Role type: Permanent or Contract Location: London/remote Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues. Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia's ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. THE ROLE The Cloud Platform Engineers deliver infrastructure solutions as part of an experienced cross disciplinary team. We have a developer mindset and deliver our infrastructure through code, holding ourselves to the same quality and code standards as the rest of the team. We need you to use your hands on experience to drive the design, development and deployment of Satalia's Logistics and Delivery products. YOUR RESPONSIBILITIES: Work with our solution architects to identify the best technologies and process for our clients Act as a technical authority to engage and steer discussions on best practice and risk mitigation Ensure security considerations are implemented, tested and maintained. Build in Observability MINIMUM QUALIFICATIONS / SKILLS Building infrastructure and deploying code in one of the main Clouds (preferably GCP, Bitbucket Pipelines, Terraform, Kubernetes, ArgoCD, K6) Implementing and maintaining monitoring, logging and tracing tools (Grafana or similar) Communicating and explaining technical concepts at appropriate levels for your team and to clients Understanding of the strengths and weaknesses of Infrastructure and Configuration as Code, Safe Deployment strategies and CI/CD, Cloud based and Cloud native system design, Observability, Developer Experience, DevOps and SRE, InfoSec and SIEM IF YOU KNOW THIS, EVEN BETTER: Experience in the Logistics industry Practical experience with BitBucket Pipelines, GitHub Actions Workflows or Azure DevOps Pipelines, Repos and Artifacts Experience with Kubernetes, and familiarity with differing Cloud implementations Experience deploying and operating observability stacks in production environments, including integration with Kubernetes workloads and cloud native services. Hands on with Terraform - familiarity with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling - Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - PowerShell, Python, Bash, Ruby, Perl WE OFFER Benefits - enhanced pension, life assurance, income protection, private healthcare Remote working - café, bedroom, beach - wherever works Truly flexible working hours - school pick up, volunteering, gym Generous Leave - 27 days holiday plus bank holidays and enhanced family leave Annual bonus - when Satalia does well, we all do well Impactful projects - focus on bringing meaningful social and environmental change People oriented culture - wellbeing is a priority, as is being a nice person Transparent and open culture - you will be heard Development - focus on bringing the best out of each other
11/05/2026
Full time
Role type: Permanent or Contract Location: London/remote Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues. Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia's ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. THE ROLE The Cloud Platform Engineers deliver infrastructure solutions as part of an experienced cross disciplinary team. We have a developer mindset and deliver our infrastructure through code, holding ourselves to the same quality and code standards as the rest of the team. We need you to use your hands on experience to drive the design, development and deployment of Satalia's Logistics and Delivery products. YOUR RESPONSIBILITIES: Work with our solution architects to identify the best technologies and process for our clients Act as a technical authority to engage and steer discussions on best practice and risk mitigation Ensure security considerations are implemented, tested and maintained. Build in Observability MINIMUM QUALIFICATIONS / SKILLS Building infrastructure and deploying code in one of the main Clouds (preferably GCP, Bitbucket Pipelines, Terraform, Kubernetes, ArgoCD, K6) Implementing and maintaining monitoring, logging and tracing tools (Grafana or similar) Communicating and explaining technical concepts at appropriate levels for your team and to clients Understanding of the strengths and weaknesses of Infrastructure and Configuration as Code, Safe Deployment strategies and CI/CD, Cloud based and Cloud native system design, Observability, Developer Experience, DevOps and SRE, InfoSec and SIEM IF YOU KNOW THIS, EVEN BETTER: Experience in the Logistics industry Practical experience with BitBucket Pipelines, GitHub Actions Workflows or Azure DevOps Pipelines, Repos and Artifacts Experience with Kubernetes, and familiarity with differing Cloud implementations Experience deploying and operating observability stacks in production environments, including integration with Kubernetes workloads and cloud native services. Hands on with Terraform - familiarity with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling - Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - PowerShell, Python, Bash, Ruby, Perl WE OFFER Benefits - enhanced pension, life assurance, income protection, private healthcare Remote working - café, bedroom, beach - wherever works Truly flexible working hours - school pick up, volunteering, gym Generous Leave - 27 days holiday plus bank holidays and enhanced family leave Annual bonus - when Satalia does well, we all do well Impactful projects - focus on bringing meaningful social and environmental change People oriented culture - wellbeing is a priority, as is being a nice person Transparent and open culture - you will be heard Development - focus on bringing the best out of each other
EXL (NASDAQ: EXLS)is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Agentic AI Architect- Insurance Domain Location: London, United Kingdom (Hybrid) Employment Type: Permanent Summary of the role We are seeking an experienced AI Solution Architect to lead the design and delivery of enterprise-scale agentic AI platforms and GenAI-enabled solutions. This role will define end-to-end architecture across AI, data, orchestration, integration, and platform layers, with a strong focus on scalable, secure, and explainable AI systems. The successful candidate will drive architecture strategy for multi-step agentic workflows, RAG frameworks, vector search, prompt lifecycle management, and enterprise integrations across structured, unstructured, and external data sources. You will work closely with AI, data, and engineering teams to establish scalable platform patterns, governance frameworks, and ModelOps capabilities while ensuring alignment with business and technical objectives. This is a hands-on leadership role requiring deep expertise in GenAI architecture, distributed systems, enterprise integrations, AI safety, and cloud-native engineering practices. The ideal candidate will combine strong technical depth with the ability to lead cross-functional teams, influence stakeholders, and translate complex AI capabilities into practical enterprise solutions. Architecture & Technical Leadership Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers Design and govern agentic orchestration framework for multi-step workflows Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation Platform & Integration Design Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs Design configurable, metadata-driven framework for multi-LOB onboarding AI & GenAI Enablement Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows Establish multimodal integration approach combining structured, unstructured, and external data Design prompt lifecycle, evaluation, and optimization strategy Governance, Safety & ModelOps Define AI safety and guardrails (PII, hallucination control, policy constraints) Establish ModelOps and PromptOps frameworks Ensure explainability, auditability, and traceability of AI outputs Lead technical execution across AI, data, and platform teams Guide engineers (AI, data, full-stack) and ensure alignment with architecture Drive technical decisions and stakeholder communication Qualifications and experience we consider to be essential for the role Experience: 10-15+ years in software/data/AI engineering with 4-6+ years in AI/ML/GenAI architecture Background: Strong experience in designing enterprise-scale platforms and distributed systems Domain (good to have): Insurance/reinsurance / financial services Education: Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field Profile Type: Hands-on architect with ability to balance strategy + execution Technical skills Retrieval & RAG -Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management Tool Access & Integration -MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs AI Safety & Governance -NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control Evaluation & ModelOps -Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring DevOps & Observability -CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability As part of a leading global Data and AI company, you can look forward to A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
11/05/2026
Full time
EXL (NASDAQ: EXLS)is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Agentic AI Architect- Insurance Domain Location: London, United Kingdom (Hybrid) Employment Type: Permanent Summary of the role We are seeking an experienced AI Solution Architect to lead the design and delivery of enterprise-scale agentic AI platforms and GenAI-enabled solutions. This role will define end-to-end architecture across AI, data, orchestration, integration, and platform layers, with a strong focus on scalable, secure, and explainable AI systems. The successful candidate will drive architecture strategy for multi-step agentic workflows, RAG frameworks, vector search, prompt lifecycle management, and enterprise integrations across structured, unstructured, and external data sources. You will work closely with AI, data, and engineering teams to establish scalable platform patterns, governance frameworks, and ModelOps capabilities while ensuring alignment with business and technical objectives. This is a hands-on leadership role requiring deep expertise in GenAI architecture, distributed systems, enterprise integrations, AI safety, and cloud-native engineering practices. The ideal candidate will combine strong technical depth with the ability to lead cross-functional teams, influence stakeholders, and translate complex AI capabilities into practical enterprise solutions. Architecture & Technical Leadership Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers Design and govern agentic orchestration framework for multi-step workflows Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation Platform & Integration Design Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs Design configurable, metadata-driven framework for multi-LOB onboarding AI & GenAI Enablement Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows Establish multimodal integration approach combining structured, unstructured, and external data Design prompt lifecycle, evaluation, and optimization strategy Governance, Safety & ModelOps Define AI safety and guardrails (PII, hallucination control, policy constraints) Establish ModelOps and PromptOps frameworks Ensure explainability, auditability, and traceability of AI outputs Lead technical execution across AI, data, and platform teams Guide engineers (AI, data, full-stack) and ensure alignment with architecture Drive technical decisions and stakeholder communication Qualifications and experience we consider to be essential for the role Experience: 10-15+ years in software/data/AI engineering with 4-6+ years in AI/ML/GenAI architecture Background: Strong experience in designing enterprise-scale platforms and distributed systems Domain (good to have): Insurance/reinsurance / financial services Education: Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field Profile Type: Hands-on architect with ability to balance strategy + execution Technical skills Retrieval & RAG -Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management Tool Access & Integration -MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs AI Safety & Governance -NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control Evaluation & ModelOps -Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring DevOps & Observability -CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability As part of a leading global Data and AI company, you can look forward to A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
For additional information, please review .Engineer the future of global finance. At Citi, our Tech team doesn't just support finance-we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We provide you with the knowledge and skills you need to succeed We're committed to teaching you the ropes. For individuals starting their careers, we offer a supportive environment. Here at Citi, internal development paths are intended to help you build a broad skillset and accelerate your career growth by gaining exposure to more than one team in Software Development. Our supportive environment will help you discover the best fit for your skills and long-term career goals at Citi. Your time here will look like this You will thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting-edge technologies, including AI-powered coding tools. Translating business requirements into robust code, you'll ensure adherence to stringent quality standards and provide essential support through testing cycles and post-production deployment.To deliver systems at the enterprise-level that are high quality, scalable, and resilient, you will skilfully utilize advanced tools for code testing and debugging, while learning from top technologists through design sessions and peer code reviews. Furthermore, you'll benefit from a comprehensive support system: you'll join a cohort of new hires, embarking on a shared journey to master our company culture, tools, processes, and the technical proficiencies vital to your success.While technologies may vary across teams, and AI tooling is rapidly evolving, developers will gain exposure to a wide range of technologies and tools across all aspects of the SDLC: Back-End Microservices Development: Java, Spring Framework Mobile Development: iOS: Swift, Xcode, MVC ArchitectureAndroid: Android Studio, JavaScript, CSS, AJAX, Java Web Services Front-End Web Development: React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents: Tools: GitHub Copilot with various models, Citi Squad (automated code reviews), Devin.AI (Agentic Code generation), Prompt Engineering, Workflow Design, GenAI Optimization, Stylus Workspaces (In-house Gemini) Large Language Models (LLMs): Gemini, OpenAI, Claude, Llama, Local Models Frameworks: LangChain, LlamaIndex, Hugging Face Orchestration: LangGraph, Multi-Agent Systems Development Languages: Java, PythonFastAPI Retrieval-Augmented Generation (RAG): PostgreSQL, Vector DBs, Advanced Retrieval ML/DL Frameworks: PyTorch, TensorFlow, Fine-tuning Deployment: Enterprise DevOps Pipeline, Docker, Monitoring Tooling Data Analytics: Utilizing tools like Splunk, Tableau, and Adobe Analytics to track customer journey adoption and measure the business value of delivered products. As an individual contributor, you can expect exposure to: Gen AI Strategy & Cloud Deployment: Contributing to the adoption and deployment of cutting-edge Generative AI models and solutions on diverse cloud providers such as AWS, leveraging specialized AI/ML services for scalable and efficient inference. This includes advanced AI engineering practices to optimize model performance and reliability. Engineering Excellence (AI/MLOps): Adhering to and implementing Citi's Minimum Development Standards and Minimum Operational Standards, with a strong focus on applying MLOps best practices, ethical AI guidelines, and responsible AI development principles, particularly for managing the lifecycle of Generative AI agents. Architectural Patterns (Gen AI Focus): Exploring and applying the latest design and software architecture patterns and frameworks, including advanced Gen AI model architectures (e.g., Transformers, GANs), prompt engineering patterns, scalable inference solutions, Microservices, APIs, Spring Core/MVC/Boot/Cloud, and RESTful services. This includes designing and building agentic flows for complex business processes. CI/CD & Gen AI Development Tools: Gaining exposure to various software development tools within Continuous Integration/Continuous Delivery pipelines, such as JIRA, Zephyr, GitHub, Harness, Artifactory, MLOps platforms, model versioning tools, AI-specific testing frameworks, and container orchestration platforms like OpenShift. Event Streaming & Messaging (AI Data Pipelines): Working with event streaming and messaging systems, including Kafka, Flink, Solace, or similar technologies, specifically for real-time data ingestion for Gen AI model training, fine-tuning, and inference. Containerization (AI Model Deployment): Hands-on experience with container technologies like Docker and Kubernetes for scalable and reproducible deployment of Gen AI models and related microservices.No matter your team placement, you can expect: Global Gen AI Exposure: Work on globally scoped Generative AI projects with cross-functional teams, gaining invaluable insights into how this transformative technology is reshaping the financial sector worldwide. Continuous Learning & AI Advancement: Benefit from structured learning paths, extensive networking opportunities, mentorship, and development designed to sharpen your technical prowess in Generative AI, enhance your business acumen, and cultivate your leadership skills, staying abreast of the latest advancements in AI research and technologies. This includes gaining expertise in building agents on our proprietary ARC platform. Real Impact with AI: Contribute to real-world projects that shape the future of banking, from developing cutting-edge Generative AI solutions and intelligent automation to strengthening cybersecurity defenses and driving data-powered innovations.We want to hear from you if We are actively seeking individuals with a profound passion for technology, especially Generative AI, and an unwavering drive to make a significant difference.To join Citi, you should meet the following criteria: Educational Background: Bachelor's degree in a technology-related discipline (e.g., Computer Science, Computer Engineering, Information Technology, MIS) with a specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands-on experience. Problem-Solving Acumen (AI-driven): A proactive problem-solver who thrives on innovation and embraces challenges with enthusiasm, leveraging Generative AI to address complex business problems and create novel solutions. Global Mindset: Possess a global outlook and a strong willingness to collaborate effectively across diverse cultures and time zones, understanding the global implications of AI development. Communication & Leadership: Demonstrate excellent communication skills, project management capabilities, leadership potential, keen attention to detail, and the ability to excel within diverse teams, particularly in articulating complex AI concepts. Technical Proficiency (Gen AI): Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture. Strong experience in AI engineering, particularly in building agentic flows and building agents on our proprietary ARC platform, is highly valued.
10/05/2026
Full time
For additional information, please review .Engineer the future of global finance. At Citi, our Tech team doesn't just support finance-we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We provide you with the knowledge and skills you need to succeed We're committed to teaching you the ropes. For individuals starting their careers, we offer a supportive environment. Here at Citi, internal development paths are intended to help you build a broad skillset and accelerate your career growth by gaining exposure to more than one team in Software Development. Our supportive environment will help you discover the best fit for your skills and long-term career goals at Citi. Your time here will look like this You will thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting-edge technologies, including AI-powered coding tools. Translating business requirements into robust code, you'll ensure adherence to stringent quality standards and provide essential support through testing cycles and post-production deployment.To deliver systems at the enterprise-level that are high quality, scalable, and resilient, you will skilfully utilize advanced tools for code testing and debugging, while learning from top technologists through design sessions and peer code reviews. Furthermore, you'll benefit from a comprehensive support system: you'll join a cohort of new hires, embarking on a shared journey to master our company culture, tools, processes, and the technical proficiencies vital to your success.While technologies may vary across teams, and AI tooling is rapidly evolving, developers will gain exposure to a wide range of technologies and tools across all aspects of the SDLC: Back-End Microservices Development: Java, Spring Framework Mobile Development: iOS: Swift, Xcode, MVC ArchitectureAndroid: Android Studio, JavaScript, CSS, AJAX, Java Web Services Front-End Web Development: React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents: Tools: GitHub Copilot with various models, Citi Squad (automated code reviews), Devin.AI (Agentic Code generation), Prompt Engineering, Workflow Design, GenAI Optimization, Stylus Workspaces (In-house Gemini) Large Language Models (LLMs): Gemini, OpenAI, Claude, Llama, Local Models Frameworks: LangChain, LlamaIndex, Hugging Face Orchestration: LangGraph, Multi-Agent Systems Development Languages: Java, PythonFastAPI Retrieval-Augmented Generation (RAG): PostgreSQL, Vector DBs, Advanced Retrieval ML/DL Frameworks: PyTorch, TensorFlow, Fine-tuning Deployment: Enterprise DevOps Pipeline, Docker, Monitoring Tooling Data Analytics: Utilizing tools like Splunk, Tableau, and Adobe Analytics to track customer journey adoption and measure the business value of delivered products. As an individual contributor, you can expect exposure to: Gen AI Strategy & Cloud Deployment: Contributing to the adoption and deployment of cutting-edge Generative AI models and solutions on diverse cloud providers such as AWS, leveraging specialized AI/ML services for scalable and efficient inference. This includes advanced AI engineering practices to optimize model performance and reliability. Engineering Excellence (AI/MLOps): Adhering to and implementing Citi's Minimum Development Standards and Minimum Operational Standards, with a strong focus on applying MLOps best practices, ethical AI guidelines, and responsible AI development principles, particularly for managing the lifecycle of Generative AI agents. Architectural Patterns (Gen AI Focus): Exploring and applying the latest design and software architecture patterns and frameworks, including advanced Gen AI model architectures (e.g., Transformers, GANs), prompt engineering patterns, scalable inference solutions, Microservices, APIs, Spring Core/MVC/Boot/Cloud, and RESTful services. This includes designing and building agentic flows for complex business processes. CI/CD & Gen AI Development Tools: Gaining exposure to various software development tools within Continuous Integration/Continuous Delivery pipelines, such as JIRA, Zephyr, GitHub, Harness, Artifactory, MLOps platforms, model versioning tools, AI-specific testing frameworks, and container orchestration platforms like OpenShift. Event Streaming & Messaging (AI Data Pipelines): Working with event streaming and messaging systems, including Kafka, Flink, Solace, or similar technologies, specifically for real-time data ingestion for Gen AI model training, fine-tuning, and inference. Containerization (AI Model Deployment): Hands-on experience with container technologies like Docker and Kubernetes for scalable and reproducible deployment of Gen AI models and related microservices.No matter your team placement, you can expect: Global Gen AI Exposure: Work on globally scoped Generative AI projects with cross-functional teams, gaining invaluable insights into how this transformative technology is reshaping the financial sector worldwide. Continuous Learning & AI Advancement: Benefit from structured learning paths, extensive networking opportunities, mentorship, and development designed to sharpen your technical prowess in Generative AI, enhance your business acumen, and cultivate your leadership skills, staying abreast of the latest advancements in AI research and technologies. This includes gaining expertise in building agents on our proprietary ARC platform. Real Impact with AI: Contribute to real-world projects that shape the future of banking, from developing cutting-edge Generative AI solutions and intelligent automation to strengthening cybersecurity defenses and driving data-powered innovations.We want to hear from you if We are actively seeking individuals with a profound passion for technology, especially Generative AI, and an unwavering drive to make a significant difference.To join Citi, you should meet the following criteria: Educational Background: Bachelor's degree in a technology-related discipline (e.g., Computer Science, Computer Engineering, Information Technology, MIS) with a specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands-on experience. Problem-Solving Acumen (AI-driven): A proactive problem-solver who thrives on innovation and embraces challenges with enthusiasm, leveraging Generative AI to address complex business problems and create novel solutions. Global Mindset: Possess a global outlook and a strong willingness to collaborate effectively across diverse cultures and time zones, understanding the global implications of AI development. Communication & Leadership: Demonstrate excellent communication skills, project management capabilities, leadership potential, keen attention to detail, and the ability to excel within diverse teams, particularly in articulating complex AI concepts. Technical Proficiency (Gen AI): Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture. Strong experience in AI engineering, particularly in building agentic flows and building agents on our proprietary ARC platform, is highly valued.
Salary: £74,624 and a recruitment and retention allowance of £6,251, with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability (GDDPC) Framework - formerly known as DDaT. Flexible working: we support full time (36 hours per week) and part time (minimum three days a week) working patterns. Due to the sensitive nature of our work, this role is fully office based with no option for remote or home working. About us: We are MI6, also known as the Secret Intelligence Service (SIS). Our mission is to protect the security and economic wellbeing of the UK from overseas threats such as regional instability, terrorism, and cyber attacks. Working across the globe and in close partnership with MI5 and GCHQ, we help the Government to counter these threats through the provision of secret intelligence. A role in MI6 involves providing vital support to this work, within a supportive and encouraging environment that puts the emphasis on teamwork. The role: Enhancing how we operate today will better prepare us for the challenges of tomorrow. That's why we're creating dedicated teams focused on bringing Artificial Intelligence (AI) into some of our most mission critical areas. As a Lead DevOps Engineer, you'll shape and influence the strategic technical direction of a bespoke Cloud platform, ensuring development and operations teams are aligned through strong DevOps practices. You'll take a lead role in defining how infrastructure and services are built, deployed, monitored and operated across MI6. With your considerable experience, you'll ensure platforms and services are scalable, reliable and secure, and that DevOps principles such as continuous integration, continuous delivery, automation and observability are consistently applied. Although the role includes hands on engineering, your primary focus will be setting direction, defining standards and enabling teams. You'll oversee the design and operation of CI/CD pipelines, infrastructure as code and container platforms, and ensure services are well monitored, resilient and easy to operate at scale. By working closely with software engineers, ML Ops, product managers and stakeholders, you'll help reduce friction between development and operations, improve system reliability and lead the adoption of modern DevOps tools and processes. Through mentoring and leadership, you'll promote a strong DevOps culture focused on continuous improvement, operational excellence and shared ownership. About you: You'll bring significant experience leading DevOps or platform engineering in an enterprise environment, with a strong track record of delivering Cloud based infrastructure and services. Your expertise will include infrastructure as code, CI/CD tooling, containerisation, configuration management and monitoring, alongside deep experience of Cloud platforms such as AWS, Azure or Google Cloud. You will specialise in enabling teams through robust infrastructure, automation and operational practices. You'll be a trusted technical leader, comfortable setting direction, mentoring engineers and solving complex, cross cutting problems that span development and operations. Please note you don't need any existing AI expertise beyond a foundational understanding. Instead, you'll bring a genuine passion and some evidence of self study that supports your interest. Rewards and benefits: You'll receive a starting salary of £74,624 and a recruitment and retention allowance of £6,251, plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays. Opportunities to be recognised through our employee performance scheme. Interest free season ticket loan. Cycle to work scheme. Facilities such as a gym, restaurant, and on site coffee bars (at some locations). Paid parental and adoption leave. Equal opportunities: At MI6 diversity and inclusion are critical to our mission. We welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, ethnic minorities, people with disabilities, and those from low socio economic backgrounds. We are committed to providing equitable opportunities throughout the recruitment process to support candidates with disabilities. You will receive an interview offer if you best meet the essential minimum criteria for this position.
10/05/2026
Full time
Salary: £74,624 and a recruitment and retention allowance of £6,251, with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability (GDDPC) Framework - formerly known as DDaT. Flexible working: we support full time (36 hours per week) and part time (minimum three days a week) working patterns. Due to the sensitive nature of our work, this role is fully office based with no option for remote or home working. About us: We are MI6, also known as the Secret Intelligence Service (SIS). Our mission is to protect the security and economic wellbeing of the UK from overseas threats such as regional instability, terrorism, and cyber attacks. Working across the globe and in close partnership with MI5 and GCHQ, we help the Government to counter these threats through the provision of secret intelligence. A role in MI6 involves providing vital support to this work, within a supportive and encouraging environment that puts the emphasis on teamwork. The role: Enhancing how we operate today will better prepare us for the challenges of tomorrow. That's why we're creating dedicated teams focused on bringing Artificial Intelligence (AI) into some of our most mission critical areas. As a Lead DevOps Engineer, you'll shape and influence the strategic technical direction of a bespoke Cloud platform, ensuring development and operations teams are aligned through strong DevOps practices. You'll take a lead role in defining how infrastructure and services are built, deployed, monitored and operated across MI6. With your considerable experience, you'll ensure platforms and services are scalable, reliable and secure, and that DevOps principles such as continuous integration, continuous delivery, automation and observability are consistently applied. Although the role includes hands on engineering, your primary focus will be setting direction, defining standards and enabling teams. You'll oversee the design and operation of CI/CD pipelines, infrastructure as code and container platforms, and ensure services are well monitored, resilient and easy to operate at scale. By working closely with software engineers, ML Ops, product managers and stakeholders, you'll help reduce friction between development and operations, improve system reliability and lead the adoption of modern DevOps tools and processes. Through mentoring and leadership, you'll promote a strong DevOps culture focused on continuous improvement, operational excellence and shared ownership. About you: You'll bring significant experience leading DevOps or platform engineering in an enterprise environment, with a strong track record of delivering Cloud based infrastructure and services. Your expertise will include infrastructure as code, CI/CD tooling, containerisation, configuration management and monitoring, alongside deep experience of Cloud platforms such as AWS, Azure or Google Cloud. You will specialise in enabling teams through robust infrastructure, automation and operational practices. You'll be a trusted technical leader, comfortable setting direction, mentoring engineers and solving complex, cross cutting problems that span development and operations. Please note you don't need any existing AI expertise beyond a foundational understanding. Instead, you'll bring a genuine passion and some evidence of self study that supports your interest. Rewards and benefits: You'll receive a starting salary of £74,624 and a recruitment and retention allowance of £6,251, plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays. Opportunities to be recognised through our employee performance scheme. Interest free season ticket loan. Cycle to work scheme. Facilities such as a gym, restaurant, and on site coffee bars (at some locations). Paid parental and adoption leave. Equal opportunities: At MI6 diversity and inclusion are critical to our mission. We welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, ethnic minorities, people with disabilities, and those from low socio economic backgrounds. We are committed to providing equitable opportunities throughout the recruitment process to support candidates with disabilities. You will receive an interview offer if you best meet the essential minimum criteria for this position.
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance-we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We provide you with the knowledge and skills you need to succeed We're committed to teaching you the ropes. For individuals starting their careers, we offer a supportive environment. Here at Citi, internal development paths are intended to help you build a broad skillset and accelerate your career growth by gaining exposure to more than one team in Software Development. Our supportive environment will help you discover the best fit for your skills and long-term career goals at Citi. Your time here will look like this You will thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting edge technologies, including AI powered coding tools. Translating business requirements into robust code, you'll ensure adherence to stringent quality standards and provide essential support through testing cycles and post production deployment. To deliver systems at the enterprise level that are high quality, scalable, and resilient, you will skilfully utilize advanced tools for code testing and debugging, while learning from top technologists through design sessions and peer code reviews. Furthermore, you'll benefit from a comprehensive support system: you'll join a cohort of new hires, embarking on a shared journey to master our company culture, tools, processes, and the technical proficiencies vital to your success. While technologies may vary across teams, and AI tooling is rapidly evolving, developers will gain exposure to a wide range of technologies and tools across all aspects of the SDLC: Back End Microservices Development: Java, Spring Framework Mobile Development: iOS: Swift, Xcode, MVC Architecture Android: Android Studio, JavaScript, CSS, AJAX, Java Web Services Front End Web Development: React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents: Tools: GitHub Copilot with various models, Citi Squad (automated code reviews), Devin.AI (Agentic Code generation), Prompt Engineering, Workflow Design, GenAI Optimization, Stylus Workspaces (In house Gemini) Large Language Models (LLMs): Gemini, OpenAI, Claude, Llama, Local Models Frameworks: LangChain, LlamaIndex, Hugging Face Orchestration: LangGraph, Multi Agent Systems Development Languages: Java, PythonFastAPI Retrieval Augmented Generation (RAG): PostgreSQL, Vector DBs, Advanced Retrieval ML/DL Frameworks: PyTorch, TensorFlow, Fine tuning Deployment: Enterprise DevOps Pipeline, Docker, Monitoring Tooling Data Analytics: Utilizing tools like Splunk, Tableau, and Adobe Analytics to track customer journey adoption and measure the business value of delivered products. As an individual contributor, you can expect exposure to: Gen AI Strategy & Cloud Deployment: Contributing to the adoption and deployment of cutting edge Generative AI models and solutions on diverse cloud providers such as AWS, leveraging specialized AI/ML services for scalable and efficient inference. This includes advanced AI engineering practices to optimize model performance and reliability. Engineering Excellence (AI/MLOps): Adhering to and implementing Citi's Minimum Development Standards and Minimum Operational Standards, with a strong focus on applying MLOps best practices, ethical AI guidelines, and responsible AI development principles, particularly for managing the lifecycle of Generative AI agents. Architectural Patterns (Gen AI Focus): Exploring and applying the latest design and software architecture patterns and frameworks, including advanced Gen AI model architectures (e.g., Transformers, GANs), prompt engineering patterns, scalable inference solutions, Microservices, APIs, Spring Core/MVC/Boot/Cloud, and RESTful services. This includes designing and building agentic flows for complex business processes. CI/CD & Gen AI Development Tools: Gaining exposure to various software development tools within Continuous Integration/Continuous Delivery pipelines, such as JIRA, Zephyr, GitHub, Harness, Artifactory, MLOps platforms, model versioning tools, AI specific testing frameworks, and container orchestration platforms like OpenShift. Event Streaming & Messaging (AI Data Pipelines): Working with event streaming and messaging systems, including Kafka, Flink, Solace, or similar technologies, specifically for real time data ingestion for Gen AI model training, fine tuning, and inference. Containerization (AI Model Deployment): Hands on experience with container technologies like Docker and Kubernetes for scalable and reproducible deployment of Gen AI models and related microservices. Global Gen AI Exposure: Work on globally scoped Generative AI projects with cross functional teams, gaining invaluable insights into how this transformative technology is reshaping the financial sector worldwide. Continuous Learning & AI Advancement: Benefit from structured learning paths, extensive networking opportunities, mentorship, and development designed to sharpen your technical prowess in Generative AI, enhance your business acumen, and cultivate your leadership skills, staying abreast of the latest advancements in AI research and technologies. This includes gaining expertise in building agents on our proprietary ARC platform. Real Impact with AI: Contribute to real world projects that shape the future of banking, from developing cutting edge Generative AI solutions and intelligent automation to strengthening cybersecurity defenses and driving data powered innovations. We want to hear from you if We are actively seeking individuals with a profound passion for technology, especially Generative AI, and an unwavering drive to make a significant difference. To join Citi, you should meet the following criteria: Educational Background: Bachelor's degree in a technology related discipline (e.g., Computer Science, Computer Engineering, Information Technology, MIS) with a specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands on experience. Problem Solving Acumen (AI driven): A proactive problem solver who thrives on innovation and embraces challenges with enthusiasm, leveraging Generative AI to address complex business problems and create novel solutions. Global Mindset: Possess a global outlook and a strong willingness to collaborate effectively across diverse cultures and time zones, understanding the global implications of AI development. Communication & Leadership: Demonstrate excellent communication skills, project management capabilities, leadership potential, keen attention to detail, and the ability to excel within diverse teams, particularly in articulating complex AI concepts. Technical Proficiency (Gen AI): Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture. Strong experience in AI engineering, particularly in building agentic flows and building agents on our proprietary ARC platform, is highly valued. Collaboration & Adaptability: Must be collaborative and adaptable, with prior experience working on agile teams being highly desirable, especially in a fast paced environment delivering AI solutions. Who we think will be a great fit A steadfast dedication to continuous learning in Generative AI and a genuine passion for applying AI in business are paramount. As global industries continue to evolve, we are seeking professionals who bring a global perspective to the future of banking and are eager to make an impact at the corporate level using AI. We champion diversity, and we expect you to share that value. This role is ideally suited for individuals who: Are ambitious, with a relentless drive to succeed in a fast paced, dynamic environment. Are inherently curious about how Generative AI can revolutionize finance and are eager to be at the forefront of this transformation. Aspire to grow into a future Gen AI leader, combining a passion for AI with its strategic application within the global financial industry. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills: Please see the requirements listed above. Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. . click apply for full job details
09/05/2026
Full time
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance-we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We provide you with the knowledge and skills you need to succeed We're committed to teaching you the ropes. For individuals starting their careers, we offer a supportive environment. Here at Citi, internal development paths are intended to help you build a broad skillset and accelerate your career growth by gaining exposure to more than one team in Software Development. Our supportive environment will help you discover the best fit for your skills and long-term career goals at Citi. Your time here will look like this You will thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting edge technologies, including AI powered coding tools. Translating business requirements into robust code, you'll ensure adherence to stringent quality standards and provide essential support through testing cycles and post production deployment. To deliver systems at the enterprise level that are high quality, scalable, and resilient, you will skilfully utilize advanced tools for code testing and debugging, while learning from top technologists through design sessions and peer code reviews. Furthermore, you'll benefit from a comprehensive support system: you'll join a cohort of new hires, embarking on a shared journey to master our company culture, tools, processes, and the technical proficiencies vital to your success. While technologies may vary across teams, and AI tooling is rapidly evolving, developers will gain exposure to a wide range of technologies and tools across all aspects of the SDLC: Back End Microservices Development: Java, Spring Framework Mobile Development: iOS: Swift, Xcode, MVC Architecture Android: Android Studio, JavaScript, CSS, AJAX, Java Web Services Front End Web Development: React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents: Tools: GitHub Copilot with various models, Citi Squad (automated code reviews), Devin.AI (Agentic Code generation), Prompt Engineering, Workflow Design, GenAI Optimization, Stylus Workspaces (In house Gemini) Large Language Models (LLMs): Gemini, OpenAI, Claude, Llama, Local Models Frameworks: LangChain, LlamaIndex, Hugging Face Orchestration: LangGraph, Multi Agent Systems Development Languages: Java, PythonFastAPI Retrieval Augmented Generation (RAG): PostgreSQL, Vector DBs, Advanced Retrieval ML/DL Frameworks: PyTorch, TensorFlow, Fine tuning Deployment: Enterprise DevOps Pipeline, Docker, Monitoring Tooling Data Analytics: Utilizing tools like Splunk, Tableau, and Adobe Analytics to track customer journey adoption and measure the business value of delivered products. As an individual contributor, you can expect exposure to: Gen AI Strategy & Cloud Deployment: Contributing to the adoption and deployment of cutting edge Generative AI models and solutions on diverse cloud providers such as AWS, leveraging specialized AI/ML services for scalable and efficient inference. This includes advanced AI engineering practices to optimize model performance and reliability. Engineering Excellence (AI/MLOps): Adhering to and implementing Citi's Minimum Development Standards and Minimum Operational Standards, with a strong focus on applying MLOps best practices, ethical AI guidelines, and responsible AI development principles, particularly for managing the lifecycle of Generative AI agents. Architectural Patterns (Gen AI Focus): Exploring and applying the latest design and software architecture patterns and frameworks, including advanced Gen AI model architectures (e.g., Transformers, GANs), prompt engineering patterns, scalable inference solutions, Microservices, APIs, Spring Core/MVC/Boot/Cloud, and RESTful services. This includes designing and building agentic flows for complex business processes. CI/CD & Gen AI Development Tools: Gaining exposure to various software development tools within Continuous Integration/Continuous Delivery pipelines, such as JIRA, Zephyr, GitHub, Harness, Artifactory, MLOps platforms, model versioning tools, AI specific testing frameworks, and container orchestration platforms like OpenShift. Event Streaming & Messaging (AI Data Pipelines): Working with event streaming and messaging systems, including Kafka, Flink, Solace, or similar technologies, specifically for real time data ingestion for Gen AI model training, fine tuning, and inference. Containerization (AI Model Deployment): Hands on experience with container technologies like Docker and Kubernetes for scalable and reproducible deployment of Gen AI models and related microservices. Global Gen AI Exposure: Work on globally scoped Generative AI projects with cross functional teams, gaining invaluable insights into how this transformative technology is reshaping the financial sector worldwide. Continuous Learning & AI Advancement: Benefit from structured learning paths, extensive networking opportunities, mentorship, and development designed to sharpen your technical prowess in Generative AI, enhance your business acumen, and cultivate your leadership skills, staying abreast of the latest advancements in AI research and technologies. This includes gaining expertise in building agents on our proprietary ARC platform. Real Impact with AI: Contribute to real world projects that shape the future of banking, from developing cutting edge Generative AI solutions and intelligent automation to strengthening cybersecurity defenses and driving data powered innovations. We want to hear from you if We are actively seeking individuals with a profound passion for technology, especially Generative AI, and an unwavering drive to make a significant difference. To join Citi, you should meet the following criteria: Educational Background: Bachelor's degree in a technology related discipline (e.g., Computer Science, Computer Engineering, Information Technology, MIS) with a specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands on experience. Problem Solving Acumen (AI driven): A proactive problem solver who thrives on innovation and embraces challenges with enthusiasm, leveraging Generative AI to address complex business problems and create novel solutions. Global Mindset: Possess a global outlook and a strong willingness to collaborate effectively across diverse cultures and time zones, understanding the global implications of AI development. Communication & Leadership: Demonstrate excellent communication skills, project management capabilities, leadership potential, keen attention to detail, and the ability to excel within diverse teams, particularly in articulating complex AI concepts. Technical Proficiency (Gen AI): Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture. Strong experience in AI engineering, particularly in building agentic flows and building agents on our proprietary ARC platform, is highly valued. Collaboration & Adaptability: Must be collaborative and adaptable, with prior experience working on agile teams being highly desirable, especially in a fast paced environment delivering AI solutions. Who we think will be a great fit A steadfast dedication to continuous learning in Generative AI and a genuine passion for applying AI in business are paramount. As global industries continue to evolve, we are seeking professionals who bring a global perspective to the future of banking and are eager to make an impact at the corporate level using AI. We champion diversity, and we expect you to share that value. This role is ideally suited for individuals who: Are ambitious, with a relentless drive to succeed in a fast paced, dynamic environment. Are inherently curious about how Generative AI can revolutionize finance and are eager to be at the forefront of this transformation. Aspire to grow into a future Gen AI leader, combining a passion for AI with its strategic application within the global financial industry. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills: Please see the requirements listed above. Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. . click apply for full job details
At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we've been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals-all seeking to improve the way projects are delivered. Our vision is simple yet powerful:to improve the lives of people everywhere through the delivery of projects.We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We're proud to have been namedWinners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there's never been a better time to be part of our journey. We're building something special-scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we're keen to build a team that is as ambitious as we are. Our IDEAL Values: Integrity- We do the right thing, always. Drive- We push boundaries and strive for excellence. Empathy- We care deeply about our people and clients. Adaptability- We embrace change and thrive in it. Loyalty- We stand by each other and our mission. Job Summary We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry. This is a high impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers. Key Responsibilities Technical Leadership & Architecture:With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation:Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. Team Leadership & Mentorship:Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions. Research & Development:Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting edge techniques into our technology stack. Contribute to open source projects and represent the company at technical conferences and industry forums. Drive proof of concept initiatives and experimental projects to explore new AI capabilities. Technical Governance & Quality:Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise:Deep expertise in AI/ML frameworks-TensorFlow, PyTorch, Scikit Learn, Transformers-cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence:Proven experience building production scale AI systems with focus on performance, reliability, and maintainability. Expertise in software architecture, distributed systems, and DevOps/MLOps practices. Leadership & Collaboration:Demonstrated ability to lead technical teams, drive consensus on technical decisions, and collaborate effectively across departments. Experience mentoring engineers and fostering technical growth. Innovation & Problem Solving:Track record of solving complex technical challenges and delivering innovative AI solutions that create measurable business impact. Qualifications & Experience Demonstrable experience in AI/ML engineering, with at least 2 years in a senior technical leadership role. Master's or post graduate degree in Data Science, AI Engineering, or related fields requiring statistical rigour. Master's or PhD in a technical field requiring statistical rigour. Proven track record of leading the development and deployment of production AI systems at scale. Strong publication record or contributions to open source AI projects preferred. Experience with modern software development practices including CI/CD, testing frameworks, and agile methodologies. Office Address : Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: VAT No: GB
09/05/2026
Full time
At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we've been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals-all seeking to improve the way projects are delivered. Our vision is simple yet powerful:to improve the lives of people everywhere through the delivery of projects.We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We're proud to have been namedWinners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there's never been a better time to be part of our journey. We're building something special-scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we're keen to build a team that is as ambitious as we are. Our IDEAL Values: Integrity- We do the right thing, always. Drive- We push boundaries and strive for excellence. Empathy- We care deeply about our people and clients. Adaptability- We embrace change and thrive in it. Loyalty- We stand by each other and our mission. Job Summary We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry. This is a high impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers. Key Responsibilities Technical Leadership & Architecture:With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation:Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. Team Leadership & Mentorship:Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions. Research & Development:Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting edge techniques into our technology stack. Contribute to open source projects and represent the company at technical conferences and industry forums. Drive proof of concept initiatives and experimental projects to explore new AI capabilities. Technical Governance & Quality:Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise:Deep expertise in AI/ML frameworks-TensorFlow, PyTorch, Scikit Learn, Transformers-cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence:Proven experience building production scale AI systems with focus on performance, reliability, and maintainability. Expertise in software architecture, distributed systems, and DevOps/MLOps practices. Leadership & Collaboration:Demonstrated ability to lead technical teams, drive consensus on technical decisions, and collaborate effectively across departments. Experience mentoring engineers and fostering technical growth. Innovation & Problem Solving:Track record of solving complex technical challenges and delivering innovative AI solutions that create measurable business impact. Qualifications & Experience Demonstrable experience in AI/ML engineering, with at least 2 years in a senior technical leadership role. Master's or post graduate degree in Data Science, AI Engineering, or related fields requiring statistical rigour. Master's or PhD in a technical field requiring statistical rigour. Proven track record of leading the development and deployment of production AI systems at scale. Strong publication record or contributions to open source AI projects preferred. Experience with modern software development practices including CI/CD, testing frameworks, and agile methodologies. Office Address : Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: VAT No: GB
Overview Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Want to stand out? Consulting Experience Databricks Machine Learning Associate or Machine Learning Professional Certification Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc Experience with deep learning frameworks like TensorFlow or PyTorch Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the US, UK or Colombia.
09/05/2026
Full time
Overview Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Want to stand out? Consulting Experience Databricks Machine Learning Associate or Machine Learning Professional Certification Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc Experience with deep learning frameworks like TensorFlow or PyTorch Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the US, UK or Colombia.
Salary £63,823, with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability (GDDPC) Framework - formerly known as DDaT. Flexible working We support full time (36 hours per week) and part-time (minimum three days a week) working patterns. Due to the sensitive nature of our work, this role is fully office-based with no option for remote or home working. About us We're MI6, also known as the Secret Intelligence Service (SIS). Our mission is to protect the security and economic wellbeing of the UK from overseas threats such as regional instability, terrorism, and cyber attacks. Working across the globe and in close partnership with MI5 and GCHQ, we help the Government to counter these threats through the provision of secret intelligence. A role in MI6 will see you providing vital support to this work, within a supportive and encouraging environment that puts the emphasis on teamwork. The role Enhancing how we operate today will better prepare us for the challenges of tomorrow. That's why we're creating dedicated teams focused on bringing Artificial Intelligence (AI) into some of our most mission critical areas. As a Senior DevOps Engineer, you'll play a key role in bridging development and operations by enabling teams to deliver software reliably, securely and at pace. You'll help design, build and run a bespoke internal Cloud platform, ensuring the smooth operation of systems and infrastructure that support AI, ML Ops and wider engineering teams. You'll focus on embedding DevOps practices such as continuous integration, continuous delivery, infrastructure automation and monitoring, creating reliable pipelines and tooling that underpin modern engineering ways of working. With a primary focus on delivery and operational excellence, you'll support the creation of a scalable, reliable and secure Cloud based platform. You'll build and maintain CI/CD pipelines, develop infrastructure as code, deliver DevOps automation, and ensure systems are observable, resilient and well monitored. In doing so, you'll create shared tooling and services that teams across MI6 can use securely and effectively. Working closely with software engineers, product managers and ML Ops teams, you'll promote a strong DevOps culture by improving collaboration, reducing friction between teams and continuously improving how services are built, deployed and operated. Whether troubleshooting live issues, improving platform reliability or adopting industry best practice, you'll deliver practical, high quality solutions that support the organisation's mission. About you You'll be an experienced DevOps or platform focused engineer, with demonstrable experience designing, automating and operating Cloud based systems in complex environments. You'll bring strong experience of infrastructure as code, CI/CD, configuration management, containerisation and monitoring, alongside hands on experience with Cloud platforms such as AWS, Azure or Google Cloud. You'll be someone seeking to move into a senior role providing technical direction and mentoring to less experienced engineers. Adaptable, collaborative and knowledgeable, you'll be a problem solver with a knack for troubleshooting. Importantly, you'll be keen to learn, with an eye on emerging trends, and excited by the prospect of significant upskilling in AI and ML Ops. Please note, you don't need any existing AI expertise beyond a foundational understanding. Instead, you'll bring a genuine passion and some evidence of self study that supports your interest. Training and development We take professional development seriously, and you'll be joining a community that invests in helping people grow their skills. You'll have access to a broad mix of learning opportunities, including in house and online training, technical deep dives and development pathways shaped around your interests and the needs of the organisation. This includes support to strengthen your capability across modern AI techniques, Cloud technologies and wider analytical or engineering practices. We use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. You'll also have opportunities to work with external professional bodies and training providers who offer routes to specialist accreditation, advanced AI training or broader professional recognition. Whether you choose to deepen your expertise in a specific technical area or broaden your capability across new domains, you'll have the guidance and support you need to progress. Alongside formal training, you'll benefit from mentoring, peer support and a collaborative community that shares knowledge openly. You'll have opportunities to rotate across different teams, explore emerging technologies and contribute to shaping how MI6 evolves its AI and data science capability. As you develop, you'll have the space to experiment, expand your expertise and play an active role in strengthening our AI practice across the organisation. Rewards and benefits You'll receive a starting salary of £63,823, plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme interest free season ticket loan (travel and parking) cycle to work scheme facilities such as a gym, restaurant, and on site coffee bars (at some locations) paid parental and adoption leave Equal opportunities At MI6 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds.
08/05/2026
Full time
Salary £63,823, with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability (GDDPC) Framework - formerly known as DDaT. Flexible working We support full time (36 hours per week) and part-time (minimum three days a week) working patterns. Due to the sensitive nature of our work, this role is fully office-based with no option for remote or home working. About us We're MI6, also known as the Secret Intelligence Service (SIS). Our mission is to protect the security and economic wellbeing of the UK from overseas threats such as regional instability, terrorism, and cyber attacks. Working across the globe and in close partnership with MI5 and GCHQ, we help the Government to counter these threats through the provision of secret intelligence. A role in MI6 will see you providing vital support to this work, within a supportive and encouraging environment that puts the emphasis on teamwork. The role Enhancing how we operate today will better prepare us for the challenges of tomorrow. That's why we're creating dedicated teams focused on bringing Artificial Intelligence (AI) into some of our most mission critical areas. As a Senior DevOps Engineer, you'll play a key role in bridging development and operations by enabling teams to deliver software reliably, securely and at pace. You'll help design, build and run a bespoke internal Cloud platform, ensuring the smooth operation of systems and infrastructure that support AI, ML Ops and wider engineering teams. You'll focus on embedding DevOps practices such as continuous integration, continuous delivery, infrastructure automation and monitoring, creating reliable pipelines and tooling that underpin modern engineering ways of working. With a primary focus on delivery and operational excellence, you'll support the creation of a scalable, reliable and secure Cloud based platform. You'll build and maintain CI/CD pipelines, develop infrastructure as code, deliver DevOps automation, and ensure systems are observable, resilient and well monitored. In doing so, you'll create shared tooling and services that teams across MI6 can use securely and effectively. Working closely with software engineers, product managers and ML Ops teams, you'll promote a strong DevOps culture by improving collaboration, reducing friction between teams and continuously improving how services are built, deployed and operated. Whether troubleshooting live issues, improving platform reliability or adopting industry best practice, you'll deliver practical, high quality solutions that support the organisation's mission. About you You'll be an experienced DevOps or platform focused engineer, with demonstrable experience designing, automating and operating Cloud based systems in complex environments. You'll bring strong experience of infrastructure as code, CI/CD, configuration management, containerisation and monitoring, alongside hands on experience with Cloud platforms such as AWS, Azure or Google Cloud. You'll be someone seeking to move into a senior role providing technical direction and mentoring to less experienced engineers. Adaptable, collaborative and knowledgeable, you'll be a problem solver with a knack for troubleshooting. Importantly, you'll be keen to learn, with an eye on emerging trends, and excited by the prospect of significant upskilling in AI and ML Ops. Please note, you don't need any existing AI expertise beyond a foundational understanding. Instead, you'll bring a genuine passion and some evidence of self study that supports your interest. Training and development We take professional development seriously, and you'll be joining a community that invests in helping people grow their skills. You'll have access to a broad mix of learning opportunities, including in house and online training, technical deep dives and development pathways shaped around your interests and the needs of the organisation. This includes support to strengthen your capability across modern AI techniques, Cloud technologies and wider analytical or engineering practices. We use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. You'll also have opportunities to work with external professional bodies and training providers who offer routes to specialist accreditation, advanced AI training or broader professional recognition. Whether you choose to deepen your expertise in a specific technical area or broaden your capability across new domains, you'll have the guidance and support you need to progress. Alongside formal training, you'll benefit from mentoring, peer support and a collaborative community that shares knowledge openly. You'll have opportunities to rotate across different teams, explore emerging technologies and contribute to shaping how MI6 evolves its AI and data science capability. As you develop, you'll have the space to experiment, expand your expertise and play an active role in strengthening our AI practice across the organisation. Rewards and benefits You'll receive a starting salary of £63,823, plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme interest free season ticket loan (travel and parking) cycle to work scheme facilities such as a gym, restaurant, and on site coffee bars (at some locations) paid parental and adoption leave Equal opportunities At MI6 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds.
Senior DevOps Engineer (DV) - Cheltenham/Gloucester or Manchester (Hybrid) You'll be joining an experienced software dev function, working in a cross functional team, delivering and deploying applications and software to cloud or on prem environments across National Security projects. The team deliver DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. Due to the nature of work, and the sector this team is working in, we require all candidates to currently hold an active DV or eDV UK Security Clearance. Skills and Experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code, e.g. Terraform, Puppet, Chef, Ansible, etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines Container platform and orchestration systems (ECS, AKS, Kubernetes, Helm, Docker) Experience in automation and integration tools such as Jenkins, Concourse CI or cloud equivalents Experience in scripting languages and source control Responsibilities Building and setting up development tools and infrastructure Understand the needs of project stakeholders Automate and improve development and release processes Ensure that systems are safe and secure against cyber security threats Identify technical problems and develop software updates and solutions Work with other engineers to ensure that development follows established processes and works as intended Benefits Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work among others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave
08/05/2026
Full time
Senior DevOps Engineer (DV) - Cheltenham/Gloucester or Manchester (Hybrid) You'll be joining an experienced software dev function, working in a cross functional team, delivering and deploying applications and software to cloud or on prem environments across National Security projects. The team deliver DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. Due to the nature of work, and the sector this team is working in, we require all candidates to currently hold an active DV or eDV UK Security Clearance. Skills and Experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code, e.g. Terraform, Puppet, Chef, Ansible, etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines Container platform and orchestration systems (ECS, AKS, Kubernetes, Helm, Docker) Experience in automation and integration tools such as Jenkins, Concourse CI or cloud equivalents Experience in scripting languages and source control Responsibilities Building and setting up development tools and infrastructure Understand the needs of project stakeholders Automate and improve development and release processes Ensure that systems are safe and secure against cyber security threats Identify technical problems and develop software updates and solutions Work with other engineers to ensure that development follows established processes and works as intended Benefits Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work among others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave
Job Description Please wait Data Science SpecialistReq ID: 55744Posting Start Date: 29/04/2026Job Function: SecurityDivision: UK BusinessJob Location: GBR Chelmsford TEAdvertised Salary: Competitive Salary + Benefits Recruiter: Krystle James Career Grade: D Internal Closing Date: 11/05/26 Due to the sensitive nature of this role, you will be required to undergo DV (Developed Vetting) level Security Clearance (. An allowance of £5k per annum may be payable monthly while you hold this DV and continue to work in a role that requires that level of security clearance. The terms of this allowance will be made available if you are successful in being recruited into this role.Security isn't always the first thing that comes to mind when you think of BT, but when it comes to keeping everyone safely connected, We Are The Protectors. We deal with thousands of cyber-attacks every day, so that millions of people can safely go about their daily lives and run their businesses. We deliver vital work at scale, with real breadth and impact. We connect for good. You'll be joining a specialist security team that is a trusted partner to governments worldwide, protecting critical national infrastructure and committed to the safety and security of our nation and global communities. Our mission focused work is innovative, inspiring and technologically challenging in a way that makes every day different and stimulating. We provide the opportunity to work on rare projects, with exciting tools and brilliant people. Everyone has access to unparalleled professional and personal development opportunities and your contribution is always valued. Why this job matters This role sits within BT's Security Division and is responsible for maturing the data science capability, acting as a leader for how we exploit the value in our data.The successful candidate will play a key part in building internal expertise and delivering innovative solutions to meet both internal and customer requirements. The role holder will lead and develop an agile team of data scientists across multiple projects. In addition to technical delivery, the role has a strategic dimension-identifying high-impact opportunities and engaging across the wider organisation. This job role can be based in Manchester, Ipswich, Cheltenham. Onsite (Office based 5 days per week). Monday-Friday 37.5 hours per week. You will need to be eligible to obtain DV Security Clearance before starting this role. You will need to have lived in the UK for 10+ years to be eligible. What you'll be doing Supports the exploitation of data on critical customer platforms. Mentors other Data Science & AI professionals, helping to improve the team's abilities by acting as a technical resource. Coordinates the development and implementation of custom data models, intelligent algorithms, and AI solutions to apply to data sets. Pursue new opportunities to utilise data science/machine learning for improved outcomes. Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence. Essential Skills Data Analysis Programming Scripting Artificial Intelligence/Machine Learning Statistical Analysis What we'd like to see on your CV Programming/Scripting: Strong skills with compiled and interpreted languages such as python and scala. Data Analysis: Understanding of graphs, Networks, time-series modelling, numerical algorithms and geospatial analytics. Machine Learning: Understanding of machine learning techniques and frameworks such as scikit-learn, TensorFlow, PyTorch, etc. Devops: Basic devops and system level linux skills - confident with ssh and shell scripting, cron, package management.Familiar with version control and a mix of development environments. Software Development: Highly experienced with compiled and interpreted languages such as Python and Scala/Java, confident with common in libraries like Pandas, NumPy. Cyber Analytics: Understanding and detecting threats in Networks data. Benefits Competitive salary 10% on target bonus (Depending on country based) BT Pension scheme, minimum 5% Employee contribution, BT contribution 10% On-call allowance (Depending on the requirements of the role) 25 days annual leave (not including bank holidays), increasing with service Huge range of flexible benefits including cycle to work, healthcare, season ticket loan World-class training and development opportunities From January 2025, equal family leave: receive 18 weeks at full pay, 8 weeks at half pay and 26 weeks at the statutory rate. It's for all parents, no matter how your family is made up. Enhanced women's health support: including help with menopause symptoms, cancer screenings, period care and more. 24/7 private virtual GP appointments for UK colleagues 2 weeks paid carer's leave World-class training and development opportunities Option to join BT Shares Saving schemes. Discounted broadband, mobile and TV packages Access to 100's of retail discounts including the BT shop is one of the fastest growing parts of our global organisation. We are protecting our networks from more than 6,500 cyber attacks each day, investing over £40m in research each year - and in employing nearly 3,000 people, we're also the largest private cyber employer in the UK. With incredible opportunities to learn, develop and grow your skills, we'll invest in you, nurture your potential and shape your future - whatever your background or experience. In today's world, safe and secure digital connections have never been more vital. You'll be joining a global company operating at the forefront of the information age: BT employs 90,000 people in 180 countries. With huge scale, we're capable of achieving great things, striving to be personal, simple, and brilliant for our customers whilst creating an inclusive working environment where people from all backgrounds can succeed. Play your part. Make a difference. We are the Protectors. A FEW POINTS TO NOTE: Although these roles are listed as full-time, if you're a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Please wait
07/05/2026
Full time
Job Description Please wait Data Science SpecialistReq ID: 55744Posting Start Date: 29/04/2026Job Function: SecurityDivision: UK BusinessJob Location: GBR Chelmsford TEAdvertised Salary: Competitive Salary + Benefits Recruiter: Krystle James Career Grade: D Internal Closing Date: 11/05/26 Due to the sensitive nature of this role, you will be required to undergo DV (Developed Vetting) level Security Clearance (. An allowance of £5k per annum may be payable monthly while you hold this DV and continue to work in a role that requires that level of security clearance. The terms of this allowance will be made available if you are successful in being recruited into this role.Security isn't always the first thing that comes to mind when you think of BT, but when it comes to keeping everyone safely connected, We Are The Protectors. We deal with thousands of cyber-attacks every day, so that millions of people can safely go about their daily lives and run their businesses. We deliver vital work at scale, with real breadth and impact. We connect for good. You'll be joining a specialist security team that is a trusted partner to governments worldwide, protecting critical national infrastructure and committed to the safety and security of our nation and global communities. Our mission focused work is innovative, inspiring and technologically challenging in a way that makes every day different and stimulating. We provide the opportunity to work on rare projects, with exciting tools and brilliant people. Everyone has access to unparalleled professional and personal development opportunities and your contribution is always valued. Why this job matters This role sits within BT's Security Division and is responsible for maturing the data science capability, acting as a leader for how we exploit the value in our data.The successful candidate will play a key part in building internal expertise and delivering innovative solutions to meet both internal and customer requirements. The role holder will lead and develop an agile team of data scientists across multiple projects. In addition to technical delivery, the role has a strategic dimension-identifying high-impact opportunities and engaging across the wider organisation. This job role can be based in Manchester, Ipswich, Cheltenham. Onsite (Office based 5 days per week). Monday-Friday 37.5 hours per week. You will need to be eligible to obtain DV Security Clearance before starting this role. You will need to have lived in the UK for 10+ years to be eligible. What you'll be doing Supports the exploitation of data on critical customer platforms. Mentors other Data Science & AI professionals, helping to improve the team's abilities by acting as a technical resource. Coordinates the development and implementation of custom data models, intelligent algorithms, and AI solutions to apply to data sets. Pursue new opportunities to utilise data science/machine learning for improved outcomes. Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence. Essential Skills Data Analysis Programming Scripting Artificial Intelligence/Machine Learning Statistical Analysis What we'd like to see on your CV Programming/Scripting: Strong skills with compiled and interpreted languages such as python and scala. Data Analysis: Understanding of graphs, Networks, time-series modelling, numerical algorithms and geospatial analytics. Machine Learning: Understanding of machine learning techniques and frameworks such as scikit-learn, TensorFlow, PyTorch, etc. Devops: Basic devops and system level linux skills - confident with ssh and shell scripting, cron, package management.Familiar with version control and a mix of development environments. Software Development: Highly experienced with compiled and interpreted languages such as Python and Scala/Java, confident with common in libraries like Pandas, NumPy. Cyber Analytics: Understanding and detecting threats in Networks data. Benefits Competitive salary 10% on target bonus (Depending on country based) BT Pension scheme, minimum 5% Employee contribution, BT contribution 10% On-call allowance (Depending on the requirements of the role) 25 days annual leave (not including bank holidays), increasing with service Huge range of flexible benefits including cycle to work, healthcare, season ticket loan World-class training and development opportunities From January 2025, equal family leave: receive 18 weeks at full pay, 8 weeks at half pay and 26 weeks at the statutory rate. It's for all parents, no matter how your family is made up. Enhanced women's health support: including help with menopause symptoms, cancer screenings, period care and more. 24/7 private virtual GP appointments for UK colleagues 2 weeks paid carer's leave World-class training and development opportunities Option to join BT Shares Saving schemes. Discounted broadband, mobile and TV packages Access to 100's of retail discounts including the BT shop is one of the fastest growing parts of our global organisation. We are protecting our networks from more than 6,500 cyber attacks each day, investing over £40m in research each year - and in employing nearly 3,000 people, we're also the largest private cyber employer in the UK. With incredible opportunities to learn, develop and grow your skills, we'll invest in you, nurture your potential and shape your future - whatever your background or experience. In today's world, safe and secure digital connections have never been more vital. You'll be joining a global company operating at the forefront of the information age: BT employs 90,000 people in 180 countries. With huge scale, we're capable of achieving great things, striving to be personal, simple, and brilliant for our customers whilst creating an inclusive working environment where people from all backgrounds can succeed. Play your part. Make a difference. We are the Protectors. A FEW POINTS TO NOTE: Although these roles are listed as full-time, if you're a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Please wait
Cloud Platform Engineer Role type: Contract Location: London/remote Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues. Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia's ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. THE ROLE The Cloud Platform Engineers deliver infrastructure solutions as part of an experienced cross disciplinary team. We have a developer mindset and deliver our infrastructure through code, holding ourselves to the same quality and code standards as the rest of the team. We need you to use your hands on experience to drive the design, development and deployment of Satalia's Logistics and Delivery products. YOUR RESPONSIBILITIES: Work with our solution architects to identify the best technologies and process for our clients Act as a technical authority to engage and steer discussions on best practice and risk mitigation Ensure security considerations are implemented, tested and maintained Build in Observability MINIMUM QUALIFICATIONS / SKILLS Building infrastructure and deploying code in one of the main Clouds (preferably GCP, Bitbucket Pipelines, Terraform, Kubernetes, ArgoCD, K6) Implementing and maintaining monitoring, logging and tracing tools (Grafana or similar) Communicating and explaining technical concepts at appropriate levels for your team and to clients Understanding of the strengths and weaknesses of Infrastructure and Configuration as Code Safe Deployment strategies and CI/CD Cloud based and Cloud native system design Observability Developer Experience DevOps and SRE InfoSec and SIEM If you know this, even better: We're interested in talking to people who have worked with different technologies. We're looking for candidates who can demonstrate skills from this list, and who have curiosity and want to learn more: Experience in the Logistics industry Practical experience with BitBucket Pipelines, GitHUb Actions Workflows or Azure Devops Pipelines, Repos and Artifacts Experience with Kubernetes, and familiarity with differing Cloud implementations Experience deploying and operating observability stacks in production environments, including integration with Kubernetes workloads and cloud native services Hands on with Terraform - familiarity with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling - Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - Powershell, Python, Bash, Ruby, Perl Satalia Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you. We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy. Good luck!
07/05/2026
Full time
Cloud Platform Engineer Role type: Contract Location: London/remote Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues. Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia's ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. THE ROLE The Cloud Platform Engineers deliver infrastructure solutions as part of an experienced cross disciplinary team. We have a developer mindset and deliver our infrastructure through code, holding ourselves to the same quality and code standards as the rest of the team. We need you to use your hands on experience to drive the design, development and deployment of Satalia's Logistics and Delivery products. YOUR RESPONSIBILITIES: Work with our solution architects to identify the best technologies and process for our clients Act as a technical authority to engage and steer discussions on best practice and risk mitigation Ensure security considerations are implemented, tested and maintained Build in Observability MINIMUM QUALIFICATIONS / SKILLS Building infrastructure and deploying code in one of the main Clouds (preferably GCP, Bitbucket Pipelines, Terraform, Kubernetes, ArgoCD, K6) Implementing and maintaining monitoring, logging and tracing tools (Grafana or similar) Communicating and explaining technical concepts at appropriate levels for your team and to clients Understanding of the strengths and weaknesses of Infrastructure and Configuration as Code Safe Deployment strategies and CI/CD Cloud based and Cloud native system design Observability Developer Experience DevOps and SRE InfoSec and SIEM If you know this, even better: We're interested in talking to people who have worked with different technologies. We're looking for candidates who can demonstrate skills from this list, and who have curiosity and want to learn more: Experience in the Logistics industry Practical experience with BitBucket Pipelines, GitHUb Actions Workflows or Azure Devops Pipelines, Repos and Artifacts Experience with Kubernetes, and familiarity with differing Cloud implementations Experience deploying and operating observability stacks in production environments, including integration with Kubernetes workloads and cloud native services Hands on with Terraform - familiarity with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling - Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - Powershell, Python, Bash, Ruby, Perl Satalia Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you. We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy. Good luck!
Salary: £74,624 and a recruitment and retention allowance of £6,251, with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability (GDDPC) Framework - formerly known as DDaT. Flexible working: we support full time (36 hours per week) and part time (minimum three days a week) working patterns. Due to the sensitive nature of our work, this role is fully office based with no option for remote or home working. About us: We are MI6, also known as the Secret Intelligence Service (SIS). Our mission is to protect the security and economic wellbeing of the UK from overseas threats such as regional instability, terrorism, and cyber attacks. Working across the globe and in close partnership with MI5 and GCHQ, we help the Government to counter these threats through the provision of secret intelligence. A role in MI6 involves providing vital support to this work, within a supportive and encouraging environment that puts the emphasis on teamwork. The role: Enhancing how we operate today will better prepare us for the challenges of tomorrow. That's why we're creating dedicated teams focused on bringing Artificial Intelligence (AI) into some of our most mission critical areas. As a Lead DevOps Engineer, you'll shape and influence the strategic technical direction of a bespoke Cloud platform, ensuring development and operations teams are aligned through strong DevOps practices. You'll take a lead role in defining how infrastructure and services are built, deployed, monitored and operated across MI6. With your considerable experience, you'll ensure platforms and services are scalable, reliable and secure, and that DevOps principles such as continuous integration, continuous delivery, automation and observability are consistently applied. Although the role includes hands on engineering, your primary focus will be setting direction, defining standards and enabling teams. You'll oversee the design and operation of CI/CD pipelines, infrastructure as code and container platforms, and ensure services are well monitored, resilient and easy to operate at scale. By working closely with software engineers, ML Ops, product managers and stakeholders, you'll help reduce friction between development and operations, improve system reliability and lead the adoption of modern DevOps tools and processes. Through mentoring and leadership, you'll promote a strong DevOps culture focused on continuous improvement, operational excellence and shared ownership. About you: You'll bring significant experience leading DevOps or platform engineering in an enterprise environment, with a strong track record of delivering Cloud based infrastructure and services. Your expertise will include infrastructure as code, CI/CD tooling, containerisation, configuration management and monitoring, alongside deep experience of Cloud platforms such as AWS, Azure or Google Cloud. You will specialise in enabling teams through robust infrastructure, automation and operational practices. You'll be a trusted technical leader, comfortable setting direction, mentoring engineers and solving complex, cross cutting problems that span development and operations. Please note you don't need any existing AI expertise beyond a foundational understanding. Instead, you'll bring a genuine passion and some evidence of self study that supports your interest. Rewards and benefits: You'll receive a starting salary of £74,624 and a recruitment and retention allowance of £6,251, plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays. Opportunities to be recognised through our employee performance scheme. Interest free season ticket loan. Cycle to work scheme. Facilities such as a gym, restaurant, and on site coffee bars (at some locations). Paid parental and adoption leave. Equal opportunities: At MI6 diversity and inclusion are critical to our mission. We welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, ethnic minorities, people with disabilities, and those from low socio economic backgrounds. We are committed to providing equitable opportunities throughout the recruitment process to support candidates with disabilities. You will receive an interview offer if you best meet the essential minimum criteria for this position.
07/05/2026
Full time
Salary: £74,624 and a recruitment and retention allowance of £6,251, with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability (GDDPC) Framework - formerly known as DDaT. Flexible working: we support full time (36 hours per week) and part time (minimum three days a week) working patterns. Due to the sensitive nature of our work, this role is fully office based with no option for remote or home working. About us: We are MI6, also known as the Secret Intelligence Service (SIS). Our mission is to protect the security and economic wellbeing of the UK from overseas threats such as regional instability, terrorism, and cyber attacks. Working across the globe and in close partnership with MI5 and GCHQ, we help the Government to counter these threats through the provision of secret intelligence. A role in MI6 involves providing vital support to this work, within a supportive and encouraging environment that puts the emphasis on teamwork. The role: Enhancing how we operate today will better prepare us for the challenges of tomorrow. That's why we're creating dedicated teams focused on bringing Artificial Intelligence (AI) into some of our most mission critical areas. As a Lead DevOps Engineer, you'll shape and influence the strategic technical direction of a bespoke Cloud platform, ensuring development and operations teams are aligned through strong DevOps practices. You'll take a lead role in defining how infrastructure and services are built, deployed, monitored and operated across MI6. With your considerable experience, you'll ensure platforms and services are scalable, reliable and secure, and that DevOps principles such as continuous integration, continuous delivery, automation and observability are consistently applied. Although the role includes hands on engineering, your primary focus will be setting direction, defining standards and enabling teams. You'll oversee the design and operation of CI/CD pipelines, infrastructure as code and container platforms, and ensure services are well monitored, resilient and easy to operate at scale. By working closely with software engineers, ML Ops, product managers and stakeholders, you'll help reduce friction between development and operations, improve system reliability and lead the adoption of modern DevOps tools and processes. Through mentoring and leadership, you'll promote a strong DevOps culture focused on continuous improvement, operational excellence and shared ownership. About you: You'll bring significant experience leading DevOps or platform engineering in an enterprise environment, with a strong track record of delivering Cloud based infrastructure and services. Your expertise will include infrastructure as code, CI/CD tooling, containerisation, configuration management and monitoring, alongside deep experience of Cloud platforms such as AWS, Azure or Google Cloud. You will specialise in enabling teams through robust infrastructure, automation and operational practices. You'll be a trusted technical leader, comfortable setting direction, mentoring engineers and solving complex, cross cutting problems that span development and operations. Please note you don't need any existing AI expertise beyond a foundational understanding. Instead, you'll bring a genuine passion and some evidence of self study that supports your interest. Rewards and benefits: You'll receive a starting salary of £74,624 and a recruitment and retention allowance of £6,251, plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays. Opportunities to be recognised through our employee performance scheme. Interest free season ticket loan. Cycle to work scheme. Facilities such as a gym, restaurant, and on site coffee bars (at some locations). Paid parental and adoption leave. Equal opportunities: At MI6 diversity and inclusion are critical to our mission. We welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, ethnic minorities, people with disabilities, and those from low socio economic backgrounds. We are committed to providing equitable opportunities throughout the recruitment process to support candidates with disabilities. You will receive an interview offer if you best meet the essential minimum criteria for this position.
Overview Azure Cloud Developer Contract 3 months + Role type: Contract Location: UK, London, Remote Preferred start date: ASAP LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a WPP Company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues. Led by our founder (who is also WPP's Chief AI Officer), Satalia's ambition is to become a decentralised organisation of the future. Today this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer true flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. The Role We are investing massively in developing next generation generative AI tools, including workstreams covering text, image, video, audio, and research. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners. We are seeking a highly skilled AzureCloud Developer to create and maintain the cloud serverless infrastructure for our Typescript and Python-based web APIs. Our solutions will not be tied to a specific cloud platform, so the ideal candidate should have a strong understanding of cloud architecture with either Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial-grade APIs using Python Docker images, Typescript/Python serverless functions and various cloud resources such as Kubernetes, storage buckets, pipelines and state stores. All infrastructure and deployment must be fully automated using Terraform. You will be joining a product team in developing these zero to one innovations over a multi-year roadmap. You will be working with the latest technologies across our technology stack, including optimising AI workloads that scale to meet client needs. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. Your Responsibilities Developing complex cloud-native serverless applications Writing and maintaining serverless functions in Typescript and Python Utilising Serverless technology including API management, Serverless functions, Event driven architectures, Serverless databases and document stores Implementing a range of integration patterns, from modern SaaS APIs using GraphQL to traditional FTP based integrations. Applying DevOps principles to empower teams to manage infrastructure directly using Git Utilising Terraform for provisioning and managing cloud resources. Leveraging Design Patterns and reference architectures to design scalable and efficient cloud infrastructure. Having a strong, test driven, quality first mindset to your work Communicate effectively with excellent written and verbal skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture. Designing solutions observing cross-cutting concerns such as observability and system security Taking ownership of deployments in a true devops model Minimum Qualifications / Skills Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). Strong experience in creating and deploying cloud infrastructure using AWS, GCP or Azure. Understanding of Python and Docker for developing web APIs. Familiarity with serverless technologies covering serverless functions, queues, file storage, API management and key value stores. Experience with integration patterns and working with various APIs. Leveraging Databricks for scalable data processing and analytics, integrating Spark workloads with cloud-native infrastructure and CI/CD pipelines. Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as Monorepos Proficiency in Infrastructure-as-Code languages such as Terraform and CloudFormation. Understanding of design patterns for building scalable and efficient systems. A quality-driven, test first mindset. Excellent written and verbal communication skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture is a plus. Understanding of modern authentication protocols such as OAuth2 and OIDC. Consideration of cross-cutting concerns like observability and security in infrastructure design. Contributions to Open Source projects are a plus. As an equal opportunity employer we welcome applications that reflect the diversity of our wider community. Please let us know at any time if you require reasonable adjustments to your interview process and feel free to let us know the pronouns you use. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our recruitment privacy policy. In addition, please note that background checks are included as part of our on-boarding process. Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you. We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. Good luck!
07/05/2026
Full time
Overview Azure Cloud Developer Contract 3 months + Role type: Contract Location: UK, London, Remote Preferred start date: ASAP LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a WPP Company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues. Led by our founder (who is also WPP's Chief AI Officer), Satalia's ambition is to become a decentralised organisation of the future. Today this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer true flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. The Role We are investing massively in developing next generation generative AI tools, including workstreams covering text, image, video, audio, and research. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners. We are seeking a highly skilled AzureCloud Developer to create and maintain the cloud serverless infrastructure for our Typescript and Python-based web APIs. Our solutions will not be tied to a specific cloud platform, so the ideal candidate should have a strong understanding of cloud architecture with either Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial-grade APIs using Python Docker images, Typescript/Python serverless functions and various cloud resources such as Kubernetes, storage buckets, pipelines and state stores. All infrastructure and deployment must be fully automated using Terraform. You will be joining a product team in developing these zero to one innovations over a multi-year roadmap. You will be working with the latest technologies across our technology stack, including optimising AI workloads that scale to meet client needs. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. Your Responsibilities Developing complex cloud-native serverless applications Writing and maintaining serverless functions in Typescript and Python Utilising Serverless technology including API management, Serverless functions, Event driven architectures, Serverless databases and document stores Implementing a range of integration patterns, from modern SaaS APIs using GraphQL to traditional FTP based integrations. Applying DevOps principles to empower teams to manage infrastructure directly using Git Utilising Terraform for provisioning and managing cloud resources. Leveraging Design Patterns and reference architectures to design scalable and efficient cloud infrastructure. Having a strong, test driven, quality first mindset to your work Communicate effectively with excellent written and verbal skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture. Designing solutions observing cross-cutting concerns such as observability and system security Taking ownership of deployments in a true devops model Minimum Qualifications / Skills Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). Strong experience in creating and deploying cloud infrastructure using AWS, GCP or Azure. Understanding of Python and Docker for developing web APIs. Familiarity with serverless technologies covering serverless functions, queues, file storage, API management and key value stores. Experience with integration patterns and working with various APIs. Leveraging Databricks for scalable data processing and analytics, integrating Spark workloads with cloud-native infrastructure and CI/CD pipelines. Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as Monorepos Proficiency in Infrastructure-as-Code languages such as Terraform and CloudFormation. Understanding of design patterns for building scalable and efficient systems. A quality-driven, test first mindset. Excellent written and verbal communication skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture is a plus. Understanding of modern authentication protocols such as OAuth2 and OIDC. Consideration of cross-cutting concerns like observability and security in infrastructure design. Contributions to Open Source projects are a plus. As an equal opportunity employer we welcome applications that reflect the diversity of our wider community. Please let us know at any time if you require reasonable adjustments to your interview process and feel free to let us know the pronouns you use. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our recruitment privacy policy. In addition, please note that background checks are included as part of our on-boarding process. Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you. We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. Good luck!
This role will primarily focus on providing technical capability to the ICT Consultancy business on their technology and related IT requirements with a focus on AI to execute client proposals and projects. There may be direct support to key client projects as required. The primary focus is on how AI will help the ICT Consultancy business to enhance automation, delivery velocity, reliability, and operational maturity. The role blends technical delivery and AI-driven engineering, ensuring that CTS implementation projects are delivered consistently while developing and maintaining intelligent automation frameworks and architectures that support operational and cross-functional technology teams. Exciting UK based opportunity, collaborating with our team in London and Reigate, UK. Ideally based in the UK commutable to those two locations but remote working is acceptable from specific locations in Europe where our business unit has a significant presence (eg Cambridge UK, Cologne Germany, Prague Czech Republic and Milan Italy). The Role The responsibilities will include: Help to design, build, and maintain AI-augmented DevOps pipelines, integrating LLM-powered tooling, automated testing, code generation, observability, and environment provisioning. Develop automation for operational workflows (permissions, tagging, remediation tasks, infrastructure housekeeping, monitoring pipelines) Help to build foundational components that allow delivery teams to benefit from AI-assisted operations, such as intelligent event triage, automated runbooks, and anomaly detection. Assist with the adoption of modern DevOps practices: GitOps, IaC (Terraform), CI/CD pipelines (Azure DevOps/GitHub Actions), and container/cloud-native architectures. Implement as necessary any and all of the security processes required for operational suitability within WTW for solutions (including SAST and DAST processes) Ensure operational stability, observability, and controlled evolution of AI and agentic systems for the ICT Consultancy business Maintain & support AI tools and AI based systems once deployed and help with onboarding & offboarding Ensure data generation and monitoring (production grade telemetry, traceability, evaluation, regression control ) of AI solutions allowing for AI system performance optimization over time Develop and implement scalable and reliable build processes for AI solutions Identify and feedback inefficiencies in AI solutions and ensure suitable prioritisation to drive continuous optimisation Work with the ICT consultancy practice to ensure that they understand best practices for secure application development life cycle Provide clear communication of, outstanding deliverables, and any noted risks to senior stakeholders Ensure compliance with WTW standards and policies from Information Cyber Security for any AI solution Produce detailed, high-quality documentation of all delivered work. What you'll bring Technical Skills Strong demonstratable experience across cloud technologies - Azure preferred including Microsoft AI Foundry and Copilot Studio. Extensive knowledge of DevOps engineering, including CI/CD, infrastructure-as-code, pipeline automation, and cloud-native deployment models. Hands-on experience with AI integration into DevOps workflows (eg, LLMs, automation agents, API orchestration, AI-enhanced monitoring). Strong proficiency in Scripting and automation (Python, PowerShell, YAML pipelines). Understanding of observability tooling (App Insights, Log Analytics, Prometheus/Grafana, DataDog, or equivalents). Implementation & Delivery Skills Demonstratable ability to lead complex technology implementations. Capability in project planning, release management, change control, and structured delivery. Proven ability to translate operational needs into engineering solutions and vice versa. Leadership & Communication Excellent communicator across technical and non-technical audiences. Capability at multi-level stakeholder management, and expectation setting. Experience working in a team with a diverse set of skills & multiple stakeholders. Proficient in producing stakeholder reporting and documentation. It would be preferable that the candidate would also have the following experience: Multi-industry background. Experience of working in or with consultancy led businesses. Solid experience with DevOps/SRE/ML Ops & AI tooling. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
06/05/2026
Full time
This role will primarily focus on providing technical capability to the ICT Consultancy business on their technology and related IT requirements with a focus on AI to execute client proposals and projects. There may be direct support to key client projects as required. The primary focus is on how AI will help the ICT Consultancy business to enhance automation, delivery velocity, reliability, and operational maturity. The role blends technical delivery and AI-driven engineering, ensuring that CTS implementation projects are delivered consistently while developing and maintaining intelligent automation frameworks and architectures that support operational and cross-functional technology teams. Exciting UK based opportunity, collaborating with our team in London and Reigate, UK. Ideally based in the UK commutable to those two locations but remote working is acceptable from specific locations in Europe where our business unit has a significant presence (eg Cambridge UK, Cologne Germany, Prague Czech Republic and Milan Italy). The Role The responsibilities will include: Help to design, build, and maintain AI-augmented DevOps pipelines, integrating LLM-powered tooling, automated testing, code generation, observability, and environment provisioning. Develop automation for operational workflows (permissions, tagging, remediation tasks, infrastructure housekeeping, monitoring pipelines) Help to build foundational components that allow delivery teams to benefit from AI-assisted operations, such as intelligent event triage, automated runbooks, and anomaly detection. Assist with the adoption of modern DevOps practices: GitOps, IaC (Terraform), CI/CD pipelines (Azure DevOps/GitHub Actions), and container/cloud-native architectures. Implement as necessary any and all of the security processes required for operational suitability within WTW for solutions (including SAST and DAST processes) Ensure operational stability, observability, and controlled evolution of AI and agentic systems for the ICT Consultancy business Maintain & support AI tools and AI based systems once deployed and help with onboarding & offboarding Ensure data generation and monitoring (production grade telemetry, traceability, evaluation, regression control ) of AI solutions allowing for AI system performance optimization over time Develop and implement scalable and reliable build processes for AI solutions Identify and feedback inefficiencies in AI solutions and ensure suitable prioritisation to drive continuous optimisation Work with the ICT consultancy practice to ensure that they understand best practices for secure application development life cycle Provide clear communication of, outstanding deliverables, and any noted risks to senior stakeholders Ensure compliance with WTW standards and policies from Information Cyber Security for any AI solution Produce detailed, high-quality documentation of all delivered work. What you'll bring Technical Skills Strong demonstratable experience across cloud technologies - Azure preferred including Microsoft AI Foundry and Copilot Studio. Extensive knowledge of DevOps engineering, including CI/CD, infrastructure-as-code, pipeline automation, and cloud-native deployment models. Hands-on experience with AI integration into DevOps workflows (eg, LLMs, automation agents, API orchestration, AI-enhanced monitoring). Strong proficiency in Scripting and automation (Python, PowerShell, YAML pipelines). Understanding of observability tooling (App Insights, Log Analytics, Prometheus/Grafana, DataDog, or equivalents). Implementation & Delivery Skills Demonstratable ability to lead complex technology implementations. Capability in project planning, release management, change control, and structured delivery. Proven ability to translate operational needs into engineering solutions and vice versa. Leadership & Communication Excellent communicator across technical and non-technical audiences. Capability at multi-level stakeholder management, and expectation setting. Experience working in a team with a diverse set of skills & multiple stakeholders. Proficient in producing stakeholder reporting and documentation. It would be preferable that the candidate would also have the following experience: Multi-industry background. Experience of working in or with consultancy led businesses. Solid experience with DevOps/SRE/ML Ops & AI tooling. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Responsibilities: Works within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies. Translates business requirements into technical designs, considering automation, availability, performance, scale and cost. Ensures technical & security best practices along with Broadridge standards are adhered to in the design of technical infrastructure Participates in technical design sessions and works closely with multiple teams, including application development teams, infrastructure teams, vendors, and clients, if needed, to review the infrastructure designs for new projects. Delivers high quality technical infrastructure, on-time, following Broadridge processes. Automates the implementation and operational support of the infrastructure. Provides estimates of all priority and non-priority projects along with recommended scope or schedule changes based on capacity and unforeseen challenges. Participates in technical implementation to ensure the quality of the infrastructure, automation and the overall productivity of the SRE (Service Reliability Engineering) team. Tracks Service Level Indicators (SLI) to ensure the health of technical infrastructure and Broadridge services. Troubleshoots production issues affecting Broadridge services as needed, taking appropriate corrective actions. Conducts preventative maintenance to ensure capacity, scaling, security and availability of Broadridge services. Understands dependencies between infrastructure components, vendor software, custom software and other parts of the processing stack that support Broadridge Services Collaborates with peers and other technical teams, such as development teams, architecture, database teams, storage teams, server teams, security teams to prevent and shorten production incidents. Defines Service Level Objectives (SLOs) for Broadridge Services Implements additional operational improvements for automation, monitoring and incident management to increase the reliability of Broadridge services. Guides more junior associates through established processes. Requirements 5-7+ years of experience with commercial service infrastructure at both a software and infrastructure level Functional skills - System Design and Architecture, DevOps / Deployment automation, Troubleshooting, Service Monitoring. Passionate teammate who understands and respects personal & cultural differences Ability to work under pressure and be highly adaptable Strong written and communications skills for collaboration with various teams and upper management Solid analytical skills, especially in area of translating business requirements into technical design - with a continuous focus on aligning technical roadmap with the immediate and long-term Business strategy Able to adapt and embrace change and support business strategy and vision. Knowledge of next-generation design patterns/architecture like micro-services, layered pattern, cloud. Strong aptitude for learning new skills and new technologies. Preferred Qualifications: Bachelor's degree in computer science, computer engineering, or in a related field. 5-7+ years of experience within a programming and application system environment, with solid experience and a working knowledge in the following technologies: + OS: Linux, Windows + Automation: Terraform, Bladelogic, Chef, Jenkins, Ansible + Cloud: AWS, Azure + Scripting: Powershell, Perl, Shell Scripts Hybrid Flexible at Broadridge We are made up of high-performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be assigned to a Broadridge office. are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.We are seeking a Sr. Site Reliability Engineer to design, build, automate, and support reliable technical infrastructure that powers Broadridge services. In this role, you'll translate business requirements into technical designs that balance availability, performance, scale, and cost , while applying security and technical best practices and partnering across multiple teams.
06/05/2026
Full time
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Responsibilities: Works within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies. Translates business requirements into technical designs, considering automation, availability, performance, scale and cost. Ensures technical & security best practices along with Broadridge standards are adhered to in the design of technical infrastructure Participates in technical design sessions and works closely with multiple teams, including application development teams, infrastructure teams, vendors, and clients, if needed, to review the infrastructure designs for new projects. Delivers high quality technical infrastructure, on-time, following Broadridge processes. Automates the implementation and operational support of the infrastructure. Provides estimates of all priority and non-priority projects along with recommended scope or schedule changes based on capacity and unforeseen challenges. Participates in technical implementation to ensure the quality of the infrastructure, automation and the overall productivity of the SRE (Service Reliability Engineering) team. Tracks Service Level Indicators (SLI) to ensure the health of technical infrastructure and Broadridge services. Troubleshoots production issues affecting Broadridge services as needed, taking appropriate corrective actions. Conducts preventative maintenance to ensure capacity, scaling, security and availability of Broadridge services. Understands dependencies between infrastructure components, vendor software, custom software and other parts of the processing stack that support Broadridge Services Collaborates with peers and other technical teams, such as development teams, architecture, database teams, storage teams, server teams, security teams to prevent and shorten production incidents. Defines Service Level Objectives (SLOs) for Broadridge Services Implements additional operational improvements for automation, monitoring and incident management to increase the reliability of Broadridge services. Guides more junior associates through established processes. Requirements 5-7+ years of experience with commercial service infrastructure at both a software and infrastructure level Functional skills - System Design and Architecture, DevOps / Deployment automation, Troubleshooting, Service Monitoring. Passionate teammate who understands and respects personal & cultural differences Ability to work under pressure and be highly adaptable Strong written and communications skills for collaboration with various teams and upper management Solid analytical skills, especially in area of translating business requirements into technical design - with a continuous focus on aligning technical roadmap with the immediate and long-term Business strategy Able to adapt and embrace change and support business strategy and vision. Knowledge of next-generation design patterns/architecture like micro-services, layered pattern, cloud. Strong aptitude for learning new skills and new technologies. Preferred Qualifications: Bachelor's degree in computer science, computer engineering, or in a related field. 5-7+ years of experience within a programming and application system environment, with solid experience and a working knowledge in the following technologies: + OS: Linux, Windows + Automation: Terraform, Bladelogic, Chef, Jenkins, Ansible + Cloud: AWS, Azure + Scripting: Powershell, Perl, Shell Scripts Hybrid Flexible at Broadridge We are made up of high-performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be assigned to a Broadridge office. are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.We are seeking a Sr. Site Reliability Engineer to design, build, automate, and support reliable technical infrastructure that powers Broadridge services. In this role, you'll translate business requirements into technical designs that balance availability, performance, scale, and cost , while applying security and technical best practices and partnering across multiple teams.
About Fluidstack At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world's biggest AI Labs at industry-defining speeds. Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here. There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them. About the Role SREs at Fluidstack sit at the core of our infrastructure, working across software, hardware, and operations to ensure the reliability and performance of our global GPU cloud. They partner closely with teams including networking, platform engineering, and data center operations to build systems that scale with the demands of AI workloads. SREs are hands-on and possess deep systems knowledge and strong communication skills. You'll be responsible for tackling complex production issues, deploying resilient infrastructure, and continuously improving the stability and observability of our platform as we grow. A typical day may involve: Deploying clusters of 1,000+ GPUs using custom written playbooks; modifying these tools as necessary to provide the perfect solution for a customer. Validating correctness and performance of underlying compute, storage, and networking infrastructure, and working with providers to optimize these subsystems. Migrating petabytes of data from public cloud platforms to local storage, as quickly and cost effectively as possible. Debugging issues anywhere in the stack, from "this server's fan is blocked by a plastic bag" to "optimizing S3 dataloaders from buckets in different regions". Building internal tooling to decrease deployment time and increase cluster reliability, including automation where the customer benefits clearly outweigh the implementation overhead. This role will involve being part of an on-call rotation up to one week per month. Focus A customer-centric attitude, an accountability mindset, and a bias to action. A track record of shipping clean, well-documented code in complex environments. An ability to create structure from chaos, navigate ambiguity, and adapt to the dynamic nature of the AI ecosystem. Strong technical and interpersonal communication skills, a low ego, and a positive mental attitude. Minimum Requirements 5+ years of SRE, DevOps, Sysadmin, and/or HPC engineering experience. Great verbal and written communication skills in English. Experience deploying and operating Kubernetes and/or SLURM clusters. Experience in writing Go, Python, Bash. Experience using Ansible, Terraform, and other automation or IAC tools. Strong engineering background, preferably in Computer Science, Software Engineering, Math, Computer Engineering, or similar fields. Nice To Haves You have built and operated an AI workload at 1000+ GPU scale. You have built multi-tenant, hyperscale Kubernetes based services. You have physically deployed infrastructure in a datacenter, managed bare metal hardware via MaaS or Netbox, etc. You have deployed and managed multi-tenant InfiniBand or RoCE networks. You have deployed and managed petabyte scale all-flash storage systems, including DDN, VAST, and/or Weka; or Ceph, LUSTRE, or similar open source tools. Salary & Benefits Competitive total compensation package (salary + equity). Retirement or pension plan, in line with local norms. Health, dental, and vision insurance. Generous PTO policy, in line with local norms. The base salary range for this position is $175,000 - $320,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options. We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
06/05/2026
Full time
About Fluidstack At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world's biggest AI Labs at industry-defining speeds. Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here. There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them. About the Role SREs at Fluidstack sit at the core of our infrastructure, working across software, hardware, and operations to ensure the reliability and performance of our global GPU cloud. They partner closely with teams including networking, platform engineering, and data center operations to build systems that scale with the demands of AI workloads. SREs are hands-on and possess deep systems knowledge and strong communication skills. You'll be responsible for tackling complex production issues, deploying resilient infrastructure, and continuously improving the stability and observability of our platform as we grow. A typical day may involve: Deploying clusters of 1,000+ GPUs using custom written playbooks; modifying these tools as necessary to provide the perfect solution for a customer. Validating correctness and performance of underlying compute, storage, and networking infrastructure, and working with providers to optimize these subsystems. Migrating petabytes of data from public cloud platforms to local storage, as quickly and cost effectively as possible. Debugging issues anywhere in the stack, from "this server's fan is blocked by a plastic bag" to "optimizing S3 dataloaders from buckets in different regions". Building internal tooling to decrease deployment time and increase cluster reliability, including automation where the customer benefits clearly outweigh the implementation overhead. This role will involve being part of an on-call rotation up to one week per month. Focus A customer-centric attitude, an accountability mindset, and a bias to action. A track record of shipping clean, well-documented code in complex environments. An ability to create structure from chaos, navigate ambiguity, and adapt to the dynamic nature of the AI ecosystem. Strong technical and interpersonal communication skills, a low ego, and a positive mental attitude. Minimum Requirements 5+ years of SRE, DevOps, Sysadmin, and/or HPC engineering experience. Great verbal and written communication skills in English. Experience deploying and operating Kubernetes and/or SLURM clusters. Experience in writing Go, Python, Bash. Experience using Ansible, Terraform, and other automation or IAC tools. Strong engineering background, preferably in Computer Science, Software Engineering, Math, Computer Engineering, or similar fields. Nice To Haves You have built and operated an AI workload at 1000+ GPU scale. You have built multi-tenant, hyperscale Kubernetes based services. You have physically deployed infrastructure in a datacenter, managed bare metal hardware via MaaS or Netbox, etc. You have deployed and managed multi-tenant InfiniBand or RoCE networks. You have deployed and managed petabyte scale all-flash storage systems, including DDN, VAST, and/or Weka; or Ceph, LUSTRE, or similar open source tools. Salary & Benefits Competitive total compensation package (salary + equity). Retirement or pension plan, in line with local norms. Health, dental, and vision insurance. Generous PTO policy, in line with local norms. The base salary range for this position is $175,000 - $320,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options. We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
About Us Artificial intelligence scaled on a bet - that bigger models, more identical chips, and more data would keep delivering. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. The next era belongs to heterogeneous intelligence: diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability unreachable by any single model or accelerator. Callosum is the Intelligent Systems company. We built the infrastructure to make that possible. Our co-evolution engine optimises simultaneously across workflows, agents, and silicon. We launched in early 2026 showing orders of magnitude improvements in performance and a shift in the cost-performance frontier that no single chip or model provider can provide. We believe intelligence comes from the system, not the model. We are scientists and engineers solving what others consider impossible. If you thrive on hard problems, and are passionate and energised by the scale of the challenge, we would love to hear from you. About the Role As a Staff Platform Engineer, you will design and build the infrastructure that makes our heterogeneous intelligence API scalable and efficient in production at high throughput and rapidly growing scale. This spans the full platform stack: API design and reliability, Kubernetes-based deployment, observability, and cloud infrastructure. The role sits at the intersection of platform engineering, backend infrastructure, and DevOps. As the ideal candidate, you combine deep expertise in backend system design and cloud-native infrastructure, and is comfortable owning hard problems in a fast-paced and highly collaborative environment. You will be working closely with the hardware and orchestration teams. The role has strong growth potential toward technical leadership in platform architecture as we expand our heterogeneous compute infrastructure. Responsibilities Design and build a scalable, robust API platform capable of handling rapidly growing and diverse workloads across heterogeneous compute infrastructure Own Kubernetes-based deployment, and reliability for API services in production Own platform observability - metrics, tracing, and alerting across the full platform Manage cloud infrastructure (AWS) and deployment pipelines Work closely with the hardware team to maintain and expose hardware deployment capabilities through the API layer Qualifications Strong experience designing and operating high-throughput APIs (REST or gRPC) with high performance requirements Strong hands-on experience with Kubernetes in production - deployment, autoscaling, failure recovery, networking; comfortable owning a cluster, not just deploying to one Solid cloud infrastructure fluency (AWS preferred) and hands-on experience with infrastructure as code Solid understanding of observability tooling Nice to Have Experience with developer tooling Experience as a user or builder of AI-native developer products What We Offer Competitive Salary: £101,000 - £192,000, determined by skills and experience Equity & Ownership Private healthcare We offer Visa sponsorship and relocation benefits to hire the best in the world We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.
04/05/2026
Full time
About Us Artificial intelligence scaled on a bet - that bigger models, more identical chips, and more data would keep delivering. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. The next era belongs to heterogeneous intelligence: diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability unreachable by any single model or accelerator. Callosum is the Intelligent Systems company. We built the infrastructure to make that possible. Our co-evolution engine optimises simultaneously across workflows, agents, and silicon. We launched in early 2026 showing orders of magnitude improvements in performance and a shift in the cost-performance frontier that no single chip or model provider can provide. We believe intelligence comes from the system, not the model. We are scientists and engineers solving what others consider impossible. If you thrive on hard problems, and are passionate and energised by the scale of the challenge, we would love to hear from you. About the Role As a Staff Platform Engineer, you will design and build the infrastructure that makes our heterogeneous intelligence API scalable and efficient in production at high throughput and rapidly growing scale. This spans the full platform stack: API design and reliability, Kubernetes-based deployment, observability, and cloud infrastructure. The role sits at the intersection of platform engineering, backend infrastructure, and DevOps. As the ideal candidate, you combine deep expertise in backend system design and cloud-native infrastructure, and is comfortable owning hard problems in a fast-paced and highly collaborative environment. You will be working closely with the hardware and orchestration teams. The role has strong growth potential toward technical leadership in platform architecture as we expand our heterogeneous compute infrastructure. Responsibilities Design and build a scalable, robust API platform capable of handling rapidly growing and diverse workloads across heterogeneous compute infrastructure Own Kubernetes-based deployment, and reliability for API services in production Own platform observability - metrics, tracing, and alerting across the full platform Manage cloud infrastructure (AWS) and deployment pipelines Work closely with the hardware team to maintain and expose hardware deployment capabilities through the API layer Qualifications Strong experience designing and operating high-throughput APIs (REST or gRPC) with high performance requirements Strong hands-on experience with Kubernetes in production - deployment, autoscaling, failure recovery, networking; comfortable owning a cluster, not just deploying to one Solid cloud infrastructure fluency (AWS preferred) and hands-on experience with infrastructure as code Solid understanding of observability tooling Nice to Have Experience with developer tooling Experience as a user or builder of AI-native developer products What We Offer Competitive Salary: £101,000 - £192,000, determined by skills and experience Equity & Ownership Private healthcare We offer Visa sponsorship and relocation benefits to hire the best in the world We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.
We're building something smart - and we're moving fast. Ready to join us? We're not just another consulting company - we're a high-velocity team crafting an AI-driven platform that's reshaping how businesses operate. Built natively on Azure and powered by the latest in Microsoft tech, our solution helps companies deploy intelligent agents, automate workflows, and accelerate innovation at scale. As demand surges for our product, we are currently hiring for a Senior Python Developer with Azure experience and a footing with AI who's ready to move at our speed. If you're passionate about AI, thrive in agile, fast-paced environments, and love turning bold ideas into real-world solutions, this is your moment. You'll join the core team building - a next-generation AI platform that's already helping businesses create and manage powerful automation through models, agents, and reusable templates. Ready to build the future with us? The Role at a Glance: AI / Azure / Python Developer UK Remote Up to £90,000 Benefits include flexible remote work and an environment that values speed, quality, and autonomy. Product / Service: We are an accurate, private & efficient multipurpose automation tool for workflow and documentation. Culture: No red tape, no endless meetings - just real business impact for clients. Work with smart people who care about what they build and providing solutions for customers. Pedigree: Seasoned Founding Team. Our leadership team has spent decades in technology delivery, working through the mega trends of Internet, Public Cloud and now AI. Your Skills: Experience with Azure's native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing. Who we are: We're redefining how businesses harness the power of artificial intelligence. Our cutting-edge platform helps companies quickly and cost-effectively implement AI strategies that drive real results - from automating workflows to deploying intelligent agents and managing complex AI models at scale. We're not just building tools - we're building the foundation for smarter, faster, and more adaptable enterprises. Key Responsibilities: • Build and deploy AI-first features using Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS • Design and implement scalable architecture with cloud-native tools alongside a collaborative, fast-moving team • Code primarily in Python and C# - with bonus points if you can jump into React.js when needed • Speed up development using Visual Studio Code with GitHub Copilot (or your preferred AI coding assistant) • Work in a tight feedback loop: branch, commit, pull, test, and ship - all through Azure DevOps • Write clean, tested, production-ready code - unit testing is second nature, not an afterthought • Participate in focused sprints and daily standups - we work lean, iterate fast, and learn as we go What You'll Bring to the Team: • Proven experience with Azure's native AI stack, including AI Foundry, Azure Search, Cosmos DB, and AKS • Strong programming skills in Python and C#, with a focus on writing clean, maintainable, and well-structured code • Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions • Solid understanding of Docker, Kubernetes, and modern cloud-native architectural patterns • Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests, and test automation using Azure DevOps • An agile, curious mindset - adaptable, collaborative, and eager to explore new ideas and technologies Bonus Points For: • Experience building user interfaces with React.js • A passion for experimenting with emerging AI tools and frameworks Sounds like a good fit? Apply here for a fast-track path to our Leadership Team. Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
04/10/2025
Full time
We're building something smart - and we're moving fast. Ready to join us? We're not just another consulting company - we're a high-velocity team crafting an AI-driven platform that's reshaping how businesses operate. Built natively on Azure and powered by the latest in Microsoft tech, our solution helps companies deploy intelligent agents, automate workflows, and accelerate innovation at scale. As demand surges for our product, we are currently hiring for a Senior Python Developer with Azure experience and a footing with AI who's ready to move at our speed. If you're passionate about AI, thrive in agile, fast-paced environments, and love turning bold ideas into real-world solutions, this is your moment. You'll join the core team building - a next-generation AI platform that's already helping businesses create and manage powerful automation through models, agents, and reusable templates. Ready to build the future with us? The Role at a Glance: AI / Azure / Python Developer UK Remote Up to £90,000 Benefits include flexible remote work and an environment that values speed, quality, and autonomy. Product / Service: We are an accurate, private & efficient multipurpose automation tool for workflow and documentation. Culture: No red tape, no endless meetings - just real business impact for clients. Work with smart people who care about what they build and providing solutions for customers. Pedigree: Seasoned Founding Team. Our leadership team has spent decades in technology delivery, working through the mega trends of Internet, Public Cloud and now AI. Your Skills: Experience with Azure's native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing. Who we are: We're redefining how businesses harness the power of artificial intelligence. Our cutting-edge platform helps companies quickly and cost-effectively implement AI strategies that drive real results - from automating workflows to deploying intelligent agents and managing complex AI models at scale. We're not just building tools - we're building the foundation for smarter, faster, and more adaptable enterprises. Key Responsibilities: • Build and deploy AI-first features using Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS • Design and implement scalable architecture with cloud-native tools alongside a collaborative, fast-moving team • Code primarily in Python and C# - with bonus points if you can jump into React.js when needed • Speed up development using Visual Studio Code with GitHub Copilot (or your preferred AI coding assistant) • Work in a tight feedback loop: branch, commit, pull, test, and ship - all through Azure DevOps • Write clean, tested, production-ready code - unit testing is second nature, not an afterthought • Participate in focused sprints and daily standups - we work lean, iterate fast, and learn as we go What You'll Bring to the Team: • Proven experience with Azure's native AI stack, including AI Foundry, Azure Search, Cosmos DB, and AKS • Strong programming skills in Python and C#, with a focus on writing clean, maintainable, and well-structured code • Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions • Solid understanding of Docker, Kubernetes, and modern cloud-native architectural patterns • Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests, and test automation using Azure DevOps • An agile, curious mindset - adaptable, collaborative, and eager to explore new ideas and technologies Bonus Points For: • Experience building user interfaces with React.js • A passion for experimenting with emerging AI tools and frameworks Sounds like a good fit? Apply here for a fast-track path to our Leadership Team. Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
We re building something smart - and we re moving fast. Ready to join us? At Neologik.ai , we're not just another consulting company - we re a high-velocity team crafting an AI-driven platform that s reshaping how businesses operate. Built natively on Azure and powered by the latest in Microsoft tech, our solution helps companies deploy intelligent agents, automate workflows, and accelerate innovation at scale. As demand surges for our product, we are currently hiring for a Senior Python Developer with Azure experience and a footing with AI who s ready to move at our speed. If you're passionate about AI, thrive in agile, fast-paced environments, and love turning bold ideas into real-world solutions, this is your moment. You ll join the core team building Neologik - a next-generation AI platform that s already helping businesses create and manage powerful automation through models, agents, and reusable templates. Ready to build the future with us? The Role at a Glance: AI / Azure / Python Developer UK Remote Up to £90,000 Benefits include flexible remote work and an environment that values speed, quality, and autonomy. Product / Service: Neologik is an accurate, private & efficient multipurpose automation tool for workflow and documentation. Culture: No red tape, no endless meetings - just real business impact for clients. Work with smart people who care about what they build and providing solutions for customers. Pedigree: Seasoned Founding Team. Our leadership team has spent decades in technology delivery, working through the mega trends of Internet, Public Cloud and now AI. Your Skills: Experience with Azure s native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing. Who we are: At Neologik, we re redefining how businesses harness the power of artificial intelligence. Our cutting-edge platform helps companies quickly and cost-effectively implement AI strategies that drive real results - from automating workflows to deploying intelligent agents and managing complex AI models at scale. We re not just building tools - we re building the foundation for smarter, faster, and more adaptable enterprises. Key Responsibilities: • Build and deploy AI-first features using Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS • Design and implement scalable architecture with cloud-native tools alongside a collaborative, fast-moving team • Code primarily in Python and C# - with bonus points if you can jump into React.js when needed • Speed up development using Visual Studio Code with GitHub Copilot (or your preferred AI coding assistant) • Work in a tight feedback loop: branch, commit, pull, test, and ship - all through Azure DevOps • Write clean, tested, production-ready code - unit testing is second nature, not an afterthought • Participate in focused sprints and daily standups - we work lean, iterate fast, and learn as we go What You ll Bring to the Team: • Proven experience with Azure s native AI stack, including AI Foundry, Azure Search, Cosmos DB, and AKS • Strong programming skills in Python and C#, with a focus on writing clean, maintainable, and well-structured code • Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions • Solid understanding of Docker, Kubernetes, and modern cloud-native architectural patterns • Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests, and test automation using Azure DevOps • An agile, curious mindset - adaptable, collaborative, and eager to explore new ideas and technologies Bonus Points For: • Experience building user interfaces with React.js • A passion for experimenting with emerging AI tools and frameworks Sounds like a good fit? Apply here for a fast-track path to our Leadership Team. Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
01/10/2025
Full time
We re building something smart - and we re moving fast. Ready to join us? At Neologik.ai , we're not just another consulting company - we re a high-velocity team crafting an AI-driven platform that s reshaping how businesses operate. Built natively on Azure and powered by the latest in Microsoft tech, our solution helps companies deploy intelligent agents, automate workflows, and accelerate innovation at scale. As demand surges for our product, we are currently hiring for a Senior Python Developer with Azure experience and a footing with AI who s ready to move at our speed. If you're passionate about AI, thrive in agile, fast-paced environments, and love turning bold ideas into real-world solutions, this is your moment. You ll join the core team building Neologik - a next-generation AI platform that s already helping businesses create and manage powerful automation through models, agents, and reusable templates. Ready to build the future with us? The Role at a Glance: AI / Azure / Python Developer UK Remote Up to £90,000 Benefits include flexible remote work and an environment that values speed, quality, and autonomy. Product / Service: Neologik is an accurate, private & efficient multipurpose automation tool for workflow and documentation. Culture: No red tape, no endless meetings - just real business impact for clients. Work with smart people who care about what they build and providing solutions for customers. Pedigree: Seasoned Founding Team. Our leadership team has spent decades in technology delivery, working through the mega trends of Internet, Public Cloud and now AI. Your Skills: Experience with Azure s native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing. Who we are: At Neologik, we re redefining how businesses harness the power of artificial intelligence. Our cutting-edge platform helps companies quickly and cost-effectively implement AI strategies that drive real results - from automating workflows to deploying intelligent agents and managing complex AI models at scale. We re not just building tools - we re building the foundation for smarter, faster, and more adaptable enterprises. Key Responsibilities: • Build and deploy AI-first features using Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS • Design and implement scalable architecture with cloud-native tools alongside a collaborative, fast-moving team • Code primarily in Python and C# - with bonus points if you can jump into React.js when needed • Speed up development using Visual Studio Code with GitHub Copilot (or your preferred AI coding assistant) • Work in a tight feedback loop: branch, commit, pull, test, and ship - all through Azure DevOps • Write clean, tested, production-ready code - unit testing is second nature, not an afterthought • Participate in focused sprints and daily standups - we work lean, iterate fast, and learn as we go What You ll Bring to the Team: • Proven experience with Azure s native AI stack, including AI Foundry, Azure Search, Cosmos DB, and AKS • Strong programming skills in Python and C#, with a focus on writing clean, maintainable, and well-structured code • Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions • Solid understanding of Docker, Kubernetes, and modern cloud-native architectural patterns • Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests, and test automation using Azure DevOps • An agile, curious mindset - adaptable, collaborative, and eager to explore new ideas and technologies Bonus Points For: • Experience building user interfaces with React.js • A passion for experimenting with emerging AI tools and frameworks Sounds like a good fit? Apply here for a fast-track path to our Leadership Team. Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
We're building something smart - and we're moving fast. Ready to join us? At Neologik. ai , we're not just another consulting company - we're a high-velocity team crafting an AI-driven platform that's reshaping how businesses operate. Built natively on Azure and powered by the latest in Microsoft tech, our solution helps companies deploy intelligent agents, automate workflows, and accelerate innovation at scale. As demand surges for our product, we are currently hiring for a Senior Python Developer with Azure experience and a footing with AI who's ready to move at our speed. If you're passionate about AI, thrive in agile, fast-paced environments, and love turning bold ideas into real-world solutions, this is your moment. You'll join the core team building Neologik - a next-generation AI platform that's already helping businesses create and manage powerful automation through models, agents, and reusable templates. Ready to build the future with us? The Role at a Glance: AI / Azure / Python Developer UK Remote Up to £90,000 Benefits include flexible remote work and an environment that values speed, quality, and autonomy. Product / Service: Neologik is an accurate, private & efficient multipurpose automation tool for workflow and documentation. Culture: No red tape, no endless meetings - just real business impact for clients. Work with smart people who care about what they build and providing solutions for customers. Pedigree: Seasoned Founding Team. Our leadership team has spent decades in technology delivery, working through the mega trends of Internet, Public Cloud and now AI. Your Skills: Experience with Azure's native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing. Who we are: At Neologik, we're redefining how businesses harness the power of artificial intelligence. Our cutting-edge platform helps companies quickly and cost-effectively implement AI strategies that drive real results - from automating workflows to deploying intelligent agents and managing complex AI models at scale. We're not just building tools - we're building the foundation for smarter, faster, and more adaptable enterprises. Key Responsibilities: • Build and deploy AI-first features using Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS • Design and implement scalable architecture with cloud-native tools alongside a collaborative, fast-moving team • Code primarily in Python and C# - with bonus points if you can jump into React. js when needed • Speed up development using Visual Studio Code with GitHub Copilot (or your preferred AI coding assistant) • Work in a tight feedback loop: branch, commit, pull, test, and ship - all through Azure DevOps • Write clean, tested, production-ready code - unit testing is second nature, not an afterthought • Participate in focused sprints and daily standups - we work lean, iterate fast, and learn as we go What You'll Bring to the Team: • Proven experience with Azure's native AI stack, including AI Foundry, Azure Search, Cosmos DB, and AKS • Strong programming skills in Python and C#, with a focus on writing clean, maintainable, and well-structured code • Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions • Solid understanding of Docker, Kubernetes, and modern cloud-native architectural patterns • Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests, and test automation using Azure DevOps • An agile, curious mindset - adaptable, collaborative, and eager to explore new ideas and technologies Bonus Points For: • Experience building user interfaces with React .js • A passion for experimenting with emerging AI tools and frameworks Sounds like a good fit? Apply here for a fast-track path to our Leadership Team. Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
01/10/2025
Full time
We're building something smart - and we're moving fast. Ready to join us? At Neologik. ai , we're not just another consulting company - we're a high-velocity team crafting an AI-driven platform that's reshaping how businesses operate. Built natively on Azure and powered by the latest in Microsoft tech, our solution helps companies deploy intelligent agents, automate workflows, and accelerate innovation at scale. As demand surges for our product, we are currently hiring for a Senior Python Developer with Azure experience and a footing with AI who's ready to move at our speed. If you're passionate about AI, thrive in agile, fast-paced environments, and love turning bold ideas into real-world solutions, this is your moment. You'll join the core team building Neologik - a next-generation AI platform that's already helping businesses create and manage powerful automation through models, agents, and reusable templates. Ready to build the future with us? The Role at a Glance: AI / Azure / Python Developer UK Remote Up to £90,000 Benefits include flexible remote work and an environment that values speed, quality, and autonomy. Product / Service: Neologik is an accurate, private & efficient multipurpose automation tool for workflow and documentation. Culture: No red tape, no endless meetings - just real business impact for clients. Work with smart people who care about what they build and providing solutions for customers. Pedigree: Seasoned Founding Team. Our leadership team has spent decades in technology delivery, working through the mega trends of Internet, Public Cloud and now AI. Your Skills: Experience with Azure's native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing. Who we are: At Neologik, we're redefining how businesses harness the power of artificial intelligence. Our cutting-edge platform helps companies quickly and cost-effectively implement AI strategies that drive real results - from automating workflows to deploying intelligent agents and managing complex AI models at scale. We're not just building tools - we're building the foundation for smarter, faster, and more adaptable enterprises. Key Responsibilities: • Build and deploy AI-first features using Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS • Design and implement scalable architecture with cloud-native tools alongside a collaborative, fast-moving team • Code primarily in Python and C# - with bonus points if you can jump into React. js when needed • Speed up development using Visual Studio Code with GitHub Copilot (or your preferred AI coding assistant) • Work in a tight feedback loop: branch, commit, pull, test, and ship - all through Azure DevOps • Write clean, tested, production-ready code - unit testing is second nature, not an afterthought • Participate in focused sprints and daily standups - we work lean, iterate fast, and learn as we go What You'll Bring to the Team: • Proven experience with Azure's native AI stack, including AI Foundry, Azure Search, Cosmos DB, and AKS • Strong programming skills in Python and C#, with a focus on writing clean, maintainable, and well-structured code • Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions • Solid understanding of Docker, Kubernetes, and modern cloud-native architectural patterns • Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests, and test automation using Azure DevOps • An agile, curious mindset - adaptable, collaborative, and eager to explore new ideas and technologies Bonus Points For: • Experience building user interfaces with React .js • A passion for experimenting with emerging AI tools and frameworks Sounds like a good fit? Apply here for a fast-track path to our Leadership Team. Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
