation firewall platforms (e.g., Palo Alto, Fortinet, or Checkpoint). Technical Documentation: Extensive experience producing high-quality architectural designs, blueprints, and implementation plans for large-scale environments Desirable Skills Exposure to cloud technologies (AWS, MS Azure, or Hybrid Cloud environments). Experience with modern Software-Defined Networking (SDN) or Data Centre fabric overlays. Due to the secure nature of this account, candidates must hold active SC clearance Remote 6 Months Contract + Extension £50.00 to £70.00 per hour Inside IR35 If this seems of interest to you then please apply directly to the AD or send your CV to Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Jun 11, 2026
Contractor
Network Architect (SC Cleared) Location: Remote Duration: 6 Months Contract + Extension Rate: £50.00 to £70.00 per hour (Inside IR35) Security: Active SC Clearance Required A major global IT systems integrator is seeking an experienced Network Architect to support a high-profile, secure public sector transition project. In this role, you will act as the key design authority, translating complex client requirements into robust, high-quality network infrastructure. This is highly collaborative, where you will bridge the gap between initial concepts and technical execution. Key Responsibilities Author and deliver comprehensive High-Level Design (HLD) and Low-Level Design (LLD) documentation, guiding them through internal and stakeholder approval processes. Lead network projects from a design perspective, ensuring all technical deliverables are met with precision. Work closely with Network Engineers and the wider infrastructure team to coordinate the successful deployment of your designs. Provide technical leadership, assist team members with architectural issues, and help compile hardware Bills of Materials (BoM). Essential Skills Network Design: Proven track record in architecture and design delivery for enterprise routing, switching, and firewalls. Core Certification: Minimum CCNP level (or equivalent) across major enterprise networking vendors. Firewall Expertise: Hands-on design experience with next-generation firewall platforms (e.g., Palo Alto, Fortinet, or Checkpoint). Technical Documentation: Extensive experience producing high-quality architectural designs, blueprints, and implementation plans for large-scale environments Desirable Skills Exposure to cloud technologies (AWS, MS Azure, or Hybrid Cloud environments). Experience with modern Software-Defined Networking (SDN) or Data Centre fabric overlays. Due to the secure nature of this account, candidates must hold active SC clearance Remote 6 Months Contract + Extension £50.00 to £70.00 per hour Inside IR35 If this seems of interest to you then please apply directly to the AD or send your CV to Randstad Technologies is acting as an Employment Business in relation to this vacancy.
I am recruiting for a BI / AWS Engineer to work on a remote basis with occasional travel to London or Swindon (once a month). The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract. I am searching for an experienced Business Intelligence Engineer / AWS Data Engineer to support the development of a modern data platform and contribute to emerging AI-driven initiatives. This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure / tooling exposure (e.g. Terraform, APIs, CI/CD beneficial) Experience working in Business Intelligence / analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI / prompt engineering concepts If your experience matches the above requirements please apply ASAP.
Jun 11, 2026
Contractor
I am recruiting for a BI / AWS Engineer to work on a remote basis with occasional travel to London or Swindon (once a month). The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract. I am searching for an experienced Business Intelligence Engineer / AWS Data Engineer to support the development of a modern data platform and contribute to emerging AI-driven initiatives. This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure / tooling exposure (e.g. Terraform, APIs, CI/CD beneficial) Experience working in Business Intelligence / analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI / prompt engineering concepts If your experience matches the above requirements please apply ASAP.
Principal Engineer / Lead Full Stack Engineer Remote - Hybrid. UK Only. 4-6 office visits per year. TypeScript Node.js Microservices SaaS Platform We're partnering with a high-growth UK SaaS business that is investing heavily in its engineering function and looking for an experienced Principal or Lead Engineer to help shape the future of its customer-facing platforms. This is a hands-on technical leadership role where you'll work closely with Product, Engineering and Business stakeholders to design, build and scale modern software solutions used by thousands of customers. Working within a mature engineering environment, you'll help drive architectural decisions, influence engineering standards, mentor developers and lead the delivery of high-quality software across a modern cloud-based platform. Tech Stack TypeScript js & Microservices js Redis SQL Server & SingleStore AWS CI/CD & DevSecOps What You'll Be Doing Leading solution design, architecture and technical decision-making Collaborating with Product teams to shape requirements and delivery plans Building and deploying production software in a fast-paced environment Driving engineering best practices, code quality and maintainability Supporting systems in production and improving platform performance Acting as a senior technical leader within an AI-enabled engineering environment What We're Looking For Strong commercial experience with TypeScript and modern JavaScript development Previous experience in a Staff Engineer, Principal Engineer, Lead Engineer or Senior Technical Leadership role Experience building and scaling SaaS or product-led platforms Strong understanding of software architecture, design patterns and clean code principles Experience working in cloud-native, CI/CD and DevSecOps environments Passion for engineering excellence, mentoring others and solving complex technical challenges Interest in AI-assisted software development and modern engineering practices What's On Offer Competitive salary ( 80k- 100k) plus benefits Flexible remote-first working with limited onsite requirements Significant technical influence across products and platform direction Modern engineering culture focused on quality, innovation and continuous improvement Opportunity to join a successful and growing UK technology company at an exciting stage of growth For more information, please contact Spectrum IT Recruitment. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jun 11, 2026
Full time
Principal Engineer / Lead Full Stack Engineer Remote - Hybrid. UK Only. 4-6 office visits per year. TypeScript Node.js Microservices SaaS Platform We're partnering with a high-growth UK SaaS business that is investing heavily in its engineering function and looking for an experienced Principal or Lead Engineer to help shape the future of its customer-facing platforms. This is a hands-on technical leadership role where you'll work closely with Product, Engineering and Business stakeholders to design, build and scale modern software solutions used by thousands of customers. Working within a mature engineering environment, you'll help drive architectural decisions, influence engineering standards, mentor developers and lead the delivery of high-quality software across a modern cloud-based platform. Tech Stack TypeScript js & Microservices js Redis SQL Server & SingleStore AWS CI/CD & DevSecOps What You'll Be Doing Leading solution design, architecture and technical decision-making Collaborating with Product teams to shape requirements and delivery plans Building and deploying production software in a fast-paced environment Driving engineering best practices, code quality and maintainability Supporting systems in production and improving platform performance Acting as a senior technical leader within an AI-enabled engineering environment What We're Looking For Strong commercial experience with TypeScript and modern JavaScript development Previous experience in a Staff Engineer, Principal Engineer, Lead Engineer or Senior Technical Leadership role Experience building and scaling SaaS or product-led platforms Strong understanding of software architecture, design patterns and clean code principles Experience working in cloud-native, CI/CD and DevSecOps environments Passion for engineering excellence, mentoring others and solving complex technical challenges Interest in AI-assisted software development and modern engineering practices What's On Offer Competitive salary ( 80k- 100k) plus benefits Flexible remote-first working with limited onsite requirements Significant technical influence across products and platform direction Modern engineering culture focused on quality, innovation and continuous improvement Opportunity to join a successful and growing UK technology company at an exciting stage of growth For more information, please contact Spectrum IT Recruitment. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
