Title: Principal AI Architect Location: Remote UK, London Preferred Reports To: Global Head of AI & Advisory About Atlas Technica Atlas Technica is the premier Managed Service Provider (MSP) for the alternative investment industry. We power the technology behind the world's leading hedge funds, private equity firms, and family offices. We are currently evolving into the industry's first Managed Intelligence Provider (MIP), architecting the secure "factory floor" for institutional alpha generation. The Opportunity Generative AI is rewriting the playbook for financial services. For our clients, the risk of "leaking alpha" is just as high as the reward. We have launched a dedicated AI Practice to solve the dual challenge of our industry: How do we enable the power of LLMs (Copilot, ChatGPT, Claude) to generate alpha, without compromising security, compliance, or investor trust? We are seeking a Principal AI Architect to serve as the technical anchor of this practice. You will not be a cog in a machine; you will be the chief architect of our technical roadmap. You will design our proprietary Tier 2 (Scoped Governance) and Tier 3 (Forensic Compliance) frameworks and oversee the implementation of all bespoke AI projects-including Private Enclaves, MCP Servers, and Agentic Workflows-for our top tier global clients. Critical Note: This is primarily a hands on builder role. While you will have the mandate to mentor and scale a team in 2026, your first 12 months will be spent architecting, scripting, and deploying. If your recent experience has been primarily managing people rather than building technical solutions, this role is not for you. What You Will Do (The Mission) Architect the "Safe Zone" (Tier 2): Design the technical middleware using Microsoft Graph API (Sites.Selected) to solve the "Permission Inheritance Trap." You will build the frameworks that restrict AI tools to curated, pristine data libraries. Design Forensic Compliance (Tier 3): Implement enterprise grade prompt journaling and audit logging. You will architect the integration between LLMs and archival platforms like Global Relay and Smarsh to ensure prompt journaling meets SEC/FINRA standards (Rule 17a-4). Lead the Atlas AI Lab: Own our internal sandbox environment. You will design, break, and validate new AI security protocols (e.g., Shadow AI blocking via Cato Networks) before they ever touch a client's production environment. Oversee the "AI Project Machine": Act as the lead architect for bespoke client builds. This includes provisioning Azure AI Foundry enclaves and building Model Context Protocol (MCP) servers to connect LLMs to specialized data sources (e.g., Bloomberg, SQL, BioMedical data). Lead Technical Validation: Perform feasibility studies against client tenant infrastructure. You are the "Go/No-Go" gate for technical scoping, ensuring our Bill of Materials (BOM) and hour estimates are accurate. Hands On Execution: Serve as the final escalation point for complex deployments. You will write the PowerShell scripts, configure the Intune MAM policies for mobile AI defense, and build the "Golden Image" for AI ready tenants. What You Bring (The Stack) Microsoft Ecosystem Mastery: Deep expertise in Microsoft 365, SharePoint Online (unique permissions/broken inheritance), and Entra ID (Conditional Access). AI Infrastructure Fluency: Hands on experience with Azure AI Foundry / Studio, the Azure Model Catalog, and frameworks like LangChain. Protocol Knowledge: Familiarity with MCP (Model Context Protocol) to connect LLMs to structured data sources (APIs, Databases). Security & Compliance: Expertise in Microsoft Purview (Sensitivity Labels, DLP) and Defender for Cloud Apps. You understand the difference between "logging" a prompt and "blocking" MNPI. Scripting & API Chops: Fluent in PowerShell and Python. You know how to manipulate the Graph API programmatically. Financial Services Context: Experience in a Hedge Fund, Private Equity firm, or highly regulated MSP is highly desirable. You understand the risk of alpha leakage and the requirements of regulatory audits. Your First 90 Days Month 1: Standardize the "Golden Image" for a Tier 2 Scoped Copilot deployment. Month 2: Complete the first live pilot of a "Private Claude" Enclave using Azure AI Foundry. Month 3: Scale the "AI Project Machine" by onboarding and mentoring your first Forward Deployed Engineering (FDE) resource. Performance-based Bonus Hybrid work environment (if NY/London based) or Remote
Feb 13, 2026
Full time
Title: Principal AI Architect Location: Remote UK, London Preferred Reports To: Global Head of AI & Advisory About Atlas Technica Atlas Technica is the premier Managed Service Provider (MSP) for the alternative investment industry. We power the technology behind the world's leading hedge funds, private equity firms, and family offices. We are currently evolving into the industry's first Managed Intelligence Provider (MIP), architecting the secure "factory floor" for institutional alpha generation. The Opportunity Generative AI is rewriting the playbook for financial services. For our clients, the risk of "leaking alpha" is just as high as the reward. We have launched a dedicated AI Practice to solve the dual challenge of our industry: How do we enable the power of LLMs (Copilot, ChatGPT, Claude) to generate alpha, without compromising security, compliance, or investor trust? We are seeking a Principal AI Architect to serve as the technical anchor of this practice. You will not be a cog in a machine; you will be the chief architect of our technical roadmap. You will design our proprietary Tier 2 (Scoped Governance) and Tier 3 (Forensic Compliance) frameworks and oversee the implementation of all bespoke AI projects-including Private Enclaves, MCP Servers, and Agentic Workflows-for our top tier global clients. Critical Note: This is primarily a hands on builder role. While you will have the mandate to mentor and scale a team in 2026, your first 12 months will be spent architecting, scripting, and deploying. If your recent experience has been primarily managing people rather than building technical solutions, this role is not for you. What You Will Do (The Mission) Architect the "Safe Zone" (Tier 2): Design the technical middleware using Microsoft Graph API (Sites.Selected) to solve the "Permission Inheritance Trap." You will build the frameworks that restrict AI tools to curated, pristine data libraries. Design Forensic Compliance (Tier 3): Implement enterprise grade prompt journaling and audit logging. You will architect the integration between LLMs and archival platforms like Global Relay and Smarsh to ensure prompt journaling meets SEC/FINRA standards (Rule 17a-4). Lead the Atlas AI Lab: Own our internal sandbox environment. You will design, break, and validate new AI security protocols (e.g., Shadow AI blocking via Cato Networks) before they ever touch a client's production environment. Oversee the "AI Project Machine": Act as the lead architect for bespoke client builds. This includes provisioning Azure AI Foundry enclaves and building Model Context Protocol (MCP) servers to connect LLMs to specialized data sources (e.g., Bloomberg, SQL, BioMedical data). Lead Technical Validation: Perform feasibility studies against client tenant infrastructure. You are the "Go/No-Go" gate for technical scoping, ensuring our Bill of Materials (BOM) and hour estimates are accurate. Hands On Execution: Serve as the final escalation point for complex deployments. You will write the PowerShell scripts, configure the Intune MAM policies for mobile AI defense, and build the "Golden Image" for AI ready tenants. What You Bring (The Stack) Microsoft Ecosystem Mastery: Deep expertise in Microsoft 365, SharePoint Online (unique permissions/broken inheritance), and Entra ID (Conditional Access). AI Infrastructure Fluency: Hands on experience with Azure AI Foundry / Studio, the Azure Model Catalog, and frameworks like LangChain. Protocol Knowledge: Familiarity with MCP (Model Context Protocol) to connect LLMs to structured data sources (APIs, Databases). Security & Compliance: Expertise in Microsoft Purview (Sensitivity Labels, DLP) and Defender for Cloud Apps. You understand the difference between "logging" a prompt and "blocking" MNPI. Scripting & API Chops: Fluent in PowerShell and Python. You know how to manipulate the Graph API programmatically. Financial Services Context: Experience in a Hedge Fund, Private Equity firm, or highly regulated MSP is highly desirable. You understand the risk of alpha leakage and the requirements of regulatory audits. Your First 90 Days Month 1: Standardize the "Golden Image" for a Tier 2 Scoped Copilot deployment. Month 2: Complete the first live pilot of a "Private Claude" Enclave using Azure AI Foundry. Month 3: Scale the "AI Project Machine" by onboarding and mentoring your first Forward Deployed Engineering (FDE) resource. Performance-based Bonus Hybrid work environment (if NY/London based) or Remote
Overview Lead Data Scientist, AL/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities-guiding small, high performing teams as they deliver impactful AI initiatives. You'll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). Operationalise ML solutions using MLOps practices-CI/CD for models, reproducible training, and automated deployment. Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. Think strategically about data collection, metric design, and ethical AI-driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered 5+ years of hands on experience in statistical methods and ML engineering across the end to end lifecycle (data prep modelling deployment monitoring). Proficiency in Python and strong command of ML/DS libraries (scikit learn, pandas, numpy, TensorFlow/PyTorch). Experience working with GCP, AWS and Azure data services. Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment). Ability to communicate technical insights clearly to non technical audiences; strong storytelling with data. Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners. Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences). Working knowledge of cloud native software architecture, service design/design thinking, and version control (Git). Experience leading small AI teams and mentoring junior data scientists on AI/ML initiatives. These will help you succeed (nice to haves) Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks). Background in real time analytics and event driven architectures. Prior consulting experience (client facing, pre sales, solutioning) and domain expertise. A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organisations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Feb 13, 2026
Full time
Overview Lead Data Scientist, AL/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities-guiding small, high performing teams as they deliver impactful AI initiatives. You'll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). Operationalise ML solutions using MLOps practices-CI/CD for models, reproducible training, and automated deployment. Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. Think strategically about data collection, metric design, and ethical AI-driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered 5+ years of hands on experience in statistical methods and ML engineering across the end to end lifecycle (data prep modelling deployment monitoring). Proficiency in Python and strong command of ML/DS libraries (scikit learn, pandas, numpy, TensorFlow/PyTorch). Experience working with GCP, AWS and Azure data services. Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment). Ability to communicate technical insights clearly to non technical audiences; strong storytelling with data. Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners. Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences). Working knowledge of cloud native software architecture, service design/design thinking, and version control (Git). Experience leading small AI teams and mentoring junior data scientists on AI/ML initiatives. These will help you succeed (nice to haves) Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks). Background in real time analytics and event driven architectures. Prior consulting experience (client facing, pre sales, solutioning) and domain expertise. A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organisations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Palantir Engineer Specialist - Sr. Consultant - Principal - London About Us Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About Your Role As a Senior Consultant / Principal Consultant - Palantir Engineer, you lead and deliver end-to-end, data-driven solutions using Palantir Foundry in complex client environments. You operate at the intersection of engineering, data, and consulting, working closely with business and technical stakeholders to translate complex problems into scalable, production-ready solutions. You combine strong hands-on technical skills with a consulting mindset, taking ownership of solution design, implementation, and adoption across organisations. Your role will include: Own the end-to-end delivery of Palantir Foundry-based solutions, from problem definition to production Design and implement data pipelines and transformations across diverse data sources Model data using Foundry Ontology concepts to support analytics and operational use cases Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry Collaborate closely with business stakeholders to define requirements, success metrics, and roadmaps Support prototyping, productionisation, and scaling of data-driven applications Ensure solutions meet requirements for data quality, governance, security, and performance Act as a technical advisor within project teams and contribute to best practices What you bring - required Experience & Seniority Proven experience as a Senior Consultant or Principal Consultant in data, analytics, or platform engineering Strong experience delivering client-facing data solutions in complex environments Ability to take ownership and work independently in ambiguous problem spaces Core Data & Analytics Technology Skills Strong programming skills in Python and SQL; PySpark experience required Hands-on experience with Palantir Foundry, including: Pipeline Builder / Code Workbook Data integration and transformation Ontology modelling and data lineage Solid understanding of data architectures, including data lakes, lakehouses, and data warehouses Experience working with APIs, databases, and structured / semi-structured data Engineering & Platform Foundations Experience building scalable ETL/ELT pipelines Familiarity with CI/CD concepts, testing, and production deployments Strong focus on solution quality, maintainability, and performance Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Nice to have Experience with cloud platforms (AWS, Azure, GCP) Familiarity with containerisation (Docker, Kubernetes) Prior experience as a Palantir FDE or in Foundry-heavy delivery roles Domain experience in industries such as Energy, Finance, Public Sector, Healthcare, or Logistics Language & Mobility Very good English skills Willingness to travel for project-related work About your team Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you'll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & engineering, Analytics & Data Science. About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page. Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Apply today!
Feb 13, 2026
Full time
Palantir Engineer Specialist - Sr. Consultant - Principal - London About Us Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About Your Role As a Senior Consultant / Principal Consultant - Palantir Engineer, you lead and deliver end-to-end, data-driven solutions using Palantir Foundry in complex client environments. You operate at the intersection of engineering, data, and consulting, working closely with business and technical stakeholders to translate complex problems into scalable, production-ready solutions. You combine strong hands-on technical skills with a consulting mindset, taking ownership of solution design, implementation, and adoption across organisations. Your role will include: Own the end-to-end delivery of Palantir Foundry-based solutions, from problem definition to production Design and implement data pipelines and transformations across diverse data sources Model data using Foundry Ontology concepts to support analytics and operational use cases Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry Collaborate closely with business stakeholders to define requirements, success metrics, and roadmaps Support prototyping, productionisation, and scaling of data-driven applications Ensure solutions meet requirements for data quality, governance, security, and performance Act as a technical advisor within project teams and contribute to best practices What you bring - required Experience & Seniority Proven experience as a Senior Consultant or Principal Consultant in data, analytics, or platform engineering Strong experience delivering client-facing data solutions in complex environments Ability to take ownership and work independently in ambiguous problem spaces Core Data & Analytics Technology Skills Strong programming skills in Python and SQL; PySpark experience required Hands-on experience with Palantir Foundry, including: Pipeline Builder / Code Workbook Data integration and transformation Ontology modelling and data lineage Solid understanding of data architectures, including data lakes, lakehouses, and data warehouses Experience working with APIs, databases, and structured / semi-structured data Engineering & Platform Foundations Experience building scalable ETL/ELT pipelines Familiarity with CI/CD concepts, testing, and production deployments Strong focus on solution quality, maintainability, and performance Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Nice to have Experience with cloud platforms (AWS, Azure, GCP) Familiarity with containerisation (Docker, Kubernetes) Prior experience as a Palantir FDE or in Foundry-heavy delivery roles Domain experience in industries such as Energy, Finance, Public Sector, Healthcare, or Logistics Language & Mobility Very good English skills Willingness to travel for project-related work About your team Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you'll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & engineering, Analytics & Data Science. About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page. Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Apply today!
We are seeking a visionary Head of Software Engineering to lead our Personalisation team. Reporting to the Senior Head of Software Engineering, you will play a pivotal role in shaping our technology strategy, influencing enterprise-wide engineering practices, and ensuring our capabilities meet the highest standards of security, compliance, and performance. As part of the M&S Software Engineering team, you'll be joining a well-loved historic brand, working on solutions that serves millions of loyal customers and thousands of colleagues! With ethical values that run right through the company's core and technology leaders that truly understand software engineers and engineering, it's an exciting time as we're redefining ourselves into a digital first and engineering-led organisation, with the quality of our engineering team being a key differentiator. We are seeking a passionate Head of Software Engineering who will provide technical expertise, ship thoughtfully and operate with excellence. Being creative, curious, and confident, you will be an integral part of our empowered, self-managing, multi-disciplinary engineering teams - designing, building, releasing, and maintaining products. Working as an equal partner with the Product, Data Science and Delivery teams you will deliver sophisticated and robust solutions to solve daring problems for our customers and colleagues. You'll be joining the leadership for the Personalisation product group, who are responsible for our on-site and in-app personalisation, search and recommendations capabilities. The teams in this area work on some of the most innovative features in M&S, e.g. 1:1 Personalised Search and AI Stylist. Teams within this product group are highly cross functional, blending engineering, data science, product, design and delivery. You'll help deliver the vision of 1:1 personalisation across our estate and help make M&S feel like it was merchandised specifically for each customer individually. You will play a key role in driving our ambition to create a best in class software engineering team, environment, and culture. We are looking for people to join our community of engineers to drive this transformation, build a modern digital ecosystem using exciting technologies and do the best work of their careers. Team 2-8 Engineering Managers (Engineering Managers are responsible for 5-9 Engineers each). 4-8 Squads in a strategic Product Group (50-75 Engineers) What you will be doing The Head of Software Engineering role is the embodiment of 'solving problems through technology' with key responsibilities as follows: Lead, develop and inspire Engineering Managers and teams, fostering a strong learning culture, high quality engineering standards, and clear development and talent strategies. Partner closely with Product, Delivery and Technology leadership to shape strategy, prioritise roadmaps, solve complex problems, and maximise value to colleagues and customers. Drive technical excellence and modern engineering practices, including DevOps, clean code, automation, architecture design, and the adoption of standard frameworks, policies, and North Star principles. Own Product Group outcomes and health, setting OKRs, ensuring reliability, quality, SLI/SLO performance, and full operational support across products. Champion innovation, continuous improvement and agile ways of working, encouraging experimentation, pragmatism, and commercially sound delivery. Build and scale high performing teams and communities, leading recruitment, onboarding, coaching, Communities of Practice, and contributing to wider engineering brand and culture. Tech stack M&S uses a variety of technologies including React, Next.js, Typescript Java Kotlin Python Swift GraphQL Federation Cloud: Azure While M&S is principally a Java environment, the Personalisation group has a mix of Python and Java teams. What you will need to have Significant hands on experience as a polyglot senior software engineer, with strong expertise across front end, back end, APIs, cloud infrastructure, and modern development frameworks. Leading large product areas with 5+ teams Knowledge of Personalisation, Recommendation and Search concepts and their relation to e commerce. Ideally you would have awareness of the current state of the art. Proven ability to design and evolve complex systems, with deep knowledge of software architecture, system design, cloud native patterns, and engineering standard methodologies. Strong experience delivering, operating and scaling software at Product Group level and above, including building, leading and hiring senior engineering teams. Advanced DevOps, testing and reliability engineering expertise, embracing CI/CD, automation, observability, and a "you build it, you run it" ownership model. Experience working closely with Product and Data Science teams, translating ambiguous requirements into robust technical solutions within customer centric environments. Technically credible people leader and servant leader, able to line manage and influence senior engineers and engineering managers, drive technical outcomes, and communicate effectively with both technical and non technical stakeholders. What's In It For You Working at M&S means being part of something bigger - helping to deliver quality, value and service to millions of customers every day. We're inclusive, fast moving and always evolving, with a strong sense of purpose and a focus on doing the right thing. Here are just a few of the benefits that make working here even more rewarding: 20% colleague discount on all M&S products and many third party brands for you and someone in your household, available once you've completed your probation Competitive holiday allowance with the option to buy more Discretionary bonus schemes linked to your performance and ours Strong pension and life assurance to help plan for the future Tailored induction and training to support your development from day one Exclusive perks and savings through our M&S Choices portal Market leading family policies, including parental, adoption and neonatal leave 24/7 wellbeing support, including virtual GP access and mental health services One paid volunteer day a year to support a cause that matters to you Everyone's Welcome We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
Feb 12, 2026
Full time
We are seeking a visionary Head of Software Engineering to lead our Personalisation team. Reporting to the Senior Head of Software Engineering, you will play a pivotal role in shaping our technology strategy, influencing enterprise-wide engineering practices, and ensuring our capabilities meet the highest standards of security, compliance, and performance. As part of the M&S Software Engineering team, you'll be joining a well-loved historic brand, working on solutions that serves millions of loyal customers and thousands of colleagues! With ethical values that run right through the company's core and technology leaders that truly understand software engineers and engineering, it's an exciting time as we're redefining ourselves into a digital first and engineering-led organisation, with the quality of our engineering team being a key differentiator. We are seeking a passionate Head of Software Engineering who will provide technical expertise, ship thoughtfully and operate with excellence. Being creative, curious, and confident, you will be an integral part of our empowered, self-managing, multi-disciplinary engineering teams - designing, building, releasing, and maintaining products. Working as an equal partner with the Product, Data Science and Delivery teams you will deliver sophisticated and robust solutions to solve daring problems for our customers and colleagues. You'll be joining the leadership for the Personalisation product group, who are responsible for our on-site and in-app personalisation, search and recommendations capabilities. The teams in this area work on some of the most innovative features in M&S, e.g. 1:1 Personalised Search and AI Stylist. Teams within this product group are highly cross functional, blending engineering, data science, product, design and delivery. You'll help deliver the vision of 1:1 personalisation across our estate and help make M&S feel like it was merchandised specifically for each customer individually. You will play a key role in driving our ambition to create a best in class software engineering team, environment, and culture. We are looking for people to join our community of engineers to drive this transformation, build a modern digital ecosystem using exciting technologies and do the best work of their careers. Team 2-8 Engineering Managers (Engineering Managers are responsible for 5-9 Engineers each). 4-8 Squads in a strategic Product Group (50-75 Engineers) What you will be doing The Head of Software Engineering role is the embodiment of 'solving problems through technology' with key responsibilities as follows: Lead, develop and inspire Engineering Managers and teams, fostering a strong learning culture, high quality engineering standards, and clear development and talent strategies. Partner closely with Product, Delivery and Technology leadership to shape strategy, prioritise roadmaps, solve complex problems, and maximise value to colleagues and customers. Drive technical excellence and modern engineering practices, including DevOps, clean code, automation, architecture design, and the adoption of standard frameworks, policies, and North Star principles. Own Product Group outcomes and health, setting OKRs, ensuring reliability, quality, SLI/SLO performance, and full operational support across products. Champion innovation, continuous improvement and agile ways of working, encouraging experimentation, pragmatism, and commercially sound delivery. Build and scale high performing teams and communities, leading recruitment, onboarding, coaching, Communities of Practice, and contributing to wider engineering brand and culture. Tech stack M&S uses a variety of technologies including React, Next.js, Typescript Java Kotlin Python Swift GraphQL Federation Cloud: Azure While M&S is principally a Java environment, the Personalisation group has a mix of Python and Java teams. What you will need to have Significant hands on experience as a polyglot senior software engineer, with strong expertise across front end, back end, APIs, cloud infrastructure, and modern development frameworks. Leading large product areas with 5+ teams Knowledge of Personalisation, Recommendation and Search concepts and their relation to e commerce. Ideally you would have awareness of the current state of the art. Proven ability to design and evolve complex systems, with deep knowledge of software architecture, system design, cloud native patterns, and engineering standard methodologies. Strong experience delivering, operating and scaling software at Product Group level and above, including building, leading and hiring senior engineering teams. Advanced DevOps, testing and reliability engineering expertise, embracing CI/CD, automation, observability, and a "you build it, you run it" ownership model. Experience working closely with Product and Data Science teams, translating ambiguous requirements into robust technical solutions within customer centric environments. Technically credible people leader and servant leader, able to line manage and influence senior engineers and engineering managers, drive technical outcomes, and communicate effectively with both technical and non technical stakeholders. What's In It For You Working at M&S means being part of something bigger - helping to deliver quality, value and service to millions of customers every day. We're inclusive, fast moving and always evolving, with a strong sense of purpose and a focus on doing the right thing. Here are just a few of the benefits that make working here even more rewarding: 20% colleague discount on all M&S products and many third party brands for you and someone in your household, available once you've completed your probation Competitive holiday allowance with the option to buy more Discretionary bonus schemes linked to your performance and ours Strong pension and life assurance to help plan for the future Tailored induction and training to support your development from day one Exclusive perks and savings through our M&S Choices portal Market leading family policies, including parental, adoption and neonatal leave 24/7 wellbeing support, including virtual GP access and mental health services One paid volunteer day a year to support a cause that matters to you Everyone's Welcome We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
Principal Technical Architect - Home Office - G6 £76,117 for National Roles or £80,237 for London Roles Published on 3 February 2026 Deadline 19 February 2026 Location Croydon CR0 2WF, Liverpool L3 9AF, Manchester M5 3LZ, Sheffield S3 8NU, Southport PR8 2HH, Glasgow G4 0BT, Cardiff CF24 0AB. About the job Job summary We're recruiting Principal Technical Architectsacrossfour digital portfolios: Migration and Borders Technology, Police and Public Protection Technology, Data Services and AnalyticsandAutomation and Innovation. They require strong technical leadership, the ability to work across complex technology landscapes, and the capability to drive meaningful transformation through secure, user centred and scalable solutions. Migration and Borders Technology Portfolio (MBTP) MBTP delivers the technology, data and cyber services that protect the UK border, support legitimate travel and trade, and enable people to prove their status to live and work in the UK. They manage high volume systems that handle people, passports and passenger movements, serving hundreds of thousands of users daily. Police and Public Protection Technology Portfolio (PPPT) PPPT supports critical national policing and public safety systems, including Law Enforcement Data Service; the Police National Database; Automatic Number Plate Recognition; offender and safeguarding systems; and key homeland security and international data sharing capabilities. PPPT designs, builds and operates modern, secure digital services at national scale that underpin millions of daily operational decisions across UK policing and help protect the public and manage risk. Data Services and Analytics (DSA) DSA is one of government's leading data analytics centres, central to the Home Office's data transformation. It provides strategic value by delivering innovative data insight services that help solve real government challenges, including the design and adoption of modern data architectures and medallion patterns. Automation and Innovation This portfolio turns emerging technologies into practical, high impact solutions by prototyping and deploying automation and advanced technologies to deliver significant efficiency savings. Working with the Digital Innovation Lab, you will operate at the forefront of public sector innovation, translating complex technologies into business outcomes through strong full stack architecture knowledge and a strategic, forward thinking approach. They deliver integrated, resilient services that support national security and public service transformation. Where business needs allow, some roles may be suitable for a combination of office and home-based working. Where this is the case, employees will be expected to spend a minimum of 60% of their working time in the office. Applicants can raise any queries to the email address at the bottom of the advert. Watch this short video to hear from members of Home Office Digital talking about the projects they work on and their experience of working here: Working for Home Office Digital. As Principal Technical Architect, you will define and execute the technical strategy for your responsibility, collaborating with senior leadership and diverse teams to ensure alignment with organisational, cross departmental, and government wide objectives. You will proactively seek opportunities to leverage emerging technologies such as cloud, AI, and IoT. You will ensure that technical solutions are secure, user focused, and capable of adapting to evolving business needs. You will lead the design and review processes for complex systems and infrastructure, championing architectural best practices and governance. By bridging technical and business perspectives, you will resolve high risk issues and shape initiatives that drive transformation. Your role includes guiding and inspiring other architects, facilitating professional growth, and establishing an environment where innovative thinking thrives. Person specification Main Responsibilities Own and deliver the overarching technical strategy, guiding architectural decisions that balance risk, complexity, and delivery timelines. Lead governance and assurance processes, ensuring solutions remain secure, robust, and aligned with enterprise architecture principles. Collaborate with senior stakeholders to advocate for digital transformation initiatives, influencing decisions through clear, data-driven insights. Mentor and guide architects and engineering teams, nurturing a culture of excellence, innovation, and continuous learning. Oversee integration of new systems, developing detailed plans that align with broader organisational and cross-government strategies. Assess current systems to identify areas for improvement, analyse potential risks, and promote emerging best practices in the field. Facilitate stakeholder discussions, serving as the key escalation point for complex or high risk design challenges. Drive continuous improvement, incorporating lessons learned into future strategies and ensuring consistency in architecture across multiple domains. Significant experience of designing cloud platform and applications architectures, across CSPs such as AWS and MS Azure, ideally evidencing microservice and serverless architectures deployed at scale. Shown leadership in delivering complex, innovative technical architectures at scale, inspiring technical excellence and forward thinking design. Strategic foresight to anticipate future technologies and identify opportunities for transformation or optimisation. Experience managing diverse technology landscapes, including third party suppliers, cloud environments, and cross departmental teams. Deep knowledge of engineering principles, agile methods, DevOps, and secure-by-design approaches, ensuring robust, resilient solutions. Track record of delivering solutions on time and within scope, balancing budget, security, and quality considerations. Strong communication and stakeholder engagement skills, translating complex technical concepts into clear, actionable insights. Ownership of technical roadmaps and strategies, ensuring solutions align with enterprise objectives and evolving user needs.
Feb 06, 2026
Full time
Principal Technical Architect - Home Office - G6 £76,117 for National Roles or £80,237 for London Roles Published on 3 February 2026 Deadline 19 February 2026 Location Croydon CR0 2WF, Liverpool L3 9AF, Manchester M5 3LZ, Sheffield S3 8NU, Southport PR8 2HH, Glasgow G4 0BT, Cardiff CF24 0AB. About the job Job summary We're recruiting Principal Technical Architectsacrossfour digital portfolios: Migration and Borders Technology, Police and Public Protection Technology, Data Services and AnalyticsandAutomation and Innovation. They require strong technical leadership, the ability to work across complex technology landscapes, and the capability to drive meaningful transformation through secure, user centred and scalable solutions. Migration and Borders Technology Portfolio (MBTP) MBTP delivers the technology, data and cyber services that protect the UK border, support legitimate travel and trade, and enable people to prove their status to live and work in the UK. They manage high volume systems that handle people, passports and passenger movements, serving hundreds of thousands of users daily. Police and Public Protection Technology Portfolio (PPPT) PPPT supports critical national policing and public safety systems, including Law Enforcement Data Service; the Police National Database; Automatic Number Plate Recognition; offender and safeguarding systems; and key homeland security and international data sharing capabilities. PPPT designs, builds and operates modern, secure digital services at national scale that underpin millions of daily operational decisions across UK policing and help protect the public and manage risk. Data Services and Analytics (DSA) DSA is one of government's leading data analytics centres, central to the Home Office's data transformation. It provides strategic value by delivering innovative data insight services that help solve real government challenges, including the design and adoption of modern data architectures and medallion patterns. Automation and Innovation This portfolio turns emerging technologies into practical, high impact solutions by prototyping and deploying automation and advanced technologies to deliver significant efficiency savings. Working with the Digital Innovation Lab, you will operate at the forefront of public sector innovation, translating complex technologies into business outcomes through strong full stack architecture knowledge and a strategic, forward thinking approach. They deliver integrated, resilient services that support national security and public service transformation. Where business needs allow, some roles may be suitable for a combination of office and home-based working. Where this is the case, employees will be expected to spend a minimum of 60% of their working time in the office. Applicants can raise any queries to the email address at the bottom of the advert. Watch this short video to hear from members of Home Office Digital talking about the projects they work on and their experience of working here: Working for Home Office Digital. As Principal Technical Architect, you will define and execute the technical strategy for your responsibility, collaborating with senior leadership and diverse teams to ensure alignment with organisational, cross departmental, and government wide objectives. You will proactively seek opportunities to leverage emerging technologies such as cloud, AI, and IoT. You will ensure that technical solutions are secure, user focused, and capable of adapting to evolving business needs. You will lead the design and review processes for complex systems and infrastructure, championing architectural best practices and governance. By bridging technical and business perspectives, you will resolve high risk issues and shape initiatives that drive transformation. Your role includes guiding and inspiring other architects, facilitating professional growth, and establishing an environment where innovative thinking thrives. Person specification Main Responsibilities Own and deliver the overarching technical strategy, guiding architectural decisions that balance risk, complexity, and delivery timelines. Lead governance and assurance processes, ensuring solutions remain secure, robust, and aligned with enterprise architecture principles. Collaborate with senior stakeholders to advocate for digital transformation initiatives, influencing decisions through clear, data-driven insights. Mentor and guide architects and engineering teams, nurturing a culture of excellence, innovation, and continuous learning. Oversee integration of new systems, developing detailed plans that align with broader organisational and cross-government strategies. Assess current systems to identify areas for improvement, analyse potential risks, and promote emerging best practices in the field. Facilitate stakeholder discussions, serving as the key escalation point for complex or high risk design challenges. Drive continuous improvement, incorporating lessons learned into future strategies and ensuring consistency in architecture across multiple domains. Significant experience of designing cloud platform and applications architectures, across CSPs such as AWS and MS Azure, ideally evidencing microservice and serverless architectures deployed at scale. Shown leadership in delivering complex, innovative technical architectures at scale, inspiring technical excellence and forward thinking design. Strategic foresight to anticipate future technologies and identify opportunities for transformation or optimisation. Experience managing diverse technology landscapes, including third party suppliers, cloud environments, and cross departmental teams. Deep knowledge of engineering principles, agile methods, DevOps, and secure-by-design approaches, ensuring robust, resilient solutions. Track record of delivering solutions on time and within scope, balancing budget, security, and quality considerations. Strong communication and stakeholder engagement skills, translating complex technical concepts into clear, actionable insights. Ownership of technical roadmaps and strategies, ensuring solutions align with enterprise objectives and evolving user needs.
