About The Role Here at Car Finance 247, we are looking for an experienced AI Engineer to join our expanding Technology team and help build production AI services that improve how customers, colleagues and partners move through the car finance journey. As a AI Engineer, you will take a leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will help keep Car Finance 247 at the forefront of AI and emerging technology. You will work closely with stakeholders across the business to identify where AI can deliver the greatest value, shape ideas into practical solutions, rapidly develop proof of concepts, and take successful initiatives through to secure, scalable and fully operational services. This is a hands on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer facing journeys and internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross Functional Delivery: Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product and business needs. End to End Project Ownership: Take ownership of AI initiatives from initial discovery and concept through proof of concept, production deployment and ongoing optimisation, with a strong focus on solving core business problems and delivering measurable value. Continuous Innovation: Stay at the forefront of developments in generative AI, LLMs, agentic systems and machine learning, assessing emerging tools and techniques and translating their potential for both technical and non technical audiences. Planning & Delivery Management: Plan future initiatives and manage active projects through effective sprint planning, backlog prioritisation and ticket management using tools such as Jira. Executive Communication: Communicate effectively with the Executive Board and senior stakeholders, clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval augmented generation (RAG) and evaluation techniques. Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies. Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management, and maintainable system design. Experience deploying and operating AI and machine learning services in production, including API based architectures and cloud hosted workloads. Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows. Experience leading complex technical projects from initial discovery and proof of concept through to production deployment and ongoing optimisation. Strong communication skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non technical stakeholders. A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. About Us Subsidised Onsite Parking A great working environment with free fruit and juice bars Birthday off! Onsite Gym Free transport to and from Piccadilly Train station Free Barista bar serving teas and coffees Excellent career progression About Team 247 We're more than the UK's digital car finance platform. We're a Manchester tech business that's reshaping how people buy cars. Backed by smart tech, sharp minds, and a relentless focus on exceptional service, we're on a mission to make car finance simple, fast, and customer first. We've got big goals - and the roadmap to get there. Join us and be part of something exciting. Our values Passion, Ownership, Resilience and Togetherness define how we work and win. We look for people who bring energy and drive, take accountability, push through challenges, and back their teammates. If you care about doing a great job, stepping up when it matters, and succeeding as part of a team, you'll fit right in.
22/07/2026
Full time
About The Role Here at Car Finance 247, we are looking for an experienced AI Engineer to join our expanding Technology team and help build production AI services that improve how customers, colleagues and partners move through the car finance journey. As a AI Engineer, you will take a leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will help keep Car Finance 247 at the forefront of AI and emerging technology. You will work closely with stakeholders across the business to identify where AI can deliver the greatest value, shape ideas into practical solutions, rapidly develop proof of concepts, and take successful initiatives through to secure, scalable and fully operational services. This is a hands on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer facing journeys and internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross Functional Delivery: Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product and business needs. End to End Project Ownership: Take ownership of AI initiatives from initial discovery and concept through proof of concept, production deployment and ongoing optimisation, with a strong focus on solving core business problems and delivering measurable value. Continuous Innovation: Stay at the forefront of developments in generative AI, LLMs, agentic systems and machine learning, assessing emerging tools and techniques and translating their potential for both technical and non technical audiences. Planning & Delivery Management: Plan future initiatives and manage active projects through effective sprint planning, backlog prioritisation and ticket management using tools such as Jira. Executive Communication: Communicate effectively with the Executive Board and senior stakeholders, clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval augmented generation (RAG) and evaluation techniques. Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies. Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management, and maintainable system design. Experience deploying and operating AI and machine learning services in production, including API based architectures and cloud hosted workloads. Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows. Experience leading complex technical projects from initial discovery and proof of concept through to production deployment and ongoing optimisation. Strong communication skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non technical stakeholders. A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. About Us Subsidised Onsite Parking A great working environment with free fruit and juice bars Birthday off! Onsite Gym Free transport to and from Piccadilly Train station Free Barista bar serving teas and coffees Excellent career progression About Team 247 We're more than the UK's digital car finance platform. We're a Manchester tech business that's reshaping how people buy cars. Backed by smart tech, sharp minds, and a relentless focus on exceptional service, we're on a mission to make car finance simple, fast, and customer first. We've got big goals - and the roadmap to get there. Join us and be part of something exciting. Our values Passion, Ownership, Resilience and Togetherness define how we work and win. We look for people who bring energy and drive, take accountability, push through challenges, and back their teammates. If you care about doing a great job, stepping up when it matters, and succeeding as part of a team, you'll fit right in.
Our client, a high profiling technology organisation, urgently require an experienced Technical Director to run a major Maritime programme that they are delivering. In order to be successful, you will have the following background: Background within either UK Military, or working with the Military/MoD as a customer Experience of acting as a senior technical authority, providing architectural leadership Enterprise Architecture background across software engineering and platform delivery, including cloud-hosted services, APIs, DevSecOps, CI/CD and test automation Experience of introducing emerging technologies including AI, ML and data enabled services Strong and robust stakeholder management skills SC Cleared Within this role, you will be responsible for: Senior leadership role within a multi-year delivery environment, supporting thousands of uniformed personnel and civil servants Set the technical direction for the software house, ensuring digital products and services are aligned to MoD priorities and wider defence policy Define and maintain technical architecture roadmap Translate operational and business needs into coherent technical strategy Ensure that platforms, products, data, integration patterns and engineering approaches support long-term mission outcomes as well as immediate delivery priorities Provide technical leadership across complex code, low-code, data and platform services Work with stakeholders across MoD organisations Lead the approach surrounding modern engineering and emerging technologies Provide governance, assurance and risk management across the delivery portfolio Tech: Python, TypeScript, React, Docker, Kubernetes, GitHub, Tekton and associated DevSecOps toolchains, Saas platforms, Microsoft Power Platform, Palantir Foundry This represents an excellent opportunity to secure a long term role, within a high profile and dynamic organisation.
22/07/2026
Full time
Our client, a high profiling technology organisation, urgently require an experienced Technical Director to run a major Maritime programme that they are delivering. In order to be successful, you will have the following background: Background within either UK Military, or working with the Military/MoD as a customer Experience of acting as a senior technical authority, providing architectural leadership Enterprise Architecture background across software engineering and platform delivery, including cloud-hosted services, APIs, DevSecOps, CI/CD and test automation Experience of introducing emerging technologies including AI, ML and data enabled services Strong and robust stakeholder management skills SC Cleared Within this role, you will be responsible for: Senior leadership role within a multi-year delivery environment, supporting thousands of uniformed personnel and civil servants Set the technical direction for the software house, ensuring digital products and services are aligned to MoD priorities and wider defence policy Define and maintain technical architecture roadmap Translate operational and business needs into coherent technical strategy Ensure that platforms, products, data, integration patterns and engineering approaches support long-term mission outcomes as well as immediate delivery priorities Provide technical leadership across complex code, low-code, data and platform services Work with stakeholders across MoD organisations Lead the approach surrounding modern engineering and emerging technologies Provide governance, assurance and risk management across the delivery portfolio Tech: Python, TypeScript, React, Docker, Kubernetes, GitHub, Tekton and associated DevSecOps toolchains, Saas platforms, Microsoft Power Platform, Palantir Foundry This represents an excellent opportunity to secure a long term role, within a high profile and dynamic organisation.
About The Role Here at Car Finance 247, we are looking for an experienced AI Engineer to join our expanding Technology team and help build production AI services that improve how customers, colleagues and partners move through the car finance journey. As a AI Engineer, you will take a leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will help keep Car Finance 247 at the forefront of AI and emerging technology. You will work closely with stakeholders across the business to identify where AI can deliver the greatest value, shape ideas into practical solutions, rapidly develop proof of concepts, and take successful initiatives through to secure, scalable and fully operational services. This is a hands on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer-facing journeys and internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross-Functional Delivery: Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product and business needs. End-to-End Project Ownership: Take ownership of AI initiatives from initial discovery and concept through proof of concept, production deployment and ongoing optimisation, with a strong focus on solving core business problems and delivering measurable value. Continuous Innovation: Stay at the forefront of developments in generative AI, LLMs, agentic systems and machine learning, assessing emerging tools and techniques and translating their potential for both technical and non-technical audiences. Planning & Delivery Management: Plan future initiatives and manage active projects through effective sprint planning, backlog prioritisation and ticket management using tools such as Jira. Executive Communication: Communicate effectively with the Executive Board and senior stakeholders, clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval-augmented generation (RAG) and evaluation techniques. Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies. Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management, and maintainable system design. Experience deploying and operating AI and machine learning services in production, including API-based architectures and cloud-hosted workloads. Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows. Experience leading complex technical projects from initial discovery and proof of concept through to production deployment and ongoing optimisation. Strong communication skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non-technical stakeholders. A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. About Us Subsidised Onsite Parking A great working environment with free fruit and juice bars Birthday off! Onsite Gym Free transport to and from Piccadilly Train station Free Barista bar serving teas and coffees Excellent career progression About Team 247 We're more than the UK's digital car finance platform. We're a Manchester tech business that's reshaping how people buy cars. Backed by smart tech, sharp minds, and a relentless focus on exceptional service, we're on a mission to make car finance simple, fast, and customer first. We've got big goals - and the roadmap to get there. Join us and be part of something exciting. Our values Passion, Ownership, Resilience and Togetherness define how we work and win. We look for people who bring energy and drive, take accountability, push through challenges, and back their teammates. If you care about doing a great job, stepping up when it matters, and succeeding as part of a team, you'll fit right in.
22/07/2026
Full time
About The Role Here at Car Finance 247, we are looking for an experienced AI Engineer to join our expanding Technology team and help build production AI services that improve how customers, colleagues and partners move through the car finance journey. As a AI Engineer, you will take a leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will help keep Car Finance 247 at the forefront of AI and emerging technology. You will work closely with stakeholders across the business to identify where AI can deliver the greatest value, shape ideas into practical solutions, rapidly develop proof of concepts, and take successful initiatives through to secure, scalable and fully operational services. This is a hands on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer-facing journeys and internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross-Functional Delivery: Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product and business needs. End-to-End Project Ownership: Take ownership of AI initiatives from initial discovery and concept through proof of concept, production deployment and ongoing optimisation, with a strong focus on solving core business problems and delivering measurable value. Continuous Innovation: Stay at the forefront of developments in generative AI, LLMs, agentic systems and machine learning, assessing emerging tools and techniques and translating their potential for both technical and non-technical audiences. Planning & Delivery Management: Plan future initiatives and manage active projects through effective sprint planning, backlog prioritisation and ticket management using tools such as Jira. Executive Communication: Communicate effectively with the Executive Board and senior stakeholders, clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval-augmented generation (RAG) and evaluation techniques. Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies. Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management, and maintainable system design. Experience deploying and operating AI and machine learning services in production, including API-based architectures and cloud-hosted workloads. Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows. Experience leading complex technical projects from initial discovery and proof of concept through to production deployment and ongoing optimisation. Strong communication skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non-technical stakeholders. A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. About Us Subsidised Onsite Parking A great working environment with free fruit and juice bars Birthday off! Onsite Gym Free transport to and from Piccadilly Train station Free Barista bar serving teas and coffees Excellent career progression About Team 247 We're more than the UK's digital car finance platform. We're a Manchester tech business that's reshaping how people buy cars. Backed by smart tech, sharp minds, and a relentless focus on exceptional service, we're on a mission to make car finance simple, fast, and customer first. We've got big goals - and the roadmap to get there. Join us and be part of something exciting. Our values Passion, Ownership, Resilience and Togetherness define how we work and win. We look for people who bring energy and drive, take accountability, push through challenges, and back their teammates. If you care about doing a great job, stepping up when it matters, and succeeding as part of a team, you'll fit right in.
Your opportunity Janus Henderson is undertaking a firm wide AI transformation programme to embed AI capabilities across every business function and become the most technologically sophisticated asset manager in the world. The AI Academy has already been established with a focus on helping users consume AI inside M365. Our next major expansion is enabling the firm's builders - engineers, architects, product owners, analysts, data engineers, quants, and platform specialists - to encode AI into the way technology is delivered and operated. The AI Business Partner for Builders will design and run this expansion. You will define the curriculum, stand up the cohort model, and partner across Technology, Investments, and Innovation to ensure all builders are utilizing modern AI tooling with broad knowledge sharing on best practices and organizational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organization to extend the program into maximizing the AI native application development occurring on JHOS. This is not a purely a training role or governance role. It sits at the intersection of hands on technical credibility, program design, and change enablement - helping builders work differently and accelerate our AI transformation. This will include directly engaging with builders on specific high priority projects, and then extending that learning and knowledge to the rest of the community. You will report into the Head of Innovation and operate within the AI Academy framework alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack - coding agents, agentic harnesses, MCP, in platform AI in Snowflake and Databricks, and the JHOS / NEXUS platform Percepta is building - but the firm's AI strategy is platform agnostic. You will be expected to evaluate, learn, and deploy new tools as the landscape evolves. Responsibilities Design and run the Builders curriculum: a general foundation for all builders (tools, models, agentic patterns, cross persona level setting) and role specific tracks for app engineers, data engineers, architects, security, product owners, and analysts Design and lead the Builders cohort - the technologist equivalent of Air Traffic Controllers - running them through the material first, iterating with their feedback, and equipping them to cascade training through their teams Partner with Percepta and the Technology org to design Phase 3: enabling engineers to build AI native applications on the JHOS platform, including agent orchestration, governance, and the NEXUS workspace Run hands on, workshop style sessions grounded in participants' real sprint work covering coding agents, agentic CI/CD, planning with LLMs, spec writing and verification, long running agents, and team level skill sharing (CLAUDE.md, SKILLS.md, shared prompt libraries) Partner with Technology, Security, and Architecture to resolve adoption blockers - acceptable use guidance, access paths, budget signals, approved tools - so builders know what is sanctioned and can experiment with confidence Develop and implement appropriate metrics within the AI Academy framework: pipeline telemetry (deploy frequency, lead time, change failure rate, time to restore), survey based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape - coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research - and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams to ensure curriculum, tools, and patterns taught are aligned with the firm's governance, data privacy, and compliance posture Carry out other duties as assigned What to expect when you join our firm Hybrid working and reasonable accommodations Generous holiday policies Excellent health and wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidised onsite canteen Must have skills Hands on engineering credibility - you have shipped software and you currently use modern coding agents (GitHub Copilot agent mode, Claude Code, OpenCode, or equivalent) on real work. You can sit down with a senior engineer, pair on their codebase, and add value within the hour Working fluency with the modern AI engineering stack - agentic harnesses, MCP, repo level context (CLAUDE.md / SKILLS.md), agentic CI/CD patterns, long running agents, and the tradeoffs between line completion, agent mode, and orchestrated multi agent workflows Curriculum design and facilitation experience - you have built and run technical training, workshops, or enablement programmes for engineers and other technologists, and you know the difference between a session people endure and one they apply on Monday morning Strong cross persona communication - equally credible with a staff engineer debating verification strategy, a product owner rewriting a spec for an agent, an architect worried about review throughput, and an SLT sponsor asking about ROI Practical change management instincts - you understand that tools and training are only half the job; surfacing and removing adoption blockers - access, acceptable use, budget, fear - is the other half Business analysis and measurement literacy - comfortable with DORA metrics, SPACE, developer experience research, and the difference between adoption (a prerequisite) and value (the goal). You can design a survey, interpret pipeline telemetry, and avoid vanity metrics Self directed and comfortable with ambiguity - this effort is brand new; you will define how it runs, with sponsorship but without a detailed playbook Strong documentation instincts - you produce reusable curriculum, patterns, and playbooks that outlast your direct involvement and can be picked up by cohort members and other Academy leads Experience working in a regulated environment (financial services, healthcare, legal, government) where governance, compliance, and data sensitivity shape how tools are evaluated, approved, and deployed Nice to have skills Direct experience in financial services or asset management, particularly exposure to investment technology, quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI native applications - agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub Enterprise, Jira / ServiceNow workflows Familiarity with the JHOS / NEXUS platform direction or comparable internal AI platforms built on top of foundation models Background in developer experience, platform engineering, or internal tooling - where success is measured by other engineers' productivity, not your own commits Experience leading a community of practice, internal guild, or cohort based enablement programme Product management sensibility - MVPs, iteration, user feedback, prioritisation - applied to curriculum and enablement rather than software features Familiarity with DORA research, SPACE, Accelerate, and current industry thinking on AI's impact on the software development lifecycle Public contributions - talks, writing, open source - that demonstrate ongoing engagement with the AI engineering community Supervisory responsibilities No - but you will lead the Builders effort and develop cohort members, equipping them to facilitate within their own teams Potential for growth Leadership development programmes Regular training Career development services Continuing education courses Microsoft AI, GitHub, Anthropic, and cloud platform certification pathways Exposure to a firm wide AI transformation programme with direct executive visibility Opportunity to shape a new function - the Tier 3 lead role is being established for the first time at Janus Henderson, with scope to define how AI enablement scales across the firm's technologist population and into AI native product development on JHOS Benefits Competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits Annual discretionary bonus opportunity - subject to company profit pool and performance You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Janus Henderson Investors is an equal opportunity employer . click apply for full job details
22/07/2026
Full time
Your opportunity Janus Henderson is undertaking a firm wide AI transformation programme to embed AI capabilities across every business function and become the most technologically sophisticated asset manager in the world. The AI Academy has already been established with a focus on helping users consume AI inside M365. Our next major expansion is enabling the firm's builders - engineers, architects, product owners, analysts, data engineers, quants, and platform specialists - to encode AI into the way technology is delivered and operated. The AI Business Partner for Builders will design and run this expansion. You will define the curriculum, stand up the cohort model, and partner across Technology, Investments, and Innovation to ensure all builders are utilizing modern AI tooling with broad knowledge sharing on best practices and organizational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organization to extend the program into maximizing the AI native application development occurring on JHOS. This is not a purely a training role or governance role. It sits at the intersection of hands on technical credibility, program design, and change enablement - helping builders work differently and accelerate our AI transformation. This will include directly engaging with builders on specific high priority projects, and then extending that learning and knowledge to the rest of the community. You will report into the Head of Innovation and operate within the AI Academy framework alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack - coding agents, agentic harnesses, MCP, in platform AI in Snowflake and Databricks, and the JHOS / NEXUS platform Percepta is building - but the firm's AI strategy is platform agnostic. You will be expected to evaluate, learn, and deploy new tools as the landscape evolves. Responsibilities Design and run the Builders curriculum: a general foundation for all builders (tools, models, agentic patterns, cross persona level setting) and role specific tracks for app engineers, data engineers, architects, security, product owners, and analysts Design and lead the Builders cohort - the technologist equivalent of Air Traffic Controllers - running them through the material first, iterating with their feedback, and equipping them to cascade training through their teams Partner with Percepta and the Technology org to design Phase 3: enabling engineers to build AI native applications on the JHOS platform, including agent orchestration, governance, and the NEXUS workspace Run hands on, workshop style sessions grounded in participants' real sprint work covering coding agents, agentic CI/CD, planning with LLMs, spec writing and verification, long running agents, and team level skill sharing (CLAUDE.md, SKILLS.md, shared prompt libraries) Partner with Technology, Security, and Architecture to resolve adoption blockers - acceptable use guidance, access paths, budget signals, approved tools - so builders know what is sanctioned and can experiment with confidence Develop and implement appropriate metrics within the AI Academy framework: pipeline telemetry (deploy frequency, lead time, change failure rate, time to restore), survey based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape - coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research - and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams to ensure curriculum, tools, and patterns taught are aligned with the firm's governance, data privacy, and compliance posture Carry out other duties as assigned What to expect when you join our firm Hybrid working and reasonable accommodations Generous holiday policies Excellent health and wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidised onsite canteen Must have skills Hands on engineering credibility - you have shipped software and you currently use modern coding agents (GitHub Copilot agent mode, Claude Code, OpenCode, or equivalent) on real work. You can sit down with a senior engineer, pair on their codebase, and add value within the hour Working fluency with the modern AI engineering stack - agentic harnesses, MCP, repo level context (CLAUDE.md / SKILLS.md), agentic CI/CD patterns, long running agents, and the tradeoffs between line completion, agent mode, and orchestrated multi agent workflows Curriculum design and facilitation experience - you have built and run technical training, workshops, or enablement programmes for engineers and other technologists, and you know the difference between a session people endure and one they apply on Monday morning Strong cross persona communication - equally credible with a staff engineer debating verification strategy, a product owner rewriting a spec for an agent, an architect worried about review throughput, and an SLT sponsor asking about ROI Practical change management instincts - you understand that tools and training are only half the job; surfacing and removing adoption blockers - access, acceptable use, budget, fear - is the other half Business analysis and measurement literacy - comfortable with DORA metrics, SPACE, developer experience research, and the difference between adoption (a prerequisite) and value (the goal). You can design a survey, interpret pipeline telemetry, and avoid vanity metrics Self directed and comfortable with ambiguity - this effort is brand new; you will define how it runs, with sponsorship but without a detailed playbook Strong documentation instincts - you produce reusable curriculum, patterns, and playbooks that outlast your direct involvement and can be picked up by cohort members and other Academy leads Experience working in a regulated environment (financial services, healthcare, legal, government) where governance, compliance, and data sensitivity shape how tools are evaluated, approved, and deployed Nice to have skills Direct experience in financial services or asset management, particularly exposure to investment technology, quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI native applications - agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub Enterprise, Jira / ServiceNow workflows Familiarity with the JHOS / NEXUS platform direction or comparable internal AI platforms built on top of foundation models Background in developer experience, platform engineering, or internal tooling - where success is measured by other engineers' productivity, not your own commits Experience leading a community of practice, internal guild, or cohort based enablement programme Product management sensibility - MVPs, iteration, user feedback, prioritisation - applied to curriculum and enablement rather than software features Familiarity with DORA research, SPACE, Accelerate, and current industry thinking on AI's impact on the software development lifecycle Public contributions - talks, writing, open source - that demonstrate ongoing engagement with the AI engineering community Supervisory responsibilities No - but you will lead the Builders effort and develop cohort members, equipping them to facilitate within their own teams Potential for growth Leadership development programmes Regular training Career development services Continuing education courses Microsoft AI, GitHub, Anthropic, and cloud platform certification pathways Exposure to a firm wide AI transformation programme with direct executive visibility Opportunity to shape a new function - the Tier 3 lead role is being established for the first time at Janus Henderson, with scope to define how AI enablement scales across the firm's technologist population and into AI native product development on JHOS Benefits Competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits Annual discretionary bonus opportunity - subject to company profit pool and performance You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Janus Henderson Investors is an equal opportunity employer . click apply for full job details
City: London Division: Corporate - CFO Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson We help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity Janus Henderson is undertaking a firm-wide AI transformation programme to embed AI capabilities across every business function and become the most technologically sophisticated asset manager in the world. The AI Academy has already been established with a focus on helping users consume AI inside M365. Our next major expansion is enabling the firm's builders-engineers, architects, product owners, analysts, data engineers, quants, and platform specialists-to encode AI into the way technology is delivered and operated. The AI Business Partner for Builders will design and run this expansion. You will define the curriculum, stand up the cohort model, and partner across Technology, Investments, and Innovation to ensure all builders are utilizing modern AI tooling with broad knowledge sharing on best practices and organizational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organization to extend the program into maximizing the AI-native application development occurring on JHOS. This is not a purely a training role or governance role. It sits at the intersection of hands on technical credibility, program design, and change enablement-helping builders work differently and accelerate our AI transformation. This will include directly engaging with builders on specific high priority projects, and then extending that learning and knowledge to the rest of the community. You will report into the Head of Innovation and operate within the AI Academy framework alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack-coding agents, agentic harnesses, MCP, in platform AI in Snowflake and Databricks, and the JHOS / NEXUS platform Percepta is building- but the firm's AI strategy is platform agnostic. You will be expected to evaluate, learn, and deploy new tools as the landscape evolves. Design and run the Builders curriculum: a general foundation for all builders (tools, models, agentic patterns, cross persona level setting) and role specific tracks for app engineers, data engineers, architects, security, product owners, and analysts Design and lead the Builders cohort - the technologist equivalent of Air Traffic Controllers - running them through the material first, iterating with their feedback, and equipping them to cascade training through their teams Partner with Percepta and the Technology org to design Phase 3: enabling engineers to build AI native applications on the JHOS platform, including agent orchestration, governance, and the NEXUS workspace Run hands on, workshop style sessions grounded in participants' real sprint work covering coding agents, agentic CI/CD, planning with LLMs, spec writing and verification, long running agents, and team level skill sharing (CLAUDE.md, SKILLS.md, shared prompt libraries). Partner with Technology, Security, and Architecture to resolve adoption blockers - acceptable use guidance, access paths, budget signals, approved tools - so builders know what is sanctioned and can experiment with confidence Develop and implement appropriate metrics within the AI Academy framework: pipeline telemetry (deploy frequency, lead time, change failure rate, time to restore), survey based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape-coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research-and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams to ensure curriculum, tools, and patterns taught are aligned with the firm's governance, data privacy, and compliance posture Carry out other duties as assigned What to expect when you join our firm Hybrid working and reasonable accommodations Generous Holiday policies Excellent Health and Wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidized onsite canteen Must have skills Hands on engineering credibility. You have shipped software, and you currently use modern coding agents (GitHub Copilot agent mode, Claude Code, OpenCode, or equivalent) on real work. You can sit down with a senior engineer, pair on their codebase, and add value within the hour Working fluency with the modern AI engineering stack - agentic harnesses, MCP, repo level context (CLAUDE.md / SKILLS.md), agentic CI/CD patterns, long running agents, and the tradeoffs between line completion, agent mode, and orchestrated multi agent workflows Curriculum design and facilitation experience - you have built and run technical training, workshops, or enablement programmes for engineers and other technologists, and you know the difference between a session people endure and one they apply on Monday morning Strong cross persona communication. Equally credible with a staff engineer debating verification strategy, a product owner rewriting a spec for an agent, an architect worried about review throughput, and an SLT sponsor asking about ROI Practical change management instincts. You understand that tools and training are only half the job; surfacing and removing adoption blockers - access, acceptable use, budget, fear - is the other half Business analysis and measurement literacy. Comfortable with DORA metrics, SPACE, developer experience research, and the difference between adoption (a prerequisite) and value (the goal). You can design a survey, interpret pipeline telemetry, and avoid vanity metrics Self directed and comfortable with ambiguity. This effort is brand new; you will define how it runs, with sponsorship but without a detailed playbook Strong documentation instincts. You produce reusable curriculum, patterns, and playbooks that outlast your direct involvement and can be picked up by cohort members and other Academy leads Experience working in a regulated environment (financial services, healthcare, legal, government) where governance, compliance, and data sensitivity shape how tools are evaluated, approved, and deployed Nice to have skills Direct experience in financial services or asset management, particularly exposure to investment technology, quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI native applications - agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub Enterprise, Jira / ServiceNow workflows Familiarity with the JHOS / NEXUS platform direction or comparable internal AI platforms built on top of foundation models Background in developer experience, platform engineering, or internal tooling - where success is measured by other engineers' productivity, not your own commits Experience leading a community of practice, internal guild, or cohort based enablement programme Product management sensibility - MVPs, iteration, user feedback, prioritisation - applied to curriculum and enablement rather than software features Familiarity with DORA research, SPACE, Accelerate, and current industry thinking on AI's impact on the software development lifecycle Public contributions - talks, writing, open source - that demonstrate ongoing engagement with the AI engineering community Supervisory responsibilities No - but you will lead the Builders effort and develop cohort members, equipping them to facilitate within their own teams Potential for growth Leadership development programmes Regular training Career development services Continuing education courses Microsoft AI, GitHub, Anthropic, and cloud platform certification pathways Exposure to a firm wide AI transformation programme with direct executive visibility Opportunity to shape a new function - the Tier 3 lead role is being established for the first time at Janus Henderson with scope to define how AI enablement scales across the firm's technologist population and into AI native product development on JHOS . click apply for full job details
22/07/2026
Full time
City: London Division: Corporate - CFO Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson We help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity Janus Henderson is undertaking a firm-wide AI transformation programme to embed AI capabilities across every business function and become the most technologically sophisticated asset manager in the world. The AI Academy has already been established with a focus on helping users consume AI inside M365. Our next major expansion is enabling the firm's builders-engineers, architects, product owners, analysts, data engineers, quants, and platform specialists-to encode AI into the way technology is delivered and operated. The AI Business Partner for Builders will design and run this expansion. You will define the curriculum, stand up the cohort model, and partner across Technology, Investments, and Innovation to ensure all builders are utilizing modern AI tooling with broad knowledge sharing on best practices and organizational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organization to extend the program into maximizing the AI-native application development occurring on JHOS. This is not a purely a training role or governance role. It sits at the intersection of hands on technical credibility, program design, and change enablement-helping builders work differently and accelerate our AI transformation. This will include directly engaging with builders on specific high priority projects, and then extending that learning and knowledge to the rest of the community. You will report into the Head of Innovation and operate within the AI Academy framework alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack-coding agents, agentic harnesses, MCP, in platform AI in Snowflake and Databricks, and the JHOS / NEXUS platform Percepta is building- but the firm's AI strategy is platform agnostic. You will be expected to evaluate, learn, and deploy new tools as the landscape evolves. Design and run the Builders curriculum: a general foundation for all builders (tools, models, agentic patterns, cross persona level setting) and role specific tracks for app engineers, data engineers, architects, security, product owners, and analysts Design and lead the Builders cohort - the technologist equivalent of Air Traffic Controllers - running them through the material first, iterating with their feedback, and equipping them to cascade training through their teams Partner with Percepta and the Technology org to design Phase 3: enabling engineers to build AI native applications on the JHOS platform, including agent orchestration, governance, and the NEXUS workspace Run hands on, workshop style sessions grounded in participants' real sprint work covering coding agents, agentic CI/CD, planning with LLMs, spec writing and verification, long running agents, and team level skill sharing (CLAUDE.md, SKILLS.md, shared prompt libraries). Partner with Technology, Security, and Architecture to resolve adoption blockers - acceptable use guidance, access paths, budget signals, approved tools - so builders know what is sanctioned and can experiment with confidence Develop and implement appropriate metrics within the AI Academy framework: pipeline telemetry (deploy frequency, lead time, change failure rate, time to restore), survey based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape-coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research-and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams to ensure curriculum, tools, and patterns taught are aligned with the firm's governance, data privacy, and compliance posture Carry out other duties as assigned What to expect when you join our firm Hybrid working and reasonable accommodations Generous Holiday policies Excellent Health and Wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidized onsite canteen Must have skills Hands on engineering credibility. You have shipped software, and you currently use modern coding agents (GitHub Copilot agent mode, Claude Code, OpenCode, or equivalent) on real work. You can sit down with a senior engineer, pair on their codebase, and add value within the hour Working fluency with the modern AI engineering stack - agentic harnesses, MCP, repo level context (CLAUDE.md / SKILLS.md), agentic CI/CD patterns, long running agents, and the tradeoffs between line completion, agent mode, and orchestrated multi agent workflows Curriculum design and facilitation experience - you have built and run technical training, workshops, or enablement programmes for engineers and other technologists, and you know the difference between a session people endure and one they apply on Monday morning Strong cross persona communication. Equally credible with a staff engineer debating verification strategy, a product owner rewriting a spec for an agent, an architect worried about review throughput, and an SLT sponsor asking about ROI Practical change management instincts. You understand that tools and training are only half the job; surfacing and removing adoption blockers - access, acceptable use, budget, fear - is the other half Business analysis and measurement literacy. Comfortable with DORA metrics, SPACE, developer experience research, and the difference between adoption (a prerequisite) and value (the goal). You can design a survey, interpret pipeline telemetry, and avoid vanity metrics Self directed and comfortable with ambiguity. This effort is brand new; you will define how it runs, with sponsorship but without a detailed playbook Strong documentation instincts. You produce reusable curriculum, patterns, and playbooks that outlast your direct involvement and can be picked up by cohort members and other Academy leads Experience working in a regulated environment (financial services, healthcare, legal, government) where governance, compliance, and data sensitivity shape how tools are evaluated, approved, and deployed Nice to have skills Direct experience in financial services or asset management, particularly exposure to investment technology, quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI native applications - agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub Enterprise, Jira / ServiceNow workflows Familiarity with the JHOS / NEXUS platform direction or comparable internal AI platforms built on top of foundation models Background in developer experience, platform engineering, or internal tooling - where success is measured by other engineers' productivity, not your own commits Experience leading a community of practice, internal guild, or cohort based enablement programme Product management sensibility - MVPs, iteration, user feedback, prioritisation - applied to curriculum and enablement rather than software features Familiarity with DORA research, SPACE, Accelerate, and current industry thinking on AI's impact on the software development lifecycle Public contributions - talks, writing, open source - that demonstrate ongoing engagement with the AI engineering community Supervisory responsibilities No - but you will lead the Builders effort and develop cohort members, equipping them to facilitate within their own teams Potential for growth Leadership development programmes Regular training Career development services Continuing education courses Microsoft AI, GitHub, Anthropic, and cloud platform certification pathways Exposure to a firm wide AI transformation programme with direct executive visibility Opportunity to shape a new function - the Tier 3 lead role is being established for the first time at Janus Henderson with scope to define how AI enablement scales across the firm's technologist population and into AI native product development on JHOS . click apply for full job details
Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and Croatia. We are seeking a SeniorSpecialist/ Principal Agentic AI Engineer to design, build and deploy intelligent AI agents, copilots and agentic solutions that deliver measurable business outcomes for our clients. This is a hands on engineering role focused on developing production ready agentic solutions using Microsoft AI technologies, Databricks AI capabilities and modern software engineering practices. The successful candidate will combine strong technical skills with expertise in AI agents, orchestration frameworks, enterprise integrations and intelligent automation. The role offers flexibility for candidates from software engineering, AI engineering, agent development, low code or automation backgrounds. We are looking for engineers who are passionate about building practical AI solutions that automate work, augment decision making and transform business processes through intelligent agents. Working alongside architects, consultants and delivery teams, you will contribute to technical design, build scalable and secure solutions, and create reusable assets, frameworks and accelerators that strengthen our Agentic AI capability. Key Responsibilities Design, develop and deploy AI agents, copilots and intelligent automation solutions that deliver measurable business value. Build solutions using Microsoft AI technologies including Copilot Studio, Azure AI Foundry, Azure OpenAI and Microsoft Fabric. Develop intelligent agents using Databricks AI capabilities including Mosaic AI and modern agent development frameworks. Design and implement agent workflows, orchestration patterns and autonomous business processes. Build agents that integrate with enterprise systems, business applications, APIs, data sources and knowledge repositories. Develop retrieval, memory, context management and reasoning capabilities to improve agent effectiveness and user outcomes. Collaborate with Solution Architects and Technical Leads to contribute to solution design and technical decision making. Support discovery workshops, technical design sessions and solution shaping activities where required. Build reusable agent components, skills, frameworks and accelerators that improve delivery quality and speed. Perform testing, evaluation, optimisation and continuous improvement of AI solutions and agent performance. Ensure solutions are secure, scalable, maintainable and aligned to engineering best practices. Contribute to capability development, knowledge sharing and the adoption of emerging agentic technologies. Experience Experience designing, developing and deploying AI powered solutions, intelligent automation platforms, copilots or agentic applications. Experience with one or more modern AI and agentic platforms, including: Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, AI Databricks, Mosaic AI, Databricks Agent Framework, Modern agent orchestration frameworks. Experience integrating solutions with APIs, enterprise systems, business platforms and knowledge sources. Strong understanding of modern software engineering practices and the software development lifecycle. Experience working within Agile delivery environments. Strong analytical, problem solving and troubleshooting skills. Excellent communication and stakeholder engagement skills. Strong software engineering experience using Python, TypeScript, C# or similar modern programming languages. Experience designing and developing AI agents and agentic applications using frameworks such as Semantic Kernel, LangGraph, CrewAI or AutoGen. Hands on experience with Azure AI Foundry, Azure OpenAI or Databricks Mosaic AI to build enterprise AI solutions. Experience developing cloud native applications, APIs and integrating enterprise systems. Knowledge of Retrieval Augmented Generation (RAG), vector search, memory management and AI reasoning techniques. Experience with Microsoft Copilot Studio, Power Platform and Power Automate to deliver intelligent business automation. Strong understanding of Git, CI/CD, DevOps and modern software engineering best practices, including testing, code reviews and quality assurance. Experience designing multi agent architectures, orchestration patterns and workflow automation for complex business processes. Knowledge of AI governance, Responsible AI, security, observability and monitoring within enterprise environments. Excellent problem solving, collaboration and communication skills, with a passion for delivering practical AI solutions that create measurable business value.
22/07/2026
Full time
Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and Croatia. We are seeking a SeniorSpecialist/ Principal Agentic AI Engineer to design, build and deploy intelligent AI agents, copilots and agentic solutions that deliver measurable business outcomes for our clients. This is a hands on engineering role focused on developing production ready agentic solutions using Microsoft AI technologies, Databricks AI capabilities and modern software engineering practices. The successful candidate will combine strong technical skills with expertise in AI agents, orchestration frameworks, enterprise integrations and intelligent automation. The role offers flexibility for candidates from software engineering, AI engineering, agent development, low code or automation backgrounds. We are looking for engineers who are passionate about building practical AI solutions that automate work, augment decision making and transform business processes through intelligent agents. Working alongside architects, consultants and delivery teams, you will contribute to technical design, build scalable and secure solutions, and create reusable assets, frameworks and accelerators that strengthen our Agentic AI capability. Key Responsibilities Design, develop and deploy AI agents, copilots and intelligent automation solutions that deliver measurable business value. Build solutions using Microsoft AI technologies including Copilot Studio, Azure AI Foundry, Azure OpenAI and Microsoft Fabric. Develop intelligent agents using Databricks AI capabilities including Mosaic AI and modern agent development frameworks. Design and implement agent workflows, orchestration patterns and autonomous business processes. Build agents that integrate with enterprise systems, business applications, APIs, data sources and knowledge repositories. Develop retrieval, memory, context management and reasoning capabilities to improve agent effectiveness and user outcomes. Collaborate with Solution Architects and Technical Leads to contribute to solution design and technical decision making. Support discovery workshops, technical design sessions and solution shaping activities where required. Build reusable agent components, skills, frameworks and accelerators that improve delivery quality and speed. Perform testing, evaluation, optimisation and continuous improvement of AI solutions and agent performance. Ensure solutions are secure, scalable, maintainable and aligned to engineering best practices. Contribute to capability development, knowledge sharing and the adoption of emerging agentic technologies. Experience Experience designing, developing and deploying AI powered solutions, intelligent automation platforms, copilots or agentic applications. Experience with one or more modern AI and agentic platforms, including: Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, AI Databricks, Mosaic AI, Databricks Agent Framework, Modern agent orchestration frameworks. Experience integrating solutions with APIs, enterprise systems, business platforms and knowledge sources. Strong understanding of modern software engineering practices and the software development lifecycle. Experience working within Agile delivery environments. Strong analytical, problem solving and troubleshooting skills. Excellent communication and stakeholder engagement skills. Strong software engineering experience using Python, TypeScript, C# or similar modern programming languages. Experience designing and developing AI agents and agentic applications using frameworks such as Semantic Kernel, LangGraph, CrewAI or AutoGen. Hands on experience with Azure AI Foundry, Azure OpenAI or Databricks Mosaic AI to build enterprise AI solutions. Experience developing cloud native applications, APIs and integrating enterprise systems. Knowledge of Retrieval Augmented Generation (RAG), vector search, memory management and AI reasoning techniques. Experience with Microsoft Copilot Studio, Power Platform and Power Automate to deliver intelligent business automation. Strong understanding of Git, CI/CD, DevOps and modern software engineering best practices, including testing, code reviews and quality assurance. Experience designing multi agent architectures, orchestration patterns and workflow automation for complex business processes. Knowledge of AI governance, Responsible AI, security, observability and monitoring within enterprise environments. Excellent problem solving, collaboration and communication skills, with a passion for delivering practical AI solutions that create measurable business value.
Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity Janus Henderson is undertaking a firm-wide AI transformation programme to embed AI capabilities across every business function and become the most technologically sophisticated asset manager in the world. The AI Academy has already been established with a focus on helping users consume AI inside M365. Our next major expansion is enabling the firm's builders - engineers, architects, product owners, analysts, data engineers, quants, and platform specialists - to encode AI into the way technology is delivered and operated. The AI Business Partner for Builders will design and run this expansion. You will define the curriculum, stand up the cohort model, and partner across Technology, Investments, and Innovation to ensure all builders are utilizing modern AI tooling with broad knowledge sharing on best practices and organizational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organization to extend the program into maximizing the AI-native application development occurring on JHOS. This is not a purely a training role or governance role. It sits at the intersection of hands on technical credibility, program design, and change enablement - helping builders work differently and accelerate our AI transformation. This will include directly engaging with builders on specific high priority projects, and then extending that learning and knowledge to the rest of the community. You will report into the Head of Innovation and operate within the AI Academy framework alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack - coding agents, agentic harnesses, MCP, in platform AI in Snowflake and Databricks, and the JHOS / NEXUS platform Percepta is building - but the firm's AI strategy is platform agnostic. You will be expected to evaluate, learn, and deploy new tools as the landscape evolves. Design and run the Builders curriculum: a general foundation for all builders (tools, models, agentic patterns, cross persona level setting) and role specific tracks for app engineers, data engineers, architects, security, product owners, and analysts Design and lead the Builders cohort - the technologist equivalent of Air Traffic Controllers - running them through the material first, iterating with their feedback, and equipping them to cascade training through their teams Partner with Percepta and the Technology org to design Phase 3: enabling engineers to build AI native applications on the JHOS platform, including agent orchestration, governance, and the NEXUS workspace Run hands on, workshop style sessions grounded in participants' real sprint work covering coding agents, agentic CI/CD, planning with LLMs, spec writing and verification, long running agents, and team level skill sharing (CLAUDE.md, SKILLS.md, shared prompt libraries). Partner with Technology, Security, and Architecture to resolve adoption blockers - acceptable use guidance, access paths, budget signals, approved tools - so builders know what is sanctioned and can experiment with confidence Develop and implement appropriate metrics within the AI Academy framework: pipeline telemetry (deploy frequency, lead time, change failure rate, time to restore), survey based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape - coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research - and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams to ensure curriculum, tools, and patterns taught are aligned with the firm's governance, data privacy, and compliance posture Carry out other duties as assigned What to expect when you join our firm Hybrid working and reasonable accommodations Generous Holiday policies Excellent Health and Wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidized onsite canteen Must have skills Hands on engineering credibility. You have shipped software, and you currently use modern coding agents (GitHub Copilot agent mode, Claude Code, OpenCode, or equivalent) on real work. You can sit down with a senior engineer, pair on their codebase, and add value within the hour Working fluency with the modern AI engineering stack - agentic harnesses, MCP, repo level context (CLAUDE.md / SKILLS.md), agentic CI/CD patterns, long running agents, and the tradeoffs between line completion, agent mode, and orchestrated multi agent workflows Curriculum design and facilitation experience - you have built and run technical training, workshops, or enablement programmes for engineers and other technologists, and you know the difference between a session people endure and one they apply on Monday morning Strong cross persona communication. Equally credible with a staff engineer debating verification strategy, a product owner rewriting a spec for an agent, an architect worried about review throughput, and an SLT sponsor asking about ROI Practical change management instincts. You understand that tools and training are only half the job; surfacing and removing adoption blockers - access, acceptable use, budget, fear - is the other half Business analysis and measurement literacy. Comfortable with DORA metrics, SPACE, developer experience research, and the difference between adoption (a prerequisite) and value (the goal). You can design a survey, interpret pipeline telemetry, and avoid vanity metrics Self directed and comfortable with ambiguity. This effort is brand new; you will define how it runs, with sponsorship but without a detailed playbook Strong documentation instincts. You produce reusable curriculum, patterns, and playbooks that outlast your direct involvement and can be picked up by cohort members and other Academy leads Experience working in a regulated environment (financial services, healthcare, legal, government) where governance, compliance, and data sensitivity shape how tools are evaluated, approved, and deployed Nice to have skills Direct experience in financial services or asset management, particularly exposure to investment technology, quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI native applications - agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub Enterprise, Jira / ServiceNow workflows Familiarity with the JHOS / NEXUS platform direction or comparable internal AI platforms built on top of foundation models Background in developer experience, platform engineering, or internal tooling - where success is measured by other engineers' productivity, not your own commits Experience leading a community of practice, internal guild, or cohort based enablement programme Product management sensibility - MVPs, iteration, user feedback, prioritisation - applied to curriculum and enablement rather than software features Familiarity with DORA research, SPACE, Accelerate, and current industry thinking on AI's impact on the software development lifecycle Public contributions - talks, writing, open source - that demonstrate ongoing engagement with the AI engineering community Supervisory responsibilities No - but you will lead the Builders effort and develop cohort members, equipping them to facilitate within their own teams Potential for growth Leadership development programs Regular training Career development services Continuing education courses Microsoft AI, GitHub, Anthropic, and cloud platform certification pathways Exposure to a firm wide AI transformation programme with direct executive visibility Opportunity to shape a new function - the Tier 3 lead role is being established for the first time at Janus Henderson . click apply for full job details
22/07/2026
Full time
Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity Janus Henderson is undertaking a firm-wide AI transformation programme to embed AI capabilities across every business function and become the most technologically sophisticated asset manager in the world. The AI Academy has already been established with a focus on helping users consume AI inside M365. Our next major expansion is enabling the firm's builders - engineers, architects, product owners, analysts, data engineers, quants, and platform specialists - to encode AI into the way technology is delivered and operated. The AI Business Partner for Builders will design and run this expansion. You will define the curriculum, stand up the cohort model, and partner across Technology, Investments, and Innovation to ensure all builders are utilizing modern AI tooling with broad knowledge sharing on best practices and organizational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organization to extend the program into maximizing the AI-native application development occurring on JHOS. This is not a purely a training role or governance role. It sits at the intersection of hands on technical credibility, program design, and change enablement - helping builders work differently and accelerate our AI transformation. This will include directly engaging with builders on specific high priority projects, and then extending that learning and knowledge to the rest of the community. You will report into the Head of Innovation and operate within the AI Academy framework alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack - coding agents, agentic harnesses, MCP, in platform AI in Snowflake and Databricks, and the JHOS / NEXUS platform Percepta is building - but the firm's AI strategy is platform agnostic. You will be expected to evaluate, learn, and deploy new tools as the landscape evolves. Design and run the Builders curriculum: a general foundation for all builders (tools, models, agentic patterns, cross persona level setting) and role specific tracks for app engineers, data engineers, architects, security, product owners, and analysts Design and lead the Builders cohort - the technologist equivalent of Air Traffic Controllers - running them through the material first, iterating with their feedback, and equipping them to cascade training through their teams Partner with Percepta and the Technology org to design Phase 3: enabling engineers to build AI native applications on the JHOS platform, including agent orchestration, governance, and the NEXUS workspace Run hands on, workshop style sessions grounded in participants' real sprint work covering coding agents, agentic CI/CD, planning with LLMs, spec writing and verification, long running agents, and team level skill sharing (CLAUDE.md, SKILLS.md, shared prompt libraries). Partner with Technology, Security, and Architecture to resolve adoption blockers - acceptable use guidance, access paths, budget signals, approved tools - so builders know what is sanctioned and can experiment with confidence Develop and implement appropriate metrics within the AI Academy framework: pipeline telemetry (deploy frequency, lead time, change failure rate, time to restore), survey based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape - coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research - and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams to ensure curriculum, tools, and patterns taught are aligned with the firm's governance, data privacy, and compliance posture Carry out other duties as assigned What to expect when you join our firm Hybrid working and reasonable accommodations Generous Holiday policies Excellent Health and Wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidized onsite canteen Must have skills Hands on engineering credibility. You have shipped software, and you currently use modern coding agents (GitHub Copilot agent mode, Claude Code, OpenCode, or equivalent) on real work. You can sit down with a senior engineer, pair on their codebase, and add value within the hour Working fluency with the modern AI engineering stack - agentic harnesses, MCP, repo level context (CLAUDE.md / SKILLS.md), agentic CI/CD patterns, long running agents, and the tradeoffs between line completion, agent mode, and orchestrated multi agent workflows Curriculum design and facilitation experience - you have built and run technical training, workshops, or enablement programmes for engineers and other technologists, and you know the difference between a session people endure and one they apply on Monday morning Strong cross persona communication. Equally credible with a staff engineer debating verification strategy, a product owner rewriting a spec for an agent, an architect worried about review throughput, and an SLT sponsor asking about ROI Practical change management instincts. You understand that tools and training are only half the job; surfacing and removing adoption blockers - access, acceptable use, budget, fear - is the other half Business analysis and measurement literacy. Comfortable with DORA metrics, SPACE, developer experience research, and the difference between adoption (a prerequisite) and value (the goal). You can design a survey, interpret pipeline telemetry, and avoid vanity metrics Self directed and comfortable with ambiguity. This effort is brand new; you will define how it runs, with sponsorship but without a detailed playbook Strong documentation instincts. You produce reusable curriculum, patterns, and playbooks that outlast your direct involvement and can be picked up by cohort members and other Academy leads Experience working in a regulated environment (financial services, healthcare, legal, government) where governance, compliance, and data sensitivity shape how tools are evaluated, approved, and deployed Nice to have skills Direct experience in financial services or asset management, particularly exposure to investment technology, quant platforms, trading systems, or data engineering in a regulated context Experience building or operating AI native applications - agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub Enterprise, Jira / ServiceNow workflows Familiarity with the JHOS / NEXUS platform direction or comparable internal AI platforms built on top of foundation models Background in developer experience, platform engineering, or internal tooling - where success is measured by other engineers' productivity, not your own commits Experience leading a community of practice, internal guild, or cohort based enablement programme Product management sensibility - MVPs, iteration, user feedback, prioritisation - applied to curriculum and enablement rather than software features Familiarity with DORA research, SPACE, Accelerate, and current industry thinking on AI's impact on the software development lifecycle Public contributions - talks, writing, open source - that demonstrate ongoing engagement with the AI engineering community Supervisory responsibilities No - but you will lead the Builders effort and develop cohort members, equipping them to facilitate within their own teams Potential for growth Leadership development programs Regular training Career development services Continuing education courses Microsoft AI, GitHub, Anthropic, and cloud platform certification pathways Exposure to a firm wide AI transformation programme with direct executive visibility Opportunity to shape a new function - the Tier 3 lead role is being established for the first time at Janus Henderson . click apply for full job details
Principal AI & Software Solutions LeadApplylocations: GB.Bristol.The Hub: GB.Derby.4 Roundhouse Road: GB.London.Nova North: GB.Manchester.Piccadilly: GB.Epsom.Woodcote Grovetime type: Full timeposted on: Posted Todayjob requisition id: R-159945 Job Description OverviewArtificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA, we are seeking a Principal AI & Software Solutions Lead to join our Transformation team and help shape, develop, and deliver practical AI and digital solutions that address real business and client needs. Combining deep software engineering expertise with emerging technologies such as AI, automation, data, and digital solutions, you will play a key role in turning innovative ideas into meaningful outcomes. Our focus is not technology for technology's sake, but on enhancing delivery, improving decision-making, increasing efficiency, and enabling new ways of working in a responsible, secure, and commercially valuable manner.Reporting to the Transformation Director and working closely with the AI Delivery Lead, you will help evaluate opportunities, guide technical approaches, and support the progression of ideas into production-ready solutions. This is a hands-on leadership role with a key part to play in building a new AI and software solutions capability within Nuclear EMEA, helping to transform how the business identifies opportunities, develops solutions, and delivers value. Combining technical excellence, collaboration, and delivery leadership, you will help teams turn ambition into practical, scalable impact. Your role AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort, and risk. Work closely with business and client-facing teams to explore opportunities, shape solutions, and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, Proof of Concept development, and the transition of validated use cases into production-ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies, and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable, and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands-on support throughout delivery, promoting strong architecture, code quality, and production readiness practices. Support the development of junior and mid-level engineers through coaching, mentoring, constructive feedback, and knowledge sharing. Help build team capability by aligning resources, developing talent, and supporting the effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks, and areas for improvement. Contribute to the continuous enhancement of governance, standards, and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long-term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum, and achieve successful outcomes together. About you Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing, and collaborative development practices. Demonstrate experience developing, deploying, or supporting digital, automation, data, or AI-enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems, or related areas. Have experience working with cloud-based platforms and services, with an appreciation of scalability, performance, security, and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk, and value. Bring strong problem-solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non-technical stakeholders, building trust, understanding, and alignment. Demonstrate a passion for emerging technologies, continuous learning, and applying innovation to real-world challenges. Contribute experience gained through Proofs of Concept, prototypes, or pilot initiatives involving AI, automation, data analytics, or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud-native architectures, or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks, or agentic workflows. Demonstrate an understanding of data governance, information security, and Responsible AI principles. Support the growth of others through mentoring, coaching, or knowledge-sharing activities. Bring experience working within large, complex, or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production-ready solutions. Show an interest in helping shape engineering standards, ways of working, and capability development within a growing AI function. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Rewards and benefits - Careers at AtkinsRéalis About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
21/07/2026
Full time
Principal AI & Software Solutions LeadApplylocations: GB.Bristol.The Hub: GB.Derby.4 Roundhouse Road: GB.London.Nova North: GB.Manchester.Piccadilly: GB.Epsom.Woodcote Grovetime type: Full timeposted on: Posted Todayjob requisition id: R-159945 Job Description OverviewArtificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA, we are seeking a Principal AI & Software Solutions Lead to join our Transformation team and help shape, develop, and deliver practical AI and digital solutions that address real business and client needs. Combining deep software engineering expertise with emerging technologies such as AI, automation, data, and digital solutions, you will play a key role in turning innovative ideas into meaningful outcomes. Our focus is not technology for technology's sake, but on enhancing delivery, improving decision-making, increasing efficiency, and enabling new ways of working in a responsible, secure, and commercially valuable manner.Reporting to the Transformation Director and working closely with the AI Delivery Lead, you will help evaluate opportunities, guide technical approaches, and support the progression of ideas into production-ready solutions. This is a hands-on leadership role with a key part to play in building a new AI and software solutions capability within Nuclear EMEA, helping to transform how the business identifies opportunities, develops solutions, and delivers value. Combining technical excellence, collaboration, and delivery leadership, you will help teams turn ambition into practical, scalable impact. Your role AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort, and risk. Work closely with business and client-facing teams to explore opportunities, shape solutions, and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, Proof of Concept development, and the transition of validated use cases into production-ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies, and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable, and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands-on support throughout delivery, promoting strong architecture, code quality, and production readiness practices. Support the development of junior and mid-level engineers through coaching, mentoring, constructive feedback, and knowledge sharing. Help build team capability by aligning resources, developing talent, and supporting the effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks, and areas for improvement. Contribute to the continuous enhancement of governance, standards, and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long-term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum, and achieve successful outcomes together. About you Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing, and collaborative development practices. Demonstrate experience developing, deploying, or supporting digital, automation, data, or AI-enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems, or related areas. Have experience working with cloud-based platforms and services, with an appreciation of scalability, performance, security, and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk, and value. Bring strong problem-solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non-technical stakeholders, building trust, understanding, and alignment. Demonstrate a passion for emerging technologies, continuous learning, and applying innovation to real-world challenges. Contribute experience gained through Proofs of Concept, prototypes, or pilot initiatives involving AI, automation, data analytics, or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud-native architectures, or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks, or agentic workflows. Demonstrate an understanding of data governance, information security, and Responsible AI principles. Support the growth of others through mentoring, coaching, or knowledge-sharing activities. Bring experience working within large, complex, or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production-ready solutions. Show an interest in helping shape engineering standards, ways of working, and capability development within a growing AI function. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Rewards and benefits - Careers at AtkinsRéalis About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
Help shape the future of AI within a growing international SaaS business. We're looking for an experienced AI Platform Engineer to help build and evolve the Azure platform that powers our conversational AI products and wider AI strategy.You'll design, build and operate the cloud-native platform supporting Retrieval-Augmented Generation (RAG), LLM orchestration, vector search and production AI services, working closely with AI Engineering, DevOps and Security teams to deliver scalable, secure and reliable AI solutions. Role scope: Designing, building and operating AI platform infrastructure across Microsoft Azure. Developing and optimising RAG pipelines, AI services and platform components. Deploying infrastructure using Terraform and supporting containerised applications. Building and maintaining CI/CD pipelines using GitHub and Azure DevOps. Improving observability, monitoring and platform resilience. Supporting vector search, embedding pipelines and knowledge ingestion. Applying security and governance best practice across the AI platform. What we're looking for Experience designing and supporting cloud platforms on Microsoft Azure. Strong Terraform and Infrastructure-as-Code experience. Experience with containerised applications and CI/CD pipelines. Python for automation and scripting. A good understanding of cloud-native architecture, APIs and microservices. Experience with vector search technologies such as OpenSearch would be advantageous. Experience with Microsoft Foundry or Azure AI Foundry is desirable but not essential. We're equally interested in experienced Azure Platform, Cloud or DevOps Engineers looking to build their expertise in enterprise AI. Why join us? You'll be joining an international SaaS business making significant investment in AI, where you'll have the opportunity to influence the architecture of a growing AI platform and work with the latest Azure technologies. This is a hands-on role with genuine ownership, the opportunity to work on cutting-edge AI solutions and the chance to help shape the future of AI across multiple products. If you're ready to build the next generation of AI platforms, we'd love to hear from you. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
21/07/2026
Full time
Help shape the future of AI within a growing international SaaS business. We're looking for an experienced AI Platform Engineer to help build and evolve the Azure platform that powers our conversational AI products and wider AI strategy.You'll design, build and operate the cloud-native platform supporting Retrieval-Augmented Generation (RAG), LLM orchestration, vector search and production AI services, working closely with AI Engineering, DevOps and Security teams to deliver scalable, secure and reliable AI solutions. Role scope: Designing, building and operating AI platform infrastructure across Microsoft Azure. Developing and optimising RAG pipelines, AI services and platform components. Deploying infrastructure using Terraform and supporting containerised applications. Building and maintaining CI/CD pipelines using GitHub and Azure DevOps. Improving observability, monitoring and platform resilience. Supporting vector search, embedding pipelines and knowledge ingestion. Applying security and governance best practice across the AI platform. What we're looking for Experience designing and supporting cloud platforms on Microsoft Azure. Strong Terraform and Infrastructure-as-Code experience. Experience with containerised applications and CI/CD pipelines. Python for automation and scripting. A good understanding of cloud-native architecture, APIs and microservices. Experience with vector search technologies such as OpenSearch would be advantageous. Experience with Microsoft Foundry or Azure AI Foundry is desirable but not essential. We're equally interested in experienced Azure Platform, Cloud or DevOps Engineers looking to build their expertise in enterprise AI. Why join us? You'll be joining an international SaaS business making significant investment in AI, where you'll have the opportunity to influence the architecture of a growing AI platform and work with the latest Azure technologies. This is a hands-on role with genuine ownership, the opportunity to work on cutting-edge AI solutions and the chance to help shape the future of AI across multiple products. If you're ready to build the next generation of AI platforms, we'd love to hear from you. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Our client, a high profiling technology organisation, urgently require an experienced Technical Director to run a major Maritime programme that they are delivering. In order to be successful, you will have the following background: Background within either UK Military, or working with the Military/MoD as a customer Experience of acting as a senior technical authority, providing architectural leadership Enterprise Architecture background across software engineering and platform delivery, including cloud-hosted services, APIs, DevSecOps, CI/CD and test automation Experience of introducing emerging technologies including AI, ML and data enabled services Strong and robust stakeholder management skills SC Cleared Within this role, you will be responsible for: Senior leadership role within a multi-year delivery environment, supporting thousands of uniformed personnel and civil servants Set the technical direction for the software house, ensuring digital products and services are aligned to MoD priorities and wider defence policy Define and maintain technical architecture roadmap Translate operational and business needs into coherent technical strategy Ensure that platforms, products, data, integration patterns and engineering approaches support long-term mission outcomes as well as immediate delivery priorities Provide technical leadership across complex code, low-code, data and platform services Work with stakeholders across MoD organisations Lead the approach surrounding modern engineering and emerging technologies Provide governance, assurance and risk management across the delivery portfolio Tech: Python, TypeScript, React, Docker, Kubernetes, GitHub, Tekton and associated DevSecOps toolchains, Saas platforms, Microsoft Power Platform, Palantir Foundry This represents an excellent opportunity to secure a long term role, within a high profile and dynamic organisation. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
21/07/2026
Full time
Our client, a high profiling technology organisation, urgently require an experienced Technical Director to run a major Maritime programme that they are delivering. In order to be successful, you will have the following background: Background within either UK Military, or working with the Military/MoD as a customer Experience of acting as a senior technical authority, providing architectural leadership Enterprise Architecture background across software engineering and platform delivery, including cloud-hosted services, APIs, DevSecOps, CI/CD and test automation Experience of introducing emerging technologies including AI, ML and data enabled services Strong and robust stakeholder management skills SC Cleared Within this role, you will be responsible for: Senior leadership role within a multi-year delivery environment, supporting thousands of uniformed personnel and civil servants Set the technical direction for the software house, ensuring digital products and services are aligned to MoD priorities and wider defence policy Define and maintain technical architecture roadmap Translate operational and business needs into coherent technical strategy Ensure that platforms, products, data, integration patterns and engineering approaches support long-term mission outcomes as well as immediate delivery priorities Provide technical leadership across complex code, low-code, data and platform services Work with stakeholders across MoD organisations Lead the approach surrounding modern engineering and emerging technologies Provide governance, assurance and risk management across the delivery portfolio Tech: Python, TypeScript, React, Docker, Kubernetes, GitHub, Tekton and associated DevSecOps toolchains, Saas platforms, Microsoft Power Platform, Palantir Foundry This represents an excellent opportunity to secure a long term role, within a high profile and dynamic organisation. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Join a fast-growing international SaaS business at the forefront of AI innovation. We're looking for a Senior AI Engineer to design, build and scale Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering teams, you'll develop production-grade AI systems, autonomous agents and LLM-powered applications, helping shape the future of AI across the organisation. What You'll Do Design and deliver production-ready Agentic AI, Generative AI and RAG solutions. Build autonomous AI agents capable of reasoning, planning and executing complex workflows. Develop multi-agent orchestration, tool integration and advanced retrieval strategies. Optimise LLM performance through prompt engineering, fine-tuning and evaluation. Work with Platform Engineering to deploy scalable AI services using Microsoft Azure. Mentor engineers and contribute to AI architecture and engineering best practices. What You'll Bring Strong Python development experience building production AI applications. Proven experience developing Agentic AI, LLM and RAG solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding of LLM evaluation, AI safety, observability and production deployment. Why Join? Build cutting-edge AI products for a global SaaS customer base. Shape the future direction of Agentic AI within an ambitious technology organisation. Work alongside talented engineers using the latest AI technologies. Join a collaborative team with genuine ownership and impact. If you're passionate about building intelligent AI systems that move beyond experimentation into real-world products, we'd love to hear from you. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
21/07/2026
Full time
Join a fast-growing international SaaS business at the forefront of AI innovation. We're looking for a Senior AI Engineer to design, build and scale Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering teams, you'll develop production-grade AI systems, autonomous agents and LLM-powered applications, helping shape the future of AI across the organisation. What You'll Do Design and deliver production-ready Agentic AI, Generative AI and RAG solutions. Build autonomous AI agents capable of reasoning, planning and executing complex workflows. Develop multi-agent orchestration, tool integration and advanced retrieval strategies. Optimise LLM performance through prompt engineering, fine-tuning and evaluation. Work with Platform Engineering to deploy scalable AI services using Microsoft Azure. Mentor engineers and contribute to AI architecture and engineering best practices. What You'll Bring Strong Python development experience building production AI applications. Proven experience developing Agentic AI, LLM and RAG solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding of LLM evaluation, AI safety, observability and production deployment. Why Join? Build cutting-edge AI products for a global SaaS customer base. Shape the future direction of Agentic AI within an ambitious technology organisation. Work alongside talented engineers using the latest AI technologies. Join a collaborative team with genuine ownership and impact. If you're passionate about building intelligent AI systems that move beyond experimentation into real-world products, we'd love to hear from you. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Our client, a high profiling technology organisation, urgently require an experienced Technical Director to run a major Maritime programme that they are delivering. In order to be successful, you will have the following background: Background within either UK Military, or working with the Military/MoD as a customer Experience of acting as a senior technical authority, providing architectural leadership Enterprise Architecture background across software engineering and platform delivery, including cloud-hosted services, APIs, DevSecOps, CI/CD and test automation Experience of introducing emerging technologies including AI, ML and data enabled services Strong and robust stakeholder management skills SC Cleared Within this role, you will be responsible for: Senior leadership role within a multi-year delivery environment, supporting thousands of uniformed personnel and civil servants Set the technical direction for the software house, ensuring digital products and services are aligned to MoD priorities and wider defence policy Define and maintain technical architecture roadmap Translate operational and business needs into coherent technical strategy Ensure that platforms, products, data, integration patterns and engineering approaches support long-term mission outcomes as well as immediate delivery priorities Provide technical leadership across complex code, low-code, data and platform services Work with stakeholders across MoD organisations Lead the approach surrounding modern engineering and emerging technologies Provide governance, assurance and risk management across the delivery portfolio Tech: Python, TypeScript, React, Docker, Kubernetes, GitHub, Tekton and associated DevSecOps toolchains, Saas platforms, Microsoft Power Platform, Palantir Foundry This represents an excellent opportunity to secure a long term role, within a high profile and dynamic organisation. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
21/07/2026
Full time
Our client, a high profiling technology organisation, urgently require an experienced Technical Director to run a major Maritime programme that they are delivering. In order to be successful, you will have the following background: Background within either UK Military, or working with the Military/MoD as a customer Experience of acting as a senior technical authority, providing architectural leadership Enterprise Architecture background across software engineering and platform delivery, including cloud-hosted services, APIs, DevSecOps, CI/CD and test automation Experience of introducing emerging technologies including AI, ML and data enabled services Strong and robust stakeholder management skills SC Cleared Within this role, you will be responsible for: Senior leadership role within a multi-year delivery environment, supporting thousands of uniformed personnel and civil servants Set the technical direction for the software house, ensuring digital products and services are aligned to MoD priorities and wider defence policy Define and maintain technical architecture roadmap Translate operational and business needs into coherent technical strategy Ensure that platforms, products, data, integration patterns and engineering approaches support long-term mission outcomes as well as immediate delivery priorities Provide technical leadership across complex code, low-code, data and platform services Work with stakeholders across MoD organisations Lead the approach surrounding modern engineering and emerging technologies Provide governance, assurance and risk management across the delivery portfolio Tech: Python, TypeScript, React, Docker, Kubernetes, GitHub, Tekton and associated DevSecOps toolchains, Saas platforms, Microsoft Power Platform, Palantir Foundry This represents an excellent opportunity to secure a long term role, within a high profile and dynamic organisation. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid, Glasgow Contract until September 2026 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance. This is an exciting opportunity to play a key role in delivering cutting edge AI solutions within a secure, high impact environment-helping shape how AI is deployed across critical public services. The Role You will be responsible for designing and delivering production grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI. Key responsibilities include: Designing, developing and deploying AI enabled applications across cloud platforms Building and scaling Retrieval Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production ready services Engaging stakeholders to identify and shape high value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof of concepts to support decision making and future investment Experience Required Proven experience delivering AI enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - Glasgow Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is a multi award winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
20/07/2026
Full time
AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid, Glasgow Contract until September 2026 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance. This is an exciting opportunity to play a key role in delivering cutting edge AI solutions within a secure, high impact environment-helping shape how AI is deployed across critical public services. The Role You will be responsible for designing and delivering production grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI. Key responsibilities include: Designing, developing and deploying AI enabled applications across cloud platforms Building and scaling Retrieval Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production ready services Engaging stakeholders to identify and shape high value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof of concepts to support decision making and future investment Experience Required Proven experience delivering AI enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - Glasgow Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is a multi award winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
Overview Artificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA we are looking for a Principal AI & Software Solutions Lead. The role sits on the Transformation team and bridges deep software engineering with emerging AI, automation, data and digital technologies. You will help shape, develop and deliver practical AI and digital solutions that address real business and client needs, focusing on enhancing delivery, improving decision making, increasing efficiency and enabling new ways of working in a responsible, secure and commercially valuable manner. AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort and risk. Work closely with business and client facing teams to explore opportunities, shape solutions and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, proof of concept development and the transition of validated use cases into production ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands on support throughout delivery, promoting strong architecture, code quality and production readiness practices. Support the development of junior and mid level engineers through coaching, mentoring, constructive feedback and knowledge sharing. Help build team capability by aligning resources, developing talent and supporting effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks and areas for improvement. Contribute to the continuous enhancement of governance, standards and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum and achieve successful outcomes together. About You Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing and collaborative development practices. Demonstrate experience developing, deploying or supporting digital, automation, data or AI enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems or related areas. Have experience working with cloud based platforms and services, with an appreciation of scalability, performance, security and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk and value. Bring strong problem solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non technical stakeholders, building trust, understanding and alignment. Demonstrate a passion for emerging technologies, continuous learning and applying innovation to real world challenges. Contribute experience gained through Proofs of Concept, prototypes or pilot initiatives involving AI, automation, data analytics or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud native architectures or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks or agentic workflows. Demonstrate an understanding of data governance, information security and Responsible AI principles. Support the growth of others through mentoring, coaching or knowledge sharing activities. Bring experience working within large, complex or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production ready solutions. Show an interest in helping shape engineering standards, ways of working and capability development within a growing AI function. Rewards & Benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Security Clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. Equal Opportunities & Diversity Statement We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria.
20/07/2026
Full time
Overview Artificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA we are looking for a Principal AI & Software Solutions Lead. The role sits on the Transformation team and bridges deep software engineering with emerging AI, automation, data and digital technologies. You will help shape, develop and deliver practical AI and digital solutions that address real business and client needs, focusing on enhancing delivery, improving decision making, increasing efficiency and enabling new ways of working in a responsible, secure and commercially valuable manner. AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort and risk. Work closely with business and client facing teams to explore opportunities, shape solutions and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, proof of concept development and the transition of validated use cases into production ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands on support throughout delivery, promoting strong architecture, code quality and production readiness practices. Support the development of junior and mid level engineers through coaching, mentoring, constructive feedback and knowledge sharing. Help build team capability by aligning resources, developing talent and supporting effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks and areas for improvement. Contribute to the continuous enhancement of governance, standards and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum and achieve successful outcomes together. About You Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing and collaborative development practices. Demonstrate experience developing, deploying or supporting digital, automation, data or AI enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems or related areas. Have experience working with cloud based platforms and services, with an appreciation of scalability, performance, security and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk and value. Bring strong problem solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non technical stakeholders, building trust, understanding and alignment. Demonstrate a passion for emerging technologies, continuous learning and applying innovation to real world challenges. Contribute experience gained through Proofs of Concept, prototypes or pilot initiatives involving AI, automation, data analytics or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud native architectures or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks or agentic workflows. Demonstrate an understanding of data governance, information security and Responsible AI principles. Support the growth of others through mentoring, coaching or knowledge sharing activities. Bring experience working within large, complex or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production ready solutions. Show an interest in helping shape engineering standards, ways of working and capability development within a growing AI function. Rewards & Benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Security Clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. Equal Opportunities & Diversity Statement We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria.
Company Description Publicis Media harnesses the power of modern media through leading agency brandsDysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, StarcomandZenith, as well as global acceleratorPMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings fromCJ, EpsilonandInfluential.A key business solution of Publicis Groupe, Publicis Media's digital-first, data-driven global solutions deliver client value anddrive growth in a platform-poweredworld. It is present in over 100 countries with over 23,000 employees worldwide. Overview Performics is the Performance Centre of Excellence within Publicis Groupe, building technology, data and AI-driven marketing solutions for global brands. This Principal Backend Engineer role is a hands-on, principal-level individual contributor position shaping the backend and data foundation behind OneSuite, our unified marketing intelligence and automation platform. You'll set technical direction across data products and platform integration, write production-grade Python, and lead high-impact architectural decisions that make complex marketing data dependable, secure and usable across clients. A key focus is enabling AI-assisted analyst workflows, including agents built with the Claude Agent SDK, so teams can answer questions, surface issues and act on campaign opportunities with confidence. Responsibilities Own backend and data architecture across pipelines, connector systems, platform APIs, agent/tool runtimes, CLIs and downstream product surfaces Define durable domain boundaries and data contracts between warehouse outputs, operational stores, platform APIs, agent tools and user workflows Lead the evolution of Databricks medallion pipelines (ingestion, normalisation and curated outputs for analytics and product use cases) Improve data quality and governance: schema enforcement, lineage, documentation and lakehouse-to-operational-store sync for consumer-facing data Architect Python backend services on AWS serverless paths, including authentication and tenant-scoped access patterns Shape how capabilities are exposed through OneSuite (streaming workflows, tool permissions, MCP integrations and stable CLI/API/MCP contracts) Set engineering standards (testing, CI/CD, deployment safety, observability) and mentor senior engineers through reviews, pairing and clear written guidance Qualifications Demonstrable experince in senior backend, data platform or distributed systems engineering roles, with principal-level ownership across multiple services or teams Expert Python backend engineering (API design, service boundaries, async/concurrent systems) plus strong SQL and modern testing practices Hands-on Databricks / PySpark experience and lakehouse/medallion architecture (or equivalent large-scale data pipeline experience) Strong AWS serverless background (Lambda, API Gateway, S3, DynamoDB, IAM) with infrastructure-as-code (e.g., CloudFormation/SAM) Deep understanding of multi-tenant SaaS design, authN/authZ, tenant isolation, secrets management and operational security Experience designing stable data contracts and CLI/API/MCP contracts, including schema evolution and consumer-facing data models Proven technical leadership through mentoring, architecture decisions, code review and clear trade-off communication (without relying on direct authority) Experience within the media, advertising or similar industries Additional Information Publicis Media offers a wide range of benefits to support our employees. Full details are shared when you join, but highlights include core benefits such as Pension, Life Assurance, and Private Medical cover, alongside enhanced policies like Reflection Days and Shared Parental Leave. You'll also have access to a range of additional initiatives, including: Please check out the Publicis Career Page which showcases our Inclusive Benefits and our EAGs (Employee Action Groups). Publicis Groupe works primarily from the office or our clients' office four days per week. At Publicis Media, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We'll work with you to ensure the process works for you. Sharing this information will never impact your application. Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included.
20/07/2026
Full time
Company Description Publicis Media harnesses the power of modern media through leading agency brandsDysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, StarcomandZenith, as well as global acceleratorPMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings fromCJ, EpsilonandInfluential.A key business solution of Publicis Groupe, Publicis Media's digital-first, data-driven global solutions deliver client value anddrive growth in a platform-poweredworld. It is present in over 100 countries with over 23,000 employees worldwide. Overview Performics is the Performance Centre of Excellence within Publicis Groupe, building technology, data and AI-driven marketing solutions for global brands. This Principal Backend Engineer role is a hands-on, principal-level individual contributor position shaping the backend and data foundation behind OneSuite, our unified marketing intelligence and automation platform. You'll set technical direction across data products and platform integration, write production-grade Python, and lead high-impact architectural decisions that make complex marketing data dependable, secure and usable across clients. A key focus is enabling AI-assisted analyst workflows, including agents built with the Claude Agent SDK, so teams can answer questions, surface issues and act on campaign opportunities with confidence. Responsibilities Own backend and data architecture across pipelines, connector systems, platform APIs, agent/tool runtimes, CLIs and downstream product surfaces Define durable domain boundaries and data contracts between warehouse outputs, operational stores, platform APIs, agent tools and user workflows Lead the evolution of Databricks medallion pipelines (ingestion, normalisation and curated outputs for analytics and product use cases) Improve data quality and governance: schema enforcement, lineage, documentation and lakehouse-to-operational-store sync for consumer-facing data Architect Python backend services on AWS serverless paths, including authentication and tenant-scoped access patterns Shape how capabilities are exposed through OneSuite (streaming workflows, tool permissions, MCP integrations and stable CLI/API/MCP contracts) Set engineering standards (testing, CI/CD, deployment safety, observability) and mentor senior engineers through reviews, pairing and clear written guidance Qualifications Demonstrable experince in senior backend, data platform or distributed systems engineering roles, with principal-level ownership across multiple services or teams Expert Python backend engineering (API design, service boundaries, async/concurrent systems) plus strong SQL and modern testing practices Hands-on Databricks / PySpark experience and lakehouse/medallion architecture (or equivalent large-scale data pipeline experience) Strong AWS serverless background (Lambda, API Gateway, S3, DynamoDB, IAM) with infrastructure-as-code (e.g., CloudFormation/SAM) Deep understanding of multi-tenant SaaS design, authN/authZ, tenant isolation, secrets management and operational security Experience designing stable data contracts and CLI/API/MCP contracts, including schema evolution and consumer-facing data models Proven technical leadership through mentoring, architecture decisions, code review and clear trade-off communication (without relying on direct authority) Experience within the media, advertising or similar industries Additional Information Publicis Media offers a wide range of benefits to support our employees. Full details are shared when you join, but highlights include core benefits such as Pension, Life Assurance, and Private Medical cover, alongside enhanced policies like Reflection Days and Shared Parental Leave. You'll also have access to a range of additional initiatives, including: Please check out the Publicis Career Page which showcases our Inclusive Benefits and our EAGs (Employee Action Groups). Publicis Groupe works primarily from the office or our clients' office four days per week. At Publicis Media, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We'll work with you to ensure the process works for you. Sharing this information will never impact your application. Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included.
AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid (Canary Wharf, London - 1 day per week) Contract until September 2026 + potential extension Morgan Hunt is working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance. This is an exciting opportunity to play a key role in delivering cutting edge AI solutions within a secure, high impact environment - helping shape how AI is deployed across critical public services. The Role You'll be responsible for designing and delivering production grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI. Key responsibilities include: Designing, developing and deploying AI enabled applications across cloud platforms Building and scaling Retrieval Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production ready services Engaging stakeholders to identify and shape high value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof of concepts to support decision making and future investment Experience Required Proven experience delivering AI enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - 1 day per week on-site in Canary Wharf Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
19/07/2026
Full time
AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid (Canary Wharf, London - 1 day per week) Contract until September 2026 + potential extension Morgan Hunt is working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance. This is an exciting opportunity to play a key role in delivering cutting edge AI solutions within a secure, high impact environment - helping shape how AI is deployed across critical public services. The Role You'll be responsible for designing and delivering production grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI. Key responsibilities include: Designing, developing and deploying AI enabled applications across cloud platforms Building and scaling Retrieval Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production ready services Engaging stakeholders to identify and shape high value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof of concepts to support decision making and future investment Experience Required Proven experience delivering AI enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - 1 day per week on-site in Canary Wharf Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
Description Every week we move millions of products to our customers at record speeds. Brilliant customer experiences at this kind of pace require fresh and appealing products to be available whenever and however our customers shop with us. And in this area of our business, we help to make sure that happens. By engineering innovative, smart technology, we put the tools in our colleagues' hands to power a global supply chain. Whether it's wine from New Zealand or milk from the local dairy farm, our tech performs. We solve problems at scale. We process billions of records, predicting and planning to make our customers' lives easier. We keep ours and stores operating smoothly around the clock, because what's important to our customers is important to us. About the Role Help lead on the delivery of best in class Generative & Agentic AI services to Sainsbury's Deploy and configure production systems, with a particular focus on automation, scalability and security. Collaborate with other Engineers to design, implement and evolve the system. Engage in the expansion of the evaluation framework, collaborating with product owners and architects to ensure that solutions help customers and achieve the logistics business goals. Monitor new features/functionality and assess their Ops implications to continuously improve services. Discover and recommend ways to improve reliability and efficiency. Maintain an overarching service dashboard and reporting. Produce and maintain documentation of support processes & resolutions to known operational issues. Participate in a 24/7 on call rota as required. Essential Criteria Proven Azure commercial experience in AI Foundry, ACS / Telephony, Voice Live, Azure ML Proven industry experience with Python, Javascript, Typescript, React, Redux, Java Experience with LLM's including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets Experienced in writing automated tests and maintaining CI/CD pipelines Proven experience of source and version control tools such as GitHub Be experienced working with Agile delivery teams in a fast paced, DevOps environment Be diligent and positive about tracking (JIRA), system monitoring, security & auditing Feed your insights to continuously improve the platform Be an active contributing part of an agile development team The ability to engage with and influence stakeholders. Desirable Familiarity with Genesys would be a positive. Benefits Colleague discount across our multi-brands - Sainsbury's, Argos and Habitat Holiday allowance Bonus scheme Pension plan Special offers on gym memberships, restaurants, holidays, retail vouchers and more Maternity or adoption leave up to 26 weeks' pay Paternity leave up to 4 weeks' pay Additional benefits such as season ticket loans, cycle to work scheme, health cash plans, pay advance and an employee assistance programme. Working Culture Work-life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals. Qualifications We are committed to being a truly inclusive retailer, so you'll be welcomed whatever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. For more information about our benefits please see .
19/07/2026
Full time
Description Every week we move millions of products to our customers at record speeds. Brilliant customer experiences at this kind of pace require fresh and appealing products to be available whenever and however our customers shop with us. And in this area of our business, we help to make sure that happens. By engineering innovative, smart technology, we put the tools in our colleagues' hands to power a global supply chain. Whether it's wine from New Zealand or milk from the local dairy farm, our tech performs. We solve problems at scale. We process billions of records, predicting and planning to make our customers' lives easier. We keep ours and stores operating smoothly around the clock, because what's important to our customers is important to us. About the Role Help lead on the delivery of best in class Generative & Agentic AI services to Sainsbury's Deploy and configure production systems, with a particular focus on automation, scalability and security. Collaborate with other Engineers to design, implement and evolve the system. Engage in the expansion of the evaluation framework, collaborating with product owners and architects to ensure that solutions help customers and achieve the logistics business goals. Monitor new features/functionality and assess their Ops implications to continuously improve services. Discover and recommend ways to improve reliability and efficiency. Maintain an overarching service dashboard and reporting. Produce and maintain documentation of support processes & resolutions to known operational issues. Participate in a 24/7 on call rota as required. Essential Criteria Proven Azure commercial experience in AI Foundry, ACS / Telephony, Voice Live, Azure ML Proven industry experience with Python, Javascript, Typescript, React, Redux, Java Experience with LLM's including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets Experienced in writing automated tests and maintaining CI/CD pipelines Proven experience of source and version control tools such as GitHub Be experienced working with Agile delivery teams in a fast paced, DevOps environment Be diligent and positive about tracking (JIRA), system monitoring, security & auditing Feed your insights to continuously improve the platform Be an active contributing part of an agile development team The ability to engage with and influence stakeholders. Desirable Familiarity with Genesys would be a positive. Benefits Colleague discount across our multi-brands - Sainsbury's, Argos and Habitat Holiday allowance Bonus scheme Pension plan Special offers on gym memberships, restaurants, holidays, retail vouchers and more Maternity or adoption leave up to 26 weeks' pay Paternity leave up to 4 weeks' pay Additional benefits such as season ticket loans, cycle to work scheme, health cash plans, pay advance and an employee assistance programme. Working Culture Work-life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals. Qualifications We are committed to being a truly inclusive retailer, so you'll be welcomed whatever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. For more information about our benefits please see .
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role As our Project Manager, you will be the operational backbone of our most ambitious programmes: from silicon bring-up and photonic integration to software stack delivery and customer pilots. You will work at the intersection of cutting-edge hardware, embedded firmware, and AI software, coordinating across disciplines where feedback loops are long, dependencies are tightly coupled, and the stakes are high. You will own end-to-end delivery, drive cross-functional alignment, and maintain relentless focus on what needs to happen next - without losing sight of the bigger picture. You will report directly to the Head of Engineering and work closely with technical leads across hardware, firmware, AI applications, and operations teams. What You'll Do Own the end-to-end delivery of Lumai's core engineering programmes, including hardware development milestones (EVT/DVT/PVT), firmware bring-up, and AI software integration cycles Build and maintain detailed project plans, risk registers, and dependency maps across hardware, ASIC, photonics, firmware, and software workstreams Run structured weekly programme reviews and steering meetings; produce clear, concise status reporting for leadership and investors Identify and actively manage programme risks and blockers - escalating early, proposing mitigations, and driving decisions to resolution Coordinate closely with supply chain, procurement, and external vendors (CM, foundry, packaging partners) to track NRE milestones, tapeout schedules, and prototype deliveries Maintain a single source of truth for programme status, decisions, and actions - driving accountability without creating bureaucracy Support resource planning and headcount prioritisation across teams, flagging capacity conflicts before they become critical path issues Facilitate cross-functional alignment between hardware engineers, firmware developers, AI/ML researchers, and business stakeholders with differing cadences and vocabulary Contribute to continuous improvement of Lumai's engineering operating model - proposing better processes, templates, and tooling as the team scales What We're Looking For Must-Have 5+ years of project or programme management experience, with at least 2 years in a hardware or deep tech environment (semiconductor, photonics, robotics, aerospace, or similar) Demonstrated ability to manage complex multi-disciplinary projects with hardware and software components running in parallel Strong working knowledge of hardware development lifecycles - EVT/DVT/PVT, tapeout cycles, NRE structures, BOM management, and CM relationships Experience tracking ASIC or PCB development schedules, including foundry and packaging supply chains with long and uncertain lead times Exceptional written and verbal communication - able to translate technical complexity for both engineering teams and non-technical stakeholders Proficient with modern project management tooling (e.g. Jira, Linear, Notion, Asana, or similar); comfortable designing workflows rather than just following them Comfortable with ambiguity and able to drive structure into early-stage programmes where requirements and dependencies are still evolving Strong stakeholder management skills - able to hold peers accountable, push back constructively, and build trust across functions Bachelor's degree or equivalent in Engineering, Physics, Computer Science, or a technical field; or equivalent industry experience Strong Preference For Experience at a deep tech startup or scale-up during a period of rapid growth or first product launch Familiarity with photonics, silicon photonics, or custom ASIC development workflows Exposure to AI/ML product delivery - understanding of model training cycles, inference infrastructure, or SDK/API release processes PMP, PRINCE2, or equivalent certification; or experience with Agile/SAFe frameworks applied to hardware contexts Experience managing external design houses, IP licensors, or EMS/CM relationships through prototype builds Prior experience supporting investor reporting, board updates, or milestone-based funding milestones Hands on curiosity about the technology - comfortable spending time in the lab or with the engineering team to understand what is actually being built Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On-site Lunches: Enjoy on-site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all-company off-sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with various members of our engineering team. Finally, an HR-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
18/07/2026
Full time
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role As our Project Manager, you will be the operational backbone of our most ambitious programmes: from silicon bring-up and photonic integration to software stack delivery and customer pilots. You will work at the intersection of cutting-edge hardware, embedded firmware, and AI software, coordinating across disciplines where feedback loops are long, dependencies are tightly coupled, and the stakes are high. You will own end-to-end delivery, drive cross-functional alignment, and maintain relentless focus on what needs to happen next - without losing sight of the bigger picture. You will report directly to the Head of Engineering and work closely with technical leads across hardware, firmware, AI applications, and operations teams. What You'll Do Own the end-to-end delivery of Lumai's core engineering programmes, including hardware development milestones (EVT/DVT/PVT), firmware bring-up, and AI software integration cycles Build and maintain detailed project plans, risk registers, and dependency maps across hardware, ASIC, photonics, firmware, and software workstreams Run structured weekly programme reviews and steering meetings; produce clear, concise status reporting for leadership and investors Identify and actively manage programme risks and blockers - escalating early, proposing mitigations, and driving decisions to resolution Coordinate closely with supply chain, procurement, and external vendors (CM, foundry, packaging partners) to track NRE milestones, tapeout schedules, and prototype deliveries Maintain a single source of truth for programme status, decisions, and actions - driving accountability without creating bureaucracy Support resource planning and headcount prioritisation across teams, flagging capacity conflicts before they become critical path issues Facilitate cross-functional alignment between hardware engineers, firmware developers, AI/ML researchers, and business stakeholders with differing cadences and vocabulary Contribute to continuous improvement of Lumai's engineering operating model - proposing better processes, templates, and tooling as the team scales What We're Looking For Must-Have 5+ years of project or programme management experience, with at least 2 years in a hardware or deep tech environment (semiconductor, photonics, robotics, aerospace, or similar) Demonstrated ability to manage complex multi-disciplinary projects with hardware and software components running in parallel Strong working knowledge of hardware development lifecycles - EVT/DVT/PVT, tapeout cycles, NRE structures, BOM management, and CM relationships Experience tracking ASIC or PCB development schedules, including foundry and packaging supply chains with long and uncertain lead times Exceptional written and verbal communication - able to translate technical complexity for both engineering teams and non-technical stakeholders Proficient with modern project management tooling (e.g. Jira, Linear, Notion, Asana, or similar); comfortable designing workflows rather than just following them Comfortable with ambiguity and able to drive structure into early-stage programmes where requirements and dependencies are still evolving Strong stakeholder management skills - able to hold peers accountable, push back constructively, and build trust across functions Bachelor's degree or equivalent in Engineering, Physics, Computer Science, or a technical field; or equivalent industry experience Strong Preference For Experience at a deep tech startup or scale-up during a period of rapid growth or first product launch Familiarity with photonics, silicon photonics, or custom ASIC development workflows Exposure to AI/ML product delivery - understanding of model training cycles, inference infrastructure, or SDK/API release processes PMP, PRINCE2, or equivalent certification; or experience with Agile/SAFe frameworks applied to hardware contexts Experience managing external design houses, IP licensors, or EMS/CM relationships through prototype builds Prior experience supporting investor reporting, board updates, or milestone-based funding milestones Hands on curiosity about the technology - comfortable spending time in the lab or with the engineering team to understand what is actually being built Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On-site Lunches: Enjoy on-site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all-company off-sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with various members of our engineering team. Finally, an HR-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
Join a fast-growing international SaaS business at the forefront of AI innovation. We're looking for a Senior AI Engineer to design, build and scale Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering teams, you'll develop production-grade AI systems, autonomous agents and LLM-powered applications, helping shape the future of AI across the organisation. What You'll Do Design and deliver production-ready Agentic AI, Generative AI and RAG solutions. Build autonomous AI agents capable of reasoning, planning and executing complex workflows. Develop multi-agent orchestration, tool integration and advanced retrieval strategies. Optimise LLM performance through prompt engineering, fine-tuning and evaluation. Work with Platform Engineering to deploy scalable AI services using Microsoft Azure. Mentor engineers and contribute to AI architecture and engineering best practices. What You'll Bring Strong Python development experience building production AI applications. Proven experience developing Agentic AI, LLM and RAG solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding of LLM evaluation, AI safety, observability and production deployment. Why Join? Build cutting-edge AI products for a global SaaS customer base. Shape the future direction of Agentic AI within an ambitious technology organisation. Work alongside talented engineers using the latest AI technologies. Join a collaborative team with genuine ownership and impact. If you're passionate about building intelligent AI systems that move beyond experimentation into real-world products, we'd love to hear from you.
18/07/2026
Full time
Join a fast-growing international SaaS business at the forefront of AI innovation. We're looking for a Senior AI Engineer to design, build and scale Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering teams, you'll develop production-grade AI systems, autonomous agents and LLM-powered applications, helping shape the future of AI across the organisation. What You'll Do Design and deliver production-ready Agentic AI, Generative AI and RAG solutions. Build autonomous AI agents capable of reasoning, planning and executing complex workflows. Develop multi-agent orchestration, tool integration and advanced retrieval strategies. Optimise LLM performance through prompt engineering, fine-tuning and evaluation. Work with Platform Engineering to deploy scalable AI services using Microsoft Azure. Mentor engineers and contribute to AI architecture and engineering best practices. What You'll Bring Strong Python development experience building production AI applications. Proven experience developing Agentic AI, LLM and RAG solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding of LLM evaluation, AI safety, observability and production deployment. Why Join? Build cutting-edge AI products for a global SaaS customer base. Shape the future direction of Agentic AI within an ambitious technology organisation. Work alongside talented engineers using the latest AI technologies. Join a collaborative team with genuine ownership and impact. If you're passionate about building intelligent AI systems that move beyond experimentation into real-world products, we'd love to hear from you.
We are seeking an experienced Technical Director to provide strategic technical leadership for the Royal Navy's DNA software house Summary DIGI2AL is seeking an experienced Technical Director to provide strategic technical leadership for the Royal Navy's Data and Navy Applications software house. This is a senior leadership role within a large-scale, multi-year delivery environment supporting thousands of uniformed personnel and civil servants. The postholder will set the technical direction for the software house, ensuring that digital products and services are aligned to Royal Navy priorities, wider Defence policy and standards, and good practice in secure, modern service delivery. Scope The Technical Director will define and maintain the target technical architecture and roadmap for the software house. They will translate operational and business needs into a coherent technical strategy, ensuring that platforms, products, data, integration patterns and engineering approaches support long-term mission outcomes as well as immediate delivery priorities. The role will provide technical leadership across complex code, low-code, data and platform services, ensuring solutions are secure, scalable, supportable and sustainable through life. A core part of the role is to establish a clear and repeatable approach to assessing technology demand. The postholder will work with stakeholders across Navy Digital, the Royal Navy and wider Defence to evaluate user needs, operational value, feasibility, security implications, whole-life cost and architectural fit, and to determine whether capabilities should be built, bought, configured, integrated, reused or retired. They will ensure that investment and delivery decisions are evidence-based, proportionate and aligned to enterprise principles, standards and value for money. The Technical Director will lead the software house's approach to modern engineering and emerging technologies, including the responsible adoption of artificial intelligence. This includes identifying appropriate AI use cases, shaping the technical enablers required for AI-enabled services, and ensuring that any adoption of AI is safe, lawful, ethical, auditable and aligned to Defence security, data and governance requirements. The role will also reduce strategic dependency on individual suppliers and platforms by promoting open standards, modular design, interoperable interfaces, reusable components and data portability. The postholder will ensure that technology choices support flexibility, resilience and maintainability, and that the software house is able to evolve its services without unnecessary vendor lock-in. As the senior technical authority within the organisation, the Technical Director will provide governance, assurance and risk management across the delivery portfolio. They will work closely with product, delivery, security and architecture leads to improve engineering maturity, manage technical debt, strengthen DevSecOps practices, and maintain compliance with relevant Royal Navy, MOD and cross-government standards. The postholder will engage confidently with senior stakeholders across the Royal Navy, MOD and suppliers, providing clear advice on technical options, risks, trade-offs and delivery implications. They will foster a culture of technical excellence, collaboration and continuous improvement, and will support the development of a sustainable software house capability able to deliver enduring operational value. Experience Strategic technical leadership. Significant experience of setting technical direction, roadmap and architectural standards in a complex digital environment, ideally within Defence, national security, central government or another highly regulated organisation. Software delivery leadership. Proven track record of leading multiple technical teams across the full lifecycle of digital products and services, from discovery and investment decisions through to live operation, support and continual improvement. Architecture and governance. Experience of acting as a senior technical authority, providing architectural leadership, design assurance and governance across a portfolio of products, platforms and services. Demand assessment and prioritisation. Experience of assessing user and organisational needs and translating them into clear technical options and delivery priorities, including decisions on whether to build, buy, configure, integrate, reuse or retire capabilities. Modern software engineering. Strong understanding of modern software engineering and platform delivery, including cloud-hosted services, APIs, integration patterns, test automation, CI/CD and DevSecOps. Data and AI adoption. Experience of leading data-enabled services and introducing emerging technologies, including artificial intelligence or machine learning, with appropriate attention to governance, assurance, security and ethics. Commercial and supplier awareness. Experience of working with third party suppliers and platform vendors, with the judgement to balance pace of delivery, value for money, operational need and long term technical resilience. Senior stakeholder engagement. Strong experience of advising senior leaders and governance forums, including explaining complex technical issues, risks and trade-offs in clear and accessible language. Essential skills Technical strategy. Ability to define a coherent target architecture and technology roadmap which supports operational priorities, enterprise standards and long-term sustainability. Architectural decision-making. Ability to make and govern sound technical decisions across applications, data, integration, platforms and security within a complex and regulated environment. Open and interoperable design. Ability to promote open standards, modular architecture, API-first approaches, reusable components and data portability in order to reduce unnecessary vendor lock-in. Risk and technical debt management. Ability to identify, assess and manage technical risk, service risk and technical debt, and to take proportionate action to improve resilience and maintainability. AI and data governance. Ability to assess where AI can deliver operational benefit and to ensure adoption is safe, lawful, ethical, secure and auditable. Leadership and capability building. Ability to lead technical communities, develop senior engineers and architects, and foster a culture of collaboration, accountability and continuous improvement. Communication. Excellent written and verbal communication skills, with the ability to work credibly across technical, operational and senior stakeholder groups. Technical knowledge Experience of modern development ecosystems, with sufficient technical depth to lead teams using technologies such as Python, TypeScript, React and relational or non-relational database technologies. Experience of platform and delivery tooling such as Docker, Kubernetes, GitHub Actions, Tekton and associated DevSecOps toolchains. Working knowledge of enterprise and SaaS platforms relevant to the environment, including Microsoft Power Platform and Palantir Foundry, with the ability to judge where platform use is appropriate and where bespoke engineering or open approaches are preferable. Understanding of cyber security, identity, hosting, networking and service management considerations relevant to live Defence digital services. Experience of Royal Navy or wider MOD digital transformation, governance and assurance processes. Knowledge of DDaT capability frameworks, enterprise architecture practice and relevant cross-government digital standards. Experience of working in environments where services must balance innovation, pace, operational resilience and formal assurance requirements. Top 3 qualities needed for this role Technical Leadership Communication and collaboration skills MOD experience Minimum security level: SC Benefits Salary £120k 10% Bonus 25 days holiday increasing annually up to a maximum of 30 days Support for flexible working 2 paid charity days a year 16 weeks of full pay Maternity leave 2 weeks full pay Paternity leave Annual bonus - all employees are eligible (following successful completion of probationary period) - level varies by position and is dependent on company performance Discretionary bonus for exceptional performance Employee Ownership Trust - from day 1 employees share in the benefits of the company Support with your professional development including training and certifications and attendance at conferences Diverse and interesting projects which give you an opportunity to make a difference
18/07/2026
Full time
We are seeking an experienced Technical Director to provide strategic technical leadership for the Royal Navy's DNA software house Summary DIGI2AL is seeking an experienced Technical Director to provide strategic technical leadership for the Royal Navy's Data and Navy Applications software house. This is a senior leadership role within a large-scale, multi-year delivery environment supporting thousands of uniformed personnel and civil servants. The postholder will set the technical direction for the software house, ensuring that digital products and services are aligned to Royal Navy priorities, wider Defence policy and standards, and good practice in secure, modern service delivery. Scope The Technical Director will define and maintain the target technical architecture and roadmap for the software house. They will translate operational and business needs into a coherent technical strategy, ensuring that platforms, products, data, integration patterns and engineering approaches support long-term mission outcomes as well as immediate delivery priorities. The role will provide technical leadership across complex code, low-code, data and platform services, ensuring solutions are secure, scalable, supportable and sustainable through life. A core part of the role is to establish a clear and repeatable approach to assessing technology demand. The postholder will work with stakeholders across Navy Digital, the Royal Navy and wider Defence to evaluate user needs, operational value, feasibility, security implications, whole-life cost and architectural fit, and to determine whether capabilities should be built, bought, configured, integrated, reused or retired. They will ensure that investment and delivery decisions are evidence-based, proportionate and aligned to enterprise principles, standards and value for money. The Technical Director will lead the software house's approach to modern engineering and emerging technologies, including the responsible adoption of artificial intelligence. This includes identifying appropriate AI use cases, shaping the technical enablers required for AI-enabled services, and ensuring that any adoption of AI is safe, lawful, ethical, auditable and aligned to Defence security, data and governance requirements. The role will also reduce strategic dependency on individual suppliers and platforms by promoting open standards, modular design, interoperable interfaces, reusable components and data portability. The postholder will ensure that technology choices support flexibility, resilience and maintainability, and that the software house is able to evolve its services without unnecessary vendor lock-in. As the senior technical authority within the organisation, the Technical Director will provide governance, assurance and risk management across the delivery portfolio. They will work closely with product, delivery, security and architecture leads to improve engineering maturity, manage technical debt, strengthen DevSecOps practices, and maintain compliance with relevant Royal Navy, MOD and cross-government standards. The postholder will engage confidently with senior stakeholders across the Royal Navy, MOD and suppliers, providing clear advice on technical options, risks, trade-offs and delivery implications. They will foster a culture of technical excellence, collaboration and continuous improvement, and will support the development of a sustainable software house capability able to deliver enduring operational value. Experience Strategic technical leadership. Significant experience of setting technical direction, roadmap and architectural standards in a complex digital environment, ideally within Defence, national security, central government or another highly regulated organisation. Software delivery leadership. Proven track record of leading multiple technical teams across the full lifecycle of digital products and services, from discovery and investment decisions through to live operation, support and continual improvement. Architecture and governance. Experience of acting as a senior technical authority, providing architectural leadership, design assurance and governance across a portfolio of products, platforms and services. Demand assessment and prioritisation. Experience of assessing user and organisational needs and translating them into clear technical options and delivery priorities, including decisions on whether to build, buy, configure, integrate, reuse or retire capabilities. Modern software engineering. Strong understanding of modern software engineering and platform delivery, including cloud-hosted services, APIs, integration patterns, test automation, CI/CD and DevSecOps. Data and AI adoption. Experience of leading data-enabled services and introducing emerging technologies, including artificial intelligence or machine learning, with appropriate attention to governance, assurance, security and ethics. Commercial and supplier awareness. Experience of working with third party suppliers and platform vendors, with the judgement to balance pace of delivery, value for money, operational need and long term technical resilience. Senior stakeholder engagement. Strong experience of advising senior leaders and governance forums, including explaining complex technical issues, risks and trade-offs in clear and accessible language. Essential skills Technical strategy. Ability to define a coherent target architecture and technology roadmap which supports operational priorities, enterprise standards and long-term sustainability. Architectural decision-making. Ability to make and govern sound technical decisions across applications, data, integration, platforms and security within a complex and regulated environment. Open and interoperable design. Ability to promote open standards, modular architecture, API-first approaches, reusable components and data portability in order to reduce unnecessary vendor lock-in. Risk and technical debt management. Ability to identify, assess and manage technical risk, service risk and technical debt, and to take proportionate action to improve resilience and maintainability. AI and data governance. Ability to assess where AI can deliver operational benefit and to ensure adoption is safe, lawful, ethical, secure and auditable. Leadership and capability building. Ability to lead technical communities, develop senior engineers and architects, and foster a culture of collaboration, accountability and continuous improvement. Communication. Excellent written and verbal communication skills, with the ability to work credibly across technical, operational and senior stakeholder groups. Technical knowledge Experience of modern development ecosystems, with sufficient technical depth to lead teams using technologies such as Python, TypeScript, React and relational or non-relational database technologies. Experience of platform and delivery tooling such as Docker, Kubernetes, GitHub Actions, Tekton and associated DevSecOps toolchains. Working knowledge of enterprise and SaaS platforms relevant to the environment, including Microsoft Power Platform and Palantir Foundry, with the ability to judge where platform use is appropriate and where bespoke engineering or open approaches are preferable. Understanding of cyber security, identity, hosting, networking and service management considerations relevant to live Defence digital services. Experience of Royal Navy or wider MOD digital transformation, governance and assurance processes. Knowledge of DDaT capability frameworks, enterprise architecture practice and relevant cross-government digital standards. Experience of working in environments where services must balance innovation, pace, operational resilience and formal assurance requirements. Top 3 qualities needed for this role Technical Leadership Communication and collaboration skills MOD experience Minimum security level: SC Benefits Salary £120k 10% Bonus 25 days holiday increasing annually up to a maximum of 30 days Support for flexible working 2 paid charity days a year 16 weeks of full pay Maternity leave 2 weeks full pay Paternity leave Annual bonus - all employees are eligible (following successful completion of probationary period) - level varies by position and is dependent on company performance Discretionary bonus for exceptional performance Employee Ownership Trust - from day 1 employees share in the benefits of the company Support with your professional development including training and certifications and attendance at conferences Diverse and interesting projects which give you an opportunity to make a difference
