Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Mar 22, 2026
Full time
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Mar 22, 2026
Full time
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Senior Full Stack Engineer - House ChannelOps Posted: 08/03/2026 Location The senior Full Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a Full Stack Engineer who is comfortable operating at the intersection of a product that drives customers' financial spend in the cloud and allows them to succeed in configuring, visualising and operating their business FinOps needs. This role facilitates the creation of interfaces and back end infrastructure that remove friction and allow ease of such configurations. We want to delight customers in how easy it is to set up, operate and observe the flow of financial cloud spend data. The role will help us evolve our DoiT Cloud Intelligence (DCI) product. You'll work with the Billing and Partner team to collaborate on design, build prototypes, deliver scalable back end services and great UI/UX experiences and think how to present data in the clearest way. Beyond this, you'll communicate with technical leaders on best practices and set the highest standard and diligence in full stack engineering. This is a key role as we grow. DoiT Cloud Intelligence for ChannelOps is a data driven, unified system that offers provisioning, billing and invoicing, reporting, automation and partner enablement, connecting operations to revenue and compliance. It powers resellers, distributors, and enterprises to effectively manage, sell, and optimise multi cloud channels. Responsibilities Design, build, and scale back end services in Golang and UI/UX experiences in React to configure, operate and delight customers on the journey of their FinOps data success Work closely with the Billing and Partner team on delivering solutions that are modern, scale and run efficiently. Learn and understand the domain in which the work happens and what the product is truly about. Be able to adapt fast in a market where we are the leaders Contribute to discussions and groups of your peers at DoiT that focus on the front end and learn continuously about how the different parts of the product work together and are evolving Think carefully about guard rails for customers interacting with the product, allowing them to succeed Drive best practices and industry standards forward Qualifications 7+ years of experience as a full stack engineer, with exposure to SaaS products that are used by many customers Strong programming skills in Golang and React ideal An understanding of cloud infrastructure is beneficial (AWS and GCP preferred). Comfortable collaborating across product and engineering teams. Excellent communication skills in English, both written and verbal. Self motivated, adaptable, and effective in a fast moving environment. A great sense of humour and enjoys having fun at work Bonus Points Knowledge of FinOps and FinOps products would be a strong plus. BA/BS degree or equivalent practical experience. Demonstrating a portfolio of what you've built in your career so far Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values . We thought so too, but we're here and happy we hit that 'apply' button. Unlimited PTO Flexible Working Options Health Insurance Employee Stock Option Plan Professional Development Stipend DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognising that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. DoiT Cloud Intelligence helps you look beyond surface level metrics like high CPU, IOPS, or GPU utilisation to uncover the hidden inefficiencies in your cloud workloads.
Mar 21, 2026
Full time
Senior Full Stack Engineer - House ChannelOps Posted: 08/03/2026 Location The senior Full Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a Full Stack Engineer who is comfortable operating at the intersection of a product that drives customers' financial spend in the cloud and allows them to succeed in configuring, visualising and operating their business FinOps needs. This role facilitates the creation of interfaces and back end infrastructure that remove friction and allow ease of such configurations. We want to delight customers in how easy it is to set up, operate and observe the flow of financial cloud spend data. The role will help us evolve our DoiT Cloud Intelligence (DCI) product. You'll work with the Billing and Partner team to collaborate on design, build prototypes, deliver scalable back end services and great UI/UX experiences and think how to present data in the clearest way. Beyond this, you'll communicate with technical leaders on best practices and set the highest standard and diligence in full stack engineering. This is a key role as we grow. DoiT Cloud Intelligence for ChannelOps is a data driven, unified system that offers provisioning, billing and invoicing, reporting, automation and partner enablement, connecting operations to revenue and compliance. It powers resellers, distributors, and enterprises to effectively manage, sell, and optimise multi cloud channels. Responsibilities Design, build, and scale back end services in Golang and UI/UX experiences in React to configure, operate and delight customers on the journey of their FinOps data success Work closely with the Billing and Partner team on delivering solutions that are modern, scale and run efficiently. Learn and understand the domain in which the work happens and what the product is truly about. Be able to adapt fast in a market where we are the leaders Contribute to discussions and groups of your peers at DoiT that focus on the front end and learn continuously about how the different parts of the product work together and are evolving Think carefully about guard rails for customers interacting with the product, allowing them to succeed Drive best practices and industry standards forward Qualifications 7+ years of experience as a full stack engineer, with exposure to SaaS products that are used by many customers Strong programming skills in Golang and React ideal An understanding of cloud infrastructure is beneficial (AWS and GCP preferred). Comfortable collaborating across product and engineering teams. Excellent communication skills in English, both written and verbal. Self motivated, adaptable, and effective in a fast moving environment. A great sense of humour and enjoys having fun at work Bonus Points Knowledge of FinOps and FinOps products would be a strong plus. BA/BS degree or equivalent practical experience. Demonstrating a portfolio of what you've built in your career so far Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values . We thought so too, but we're here and happy we hit that 'apply' button. Unlimited PTO Flexible Working Options Health Insurance Employee Stock Option Plan Professional Development Stipend DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognising that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. DoiT Cloud Intelligence helps you look beyond surface level metrics like high CPU, IOPS, or GPU utilisation to uncover the hidden inefficiencies in your cloud workloads.
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Global Delivery Director - GenAI Capability Enablement is responsible for driving the design, delivery, and scale of BCG's global Generative AI (GenAI) enablement strategy. This role ensures that GenAI technologies are deployed securely, responsibly, and efficiently across BCG: enabling business value creation, productivity, and innovation at scale. The Director will oversee the end-to-end enablement of GenAI capabilities: from model integration and agent orchestration to governance, security, and adoption, across BCG Core, BCG X, and CT functions. This includes establishing platform standards, ensuring responsible AI use, and orchestrating a cohesive GenAI ecosystem that supports use case acceleration across lines of business. The role requires strong cross-functional leadership, technical depth in AI platform engineering, and the ability to translate emerging AI technologies into scalable enterprise capabilities. Key Responsibilities Strategic Leadership & Transformation Define and execute BCG's global GenAI enablement strategy, aligning with firmwide AI, data, and digital transformation objectives. Drive the design and delivery of scalable GenAI platforms that enable secure, compliant, and reliable use of foundation models and AI agents across the enterprise. Establish an enterprise GenAI architecture and delivery framework, including model orchestration, retrieval-augmented generation (RAG), prompt engineering, and agent mesh design at scale. Work closely with the Capabilities Team to stay informed on the latest capability releases and ensure alignment on enablement requirements. Build alignment with functional and business stakeholders to ensure AI capabilities deliver measurable value and are adopted responsibly. Advise on best architecture practices based on end-user feedback, and feed these insights back to establish benchmarks for future capability builds with Capabilities team. Champion Responsible AI principles, ensuring fairness, transparency, and accountability are embedded in all AI-driven solutions. AI Platform Engineering & Enablement Lead the implementation of GenAI platform services, including model lifecycle management, API integration, vector databases, and prompt orchestration frameworks. Enable and govern the AI agent ecosystem, ensuring interoperability, security, and performance consistency across multiple use cases and teams. Collaborate with the Data, Security, Capabilities Build, and Infrastructure teams to ensure secure data access, compliance alignment, and protection of sensitive information used in AI workflows. Drive automation of AI deployment pipelines, environment provisioning, and monitoring for large-scale AI workloads across cloud and hybrid environments. Operational Excellence & Reliability Apply Site Reliability Engineering (SRE) principles to AI platform operations: ensuring high availability, observability, and proactive incident response. Define service-level objectives (SLOs) and reliability metrics for GenAI services and tools. Establish continuous evaluation of model performance, drift detection, and quality assurance of AI outputs. Oversee change management, release readiness, and lifecycle governance for AI agents, APIs, and foundational services. Governance, Compliance & Responsible AI Partner with Legal, Compliance, and Risk functions to implement policies governing data use, model transparency, and AI ethics. Ensure compliance with evolving regulations (e.g., EU AI Act, GDPR, ISO 42001) and BCG's internal Responsible AI framework. Implement automated monitoring and policy enforcement mechanisms for AI access, model usage, and data governance. Lead regular architecture and risk reviews to assess AI service exposure and maintain compliance posture. Financial & Vendor Management Manage the GenAI platform investment portfolio and operational budgets, ensuring scalability and long-term ROI. Evaluate and manage relationships with AI infrastructure, foundation model, and cloud providers (e.g., OpenAI, Anthropic, AWS, Azure, Google). Lead vendor performance management, cost optimization, and contractual governance for AI and data partnerships. Leadership & Talent Development Build and lead a global team of AI engineers, ML operations specialists, and solution architects, fostering a culture of innovation, experimentation, and delivery excellence. Drive continuous learning and upskilling initiatives across the broader organization on AI literacy, prompt design, and responsible use of GenAI tools. Collaborate with Product, Data, and Business leadership to integrate GenAI capabilities into BCG's digital platforms and client-facing solutions. What You'll Bring 10+ years of experience in AI, ML, or technology platform engineering , with at least 5 years in leadership roles delivering enterprise-scale solutions. Proven experience delivering AI/ML or GenAI platforms at scale, preferably in global or hybrid cloud environments. Strong understanding of LLM architectures, agent-based systems, prompt engineering, and vector-based search technologies. Experience with AI governance, MLOps, and responsible AI frameworks. Demonstrated ability to lead cross-functional delivery spanning IT, security, data, and business domains. Excellent communication and stakeholder management skills, capable of translating complex AI concepts into executive-level narratives. Preferred Qualifications Advanced degree in Computer Science, AI, Data Science, or a related technical discipline. Certifications or experience in cloud AI services (AWS, Azure, GCP), and MLOps/AI platform engineering. Hands-on familiarity with LLM orchestration frameworks (LangChain, LlamaIndex, OpenAI APIs, Bedrock, Azure OpenAI). Experience managing multi-model ecosystems and integrating external and proprietary models. Familiarity with AI observability tools, vector databases, and embedding pipelines. Additional info Work Environment & Additional Information Hybrid or on-site work model. Occasional travel may be required for business, vendor, or team engagement. Must be comfortable working in a fast-evolving AI landscape, balancing innovation speed with governance and operational stability. Role Impact The Global Delivery Director - GenAI Capability Enablement plays a pivotal role in shaping how BCG operationalizes Generative AI at scale. By building secure, governed, and high-performance AI platforms, this leader ensures BCG can innovate responsibly, accelerate digital transformation, and maintain a trusted AI ecosystem that empowers teams globally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Mar 21, 2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Global Delivery Director - GenAI Capability Enablement is responsible for driving the design, delivery, and scale of BCG's global Generative AI (GenAI) enablement strategy. This role ensures that GenAI technologies are deployed securely, responsibly, and efficiently across BCG: enabling business value creation, productivity, and innovation at scale. The Director will oversee the end-to-end enablement of GenAI capabilities: from model integration and agent orchestration to governance, security, and adoption, across BCG Core, BCG X, and CT functions. This includes establishing platform standards, ensuring responsible AI use, and orchestrating a cohesive GenAI ecosystem that supports use case acceleration across lines of business. The role requires strong cross-functional leadership, technical depth in AI platform engineering, and the ability to translate emerging AI technologies into scalable enterprise capabilities. Key Responsibilities Strategic Leadership & Transformation Define and execute BCG's global GenAI enablement strategy, aligning with firmwide AI, data, and digital transformation objectives. Drive the design and delivery of scalable GenAI platforms that enable secure, compliant, and reliable use of foundation models and AI agents across the enterprise. Establish an enterprise GenAI architecture and delivery framework, including model orchestration, retrieval-augmented generation (RAG), prompt engineering, and agent mesh design at scale. Work closely with the Capabilities Team to stay informed on the latest capability releases and ensure alignment on enablement requirements. Build alignment with functional and business stakeholders to ensure AI capabilities deliver measurable value and are adopted responsibly. Advise on best architecture practices based on end-user feedback, and feed these insights back to establish benchmarks for future capability builds with Capabilities team. Champion Responsible AI principles, ensuring fairness, transparency, and accountability are embedded in all AI-driven solutions. AI Platform Engineering & Enablement Lead the implementation of GenAI platform services, including model lifecycle management, API integration, vector databases, and prompt orchestration frameworks. Enable and govern the AI agent ecosystem, ensuring interoperability, security, and performance consistency across multiple use cases and teams. Collaborate with the Data, Security, Capabilities Build, and Infrastructure teams to ensure secure data access, compliance alignment, and protection of sensitive information used in AI workflows. Drive automation of AI deployment pipelines, environment provisioning, and monitoring for large-scale AI workloads across cloud and hybrid environments. Operational Excellence & Reliability Apply Site Reliability Engineering (SRE) principles to AI platform operations: ensuring high availability, observability, and proactive incident response. Define service-level objectives (SLOs) and reliability metrics for GenAI services and tools. Establish continuous evaluation of model performance, drift detection, and quality assurance of AI outputs. Oversee change management, release readiness, and lifecycle governance for AI agents, APIs, and foundational services. Governance, Compliance & Responsible AI Partner with Legal, Compliance, and Risk functions to implement policies governing data use, model transparency, and AI ethics. Ensure compliance with evolving regulations (e.g., EU AI Act, GDPR, ISO 42001) and BCG's internal Responsible AI framework. Implement automated monitoring and policy enforcement mechanisms for AI access, model usage, and data governance. Lead regular architecture and risk reviews to assess AI service exposure and maintain compliance posture. Financial & Vendor Management Manage the GenAI platform investment portfolio and operational budgets, ensuring scalability and long-term ROI. Evaluate and manage relationships with AI infrastructure, foundation model, and cloud providers (e.g., OpenAI, Anthropic, AWS, Azure, Google). Lead vendor performance management, cost optimization, and contractual governance for AI and data partnerships. Leadership & Talent Development Build and lead a global team of AI engineers, ML operations specialists, and solution architects, fostering a culture of innovation, experimentation, and delivery excellence. Drive continuous learning and upskilling initiatives across the broader organization on AI literacy, prompt design, and responsible use of GenAI tools. Collaborate with Product, Data, and Business leadership to integrate GenAI capabilities into BCG's digital platforms and client-facing solutions. What You'll Bring 10+ years of experience in AI, ML, or technology platform engineering , with at least 5 years in leadership roles delivering enterprise-scale solutions. Proven experience delivering AI/ML or GenAI platforms at scale, preferably in global or hybrid cloud environments. Strong understanding of LLM architectures, agent-based systems, prompt engineering, and vector-based search technologies. Experience with AI governance, MLOps, and responsible AI frameworks. Demonstrated ability to lead cross-functional delivery spanning IT, security, data, and business domains. Excellent communication and stakeholder management skills, capable of translating complex AI concepts into executive-level narratives. Preferred Qualifications Advanced degree in Computer Science, AI, Data Science, or a related technical discipline. Certifications or experience in cloud AI services (AWS, Azure, GCP), and MLOps/AI platform engineering. Hands-on familiarity with LLM orchestration frameworks (LangChain, LlamaIndex, OpenAI APIs, Bedrock, Azure OpenAI). Experience managing multi-model ecosystems and integrating external and proprietary models. Familiarity with AI observability tools, vector databases, and embedding pipelines. Additional info Work Environment & Additional Information Hybrid or on-site work model. Occasional travel may be required for business, vendor, or team engagement. Must be comfortable working in a fast-evolving AI landscape, balancing innovation speed with governance and operational stability. Role Impact The Global Delivery Director - GenAI Capability Enablement plays a pivotal role in shaping how BCG operationalizes Generative AI at scale. By building secure, governed, and high-performance AI platforms, this leader ensures BCG can innovate responsibly, accelerate digital transformation, and maintain a trusted AI ecosystem that empowers teams globally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Mar 21, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Mar 20, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Senior Forward Deployed Engineer (Palantir Foundry) London Salary Up To £120,000 per annum Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK s most respected Palantir partners, now seeking a Senior Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering. You ll be joining a company that delivers transformative solutions across public and private sectors specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact. Core Responsibilities Programme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects. Strategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy. Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance ensuring robust and future-proof solutions. Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation. Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts. Innovation & Vision: Help define the consultancy s technical roadmap, aligning emerging technology with client needs and long-term growth. Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit. Thought Leadership: Represent the organisation externally whether through industry events, publications, or strategic client discussions. What We re Looking For Deep Experience: 10+ years in engineering, data platforms, or enterprise technology at least 3 5 of which in leadership roles managing large-scale, client-facing programmes. Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able to engage at all levels from senior engineers to board-level stakeholders with clarity and confidence. Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes. Adaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts. Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs. As a Senior Forward Deployed Engineer , you won t just deliver projects you ll shape them from inception to execution, influencing how some of the UK s most critical institutions harness AI and data to make better decisions and achieve lasting transformation. Please do not hesitate to reply and reach out to Morela today to find out more!
Mar 20, 2026
Full time
Senior Forward Deployed Engineer (Palantir Foundry) London Salary Up To £120,000 per annum Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK s most respected Palantir partners, now seeking a Senior Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering. You ll be joining a company that delivers transformative solutions across public and private sectors specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact. Core Responsibilities Programme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects. Strategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy. Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance ensuring robust and future-proof solutions. Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation. Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts. Innovation & Vision: Help define the consultancy s technical roadmap, aligning emerging technology with client needs and long-term growth. Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit. Thought Leadership: Represent the organisation externally whether through industry events, publications, or strategic client discussions. What We re Looking For Deep Experience: 10+ years in engineering, data platforms, or enterprise technology at least 3 5 of which in leadership roles managing large-scale, client-facing programmes. Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able to engage at all levels from senior engineers to board-level stakeholders with clarity and confidence. Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes. Adaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts. Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs. As a Senior Forward Deployed Engineer , you won t just deliver projects you ll shape them from inception to execution, influencing how some of the UK s most critical institutions harness AI and data to make better decisions and achieve lasting transformation. Please do not hesitate to reply and reach out to Morela today to find out more!
About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast paced, and you'll be expected to own problems end to end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do Implement and maintain security controls across multi cloud environments (primarily AWS and Azure, with some GCP and AliCloud) and on prem infrastructure Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical Design and operate key management and custody security cont Implement risk monitoring tools that provide actionable insights across the organization Conduct security reviews of cloud architecture and microservices Collaborate closely with product, technology, and risk teams to align on security strategy Develop and maintain security automation pipelines to streamline security tasks Continuously evaluate and evolve our security posture in a rapidly changing environment Please mention the word FEARLESS and tag RMjYwMDoxOTAwOjA6MmQwOTo6MTQwMA when applying to show you read the job post completely ( ). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job Tags security design technical cloud strategy management senior engineer engineering digital nomad
Mar 20, 2026
Full time
About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast paced, and you'll be expected to own problems end to end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do Implement and maintain security controls across multi cloud environments (primarily AWS and Azure, with some GCP and AliCloud) and on prem infrastructure Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical Design and operate key management and custody security cont Implement risk monitoring tools that provide actionable insights across the organization Conduct security reviews of cloud architecture and microservices Collaborate closely with product, technology, and risk teams to align on security strategy Develop and maintain security automation pipelines to streamline security tasks Continuously evaluate and evolve our security posture in a rapidly changing environment Please mention the word FEARLESS and tag RMjYwMDoxOTAwOjA6MmQwOTo6MTQwMA when applying to show you read the job post completely ( ). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job Tags security design technical cloud strategy management senior engineer engineering digital nomad
Overview Role: Planning Lead Duration: 6 Months Location: Hybrid London - 1 to 2 days Rate: £112.83 per hour. We have a 6-month project for a Planning Lead who will be responsible for ensuring operational oversight and effective execution of the overall planning function for a complex migration programme. This includes engaging with Business Relationship Managers, creating Move Packages, aligning to squads, and ensuring quality gate criteria are met prior to handover. Additional duties will include managing scheduling issues, risks and critical periods and providing an escalation point for any related concerns. Responsibilities Ensure that the Bundling Criteria decision tree is maintained and approved by the Architecture Review Board Ensure that the Programme Change Advisory Board (PCAB) is Chaired and ensure that the deferral process is followed and under continuous improvement. Ensure critical issues or risks raised at the PCAB are escalated Lead end to end planning for multicloud programs spanning Azure, AWS, GCP, and private cloud environments. Drive cloud migration planning including discovery, workload assessment, sequencing, and cutover strategy. Track project KPIs such as provisioning timelines, migration velocity, cloud cost consumption, and operational readiness. Manage cross functional dependencies across network, security, application, and data teams to ensure smooth execution. Drive sprint planning, backlog prioritization, and release planning in Agile/Hybrid delivery models. Partner with PMO to maintain program documentation, RAID logs, status reports, and governance artifacts. Identify optimization opportunities across deployments to enhance cost efficiency, performance, and delivery cadence. Provide oversight of planned migration event dates Provide escalation point for any scheduling issues, risks or critical periods Record issues or risks and assign them to relevant programme or client resources Receive migration candidates, analyse them, and assign migration type Identify any known technical or operational issues that prevent server(s) and system(s) from being grouped and scheduled with the SA Recommend provisional migration event bundles of servers to enable schedulers to manage workload with Squads. Assign servers to Squads and release servers to Schedulers Preferred Skills Experience working in finance or banking industry. Experience working on a complex storage migration programme. Proficient Microsoft Office - Excel (VS) Regular Management Information reporting
Mar 20, 2026
Full time
Overview Role: Planning Lead Duration: 6 Months Location: Hybrid London - 1 to 2 days Rate: £112.83 per hour. We have a 6-month project for a Planning Lead who will be responsible for ensuring operational oversight and effective execution of the overall planning function for a complex migration programme. This includes engaging with Business Relationship Managers, creating Move Packages, aligning to squads, and ensuring quality gate criteria are met prior to handover. Additional duties will include managing scheduling issues, risks and critical periods and providing an escalation point for any related concerns. Responsibilities Ensure that the Bundling Criteria decision tree is maintained and approved by the Architecture Review Board Ensure that the Programme Change Advisory Board (PCAB) is Chaired and ensure that the deferral process is followed and under continuous improvement. Ensure critical issues or risks raised at the PCAB are escalated Lead end to end planning for multicloud programs spanning Azure, AWS, GCP, and private cloud environments. Drive cloud migration planning including discovery, workload assessment, sequencing, and cutover strategy. Track project KPIs such as provisioning timelines, migration velocity, cloud cost consumption, and operational readiness. Manage cross functional dependencies across network, security, application, and data teams to ensure smooth execution. Drive sprint planning, backlog prioritization, and release planning in Agile/Hybrid delivery models. Partner with PMO to maintain program documentation, RAID logs, status reports, and governance artifacts. Identify optimization opportunities across deployments to enhance cost efficiency, performance, and delivery cadence. Provide oversight of planned migration event dates Provide escalation point for any scheduling issues, risks or critical periods Record issues or risks and assign them to relevant programme or client resources Receive migration candidates, analyse them, and assign migration type Identify any known technical or operational issues that prevent server(s) and system(s) from being grouped and scheduled with the SA Recommend provisional migration event bundles of servers to enable schedulers to manage workload with Squads. Assign servers to Squads and release servers to Schedulers Preferred Skills Experience working in finance or banking industry. Experience working on a complex storage migration programme. Proficient Microsoft Office - Excel (VS) Regular Management Information reporting
Forward Deployed Engineer (Palantir Foundry) London Salary Up To £80,000 per annum Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK s most respected Palantir partners, now seeking a Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering. You ll be joining a company that delivers transformative solutions across public and private sectors specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact. Core Responsibilities Programme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects. Strategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy. Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance ensuring robust and future-proof solutions. Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation. Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts. Innovation & Vision: Help define the consultancy s technical roadmap, aligning emerging technology with client needs and long-term growth. Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit. Thought Leadership: Represent the organisation externally whether through industry events, publications, or strategic client discussions. What We re Looking For Deep Experience: 10+ years in engineering, data platforms, or enterprise technology at least 3 5 of which in leadership roles managing large-scale, client-facing programmes. Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able to engage at all levels from senior engineers to board-level stakeholders with clarity and confidence. Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes. Adaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts. Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs. As a Forward Deployed Engineer , you won t just deliver projects you ll shape them from inception to execution, influencing how some of the UK s most critical institutions harness AI and data to make better decisions and achieve lasting transformation. Please do not hesitate to reply and reach out to Morela today to find out more!
Mar 19, 2026
Full time
Forward Deployed Engineer (Palantir Foundry) London Salary Up To £80,000 per annum Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK s most respected Palantir partners, now seeking a Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering. You ll be joining a company that delivers transformative solutions across public and private sectors specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact. Core Responsibilities Programme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects. Strategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy. Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance ensuring robust and future-proof solutions. Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation. Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts. Innovation & Vision: Help define the consultancy s technical roadmap, aligning emerging technology with client needs and long-term growth. Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit. Thought Leadership: Represent the organisation externally whether through industry events, publications, or strategic client discussions. What We re Looking For Deep Experience: 10+ years in engineering, data platforms, or enterprise technology at least 3 5 of which in leadership roles managing large-scale, client-facing programmes. Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able to engage at all levels from senior engineers to board-level stakeholders with clarity and confidence. Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes. Adaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts. Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs. As a Forward Deployed Engineer , you won t just deliver projects you ll shape them from inception to execution, influencing how some of the UK s most critical institutions harness AI and data to make better decisions and achieve lasting transformation. Please do not hesitate to reply and reach out to Morela today to find out more!
Charles Simon Associates Ltd
Manchester, Lancashire
Position: Senior GCP Engineer Location: Manchester (onsite twice a week) Salary: £85,000-£95,000 + benefits & Bonus Ready to build cloud infrastructure the right way, automated, scalable, secure, and engineered, not "clicked together"? This is a role for a GCP-driven engineer who wants ownership, modern tooling, and a platform team that genuinely does DevOps rather than just talk about it. The Opportunity: Join a cross-functional engineering group delivering enterprise-scale GCP infrastructure and DevOps capabilities. You'll shape cloud products, design reusable IaC patterns, and build automation that removes toil for dozens of teams across the business. This isn't a support role. It's hands-on engineering with room to influence standards, architecture, and tooling across a huge GCP estate. What You'll Be Doing: Engineering GCP infrastructure products using Terraform & Terraform Cloud. Designing reusable IaC modules, refactoring legacy configs, improving state management. Building automation, tooling and workflows in Python. Developing secure, scalable GCP landing zones with org policies, policy-as-code (OPA/Sentinel), guardrails, and zero-trust principles. Working deeply with GKE , containers, Istio, cluster ops, and cloud-native networking. Integrating CI/CD pipelines (GitHub, Jenkins, Harness) to automate everything from builds to deployments. Driving cloud adoption and best practice across feature teams. What You Bring: Strong GCP cloud engineering background with a DevOps mindset. Terraform expertise (modules, state, workspaces, enterprise patterns). Solid Python scripting for tooling and automation. GKE, service mesh, containerisation & cluster management experience. Experience implementing org-level governance, security, and policy-as-code. Certifications in GCP and Terraform are a big plus. Nice to Have: SME-level GCP knowledge or consulting experience. Experience influencing architecture, design, and DevOps strategy. Familiarity with IDE-style engineering platforms (e.g., Backstage). Why This Role? A genuinely modern GCP environment, not a half-migrated legacy swamp. Real engineering autonomy and the chance to shape cloud platforms at scale. Backed by a major UK organisation with huge learning, career and technical development opportunities. A culture that values DevOps, infrastructure as code, and engineering excellence.
Mar 18, 2026
Full time
Position: Senior GCP Engineer Location: Manchester (onsite twice a week) Salary: £85,000-£95,000 + benefits & Bonus Ready to build cloud infrastructure the right way, automated, scalable, secure, and engineered, not "clicked together"? This is a role for a GCP-driven engineer who wants ownership, modern tooling, and a platform team that genuinely does DevOps rather than just talk about it. The Opportunity: Join a cross-functional engineering group delivering enterprise-scale GCP infrastructure and DevOps capabilities. You'll shape cloud products, design reusable IaC patterns, and build automation that removes toil for dozens of teams across the business. This isn't a support role. It's hands-on engineering with room to influence standards, architecture, and tooling across a huge GCP estate. What You'll Be Doing: Engineering GCP infrastructure products using Terraform & Terraform Cloud. Designing reusable IaC modules, refactoring legacy configs, improving state management. Building automation, tooling and workflows in Python. Developing secure, scalable GCP landing zones with org policies, policy-as-code (OPA/Sentinel), guardrails, and zero-trust principles. Working deeply with GKE , containers, Istio, cluster ops, and cloud-native networking. Integrating CI/CD pipelines (GitHub, Jenkins, Harness) to automate everything from builds to deployments. Driving cloud adoption and best practice across feature teams. What You Bring: Strong GCP cloud engineering background with a DevOps mindset. Terraform expertise (modules, state, workspaces, enterprise patterns). Solid Python scripting for tooling and automation. GKE, service mesh, containerisation & cluster management experience. Experience implementing org-level governance, security, and policy-as-code. Certifications in GCP and Terraform are a big plus. Nice to Have: SME-level GCP knowledge or consulting experience. Experience influencing architecture, design, and DevOps strategy. Familiarity with IDE-style engineering platforms (e.g., Backstage). Why This Role? A genuinely modern GCP environment, not a half-migrated legacy swamp. Real engineering autonomy and the chance to shape cloud platforms at scale. Backed by a major UK organisation with huge learning, career and technical development opportunities. A culture that values DevOps, infrastructure as code, and engineering excellence.
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Mar 18, 2026
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Mar 18, 2026
Full time
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Overview - Featured Role Apply direct with Data Freelance Hub This role is for a Data & AI Scientist with a long term contract in London, offering a pay rate of "unknown." Key skills include advanced Python, AgenticAI tools, and experience with LLM applications. Hybrid work model; financial industry experience preferred. We are working with a leading edge financial innovation lab shaping the future of conversational banking. As a Data & AI Scientist, you will be at the forefront of the generative revolution, building production grade agentic workflows that redefine how customers interact with global banking systems. You will leverage advanced Python engineering and multi cloud infrastructure (Azure & GCP) to transition experimental AI into high impact, autonomous customer solutions. Responsibilities Architect and deploy production ready AgenticAI solutions using Langgraph, CrewAI, and multi agent frameworks. Design and scale RAG pipelines and generative search experiences, evolving standard vector search into fully conversational interfaces. Build robust integration patterns that allow AI agents to securely trigger actions and fulfill requests across core banking systems. Develop automated evaluation frameworks and LLMOps workflows for deterministic and generative conversation monitoring at scale. Provision and manage high performance AI infrastructure across both GCP (VertexAI) and Azure environments. What You'll Need Minimum 2+ years of experience building and deploying production grade LLM applications (moving beyond Jupyter notebooks). Expert level Python literacy with deep knowledge of AgenticAI tools such as Langgraph, ADK, and CrewAI. Proven experience in AI Engineering, including RAG pipelines, Prompt Engineering, and VertexAI. Strong background in LLMOps, including runtime evaluation, monitoring, and performance tuning. Knowledge of Responsible AI practices, ethics, and the development of safety guardrails is highly desirable. What's On Offer Long term stable contract within a high impact Conversational Banking Lab. Hybrid working model (3 days in a modern London hub) offering the perfect balance of collaboration and focus. Opportunity to work with cutting edge multi cloud AI stacks across both Azure and GCP. A fast paced, Agile environment where your AI designs go straight into the hands of customers. Apply Apply via Haystack today! Freelance data hiring powered by an engaged, trusted community-not a CV database.
Mar 17, 2026
Full time
Overview - Featured Role Apply direct with Data Freelance Hub This role is for a Data & AI Scientist with a long term contract in London, offering a pay rate of "unknown." Key skills include advanced Python, AgenticAI tools, and experience with LLM applications. Hybrid work model; financial industry experience preferred. We are working with a leading edge financial innovation lab shaping the future of conversational banking. As a Data & AI Scientist, you will be at the forefront of the generative revolution, building production grade agentic workflows that redefine how customers interact with global banking systems. You will leverage advanced Python engineering and multi cloud infrastructure (Azure & GCP) to transition experimental AI into high impact, autonomous customer solutions. Responsibilities Architect and deploy production ready AgenticAI solutions using Langgraph, CrewAI, and multi agent frameworks. Design and scale RAG pipelines and generative search experiences, evolving standard vector search into fully conversational interfaces. Build robust integration patterns that allow AI agents to securely trigger actions and fulfill requests across core banking systems. Develop automated evaluation frameworks and LLMOps workflows for deterministic and generative conversation monitoring at scale. Provision and manage high performance AI infrastructure across both GCP (VertexAI) and Azure environments. What You'll Need Minimum 2+ years of experience building and deploying production grade LLM applications (moving beyond Jupyter notebooks). Expert level Python literacy with deep knowledge of AgenticAI tools such as Langgraph, ADK, and CrewAI. Proven experience in AI Engineering, including RAG pipelines, Prompt Engineering, and VertexAI. Strong background in LLMOps, including runtime evaluation, monitoring, and performance tuning. Knowledge of Responsible AI practices, ethics, and the development of safety guardrails is highly desirable. What's On Offer Long term stable contract within a high impact Conversational Banking Lab. Hybrid working model (3 days in a modern London hub) offering the perfect balance of collaboration and focus. Opportunity to work with cutting edge multi cloud AI stacks across both Azure and GCP. A fast paced, Agile environment where your AI designs go straight into the hands of customers. Apply Apply via Haystack today! Freelance data hiring powered by an engaged, trusted community-not a CV database.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Cloud Foundational Services in Infrastructure Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Required qualifications, capabilities, and skills Proven experience in software engineering Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in multiple languages with strong understanding of core development concepts including object oriented programming, data structures, algorithms, and design patterns Demonstrated experience working with cloud platforms (AWS, Azure, GCP, or private jpmc) including cloud native services, containerization (Docker, Kubernetes), and cloud infrastructure management Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Strong grasp of software engineering fundamentals including version control, testing methodologies, code review practices, and debugging techniques Preferred qualifications, capabilities, and skills Familiarity with modern front end technologies Ability to quickly adapt to and work effectively across different programming languages and technology stacks as business needs evolve Experience with Infrastructure as Code (Terraform, CloudFormation) and cloud automation tools Knowledge of microservices architecture and distributed systems design patterns Exposure to artificial intelligence, machine learning, or other emerging technologies
Mar 17, 2026
Full time
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Cloud Foundational Services in Infrastructure Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Required qualifications, capabilities, and skills Proven experience in software engineering Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in multiple languages with strong understanding of core development concepts including object oriented programming, data structures, algorithms, and design patterns Demonstrated experience working with cloud platforms (AWS, Azure, GCP, or private jpmc) including cloud native services, containerization (Docker, Kubernetes), and cloud infrastructure management Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Strong grasp of software engineering fundamentals including version control, testing methodologies, code review practices, and debugging techniques Preferred qualifications, capabilities, and skills Familiarity with modern front end technologies Ability to quickly adapt to and work effectively across different programming languages and technology stacks as business needs evolve Experience with Infrastructure as Code (Terraform, CloudFormation) and cloud automation tools Knowledge of microservices architecture and distributed systems design patterns Exposure to artificial intelligence, machine learning, or other emerging technologies
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We AreAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to b
Mar 16, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We AreAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to b
Solutions Architect Cloud Architecture Network Architecture Systems Integration Solutions Architect My fantastic client in Bristol is currently looking for a solid Solutions Architect to come on board on a permanent basis. The role includes the design, development, and maintenance of system architectures that support the company's operational and strategic goals. Working within the Operations department, you will collaborate closely with development, infrastructure and cybersecurity teams to ensure compliance across the organisation. The client is looking for someone who has experience of Network architecture, cloud infrastructure (AWS/Azure/GCP), and systems integration as well as Cybersecurity principles and compliance standards. The key responsibilities and tasks for this role will include: Design, implement and maintain end-to-end system architecture designs and documentation for on-premise and cloud architectures Lead and preside over the integration of hardware, software and cloud systems Evaluate current systems and provide recommendations for improvement or replacement Deploy and manage security technologies like web security gateways, NAC, endpoint security, and perimeter defence Collaborate with geographically dispersed development, operations, and security teams to ensure architectural consistency and compliance Support Kongsberg's security incident response and service requests in line with ITIL processes Research and assess emerging technologies for potential application Deliver technical evaluation reports for proposed emerging technologies Participate in security audits, vulnerability assessments, and penetration testing Maintain technical knowledge bases in Dynamics 365 CRM ticketing tool Provide technical leadership and mentoring to engineering teams Essential skills: Network architecture, cloud infrastructure (AWS/Azure/GCP), and systems integration Cybersecurity principles and compliance standards Familiarity with Project management lifecycles and quality assurance processes Tools such as UML, enterprise architecture frameworks (e.g., TOGAF), and CI/CD pipelines. This is a permanent role based out of the Bristol office paying a salary of £75-80k per annum depending on experience. If you are a Solutions Architect with solid experience of Network and Cloud Architecture and Systems Integration then please forward your CV to me ASAP as interviews are being arranged immediately.
Mar 16, 2026
Full time
Solutions Architect Cloud Architecture Network Architecture Systems Integration Solutions Architect My fantastic client in Bristol is currently looking for a solid Solutions Architect to come on board on a permanent basis. The role includes the design, development, and maintenance of system architectures that support the company's operational and strategic goals. Working within the Operations department, you will collaborate closely with development, infrastructure and cybersecurity teams to ensure compliance across the organisation. The client is looking for someone who has experience of Network architecture, cloud infrastructure (AWS/Azure/GCP), and systems integration as well as Cybersecurity principles and compliance standards. The key responsibilities and tasks for this role will include: Design, implement and maintain end-to-end system architecture designs and documentation for on-premise and cloud architectures Lead and preside over the integration of hardware, software and cloud systems Evaluate current systems and provide recommendations for improvement or replacement Deploy and manage security technologies like web security gateways, NAC, endpoint security, and perimeter defence Collaborate with geographically dispersed development, operations, and security teams to ensure architectural consistency and compliance Support Kongsberg's security incident response and service requests in line with ITIL processes Research and assess emerging technologies for potential application Deliver technical evaluation reports for proposed emerging technologies Participate in security audits, vulnerability assessments, and penetration testing Maintain technical knowledge bases in Dynamics 365 CRM ticketing tool Provide technical leadership and mentoring to engineering teams Essential skills: Network architecture, cloud infrastructure (AWS/Azure/GCP), and systems integration Cybersecurity principles and compliance standards Familiarity with Project management lifecycles and quality assurance processes Tools such as UML, enterprise architecture frameworks (e.g., TOGAF), and CI/CD pipelines. This is a permanent role based out of the Bristol office paying a salary of £75-80k per annum depending on experience. If you are a Solutions Architect with solid experience of Network and Cloud Architecture and Systems Integration then please forward your CV to me ASAP as interviews are being arranged immediately.
Senior DevOps Engineer 6-month contract London/Remote SC Clearance Inside IR35 My Financial Customer is looking for a Senior DevOps Engineer to join a growing technology team responsible for maintaining and evolving a complex on-premise platform. This role will play a key part in ensuring the reliability, performance, and continuous improvement of the organisation s technical estate while supporting the delivery of new services. This Senior DevOps Engineer is required to have experience with the following: Cloud Platform (Azure, AWS, or GCP), Kubernetes, IaC using Terraform and CI/CD pipelines. Skills & Experience required from the Senior DevOps Engineer: Active SC Clearance Cloud Platforms (Azure, AWS, or GCP) Strong experience supporting production environments, including on-call support and release management. Hands-on experience with Kubernetes or OpenShift in on-premise environments. Proven background in Linux system administration Experience implementing Infrastructure as Code, ideally using Terraform, integrated with CI/CD pipelines such as Jenkins. Observability platforms including logging, monitoring, and alerting tools such as ELK, Splunk, Prometheus, or Grafana. Experience improving DevOps tooling and contributing to technology roadmaps. Strong knowledge of Agile methodologies and modern DevOps practices. Experience working in the financial industry would be beneficial. Key Responsibilities of the Senior DevOps Engineer: Support, maintain and enhance the organisation s core platform and supporting infrastructure. Manage the promotion of code across environments, ensuring safe and controlled releases from pre-production through to live. Champion continuous improvement and modern DevOps practices, helping teams adopt automation-first approaches across build, deployment, and release processes. Provide technical mentorship and guidance to engineers, sharing best practices and supporting professional development within the team. Collaborate with architects and solution designers to align technical delivery with long-term product and technology roadmaps. Lead incident management activities, coordinating major incident responses and ensuring effective communication with stakeholders. Support a 24/7 production environment, including participation in an on-call rota and out-of-hours release support when required. Apply now to speak with VIQU IT in confidence. Or reach out to Connor Smal via the VIQU IT website. Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment.
Mar 15, 2026
Contractor
Senior DevOps Engineer 6-month contract London/Remote SC Clearance Inside IR35 My Financial Customer is looking for a Senior DevOps Engineer to join a growing technology team responsible for maintaining and evolving a complex on-premise platform. This role will play a key part in ensuring the reliability, performance, and continuous improvement of the organisation s technical estate while supporting the delivery of new services. This Senior DevOps Engineer is required to have experience with the following: Cloud Platform (Azure, AWS, or GCP), Kubernetes, IaC using Terraform and CI/CD pipelines. Skills & Experience required from the Senior DevOps Engineer: Active SC Clearance Cloud Platforms (Azure, AWS, or GCP) Strong experience supporting production environments, including on-call support and release management. Hands-on experience with Kubernetes or OpenShift in on-premise environments. Proven background in Linux system administration Experience implementing Infrastructure as Code, ideally using Terraform, integrated with CI/CD pipelines such as Jenkins. Observability platforms including logging, monitoring, and alerting tools such as ELK, Splunk, Prometheus, or Grafana. Experience improving DevOps tooling and contributing to technology roadmaps. Strong knowledge of Agile methodologies and modern DevOps practices. Experience working in the financial industry would be beneficial. Key Responsibilities of the Senior DevOps Engineer: Support, maintain and enhance the organisation s core platform and supporting infrastructure. Manage the promotion of code across environments, ensuring safe and controlled releases from pre-production through to live. Champion continuous improvement and modern DevOps practices, helping teams adopt automation-first approaches across build, deployment, and release processes. Provide technical mentorship and guidance to engineers, sharing best practices and supporting professional development within the team. Collaborate with architects and solution designers to align technical delivery with long-term product and technology roadmaps. Lead incident management activities, coordinating major incident responses and ensuring effective communication with stakeholders. Support a 24/7 production environment, including participation in an on-call rota and out-of-hours release support when required. Apply now to speak with VIQU IT in confidence. Or reach out to Connor Smal via the VIQU IT website. Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment.
IT Security Architect - AWS - Manchester An IT Security Architect with a PCI DSS & cloud background (AWS, GCP OR Azure) is required to join our global client's new UK cybersecurity team. The role is to lead the design and implementation of PCI DSS architecture on a global scale from their head office in central Manchester click apply for full job details
Mar 14, 2026
Full time
IT Security Architect - AWS - Manchester An IT Security Architect with a PCI DSS & cloud background (AWS, GCP OR Azure) is required to join our global client's new UK cybersecurity team. The role is to lead the design and implementation of PCI DSS architecture on a global scale from their head office in central Manchester click apply for full job details
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Mar 14, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
