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Staff ML Engineer Agentic AI ML Engineering London (3 days per week on-site) Contract Inside IR35 We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function. Rather than building AI capability from scratch, the organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks. The challenge now is driving consistent adoption, establishing engineering standards and enabling multiple engineering teams to build production-ready AI solutions using common patterns and best practice. This is a Staff Engineer position where you'll shape the technical direction of AI Engineering across the organisation. You'll be responsible for Defining engineering standards for enterprise AI Driving adoption of Agentic AI across multiple engineering teams Designing production-grade RAG architectures Establishing LangGraph and LangChain implementation patterns Designing scalable vector database retrieval strategies Leading best practice across MLOps, CI/CD and model deployment Improving AI testing, evaluation and observability Implementing guardrails and hallucination mitigation Influencing senior engineering stakeholders without direct line management We're looking for someone with deep experience in: Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn More important than individual technologies is your ability to design robust, scalable AI systems and influence engineering standards across multiple product teams. Contract (Apply online only) per day (inclusive) Initial 6 months with long-term programme roadmap Inside IR35 London (3 days per week)

Staff Data Engineer AWS PySpark Data Modernisation London Contract Inside IR35 We're supporting a global, technology-led organisation undertaking a large-scale cloud data transformation programme. This isn't a traditional Data Engineering role. The organisation is modernising hundreds of complex data pipelines, establishing reusable engineering patterns and embedding engineering excellence across its Data function. As a Staff-level engineer, you'll combine deep hands-on technical expertise with organisation-wide technical influence, helping shape how modern Data Engineering is delivered across multiple engineering teams. This is an opportunity to work on enterprise-scale data movement, cloud-native architectures and AI-assisted software engineering within a highly collaborative engineering culture. You'll be responsible for Defining technical standards and engineering patterns for a large-scale Data Modernisation programme Re-engineering complex legacy data pipelines into production-grade PySpark Building scalable, reusable data movement frameworks across multiple engineering teams Driving best practice around AWS Glue, Apache Spark and Apache Airflow Designing high-quality testing frameworks covering performance, data quality and reliability Leveraging Agentic AI development tools to improve engineering productivity while maintaining code quality Coaching and influencing experienced engineers through technical leadership rather than line management Working closely with enterprise architecture and platform teams to improve how data is governed, managed and consumed We're looking for someone with experience in Staff, Principal or Lead Data Engineering roles Python and expert-level PySpark AWS Glue Apache Spark Apache Airflow Cloud-native Data Engineering architectures Large-scale data pipeline modernisation Building reusable engineering patterns within enterprise environments Data testing, validation and observability AI-assisted software development using modern coding assistants Working within regulated or highly governed organisations More important than any individual technology is your ability to combine hands-on engineering excellence with technical leadership, helping multiple engineering teams adopt consistent, scalable engineering practices. Contract (Apply online only) per day (inclusive) Initial 6-month contract with significant programme runway Inside IR35 London (3 days per week on-site)

Job Title: Senior Software Architect Salary: Up to 115,000 base Location: Remote-first (UK) with approximately 1 day per month in Northampton Work Type: Permanent Role We're partnering with a global technology organisation embarking on a major platform transformation that will redefine how its products are built and delivered. With a strong architectural vision already in place, the business is now looking for a Senior Software Architect to take ownership of the technical execution and help turn that vision into reality. This is a genuinely exciting opportunity to join a greenfield programme in its early stages, building a next-generation platform that is API-first, AI-led and cloud-native. You'll have the autonomy to influence technical direction, mentor fellow architects, and work alongside software, hardware and platform specialists to deliver a modern, scalable solution. For someone who enjoys solving complex engineering challenges while leading from the front, this is an opportunity to make a lasting impact on a product roadmap that will shape the business for years to come. Responsibilities Lead the implementation of the software architecture across a major greenfield platform programme. Mentor and provide technical leadership to two Software Architects. Drive engineering best practices and architectural standards across development teams. Work closely with Solution, Platform and Hardware Architects to deliver an integrated platform, including IoT connectivity. Design scalable, cloud-native applications using modern architectural patterns. Champion API-first, AI-first and AI-assisted development approaches. Guide technical decisions around distributed systems, scalability and performance. Support delivery of key milestones towards the programme's Proof of Concept and phased product releases. Collaborate with engineering teams to ensure successful execution of the product roadmap. Required Skills Strong Software Architecture experience within enterprise applications. Expert knowledge of C# and .NET. Experience designing Microservices-based architectures. Containerisation technologies. API-first architecture. Cloud-native application design. Event-driven architecture. CQRS and Event Sourcing. Experience delivering scalable distributed systems. Ability to mentor technical teams and lead architectural implementation. Experience with AI-led or AI-assisted software development is highly desirable. Exposure to mobile applications or software/hardware integration (IoT) would be advantageous. Why should I apply? This is more than just another architecture role,it's an opportunity to influence the technical direction of a flagship product transformation from the ground up. You'll be joining a programme that's still in its early stages, giving you the chance to leave your mark on architecture, engineering standards and delivery practices. You'll have genuine autonomy, the trust to make key technical decisions, and the opportunity to work alongside experienced architects across software, hardware and platform engineering. As the business continues to invest in its technology function, there is a clear pathway for future progression, including the opportunity to develop into Head of Architecture. If you're looking for a role where you can combine hands-on architectural leadership with modern AI-first engineering principles and work on technology that will have long-term impact, this is an opportunity not to be missed. Interested? Apply for the role today or send your CV to (url removed)

Job Title: Senior AI DevSecOps Engineer Salary: Up to 125,000 Base + Bonus + Comprehensive Benefits Location: Hybrid (UK) Work Type: Permanent Role: Security is no longer about slowing teams down. It's about enabling innovation. We're partnering with an exciting technology business building AI native products that are transforming the way people interact with software. With AI at the core of their platform, they're investing heavily in secure engineering and are looking for a Senior AI DevSecOps Engineer to help scale security across a growing product portfolio. This isn't a business trying to introduce DevSecOps. They already have a mature security function, a modern engineering culture and a clear roadmap. They're looking for someone who can build on that foundation by developing intelligent security automation, influencing engineering teams and ensuring security evolves alongside rapid product innovation. If you've secured AI native products, enjoy building tooling and automation, and thrive in modern cloud native engineering environments, this is an opportunity to make a real impact. Responsibilities: Lead threat modelling across a portfolio of AI native products. Build, enhance and maintain security tooling and DevSecOps automation. Coordinate penetration testing activities and ensure remediation is delivered. Validate vulnerabilities, separating genuine security risks from false positives. Work closely with engineering teams to embed security throughout the software development lifecycle. Monitor and improve existing security automations and processes. Conduct security design reviews for upcoming products and features. Champion a security first culture while helping engineering teams deliver securely at speed. Required Skills: Commercial experience in a DevSecOps, Product Security or Application Security role. Experience securing AI native or modern cloud native applications. Strong knowledge of threat modelling and secure software development. Experience building security tooling and automation. Hands on experience with vulnerability management, validation and remediation. Knowledge of penetration testing methodologies and security scanning. Experience working within modern CI/CD environments. Exposure to AI assisted development tools such as Cursor, Codex, Claude, Anthropic or similar. Strong communication skills with the ability to collaborate effectively with engineering teams. Why should I apply? This is an opportunity to join a company that's genuinely embracing AI, not simply experimenting with it. You'll play a pivotal role in securing products built with the latest AI technologies while working alongside highly talented engineers in a collaborative, low friction environment. You'll inherit a mature DevSecOps function with executive buy in, giving you the freedom to focus on innovation rather than building processes from scratch. Whether it's introducing new tooling, enhancing automation or influencing secure engineering practices, you'll have the autonomy to make a lasting impact. If you're looking for a role where security is a strategic enabler and you want to help shape the future of AI native software, we'd love to hear from you. Interested? Apply today or send your CV to (url removed)