Senior Adoption Software EngineerBarclays Bank PLCChesterJoin us as a Senior Adoption Software Engineer at Barclays, where you will bring to life a new Digital Platform capability by transforming and modernising our digital estate to build a market-leading digital offering with customer experience at its heart. This is an exciting and key role where you will adopt a Product Operating Model mindset, to truly hear the customer, business and technical challenges and needs, to support the Adoption and build of the new technology into the multiple lines of business alongside writing code in Java. Your main day to day is to work with the lines of business and bring to life their needs through solutions and realising these through rapid prototyping and proof of concepts using Java, BDD testing concepts and Public Cloud (AWS). To be successful in this role you should have: Strong experience with Permissions and Profiles where policy as code is used to define a set of permission roles, whilst also using other security model paradigms such as Relationship Based Access Control (ReBAC), Attribute Based Access Control (ABAC), alongside Role Based Access Control (RBAC). Expertise with Java, BDD testing concepts and Public Cloud (AWS) An understanding in authorisation and authentication technologies such as Policy as Code, IAM, IAM solutions Some other highly desirable skills include: A willingness to constructively disrupt and challenge the norm Strong relationship building skills, patience and resilience to change current thinking and working practices Ability to translate technical concepts and solutions to both non-technical and technical teams without losing the detail Experience with Ping solutions (PingGateway, PingAM, PingIDM, PingDS) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based out of our Glasgow, or Knutsford, office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Feb 06, 2026
Full time
Senior Adoption Software EngineerBarclays Bank PLCChesterJoin us as a Senior Adoption Software Engineer at Barclays, where you will bring to life a new Digital Platform capability by transforming and modernising our digital estate to build a market-leading digital offering with customer experience at its heart. This is an exciting and key role where you will adopt a Product Operating Model mindset, to truly hear the customer, business and technical challenges and needs, to support the Adoption and build of the new technology into the multiple lines of business alongside writing code in Java. Your main day to day is to work with the lines of business and bring to life their needs through solutions and realising these through rapid prototyping and proof of concepts using Java, BDD testing concepts and Public Cloud (AWS). To be successful in this role you should have: Strong experience with Permissions and Profiles where policy as code is used to define a set of permission roles, whilst also using other security model paradigms such as Relationship Based Access Control (ReBAC), Attribute Based Access Control (ABAC), alongside Role Based Access Control (RBAC). Expertise with Java, BDD testing concepts and Public Cloud (AWS) An understanding in authorisation and authentication technologies such as Policy as Code, IAM, IAM solutions Some other highly desirable skills include: A willingness to constructively disrupt and challenge the norm Strong relationship building skills, patience and resilience to change current thinking and working practices Ability to translate technical concepts and solutions to both non-technical and technical teams without losing the detail Experience with Ping solutions (PingGateway, PingAM, PingIDM, PingDS) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based out of our Glasgow, or Knutsford, office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
An exciting opportunity has arisen for a Senior Software Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Senior Software Engineer, you will be contributing to the development and scaling of secure, reliable software in a collaborative, agile environment. This is a contract-based role (12 weeks) offering hybrid / remote working options, a salary range of £500 - £700 per day (Inside IR35) and benefits. You will be responsible for: Building and scaling new software products within an agile squad. Supporting the delivery of innovative health-tech services that positively impact society. Collaborating closely with cross-functional teams including product, UX, and engineering leads. Applying engineering expertise across backend and full-stack development. What we are looking for Previously worked as a Software Engineer, Backend Engineer, Full Stack Developer, Backend Developer, Cloud Engineer, Python Developer, Node.js Developer, Platform Engineer, Infrastructure Engineer or in a similar role. Strong background in cloud-hosted web applications and backend services. Expertise in Node.js, Ruby on Rails, Python; knowledge of Golang or Typescript is advantageous. Experience with agile methodologies, Git, and GitHub workflows. Competence in developing and maintaining large-scale web applications, both frontend and backend. Familiarity with CI/CD pipelines, test-driven development, and code reviews. Proficient in data modelling and relational databases such as PostgreSQL. Experience with Infrastructure as Code, particularly Terraform. Knowledge of cloud platforms including Azure (preferred), AWS, or GCP. Understanding of security and regulatory requirements in software design. This is a unique opportunity to join a forward-thinking tech team and make a tangible difference. Apply now to be part of this exciting venture. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.
Feb 06, 2026
Contractor
An exciting opportunity has arisen for a Senior Software Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Senior Software Engineer, you will be contributing to the development and scaling of secure, reliable software in a collaborative, agile environment. This is a contract-based role (12 weeks) offering hybrid / remote working options, a salary range of £500 - £700 per day (Inside IR35) and benefits. You will be responsible for: Building and scaling new software products within an agile squad. Supporting the delivery of innovative health-tech services that positively impact society. Collaborating closely with cross-functional teams including product, UX, and engineering leads. Applying engineering expertise across backend and full-stack development. What we are looking for Previously worked as a Software Engineer, Backend Engineer, Full Stack Developer, Backend Developer, Cloud Engineer, Python Developer, Node.js Developer, Platform Engineer, Infrastructure Engineer or in a similar role. Strong background in cloud-hosted web applications and backend services. Expertise in Node.js, Ruby on Rails, Python; knowledge of Golang or Typescript is advantageous. Experience with agile methodologies, Git, and GitHub workflows. Competence in developing and maintaining large-scale web applications, both frontend and backend. Familiarity with CI/CD pipelines, test-driven development, and code reviews. Proficient in data modelling and relational databases such as PostgreSQL. Experience with Infrastructure as Code, particularly Terraform. Knowledge of cloud platforms including Azure (preferred), AWS, or GCP. Understanding of security and regulatory requirements in software design. This is a unique opportunity to join a forward-thinking tech team and make a tangible difference. Apply now to be part of this exciting venture. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.
SENIOR OFFENSIVE SECURITY ENGINEERS - LONDON (REMOTE) £60k-£80k Fully Remote (UK-based) Cybersecurity Scale-Up A fast-growing cybersecurity company is seeking Senior Offensive Security Engineers to strengthen their offensive security capabilities. The Role: Conduct comprehensive penetration testing across web applications, infrastructure, APIs, and cloud environments Perform manual security assessments and exploitation Deliver client-facing penetration testing engagements Write detailed technical reports for various stakeholders Collaborate with internal teams on security improvements Essential Requirements: UK Bachelor's degree in Computer Science, Cybersecurity or related subject (or UK Master's as alternative) 3-5 years commercial penetration testing experience Strong understanding of offensive security techniques, OWASP Top 10, MITRE ATT&CK Deep knowledge of operating systems, networking protocols, and system architecture Experience with penetration testing tools (Burp Suite, Metasploit, custom scripts) Excellent communication and report writing skills Desirable: OSCP, CREST certifications Bug bounty participation Red team experience Cloud security testing (AWS, Azure, GCP) Active involvement in security community (CTFs, conferences, research) Company Culture: Technical excellence and deep fundamentals valued over credentials Graduate-focused environment Continuous learning and passion for technology expected Looking for candidates who demonstrate genuine interest in offensive security Location: Fully remote within UK, optional hybrid working from London office
Feb 06, 2026
Full time
SENIOR OFFENSIVE SECURITY ENGINEERS - LONDON (REMOTE) £60k-£80k Fully Remote (UK-based) Cybersecurity Scale-Up A fast-growing cybersecurity company is seeking Senior Offensive Security Engineers to strengthen their offensive security capabilities. The Role: Conduct comprehensive penetration testing across web applications, infrastructure, APIs, and cloud environments Perform manual security assessments and exploitation Deliver client-facing penetration testing engagements Write detailed technical reports for various stakeholders Collaborate with internal teams on security improvements Essential Requirements: UK Bachelor's degree in Computer Science, Cybersecurity or related subject (or UK Master's as alternative) 3-5 years commercial penetration testing experience Strong understanding of offensive security techniques, OWASP Top 10, MITRE ATT&CK Deep knowledge of operating systems, networking protocols, and system architecture Experience with penetration testing tools (Burp Suite, Metasploit, custom scripts) Excellent communication and report writing skills Desirable: OSCP, CREST certifications Bug bounty participation Red team experience Cloud security testing (AWS, Azure, GCP) Active involvement in security community (CTFs, conferences, research) Company Culture: Technical excellence and deep fundamentals valued over credentials Graduate-focused environment Continuous learning and passion for technology expected Looking for candidates who demonstrate genuine interest in offensive security Location: Fully remote within UK, optional hybrid working from London office
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £28,000-£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply
Feb 06, 2026
Full time
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £28,000-£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply
Location Belfast, Birmingham, Cardiff, Darlington, Edinburgh, London, Salford About the job Job summary If you would like to find out more about the role, the Platform Engineering team and what it's like to work at DBT, we are holding a Hiring Manager Q&A session for this role where you can virtually 'meet the team' on Tuesday 17th February at 12:30pm. Please click here to book your spot. About us The Department for Business and Trade (DBT) has a clear mission - to grow the economy. Our role is to help businesses invest, grow and export to create jobs and opportunities right across the country. We do this in three ways. Firstly, we help to build a strong, competitive business environment, where consumers are protected and companies rewarded for treating their employees properly. Secondly, we open international markets and ensure resilient supply chains. This can be through Free Trade Agreements, trade facilitation and multilateral agreements. Finally, we work in partnership with businesses every day, providing advance, finance and deal-making support to those looking to start up, invest, export and grow. The Digital, Data and Technology (DDaT) directorate develops and operates tools and services to support us in this mission. Job description We've successfully completed the migration of DBT services from GOV.UK PaaS to our new developer platform in AWS. Now, we're entering the next phase: evolving this platform into a full Platform-as-a-Service (PaaS) offering. Are you ready to help shape the future of digital delivery at DBT? We're looking for Platform Engineers to help us build the most performant, secure, and feature-rich hosting environment possible, one that puts developer experience front and centre. This is your chance to be part of something transformative, where your work will directly impact how digital services are built and run across government. Main responsibilities As a Senior Platform Engineer, you will work to give development teams the tools for their job, including application performance monitoring, exception, log and metrics aggregation, dashboards, and declarative CI/CD (continuous integration/continuous delivery) pipelines. You'll evangelise product teams about service-level indicators, objectives, and error budgets, and negotiate them. You'll help build and scale our global product platform and participate in an on-call rota for which you will receive an additional allowance. Specific projects the team are working on include rolling out an observability tool to enhance system monitoring and incident response, streamlining deployment processes to reduce downtime and speed up feature delivery, and developing a CLI tool to automate tasks and boost developer productivity. You will be using: Amazon Web Services Azure AWS CodePipelines and AWS CodeBuild Terraform & AWS Copilot (CloudFormation) Docker, Elastic Container Service (ECS) and Elastic Container Registry (ECR) ElasticSearch/OpenSearch Python and Django framework PostgreSQL as a service (Amazon RDS) Sentry Redis/Elasticache Person specification It is essential that you have: Cloud experience with either Amazon Web Services, Azure or Google Cloud Ability to build code-defined, reliable, and well tested infrastructure on top of cloud computing systems (e.g. Terraform, AWS Copilot, CloudFormation, Pulumi) Experience and fluency in one or more programming languages (e.g., writing clean and effective code) Knowledge of Linux/Unix fundamentals and TCP/IP networking Ability to see user impact in the infrastructure and platform changes, including a drive to improve the Developer Experience at every turn In depth experience of designing solutions to complex technical problems independently It is desirable that you have: Experience in designing and implementing Docker images through containerisation Experience in prototyping through reuse of existing Open-Source components
Feb 06, 2026
Full time
Location Belfast, Birmingham, Cardiff, Darlington, Edinburgh, London, Salford About the job Job summary If you would like to find out more about the role, the Platform Engineering team and what it's like to work at DBT, we are holding a Hiring Manager Q&A session for this role where you can virtually 'meet the team' on Tuesday 17th February at 12:30pm. Please click here to book your spot. About us The Department for Business and Trade (DBT) has a clear mission - to grow the economy. Our role is to help businesses invest, grow and export to create jobs and opportunities right across the country. We do this in three ways. Firstly, we help to build a strong, competitive business environment, where consumers are protected and companies rewarded for treating their employees properly. Secondly, we open international markets and ensure resilient supply chains. This can be through Free Trade Agreements, trade facilitation and multilateral agreements. Finally, we work in partnership with businesses every day, providing advance, finance and deal-making support to those looking to start up, invest, export and grow. The Digital, Data and Technology (DDaT) directorate develops and operates tools and services to support us in this mission. Job description We've successfully completed the migration of DBT services from GOV.UK PaaS to our new developer platform in AWS. Now, we're entering the next phase: evolving this platform into a full Platform-as-a-Service (PaaS) offering. Are you ready to help shape the future of digital delivery at DBT? We're looking for Platform Engineers to help us build the most performant, secure, and feature-rich hosting environment possible, one that puts developer experience front and centre. This is your chance to be part of something transformative, where your work will directly impact how digital services are built and run across government. Main responsibilities As a Senior Platform Engineer, you will work to give development teams the tools for their job, including application performance monitoring, exception, log and metrics aggregation, dashboards, and declarative CI/CD (continuous integration/continuous delivery) pipelines. You'll evangelise product teams about service-level indicators, objectives, and error budgets, and negotiate them. You'll help build and scale our global product platform and participate in an on-call rota for which you will receive an additional allowance. Specific projects the team are working on include rolling out an observability tool to enhance system monitoring and incident response, streamlining deployment processes to reduce downtime and speed up feature delivery, and developing a CLI tool to automate tasks and boost developer productivity. You will be using: Amazon Web Services Azure AWS CodePipelines and AWS CodeBuild Terraform & AWS Copilot (CloudFormation) Docker, Elastic Container Service (ECS) and Elastic Container Registry (ECR) ElasticSearch/OpenSearch Python and Django framework PostgreSQL as a service (Amazon RDS) Sentry Redis/Elasticache Person specification It is essential that you have: Cloud experience with either Amazon Web Services, Azure or Google Cloud Ability to build code-defined, reliable, and well tested infrastructure on top of cloud computing systems (e.g. Terraform, AWS Copilot, CloudFormation, Pulumi) Experience and fluency in one or more programming languages (e.g., writing clean and effective code) Knowledge of Linux/Unix fundamentals and TCP/IP networking Ability to see user impact in the infrastructure and platform changes, including a drive to improve the Developer Experience at every turn In depth experience of designing solutions to complex technical problems independently It is desirable that you have: Experience in designing and implementing Docker images through containerisation Experience in prototyping through reuse of existing Open-Source components
Senior Data & Analytics Engineer - Contract Opportunity in Cork, Ireland Key Skills and Expertise The ideal candidate will bring expertise and hands-on experience with the following: SQL: Demonstrated capability creating, optimizing, and managing databases and queries for actionable insights. ETL: Experience in building and maintaining Extract, Transform, and Load processes for efficient data flow. Tableau: A MUST-HAVE skill for creating compelling data visualizations and dashboards to support decision-making. Snowflake/AWS Redshift: Experience with cloud-based data warehouses for scalable and secure data storage. Python: Strong programming skills for automating data analytics and solving complex problems. AWS Sagemaker (Desirable): Familiarity with building and deploying machine learning models is advantageous. If you're passionate about delivering innovative data solutions and want to be part of an ambitious team, this role could be your perfect match! Apply Now Don't miss this exciting opportunity to contribute your expertise as a Senior Data & Analytics Engineer. Apply today to join our client's team in shaping the future of data and analytics! Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Computer Futures please visit (url removed) Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Feb 06, 2026
Contractor
Senior Data & Analytics Engineer - Contract Opportunity in Cork, Ireland Key Skills and Expertise The ideal candidate will bring expertise and hands-on experience with the following: SQL: Demonstrated capability creating, optimizing, and managing databases and queries for actionable insights. ETL: Experience in building and maintaining Extract, Transform, and Load processes for efficient data flow. Tableau: A MUST-HAVE skill for creating compelling data visualizations and dashboards to support decision-making. Snowflake/AWS Redshift: Experience with cloud-based data warehouses for scalable and secure data storage. Python: Strong programming skills for automating data analytics and solving complex problems. AWS Sagemaker (Desirable): Familiarity with building and deploying machine learning models is advantageous. If you're passionate about delivering innovative data solutions and want to be part of an ambitious team, this role could be your perfect match! Apply Now Don't miss this exciting opportunity to contribute your expertise as a Senior Data & Analytics Engineer. Apply today to join our client's team in shaping the future of data and analytics! Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Computer Futures please visit (url removed) Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Technical Lead Developer - Full Stack (TypeScript, Node) Location: Portsmouth, Hampshire (Hybrid - 1 day per week onsite) Salary: 90,000 - 100,000 + benefits We're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking for an experienced Technical Lead Full Stack Developer to play a key role in shaping and delivering their next generation of customer-facing platforms. This is a hands-on technical leadership role where you'll be involved from early design through to production delivery, working with a modern cloud-based stack and deploying to live environments on a daily basis. The Role Lead technical delivery across a high-performing development squad (10+) Contribute to solution design, system architecture and domain modelling Build proof-of-concepts and spike complex or uncertain areas of work Break down requirements into deliverable epics and user stories alongside product and initiative managers Develop and deliver production-ready code across the full stack Ensure high standards of quality, maintainability, performance and security Support and improve live systems once deployed Influence technical direction, tooling and best practice across the wider engineering function Tech Environment You'll work with a modern stack including: TypeScript Node.js microservices Vue.js Redis, SQL Server & Snowflake AWS cloud infrastructure CI/CD pipelines and DevSecOps practices About You Strong full stack development experience (ideally 10+ years) 5+ years of TypeScript experience Solid Node.js Experience Background in system design and scalable architectures Experience building large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable code) Experience working in mature CI/CD and continuous deployment environments A commercial mindset when designing and delivering software Excellent collaboration skills and confidence working with stakeholders Interest in using AI to accelerate and improve software development A passion for performance, security and engineering best practice Degree in Computer Science or equivalent real-world experience What's On Offer Hybrid working (1 day per week in the Portsmouth office) Opportunity to join a scaling UK SaaS business Strong engineering culture with a focus on quality and continuous improvement Supportive, collaborative working environment Community and charity initiatives, including volunteer days Interested in learning more? Apply now or contact us for a confidential discussion about the role and company - (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Feb 05, 2026
Full time
Technical Lead Developer - Full Stack (TypeScript, Node) Location: Portsmouth, Hampshire (Hybrid - 1 day per week onsite) Salary: 90,000 - 100,000 + benefits We're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking for an experienced Technical Lead Full Stack Developer to play a key role in shaping and delivering their next generation of customer-facing platforms. This is a hands-on technical leadership role where you'll be involved from early design through to production delivery, working with a modern cloud-based stack and deploying to live environments on a daily basis. The Role Lead technical delivery across a high-performing development squad (10+) Contribute to solution design, system architecture and domain modelling Build proof-of-concepts and spike complex or uncertain areas of work Break down requirements into deliverable epics and user stories alongside product and initiative managers Develop and deliver production-ready code across the full stack Ensure high standards of quality, maintainability, performance and security Support and improve live systems once deployed Influence technical direction, tooling and best practice across the wider engineering function Tech Environment You'll work with a modern stack including: TypeScript Node.js microservices Vue.js Redis, SQL Server & Snowflake AWS cloud infrastructure CI/CD pipelines and DevSecOps practices About You Strong full stack development experience (ideally 10+ years) 5+ years of TypeScript experience Solid Node.js Experience Background in system design and scalable architectures Experience building large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable code) Experience working in mature CI/CD and continuous deployment environments A commercial mindset when designing and delivering software Excellent collaboration skills and confidence working with stakeholders Interest in using AI to accelerate and improve software development A passion for performance, security and engineering best practice Degree in Computer Science or equivalent real-world experience What's On Offer Hybrid working (1 day per week in the Portsmouth office) Opportunity to join a scaling UK SaaS business Strong engineering culture with a focus on quality and continuous improvement Supportive, collaborative working environment Community and charity initiatives, including volunteer days Interested in learning more? Apply now or contact us for a confidential discussion about the role and company - (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Principal Software Engineer AI & Innovation Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technology boundaries. Within the newly createdAI & Innovation team, you will shape the future of the organisation s products through cutting-edge technology, experimentation and creative thinking. A truly exciting opportunity to influence and create something new. Key Responsibilities Build innovative MVPs to validate ideas and accelerate learning Lead the design and implementation of scalable, high-performance software systems Collaborate closely with Product, Design, QA, and Engineering teams Evaluate, experiment and recommend new technologies, frameworks and tools Mentor and coach engineers to create a culture of innovation and continuous improvement Oversee code reviews and ensure delivery of high-quality maintainable software Troubleshoot and resolve complex technical challenges Contribute to strategic planning and align technology decisions with business goals Essential Skills Significant experience in a senior software engineering position Proven experience delivering innovative AI solutions Practical knowledge of AI, including building and training LLMs Strong understanding of Microservices and modern web architectures Deep expertise in programming languages and frameworks such as Java and Spring Boot Extensive experience designing large-scale systems Strong knowledge of AWS cloud architecture and services Excellent problem-solving skills and a results-driven mindset Experience mentoring and guiding technical teams to deliver Desirable Experience DevOps practices and CI/CD pipelines Secure-by-design development and security best practices Contributions to open-source projects
Feb 05, 2026
Full time
Principal Software Engineer AI & Innovation Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technology boundaries. Within the newly createdAI & Innovation team, you will shape the future of the organisation s products through cutting-edge technology, experimentation and creative thinking. A truly exciting opportunity to influence and create something new. Key Responsibilities Build innovative MVPs to validate ideas and accelerate learning Lead the design and implementation of scalable, high-performance software systems Collaborate closely with Product, Design, QA, and Engineering teams Evaluate, experiment and recommend new technologies, frameworks and tools Mentor and coach engineers to create a culture of innovation and continuous improvement Oversee code reviews and ensure delivery of high-quality maintainable software Troubleshoot and resolve complex technical challenges Contribute to strategic planning and align technology decisions with business goals Essential Skills Significant experience in a senior software engineering position Proven experience delivering innovative AI solutions Practical knowledge of AI, including building and training LLMs Strong understanding of Microservices and modern web architectures Deep expertise in programming languages and frameworks such as Java and Spring Boot Extensive experience designing large-scale systems Strong knowledge of AWS cloud architecture and services Excellent problem-solving skills and a results-driven mindset Experience mentoring and guiding technical teams to deliver Desirable Experience DevOps practices and CI/CD pipelines Secure-by-design development and security best practices Contributions to open-source projects
Head of AI and Innovation Recruiting for an organisation investing significantly in AI and innovation as a key driver of their future. In order to achieve their goals, they re creating an innovation function with the autonomy and sponsorship to challenge the current products and services. As Head of AI & Innovation, you ll be entrusted with building and leading this capability from the ground up. You ll operate with senior-level backing to experiment and explore ideas outside of the existing product or technology roadmaps. This role is for someone who thrives in ambiguity, understands both technology and commercial impact and can turn bold thinking into tangible outcomes. Key Responsibilities Define how AI should be applied across the existing products and services, balancing long-term ambition with short-term experimentation and delivery Explore concepts, test assumptions and convert ideas into working prototypes and MVPs that can be validated with real users and stakeholders Investigate emerging technologies and approaches, from LLM driven capabilities to advanced analytics, ultimately resulting in new ways of differentiating the existing offerings Improve how the business operates through identifying opportunities where AI can remove friction, automate workflows and improve decision-making across internal teams Embed AI practices around data usage, model behaviour, transparency and compliance. Ensuring innovation is matched with trust Work closely with executive leadership to shape priorities, communicate progress and ensure AI initiatives remain aligned with business strategy Recruit, mentor and lead a small group of highly capable Principal Software Engineers, creating an environment that rewards curiosity, pace, and quality Key Skills Proven Innovator who has successfully introduced new technologies and approaches into an established technology organisation and understands how to navigate both opportunity and resistance Hands-on experience designing, building and deploying AI-powered solutions, including LLM based systems Have clear judgement and ability to communicate where AI adds value A solid background in cloud platforms such as AWS and Azure with experience delivering scalable, production grade solutions Commercially minded individual who is comfortable translating complex technical ideas into clear business outcomes for senior, non-technical stakeholders Experience leading technical teams and influencing across product, engineering and operations without relying on formal authority A track record of delivery, moving from ideation to real-world impact, including how new AI features will be utilised by customers Must possess experience working with innovative or disruptive technologies
Feb 05, 2026
Full time
Head of AI and Innovation Recruiting for an organisation investing significantly in AI and innovation as a key driver of their future. In order to achieve their goals, they re creating an innovation function with the autonomy and sponsorship to challenge the current products and services. As Head of AI & Innovation, you ll be entrusted with building and leading this capability from the ground up. You ll operate with senior-level backing to experiment and explore ideas outside of the existing product or technology roadmaps. This role is for someone who thrives in ambiguity, understands both technology and commercial impact and can turn bold thinking into tangible outcomes. Key Responsibilities Define how AI should be applied across the existing products and services, balancing long-term ambition with short-term experimentation and delivery Explore concepts, test assumptions and convert ideas into working prototypes and MVPs that can be validated with real users and stakeholders Investigate emerging technologies and approaches, from LLM driven capabilities to advanced analytics, ultimately resulting in new ways of differentiating the existing offerings Improve how the business operates through identifying opportunities where AI can remove friction, automate workflows and improve decision-making across internal teams Embed AI practices around data usage, model behaviour, transparency and compliance. Ensuring innovation is matched with trust Work closely with executive leadership to shape priorities, communicate progress and ensure AI initiatives remain aligned with business strategy Recruit, mentor and lead a small group of highly capable Principal Software Engineers, creating an environment that rewards curiosity, pace, and quality Key Skills Proven Innovator who has successfully introduced new technologies and approaches into an established technology organisation and understands how to navigate both opportunity and resistance Hands-on experience designing, building and deploying AI-powered solutions, including LLM based systems Have clear judgement and ability to communicate where AI adds value A solid background in cloud platforms such as AWS and Azure with experience delivering scalable, production grade solutions Commercially minded individual who is comfortable translating complex technical ideas into clear business outcomes for senior, non-technical stakeholders Experience leading technical teams and influencing across product, engineering and operations without relying on formal authority A track record of delivery, moving from ideation to real-world impact, including how new AI features will be utilised by customers Must possess experience working with innovative or disruptive technologies
Principal Software Engineer AI & Innovation Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technology boundaries. Within the newly createdAI & Innovation team, you will shape the future of the organisation s products through cutting-edge technology, experimentation and creative thinking. A truly exciting opportunity to influence and create something new. Key Responsibilities Build innovative MVPs to validate ideas and accelerate learning Lead the design and implementation of scalable, high-performance software systems Collaborate closely with Product, Design, QA, and Engineering teams Evaluate, experiment and recommend new technologies, frameworks and tools Mentor and coach engineers to create a culture of innovation and continuous improvement Oversee code reviews and ensure delivery of high-quality maintainable software Troubleshoot and resolve complex technical challenges Contribute to strategic planning and align technology decisions with business goals Essential Skills Significant experience in a senior software engineering position Proven experience delivering innovative AI solutions Practical knowledge of AI, including building and training LLMs Strong understanding of Microservices and modern web architectures Deep expertise in programming languages and frameworks such as Java and Spring Boot Extensive experience designing large-scale systems Strong knowledge of AWS cloud architecture and services Excellent problem-solving skills and a results-driven mindset Experience mentoring and guiding technical teams to deliver Desirable Experience DevOps practices and CI/CD pipelines Secure-by-design development and security best practices Contributions to open-source projects
Feb 05, 2026
Full time
Principal Software Engineer AI & Innovation Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technology boundaries. Within the newly createdAI & Innovation team, you will shape the future of the organisation s products through cutting-edge technology, experimentation and creative thinking. A truly exciting opportunity to influence and create something new. Key Responsibilities Build innovative MVPs to validate ideas and accelerate learning Lead the design and implementation of scalable, high-performance software systems Collaborate closely with Product, Design, QA, and Engineering teams Evaluate, experiment and recommend new technologies, frameworks and tools Mentor and coach engineers to create a culture of innovation and continuous improvement Oversee code reviews and ensure delivery of high-quality maintainable software Troubleshoot and resolve complex technical challenges Contribute to strategic planning and align technology decisions with business goals Essential Skills Significant experience in a senior software engineering position Proven experience delivering innovative AI solutions Practical knowledge of AI, including building and training LLMs Strong understanding of Microservices and modern web architectures Deep expertise in programming languages and frameworks such as Java and Spring Boot Extensive experience designing large-scale systems Strong knowledge of AWS cloud architecture and services Excellent problem-solving skills and a results-driven mindset Experience mentoring and guiding technical teams to deliver Desirable Experience DevOps practices and CI/CD pipelines Secure-by-design development and security best practices Contributions to open-source projects
Delivery Manager (SC + NPPV3 Cleared) Birmingham (Hybrid) 6 Month Contract £500/day (Outside IR35) Delivery Manager needed with both active SC Clearance and NPPV3 Security Clearance. 6 Month Contract based in Birmingham (Hybrid). Paying up to £500/day (Outside IR35). Start ASAP in Feb/March 2026. Hybrid Working - 3 days/week remote (WFH), and 2 days/week working on-site in the Birmingham office, plus occasional travel to the London office. A chance to work with a leading global IT transformation business specialising in delivering large-scale Government / Public Sector projects. Key experience + tasks will include: Technical Delivery Manager ideally with experience of delivering AWS Cloud environments ( I.e EC2, RDS, ELB, EBS, EFS, S3, VPC, Glacier, IAM, CloudWatch, KMS.) Delivery of IT Digital or Technology projects using both Agile methodologies on Government projects. Delivery of Software or Infrastructure projects on time and within budget. Lead teams including Developers, Architects, Engineers, service desk engineers and operations teams. Git, Jira, Confluence, and ServiceNow for incident and change management. Experience managing incident, problem, change management processes and hands-on delivery experience. Lead end to end delivery of complex Software or Application projects, often involving multiple workstreams Strong stakeholder management skills, including the ability to engage end users. Experience of Agile delivery methodologies,. Need active SC - Security Clearance and NPPV3 essential
Feb 05, 2026
Contractor
Delivery Manager (SC + NPPV3 Cleared) Birmingham (Hybrid) 6 Month Contract £500/day (Outside IR35) Delivery Manager needed with both active SC Clearance and NPPV3 Security Clearance. 6 Month Contract based in Birmingham (Hybrid). Paying up to £500/day (Outside IR35). Start ASAP in Feb/March 2026. Hybrid Working - 3 days/week remote (WFH), and 2 days/week working on-site in the Birmingham office, plus occasional travel to the London office. A chance to work with a leading global IT transformation business specialising in delivering large-scale Government / Public Sector projects. Key experience + tasks will include: Technical Delivery Manager ideally with experience of delivering AWS Cloud environments ( I.e EC2, RDS, ELB, EBS, EFS, S3, VPC, Glacier, IAM, CloudWatch, KMS.) Delivery of IT Digital or Technology projects using both Agile methodologies on Government projects. Delivery of Software or Infrastructure projects on time and within budget. Lead teams including Developers, Architects, Engineers, service desk engineers and operations teams. Git, Jira, Confluence, and ServiceNow for incident and change management. Experience managing incident, problem, change management processes and hands-on delivery experience. Lead end to end delivery of complex Software or Application projects, often involving multiple workstreams Strong stakeholder management skills, including the ability to engage end users. Experience of Agile delivery methodologies,. Need active SC - Security Clearance and NPPV3 essential
Head of AI and Innovation Recruiting for an organisation investing significantly in AI and innovation as a key driver of their future. In order to achieve their goals, they re creating an innovation function with the autonomy and sponsorship to challenge the current products and services. As Head of AI & Innovation, you ll be entrusted with building and leading this capability from the ground up. You ll operate with senior-level backing to experiment and explore ideas outside of the existing product or technology roadmaps. This role is for someone who thrives in ambiguity, understands both technology and commercial impact and can turn bold thinking into tangible outcomes. Key Responsibilities Define how AI should be applied across the existing products and services, balancing long-term ambition with short-term experimentation and delivery Explore concepts, test assumptions and convert ideas into working prototypes and MVPs that can be validated with real users and stakeholders Investigate emerging technologies and approaches, from LLM driven capabilities to advanced analytics, ultimately resulting in new ways of differentiating the existing offerings Improve how the business operates through identifying opportunities where AI can remove friction, automate workflows and improve decision-making across internal teams Embed AI practices around data usage, model behaviour, transparency and compliance. Ensuring innovation is matched with trust Work closely with executive leadership to shape priorities, communicate progress and ensure AI initiatives remain aligned with business strategy Recruit, mentor and lead a small group of highly capable Principal Software Engineers, creating an environment that rewards curiosity, pace, and quality Key Skills Proven Innovator who has successfully introduced new technologies and approaches into an established technology organisation and understands how to navigate both opportunity and resistance Hands-on experience designing, building and deploying AI-powered solutions, including LLM based systems Have clear judgement and ability to communicate where AI adds value A solid background in cloud platforms such as AWS and Azure with experience delivering scalable, production grade solutions Commercially minded individual who is comfortable translating complex technical ideas into clear business outcomes for senior, non-technical stakeholders Experience leading technical teams and influencing across product, engineering and operations without relying on formal authority A track record of delivery, moving from ideation to real-world impact, including how new AI features will be utilised by customers Must possess experience working with innovative or disruptive technologies
Feb 05, 2026
Full time
Head of AI and Innovation Recruiting for an organisation investing significantly in AI and innovation as a key driver of their future. In order to achieve their goals, they re creating an innovation function with the autonomy and sponsorship to challenge the current products and services. As Head of AI & Innovation, you ll be entrusted with building and leading this capability from the ground up. You ll operate with senior-level backing to experiment and explore ideas outside of the existing product or technology roadmaps. This role is for someone who thrives in ambiguity, understands both technology and commercial impact and can turn bold thinking into tangible outcomes. Key Responsibilities Define how AI should be applied across the existing products and services, balancing long-term ambition with short-term experimentation and delivery Explore concepts, test assumptions and convert ideas into working prototypes and MVPs that can be validated with real users and stakeholders Investigate emerging technologies and approaches, from LLM driven capabilities to advanced analytics, ultimately resulting in new ways of differentiating the existing offerings Improve how the business operates through identifying opportunities where AI can remove friction, automate workflows and improve decision-making across internal teams Embed AI practices around data usage, model behaviour, transparency and compliance. Ensuring innovation is matched with trust Work closely with executive leadership to shape priorities, communicate progress and ensure AI initiatives remain aligned with business strategy Recruit, mentor and lead a small group of highly capable Principal Software Engineers, creating an environment that rewards curiosity, pace, and quality Key Skills Proven Innovator who has successfully introduced new technologies and approaches into an established technology organisation and understands how to navigate both opportunity and resistance Hands-on experience designing, building and deploying AI-powered solutions, including LLM based systems Have clear judgement and ability to communicate where AI adds value A solid background in cloud platforms such as AWS and Azure with experience delivering scalable, production grade solutions Commercially minded individual who is comfortable translating complex technical ideas into clear business outcomes for senior, non-technical stakeholders Experience leading technical teams and influencing across product, engineering and operations without relying on formal authority A track record of delivery, moving from ideation to real-world impact, including how new AI features will be utilised by customers Must possess experience working with innovative or disruptive technologies
Overview PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world-all in a flexible, award-winning workplace. The Principal Customer Success Manager is aligned at the customers' key stakeholder level, building and fostering strong relationships to help customers accelerate their digital journey. Customer Success Managers are working directly with customers that can vary in their market segment, size, solution complexity and life cycle, depending on the customers needs. Responsibilities Build and foster executive-level trusted advisor relationships with the customer's IT, Engineering and Support organizations. Demonstrates hands-on PagerDuty Product knowledge by applying it to the customer's business priorities. Guide a customer on process, people and change management best practices to drive customers adoption of real time operations. Proactively identify risks to the customer achieving their stated business goals and work with the sales team to build a risk mitigation plan. Produce and execute a comprehensive adoption path of PagerDuty products, showing the current state, target future state with timeline. Deliver business value and innovation to a customer's business by understanding the customers' opportunity to reduce cost and drive growth. When appropriate, recommend additional expert services needed to drive success. Proactively communicate technical product changes, degradations, outages, end of life and other relevant updates. Represent the voice of the customer to inform our sales process or product roadmap. Lead the cross functional post sales team at PagerDuty, delivering a seamless experience on behalf of the customer. Prepare and facilitate business review meetings, training sessions, webinars, demos, and other strategic and supportive interactions. Predict and forecast risk, renewal and expansion within the customer portfolio. Basic Qualifications Experienced professional with 5-10 years relevant industry expertise. Experience building business value ROI models. Working knowledge in a SaaS business model. Strong knowledge of PagerDuty product and platform features and capabilities is highly desired. Strong understanding of IT enterprise architecture, DevOps principles and modern IT monitoring Ability to travel to client sites as necessary Preferred Qualifications Strong consulting skills and proven results working as a trusted advisor to drive business value for customers. Thrive in a collaborative fast pace environment and as a part of a results oriented team. Ability to drive effective and influencing conversations at the C-level; facilitation of difficult discussions and adept at handling objections. Worked in a DevOps environment or with a company going through a transition to DevOps. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for 9999 job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site. Your package may include: Competitive salary Comprehensive benefits package Flexible work arrangements Company equity ESPP (Employee Stock Purchase Program) Retirement or pension plan Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws) Paid volunteer time off: 20 hours per year Company-wide hack weeks Mental wellness programs Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy. PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.
Feb 05, 2026
Full time
Overview PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world-all in a flexible, award-winning workplace. The Principal Customer Success Manager is aligned at the customers' key stakeholder level, building and fostering strong relationships to help customers accelerate their digital journey. Customer Success Managers are working directly with customers that can vary in their market segment, size, solution complexity and life cycle, depending on the customers needs. Responsibilities Build and foster executive-level trusted advisor relationships with the customer's IT, Engineering and Support organizations. Demonstrates hands-on PagerDuty Product knowledge by applying it to the customer's business priorities. Guide a customer on process, people and change management best practices to drive customers adoption of real time operations. Proactively identify risks to the customer achieving their stated business goals and work with the sales team to build a risk mitigation plan. Produce and execute a comprehensive adoption path of PagerDuty products, showing the current state, target future state with timeline. Deliver business value and innovation to a customer's business by understanding the customers' opportunity to reduce cost and drive growth. When appropriate, recommend additional expert services needed to drive success. Proactively communicate technical product changes, degradations, outages, end of life and other relevant updates. Represent the voice of the customer to inform our sales process or product roadmap. Lead the cross functional post sales team at PagerDuty, delivering a seamless experience on behalf of the customer. Prepare and facilitate business review meetings, training sessions, webinars, demos, and other strategic and supportive interactions. Predict and forecast risk, renewal and expansion within the customer portfolio. Basic Qualifications Experienced professional with 5-10 years relevant industry expertise. Experience building business value ROI models. Working knowledge in a SaaS business model. Strong knowledge of PagerDuty product and platform features and capabilities is highly desired. Strong understanding of IT enterprise architecture, DevOps principles and modern IT monitoring Ability to travel to client sites as necessary Preferred Qualifications Strong consulting skills and proven results working as a trusted advisor to drive business value for customers. Thrive in a collaborative fast pace environment and as a part of a results oriented team. Ability to drive effective and influencing conversations at the C-level; facilitation of difficult discussions and adept at handling objections. Worked in a DevOps environment or with a company going through a transition to DevOps. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for 9999 job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site. Your package may include: Competitive salary Comprehensive benefits package Flexible work arrangements Company equity ESPP (Employee Stock Purchase Program) Retirement or pension plan Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws) Paid volunteer time off: 20 hours per year Company-wide hack weeks Mental wellness programs Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy. PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £28,000-£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply
Feb 05, 2026
Full time
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £28,000-£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply
Job title: Graduate Machine Learning and AI Engineer Location : Edinburgh Hybrid role working 2 days a week in the office Salary: 30,000 to 38,000 Contract: 12-month fixed term contract Our market-leading financial services client is seeking an a motivated, detail focused Graduate Machine Learning and AI Engineer to join the Business Transaction Banking division. This role involves building and optimising agent workflows, integrating LLMs with internal tools/data. Additionally, you will have the opportunity to be involved with model deployment, automation & CI/CD. You will also be deploying these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation. Key Responsibilities Model Deployment: Take trained AI/ML models and package them into deployable artefacts (e.g., Docker images). Kubernetes Orchestration: Deploy these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation. Automation & CI/CD: Build pipelines for automated deployment, testing, and monitoring of models. Environment Management: Handle containerisation (Docker), networking, and configuration for production environments. Monitoring & Logging: Implement tools to track model performance, resource usage, and system health. Skills and Experience Have research or practical experience with machine learning engineering and artificial intelligence Experience using the following: Python, Kubernetes, Docker. Experience using CI/CD Tools: Jenkins, GitHub Actions, or Azure DevOps. Experience using Cloud Platforms: AWS, Azure, or GCP. Basic Machine Learning Knowledge: Understanding of how models work to troubleshoot deployment issues. Great attention to detail Analytical mindset and uses a methodological approach to complete tasks. Resilient Confident, professional, and able to work effectively with multiple teams. You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation, initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset! If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Adecco Emerging talent is an employment consultancy and operates as an equal opportunities' employer.
Feb 05, 2026
Contractor
Job title: Graduate Machine Learning and AI Engineer Location : Edinburgh Hybrid role working 2 days a week in the office Salary: 30,000 to 38,000 Contract: 12-month fixed term contract Our market-leading financial services client is seeking an a motivated, detail focused Graduate Machine Learning and AI Engineer to join the Business Transaction Banking division. This role involves building and optimising agent workflows, integrating LLMs with internal tools/data. Additionally, you will have the opportunity to be involved with model deployment, automation & CI/CD. You will also be deploying these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation. Key Responsibilities Model Deployment: Take trained AI/ML models and package them into deployable artefacts (e.g., Docker images). Kubernetes Orchestration: Deploy these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation. Automation & CI/CD: Build pipelines for automated deployment, testing, and monitoring of models. Environment Management: Handle containerisation (Docker), networking, and configuration for production environments. Monitoring & Logging: Implement tools to track model performance, resource usage, and system health. Skills and Experience Have research or practical experience with machine learning engineering and artificial intelligence Experience using the following: Python, Kubernetes, Docker. Experience using CI/CD Tools: Jenkins, GitHub Actions, or Azure DevOps. Experience using Cloud Platforms: AWS, Azure, or GCP. Basic Machine Learning Knowledge: Understanding of how models work to troubleshoot deployment issues. Great attention to detail Analytical mindset and uses a methodological approach to complete tasks. Resilient Confident, professional, and able to work effectively with multiple teams. You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation, initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset! If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Adecco Emerging talent is an employment consultancy and operates as an equal opportunities' employer.
Are you passionate about bridging development and operations to deliver seamless software solutions? Do you thrive in creating automated CI/CD pipelines and managing cloud infrastructure? What are the benefits? Competitive salary Career development opportunities Become a member of an Employee-owned trus Cycle to work scheme Option to buy additional leave What are your key responsibilities? Design, build, and maintain automated CI/CD pipelines for rapid and reliable releases Develop scripts and tools (e.g., Ansible) to automate operational tasks and infrastructure provisioning Implement monitoring and alerting systems to ensure application health and performance Manage infrastructure across on-premises and cloud environments (AWS, Azure) Ensure security compliance and implement best practices for applications and infrastructure Collaborate with internal teams and stakeholders to streamline development and deployment Troubleshoot technical issues and provide support during incidents Continuously improve processes and adopt DevOps best practices What are we looking for? Bachelor's degree in Computer Science or related field 3+ years of experience in DevOps, Infrastructure Engineering, or Site Reliability Engineering Strong Linux system administration and networking skills Experience with Docker and containerised deployments Familiarity with PostgreSQL database management and performance tuning Knowledge of backup/DR, load testing, and server hardening Apply now to be part of our growing team!
Feb 05, 2026
Full time
Are you passionate about bridging development and operations to deliver seamless software solutions? Do you thrive in creating automated CI/CD pipelines and managing cloud infrastructure? What are the benefits? Competitive salary Career development opportunities Become a member of an Employee-owned trus Cycle to work scheme Option to buy additional leave What are your key responsibilities? Design, build, and maintain automated CI/CD pipelines for rapid and reliable releases Develop scripts and tools (e.g., Ansible) to automate operational tasks and infrastructure provisioning Implement monitoring and alerting systems to ensure application health and performance Manage infrastructure across on-premises and cloud environments (AWS, Azure) Ensure security compliance and implement best practices for applications and infrastructure Collaborate with internal teams and stakeholders to streamline development and deployment Troubleshoot technical issues and provide support during incidents Continuously improve processes and adopt DevOps best practices What are we looking for? Bachelor's degree in Computer Science or related field 3+ years of experience in DevOps, Infrastructure Engineering, or Site Reliability Engineering Strong Linux system administration and networking skills Experience with Docker and containerised deployments Familiarity with PostgreSQL database management and performance tuning Knowledge of backup/DR, load testing, and server hardening Apply now to be part of our growing team!
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £28,000-£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply
Feb 05, 2026
Full time
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £28,000-£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply
Full Stack Developer / Engineer (.Net Core AWS React) Sunderland / WFH to £55k Join a growing games and gambling platform as a Full Stack Developer, building real-time paymentsystems and integrations that handle high transaction volumes. You'll work across the full stack-primarily backend with C# .Net Core, plus frontend with JavaScript / React within an AWS cloud environment using Docker, Terrafor
Feb 05, 2026
Full time
Full Stack Developer / Engineer (.Net Core AWS React) Sunderland / WFH to £55k Join a growing games and gambling platform as a Full Stack Developer, building real-time paymentsystems and integrations that handle high transaction volumes. You'll work across the full stack-primarily backend with C# .Net Core, plus frontend with JavaScript / React within an AWS cloud environment using Docker, Terrafor
The SRE Observability Lead Engineer is a hands-on leader responsible for shaping and delivering the future of Observability across Services Technology. This role reports into the Head of SRE Services and sits within a small central enablement team. You will define the long-term vision, build and scale modern observability capabilities across business lines, and lead a small team of SREs delivering reusable observability services. This is a blended leadership and engineering role - the ideal candidate pairs strategic vision with the technical depth to resolve real-world telemetry challenges across on-prem, cloud, and container-based environments (ECS, Kubernetes, etc.). You'll work closely with architecture & other engineering functions to not only resolve common challenges affecting SREs aligned to LoBs, but will ensure observability is embedded as a non-functional requirement (NFR) for all new services going live. You will collaborate with platform and infrastructure teams to ensure enterprise-scale, not siloed solutions. You will also be responsible for managing a small, high-impact team of SREs based in your region. This role requires a comprehensive understanding of observability challenges across Services (Payments, Securities Services, Trade, Digital & Data) and the ability to influence outcomes at the enterprise level. Strong commercial awareness, technical credibility, and excellent communication skills are essential to negotiate internally, influence peers, and drive change. Some external communication may be necessary. Responsibilities Define and own the strategic vision and multi-year roadmap for Observability across Services Technology, aligned with enterprise reliability and production goals. Translate strategy into an actionable delivery plan in partnership with Services Architecture & Engineering function, delivering incremental, high-value milestones toward a unified, scalable observability architecture. Lead and mentor SREs across Services, fostering a technical growth and SRE mindset. Build and offer a suite of central observability services across LoBs - including standardized telemetry libraries, onboarding templates, dashboard packs, and alerting standards. Drive reusability and efficiency by creating common patterns and golden paths for observability adoption across critical client flows and platforms. Partner with infrastructure, CTO and other SMBF tooling teams, to ensure observability tooling is scalable, resilient, and avoids duplication ("cottage industries"). Work hands-on to troubleshoot telemetry and instrumentation issues across on-prem, cloud (AWS, GCP, etc.), and ECS/K-based environments. Collaborate closely with the architecture function to support implementation of observability NFRs in the SDLC, ensuring new apps go live with sufficient coverage and insight. Support SRE Communities of Practice (CoP) and foster strong relationships with SREs, developers, and platform leads across Services and beyond to accelerate adoption & promote SRE best practices like SLO adoption, Capacity Planning. Use Jira/Agile workflows to track and report on observability maturity across Services LoBs - coverage, adoption, and contribution to improved client experience. Remove inefficiencies and provide solutions to enable unified views of consolidated SLOs for critical E2E client journeys for Payments & other Services critical user journeys. Influence and align senior stakeholders across functions (applications, infrastructure, controls, and audit) to drive observability investment for critical client flows across Services. Represent Services in working groups to influence enterprise observability standards, ensuring feedback from Services is reflected. Lead people management responsibilities for your direct team, including management of headcount, goal setting, performance evaluation, compensation, and hiring. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Qualifications Relevant experience in Observability, SRE, Infrastructure Engineering, or Platform Architecture, including several years in senior leadership roles. Deep expertise in observability tools and stacks such as Grafana, Prometheus, OpenTelemetry, ELK, Splunk, and similar platforms. Strong hands-on experience across hybrid infrastructure, including on-prem, cloud (AWS, GCP, Azure), and container platforms (ECS, Kubernetes). Proven ability to design scalable telemetry and instrumentation strategies, resolve production observability gaps, and integrate them into large-scale systems. Experience leading teams and managing people across geographically distributed locations. Strong ability to influence platform, cloud, and engineering leaders to ensure observability tooling is built for reuse and scale. Deep understanding of SRE fundamentals, including SLIs, SLOs, error budgets, and telemetry-driven operations. Strong collaboration skills and experience working across federated teams, building consensus and delivering change. Ability to stay up to date with industry trends and apply them to improve internal tooling and design decisions. Excellent written and verbal communication skills; able to influence and articulate complex concepts to technical and non-technical audiences. Education Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Family: Applications Support Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. View Citi's EEO Policy Statement and the Know Your Rights poster.
Feb 05, 2026
Full time
The SRE Observability Lead Engineer is a hands-on leader responsible for shaping and delivering the future of Observability across Services Technology. This role reports into the Head of SRE Services and sits within a small central enablement team. You will define the long-term vision, build and scale modern observability capabilities across business lines, and lead a small team of SREs delivering reusable observability services. This is a blended leadership and engineering role - the ideal candidate pairs strategic vision with the technical depth to resolve real-world telemetry challenges across on-prem, cloud, and container-based environments (ECS, Kubernetes, etc.). You'll work closely with architecture & other engineering functions to not only resolve common challenges affecting SREs aligned to LoBs, but will ensure observability is embedded as a non-functional requirement (NFR) for all new services going live. You will collaborate with platform and infrastructure teams to ensure enterprise-scale, not siloed solutions. You will also be responsible for managing a small, high-impact team of SREs based in your region. This role requires a comprehensive understanding of observability challenges across Services (Payments, Securities Services, Trade, Digital & Data) and the ability to influence outcomes at the enterprise level. Strong commercial awareness, technical credibility, and excellent communication skills are essential to negotiate internally, influence peers, and drive change. Some external communication may be necessary. Responsibilities Define and own the strategic vision and multi-year roadmap for Observability across Services Technology, aligned with enterprise reliability and production goals. Translate strategy into an actionable delivery plan in partnership with Services Architecture & Engineering function, delivering incremental, high-value milestones toward a unified, scalable observability architecture. Lead and mentor SREs across Services, fostering a technical growth and SRE mindset. Build and offer a suite of central observability services across LoBs - including standardized telemetry libraries, onboarding templates, dashboard packs, and alerting standards. Drive reusability and efficiency by creating common patterns and golden paths for observability adoption across critical client flows and platforms. Partner with infrastructure, CTO and other SMBF tooling teams, to ensure observability tooling is scalable, resilient, and avoids duplication ("cottage industries"). Work hands-on to troubleshoot telemetry and instrumentation issues across on-prem, cloud (AWS, GCP, etc.), and ECS/K-based environments. Collaborate closely with the architecture function to support implementation of observability NFRs in the SDLC, ensuring new apps go live with sufficient coverage and insight. Support SRE Communities of Practice (CoP) and foster strong relationships with SREs, developers, and platform leads across Services and beyond to accelerate adoption & promote SRE best practices like SLO adoption, Capacity Planning. Use Jira/Agile workflows to track and report on observability maturity across Services LoBs - coverage, adoption, and contribution to improved client experience. Remove inefficiencies and provide solutions to enable unified views of consolidated SLOs for critical E2E client journeys for Payments & other Services critical user journeys. Influence and align senior stakeholders across functions (applications, infrastructure, controls, and audit) to drive observability investment for critical client flows across Services. Represent Services in working groups to influence enterprise observability standards, ensuring feedback from Services is reflected. Lead people management responsibilities for your direct team, including management of headcount, goal setting, performance evaluation, compensation, and hiring. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Qualifications Relevant experience in Observability, SRE, Infrastructure Engineering, or Platform Architecture, including several years in senior leadership roles. Deep expertise in observability tools and stacks such as Grafana, Prometheus, OpenTelemetry, ELK, Splunk, and similar platforms. Strong hands-on experience across hybrid infrastructure, including on-prem, cloud (AWS, GCP, Azure), and container platforms (ECS, Kubernetes). Proven ability to design scalable telemetry and instrumentation strategies, resolve production observability gaps, and integrate them into large-scale systems. Experience leading teams and managing people across geographically distributed locations. Strong ability to influence platform, cloud, and engineering leaders to ensure observability tooling is built for reuse and scale. Deep understanding of SRE fundamentals, including SLIs, SLOs, error budgets, and telemetry-driven operations. Strong collaboration skills and experience working across federated teams, building consensus and delivering change. Ability to stay up to date with industry trends and apply them to improve internal tooling and design decisions. Excellent written and verbal communication skills; able to influence and articulate complex concepts to technical and non-technical audiences. Education Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Family: Applications Support Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. View Citi's EEO Policy Statement and the Know Your Rights poster.
FTE/FTC As a Site Reliability Engineer (SRE), you'll help build a meaningful engineering discipline, combining software and systems to develop creative engineering solutions to operations problems. Much of our support and software development focuses on optimizing existing systems, building infrastructure, and reducing work through automation. you'll join a team of curious problem solvers with a diverse set of perspectives who are thinking big and taking risks. In this environment, you'll take the lead on relevant projects, supported by an organization that provides the support and mentorship you need to learn and grow. As an SRE, you'll be focused on running better production applications and systems. Job Responsibilities Design, code, test, and deliver software to automate manual operational work Troubleshoot priority incidents, facilitate blameless post-mortems and ensure permanent closure of incidents Engage with development team throughout the life cycle to help develop software for reliability and scale, ensuring minimal refactoring or changes Identify application patterns and analytics in support of better service level objectives Design self-healing and resiliency patterns Design automated software and product upgrades, change management, and release management solutions Coach or manage teams as applicable Participate in the 24x7 support coverage as needed Required qualifications, capabilities, and skills Bachelors degree or equivalent experience in software engineering discipline Exposure to tools related to CI/CD, Application Resiliency, and Security Exposure to microservice architecture, AWS and Containers Emerging knowledge of software applications and technical processes within a technical discipline, specifically building out cloud native solutions (AWS). Working knowledge of infrastructure components (eg Routers, load balancers, cloud products, container systems, compute, storage, and networks) Excellent debugging and troubleshooting skills
Feb 05, 2026
FTE/FTC As a Site Reliability Engineer (SRE), you'll help build a meaningful engineering discipline, combining software and systems to develop creative engineering solutions to operations problems. Much of our support and software development focuses on optimizing existing systems, building infrastructure, and reducing work through automation. you'll join a team of curious problem solvers with a diverse set of perspectives who are thinking big and taking risks. In this environment, you'll take the lead on relevant projects, supported by an organization that provides the support and mentorship you need to learn and grow. As an SRE, you'll be focused on running better production applications and systems. Job Responsibilities Design, code, test, and deliver software to automate manual operational work Troubleshoot priority incidents, facilitate blameless post-mortems and ensure permanent closure of incidents Engage with development team throughout the life cycle to help develop software for reliability and scale, ensuring minimal refactoring or changes Identify application patterns and analytics in support of better service level objectives Design self-healing and resiliency patterns Design automated software and product upgrades, change management, and release management solutions Coach or manage teams as applicable Participate in the 24x7 support coverage as needed Required qualifications, capabilities, and skills Bachelors degree or equivalent experience in software engineering discipline Exposure to tools related to CI/CD, Application Resiliency, and Security Exposure to microservice architecture, AWS and Containers Emerging knowledge of software applications and technical processes within a technical discipline, specifically building out cloud native solutions (AWS). Working knowledge of infrastructure components (eg Routers, load balancers, cloud products, container systems, compute, storage, and networks) Excellent debugging and troubleshooting skills
