Location: Glasgow Head Office Full time, permanent role (37.5 hours per week) JOB PURPOSE: This role will be responsible for driving the design, architecture and delivery of AI-powered solutions across the group. It will be critical in implementing production-grade systems that leverage LLMs, with a focus on reliability and cost-aware deployment. As a Lead, this role will bridge cutting-edge research and production engineering - setting technical direction, mentoring a high-performing team, and ensuring AI solutions are robust, scalable, and responsible. PRINCIPAL TASKS AND RESPONSIBILITIES Design and implement secure and scalable LLM-powered applications using modern Generative AI architectures Collaborate with product, data and ops team to identify the issues in hand and explore how AI can open up new ways of solving them Use AI coding assistants such as Claude Code or equivalent as part of day-to-day development workflows to improve efficiency, quality, and delivery speed Optimize performance for latency, cost, accuracy, security and reliability Ensure all software that is created is in line with the technical roadmap, development guidelines and security standards. Troubleshoot, debug, and resolve technical issues across the product. Ensure code reviews and automated tests to support quality assurance Participate in all meeting arounds Refinement, Planning and Delivery. As a Lead: Lead the architecture and end-to-end development of AI solutions, from prototyping to production Collaborate with the Product team to identify candidate use cases for AI, helping them understand the art of the possible with today's AI capabilities and where it can deliver real business value. Work closely with IT Governance and Cyber Security teams to ensure AI solutions are secure by design and that data is handled responsibly, ethically, and in line with organisational policies. Define technical standards, best practices, and engineering roadmaps for AI initiatives Provide technical leadership and mentor developers Stay current with advancements in AI, evaluate emerging technologies, assess their applicability to the product, and help shape the organisation's AI journey Own quality, reliability, and performance of AI systems including monitoring, testing, and observability Conduct security and architectural reviews, and foster a culture of engineering excellence Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders Evaluate and select AI frameworks, LLM providers, vector databases, and cloud infrastructure Champion true AI Engineering across the team, leveraging AI tools to move faster without sacrificing code quality, security, or maintainability Basic Behaviours: Ensure that continuous improvement is baked into everything we do. Support the development of a strong culture focused on transparency, collaboration, and high performance Make time to support other members of the team and answer questions Take responsibility of your personal objectives and those of the team. Take ownership of deadlines and releases for yourself and the team. Any quality issues of the software the team owns should be looked on as a temporary and unacceptable state of affairs. Every opportunity should be taken to rectify problems, in conjunction with the completion of team and individual objectives. Professional / Academic / Qualifications 5+ years experience in a development role (essential) Degree level qualification (desirable) Specific Knowledge AI Hands on experience with Gen AI and LLM's Experience with RAG, Prompt engineering, Evaluation techniques AI infrastructure (vector stores, embeddings, model serving) AI agent frameworks and orchestration Understanding of embeddings, vector search Claude Code or equivalent Secure AI solution design Responsible AI principles Demonstrable AI engineering skills Agentic Tooling (desirable) Knowledge of Facilities Management domain (desirable) Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering Typescript / Python / React / node js Microsoft .NET stack, SQL Server, NoSQL DB (eg Cosmos DB) REST API design and integration Design patterns and clean architecture GIT, Azure DevOps, CI/CD Pipelines, IaaC Demonstrated Behaviours Proactive, self-driven, and able to work independently or as part of a team Focused on outcomes rather than outputs Excellent verbal and written communication skills Pragmatic and flexible attitude Excellent interpersonal skills Attention to detail Mentoring/coaching skills
Jun 11, 2026
Full time
Location: Glasgow Head Office Full time, permanent role (37.5 hours per week) JOB PURPOSE: This role will be responsible for driving the design, architecture and delivery of AI-powered solutions across the group. It will be critical in implementing production-grade systems that leverage LLMs, with a focus on reliability and cost-aware deployment. As a Lead, this role will bridge cutting-edge research and production engineering - setting technical direction, mentoring a high-performing team, and ensuring AI solutions are robust, scalable, and responsible. PRINCIPAL TASKS AND RESPONSIBILITIES Design and implement secure and scalable LLM-powered applications using modern Generative AI architectures Collaborate with product, data and ops team to identify the issues in hand and explore how AI can open up new ways of solving them Use AI coding assistants such as Claude Code or equivalent as part of day-to-day development workflows to improve efficiency, quality, and delivery speed Optimize performance for latency, cost, accuracy, security and reliability Ensure all software that is created is in line with the technical roadmap, development guidelines and security standards. Troubleshoot, debug, and resolve technical issues across the product. Ensure code reviews and automated tests to support quality assurance Participate in all meeting arounds Refinement, Planning and Delivery. As a Lead: Lead the architecture and end-to-end development of AI solutions, from prototyping to production Collaborate with the Product team to identify candidate use cases for AI, helping them understand the art of the possible with today's AI capabilities and where it can deliver real business value. Work closely with IT Governance and Cyber Security teams to ensure AI solutions are secure by design and that data is handled responsibly, ethically, and in line with organisational policies. Define technical standards, best practices, and engineering roadmaps for AI initiatives Provide technical leadership and mentor developers Stay current with advancements in AI, evaluate emerging technologies, assess their applicability to the product, and help shape the organisation's AI journey Own quality, reliability, and performance of AI systems including monitoring, testing, and observability Conduct security and architectural reviews, and foster a culture of engineering excellence Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders Evaluate and select AI frameworks, LLM providers, vector databases, and cloud infrastructure Champion true AI Engineering across the team, leveraging AI tools to move faster without sacrificing code quality, security, or maintainability Basic Behaviours: Ensure that continuous improvement is baked into everything we do. Support the development of a strong culture focused on transparency, collaboration, and high performance Make time to support other members of the team and answer questions Take responsibility of your personal objectives and those of the team. Take ownership of deadlines and releases for yourself and the team. Any quality issues of the software the team owns should be looked on as a temporary and unacceptable state of affairs. Every opportunity should be taken to rectify problems, in conjunction with the completion of team and individual objectives. Professional / Academic / Qualifications 5+ years experience in a development role (essential) Degree level qualification (desirable) Specific Knowledge AI Hands on experience with Gen AI and LLM's Experience with RAG, Prompt engineering, Evaluation techniques AI infrastructure (vector stores, embeddings, model serving) AI agent frameworks and orchestration Understanding of embeddings, vector search Claude Code or equivalent Secure AI solution design Responsible AI principles Demonstrable AI engineering skills Agentic Tooling (desirable) Knowledge of Facilities Management domain (desirable) Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering Typescript / Python / React / node js Microsoft .NET stack, SQL Server, NoSQL DB (eg Cosmos DB) REST API design and integration Design patterns and clean architecture GIT, Azure DevOps, CI/CD Pipelines, IaaC Demonstrated Behaviours Proactive, self-driven, and able to work independently or as part of a team Focused on outcomes rather than outputs Excellent verbal and written communication skills Pragmatic and flexible attitude Excellent interpersonal skills Attention to detail Mentoring/coaching skills
AI Developer Job Type: Full-Time, Permanent Location: Reading, hybrid working arrangements, 3 days a week onsite. Hours: Monday to Friday, 37.5 hours per week Salary: Competitive, dependent on experience An excellent new opportunity for a hands-on AI Developer efficient with coding, AI & DevOps to be at the forefront of AI-powered software development. You will be part of a small, agile team dedicated to building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. This role is perfect for someone who thrives on understanding how things work, is not afraid to experiment, and wants to shape how to deliver AI solutions to clients and evolve internal capabilities. Day-to-day of the role: Key Delivery Responsibilities: Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals. Internal Development and Enablement Responsibilities: Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Required Skills & Qualifications: Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem-solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills - able to explain technical concepts to non-technical stakeholders. Desirable: Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive salary with progression potential. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday, and the option to buy more! Company pension scheme and health cash plan with free access to a confidential Employee Assistance Programme (EAP). Life assurance, cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Long service recognition, and social events. To apply for the AI Developer position, please submit your CV to be immediately considered.
Jun 11, 2026
Full time
AI Developer Job Type: Full-Time, Permanent Location: Reading, hybrid working arrangements, 3 days a week onsite. Hours: Monday to Friday, 37.5 hours per week Salary: Competitive, dependent on experience An excellent new opportunity for a hands-on AI Developer efficient with coding, AI & DevOps to be at the forefront of AI-powered software development. You will be part of a small, agile team dedicated to building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. This role is perfect for someone who thrives on understanding how things work, is not afraid to experiment, and wants to shape how to deliver AI solutions to clients and evolve internal capabilities. Day-to-day of the role: Key Delivery Responsibilities: Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals. Internal Development and Enablement Responsibilities: Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Required Skills & Qualifications: Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem-solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills - able to explain technical concepts to non-technical stakeholders. Desirable: Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive salary with progression potential. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday, and the option to buy more! Company pension scheme and health cash plan with free access to a confidential Employee Assistance Programme (EAP). Life assurance, cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Long service recognition, and social events. To apply for the AI Developer position, please submit your CV to be immediately considered.
Azure AI Cloud Engineer London (Hybrid): Onsite 4:1 WFH £635.63pd Umbrella Rate We're seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve their digital engineering capabilities. You will play a pivotal role in building the secure, scalable foundations that underpin critical banking services, transitioning from traditional cloud functions into a high-impact AI enablement powerhouse. In this hands-on role, you will design and develop bespoke cloud and AI solutions, primarily focusing on Azure while expanding into Oracle Cloud and AWS. You will be the bridge between platforms and software engineering, applying rigorous discipline to deliver automated, sustainable patterns that meet complex regulatory and security standards. Your Key Responsibilities Design & Deliver: Architect and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next-generation workloads. Secure AI Architecture: Develop and scale secure infrastructure architectures that allow applications to safely access both cloud-based backend services and on-premises data sources. Enforce Governance & Guardrails: Operationalise strict zero-trust governance controls, including robust API management structures to log every single user prompt and completion for full auditability. Engineering Excellence: Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity-aware solution patterns. Stakeholder Collaboration: Act as a credible technical bridge between business analysts and senior front-office teams (including electronic trading platforms). You will confidently take business requirements, map out constraints, and articulate complex technical limitations to non-technical stakeholders. Skills & Experience Required Production-Level Azure Infrastructure: Deep hands-on experience with core Azure services, PaaS, and Infrastructure-as-Code (Bicep, ARM, or Terraform). You must be hit-the-ground-running at a senior level; the team does not have the capacity to train on core Azure mechanics. AI Engineering (Beyond the Basics): Real-world enterprise experience designing and deploying solutions centred around agentic workflows, Retrieval-Augmented Generation (RAG), and vectorisation patterns, rather than purely self-taught or personal interest projects. Software Engineering & Tech Stack: High proficiency in Python and PowerShell for building automation frameworks, REST APIs, and identity flows. Production exposure to the OpenAI SDK, GPT models, and Palantir Foundry is highly desirable. Identity & Regulated Security: Exceptional understanding of Entra ID, IAM patterns, and implementing rigorous security controls. Experience within a highly regulated environment such as banking, insurance, or healthcare is essential. Qualifications: You should ideally hold an Azure certification (AZ-104 or higher) This is more than just an infrastructure role; it is a chance to influence a global cloud strategy and gain exposure to multi-cloud environments during a major AI transformation. If you thrive in a results-driven environment and want to make a tangible impact on the future of FinTech, we want to hear from you. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Cloud Engineer, AI Engineer, Azure Architect, Platform Engineer, DevOps Engineer, Python Developer, Azure OpenAI, Bicep, Terraform, Entra ID, Generative AI Integration, and FinTech Cloud Specialist. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd acts as an Employment Business in relation to this vacancy.
Jun 11, 2026
Contractor
Azure AI Cloud Engineer London (Hybrid): Onsite 4:1 WFH £635.63pd Umbrella Rate We're seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve their digital engineering capabilities. You will play a pivotal role in building the secure, scalable foundations that underpin critical banking services, transitioning from traditional cloud functions into a high-impact AI enablement powerhouse. In this hands-on role, you will design and develop bespoke cloud and AI solutions, primarily focusing on Azure while expanding into Oracle Cloud and AWS. You will be the bridge between platforms and software engineering, applying rigorous discipline to deliver automated, sustainable patterns that meet complex regulatory and security standards. Your Key Responsibilities Design & Deliver: Architect and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next-generation workloads. Secure AI Architecture: Develop and scale secure infrastructure architectures that allow applications to safely access both cloud-based backend services and on-premises data sources. Enforce Governance & Guardrails: Operationalise strict zero-trust governance controls, including robust API management structures to log every single user prompt and completion for full auditability. Engineering Excellence: Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity-aware solution patterns. Stakeholder Collaboration: Act as a credible technical bridge between business analysts and senior front-office teams (including electronic trading platforms). You will confidently take business requirements, map out constraints, and articulate complex technical limitations to non-technical stakeholders. Skills & Experience Required Production-Level Azure Infrastructure: Deep hands-on experience with core Azure services, PaaS, and Infrastructure-as-Code (Bicep, ARM, or Terraform). You must be hit-the-ground-running at a senior level; the team does not have the capacity to train on core Azure mechanics. AI Engineering (Beyond the Basics): Real-world enterprise experience designing and deploying solutions centred around agentic workflows, Retrieval-Augmented Generation (RAG), and vectorisation patterns, rather than purely self-taught or personal interest projects. Software Engineering & Tech Stack: High proficiency in Python and PowerShell for building automation frameworks, REST APIs, and identity flows. Production exposure to the OpenAI SDK, GPT models, and Palantir Foundry is highly desirable. Identity & Regulated Security: Exceptional understanding of Entra ID, IAM patterns, and implementing rigorous security controls. Experience within a highly regulated environment such as banking, insurance, or healthcare is essential. Qualifications: You should ideally hold an Azure certification (AZ-104 or higher) This is more than just an infrastructure role; it is a chance to influence a global cloud strategy and gain exposure to multi-cloud environments during a major AI transformation. If you thrive in a results-driven environment and want to make a tangible impact on the future of FinTech, we want to hear from you. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Cloud Engineer, AI Engineer, Azure Architect, Platform Engineer, DevOps Engineer, Python Developer, Azure OpenAI, Bicep, Terraform, Entra ID, Generative AI Integration, and FinTech Cloud Specialist. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd acts as an Employment Business in relation to this vacancy.
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.
Business Analyst within AI needed. We are seeking a forward-thinking Business Analyst. You will not just document legacy requirements. You will design the logical guardrails, metrics, and workflows for autonomous AI agents. You will act as the vital bridge between complex enterprise processes and our AI engineering teams. Key Responsibilities 1. Workflow Orchestration & Deconstruction Deconstruct workflows: Break down complex human processes into structured agent instructions. Map state transitions: Outline the iterative "Observe, Think, Act" loops for AI agents. Define guardrails: Establish data requirements, exceptions, and human-in-the-loop checkpoints. 2. Pipeline & Value Management Qualify use cases: Evaluate enterprise bottlenecks to qualify agentic automation opportunities. Manage pipelines: Prioritize the high-value agentic AI transformation roadmap. Design validation metrics: Create framework tracking metrics to monitor agent performance. 3. Cross-Functional Collaboration Translate requirements: Turn business user needs into precise prompts, system specs, and tool-calling logics. Facilitate workshops: Lead discovery sessions with technical engineers and non-technical stakeholders. Required Skills & Experience Technical Knowledge Agentic Frameworks: Basic knowledge of orchestration ecosystems like LangChain, AutoGen, or CrewAI. LLM Foundations: Strong grasp of Large Language Models, prompt engineering, and semantic memory patterns. Tool-Use Integration: Clear understanding of function calling, data pipelines, and external API connectors. Business Analysis Expertise Agile Frameworks: Proven success working inside Agile or Scrum software development lifecycles. Process Mapping: Mastery of decomposition techniques, data rules, and hand-off mapping. Data Fluency: Ability to run analytical assessments and query data to validate agent integrity. Soft Skills Constructive Skepticism: Ability to challenge status-quo enterprise assumptions. Ambiguity Handling: Comfort with exploring fluid, evolving AI product definitions.
Jun 11, 2026
Full time
Business Analyst within AI needed. We are seeking a forward-thinking Business Analyst. You will not just document legacy requirements. You will design the logical guardrails, metrics, and workflows for autonomous AI agents. You will act as the vital bridge between complex enterprise processes and our AI engineering teams. Key Responsibilities 1. Workflow Orchestration & Deconstruction Deconstruct workflows: Break down complex human processes into structured agent instructions. Map state transitions: Outline the iterative "Observe, Think, Act" loops for AI agents. Define guardrails: Establish data requirements, exceptions, and human-in-the-loop checkpoints. 2. Pipeline & Value Management Qualify use cases: Evaluate enterprise bottlenecks to qualify agentic automation opportunities. Manage pipelines: Prioritize the high-value agentic AI transformation roadmap. Design validation metrics: Create framework tracking metrics to monitor agent performance. 3. Cross-Functional Collaboration Translate requirements: Turn business user needs into precise prompts, system specs, and tool-calling logics. Facilitate workshops: Lead discovery sessions with technical engineers and non-technical stakeholders. Required Skills & Experience Technical Knowledge Agentic Frameworks: Basic knowledge of orchestration ecosystems like LangChain, AutoGen, or CrewAI. LLM Foundations: Strong grasp of Large Language Models, prompt engineering, and semantic memory patterns. Tool-Use Integration: Clear understanding of function calling, data pipelines, and external API connectors. Business Analysis Expertise Agile Frameworks: Proven success working inside Agile or Scrum software development lifecycles. Process Mapping: Mastery of decomposition techniques, data rules, and hand-off mapping. Data Fluency: Ability to run analytical assessments and query data to validate agent integrity. Soft Skills Constructive Skepticism: Ability to challenge status-quo enterprise assumptions. Ambiguity Handling: Comfort with exploring fluid, evolving AI product definitions.
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: Python, Flask, SQLAlchemy, React, TypeScript, MySQL, AWS In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Senior Full Stack Engineer to own features end-to-end across this system in our Python / Flask / React stack: backend services and data models through to the customer-facing frontend, with the judgement to make sound architectural calls as we scale to more brands and more customers. What you'll do Own features end-to-end: from Python/Flask services and data schemas to the React frontend, across systems like checkout, subscriptions, and the consultation-to-prescription flow. Scale what's working: keep the platform fast, correct and resilient through new brand launches and rising volume, and make the architectural calls that keep it that way. Lift the team: clean, well-tested code and honest reviews that help the engineers around you ship with confidence. What we're looking for Depth and breadth: strong, recent, hands-on full-stack experience. You're genuinely capable across backend and frontend, not just one side. Engineering judgement: clean code, clear API design, sound data modelling, and the instinct to pick the simple, robust solution over the clever one. Shipped impact: features you owned and shipped that moved something real for customers or the business. Care where it counts: correctness isn't negotiable when your code decides what treatment a patient receives. The stack: production command of Python (Flask) and React/TypeScript; relational databases (MySQL ideal) with SQLAlchemy/Alembic; comfort with AWS and Docker. Clear communication: most of our work happens in PRs, design docs and async decisions, so writing clearly matters. Roughly 6+ years building software in production. We read for depth and shipped impact, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
Jun 11, 2026
Full time
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: Python, Flask, SQLAlchemy, React, TypeScript, MySQL, AWS In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Senior Full Stack Engineer to own features end-to-end across this system in our Python / Flask / React stack: backend services and data models through to the customer-facing frontend, with the judgement to make sound architectural calls as we scale to more brands and more customers. What you'll do Own features end-to-end: from Python/Flask services and data schemas to the React frontend, across systems like checkout, subscriptions, and the consultation-to-prescription flow. Scale what's working: keep the platform fast, correct and resilient through new brand launches and rising volume, and make the architectural calls that keep it that way. Lift the team: clean, well-tested code and honest reviews that help the engineers around you ship with confidence. What we're looking for Depth and breadth: strong, recent, hands-on full-stack experience. You're genuinely capable across backend and frontend, not just one side. Engineering judgement: clean code, clear API design, sound data modelling, and the instinct to pick the simple, robust solution over the clever one. Shipped impact: features you owned and shipped that moved something real for customers or the business. Care where it counts: correctness isn't negotiable when your code decides what treatment a patient receives. The stack: production command of Python (Flask) and React/TypeScript; relational databases (MySQL ideal) with SQLAlchemy/Alembic; comfort with AWS and Docker. Clear communication: most of our work happens in PRs, design docs and async decisions, so writing clearly matters. Roughly 6+ years building software in production. We read for depth and shipped impact, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: Python, Flask, SQLAlchemy, MySQL, AWS (React on the frontend) In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Backend Engineer to go deep on the server side of this system in our Python / Flask stack: the APIs, data models and services behind consultations, prescriptions and orders. You'll learn fast alongside experienced engineers who'll back your growth, and you'll be comfortable making frontend (React) changes when a feature needs it, but backend is your craft. What you'll do Build the services behind the journey: APIs, data models and services powering consultations, prescriptions and order generation, with support from senior engineers. Ship and own: take backend features from ticket to production and keep them fast, correct and healthy once they're live. Write code others build on: clean, well-tested, and clear enough for the next person to pick up. What we're looking for Backend depth: solid, recent, hands-on experience building backend services and APIs in Python (Flask). A non-trivial piece of work you can walk us through and explain well. Good fundamentals: sound data modelling (SQLAlchemy/Alembic), sensible API design, and an instinct for testing. Care where it counts: you treat correctness as a feature, because this code generates real prescriptions and orders. Enough frontend to be useful: comfortable making React changes when a feature needs it (frontend won't be your main focus). The stack: Python and Flask; relational databases (MySQL ideal); some exposure to AWS/Docker is a plus. Clear communication: much of our work is written (PRs, docs), so explaining a decision crisply matters. Roughly 3-6 years building software in production. We read for depth in your area, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
Jun 11, 2026
Full time
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: Python, Flask, SQLAlchemy, MySQL, AWS (React on the frontend) In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Backend Engineer to go deep on the server side of this system in our Python / Flask stack: the APIs, data models and services behind consultations, prescriptions and orders. You'll learn fast alongside experienced engineers who'll back your growth, and you'll be comfortable making frontend (React) changes when a feature needs it, but backend is your craft. What you'll do Build the services behind the journey: APIs, data models and services powering consultations, prescriptions and order generation, with support from senior engineers. Ship and own: take backend features from ticket to production and keep them fast, correct and healthy once they're live. Write code others build on: clean, well-tested, and clear enough for the next person to pick up. What we're looking for Backend depth: solid, recent, hands-on experience building backend services and APIs in Python (Flask). A non-trivial piece of work you can walk us through and explain well. Good fundamentals: sound data modelling (SQLAlchemy/Alembic), sensible API design, and an instinct for testing. Care where it counts: you treat correctness as a feature, because this code generates real prescriptions and orders. Enough frontend to be useful: comfortable making React changes when a feature needs it (frontend won't be your main focus). The stack: Python and Flask; relational databases (MySQL ideal); some exposure to AWS/Docker is a plus. Clear communication: much of our work is written (PRs, docs), so explaining a decision crisply matters. Roughly 3-6 years building software in production. We read for depth in your area, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: React, TypeScript, Python, Flask, MySQL, AWS In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Full Stack Engineer with a frontend lean to build the customer-facing side of this system in React/TypeScript, backed by our Python/Flask services. Frontend is your strength: clean, responsive, accessible interfaces, and you're equally happy working into the backend to ship a feature end-to-end. You'll learn fast alongside experienced engineers who'll back your growth. What you'll do Build the customer-facing journey: clean, responsive, accessible React/TypeScript for the storefront and the consultation experience. Ship end-to-end: work into our Python/Flask backend to get a feature out the door, with support from senior engineers. Sweat the details: performance, accessibility, and the small things that make a clinical product feel trustworthy. What we're looking for Frontend depth: solid, recent, hands-on experience building production React/TypeScript interfaces. A non-trivial piece of work you can walk us through and explain well. Genuinely full-stack: able and willing to work in a Python/Flask backend to get a feature shipped (you don't throw it over a wall). Good fundamentals: component structure, state management, performance, and an instinct for testing. Care where it counts: you hold a high bar for correctness and detail, because this is a clinical product people rely on, not just a marketing site. The stack: React and TypeScript; working comfort with Python/Flask; relational databases (MySQL) a plus. Clear communication: much of our work is written (PRs, docs), so explaining a decision crisply matters. Roughly 3-6 years building software in production. We read for depth in your area, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
Jun 11, 2026
Full time
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: React, TypeScript, Python, Flask, MySQL, AWS In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Full Stack Engineer with a frontend lean to build the customer-facing side of this system in React/TypeScript, backed by our Python/Flask services. Frontend is your strength: clean, responsive, accessible interfaces, and you're equally happy working into the backend to ship a feature end-to-end. You'll learn fast alongside experienced engineers who'll back your growth. What you'll do Build the customer-facing journey: clean, responsive, accessible React/TypeScript for the storefront and the consultation experience. Ship end-to-end: work into our Python/Flask backend to get a feature out the door, with support from senior engineers. Sweat the details: performance, accessibility, and the small things that make a clinical product feel trustworthy. What we're looking for Frontend depth: solid, recent, hands-on experience building production React/TypeScript interfaces. A non-trivial piece of work you can walk us through and explain well. Genuinely full-stack: able and willing to work in a Python/Flask backend to get a feature shipped (you don't throw it over a wall). Good fundamentals: component structure, state management, performance, and an instinct for testing. Care where it counts: you hold a high bar for correctness and detail, because this is a clinical product people rely on, not just a marketing site. The stack: React and TypeScript; working comfort with Python/Flask; relational databases (MySQL) a plus. Clear communication: much of our work is written (PRs, docs), so explaining a decision crisply matters. Roughly 3-6 years building software in production. We read for depth in your area, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
LEAD FULLSTACK SOFTWARE ENGINEER 12 month Contract 2-3 days per week in Westminster, London 650 - 700 per day inside IR35 TXP are looking for a Lead Fullstack Software Engineer to join our clients team. Working alongside existing developers, tech leads, and the platform group. This is application and service-level work, not infrastructure at the network or hardware layer. The separate Platform Engineering team owns the underlying cloud infrastructure, networking, and shared platform services; this role operates at the application layer, consuming and collaborating with the platform rather than owning it. Responsibilities Lead the migration of services off the London Datacentre onto AWS and Kubernetes, with .NET 10 as the target runtime Build and maintain shared service templates, libraries, and patterns so the wider team can converge on a consistent, modern estate Design and build migration pipelines that combine Terraform, CI/CD, and AI coding agents to refactor and move services at scale, including adding test coverage as part of the migration step Work with the platform team on observability, networking, and dependency management as services land in the cloud estate Required Experience Strong C# and .NET development experience (at least 8 years), including modern .NET and familiarity with the .NET Framework constraints typical of legacy estates Hands-on AWS experience, building g, deploying, and operating production workloads Production experience with Kubernetes, including deploying and operating workloads on K8s in a cloud environment Strong Terraform skills and a track record of using infrastructure-as-code to provision and manage cloud environments Comfortable working through authentication issues across a mixed estate, including handling legacy mechanisms and bringing services onto modern, token-based patterns Experience with SQL Server Active day-to-day use of agentic coding tools such as Claude Code, Codex, or equivalent, with a willingness to drive substantial refactors and migrations through them rather than by hand Desireable Experience Python development for tooling, automation, and pipeline work Experience leading large legacy-to-cloud migrations, particularly off on-prem Windows estates Experience designing service templates or "golden paths" that other engineers adopt and build on Familiarity with observability tooling, including metrics, tracing, and structured logging across distributed services
Jun 11, 2026
Contractor
LEAD FULLSTACK SOFTWARE ENGINEER 12 month Contract 2-3 days per week in Westminster, London 650 - 700 per day inside IR35 TXP are looking for a Lead Fullstack Software Engineer to join our clients team. Working alongside existing developers, tech leads, and the platform group. This is application and service-level work, not infrastructure at the network or hardware layer. The separate Platform Engineering team owns the underlying cloud infrastructure, networking, and shared platform services; this role operates at the application layer, consuming and collaborating with the platform rather than owning it. Responsibilities Lead the migration of services off the London Datacentre onto AWS and Kubernetes, with .NET 10 as the target runtime Build and maintain shared service templates, libraries, and patterns so the wider team can converge on a consistent, modern estate Design and build migration pipelines that combine Terraform, CI/CD, and AI coding agents to refactor and move services at scale, including adding test coverage as part of the migration step Work with the platform team on observability, networking, and dependency management as services land in the cloud estate Required Experience Strong C# and .NET development experience (at least 8 years), including modern .NET and familiarity with the .NET Framework constraints typical of legacy estates Hands-on AWS experience, building g, deploying, and operating production workloads Production experience with Kubernetes, including deploying and operating workloads on K8s in a cloud environment Strong Terraform skills and a track record of using infrastructure-as-code to provision and manage cloud environments Comfortable working through authentication issues across a mixed estate, including handling legacy mechanisms and bringing services onto modern, token-based patterns Experience with SQL Server Active day-to-day use of agentic coding tools such as Claude Code, Codex, or equivalent, with a willingness to drive substantial refactors and migrations through them rather than by hand Desireable Experience Python development for tooling, automation, and pipeline work Experience leading large legacy-to-cloud migrations, particularly off on-prem Windows estates Experience designing service templates or "golden paths" that other engineers adopt and build on Familiarity with observability tooling, including metrics, tracing, and structured logging across distributed services
A growing software team is looking for an Intermediate or Senior Developer to help build and evolve technology used across the eCommerce and logistics sector. The business provides a multi-carrier delivery platform that helps retailers manage parcel tracking, customer queries, delivery issues and claims through a single, customer-focused solution. The team is now growing and looking for another developer to contribute to both new development and the continued improvement of existing services. Software Developer Backend / Full-Stack Southampton, Hampshire - Hybrid, 2-3 days per week in the office 60,000 - 70,000 This is primarily a backend role, working with TypeScript, Node.js and cloud-based systems. There will also be scope to work across the full stack for someone who wants broader exposure. The team is also actively exploring how AI-assisted development and agentic systems can improve the way software is built and delivered. You do not need to be an AI tooling expert, but you should be curious about where software development is heading and open to using tools such as Claude, Cursor, GitHub Copilot or similar as part of a modern engineering workflow. The role You will join an experienced development team responsible for designing, building, testing, deploying and supporting software used by retailers and logistics providers. You can expect to be involved in: Building backend services and REST APIs using TypeScript and Node.js Writing clear, tested and maintainable code Contributing to the design and development of new features and services Supporting and improving existing systems Working with product, technical and leadership teams to understand requirements and shape solutions Deploying, supporting and maintaining software and infrastructure Using modern development practices including CI, automated testing, infrastructure as code and containerisation Learning GCP if your current cloud experience is mainly with AWS or Azure Exploring sensible use of AI-assisted development tools within the team's engineering practices What we are looking for The role could suit either an experienced mid-level developer ready for more ownership, or a senior developer looking for a hands-on role in a product-focused software environment. You will need experience with: TypeScript and Node.js Backend API development, ideally with Express, Nest.js or similar MongoDB and/or relational databases Unit testing, such as Jest or similar Cloud platforms, with GCP useful but not essential Docker and Docker Compose CI/CD or continuous delivery environments Infrastructure as code, ideally Terraform or similar Working collaboratively in a software development team Experience with AWS or Azure is absolutely fine if you are interested in building your GCP experience. Useful but not essential React or Next.js Kubernetes or serverless environments GitOps principles Feature flags, dark launching or similar release techniques AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar Exposure to LLM-powered agents, APIs or pipelines using tools such as OpenAI, Anthropic, LangChain or similar Why consider it? This is a chance to join a growing UK development team working on software with real operational use in the eCommerce and logistics market. You will be joining a team that values good engineering practice, practical problem-solving and continuous learning. The role offers the opportunity to deepen your backend development experience, broaden into cloud and infrastructure, and gain exposure to how AI-assisted development is being adopted in real software teams. Apply now or contact Chris Lynes at Spectrum IT Recruitment. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jun 11, 2026
Full time
A growing software team is looking for an Intermediate or Senior Developer to help build and evolve technology used across the eCommerce and logistics sector. The business provides a multi-carrier delivery platform that helps retailers manage parcel tracking, customer queries, delivery issues and claims through a single, customer-focused solution. The team is now growing and looking for another developer to contribute to both new development and the continued improvement of existing services. Software Developer Backend / Full-Stack Southampton, Hampshire - Hybrid, 2-3 days per week in the office 60,000 - 70,000 This is primarily a backend role, working with TypeScript, Node.js and cloud-based systems. There will also be scope to work across the full stack for someone who wants broader exposure. The team is also actively exploring how AI-assisted development and agentic systems can improve the way software is built and delivered. You do not need to be an AI tooling expert, but you should be curious about where software development is heading and open to using tools such as Claude, Cursor, GitHub Copilot or similar as part of a modern engineering workflow. The role You will join an experienced development team responsible for designing, building, testing, deploying and supporting software used by retailers and logistics providers. You can expect to be involved in: Building backend services and REST APIs using TypeScript and Node.js Writing clear, tested and maintainable code Contributing to the design and development of new features and services Supporting and improving existing systems Working with product, technical and leadership teams to understand requirements and shape solutions Deploying, supporting and maintaining software and infrastructure Using modern development practices including CI, automated testing, infrastructure as code and containerisation Learning GCP if your current cloud experience is mainly with AWS or Azure Exploring sensible use of AI-assisted development tools within the team's engineering practices What we are looking for The role could suit either an experienced mid-level developer ready for more ownership, or a senior developer looking for a hands-on role in a product-focused software environment. You will need experience with: TypeScript and Node.js Backend API development, ideally with Express, Nest.js or similar MongoDB and/or relational databases Unit testing, such as Jest or similar Cloud platforms, with GCP useful but not essential Docker and Docker Compose CI/CD or continuous delivery environments Infrastructure as code, ideally Terraform or similar Working collaboratively in a software development team Experience with AWS or Azure is absolutely fine if you are interested in building your GCP experience. Useful but not essential React or Next.js Kubernetes or serverless environments GitOps principles Feature flags, dark launching or similar release techniques AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar Exposure to LLM-powered agents, APIs or pipelines using tools such as OpenAI, Anthropic, LangChain or similar Why consider it? This is a chance to join a growing UK development team working on software with real operational use in the eCommerce and logistics market. You will be joining a team that values good engineering practice, practical problem-solving and continuous learning. The role offers the opportunity to deepen your backend development experience, broaden into cloud and infrastructure, and gain exposure to how AI-assisted development is being adopted in real software teams. Apply now or contact Chris Lynes at Spectrum IT Recruitment. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Tech Lead - Python / Financial Modelling / AI - Pensions £650 - £750 per day Outside IR35 6 Month Contract Remote (Occasional London Travel) Overview I'm currently working with a leading financial services technology consultancy that is looking to bring in an experienced Tech Lead to support the delivery of modern software solutions for a major pensions client. This role sits at the intersection of financial modelling and modern engineering, supporting the development of platforms used for forward-looking financial analysis, including discounted cashflow projections and Monte Carlo simulations. This is a hands-on leadership role, splitting your time between full-stack engineering and leading a team of senior developers. You'll also play a key role in shaping AI-assisted and agentic development workflows, helping embed these approaches into day-to-day engineering practices. The Role You will lead a team of four experienced engineers while remaining actively involved in the development process, with a strong emphasis on Python-led development within a modern cloud environment. Alongside technical leadership, you will coordinate delivery, run Agile ceremonies, and act as a key technical contact for stakeholders and clients. The role requires someone who leads by influence, communicates confidently with clients, and brings practical experience implementing AI-assisted and agentic engineering workflows within real delivery environments. Key Responsibilities • Leading a team of four senior engineers within an Agile delivery environment• Remaining hands-on with Python-led full-stack development, alongside TypeScript, React and Azure• Contributing to platforms supporting financial modelling and forward-looking analytics including discounted cashflow projections and Monte Carlo simulations• Championing AI-assisted and agentic engineering workflows, embedding these into development practices• Running Agile ceremonies including stand-ups, sprint planning and retrospectives• Managing day-to-day delivery and proactively removing blockers• Acting as a key technical contact for stakeholders and clients• Supporting solution design and maintaining strong engineering standards Experience Required • Proven experience operating as a Tech Lead or Lead Engineer in modern engineering teams• Strong Python development experience within full-stack environments• Experience with TypeScript, React and Azure-based architectures• Experience working on financial modelling systems, ideally involving forward-looking modelling such as discounted cashflow projections or Monte Carlo simulations• Demonstrable experience implementing AI-assisted or agentic engineering approaches in practice• Experience leading engineering teams within Agile delivery frameworks• Strong communication skills and the ability to engage confidently with clients and stakeholders• A solutions-oriented, detail-focused mindset with a strong delivery drive and principles-based approach to engineering
Jun 11, 2026
Full time
Tech Lead - Python / Financial Modelling / AI - Pensions £650 - £750 per day Outside IR35 6 Month Contract Remote (Occasional London Travel) Overview I'm currently working with a leading financial services technology consultancy that is looking to bring in an experienced Tech Lead to support the delivery of modern software solutions for a major pensions client. This role sits at the intersection of financial modelling and modern engineering, supporting the development of platforms used for forward-looking financial analysis, including discounted cashflow projections and Monte Carlo simulations. This is a hands-on leadership role, splitting your time between full-stack engineering and leading a team of senior developers. You'll also play a key role in shaping AI-assisted and agentic development workflows, helping embed these approaches into day-to-day engineering practices. The Role You will lead a team of four experienced engineers while remaining actively involved in the development process, with a strong emphasis on Python-led development within a modern cloud environment. Alongside technical leadership, you will coordinate delivery, run Agile ceremonies, and act as a key technical contact for stakeholders and clients. The role requires someone who leads by influence, communicates confidently with clients, and brings practical experience implementing AI-assisted and agentic engineering workflows within real delivery environments. Key Responsibilities • Leading a team of four senior engineers within an Agile delivery environment• Remaining hands-on with Python-led full-stack development, alongside TypeScript, React and Azure• Contributing to platforms supporting financial modelling and forward-looking analytics including discounted cashflow projections and Monte Carlo simulations• Championing AI-assisted and agentic engineering workflows, embedding these into development practices• Running Agile ceremonies including stand-ups, sprint planning and retrospectives• Managing day-to-day delivery and proactively removing blockers• Acting as a key technical contact for stakeholders and clients• Supporting solution design and maintaining strong engineering standards Experience Required • Proven experience operating as a Tech Lead or Lead Engineer in modern engineering teams• Strong Python development experience within full-stack environments• Experience with TypeScript, React and Azure-based architectures• Experience working on financial modelling systems, ideally involving forward-looking modelling such as discounted cashflow projections or Monte Carlo simulations• Demonstrable experience implementing AI-assisted or agentic engineering approaches in practice• Experience leading engineering teams within Agile delivery frameworks• Strong communication skills and the ability to engage confidently with clients and stakeholders• A solutions-oriented, detail-focused mindset with a strong delivery drive and principles-based approach to engineering
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership
Jun 10, 2026
Full time
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership
Founding AI Engineer Location : London (Hybrid / Flexible) Salary : Competitive DOE + Bonus + Equity Company Overview We are working with an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. Operating at the intersection of AI, cyber security, and enterprise data platforms , the business is focused on transforming how organisations model access, risk, and data relationships across increasingly distributed cloud environments. The team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that operate in complex, real-world enterprise environments. Engineering sits at the centre of everything, and individuals are expected to have a direct impact on product direction and architecture. The Role We are seeking a Founding AI Engineer / Engineering Lead to join the business at a pivotal stage as the platform moves from early MVP into scalable production use with enterprise customers. This is a hands-on technical leadership role , not a product management position. You will be responsible for designing, building, and scaling core components of an AI-driven enterprise platform, working across data, machine learning, and distributed systems. You will also work directly with early customers to understand real-world use cases and translate them into robust, scalable product capabilities. This role suits someone who still enjoys building and shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components of an AI-native enterprise platform from the ground up Develop and deploy machine learning and LLM-based systems in production environments Build scalable data and AI pipelines across complex enterprise datasets Work closely with early enterprise customers to refine requirements and shape product direction Define and implement system architecture for AI, data, and integration layers Build agentic AI workflows and knowledge-driven systems using modern LLM frameworks Implement robust MLOps pipelines for model training, deployment, monitoring, and governance Contribute directly to production code in Python and related AI/data tooling Support technical decision-making around cloud architecture, scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow / PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS / Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience in software engineering, data engineering, or AI engineering roles Strong academic background in Computer Science, Engineering, Mathematics, or similar Experience working in a product-led technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML / LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity and ownership Strong communication skills and ability to work directly with technical and non-technical stakeholders Bonus Experience (Highly Valued) Cyber security / identity / access management (IAM / IdAM) exposure Cloud operations, DevSecOps, or infrastructure-heavy environments Experience in regulated or enterprise-scale domains Knowledge of enterprise data governance, data modelling, or integration architecture How You Work Highly hands-on and enjoys building systems end-to-end Comfortable operating in ambiguity and shaping problems as well as solving them Strong bias toward delivery, iteration, and practical engineering outcomes Collaborative, but able to take full ownership of technical decisions Interested in building foundational systems, not just features What We Offer Highly competitive base salary (DOE) + bonus Equity / stock options in a high-growth early-stage business Private medical insurance Hybrid working (London-based, flexible model) High ownership role with significant influence on product and architecture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Jun 09, 2026
Full time
Founding AI Engineer Location : London (Hybrid / Flexible) Salary : Competitive DOE + Bonus + Equity Company Overview We are working with an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. Operating at the intersection of AI, cyber security, and enterprise data platforms , the business is focused on transforming how organisations model access, risk, and data relationships across increasingly distributed cloud environments. The team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that operate in complex, real-world enterprise environments. Engineering sits at the centre of everything, and individuals are expected to have a direct impact on product direction and architecture. The Role We are seeking a Founding AI Engineer / Engineering Lead to join the business at a pivotal stage as the platform moves from early MVP into scalable production use with enterprise customers. This is a hands-on technical leadership role , not a product management position. You will be responsible for designing, building, and scaling core components of an AI-driven enterprise platform, working across data, machine learning, and distributed systems. You will also work directly with early customers to understand real-world use cases and translate them into robust, scalable product capabilities. This role suits someone who still enjoys building and shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components of an AI-native enterprise platform from the ground up Develop and deploy machine learning and LLM-based systems in production environments Build scalable data and AI pipelines across complex enterprise datasets Work closely with early enterprise customers to refine requirements and shape product direction Define and implement system architecture for AI, data, and integration layers Build agentic AI workflows and knowledge-driven systems using modern LLM frameworks Implement robust MLOps pipelines for model training, deployment, monitoring, and governance Contribute directly to production code in Python and related AI/data tooling Support technical decision-making around cloud architecture, scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow / PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS / Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience in software engineering, data engineering, or AI engineering roles Strong academic background in Computer Science, Engineering, Mathematics, or similar Experience working in a product-led technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML / LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity and ownership Strong communication skills and ability to work directly with technical and non-technical stakeholders Bonus Experience (Highly Valued) Cyber security / identity / access management (IAM / IdAM) exposure Cloud operations, DevSecOps, or infrastructure-heavy environments Experience in regulated or enterprise-scale domains Knowledge of enterprise data governance, data modelling, or integration architecture How You Work Highly hands-on and enjoys building systems end-to-end Comfortable operating in ambiguity and shaping problems as well as solving them Strong bias toward delivery, iteration, and practical engineering outcomes Collaborative, but able to take full ownership of technical decisions Interested in building foundational systems, not just features What We Offer Highly competitive base salary (DOE) + bonus Equity / stock options in a high-growth early-stage business Private medical insurance Hybrid working (London-based, flexible model) High ownership role with significant influence on product and architecture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with hybrid working available. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
Jun 09, 2026
Full time
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with hybrid working available. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
Senior Software Engineer (AI Products) London Remote-first Greenfield AI Native Product Development Location: London (remote-first - in office 1x a fortnight) Salary: 90,000 - 110,000 Tech stack: Flexibility with technical background, provided candidate is fluent in modern technologies such as: Python Golang Modern JavaScript frameworks LLMs & AI Agents RAG & AI orchestration frameworks Must have strong AWS experience & high competence with Agentic coding tools This is an opportunity to help shape a new generation of AI native products from day 1. You'll be joining a well established technology company investing heavily in a new generation of AI native products, giving you the opportunity to work on greenfield initiatives without the funding uncertainty, chaos, or risk that often comes with an early stage startup. They're looking for an experienced engineer who has already shipped AI powered systems into production and can operate with a high degree of autonomy. You'll join a small, experienced team where engineers are trusted to make decisions, move quickly, and own problems end to end, without layers of process or constant oversight. It's an adult environment that values outcomes over presenteeism, offers genuine flexibility, and gives engineers significant influence over product direction and architecture. What you'll be doing Building AI powered products and features from concept through to production Designing and developing AI agents that solve real business problems Working closely with product stakeholders to rapidly iterate and deliver value Using agentic development tools as a core part of your workflow Making pragmatic architecture decisions that balance speed with long term maintainability Deploying and operating cloud native applications in production Exploring new models, frameworks and approaches to keep products at the forefront of what's possible What they're looking for Strong software engineering foundations with proven commercial experience working across the stack Experience building and shipping production AI applications or AI agents Hands on experience with LLM APIs, RAG systems, orchestration frameworks, or similar AI technologies Strong architectural instincts and ability to make sound engineering decisions Experience working with AWS cloud infrastructure Why join? Opportunity to build greenfield AI native products High trust, low bureaucracy environment Significant ownership and influence over technical direction Strong investment in modern AI tooling and engineering practices Remote-first & flexible environment Interested and eager to help shape how software is built in an AI first world? Apply to this role or drop me an email at .
Jun 09, 2026
Full time
Senior Software Engineer (AI Products) London Remote-first Greenfield AI Native Product Development Location: London (remote-first - in office 1x a fortnight) Salary: 90,000 - 110,000 Tech stack: Flexibility with technical background, provided candidate is fluent in modern technologies such as: Python Golang Modern JavaScript frameworks LLMs & AI Agents RAG & AI orchestration frameworks Must have strong AWS experience & high competence with Agentic coding tools This is an opportunity to help shape a new generation of AI native products from day 1. You'll be joining a well established technology company investing heavily in a new generation of AI native products, giving you the opportunity to work on greenfield initiatives without the funding uncertainty, chaos, or risk that often comes with an early stage startup. They're looking for an experienced engineer who has already shipped AI powered systems into production and can operate with a high degree of autonomy. You'll join a small, experienced team where engineers are trusted to make decisions, move quickly, and own problems end to end, without layers of process or constant oversight. It's an adult environment that values outcomes over presenteeism, offers genuine flexibility, and gives engineers significant influence over product direction and architecture. What you'll be doing Building AI powered products and features from concept through to production Designing and developing AI agents that solve real business problems Working closely with product stakeholders to rapidly iterate and deliver value Using agentic development tools as a core part of your workflow Making pragmatic architecture decisions that balance speed with long term maintainability Deploying and operating cloud native applications in production Exploring new models, frameworks and approaches to keep products at the forefront of what's possible What they're looking for Strong software engineering foundations with proven commercial experience working across the stack Experience building and shipping production AI applications or AI agents Hands on experience with LLM APIs, RAG systems, orchestration frameworks, or similar AI technologies Strong architectural instincts and ability to make sound engineering decisions Experience working with AWS cloud infrastructure Why join? Opportunity to build greenfield AI native products High trust, low bureaucracy environment Significant ownership and influence over technical direction Strong investment in modern AI tooling and engineering practices Remote-first & flexible environment Interested and eager to help shape how software is built in an AI first world? Apply to this role or drop me an email at .
AI Innovation Engineer / AI Solutions Engineer Location: Hybrid / UK-based Salary: Competitive Standard 8 are representing a business looking for an AI Innovation Engineer who can cut through the noise and work out what is actually useful. This is not a "sit in meetings and talk about AI strategy" role. It is for someone who can take a real business problem, explore the right tools, build something that works, and explain whether it is worth taking further. You will be looking at emerging AI products, LLMs, agentic frameworks and automation opportunities, then turning ideas into working proof of concepts quickly. The business wants someone who can move from problem to prototype to recommendation in weeks, not quarters. Day to day, you will be working with business teams to understand where the pain points are, then translating those into practical AI solutions that engineering teams can build on. Some ideas will be worth scaling. Some will not. Your job is to find out quickly, with evidence, and without getting carried away by hype. You will be hands-on with tools such as OpenAI, Claude, Gemini, LangChain, CrewAI and AutoGen. Strong Python skills are important, along with experience integrating APIs and pulling together working demos that people can actually use and understand. We are looking for someone with a software engineering or solution architecture background and at least 1-3 years working with Generative AI. You should have built AI proof of concepts before, worked with stakeholders outside of tech, and understand that enterprise AI needs governance, security and commercial sense as much as clever prompts. You do not need to pretend every AI tool is revolutionary. You do need to be curious, practical and quick to learn. The right person will enjoy experimenting, but they will also know when to stop, document what they have found, and recommend a sensible next step. This would suit someone who likes being close to the problem, close to the technology, and close to the decision-making. A builder, not a commentator. What you'll need: Strong Python and API integration experience. Hands-on Generative AI experience across LLMs and modern AI tooling. Exposure to frameworks such as LangChain, CrewAI or AutoGen. A track record of building quick, credible proof of concepts. The confidence to speak with business stakeholders and technical teams. A practical understanding of AI adoption, governance and enterprise constraints. Standard 8 are managing applications for this role. Send your CV over and we'll take it from there.
Jun 07, 2026
Contractor
AI Innovation Engineer / AI Solutions Engineer Location: Hybrid / UK-based Salary: Competitive Standard 8 are representing a business looking for an AI Innovation Engineer who can cut through the noise and work out what is actually useful. This is not a "sit in meetings and talk about AI strategy" role. It is for someone who can take a real business problem, explore the right tools, build something that works, and explain whether it is worth taking further. You will be looking at emerging AI products, LLMs, agentic frameworks and automation opportunities, then turning ideas into working proof of concepts quickly. The business wants someone who can move from problem to prototype to recommendation in weeks, not quarters. Day to day, you will be working with business teams to understand where the pain points are, then translating those into practical AI solutions that engineering teams can build on. Some ideas will be worth scaling. Some will not. Your job is to find out quickly, with evidence, and without getting carried away by hype. You will be hands-on with tools such as OpenAI, Claude, Gemini, LangChain, CrewAI and AutoGen. Strong Python skills are important, along with experience integrating APIs and pulling together working demos that people can actually use and understand. We are looking for someone with a software engineering or solution architecture background and at least 1-3 years working with Generative AI. You should have built AI proof of concepts before, worked with stakeholders outside of tech, and understand that enterprise AI needs governance, security and commercial sense as much as clever prompts. You do not need to pretend every AI tool is revolutionary. You do need to be curious, practical and quick to learn. The right person will enjoy experimenting, but they will also know when to stop, document what they have found, and recommend a sensible next step. This would suit someone who likes being close to the problem, close to the technology, and close to the decision-making. A builder, not a commentator. What you'll need: Strong Python and API integration experience. Hands-on Generative AI experience across LLMs and modern AI tooling. Exposure to frameworks such as LangChain, CrewAI or AutoGen. A track record of building quick, credible proof of concepts. The confidence to speak with business stakeholders and technical teams. A practical understanding of AI adoption, governance and enterprise constraints. Standard 8 are managing applications for this role. Send your CV over and we'll take it from there.
This role is being handled by Via, a secure hiring platform used by employers to review candidates. After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match. AI Engineer Senior / Lead London (Hybrid) £80,000 - £110,000 + Excellent Benefits The Opportunity A fast-growing, globally recognised AI consultancy is looking for experienced AI Engineers to join its expanding UK team. The business is trusted by leading enterprises to deliver AI into production at scale, working in close partnership with the world's top AI and cloud providers. This is a hands-on engineering role at the intersection of software craftsmanship and cutting-edge AI implementation. You won't be training models. You'll be architecting and building the orchestration layer that makes complex LLM systems reliable, scalable, and genuinely useful in production environments. You'll work on some of the most technically demanding AI challenges in industry: multi-agent systems, RAG pipelines, agentic workflows, and robust evaluation frameworks, all at enterprise scale. What You'll Be Doing Designing and building production-grade AI systems that integrate LLMs, RAG pipelines, vector databases, and agentic frameworks Creating evaluation and observability frameworks to measure, monitor, and continuously improve system performance, accuracy, and reliability Implementing and maintaining retrieval systems, including ingestion pipelines, chunking strategies, and advanced techniques such as HyDE Building and owning production AI applications: clean code, robust error handling, well-designed APIs, and data pipelines Crafting effective prompts and optimising across latency, cost, and quality dimensions for different model providers Working with clients and internal teams to translate complex requirements into reliable, trusted AI products What We're Looking For Core Requirements Hands-on experience building applications with LLM APIs, with a genuine understanding of their capabilities, limitations, and failure modes Practical experience implementing RAG architectures, vector databases, knowledge graphs, and prompt engineering techniques Experience building multi-step LLM workflows and agentic systems, whether via frameworks (e.g. LangGraph, Strands, Agent SDKs) or custom implementations Strong Python proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, or Azure) Solid grounding in distributed systems, CI/CD, testing frameworks, and deployment pipelines Strong data manipulation skills (pandas, SQL) and familiarity with evaluation strategies for LLM-based systems Comfortable working with ambiguity, able to optimise non-deterministic systems through experimentation while balancing latency, cost, and quality trade-offs Nice to Have Experience with AI-assisted development tooling (e.g. Claude Code, GitHub Copilot) Knowledge of when fine-tuning is preferable to prompt engineering or RAG, with hands-on fine-tuning experience Familiarity with real-time streaming, multimodal models, or search technologies such as Elasticsearch Experience with model observability tools such as LangSmith or Weights & Biases Background in a regulated or specialised vertical (financial services, healthcare, energy, legal, retail), with an understanding of compliance, security, and responsible AI considerations Experience setting up tool-calling agents, handoffs, and guardrails For Principal-Level Candidates Exceptional candidates with a track record of leading end-to-end client engagements, particularly in a consulting context, will also be considered at Principal level. This would suit someone who has owned delivery from initial scoping through to production, and is comfortable leading technical direction alongside client relationships. What's on Offer Salary of £80,000 - £110,000 depending on level and experience Company bonus scheme Personal learning and development budget Choice of equipment, Mac or PC, plus accessories A genuinely collaborative culture where your technical perspective will carry weight from day one Backing and investment to pursue new ideas and grow your career quickly Exposure to cutting-edge AI work across multiple sectors and enterprise clients Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities, including roles advertised exclusively on Via .
Jun 07, 2026
Full time
This role is being handled by Via, a secure hiring platform used by employers to review candidates. After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match. AI Engineer Senior / Lead London (Hybrid) £80,000 - £110,000 + Excellent Benefits The Opportunity A fast-growing, globally recognised AI consultancy is looking for experienced AI Engineers to join its expanding UK team. The business is trusted by leading enterprises to deliver AI into production at scale, working in close partnership with the world's top AI and cloud providers. This is a hands-on engineering role at the intersection of software craftsmanship and cutting-edge AI implementation. You won't be training models. You'll be architecting and building the orchestration layer that makes complex LLM systems reliable, scalable, and genuinely useful in production environments. You'll work on some of the most technically demanding AI challenges in industry: multi-agent systems, RAG pipelines, agentic workflows, and robust evaluation frameworks, all at enterprise scale. What You'll Be Doing Designing and building production-grade AI systems that integrate LLMs, RAG pipelines, vector databases, and agentic frameworks Creating evaluation and observability frameworks to measure, monitor, and continuously improve system performance, accuracy, and reliability Implementing and maintaining retrieval systems, including ingestion pipelines, chunking strategies, and advanced techniques such as HyDE Building and owning production AI applications: clean code, robust error handling, well-designed APIs, and data pipelines Crafting effective prompts and optimising across latency, cost, and quality dimensions for different model providers Working with clients and internal teams to translate complex requirements into reliable, trusted AI products What We're Looking For Core Requirements Hands-on experience building applications with LLM APIs, with a genuine understanding of their capabilities, limitations, and failure modes Practical experience implementing RAG architectures, vector databases, knowledge graphs, and prompt engineering techniques Experience building multi-step LLM workflows and agentic systems, whether via frameworks (e.g. LangGraph, Strands, Agent SDKs) or custom implementations Strong Python proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, or Azure) Solid grounding in distributed systems, CI/CD, testing frameworks, and deployment pipelines Strong data manipulation skills (pandas, SQL) and familiarity with evaluation strategies for LLM-based systems Comfortable working with ambiguity, able to optimise non-deterministic systems through experimentation while balancing latency, cost, and quality trade-offs Nice to Have Experience with AI-assisted development tooling (e.g. Claude Code, GitHub Copilot) Knowledge of when fine-tuning is preferable to prompt engineering or RAG, with hands-on fine-tuning experience Familiarity with real-time streaming, multimodal models, or search technologies such as Elasticsearch Experience with model observability tools such as LangSmith or Weights & Biases Background in a regulated or specialised vertical (financial services, healthcare, energy, legal, retail), with an understanding of compliance, security, and responsible AI considerations Experience setting up tool-calling agents, handoffs, and guardrails For Principal-Level Candidates Exceptional candidates with a track record of leading end-to-end client engagements, particularly in a consulting context, will also be considered at Principal level. This would suit someone who has owned delivery from initial scoping through to production, and is comfortable leading technical direction alongside client relationships. What's on Offer Salary of £80,000 - £110,000 depending on level and experience Company bonus scheme Personal learning and development budget Choice of equipment, Mac or PC, plus accessories A genuinely collaborative culture where your technical perspective will carry weight from day one Backing and investment to pursue new ideas and grow your career quickly Exposure to cutting-edge AI work across multiple sectors and enterprise clients Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities, including roles advertised exclusively on Via .
AI Software Engineer, Firebase, GCP, COR7557D An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
Jun 07, 2026
Full time
AI Software Engineer, Firebase, GCP, COR7557D An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
