Introduction In just 10 years, Octopus Energy has evolved from a disruptive challenger into the UK's largest energy retailer and a well-loved brand, serving more than 8 million customers. Our rapid expansion has been powered by consistently strong growth across diverse sales channels, the smooth integration of retailer acquisitions, and impressive customer retention. We continue to lead and redefine the energy market through innovative time of use tariffs and data driven commercial strategies that transform how customers engage with energy. We empower customers with dynamic pricing and Intelligent EV charging, rewarding them for shifting consumption to greener, cheaper periods. Role Summary You will lead the GB Commercial Analytics "pod", owning pricing operations, commercial reporting, and growth insight to drive sales, margin, compliance, and customer satisfaction. You will act as a strategic business partner to Commercial, Sales, Marketing and Energy Markets teams, combining hands on technical expertise with strong team leadership. What you'll do Set priorities and guide work & output of a small, high-performance data team. Own end-to-end pricing operations for domestic tariffs, including launches, quarterly price changes, margin reporting and intelligence, and ensuring regulatory / price cap compliance for millions of customers. Drive pricing strategy and optimisation through competitor intelligence, market analysis, and data-driven recommendations to the Senior Leadership Team. Own and evolve commercial reporting pipelines across customer switching, sales activity from all channels, marketing campaigns, retention and competitor insight. Deliver growth and customer insight, including key metric reporting, funnel analysis, customer forecasting, and retention initiatives. Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide forecasting inputs, KPI reporting, margin analysis and strategic support. Contribute to and collaborate with our global working groups to ensure and enable aligned reporting and shared analytics projects. Champion data best practices, integrity and continuous improvement in analytics engineering, tools and processes. What you'll have Proven experience mentoring and developing data professionals. Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics. Hands on expertise with modern data platforms and analytical tools. Strong communication skills to influence non-technical stakeholders and senior leadership. A track record of delivering actionable insights that drive measurable business impact. Our Data Platform Stack Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform / Spacelift Equal Opportunity Employer As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
26/06/2026
Full time
Introduction In just 10 years, Octopus Energy has evolved from a disruptive challenger into the UK's largest energy retailer and a well-loved brand, serving more than 8 million customers. Our rapid expansion has been powered by consistently strong growth across diverse sales channels, the smooth integration of retailer acquisitions, and impressive customer retention. We continue to lead and redefine the energy market through innovative time of use tariffs and data driven commercial strategies that transform how customers engage with energy. We empower customers with dynamic pricing and Intelligent EV charging, rewarding them for shifting consumption to greener, cheaper periods. Role Summary You will lead the GB Commercial Analytics "pod", owning pricing operations, commercial reporting, and growth insight to drive sales, margin, compliance, and customer satisfaction. You will act as a strategic business partner to Commercial, Sales, Marketing and Energy Markets teams, combining hands on technical expertise with strong team leadership. What you'll do Set priorities and guide work & output of a small, high-performance data team. Own end-to-end pricing operations for domestic tariffs, including launches, quarterly price changes, margin reporting and intelligence, and ensuring regulatory / price cap compliance for millions of customers. Drive pricing strategy and optimisation through competitor intelligence, market analysis, and data-driven recommendations to the Senior Leadership Team. Own and evolve commercial reporting pipelines across customer switching, sales activity from all channels, marketing campaigns, retention and competitor insight. Deliver growth and customer insight, including key metric reporting, funnel analysis, customer forecasting, and retention initiatives. Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide forecasting inputs, KPI reporting, margin analysis and strategic support. Contribute to and collaborate with our global working groups to ensure and enable aligned reporting and shared analytics projects. Champion data best practices, integrity and continuous improvement in analytics engineering, tools and processes. What you'll have Proven experience mentoring and developing data professionals. Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics. Hands on expertise with modern data platforms and analytical tools. Strong communication skills to influence non-technical stakeholders and senior leadership. A track record of delivering actionable insights that drive measurable business impact. Our Data Platform Stack Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform / Spacelift Equal Opportunity Employer As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes Coordinate incident management coverage to ensure effective resolution of application issues Collaborate with cross functional teams to perform root cause analysis and implement production changes Develop and support AI/ML solutions for troubleshooting and incident resolution Mentor and guide team members to foster growth and drive strategic change Build and maintain scalable, resilient, and market leading data solutions Support budgetary and staffing considerations to optimize team performance Engage in operational stability and disaster recovery planning Implement automation tools to reduce toil and improve efficiency Ensure compliance with risk controls and company wide standards Build meaningful relationships across teams to achieve common goals Required Qualifications, Capabilities, and Skills Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms Skilled in running production incident calls and managing incident resolution Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk Strong understanding of SLI/SLO/SLA and Error Budgets Proficient in Python or PySpark for AI/ML modeling Able to reduce toil by building automation tools for repeated tasks Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery Awareness of risk controls and compliance with departmental and company wide standards Collaborative team player with the ability to build meaningful relationships Preferred Qualifications, Capabilities, and Skills Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies AWS and Databricks certifications Advanced knowledge of AI/ML troubleshooting and incident resolution Familiarity with budgetary and staffing optimization Experience mentoring and guiding team members Strong communication and interpersonal skills Demonstrated ability to drive strategic change across teams
26/06/2026
Full time
Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes Coordinate incident management coverage to ensure effective resolution of application issues Collaborate with cross functional teams to perform root cause analysis and implement production changes Develop and support AI/ML solutions for troubleshooting and incident resolution Mentor and guide team members to foster growth and drive strategic change Build and maintain scalable, resilient, and market leading data solutions Support budgetary and staffing considerations to optimize team performance Engage in operational stability and disaster recovery planning Implement automation tools to reduce toil and improve efficiency Ensure compliance with risk controls and company wide standards Build meaningful relationships across teams to achieve common goals Required Qualifications, Capabilities, and Skills Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms Skilled in running production incident calls and managing incident resolution Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk Strong understanding of SLI/SLO/SLA and Error Budgets Proficient in Python or PySpark for AI/ML modeling Able to reduce toil by building automation tools for repeated tasks Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery Awareness of risk controls and compliance with departmental and company wide standards Collaborative team player with the ability to build meaningful relationships Preferred Qualifications, Capabilities, and Skills Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies AWS and Databricks certifications Advanced knowledge of AI/ML troubleshooting and incident resolution Familiarity with budgetary and staffing optimization Experience mentoring and guiding team members Strong communication and interpersonal skills Demonstrated ability to drive strategic change across teams
Senior AI Engineer - Permanent - London/Hybrid Permanent Hybrid in Central London Competitive Salary Key Responsibilities Technical Design & Delivery Contribute to the technical design and architecture of scalable AI solutions. Evaluate AI technologies, frameworks, and third-party services, making recommendations based on technical and business requirements. Participate in technical design reviews and support architectural decisions for complex AI initiatives. Help implement responsible AI, model governance, and production machine learning practices. Work with technical and product stakeholders to translate business requirements into practical AI solutions. Provide technical insights and feasibility assessments to support product and engineering decisions. Technical Expertise & Execution Solve complex AI engineering challenges and provide technical guidance to other engineers. Develop proof-of-concepts for emerging AI technologies and assess their suitability for production use. Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices. Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies. Design evaluation approaches to assess model quality, retrieval performance, reliability, and business outcomes. Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of code quality and outcomes. Diagnose and resolve performance, scalability, reliability, and cost issues within production AI systems. Engineering Standards & Enablement Contribute to engineering best practices, coding standards, and quality benchmarks for AI development. Develop and improve internal AI tooling, including shared libraries, SDKs, and reusable components for RAG, tracing, prompt management, and evaluation. Conduct code reviews and support the development of less-experienced engineers through mentoring and knowledge sharing. Contribute to internal AI enablement activities, technical documentation, demonstrations, and best-practice guidance. Promote maintainable, observable, secure, and well-tested approaches to AI engineering. Cross-functional Collaboration Collaborate closely with Product using a working-backwards approach, contributing to technical designs, breaking down work, and delivering iteratively. Work with Security, Legal, and Data teams to apply AI policies and address privacy, PII protection, security, and regulatory requirements. Communicate technical decisions, risks, trade-offs, and progress clearly to technical and non-technical stakeholders. Partner with software, platform, and data engineers to integrate AI capabilities into wider products and services. Skills, Knowledge and Expertise Must Have 5+ years of software engineering experience, including 2+ years building production AI, Generative AI, or RAG systems. Strong experience designing, building, deploying, and maintaining AI systems in production environments. Demonstrated ability to make sound technical decisions and deliver solutions with measurable business impact. Strong knowledge of LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, and hybrid search techniques. Hands-on experience with leading LLM providers, such as Anthropic and OpenAI, including model selection, evaluation, and optimisation. Advanced Python development skills and experience using AI coding assistants such as Cursor, GitHub Copilot, or Claude Code. Production experience with AWS cloud services and containerised environments, including Kubernetes. Experience building reliable APIs, services, and integration patterns for AI-enabled applications. Strong data engineering capabilities, including dataset creation, ETL development, data quality management, and metrics definition. Solid understanding of machine learning fundamentals, experimentation methodologies, and model performance optimisation. Strong technical communication skills and the ability to collaborate effectively across engineering, product, data, security, and legal teams. Experience applying software engineering practices such as automated testing, version control, continuous integration, observability, and documentation. Nice to Have Experience with model fine-tuning, RLHF, or custom training approaches. Familiarity with MLOps platforms and experiment-tracking tools. Experience with infrastructure as code, such as Terraform or CloudFormation. Experience with LLM evaluation, tracing, prompt management, or AI observability platforms. Background in NLP research or contributions to open-source AI or machine learning projects.
26/06/2026
Full time
Senior AI Engineer - Permanent - London/Hybrid Permanent Hybrid in Central London Competitive Salary Key Responsibilities Technical Design & Delivery Contribute to the technical design and architecture of scalable AI solutions. Evaluate AI technologies, frameworks, and third-party services, making recommendations based on technical and business requirements. Participate in technical design reviews and support architectural decisions for complex AI initiatives. Help implement responsible AI, model governance, and production machine learning practices. Work with technical and product stakeholders to translate business requirements into practical AI solutions. Provide technical insights and feasibility assessments to support product and engineering decisions. Technical Expertise & Execution Solve complex AI engineering challenges and provide technical guidance to other engineers. Develop proof-of-concepts for emerging AI technologies and assess their suitability for production use. Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices. Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies. Design evaluation approaches to assess model quality, retrieval performance, reliability, and business outcomes. Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of code quality and outcomes. Diagnose and resolve performance, scalability, reliability, and cost issues within production AI systems. Engineering Standards & Enablement Contribute to engineering best practices, coding standards, and quality benchmarks for AI development. Develop and improve internal AI tooling, including shared libraries, SDKs, and reusable components for RAG, tracing, prompt management, and evaluation. Conduct code reviews and support the development of less-experienced engineers through mentoring and knowledge sharing. Contribute to internal AI enablement activities, technical documentation, demonstrations, and best-practice guidance. Promote maintainable, observable, secure, and well-tested approaches to AI engineering. Cross-functional Collaboration Collaborate closely with Product using a working-backwards approach, contributing to technical designs, breaking down work, and delivering iteratively. Work with Security, Legal, and Data teams to apply AI policies and address privacy, PII protection, security, and regulatory requirements. Communicate technical decisions, risks, trade-offs, and progress clearly to technical and non-technical stakeholders. Partner with software, platform, and data engineers to integrate AI capabilities into wider products and services. Skills, Knowledge and Expertise Must Have 5+ years of software engineering experience, including 2+ years building production AI, Generative AI, or RAG systems. Strong experience designing, building, deploying, and maintaining AI systems in production environments. Demonstrated ability to make sound technical decisions and deliver solutions with measurable business impact. Strong knowledge of LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, and hybrid search techniques. Hands-on experience with leading LLM providers, such as Anthropic and OpenAI, including model selection, evaluation, and optimisation. Advanced Python development skills and experience using AI coding assistants such as Cursor, GitHub Copilot, or Claude Code. Production experience with AWS cloud services and containerised environments, including Kubernetes. Experience building reliable APIs, services, and integration patterns for AI-enabled applications. Strong data engineering capabilities, including dataset creation, ETL development, data quality management, and metrics definition. Solid understanding of machine learning fundamentals, experimentation methodologies, and model performance optimisation. Strong technical communication skills and the ability to collaborate effectively across engineering, product, data, security, and legal teams. Experience applying software engineering practices such as automated testing, version control, continuous integration, observability, and documentation. Nice to Have Experience with model fine-tuning, RLHF, or custom training approaches. Familiarity with MLOps platforms and experiment-tracking tools. Experience with infrastructure as code, such as Terraform or CloudFormation. Experience with LLM evaluation, tracing, prompt management, or AI observability platforms. Background in NLP research or contributions to open-source AI or machine learning projects.
As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production grade software solutions that leverage cutting edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js and Python, while also integrating machine learning workflows and AI driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities. Skills and Competencies 3+ years of experience in backend software development with a focus on Node.js, building scalable and production grade systems Hands on experience with AI applications, including LLM implementations, retrieval augmented generation, prompt optimization, and fine tuning methodologies Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine learning workflows and integrating Python based AI tools is preferred Excellent problem solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals Effective communication and collaboration skills, with demonstrated experience working across cross functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities Design and implement AI driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents. Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval augmented generation, prompt optimization, fine tuning, and reinforcement learning. Develop end to end pipelines for data ingestion, feature engineering, model inference (batch and real time), and integration of AI driven workflows into production systems. Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI. Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high volume inference workloads. Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems. Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models. Lead the implementation of autonomous agents capable of multi step reasoning, decision making, and tool use in production environments. Participate in design reviews, write high quality code, and contribute to documentation to ensure team wide efficiency and maintainability. Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
26/06/2026
Full time
As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production grade software solutions that leverage cutting edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js and Python, while also integrating machine learning workflows and AI driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities. Skills and Competencies 3+ years of experience in backend software development with a focus on Node.js, building scalable and production grade systems Hands on experience with AI applications, including LLM implementations, retrieval augmented generation, prompt optimization, and fine tuning methodologies Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine learning workflows and integrating Python based AI tools is preferred Excellent problem solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals Effective communication and collaboration skills, with demonstrated experience working across cross functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities Design and implement AI driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents. Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval augmented generation, prompt optimization, fine tuning, and reinforcement learning. Develop end to end pipelines for data ingestion, feature engineering, model inference (batch and real time), and integration of AI driven workflows into production systems. Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI. Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high volume inference workloads. Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems. Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models. Lead the implementation of autonomous agents capable of multi step reasoning, decision making, and tool use in production environments. Participate in design reviews, write high quality code, and contribute to documentation to ensure team wide efficiency and maintainability. Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Mid Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud and on premises infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 3+ years experience in building and maintaining distributed systems in on premises environments including private cloud and hybrid solutions. Strong experience in building and maintaining distributed systems in on premises environments including private cloud and hybrid solutions. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell for automation of operational tasks. Networking including firewall principles, routing, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Experience with a public cloud provider (preferably AWS or Azure). Strong problem solving skills and ability to work in a fast paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with modern infrastructure design patterns. Strong knowledge of server hardware, virtualization (VMware/Hyper V), and storage systems Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of infrastructure security best practices, including: Active Directory DNS DHCP Group Policy Secrets management Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204218 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full-time Additional Locations for this position: Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the DevOps Software Engineer (Senior - Principal)
26/06/2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Mid Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud and on premises infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 3+ years experience in building and maintaining distributed systems in on premises environments including private cloud and hybrid solutions. Strong experience in building and maintaining distributed systems in on premises environments including private cloud and hybrid solutions. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell for automation of operational tasks. Networking including firewall principles, routing, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Experience with a public cloud provider (preferably AWS or Azure). Strong problem solving skills and ability to work in a fast paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with modern infrastructure design patterns. Strong knowledge of server hardware, virtualization (VMware/Hyper V), and storage systems Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of infrastructure security best practices, including: Active Directory DNS DHCP Group Policy Secrets management Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204218 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full-time Additional Locations for this position: Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the DevOps Software Engineer (Senior - Principal)
Skills and Competencies 3+ years of experience in backend software development with a focus on Node.js, building scalable and production grade systems Hands on experience with AI applications, including LLM implementations, retrieval augmented generation, prompt optimization, and fine tuning methodologies Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine learning workflows and integrating Python based AI tools is preferred Excellent problem solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals Effective communication and collaboration skills, with demonstrated experience working across cross functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production grade software solutions that leverage cutting edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js & Python, while also integrating machine learning workflows and AI driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities. Design and implement AI driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval augmented generation, prompt optimization, fine tuning, and reinforcement learning Develop end to end pipelines for data ingestion, feature engineering, model inference (batch and real time), and integration of AI driven workflows into production systems Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI and optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high volume inference workloads Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models Lead the implementation of autonomous agents capable of multi step reasoning, decision making, and tool use in production environments Participate in design reviews, write high quality code, and contribute to documentation to ensure team wide efficiency and maintainability Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes About the Team Our Innovation team is responsible for building internal and external solutions leveraging cutting edge machine learning technology, including LLMs, AI Agents and NLP. The group is made up of a diverse set of professionals spanning a wide range of experience levels. We're organized into agile squads, each focused on building and scaling innovative AI driven products that enhance productivity and deliver measurable value. Collaboration is a cornerstone of how we operate. Engineers and data scientists work closely together to experiment, iterate, and deploy solutions in a fast paced environment. Joining our team means contributing to an open and supportive culture where learning and knowledge sharing are encouraged, and where every team member has the opportunity to make a tangible impact. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
26/06/2026
Full time
Skills and Competencies 3+ years of experience in backend software development with a focus on Node.js, building scalable and production grade systems Hands on experience with AI applications, including LLM implementations, retrieval augmented generation, prompt optimization, and fine tuning methodologies Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine learning workflows and integrating Python based AI tools is preferred Excellent problem solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals Effective communication and collaboration skills, with demonstrated experience working across cross functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production grade software solutions that leverage cutting edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js & Python, while also integrating machine learning workflows and AI driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities. Design and implement AI driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval augmented generation, prompt optimization, fine tuning, and reinforcement learning Develop end to end pipelines for data ingestion, feature engineering, model inference (batch and real time), and integration of AI driven workflows into production systems Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI and optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high volume inference workloads Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models Lead the implementation of autonomous agents capable of multi step reasoning, decision making, and tool use in production environments Participate in design reviews, write high quality code, and contribute to documentation to ensure team wide efficiency and maintainability Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes About the Team Our Innovation team is responsible for building internal and external solutions leveraging cutting edge machine learning technology, including LLMs, AI Agents and NLP. The group is made up of a diverse set of professionals spanning a wide range of experience levels. We're organized into agile squads, each focused on building and scaling innovative AI driven products that enhance productivity and deliver measurable value. Collaboration is a cornerstone of how we operate. Engineers and data scientists work closely together to experiment, iterate, and deploy solutions in a fast paced environment. Joining our team means contributing to an open and supportive culture where learning and knowledge sharing are encouraged, and where every team member has the opportunity to make a tangible impact. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
If you're looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or an exciting new direction, we offer opportunities, support and rewards that will take you further. We're one of the largest banking and financial services organisations in the world, with a network that covers more than 50 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions. We are seeking a MLOps Engineer (LLM/GenAI) In this fantastic role, you'll engineer production-grade infrastructure for modern AI: hosting LLMs and speech/embedding models, pushing inference performance on real hardware, and building repeatable fine-tuning pipelines that ship domain-adapted models into production. If you like hard performance problems, platform engineering, and seeing your work used broadly across a global organisation, this role is built for you. As an HSBC employee in the UK, you'll have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role, you will: Design, build, and operate scalable model hosting platforms for LLMs, embeddings, and STT/TTS across heterogeneous hardware Optimise inference for latency, throughput, and cost (e.g., quantisation, KV-cache optimisation, dynamic/continuous batching) Evaluate and integrate inference frameworks (e.g., vLLM, TensorRT-LLM, SGLang) to maximise performance on target hardware Own inference health/performance monitoring (latency, throughput, TTFT, memory, availability) and troubleshoot bottlenecks/deployment issues Build end-to-end fine-tuning pipelines (data prep - distributed training - validation) and integrate fine-tuned models into the hosting/inference stack To be successful in this role you should have the following skills: Extensive experience in building AI platforms covering model hosting/inference optimisation and fine-tuning pipelines (LLM experience strongly preferred) Strong Python and CUDA engineering; solid understanding of GPU/CPU architecture and HPC fundamentals Deep inference optimisation expertise: KV-cache, batching, quantisation (INT4/FP8/GPTQ/AWQ), operator optimisation, framework integration (vLLM/TensorRT-LLM/SGLang) Production hosting experience with Docker/Kubernetes and cloud platforms (AWS/GCP/Azure) End-to-end fine-tuning expertise: data preparation, distributed training, hyperparameter tuning, HF/Accelerate/LoRA/QLoRA, plus benchmarking/monitoring/troubleshooting Opening up a world of opportunity. Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, socio-economic background or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk via .
26/06/2026
Full time
If you're looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or an exciting new direction, we offer opportunities, support and rewards that will take you further. We're one of the largest banking and financial services organisations in the world, with a network that covers more than 50 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions. We are seeking a MLOps Engineer (LLM/GenAI) In this fantastic role, you'll engineer production-grade infrastructure for modern AI: hosting LLMs and speech/embedding models, pushing inference performance on real hardware, and building repeatable fine-tuning pipelines that ship domain-adapted models into production. If you like hard performance problems, platform engineering, and seeing your work used broadly across a global organisation, this role is built for you. As an HSBC employee in the UK, you'll have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role, you will: Design, build, and operate scalable model hosting platforms for LLMs, embeddings, and STT/TTS across heterogeneous hardware Optimise inference for latency, throughput, and cost (e.g., quantisation, KV-cache optimisation, dynamic/continuous batching) Evaluate and integrate inference frameworks (e.g., vLLM, TensorRT-LLM, SGLang) to maximise performance on target hardware Own inference health/performance monitoring (latency, throughput, TTFT, memory, availability) and troubleshoot bottlenecks/deployment issues Build end-to-end fine-tuning pipelines (data prep - distributed training - validation) and integrate fine-tuned models into the hosting/inference stack To be successful in this role you should have the following skills: Extensive experience in building AI platforms covering model hosting/inference optimisation and fine-tuning pipelines (LLM experience strongly preferred) Strong Python and CUDA engineering; solid understanding of GPU/CPU architecture and HPC fundamentals Deep inference optimisation expertise: KV-cache, batching, quantisation (INT4/FP8/GPTQ/AWQ), operator optimisation, framework integration (vLLM/TensorRT-LLM/SGLang) Production hosting experience with Docker/Kubernetes and cloud platforms (AWS/GCP/Azure) End-to-end fine-tuning expertise: data preparation, distributed training, hyperparameter tuning, HF/Accelerate/LoRA/QLoRA, plus benchmarking/monitoring/troubleshooting Opening up a world of opportunity. Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, socio-economic background or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk via .
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Lead Python Developer to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Lead Python Developer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. Hippo's Lead Python Developers are experts in their field. You will act as a Lead Consultant providing technical expertise in software engineering practices both internally and to our clients. You will be a leader of people and teams, managing projects, driving the team's technical deliverables, maintaining client relationships and be passionate about developing and upskilling others. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries that allow our customers to understand and get the most from their data and digital services. The Lead Python Developer will be a key player and implementer in this. Please note we are looking for candidates who are looking for growth at the Lead level; therefore, the advertised salary band represents the entry point for this level, allowing for clear progression within the role, which we are very keen to support. Your Role in Nutshell Act as a technical SME within the squad to produce and ensure user-centred software is developed based on business requirements and following best practice. Work collaboratively with colleagues to explore, design and deliver solutions to client problems. Design and manage software development and deployment pipelines resolving issues and potential bottlenecks before they occur. Continuously review and prioritise the delivery team's workload and anticipate the need for realignment with evolving operational priorities. Be a strong communicator and presenter, presenting prototypes, solutions and progress to internal/external stakeholders in a clear concise manner. Build great relationships with your team and stakeholders, identifying and ensuring that challenges are overcome. Involved in the recruitment, on-boarding and line management of other engineers, and support other consultants in their professional development. Promote Hippo's Engineering Herd externally (for example through writing Blogs, Workshops, Seminars or Conferences). Skills and experience that you need Essential Experience Excellent experience in Python. Experience leading a delivery team to deliver high quality, robust solutions. Expertise in coaching and guiding others on the best way to achieve an optimal solution. Excellent verbal/written communication skills, able to articulate in both technical/non-technical terms depending on audience. Expertise in the full development lifecycle delivering user-centred digital solutions. Advanced full stack developer skills using Python, HTML, CSS & JavaScript. JavaScript library and framework experience is preferable - Node, React, Angular. Containerisation expertise - Docker or Kubernetes or similar. Expert knowledge of Microservices design and architecture, including Restful API Services. Expertise working within agile methods and using techniques such as Scrum, Kanban and TDD. Skilled in designing and building native and web applications, across a variety of scales and platform environments. Expertise in Infrastructure As Code - Cloudformation, Terraform or ARM or similar. Expertise in public cloud (AWS or Azure) and DevOps. Mastery of CI/CD tools such as Jenkins, AWS CodeBuild, Azure DevOps and Atlassian. Desirable Experience Previous experience of working on GOV/NHS projects is highly desirable. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% & Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
26/06/2026
Full time
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Lead Python Developer to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Lead Python Developer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. Hippo's Lead Python Developers are experts in their field. You will act as a Lead Consultant providing technical expertise in software engineering practices both internally and to our clients. You will be a leader of people and teams, managing projects, driving the team's technical deliverables, maintaining client relationships and be passionate about developing and upskilling others. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries that allow our customers to understand and get the most from their data and digital services. The Lead Python Developer will be a key player and implementer in this. Please note we are looking for candidates who are looking for growth at the Lead level; therefore, the advertised salary band represents the entry point for this level, allowing for clear progression within the role, which we are very keen to support. Your Role in Nutshell Act as a technical SME within the squad to produce and ensure user-centred software is developed based on business requirements and following best practice. Work collaboratively with colleagues to explore, design and deliver solutions to client problems. Design and manage software development and deployment pipelines resolving issues and potential bottlenecks before they occur. Continuously review and prioritise the delivery team's workload and anticipate the need for realignment with evolving operational priorities. Be a strong communicator and presenter, presenting prototypes, solutions and progress to internal/external stakeholders in a clear concise manner. Build great relationships with your team and stakeholders, identifying and ensuring that challenges are overcome. Involved in the recruitment, on-boarding and line management of other engineers, and support other consultants in their professional development. Promote Hippo's Engineering Herd externally (for example through writing Blogs, Workshops, Seminars or Conferences). Skills and experience that you need Essential Experience Excellent experience in Python. Experience leading a delivery team to deliver high quality, robust solutions. Expertise in coaching and guiding others on the best way to achieve an optimal solution. Excellent verbal/written communication skills, able to articulate in both technical/non-technical terms depending on audience. Expertise in the full development lifecycle delivering user-centred digital solutions. Advanced full stack developer skills using Python, HTML, CSS & JavaScript. JavaScript library and framework experience is preferable - Node, React, Angular. Containerisation expertise - Docker or Kubernetes or similar. Expert knowledge of Microservices design and architecture, including Restful API Services. Expertise working within agile methods and using techniques such as Scrum, Kanban and TDD. Skilled in designing and building native and web applications, across a variety of scales and platform environments. Expertise in Infrastructure As Code - Cloudformation, Terraform or ARM or similar. Expertise in public cloud (AWS or Azure) and DevOps. Mastery of CI/CD tools such as Jenkins, AWS CodeBuild, Azure DevOps and Atlassian. Desirable Experience Previous experience of working on GOV/NHS projects is highly desirable. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% & Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
Senior Platform Engineer Department: Engineering Employment Type: Full Time Location: Glasgow Description Encompass enables fast, accurate identity validation and verification of corporate customers, and a gold standard approach to KYC. Our award-winning corporate digital identity (CDI) platform incorporates real-time data and documents from authoritative global public data sources and private customer information, to create and maintain digital risk profiles. Utilizing the expertise of a global transformation team of KYC and banking industry experts, as well as strategic data, technology and consulting partnerships, enables seamless integration of Encompass into existing workflows and systems. With Encompass the world's leading banks improve customer experience and increase business opportunities through consistent regulatory compliance and risk mitigation. With offices in Amsterdam, Glasgow, London, New York, and Sydney, we are a rapidly growing international company offering a chance to be part of our success - read on if you think you're up for the challenge About the role We're building a modern Platform Engineering team focused on creating self-service, scalable platforms that empower developers and accelerate delivery. This isn't about "doing DevOps" for others; it's about engineering resilient systems, improving developer experience, and enabling teams through automation and architecture. As a Senior Platform Engineer, you'll lead the design, implementation, and evolution of complex infrastructure projects that power our engineering teams and products. You'll drive large-scale initiatives independently, mentor others, and shape the future of our platform strategy. Success isn't measured by uptime alone; it's about adoption, developer satisfaction, and reducing cognitive load. Architect and lead complex platform projects from design to deployment. Enable engineering teams with robust CI/CD capabilities through reusable patterns, automation, and security-first practices. Design scalable infrastructure using Infrastructure as Code and config management tools. Build and optimize cloud-native architectures across multiple cloud providers with cost efficiency in mind. Engineer containerized environments with advanced orchestration, networking, and security. Deliver internal platforms and self-service capabilities that improve developer experience and reduce friction. Implement observability stacks-metrics, logs, traces, and proactive alerting for reliability. Champion security and compliance across infrastructure and delivery pipelines. Architect secure, scalable networking solutions for hybrid and cloud environments. Drive continuous improvement through automation, scripting, and tooling. Lead and mentor engineers, foster collaboration, and influence technical direction. Troubleshoot complex issues, optimize performance, and plan for capacity at scale. Skills, Knowledge and Expertise Deep expertise in CI/CD, automation, and pipeline architecture. Mastery of IaC tools (e.g., Terraform, Pulumi) and config management (e.g., Ansible, Chef). Strong AWS architecture skills and cost optimisation strategies Advanced containerization and orchestration experience (Docker, Kubernetes, etc.). Proficiency in observability tools (Prometheus, Grafana, ELK, OpenTelemetry). Security-first mindset with hands-on experience in access control, encryption, and incident response. Solid networking knowledge - protocols, routing, firewalls, and cloud networking. Experience integrating and optimizing software delivery ecosystems (Git, Artifactory, Jenkins) as part of a cohesive platform strategy. Strong scripting and automation skills (Python, Bash, Go, etc.). Proven leadership, mentoring, and stakeholder communication skills. A knack for solving hard problems and making systems better. You'll help shape the future of our infrastructure and the team itself. We offer Participation in our industry leading share options scheme Private Medical Plan 20 days a year Work From Anywhere policy for all staff Flexible-first working policy Enhanced annual, personal and parental leave schemes. Paid volunteering leave programme Employer recognition and employee assistance programmes Equal Opportunities We are committed to fostering a diverse and inclusive workplace where everyone feels valued and empowered to thrive. We welcome applications from individuals of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. If you require any adjustments during the recruitment process to ensure an equitable experience, please let us know. Join us in creating an environment where everyone can contribute their best work. Please note, we are not looking for agency assistance on these roles and will not accept any speculative CVs shared.
26/06/2026
Full time
Senior Platform Engineer Department: Engineering Employment Type: Full Time Location: Glasgow Description Encompass enables fast, accurate identity validation and verification of corporate customers, and a gold standard approach to KYC. Our award-winning corporate digital identity (CDI) platform incorporates real-time data and documents from authoritative global public data sources and private customer information, to create and maintain digital risk profiles. Utilizing the expertise of a global transformation team of KYC and banking industry experts, as well as strategic data, technology and consulting partnerships, enables seamless integration of Encompass into existing workflows and systems. With Encompass the world's leading banks improve customer experience and increase business opportunities through consistent regulatory compliance and risk mitigation. With offices in Amsterdam, Glasgow, London, New York, and Sydney, we are a rapidly growing international company offering a chance to be part of our success - read on if you think you're up for the challenge About the role We're building a modern Platform Engineering team focused on creating self-service, scalable platforms that empower developers and accelerate delivery. This isn't about "doing DevOps" for others; it's about engineering resilient systems, improving developer experience, and enabling teams through automation and architecture. As a Senior Platform Engineer, you'll lead the design, implementation, and evolution of complex infrastructure projects that power our engineering teams and products. You'll drive large-scale initiatives independently, mentor others, and shape the future of our platform strategy. Success isn't measured by uptime alone; it's about adoption, developer satisfaction, and reducing cognitive load. Architect and lead complex platform projects from design to deployment. Enable engineering teams with robust CI/CD capabilities through reusable patterns, automation, and security-first practices. Design scalable infrastructure using Infrastructure as Code and config management tools. Build and optimize cloud-native architectures across multiple cloud providers with cost efficiency in mind. Engineer containerized environments with advanced orchestration, networking, and security. Deliver internal platforms and self-service capabilities that improve developer experience and reduce friction. Implement observability stacks-metrics, logs, traces, and proactive alerting for reliability. Champion security and compliance across infrastructure and delivery pipelines. Architect secure, scalable networking solutions for hybrid and cloud environments. Drive continuous improvement through automation, scripting, and tooling. Lead and mentor engineers, foster collaboration, and influence technical direction. Troubleshoot complex issues, optimize performance, and plan for capacity at scale. Skills, Knowledge and Expertise Deep expertise in CI/CD, automation, and pipeline architecture. Mastery of IaC tools (e.g., Terraform, Pulumi) and config management (e.g., Ansible, Chef). Strong AWS architecture skills and cost optimisation strategies Advanced containerization and orchestration experience (Docker, Kubernetes, etc.). Proficiency in observability tools (Prometheus, Grafana, ELK, OpenTelemetry). Security-first mindset with hands-on experience in access control, encryption, and incident response. Solid networking knowledge - protocols, routing, firewalls, and cloud networking. Experience integrating and optimizing software delivery ecosystems (Git, Artifactory, Jenkins) as part of a cohesive platform strategy. Strong scripting and automation skills (Python, Bash, Go, etc.). Proven leadership, mentoring, and stakeholder communication skills. A knack for solving hard problems and making systems better. You'll help shape the future of our infrastructure and the team itself. We offer Participation in our industry leading share options scheme Private Medical Plan 20 days a year Work From Anywhere policy for all staff Flexible-first working policy Enhanced annual, personal and parental leave schemes. Paid volunteering leave programme Employer recognition and employee assistance programmes Equal Opportunities We are committed to fostering a diverse and inclusive workplace where everyone feels valued and empowered to thrive. We welcome applications from individuals of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. If you require any adjustments during the recruitment process to ensure an equitable experience, please let us know. Join us in creating an environment where everyone can contribute their best work. Please note, we are not looking for agency assistance on these roles and will not accept any speculative CVs shared.
Managing Security Engineer (Hybrid) The Opportunity Our client is seeking an experienced Managing Security Engineer to lead a high performing engineering team responsible for designing, building, and operating security controls as scalable software products. This is a hands on leadership role that combines technical expertise, people management, and delivery ownership within a modern, cloud first engineering environment. You will play a key role in embedding secure by default practices across enterprise platforms and software delivery pipelines, ensuring security capabilities are integrated seamlessly into the development lifecycle while maintaining an excellent developer experience. Key Responsibilities Lead, mentor, and develop a team of engineers, including recruitment, onboarding, performance management, and career development. Define and drive the technical direction of the team, ensuring high quality delivery across design, development, deployment, and production support. Act as a hands on technical leader, contributing to architecture reviews, technical decision making, code reviews, and critical implementations where required. Own operational outcomes for security products, focusing on reliability, performance, scalability, and continuous improvement. Collaborate with Product Managers, platform teams, and engineering stakeholders to align priorities, roadmaps, and delivery objectives. Foster a strong engineering culture centred around modern development practices, fast feedback loops, and continuous learning. Translate complex security requirements into scalable engineering solutions and reusable platform capabilities. Support agile delivery processes while maintaining a strong focus on business and engineering outcomes. Essential Requirements Applicants must have the legal right to work in the UK. Sponsorship is not available for this position. Minimum 5 years' professional software engineering experience, including hands on development using modern programming languages such as Java, JavaScript, or Python. Proven experience owning and supporting production systems delivering measurable reliability, security, or performance outcomes. At least 2 years' experience providing technical leadership to engineering teams through architecture reviews, design guidance, and code reviews. Strong background in designing and operating scalable distributed systems within cloud environments. Experience working with microservices architectures, APIs, and backend services. Practical experience applying modern engineering practices including CI/CD, test driven development, pair programming, monitoring, and observability. Experience working in agile environments and partnering closely with product and engineering stakeholders. Desirable Experience Strong background in security engineering, application security, cloud security, DevSecOps, or secure software development practices. Experience designing and operating security controls within CI/CD pipelines, developer tooling, or shared platform services. Ability to influence technical strategy and drive adoption of secure engineering standards across multiple teams. Experience mentoring senior engineers and emerging technical leaders. Exposure to cloud native technologies including Kubernetes, Docker, AWS, and/or Azure. Familiarity with security metrics and operational indicators used to measure adoption, reliability, and risk reduction. Ability to balance security requirements, engineering delivery, and developer experience effectively. Leadership Responsibilities This position includes line management responsibilities and serves as the first level manager for a team of engineers. What's on Offer Competitive salary package Annual bonus scheme Pension contribution Annual salary review process Life assurance and income protection Private medical and dental cover Flexible and hybrid working arrangements Employee assistance programme Discounted gym membership Paid volunteering days Cycle to work scheme Ongoing professional development, certifications, and career progression opportunities
26/06/2026
Full time
Managing Security Engineer (Hybrid) The Opportunity Our client is seeking an experienced Managing Security Engineer to lead a high performing engineering team responsible for designing, building, and operating security controls as scalable software products. This is a hands on leadership role that combines technical expertise, people management, and delivery ownership within a modern, cloud first engineering environment. You will play a key role in embedding secure by default practices across enterprise platforms and software delivery pipelines, ensuring security capabilities are integrated seamlessly into the development lifecycle while maintaining an excellent developer experience. Key Responsibilities Lead, mentor, and develop a team of engineers, including recruitment, onboarding, performance management, and career development. Define and drive the technical direction of the team, ensuring high quality delivery across design, development, deployment, and production support. Act as a hands on technical leader, contributing to architecture reviews, technical decision making, code reviews, and critical implementations where required. Own operational outcomes for security products, focusing on reliability, performance, scalability, and continuous improvement. Collaborate with Product Managers, platform teams, and engineering stakeholders to align priorities, roadmaps, and delivery objectives. Foster a strong engineering culture centred around modern development practices, fast feedback loops, and continuous learning. Translate complex security requirements into scalable engineering solutions and reusable platform capabilities. Support agile delivery processes while maintaining a strong focus on business and engineering outcomes. Essential Requirements Applicants must have the legal right to work in the UK. Sponsorship is not available for this position. Minimum 5 years' professional software engineering experience, including hands on development using modern programming languages such as Java, JavaScript, or Python. Proven experience owning and supporting production systems delivering measurable reliability, security, or performance outcomes. At least 2 years' experience providing technical leadership to engineering teams through architecture reviews, design guidance, and code reviews. Strong background in designing and operating scalable distributed systems within cloud environments. Experience working with microservices architectures, APIs, and backend services. Practical experience applying modern engineering practices including CI/CD, test driven development, pair programming, monitoring, and observability. Experience working in agile environments and partnering closely with product and engineering stakeholders. Desirable Experience Strong background in security engineering, application security, cloud security, DevSecOps, or secure software development practices. Experience designing and operating security controls within CI/CD pipelines, developer tooling, or shared platform services. Ability to influence technical strategy and drive adoption of secure engineering standards across multiple teams. Experience mentoring senior engineers and emerging technical leaders. Exposure to cloud native technologies including Kubernetes, Docker, AWS, and/or Azure. Familiarity with security metrics and operational indicators used to measure adoption, reliability, and risk reduction. Ability to balance security requirements, engineering delivery, and developer experience effectively. Leadership Responsibilities This position includes line management responsibilities and serves as the first level manager for a team of engineers. What's on Offer Competitive salary package Annual bonus scheme Pension contribution Annual salary review process Life assurance and income protection Private medical and dental cover Flexible and hybrid working arrangements Employee assistance programme Discounted gym membership Paid volunteering days Cycle to work scheme Ongoing professional development, certifications, and career progression opportunities
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud based platform. We harness cutting edge technology and data driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role We're looking for a Software Architect to join our engineering team and play a pivotal role in shaping the technical direction of our platform. This is not just a hands on engineering role, it's a leadership position where you'll be expected to bridge the gap between product vision and technical execution. You'll work closely with Product Managers to translate business requirements into robust technical strategies, produce detailed technical analyses, and guide a team of engineers toward successful, on time delivery. At the same time, you'll remain deeply hands on, contributing directly to our codebase and setting the bar for engineering excellence across the team. Our engineering team sits at the centre of everything we do at Plentific and is constantly tackling challenging problems, such as online payments, quoting, invoicing, booking, search and scoring algorithms, ETL, data pipelines, in app messaging, real time notifications, and fraud prevention. Our backend engineers mostly work with Python and Django on a service oriented architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability, and extensibility. As Software Architect, you'll be the standard bearer for these values. At Plentific AI is at the core of how we build and deliver software. We expect our Software Architect to be fluent in AI assisted development practices, leveraging AI tools across the entire engineering lifecycle: from spec driven development and architectural design, to coding, code review, and delivery. Responsibilities Technical Leadership & Strategy Collaborate closely with Product Managers to translate product requirements into comprehensive technical analyses, breaking down complexity into clear, actionable engineering plans with the help of AI spec driven development tools Define and own the technical roadmap for your team, ensuring architectural decisions align with business goals and long term platform scalability Guide and mentor engineers throughout the delivery lifecycle, from design through to deployment, ensuring the team stays on track and produces high quality output Act as the primary technical point of contact for your squad, facilitating alignment between engineering, product, and stakeholders Architecture & Design Design and evolve scalable, resilient microservices architectures using Django and Python, deployed on Kubernetes at scale Lead the design of APIs, data pipelines, and distributed systems with a strong focus on performance, reliability, and maintainability Define and enforce best practices around database design, query optimisation, and data modelling across relational databases (PostgreSQL) Evaluate emerging technologies and architectural patterns, making evidence based recommendations to the broader engineering organisation Hands On Engineering Write well formulated, testable, and readable code using appropriate software design patterns Build and maintain APIs, microservices, and data pipelines Write complex SQL queries and optimise database performance Debug and resolve issues across our applications, including production incidents Review, maintain, and refactor existing code to support improved or new features AI Driven Development Champion and embed AI assisted practices across the full development lifecycle, including spec generation, architectural design, coding, and delivery, ensuring the team operates at the frontier of modern, AI augmented engineering Delivery & Collaboration Lead code reviews, setting a high bar for quality and consistency across the team Work with product owners, engineering managers, UI designers, and engineers to produce technical specifications and project documentation Remove technical blockers and proactively surface risks to delivery, proposing pragmatic solutions Write clear technical documentation for code, algorithms, APIs, and system architecture Experience and Qualifications 8+ years of software engineering experience, with a strong focus on Python and Django. Proven, hands on experience building and operating Django based microservices at scale, running in production on Kubernetes. Demonstrable experience with AI tools to assist Software Development and Architectural document writing (e.g. Claude Code, Cursor). Demonstrable experience in a Tech Lead or Software Architect capacity, owning technical direction and guiding teams toward delivery. Strong track record of producing technical analyses: working alongside Product Managers to assess requirements, define solutions, estimate complexity, and produce clear, actionable engineering plans. Deep knowledge of distributed systems design, including event driven architectures, asynchronous processing (e.g. Celery, Redis), and inter service communication patterns. Expert level understanding of relational database management (PostgreSQL preferred), including schema design, normalisation, and query optimisation. Solid grasp of computer science fundamentals: data structures, algorithms, and software design patterns. Experience with AWS and cloud native infrastructure; familiarity with CI/CD pipelines (e.g. Jenkins). Ability to work UK working hours (+/- 3 hours). Excellent communication skills, with the ability to articulate complex technical concepts clearly to both technical and non technical audiences. A collaborative, can do mindset with strong ownership and accountability. Benefits A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 5 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
26/06/2026
Full time
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud based platform. We harness cutting edge technology and data driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role We're looking for a Software Architect to join our engineering team and play a pivotal role in shaping the technical direction of our platform. This is not just a hands on engineering role, it's a leadership position where you'll be expected to bridge the gap between product vision and technical execution. You'll work closely with Product Managers to translate business requirements into robust technical strategies, produce detailed technical analyses, and guide a team of engineers toward successful, on time delivery. At the same time, you'll remain deeply hands on, contributing directly to our codebase and setting the bar for engineering excellence across the team. Our engineering team sits at the centre of everything we do at Plentific and is constantly tackling challenging problems, such as online payments, quoting, invoicing, booking, search and scoring algorithms, ETL, data pipelines, in app messaging, real time notifications, and fraud prevention. Our backend engineers mostly work with Python and Django on a service oriented architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability, and extensibility. As Software Architect, you'll be the standard bearer for these values. At Plentific AI is at the core of how we build and deliver software. We expect our Software Architect to be fluent in AI assisted development practices, leveraging AI tools across the entire engineering lifecycle: from spec driven development and architectural design, to coding, code review, and delivery. Responsibilities Technical Leadership & Strategy Collaborate closely with Product Managers to translate product requirements into comprehensive technical analyses, breaking down complexity into clear, actionable engineering plans with the help of AI spec driven development tools Define and own the technical roadmap for your team, ensuring architectural decisions align with business goals and long term platform scalability Guide and mentor engineers throughout the delivery lifecycle, from design through to deployment, ensuring the team stays on track and produces high quality output Act as the primary technical point of contact for your squad, facilitating alignment between engineering, product, and stakeholders Architecture & Design Design and evolve scalable, resilient microservices architectures using Django and Python, deployed on Kubernetes at scale Lead the design of APIs, data pipelines, and distributed systems with a strong focus on performance, reliability, and maintainability Define and enforce best practices around database design, query optimisation, and data modelling across relational databases (PostgreSQL) Evaluate emerging technologies and architectural patterns, making evidence based recommendations to the broader engineering organisation Hands On Engineering Write well formulated, testable, and readable code using appropriate software design patterns Build and maintain APIs, microservices, and data pipelines Write complex SQL queries and optimise database performance Debug and resolve issues across our applications, including production incidents Review, maintain, and refactor existing code to support improved or new features AI Driven Development Champion and embed AI assisted practices across the full development lifecycle, including spec generation, architectural design, coding, and delivery, ensuring the team operates at the frontier of modern, AI augmented engineering Delivery & Collaboration Lead code reviews, setting a high bar for quality and consistency across the team Work with product owners, engineering managers, UI designers, and engineers to produce technical specifications and project documentation Remove technical blockers and proactively surface risks to delivery, proposing pragmatic solutions Write clear technical documentation for code, algorithms, APIs, and system architecture Experience and Qualifications 8+ years of software engineering experience, with a strong focus on Python and Django. Proven, hands on experience building and operating Django based microservices at scale, running in production on Kubernetes. Demonstrable experience with AI tools to assist Software Development and Architectural document writing (e.g. Claude Code, Cursor). Demonstrable experience in a Tech Lead or Software Architect capacity, owning technical direction and guiding teams toward delivery. Strong track record of producing technical analyses: working alongside Product Managers to assess requirements, define solutions, estimate complexity, and produce clear, actionable engineering plans. Deep knowledge of distributed systems design, including event driven architectures, asynchronous processing (e.g. Celery, Redis), and inter service communication patterns. Expert level understanding of relational database management (PostgreSQL preferred), including schema design, normalisation, and query optimisation. Solid grasp of computer science fundamentals: data structures, algorithms, and software design patterns. Experience with AWS and cloud native infrastructure; familiarity with CI/CD pipelines (e.g. Jenkins). Ability to work UK working hours (+/- 3 hours). Excellent communication skills, with the ability to articulate complex technical concepts clearly to both technical and non technical audiences. A collaborative, can do mindset with strong ownership and accountability. Benefits A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 5 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Engineering Manager at JPMorganChase within the Accelerator Business, you would be responsible for the vision for the Data and AI capabilities of the platform - to enable product teams to focus on their core problems and platform would cover the rest. To give a not complete list of examples: data ingestion, transformation, exposing in various query engines, LLM patterns, audit, safety guardrails, compliance and observability. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Technologies we use: Java, Kotlin, Kubernetes, Apache Kafka, GCP, BigQuery, Spark, VertexAI, ModelArmor, DeepEval, Google ADK. Job responsibilities: Set the vision and multi-year strategy for the Data & AI Platform that powers Chase's next-generation digital experiences, translating enterprise priorities into an executable roadmap and measurable outcomes. Lead and scale a multi-discipline organization spanning data platform engineering and AI/MLOps, establishing clear ownership, org structure, operating rhythms, and standards for delivery. Own the platform's end-to-end data foundation-ingestion, transformation, orchestration, metadata/catalog, quality, and governed data products-built for reliability, scalability, and self-service adoption. Serve as the executive steward for compliant use of customer data, ensuring privacy, access controls, lineage, retention, and auditability are embedded by design and aligned to firm risk and regulatory expectations. Define and deliver platform enablement for LLM-powered applications, including reference architectures, developer tooling, model onboarding and deployment patterns, evaluation and testing, observability, and cost/latency guardrails. Establish engineering excellence and operational maturity through SLOs, resiliency practices, incident management, release governance, capacity planning, and continuous improvement across the platform. Drive a product-oriented platform model by partnering with product, security, legal, risk, architecture, and engineering leaders to prioritize the highest-leverage capabilities and accelerate adoption across teams. Enable data-driven product development at scale through trusted analytics pipelines, standardized telemetry, experimentation support, and consistent metrics to inform decisions and improve customer outcomes. Attract, develop, and retain top talent by building leadership depth, setting high standards, coaching managers and senior engineers, and fostering a culture of ownership, inclusion, and accountability. Required qualifications, capabilities and skills Being a problem solver: you can independently analyze a problem and come up with options on how to solve it. Flexibility regarding tools and languages: for example you have to be open to debug an permission issue one day in a python service and dig into some Java/Kotlin out-of-memory issue the other day (of course we take into account your expertise and you will have team members to help you out!). Knowledge of data structures. Experience with either Kubernetes or Docker. Experience with cloud technologies (AWS/Azure/GCP) and distributed systems, web technologies and event driven architectures. Experience in leading people. Preferred qualifications, capabilities and skills Experience with message brokers (Kafka, RabbitMQ, Pulsar etc.). Experience with Kafka Connect. Preferably experience in setting up data platforms, setting standards - not just pipelines. Preferably experience in a distributed data processing environment/framework (e.g. Spark or Flink). Familiarity with advanced AI/ML concepts and protocols, such as Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow) Experience with a deploying to a GenAI platform a production system: Google VertexAI, OpenAI, AWS Bedrock, LangChain, etc.
26/06/2026
Full time
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Engineering Manager at JPMorganChase within the Accelerator Business, you would be responsible for the vision for the Data and AI capabilities of the platform - to enable product teams to focus on their core problems and platform would cover the rest. To give a not complete list of examples: data ingestion, transformation, exposing in various query engines, LLM patterns, audit, safety guardrails, compliance and observability. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Technologies we use: Java, Kotlin, Kubernetes, Apache Kafka, GCP, BigQuery, Spark, VertexAI, ModelArmor, DeepEval, Google ADK. Job responsibilities: Set the vision and multi-year strategy for the Data & AI Platform that powers Chase's next-generation digital experiences, translating enterprise priorities into an executable roadmap and measurable outcomes. Lead and scale a multi-discipline organization spanning data platform engineering and AI/MLOps, establishing clear ownership, org structure, operating rhythms, and standards for delivery. Own the platform's end-to-end data foundation-ingestion, transformation, orchestration, metadata/catalog, quality, and governed data products-built for reliability, scalability, and self-service adoption. Serve as the executive steward for compliant use of customer data, ensuring privacy, access controls, lineage, retention, and auditability are embedded by design and aligned to firm risk and regulatory expectations. Define and deliver platform enablement for LLM-powered applications, including reference architectures, developer tooling, model onboarding and deployment patterns, evaluation and testing, observability, and cost/latency guardrails. Establish engineering excellence and operational maturity through SLOs, resiliency practices, incident management, release governance, capacity planning, and continuous improvement across the platform. Drive a product-oriented platform model by partnering with product, security, legal, risk, architecture, and engineering leaders to prioritize the highest-leverage capabilities and accelerate adoption across teams. Enable data-driven product development at scale through trusted analytics pipelines, standardized telemetry, experimentation support, and consistent metrics to inform decisions and improve customer outcomes. Attract, develop, and retain top talent by building leadership depth, setting high standards, coaching managers and senior engineers, and fostering a culture of ownership, inclusion, and accountability. Required qualifications, capabilities and skills Being a problem solver: you can independently analyze a problem and come up with options on how to solve it. Flexibility regarding tools and languages: for example you have to be open to debug an permission issue one day in a python service and dig into some Java/Kotlin out-of-memory issue the other day (of course we take into account your expertise and you will have team members to help you out!). Knowledge of data structures. Experience with either Kubernetes or Docker. Experience with cloud technologies (AWS/Azure/GCP) and distributed systems, web technologies and event driven architectures. Experience in leading people. Preferred qualifications, capabilities and skills Experience with message brokers (Kafka, RabbitMQ, Pulsar etc.). Experience with Kafka Connect. Preferably experience in setting up data platforms, setting standards - not just pipelines. Preferably experience in a distributed data processing environment/framework (e.g. Spark or Flink). Familiarity with advanced AI/ML concepts and protocols, such as Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow) Experience with a deploying to a GenAI platform a production system: Google VertexAI, OpenAI, AWS Bedrock, LangChain, etc.
About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures-we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration. Key Responsibilities: Work with clients to understand their data landscape and transformation needs. Establish data strategy roadmaps and build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control planes for structured and unstructured data interaction for AI systems. Collaborate with AI Engineers to ensure data structures support advanced AI capabilities. Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents ") Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers. Required Skills & Experience: You need to be equally adept at designing data driven platforms , as well as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries. The Mindset We Value: Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale. Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge. Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey. Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes. Growth Opportunities: Expand your expertise across multiple cloud platforms and emerging data technologies Gain certification in cutting-edge AI, data and knowledge graph technologies Work directly with enterprise leadership to shape AI strategy Develop deep specialisation in industry-specific solutions Contribute to our thought leadership and IP development Shape the future direction of our Pathway platform We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart. This role is hybrid and we come into our London based office 3 days a week.
25/06/2026
Full time
About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures-we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration. Key Responsibilities: Work with clients to understand their data landscape and transformation needs. Establish data strategy roadmaps and build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control planes for structured and unstructured data interaction for AI systems. Collaborate with AI Engineers to ensure data structures support advanced AI capabilities. Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents ") Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers. Required Skills & Experience: You need to be equally adept at designing data driven platforms , as well as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries. The Mindset We Value: Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale. Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge. Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey. Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes. Growth Opportunities: Expand your expertise across multiple cloud platforms and emerging data technologies Gain certification in cutting-edge AI, data and knowledge graph technologies Work directly with enterprise leadership to shape AI strategy Develop deep specialisation in industry-specific solutions Contribute to our thought leadership and IP development Shape the future direction of our Pathway platform We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart. This role is hybrid and we come into our London based office 3 days a week.
About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures-we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration. Key Responsibilities: Work with clients to understand their data landscape and transformation needs. Establish data strategy roadmaps and build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control planes for structured and unstructured data interaction for AI systems. Collaborate with AI Engineers to ensure data structures support advanced AI capabilities. Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents ") Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers. Required Skills & Experience: You need to be equally adept at designing data driven platforms , as well as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries. The Mindset We Value: Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale. Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge. Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey. Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes. Growth Opportunities: Expand your expertise across multiple cloud platforms and emerging data technologies Gain certification in cutting-edge AI, data and knowledge graph technologies Work directly with enterprise leadership to shape AI strategy Develop deep specialisation in industry-specific solutions Contribute to our thought leadership and IP development Shape the future direction of our Pathway platform We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart. This role is hybrid and we come into our London based office 3 days a week.
25/06/2026
Full time
About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures-we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration. Key Responsibilities: Work with clients to understand their data landscape and transformation needs. Establish data strategy roadmaps and build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control planes for structured and unstructured data interaction for AI systems. Collaborate with AI Engineers to ensure data structures support advanced AI capabilities. Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents ") Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers. Required Skills & Experience: You need to be equally adept at designing data driven platforms , as well as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries. The Mindset We Value: Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale. Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge. Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey. Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes. Growth Opportunities: Expand your expertise across multiple cloud platforms and emerging data technologies Gain certification in cutting-edge AI, data and knowledge graph technologies Work directly with enterprise leadership to shape AI strategy Develop deep specialisation in industry-specific solutions Contribute to our thought leadership and IP development Shape the future direction of our Pathway platform We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart. This role is hybrid and we come into our London based office 3 days a week.
Consultant, AI Engineer TC FS 1 Location: London Other locations: Primary Location Only Salary: Competitive Date: 9 Apr 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Title: - Forward Deployed Engineer EY Grade: Consultant (UK) Location: UK (London CP / Manchester / Birmingham / Edinburgh/ Belfast) - Hybrid working with client-site travel as required. Contract: Permanent, full-time Why EY EY is investing in engineering-led AI at scale. EY has been selected for the inaugural Frontier Firm AI Initiative - a collaboration between Microsoft and Harvard's Digital Data Design Institute - recognising EY's leadership in shaping enterprise-grade human-AI operating models. In parallel, EY is expanding its collaboration with OpenAI and Microsoft, bringing advanced AI capabilities to clients through Microsoft's secure Azure OpenAI Service. Joining this team means being part of a growing engineering capability focused on building production-grade AI systems for major organisations across sectors. The opportunity Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions. As a Forward Deployed Engineer, you will sit at the intersection of software engineering, product thinking, and client delivery, working within a squad to build real AI-powered solutions. You will collaborate with engineers, designers and client teams to turn complex problems into reliable systems. In this consultant role within the Forward Deployed Engineering team, you will develop foundational AI engineering and product skills within a delivery squad. You will learn how to design, build and integrate LLM/RAG features, contribute to discovery and user stories, and follow EY standards for quality, security and documentation while supporting demos and adoption. What you'll do Client-facing engineering & delivery Support discovery workshops by capturing requirements and helping translate them into user stories and acceptance criteria. Support demos, show and tells and feedback cycles; prioritise fixes and enhancements with the squad. Work effectively in diverse, multidisciplinary teams and produce client-ready artefacts to agreed timelines. Solution design & implementation Build LLM/RAG features and integrations under guidance, contributing clean, tested, maintainable code. Follow EY reference architectures, security patterns and evaluation baselines, contributing to documentation and reusable accelerators. Product mindset & continuous improvement Contribute to documentation and reusable components/accelerators that help teams deliver consistently. Learn field lessons (what works in client environments) and feed that back through the squad's delivery routines and artefacts. What we're looking for Essential skills & experience Software engineering fundamentals (algorithms, data structures, APIs, microservice basics). Programming in Python and/or TypeScript; exposure to async patterns, testing, and version control (Git). LLM/RAG basics: embeddings, prompt design, retrieval patterns; willingness to learn evaluation and guardrails. Intro experience with data wrangling for structured and unstructured data; feature engineering fundamentals. Cloud fundamentals (Azure preferred); containers (Docker) and CI/CD exposure. Understanding of responsible AI principles, privacy and basic model risk concepts; eagerness to learn UK regulatory context (FCA, PRA, GDPR). Clear written and verbal communication; ability to operate in client environments and collaborate with security, risk and architecture teams. Growth mindset: curiosity, continuous learning, and ability to adapt quickly to new techniques and tools. Nice to have Familiarity with ML concepts (regression, classification, clustering) and deep learning frameworks (PyTorch/TensorFlow). Foundational knowledge of data platforms (Spark/Databricks) and event/streaming patterns (e.g., Event Hub/Kafka). Technical Certifications (preferred) Microsoft Azure AI Engineer Associate (AI 102) - in progress or planned. Azure Data Scientist Associate - in progress or planned. AWS Machine Learning Specialty or Google Professional ML Engineer - welcome. Databricks and Kubernetes (CKA/CKAD) - welcome for future development. How you work You're comfortable being hands-on: coding, debugging, deploying, and iterating with users. You care about quality-but you're pragmatic about what's "good enough" to ship and improve safely, and you're eager to learn from feedback. You can communicate clearly with both technical and non-technical stakeholders as you build confidence in client settings. What we offer High-impact work with leading organisations across sectors, within a collaborative engineering-led AI team. You will benefit from: A structured FDE Academy and cohort learning experience Opportunities to participate in hackathons, innovation challenges and engineering showcases Learning and certification support across cloud and AI technologies Competitive compensation and benefits Flexible hybrid working arrangements depending on client needs Travel & Working Model Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location. Inclusion and accessibility EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know. EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
25/06/2026
Full time
Consultant, AI Engineer TC FS 1 Location: London Other locations: Primary Location Only Salary: Competitive Date: 9 Apr 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Title: - Forward Deployed Engineer EY Grade: Consultant (UK) Location: UK (London CP / Manchester / Birmingham / Edinburgh/ Belfast) - Hybrid working with client-site travel as required. Contract: Permanent, full-time Why EY EY is investing in engineering-led AI at scale. EY has been selected for the inaugural Frontier Firm AI Initiative - a collaboration between Microsoft and Harvard's Digital Data Design Institute - recognising EY's leadership in shaping enterprise-grade human-AI operating models. In parallel, EY is expanding its collaboration with OpenAI and Microsoft, bringing advanced AI capabilities to clients through Microsoft's secure Azure OpenAI Service. Joining this team means being part of a growing engineering capability focused on building production-grade AI systems for major organisations across sectors. The opportunity Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions. As a Forward Deployed Engineer, you will sit at the intersection of software engineering, product thinking, and client delivery, working within a squad to build real AI-powered solutions. You will collaborate with engineers, designers and client teams to turn complex problems into reliable systems. In this consultant role within the Forward Deployed Engineering team, you will develop foundational AI engineering and product skills within a delivery squad. You will learn how to design, build and integrate LLM/RAG features, contribute to discovery and user stories, and follow EY standards for quality, security and documentation while supporting demos and adoption. What you'll do Client-facing engineering & delivery Support discovery workshops by capturing requirements and helping translate them into user stories and acceptance criteria. Support demos, show and tells and feedback cycles; prioritise fixes and enhancements with the squad. Work effectively in diverse, multidisciplinary teams and produce client-ready artefacts to agreed timelines. Solution design & implementation Build LLM/RAG features and integrations under guidance, contributing clean, tested, maintainable code. Follow EY reference architectures, security patterns and evaluation baselines, contributing to documentation and reusable accelerators. Product mindset & continuous improvement Contribute to documentation and reusable components/accelerators that help teams deliver consistently. Learn field lessons (what works in client environments) and feed that back through the squad's delivery routines and artefacts. What we're looking for Essential skills & experience Software engineering fundamentals (algorithms, data structures, APIs, microservice basics). Programming in Python and/or TypeScript; exposure to async patterns, testing, and version control (Git). LLM/RAG basics: embeddings, prompt design, retrieval patterns; willingness to learn evaluation and guardrails. Intro experience with data wrangling for structured and unstructured data; feature engineering fundamentals. Cloud fundamentals (Azure preferred); containers (Docker) and CI/CD exposure. Understanding of responsible AI principles, privacy and basic model risk concepts; eagerness to learn UK regulatory context (FCA, PRA, GDPR). Clear written and verbal communication; ability to operate in client environments and collaborate with security, risk and architecture teams. Growth mindset: curiosity, continuous learning, and ability to adapt quickly to new techniques and tools. Nice to have Familiarity with ML concepts (regression, classification, clustering) and deep learning frameworks (PyTorch/TensorFlow). Foundational knowledge of data platforms (Spark/Databricks) and event/streaming patterns (e.g., Event Hub/Kafka). Technical Certifications (preferred) Microsoft Azure AI Engineer Associate (AI 102) - in progress or planned. Azure Data Scientist Associate - in progress or planned. AWS Machine Learning Specialty or Google Professional ML Engineer - welcome. Databricks and Kubernetes (CKA/CKAD) - welcome for future development. How you work You're comfortable being hands-on: coding, debugging, deploying, and iterating with users. You care about quality-but you're pragmatic about what's "good enough" to ship and improve safely, and you're eager to learn from feedback. You can communicate clearly with both technical and non-technical stakeholders as you build confidence in client settings. What we offer High-impact work with leading organisations across sectors, within a collaborative engineering-led AI team. You will benefit from: A structured FDE Academy and cohort learning experience Opportunities to participate in hackathons, innovation challenges and engineering showcases Learning and certification support across cloud and AI technologies Competitive compensation and benefits Flexible hybrid working arrangements depending on client needs Travel & Working Model Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location. Inclusion and accessibility EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know. EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Position Description CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This role requires onsite presence in Chippenham. Your future duties and responsibilities In this role, you will optimise Azure AKS and AWS EKS Kubernetes clusters, ensuring uptime, security, scalability and performance across secure cloud environments. You will take ownership of infrastructure defined in Terraform, using GitLab CI/CD pipelines to automate deployments and maintain consistency across environments. Working closely with stakeholders, you will proactively identify improvements, troubleshoot complex issues, and contribute to the continuous hardening and resilience of cloud-based systems. You will also participate in an on call rota, supporting critical systems and ensuring issues are resolved efficiently and effectively. With the backing of experienced colleagues, you will help evolve our protective monitoring capability while maintaining the highest operational standards. Key responsibilities: Administer & optimise Azure AKS and AWS EKS Kubernetes clusters Develop & maintain infrastructure as code using Terraform Automate & streamline deployments through GitLab CI/CD pipelines Monitor & enhance system performance, scalability and security Troubleshoot & resolve complex platform and infrastructure issues Support & maintain operational stability through on call participation Required qualifications to be successful in this role You will bring hands on experience in Linux based operational environments and practical expertise managing Kubernetes clusters and infrastructure with Terraform. You should be comfortable working with CI/CD pipelines, supporting cloud based systems in Azure and AWS, and troubleshooting complex technical issues in secure environments. Essential qualifications and experience: Experience working with Linux in an operational environment 1+ years of hands on experience using Terraform for infrastructure automation Experience administering Kubernetes (AKS and/or EKS) Experience working with CI/CD pipelines (e.g. GitLab) Working knowledge of Azure and AWS cloud platforms Experience with SIEM or large scale data platforms Strong problem solving and incident triage skills Desirable: Exposure to the Elastic stack Scripting experience in Python Experience supporting applications and end users Ability to produce clear technical documentation Relevant certifications (e.g. CKA, RHCSA, Elastic Certified Engineer) A proactive approach and willingness to learn Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
25/06/2026
Full time
Position Description CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This role requires onsite presence in Chippenham. Your future duties and responsibilities In this role, you will optimise Azure AKS and AWS EKS Kubernetes clusters, ensuring uptime, security, scalability and performance across secure cloud environments. You will take ownership of infrastructure defined in Terraform, using GitLab CI/CD pipelines to automate deployments and maintain consistency across environments. Working closely with stakeholders, you will proactively identify improvements, troubleshoot complex issues, and contribute to the continuous hardening and resilience of cloud-based systems. You will also participate in an on call rota, supporting critical systems and ensuring issues are resolved efficiently and effectively. With the backing of experienced colleagues, you will help evolve our protective monitoring capability while maintaining the highest operational standards. Key responsibilities: Administer & optimise Azure AKS and AWS EKS Kubernetes clusters Develop & maintain infrastructure as code using Terraform Automate & streamline deployments through GitLab CI/CD pipelines Monitor & enhance system performance, scalability and security Troubleshoot & resolve complex platform and infrastructure issues Support & maintain operational stability through on call participation Required qualifications to be successful in this role You will bring hands on experience in Linux based operational environments and practical expertise managing Kubernetes clusters and infrastructure with Terraform. You should be comfortable working with CI/CD pipelines, supporting cloud based systems in Azure and AWS, and troubleshooting complex technical issues in secure environments. Essential qualifications and experience: Experience working with Linux in an operational environment 1+ years of hands on experience using Terraform for infrastructure automation Experience administering Kubernetes (AKS and/or EKS) Experience working with CI/CD pipelines (e.g. GitLab) Working knowledge of Azure and AWS cloud platforms Experience with SIEM or large scale data platforms Strong problem solving and incident triage skills Desirable: Exposure to the Elastic stack Scripting experience in Python Experience supporting applications and end users Ability to produce clear technical documentation Relevant certifications (e.g. CKA, RHCSA, Elastic Certified Engineer) A proactive approach and willingness to learn Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Senior MLOps Engineer - AI Consultancy Manchester £65k-£80k + Equity + Benefits We're hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). You'll take ownership of production ML systems and help shape how models are deployed, scaled, and maintained for clients. What you'll be doing Leading deployment and scaling of ML systems for client projects Working closely with Data Scientists and ML Engineers in a collaborative, pair-programming environment Owning features end-to-end, from design through to production support Participating in sprint planning and architectural decision-making Improving best practices around experiment tracking, model versioning, and monitoring What we're looking for 3+ years' experience in Data Science, Machine Learning, Data Engineering, or Software Engineering roles Strong production Python experience Hands on experience training and serving ML models Familiarity with PyTorch, TensorFlow, or scikit learn Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar) Experience deploying systems you've helped design Excellent communication skills Eligible for SC clearance Nice to have Practical MLOps experience in live environments Kubernetes and IaC Experience with LLM or agent based systems Open source contributions or technical writing Perks £65k-£80k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension
25/06/2026
Full time
Senior MLOps Engineer - AI Consultancy Manchester £65k-£80k + Equity + Benefits We're hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). You'll take ownership of production ML systems and help shape how models are deployed, scaled, and maintained for clients. What you'll be doing Leading deployment and scaling of ML systems for client projects Working closely with Data Scientists and ML Engineers in a collaborative, pair-programming environment Owning features end-to-end, from design through to production support Participating in sprint planning and architectural decision-making Improving best practices around experiment tracking, model versioning, and monitoring What we're looking for 3+ years' experience in Data Science, Machine Learning, Data Engineering, or Software Engineering roles Strong production Python experience Hands on experience training and serving ML models Familiarity with PyTorch, TensorFlow, or scikit learn Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar) Experience deploying systems you've helped design Excellent communication skills Eligible for SC clearance Nice to have Practical MLOps experience in live environments Kubernetes and IaC Experience with LLM or agent based systems Open source contributions or technical writing Perks £65k-£80k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension
Senior MLOps Engineer - AI Consultancy Manchester £65k-£80k + Equity + Benefits We're hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). You'll take ownership of production ML systems and help shape how models are deployed, scaled, and maintained for clients. What you'll be doing Leading deployment and scaling of ML systems for client projects Working closely with Data Scientists and ML Engineers in a collaborative, pair-programming environment Owning features end-to-end, from design through to production support Participating in sprint planning and architectural decision-making Improving best practices around experiment tracking, model versioning, and monitoring What we're looking for 3+ years' experience in Data Science, Machine Learning, Data Engineering, or Software Engineering roles Strong production Python experience Hands on experience training and serving ML models Familiarity with PyTorch, TensorFlow, or scikit learn Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar) Experience deploying systems you've helped design Excellent communication skills Eligible for SC clearance Nice to have Practical MLOps experience in live environments Kubernetes and IaC Experience with LLM or agent based systems Open source contributions or technical writing Perks £65k-£80k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension
25/06/2026
Full time
Senior MLOps Engineer - AI Consultancy Manchester £65k-£80k + Equity + Benefits We're hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). You'll take ownership of production ML systems and help shape how models are deployed, scaled, and maintained for clients. What you'll be doing Leading deployment and scaling of ML systems for client projects Working closely with Data Scientists and ML Engineers in a collaborative, pair-programming environment Owning features end-to-end, from design through to production support Participating in sprint planning and architectural decision-making Improving best practices around experiment tracking, model versioning, and monitoring What we're looking for 3+ years' experience in Data Science, Machine Learning, Data Engineering, or Software Engineering roles Strong production Python experience Hands on experience training and serving ML models Familiarity with PyTorch, TensorFlow, or scikit learn Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar) Experience deploying systems you've helped design Excellent communication skills Eligible for SC clearance Nice to have Practical MLOps experience in live environments Kubernetes and IaC Experience with LLM or agent based systems Open source contributions or technical writing Perks £65k-£80k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension
About Archangel Lightworks At Archangel Lightworks, we are revolutionising global communication with our?Optical Ground Stations?. By enabling ultra-high bandwidth data transfer for space applications, we are driving the future of high-speed, low-latency connectivity. Our systems are at the forefront of innovation, and we are looking for a talented Systems Engineer?to support the cloud software that bridges our Optical Ground Stations with operational systems and external partners. If you are passionate about space, laser communication, cloud software, systems engineering, and integrating complex technologies, wed love to hear from you! Role Overview As a Systems Engineer, you will play a critical role in supporting the specification, design, integration, and test of cloud-based software and interfaces that enable seamless operations and communications for our?Optical Ground Stations. This role involves working closely with internal engineering teams, external partners, and customers to ensure the cloud software systems support operational needs and enables smooth integration with partner systems. You will be responsible for defining system requirements, designing architecture, ensuring robust integration, and supporting the deployment and maintenance of cloud-based services. Additionally, you will be responsible for leading a small team, planning sprints, and coordinating activities to ensure timely and successful project delivery. This is a cross-functional role that bridges software, systems engineering, and operational workflows. Key Responsibilities Define and document system-level requirements for cloud-based software supporting the operation of Optical Ground Stations. Design scalable, secure, and reliable system architectures and manage APIs, ensuring scalability, security, and operational reliability. Serve as the primary technical point of contact for integration partners, providing guidance and support. Plan and execute system integration, testing and initial operations to validate system functionality and ensure interoperability. Lead sprint planning, manage Agile workflows, and ensure timely delivery of team tasks. Develop and maintain system documentation, including user manuals, API specs, and operational procedures. As a senior engineer, you will; Lead?significant?projects/developments/parts of the system?(e.g., major subsystem for satellite link, ground station integration). Demonstrate?strong architecture/design skills; tackles ambiguous technical challenges. Mentor mid-level/junior engineers; influences technical decisions and best practices. Communicate effectively with leadership and external stakeholders. Proactively seek opportunities for growth, staying abreast of the?state-of-the-art,?driving innovation based on new developments?and embodying the value of curiosity. Support deployment and operation of the system Generate and capture intellectual property Requirements Essential: Bachelors or Masters degree in?Systems Engineering,?Software Engineering,?Computer Science, or a related field. 5+ years of experience in?systems engineering,?software development, or?cloud-based system development. Understanding of systems engineering standards and processes (e.g.?MBSE SysML), and associated tool support (e.g. Enterprise Architect) Understanding of?cloud platforms?(e.g., AWS, Azure, GCP) and their associated services (e.g., compute, storage, networking, APIs). Experience with?API design, development, and documentation, including RESTful APIs and gRPC. Experience with system integration and testing, especially for cloud based applications. Understanding of?system security?principles, including encryption, authentication, and secure data transfer. Strong problem-solving and troubleshooting skills. Excellent communication and interpersonal skills, with the ability to collaborate across multiple disciplines and with external partners. Desirable: Experience with?satellite communication systems,?optical ground stations, or related technologies. Familiarity with?networking protocols?and?distributed systems (e.g., TCP/IP, HTTP, MQTT) and?data serialization formats?(e.g., JSON, Protobuf). Experience with?automated testing frameworks?and?CI/CD pipelines. Proficiency in programming languages such as?Python for system integration and scripting. Experience with?Kubernetes,?Docker, or other containerization and orchestration tools. Knowledge of?data visualization tools?and techniques for operational monitoring and analysis. Familiarity with?DevOps practices, including infrastructure-as-code (e.g., Terraform, CloudFormation). What We Offer The opportunity to make a difference building cutting edge technology to support a world-changing vision Options for hybrid working and custom arrangements that matter to you 25 days annual leave allowance plus bank holidays Investment in you to help you grow, with training resources and budget Supportive team culture with high levels of ownership and responsibility Regular socials and weekly team lunch Variety of additional perks including learning and wellbeing app subscriptions. JBRP1_UKTJ
25/06/2026
Full time
About Archangel Lightworks At Archangel Lightworks, we are revolutionising global communication with our?Optical Ground Stations?. By enabling ultra-high bandwidth data transfer for space applications, we are driving the future of high-speed, low-latency connectivity. Our systems are at the forefront of innovation, and we are looking for a talented Systems Engineer?to support the cloud software that bridges our Optical Ground Stations with operational systems and external partners. If you are passionate about space, laser communication, cloud software, systems engineering, and integrating complex technologies, wed love to hear from you! Role Overview As a Systems Engineer, you will play a critical role in supporting the specification, design, integration, and test of cloud-based software and interfaces that enable seamless operations and communications for our?Optical Ground Stations. This role involves working closely with internal engineering teams, external partners, and customers to ensure the cloud software systems support operational needs and enables smooth integration with partner systems. You will be responsible for defining system requirements, designing architecture, ensuring robust integration, and supporting the deployment and maintenance of cloud-based services. Additionally, you will be responsible for leading a small team, planning sprints, and coordinating activities to ensure timely and successful project delivery. This is a cross-functional role that bridges software, systems engineering, and operational workflows. Key Responsibilities Define and document system-level requirements for cloud-based software supporting the operation of Optical Ground Stations. Design scalable, secure, and reliable system architectures and manage APIs, ensuring scalability, security, and operational reliability. Serve as the primary technical point of contact for integration partners, providing guidance and support. Plan and execute system integration, testing and initial operations to validate system functionality and ensure interoperability. Lead sprint planning, manage Agile workflows, and ensure timely delivery of team tasks. Develop and maintain system documentation, including user manuals, API specs, and operational procedures. As a senior engineer, you will; Lead?significant?projects/developments/parts of the system?(e.g., major subsystem for satellite link, ground station integration). Demonstrate?strong architecture/design skills; tackles ambiguous technical challenges. Mentor mid-level/junior engineers; influences technical decisions and best practices. Communicate effectively with leadership and external stakeholders. Proactively seek opportunities for growth, staying abreast of the?state-of-the-art,?driving innovation based on new developments?and embodying the value of curiosity. Support deployment and operation of the system Generate and capture intellectual property Requirements Essential: Bachelors or Masters degree in?Systems Engineering,?Software Engineering,?Computer Science, or a related field. 5+ years of experience in?systems engineering,?software development, or?cloud-based system development. Understanding of systems engineering standards and processes (e.g.?MBSE SysML), and associated tool support (e.g. Enterprise Architect) Understanding of?cloud platforms?(e.g., AWS, Azure, GCP) and their associated services (e.g., compute, storage, networking, APIs). Experience with?API design, development, and documentation, including RESTful APIs and gRPC. Experience with system integration and testing, especially for cloud based applications. Understanding of?system security?principles, including encryption, authentication, and secure data transfer. Strong problem-solving and troubleshooting skills. Excellent communication and interpersonal skills, with the ability to collaborate across multiple disciplines and with external partners. Desirable: Experience with?satellite communication systems,?optical ground stations, or related technologies. Familiarity with?networking protocols?and?distributed systems (e.g., TCP/IP, HTTP, MQTT) and?data serialization formats?(e.g., JSON, Protobuf). Experience with?automated testing frameworks?and?CI/CD pipelines. Proficiency in programming languages such as?Python for system integration and scripting. Experience with?Kubernetes,?Docker, or other containerization and orchestration tools. Knowledge of?data visualization tools?and techniques for operational monitoring and analysis. Familiarity with?DevOps practices, including infrastructure-as-code (e.g., Terraform, CloudFormation). What We Offer The opportunity to make a difference building cutting edge technology to support a world-changing vision Options for hybrid working and custom arrangements that matter to you 25 days annual leave allowance plus bank holidays Investment in you to help you grow, with training resources and budget Supportive team culture with high levels of ownership and responsibility Regular socials and weekly team lunch Variety of additional perks including learning and wellbeing app subscriptions. JBRP1_UKTJ
At Octopus Energy Trading, we're on a mission to reshape the future of energy. As part of Octopus Energy Group, we're creating an innovative approach to trading that will accelerate the transition to a Net Zero world. With the growth of renewables and a push toward decarbonising heating and transport, greater flexibility in the grid is essential. We are building cutting edge technology to optimise everything, from domestic EV charging to grid scale batteries, to meet the global demand for energy flexibility. We're looking for passionate and unconventional thinkers to join us on this journey, bringing a diversity of experience and ideas to shape a more efficient, flexible, and sustainable energy system. With an increase in variable and distributed supply, using data for trading and forecasting has never been more important. Octopus has always had a tech first approach, and our trading and analytics tools are all built in house by specialised domain teams, focussed on areas like grid scale batteries or market fundamentals, all building on a common platform that is managed by our core engineering team. We are seeking a software engineer to join the core engineering team and help own the developer experience. You will be responsible for designing the frameworks and tooling that allow our domain teams to develop, ship, and manage event driven microservices with zero overhead, as well as building and maintaining core microservices that can be re used by domain teams. Please note, this role is a minimum of 2-3 days a week from our London office - but you'd be welcome in more frequently if you'd like to. What you'll do Build and maintain the platform that underpins our low latency event driven microservices architecture, ensuring it is robust, performant and highly available (our human and algo trading processes run 24/7) Build and maintain core microservices that can be re used by domain teams as well as supporting them to build their own Develop intuitive and well tested tooling that frees domain teams from implementation details, enabling them to focus on their specialism Partner with domain teams to scope and prioritise opportunities, and deliver solutions that make their lives easier Lead by example on software engineering best practices at OE Trading, levelling up domain teams through great documentation, knowledge sharing and driving AI adoption What you'll need Advanced level Python Passionate about clean code and software engineering best practices Enthusiastic about enabling others through great platform, tooling and developer experience Experience managing production systems on Kubernetes (or similar) with observability tools like Grafana, Datadog and Sentry Knowledge of many of the following as possible: Asynchronous Python Microservices REST APIs Event driven architectures Streaming technologies like Redis Streams, Kafka or RabbitMQ WebSockets Kubernetes Autonomy and pragmatism, as projects will be varied and self-driven A team player mindset and to be comfortable jumping into whatever is required - we're still a start up! Bonus points for experience of the following Continuous intraday power trading in the UK or EU Experience developing low latency systems where correctness is critical Building frontends using TypeScript e.g. Angular or React High performance languages like Go and Rust Analytics tooling like Databricks, dbt, Streamlit and Lightdash Our Tech Stack Python for as much as possible Redis as our database and S3 for long term storage FastStream for streaming microservices FastAPI for RESTful microservices Airflow for orchestration Docker and Kubernetes to build and run our microservices GitHub for repos and CircleCI for CI/CD AWS for infrastructure, deployed with Terraform / Spacelift Linear for project management Notion for documentation Claude, Warp and Cursor for AI agents As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
24/06/2026
Full time
At Octopus Energy Trading, we're on a mission to reshape the future of energy. As part of Octopus Energy Group, we're creating an innovative approach to trading that will accelerate the transition to a Net Zero world. With the growth of renewables and a push toward decarbonising heating and transport, greater flexibility in the grid is essential. We are building cutting edge technology to optimise everything, from domestic EV charging to grid scale batteries, to meet the global demand for energy flexibility. We're looking for passionate and unconventional thinkers to join us on this journey, bringing a diversity of experience and ideas to shape a more efficient, flexible, and sustainable energy system. With an increase in variable and distributed supply, using data for trading and forecasting has never been more important. Octopus has always had a tech first approach, and our trading and analytics tools are all built in house by specialised domain teams, focussed on areas like grid scale batteries or market fundamentals, all building on a common platform that is managed by our core engineering team. We are seeking a software engineer to join the core engineering team and help own the developer experience. You will be responsible for designing the frameworks and tooling that allow our domain teams to develop, ship, and manage event driven microservices with zero overhead, as well as building and maintaining core microservices that can be re used by domain teams. Please note, this role is a minimum of 2-3 days a week from our London office - but you'd be welcome in more frequently if you'd like to. What you'll do Build and maintain the platform that underpins our low latency event driven microservices architecture, ensuring it is robust, performant and highly available (our human and algo trading processes run 24/7) Build and maintain core microservices that can be re used by domain teams as well as supporting them to build their own Develop intuitive and well tested tooling that frees domain teams from implementation details, enabling them to focus on their specialism Partner with domain teams to scope and prioritise opportunities, and deliver solutions that make their lives easier Lead by example on software engineering best practices at OE Trading, levelling up domain teams through great documentation, knowledge sharing and driving AI adoption What you'll need Advanced level Python Passionate about clean code and software engineering best practices Enthusiastic about enabling others through great platform, tooling and developer experience Experience managing production systems on Kubernetes (or similar) with observability tools like Grafana, Datadog and Sentry Knowledge of many of the following as possible: Asynchronous Python Microservices REST APIs Event driven architectures Streaming technologies like Redis Streams, Kafka or RabbitMQ WebSockets Kubernetes Autonomy and pragmatism, as projects will be varied and self-driven A team player mindset and to be comfortable jumping into whatever is required - we're still a start up! Bonus points for experience of the following Continuous intraday power trading in the UK or EU Experience developing low latency systems where correctness is critical Building frontends using TypeScript e.g. Angular or React High performance languages like Go and Rust Analytics tooling like Databricks, dbt, Streamlit and Lightdash Our Tech Stack Python for as much as possible Redis as our database and S3 for long term storage FastStream for streaming microservices FastAPI for RESTful microservices Airflow for orchestration Docker and Kubernetes to build and run our microservices GitHub for repos and CircleCI for CI/CD AWS for infrastructure, deployed with Terraform / Spacelift Linear for project management Notion for documentation Claude, Warp and Cursor for AI agents As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
