Robson Bale Ltd
Lead AI Engineer - Permanent - London/Hybrid Permanent Hybrid in Central London Competitive Salary Key Responsibilities Strategic & Architectural Leadership Define and own the technical vision and architecture for AI solutions across the organization Evaluate, select, and standardize AI technologies, frameworks, and third-party services Lead technical design reviews and make critical architectural decisions for complex AI initiatives Drive technical strategy for responsible AI, model governance, and production ML operations Partner with senior leadership (CTO, VPs, Directors) to translate business objectives into technical AI roadmaps Influence product and engineering strategy through technical insights and feasibility assessments Technical Expertise & Execution Act as the go-to technical expert for complex AI challenges across engineering teams Lead proof-of-concepts for emerging AI technologies and assess their production viability Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices Standards & Enablement Establish and enforce engineering best practices, coding standards, and quality benchmarks for AI development Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation Mentor engineers across all levels, conduct code reviews, and elevate engineering standards across the organization (upgraded from "mentor peers") Lead internal enablement and capability-building activities across the organization (upgraded from "contribute to") Cross-functional Collaboration Collaborate closely with Product using a working-backwards approach, producing technical designs, breaking down work, and delivering iteratively Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance Skills, Knowledge and Expertise Must Have: 7+ years of software engineering experience with 3+ years focused on production Generative AI and RAG systems Demonstrated experience architecting and scaling complex AI systems in production environments Proven track record of technical decision-making and architectural leadership with measurable business impact Deep technical expertise in LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, and hybrid search techniques Hands-on experience with leading LLM providers (Anthropic Claude, OpenAI), including model selection, evaluation, and optimization Expert-level Python development skills and fluency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services and container orchestration (Kubernetes), including infrastructure design for ML workloads Strong technical communication skills with ability to influence senior stakeholders and drive consensus across teams Strong data engineering capabilities, including dataset creation, ETL development, and metrics definition (moved from Nice to Have) Solid understanding of ML fundamentals, experimentation methodologies, and model performance optimization (moved from Nice to Have) Nice to Have Experience with model fine-tuning, RLHF, or custom training approaches Familiarity with MLOps platforms and experiment tracking tools Experience with infrastructure as code (Terraform, CloudFormation) Background in NLP research or open-source AI/ML contributions
Lead AI Engineer - Permanent - London/Hybrid Permanent Hybrid in Central London Competitive Salary Key Responsibilities Strategic & Architectural Leadership Define and own the technical vision and architecture for AI solutions across the organization Evaluate, select, and standardize AI technologies, frameworks, and third-party services Lead technical design reviews and make critical architectural decisions for complex AI initiatives Drive technical strategy for responsible AI, model governance, and production ML operations Partner with senior leadership (CTO, VPs, Directors) to translate business objectives into technical AI roadmaps Influence product and engineering strategy through technical insights and feasibility assessments Technical Expertise & Execution Act as the go-to technical expert for complex AI challenges across engineering teams Lead proof-of-concepts for emerging AI technologies and assess their production viability Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices Standards & Enablement Establish and enforce engineering best practices, coding standards, and quality benchmarks for AI development Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation Mentor engineers across all levels, conduct code reviews, and elevate engineering standards across the organization (upgraded from "mentor peers") Lead internal enablement and capability-building activities across the organization (upgraded from "contribute to") Cross-functional Collaboration Collaborate closely with Product using a working-backwards approach, producing technical designs, breaking down work, and delivering iteratively Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance Skills, Knowledge and Expertise Must Have: 7+ years of software engineering experience with 3+ years focused on production Generative AI and RAG systems Demonstrated experience architecting and scaling complex AI systems in production environments Proven track record of technical decision-making and architectural leadership with measurable business impact Deep technical expertise in LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, and hybrid search techniques Hands-on experience with leading LLM providers (Anthropic Claude, OpenAI), including model selection, evaluation, and optimization Expert-level Python development skills and fluency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services and container orchestration (Kubernetes), including infrastructure design for ML workloads Strong technical communication skills with ability to influence senior stakeholders and drive consensus across teams Strong data engineering capabilities, including dataset creation, ETL development, and metrics definition (moved from Nice to Have) Solid understanding of ML fundamentals, experimentation methodologies, and model performance optimization (moved from Nice to Have) Nice to Have Experience with model fine-tuning, RLHF, or custom training approaches Familiarity with MLOps platforms and experiment tracking tools Experience with infrastructure as code (Terraform, CloudFormation) Background in NLP research or open-source AI/ML contributions
Robson Bale Ltd
TypeScript developer (Frontend) - Senior - Contract - London/Hybrid - £430pd Inside IR35 12 months £430pd Inside IR35 1 day per week on site in London We are looking for a highly skilled TypeScript Developer to join our team and play a pivotal role in the implementation of a new project. You will be instrumental in shaping our shift-left testing strategy, ensuring quality and resilience are Embedded from the very beginning of development. With strong expertise in Next.js, you will work across the stack-from building modern, performant Front End experiences to designing and integrating APIs and microservices. You will take ownership of delivering secure, scalable, testable, and maintainable solutions that meet the highest engineering standards. Key Responsibilities: Design, build, and maintain full-stack applications using TypeScript, Next.js, Node.js, and React. Champion the shift-left approach by embedding quality early in the SDLC, writing unit, integration, and end-to-end tests alongside feature development. Implement and maintain automated test suites using Playwright, Jest, and React Testing Library to ensure reliability and regression coverage. Collaborate with cross-functional teams (UX/UI designers, product owners, QA, DevOps) to deliver well-scoped, high-quality features. Contribute to system architecture discussions, ensuring scalability, security, and performance. Build reusable components, libraries, and utilities to accelerate development across the team. Participate in code reviews, ensuring adherence to best practices, coding standards, and security guidelines. Work closely with DevOps to enhance CI/CD pipelines, enabling continuous integration, test automation, and smooth deployments. Monitor application performance and troubleshoot issues across the stack, proactively improving system resilience. Stay up to date with industry trends and emerging tools in TypeScript, Next.js, and test automation to continuously raise the bar of engineering excellence. Required Skills and Experience: Proven professional experience in Front End software development. Next.js (v14+) Gitlab pipelines Broad knowledge & practical expertise in Front End technologies including JavaScript, TypeScript, React, and Node.js. Strong understanding of Advanced Typescript concepts (eg Generics, Mapped & Utility types etc.) Knowledge of REST APIs and tools for testing API endpoints. Understanding of Agile software development methodologies and shift-left testing practices. Required experience in Design & developing automated tests for Front End and Back End services using TypeScript and modern test frameworks (Playwright, React-test library). Excellent communication and collaboration skills. Computer science, software engineering, or relevant technical background required. Desirable: Experience with maintaining mono-repo (eg Nx, Lerna or Turborepo) Familiarity with containerised environments (eg Docker, Kubernetes). Exposure to monitoring and observability tools (eg DataDog, Grafana). Experience in performance or accessibility testing (eg Playwright Lighthouse)
TypeScript developer (Frontend) - Senior - Contract - London/Hybrid - £430pd Inside IR35 12 months £430pd Inside IR35 1 day per week on site in London We are looking for a highly skilled TypeScript Developer to join our team and play a pivotal role in the implementation of a new project. You will be instrumental in shaping our shift-left testing strategy, ensuring quality and resilience are Embedded from the very beginning of development. With strong expertise in Next.js, you will work across the stack-from building modern, performant Front End experiences to designing and integrating APIs and microservices. You will take ownership of delivering secure, scalable, testable, and maintainable solutions that meet the highest engineering standards. Key Responsibilities: Design, build, and maintain full-stack applications using TypeScript, Next.js, Node.js, and React. Champion the shift-left approach by embedding quality early in the SDLC, writing unit, integration, and end-to-end tests alongside feature development. Implement and maintain automated test suites using Playwright, Jest, and React Testing Library to ensure reliability and regression coverage. Collaborate with cross-functional teams (UX/UI designers, product owners, QA, DevOps) to deliver well-scoped, high-quality features. Contribute to system architecture discussions, ensuring scalability, security, and performance. Build reusable components, libraries, and utilities to accelerate development across the team. Participate in code reviews, ensuring adherence to best practices, coding standards, and security guidelines. Work closely with DevOps to enhance CI/CD pipelines, enabling continuous integration, test automation, and smooth deployments. Monitor application performance and troubleshoot issues across the stack, proactively improving system resilience. Stay up to date with industry trends and emerging tools in TypeScript, Next.js, and test automation to continuously raise the bar of engineering excellence. Required Skills and Experience: Proven professional experience in Front End software development. Next.js (v14+) Gitlab pipelines Broad knowledge & practical expertise in Front End technologies including JavaScript, TypeScript, React, and Node.js. Strong understanding of Advanced Typescript concepts (eg Generics, Mapped & Utility types etc.) Knowledge of REST APIs and tools for testing API endpoints. Understanding of Agile software development methodologies and shift-left testing practices. Required experience in Design & developing automated tests for Front End and Back End services using TypeScript and modern test frameworks (Playwright, React-test library). Excellent communication and collaboration skills. Computer science, software engineering, or relevant technical background required. Desirable: Experience with maintaining mono-repo (eg Nx, Lerna or Turborepo) Familiarity with containerised environments (eg Docker, Kubernetes). Exposure to monitoring and observability tools (eg DataDog, Grafana). Experience in performance or accessibility testing (eg Playwright Lighthouse)
