An excellent opportunity for an Office Administrator to join a well-established company based in Maidstone, Kent. Role Overview: This is a permanent, part-time Office Administrator position, working 20 hours per week from Monday to Friday. Working Pattern: The role is initially offered as 4 hours per day, Monday to Friday, with a mix of morning and afternoon hours to support business needs. There may be scope to increase hours in the future, subject to business requirements. Salary: Competitive, depending on experience, at £15.00 per hour. Location: Maidstone, Kent. The Company: Delivering bespoke security solutions we aim to provide unrivalled safety through security. The company ethos and culture are to deliver the highest standards and values, tailored to private clients, whilst remaining committed to developing a class winning solutions whilst upholding traditional heraldic values. About the Role We are looking for an enthusiastic part time Office Administrator for 20 hours per week with excellent IT and customer care skills to support their management team. This is an office-based role. You will support the daily office procedures for the operations team and will act as a point of contact for all clients and employees, providing administrative support and managing their queries. You will be highly motivated, proactive and have a good sense of humour. You will have excellent organisation and communication skills, both verbal & written with high levels of attention to detail, a good use of initiative, and be able to work flexibly and prioritise workloads to meet specific deadlines. Main duties include: Managing shared inboxes and responding to routine enquiries. Preparing, formatting, and circulating reports, meeting notes, and presentations. Maintaining accurate records, databases, and filing systems (digital and physical). Scheduling and coordinating meetings, site visits, and team calendars. Monitoring and recording expenses against budgets. Assisting with supplier onboarding and maintaining supplier records. Supporting with quotes, tender documents, and contract administration. Tracking project progress and updating internal systems. Assisting with resource allocation and workforce scheduling. Liaising with engineers, subcontractors, and clients to coordinate activities. Monitoring deadlines and following up to ensure tasks are completed. Maintaining health & safety records, training logs, and compliance documents. Ensuring policies, procedures, and certifications are up to date. Preparing site access paperwork and permits as required. Acting as the first point of contact for internal queries. Supporting cross-team communication between operations, finance, and management. Preparing client updates or summaries on project status when required. Identifying areas where admin processes can be streamlined. Supporting implementation of new systems or tools for greater efficiency. You will have a good working knowledge of office equipment and office management tools and are ultimately able to ensure administrative activities run smoothly on a daily and long-term basis. Candidate Requirements Minimum 2 years' experience in an office administration or finance-focused support role. Confident working with numbers, and quotes. Business Administration qualification desirable. GCSEs including English and Maths (Grade C/4 or above). Accomplished in Microsoft Office, particularly Excel and Word and Xero. Highly organised with excellent attention to detail and a proactive work ethic. Strong written and verbal communication skills. Able to manage time effectively and prioritise tasks under pressure. What We're Looking For A professional and positive attitude with a sense of ownership and accountability. A methodical, disciplined approach to managing finance processes. A team player who is equally comfortable working independently. Reliable, trustworthy, and able to handle sensitive information discreetly. Benefits Competitive salary. 20 days holiday + bank holidays (pro rata). Private Healthcare. Company contributory pension scheme. Pirkx membership for additional benefits and perks. If you feel that you have the relative skills/attributes to fulfil this role then please apply now! The employer fully supports Equality in Employment. All employment is decided based on qualifications, merit and business need.
Aug 24, 2026
Full time
An excellent opportunity for an Office Administrator to join a well-established company based in Maidstone, Kent. Role Overview: This is a permanent, part-time Office Administrator position, working 20 hours per week from Monday to Friday. Working Pattern: The role is initially offered as 4 hours per day, Monday to Friday, with a mix of morning and afternoon hours to support business needs. There may be scope to increase hours in the future, subject to business requirements. Salary: Competitive, depending on experience, at £15.00 per hour. Location: Maidstone, Kent. The Company: Delivering bespoke security solutions we aim to provide unrivalled safety through security. The company ethos and culture are to deliver the highest standards and values, tailored to private clients, whilst remaining committed to developing a class winning solutions whilst upholding traditional heraldic values. About the Role We are looking for an enthusiastic part time Office Administrator for 20 hours per week with excellent IT and customer care skills to support their management team. This is an office-based role. You will support the daily office procedures for the operations team and will act as a point of contact for all clients and employees, providing administrative support and managing their queries. You will be highly motivated, proactive and have a good sense of humour. You will have excellent organisation and communication skills, both verbal & written with high levels of attention to detail, a good use of initiative, and be able to work flexibly and prioritise workloads to meet specific deadlines. Main duties include: Managing shared inboxes and responding to routine enquiries. Preparing, formatting, and circulating reports, meeting notes, and presentations. Maintaining accurate records, databases, and filing systems (digital and physical). Scheduling and coordinating meetings, site visits, and team calendars. Monitoring and recording expenses against budgets. Assisting with supplier onboarding and maintaining supplier records. Supporting with quotes, tender documents, and contract administration. Tracking project progress and updating internal systems. Assisting with resource allocation and workforce scheduling. Liaising with engineers, subcontractors, and clients to coordinate activities. Monitoring deadlines and following up to ensure tasks are completed. Maintaining health & safety records, training logs, and compliance documents. Ensuring policies, procedures, and certifications are up to date. Preparing site access paperwork and permits as required. Acting as the first point of contact for internal queries. Supporting cross-team communication between operations, finance, and management. Preparing client updates or summaries on project status when required. Identifying areas where admin processes can be streamlined. Supporting implementation of new systems or tools for greater efficiency. You will have a good working knowledge of office equipment and office management tools and are ultimately able to ensure administrative activities run smoothly on a daily and long-term basis. Candidate Requirements Minimum 2 years' experience in an office administration or finance-focused support role. Confident working with numbers, and quotes. Business Administration qualification desirable. GCSEs including English and Maths (Grade C/4 or above). Accomplished in Microsoft Office, particularly Excel and Word and Xero. Highly organised with excellent attention to detail and a proactive work ethic. Strong written and verbal communication skills. Able to manage time effectively and prioritise tasks under pressure. What We're Looking For A professional and positive attitude with a sense of ownership and accountability. A methodical, disciplined approach to managing finance processes. A team player who is equally comfortable working independently. Reliable, trustworthy, and able to handle sensitive information discreetly. Benefits Competitive salary. 20 days holiday + bank holidays (pro rata). Private Healthcare. Company contributory pension scheme. Pirkx membership for additional benefits and perks. If you feel that you have the relative skills/attributes to fulfil this role then please apply now! The employer fully supports Equality in Employment. All employment is decided based on qualifications, merit and business need.
The Role: We are looking for a Cloud Security Engineer with experience on AWS, to join our growing team. The successful candidate will have an essential role in ensuring the information security of our business. You will be working in a team that is designing and building resilient and secure Cloud environments that proactively prevent security threats. You will typically have industry accreditations like AWS Certified Security - Specialty The main responsibilities of the position include: Design and build resilient Cloud infrastructures that are protected against security threats Develop and assess Cloud security solutions to secure systems, databases and networks Conduct assessment and make recommendations to ensure that appropriate controls are in place Gain insight into security incidents and threats by monitoring/analyzing logs and performing vulnerability assessments Participate in efforts that shape the company's security policies, procedures and standards for use in Cloud environments Create technical and managerial level security reports for Cloud-based applications and infrastructure Implement and tests network and security Disaster Recovery procedures to ensure business continuity Monitor use of sensitive data and regulates access to safeguard information Ensure the confidentiality and integrity of data during transmission, storage and processing Review violations of security procedures and discusses procedures with violators to ensure they are not repeated Provide support to end users regarding network and security related issues Main requirements: BSc/MSc in Information Security or any other related field Minimum 1 year working experience in Information Security, with proven focus in Cloud Security Deep technical knowledge of Amazon Web Services (AWS). Expertise in Microsoft Azure and Oracle Cloud will be considered an advantage Hands-on experience on AWS services such as IAM, Organizations, SSO, VPC, Transit Gateway, S3, EC2, RDS, ELB, CloudTrail, Config, Inspector, GuardDuty, WAF, etc Clear understanding of current threats to Cloud infrastructure and advanced knowledge of securing such environments Experience in DevSecOps methodologies is considered a plus Experience building and deploying applications to the cloud (AWS, Azure, etc.) using Infrastructure as Code tools such as Terraform is considered a plus Expertise in container security is considered a plus Ability to work autonomously with minimum supervision and to integrate well within a team Excellent problem solving and analytical skills Ability to quickly learn new technologies in depth Benefit from: Attractive remuneration Food allowance Intellectually stimulating work environment Continuous personal development and international training opportunities
Aug 24, 2026
Full time
The Role: We are looking for a Cloud Security Engineer with experience on AWS, to join our growing team. The successful candidate will have an essential role in ensuring the information security of our business. You will be working in a team that is designing and building resilient and secure Cloud environments that proactively prevent security threats. You will typically have industry accreditations like AWS Certified Security - Specialty The main responsibilities of the position include: Design and build resilient Cloud infrastructures that are protected against security threats Develop and assess Cloud security solutions to secure systems, databases and networks Conduct assessment and make recommendations to ensure that appropriate controls are in place Gain insight into security incidents and threats by monitoring/analyzing logs and performing vulnerability assessments Participate in efforts that shape the company's security policies, procedures and standards for use in Cloud environments Create technical and managerial level security reports for Cloud-based applications and infrastructure Implement and tests network and security Disaster Recovery procedures to ensure business continuity Monitor use of sensitive data and regulates access to safeguard information Ensure the confidentiality and integrity of data during transmission, storage and processing Review violations of security procedures and discusses procedures with violators to ensure they are not repeated Provide support to end users regarding network and security related issues Main requirements: BSc/MSc in Information Security or any other related field Minimum 1 year working experience in Information Security, with proven focus in Cloud Security Deep technical knowledge of Amazon Web Services (AWS). Expertise in Microsoft Azure and Oracle Cloud will be considered an advantage Hands-on experience on AWS services such as IAM, Organizations, SSO, VPC, Transit Gateway, S3, EC2, RDS, ELB, CloudTrail, Config, Inspector, GuardDuty, WAF, etc Clear understanding of current threats to Cloud infrastructure and advanced knowledge of securing such environments Experience in DevSecOps methodologies is considered a plus Experience building and deploying applications to the cloud (AWS, Azure, etc.) using Infrastructure as Code tools such as Terraform is considered a plus Expertise in container security is considered a plus Ability to work autonomously with minimum supervision and to integrate well within a team Excellent problem solving and analytical skills Ability to quickly learn new technologies in depth Benefit from: Attractive remuneration Food allowance Intellectually stimulating work environment Continuous personal development and international training opportunities
Traffic Engineer Location: West Midlands Contract: Temporary Working Pattern: Hybrid / Agile, with site visits as required About the Role We are seeking an experienced Traffic Engineer to support the delivery of transport capital projects and traffic management schemes from concept through to design, consultation and implementation. Working under the direction of a Traffic Engineering Lead, you will undertake technical assessments, site investigations, project administration and stakeholder engagement to support effective delivery. Key Responsibilities Support the delivery of traffic engineering and transport projects, including studies, investigations, design, consultation and site implementation. Undertake technical assessments, site reviews and risk assessments, developing practical engineering recommendations. Prepare technical reports, briefing notes and project documentation, while maintaining accurate plans, registers, databases and records. Support the supervision of contracts and consultants, including monitoring costs, budgets and project progress. Liaise with contractors, consultants, internal teams, elected members, partners and members of the public regarding highway and traffic proposals. Respond to customer enquiries and complaints, providing appropriate technical advice and carrying out investigations where required. Apply relevant legislation, regulations, technical guidance and Codes of Practice, ensuring health, safety and compliance requirements are maintained. Work independently, prioritise competing workloads and deliver projects to agreed deadlines while promoting efficient use of resources and best value. Essential Requirements Relevant experience in traffic, highway or transport engineering, preferably within a public sector environment. Practical experience delivering traffic management schemes or transport capital projects. Good knowledge of relevant highway and traffic legislation, standards, regulations and technical guidance. Experience undertaking technical investigations, site assessments and producing engineering recommendations and reports. Strong stakeholder management and communication skills, with the ability to explain technical matters clearly. Experience working with contractors, consultants and multidisciplinary teams. Strong organisational skills with the ability to manage competing priorities and work independently. Good understanding of health and safety, risk assessment and professional compliance requirements. Apply This is an excellent opportunity for a Traffic Engineer to contribute to a varied programme of transport infrastructure and traffic management projects. Candidates should demonstrate strong technical capability, practical project experience and the ability to work effectively with a wide range of stakeholders. Apply now with your CV and relevant traffic or highway engineering experience.
Aug 24, 2026
Full time
Traffic Engineer Location: West Midlands Contract: Temporary Working Pattern: Hybrid / Agile, with site visits as required About the Role We are seeking an experienced Traffic Engineer to support the delivery of transport capital projects and traffic management schemes from concept through to design, consultation and implementation. Working under the direction of a Traffic Engineering Lead, you will undertake technical assessments, site investigations, project administration and stakeholder engagement to support effective delivery. Key Responsibilities Support the delivery of traffic engineering and transport projects, including studies, investigations, design, consultation and site implementation. Undertake technical assessments, site reviews and risk assessments, developing practical engineering recommendations. Prepare technical reports, briefing notes and project documentation, while maintaining accurate plans, registers, databases and records. Support the supervision of contracts and consultants, including monitoring costs, budgets and project progress. Liaise with contractors, consultants, internal teams, elected members, partners and members of the public regarding highway and traffic proposals. Respond to customer enquiries and complaints, providing appropriate technical advice and carrying out investigations where required. Apply relevant legislation, regulations, technical guidance and Codes of Practice, ensuring health, safety and compliance requirements are maintained. Work independently, prioritise competing workloads and deliver projects to agreed deadlines while promoting efficient use of resources and best value. Essential Requirements Relevant experience in traffic, highway or transport engineering, preferably within a public sector environment. Practical experience delivering traffic management schemes or transport capital projects. Good knowledge of relevant highway and traffic legislation, standards, regulations and technical guidance. Experience undertaking technical investigations, site assessments and producing engineering recommendations and reports. Strong stakeholder management and communication skills, with the ability to explain technical matters clearly. Experience working with contractors, consultants and multidisciplinary teams. Strong organisational skills with the ability to manage competing priorities and work independently. Good understanding of health and safety, risk assessment and professional compliance requirements. Apply This is an excellent opportunity for a Traffic Engineer to contribute to a varied programme of transport infrastructure and traffic management projects. Candidates should demonstrate strong technical capability, practical project experience and the ability to work effectively with a wide range of stakeholders. Apply now with your CV and relevant traffic or highway engineering experience.
Senior AI Risk Technical Advisory Lead Location London Business Area Legal, Compliance, and Risk Ref # Description & Requirements Description The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast, while keeping up the quality and accuracy we are known for. It is what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us. You can do amazing work here. Work you could not do anywhere else. It is up to you to make it happen. Bloomberg's Chief Risk Office plays a central role in ensuring that innovation is pursued responsibly across our global operations. As AI becomes increasingly embedded in Bloomberg's products, platforms, internal workflows, and client-facing capabilities, the Chief Risk Office is building practical advisory capabilities that help technical and product teams identify, assess, mitigate, and monitor AI risks throughout the lifecycle. What's the role? We are seeking a Senior AI Risk Technical Advisory Lead to serve as a senior subject matter expert for AI risk and responsible AI across Bloomberg. This person will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data-related controls, risk assessments of AI systems, risk/control evaluation of third-party AI solutions, and AI regulatory expectations (e.g., EU AI Act) and industry standards. This role is designed for a senior practitioner who can bridge technical AI implementation and enterprise risk oversight. The person may have a matrixed or dual-reporting relationship to a technology or product-facing risk advisory leader to ensure strong connectivity with AI builders and front-line advisory teams, while maintaining alignment with the Chief Risk Office's enterprise AI risk team. We'll trust you to: Technical AI Risk Advisory Provide senior-level technical advisory support for AI and generative AI use cases across Bloomberg, including product, platform, internal tooling, automation, and third-party AI solutions. Evaluate AI risks related to bias, explainability, hallucination, robustness, model drift, data leakage, privacy, security, intellectual property, misuse, transparency, and human oversight. Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based on use case, data sensitivity, model type, deployment context, and regulatory exposure. Review complex or higher-risk AI use cases and provide risk-based recommendations to governance forums and senior stakeholders. Help define practical technical standards for responsible AI development, testing, validation, deployment, monitoring, and retirement. Framework and Control Development Partner with the Head of AI Risk Management to mature Bloomberg's AI risk management framework, including classification, risk tiering, assessment methodology, control expectations, and monitoring standards. Translate external frameworks and regulatory expectations into practical internal control guidance for technical and product teams. Develop reusable advisory materials, playbooks, review criteria, technical checklists, and model documentation expectations. Support the development of risk indicators and monitoring approaches for AI systems, including performance, drift, hallucination, bias, security, user feedback, and issue trends. Cross-Functional Partnership Partner deeply with Technology, Product, Data, Legal, Compliance, CISO, Privacy, Procurement, and business teams to address emerging AI risks. Facilitate technical risk discussions and help resolve questions where product goals, engineering constraints, legal obligations, and risk appetite intersect. Serve as a senior escalation point for complex AI risk questions and emerging responsible AI issues. Support AI risk governance forums, executive updates, regulatory inquiries, and internal reviews. Enablement and Thought Leadership Serve as a trusted internal subject matter expert on responsible AI, technical AI risk, and AI control design. Develop and deliver training, guidance, and awareness materials for technical and non-technical stakeholders. Monitor developments in AI technology, AI regulation, industry standards, and emerging risk practices, and translate them into actionable program enhancements. You'll need to have: 10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI. 4+ years of experience directly focused on AI/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability to assess technical AI risks and recommend practical controls in complex enterprise environments. Hands-on familiarity with generative AI platforms and tools, open-source models, vector databases, or related AI infrastructure. Experience partnering with engineering, product, data science, legal, compliance, privacy, security, and risk stakeholders. Strong understanding of privacy, security, data governance, and regulatory issues relevant to AI systems. Excellent communication skills, including the ability to explain technical AI risks to senior stakeholders and translate governance expectations for technical teams. We'd love to see: Experience working directly with AI/ML development teams on production systems. Experience in financial services, market data, media, enterprise technology, cloud, or other data-intensive environments. Familiarity with NIST AI RMF, ISO/IEC 23894, EU AI Act, OECD AI Principles, model risk management, or responsible AI frameworks. Experience with AI red teaming, model evaluation, bias testing, explainability tooling, monitoring tools, MLOps, LLMOps, or AI governance platforms. Experience advising on third-party AI tools, enterprise AI platforms, or AI-enabled vendor solutions. Certifications or advanced training in AI/ML, data science, privacy, information security, risk, or compliance. A pragmatic approach to enabling innovation while managing risk. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Aug 24, 2026
Full time
Senior AI Risk Technical Advisory Lead Location London Business Area Legal, Compliance, and Risk Ref # Description & Requirements Description The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast, while keeping up the quality and accuracy we are known for. It is what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us. You can do amazing work here. Work you could not do anywhere else. It is up to you to make it happen. Bloomberg's Chief Risk Office plays a central role in ensuring that innovation is pursued responsibly across our global operations. As AI becomes increasingly embedded in Bloomberg's products, platforms, internal workflows, and client-facing capabilities, the Chief Risk Office is building practical advisory capabilities that help technical and product teams identify, assess, mitigate, and monitor AI risks throughout the lifecycle. What's the role? We are seeking a Senior AI Risk Technical Advisory Lead to serve as a senior subject matter expert for AI risk and responsible AI across Bloomberg. This person will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data-related controls, risk assessments of AI systems, risk/control evaluation of third-party AI solutions, and AI regulatory expectations (e.g., EU AI Act) and industry standards. This role is designed for a senior practitioner who can bridge technical AI implementation and enterprise risk oversight. The person may have a matrixed or dual-reporting relationship to a technology or product-facing risk advisory leader to ensure strong connectivity with AI builders and front-line advisory teams, while maintaining alignment with the Chief Risk Office's enterprise AI risk team. We'll trust you to: Technical AI Risk Advisory Provide senior-level technical advisory support for AI and generative AI use cases across Bloomberg, including product, platform, internal tooling, automation, and third-party AI solutions. Evaluate AI risks related to bias, explainability, hallucination, robustness, model drift, data leakage, privacy, security, intellectual property, misuse, transparency, and human oversight. Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based on use case, data sensitivity, model type, deployment context, and regulatory exposure. Review complex or higher-risk AI use cases and provide risk-based recommendations to governance forums and senior stakeholders. Help define practical technical standards for responsible AI development, testing, validation, deployment, monitoring, and retirement. Framework and Control Development Partner with the Head of AI Risk Management to mature Bloomberg's AI risk management framework, including classification, risk tiering, assessment methodology, control expectations, and monitoring standards. Translate external frameworks and regulatory expectations into practical internal control guidance for technical and product teams. Develop reusable advisory materials, playbooks, review criteria, technical checklists, and model documentation expectations. Support the development of risk indicators and monitoring approaches for AI systems, including performance, drift, hallucination, bias, security, user feedback, and issue trends. Cross-Functional Partnership Partner deeply with Technology, Product, Data, Legal, Compliance, CISO, Privacy, Procurement, and business teams to address emerging AI risks. Facilitate technical risk discussions and help resolve questions where product goals, engineering constraints, legal obligations, and risk appetite intersect. Serve as a senior escalation point for complex AI risk questions and emerging responsible AI issues. Support AI risk governance forums, executive updates, regulatory inquiries, and internal reviews. Enablement and Thought Leadership Serve as a trusted internal subject matter expert on responsible AI, technical AI risk, and AI control design. Develop and deliver training, guidance, and awareness materials for technical and non-technical stakeholders. Monitor developments in AI technology, AI regulation, industry standards, and emerging risk practices, and translate them into actionable program enhancements. You'll need to have: 10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI. 4+ years of experience directly focused on AI/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability to assess technical AI risks and recommend practical controls in complex enterprise environments. Hands-on familiarity with generative AI platforms and tools, open-source models, vector databases, or related AI infrastructure. Experience partnering with engineering, product, data science, legal, compliance, privacy, security, and risk stakeholders. Strong understanding of privacy, security, data governance, and regulatory issues relevant to AI systems. Excellent communication skills, including the ability to explain technical AI risks to senior stakeholders and translate governance expectations for technical teams. We'd love to see: Experience working directly with AI/ML development teams on production systems. Experience in financial services, market data, media, enterprise technology, cloud, or other data-intensive environments. Familiarity with NIST AI RMF, ISO/IEC 23894, EU AI Act, OECD AI Principles, model risk management, or responsible AI frameworks. Experience with AI red teaming, model evaluation, bias testing, explainability tooling, monitoring tools, MLOps, LLMOps, or AI governance platforms. Experience advising on third-party AI tools, enterprise AI platforms, or AI-enabled vendor solutions. Certifications or advanced training in AI/ML, data science, privacy, information security, risk, or compliance. A pragmatic approach to enabling innovation while managing risk. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Senior Software Engineer Position Description Join CGI as a Senior Software Engineer and help shape, strengthen and evolve critical digital services that clients rely on every day. You'll have the opportunity to take ownership of complex technical challenges, turn insight into lasting improvements and deliver enhancements that increase reliability, resilience and performance. Working alongside experienced engineering, platform, QA and client teams, you'll have the freedom to bring forward new ideas while being supported by a collaborative community of experts. This is an opportunity to combine hands-on engineering with meaningful service improvement, helping CGI deliver secure, high-value digital solutions while developing your expertise across modern applications and cloud technologies. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will provide senior engineering expertise across a portfolio of critical digital services, taking ownership of complex live-service challenges from investigation through to permanent resolution. You'll design and deliver application enhancements, resolve defects and help ensure services remain secure, reliable, resilient and maintainable. Working collaboratively with project delivery, platform engineering, QA and client stakeholders, you'll have scope to introduce new ideas, improve engineering practices and reduce technical debt. You'll also support and mentor colleagues, sharing your expertise while benefiting from the knowledge and support of CGI's wider technical community. • Investigate complex production incidents, perform root cause analysis and implement lasting corrective actions. • Design, build, test and deploy application enhancements and defect fixes across .NET, Angular and AWS environments. • Enhance application performance, security, reliability and resilience while identifying opportunities to reduce technical debt. • Improve CI/CD, deployment processes, monitoring, alerting and observability to increase operational efficiency. • Contribute to releases, deployments, environment management and operational readiness alongside multidisciplinary teams. • Develop technical documentation and runbooks, share knowledge and provide technical guidance to colleagues. Required qualifications to be successful in this role You'll bring significant senior software engineering experience, ideally gained within a live-service, support or maintenance environment. You'll combine strong .NET and cloud engineering expertise with the ability to troubleshoot complex issues across applications, infrastructure and integrations. Strong communication and problem-solving skills will enable you to work effectively with both technical teams and stakeholders. • Extensive experience developing and supporting enterprise web applications in live or production environments. • Strong proficiency in .NET application and API development. • Strong experience with AWS and cloud-hosted applications and services. • Experience with Angular or comparable modern front-end technologies. • Strong knowledge of relational databases, SQL and data modelling. • Proven experience with CI/CD pipelines, source control and automated deployments. • Demonstrable ability to diagnose complex production issues spanning application, infrastructure and integration layers. • Knowledge of monitoring, logging and observability tooling. • Experience working within Agile delivery teams and familiarity with Jira or similar tooling. • Strong understanding of security, performance, reliability and resilience practices for cloud-hosted applications. • Effective stakeholder communication and collaborative problem-solving skills. • ITIL-aligned service experience would be advantageous. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team-one of the largest IT and business consulting services firms in the world.
Aug 24, 2026
Full time
Senior Software Engineer Position Description Join CGI as a Senior Software Engineer and help shape, strengthen and evolve critical digital services that clients rely on every day. You'll have the opportunity to take ownership of complex technical challenges, turn insight into lasting improvements and deliver enhancements that increase reliability, resilience and performance. Working alongside experienced engineering, platform, QA and client teams, you'll have the freedom to bring forward new ideas while being supported by a collaborative community of experts. This is an opportunity to combine hands-on engineering with meaningful service improvement, helping CGI deliver secure, high-value digital solutions while developing your expertise across modern applications and cloud technologies. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will provide senior engineering expertise across a portfolio of critical digital services, taking ownership of complex live-service challenges from investigation through to permanent resolution. You'll design and deliver application enhancements, resolve defects and help ensure services remain secure, reliable, resilient and maintainable. Working collaboratively with project delivery, platform engineering, QA and client stakeholders, you'll have scope to introduce new ideas, improve engineering practices and reduce technical debt. You'll also support and mentor colleagues, sharing your expertise while benefiting from the knowledge and support of CGI's wider technical community. • Investigate complex production incidents, perform root cause analysis and implement lasting corrective actions. • Design, build, test and deploy application enhancements and defect fixes across .NET, Angular and AWS environments. • Enhance application performance, security, reliability and resilience while identifying opportunities to reduce technical debt. • Improve CI/CD, deployment processes, monitoring, alerting and observability to increase operational efficiency. • Contribute to releases, deployments, environment management and operational readiness alongside multidisciplinary teams. • Develop technical documentation and runbooks, share knowledge and provide technical guidance to colleagues. Required qualifications to be successful in this role You'll bring significant senior software engineering experience, ideally gained within a live-service, support or maintenance environment. You'll combine strong .NET and cloud engineering expertise with the ability to troubleshoot complex issues across applications, infrastructure and integrations. Strong communication and problem-solving skills will enable you to work effectively with both technical teams and stakeholders. • Extensive experience developing and supporting enterprise web applications in live or production environments. • Strong proficiency in .NET application and API development. • Strong experience with AWS and cloud-hosted applications and services. • Experience with Angular or comparable modern front-end technologies. • Strong knowledge of relational databases, SQL and data modelling. • Proven experience with CI/CD pipelines, source control and automated deployments. • Demonstrable ability to diagnose complex production issues spanning application, infrastructure and integration layers. • Knowledge of monitoring, logging and observability tooling. • Experience working within Agile delivery teams and familiarity with Jira or similar tooling. • Strong understanding of security, performance, reliability and resilience practices for cloud-hosted applications. • Effective stakeholder communication and collaborative problem-solving skills. • ITIL-aligned service experience would be advantageous. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team-one of the largest IT and business consulting services firms in the world.
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Aug 24, 2026
Full time
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lead AI Engineer Leeds or Edinburgh 72,000 - 108,000 Your new role The Data, Technology and Innovation (DTI) division enables the group to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the group), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Experience needed Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Aug 24, 2026
Full time
Lead AI Engineer Leeds or Edinburgh 72,000 - 108,000 Your new role The Data, Technology and Innovation (DTI) division enables the group to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the group), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Experience needed Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details
Aug 24, 2026
Full time
Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details
Senior Specialist Solutions Engineer (AI/ML) Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team). The impact you will have Lead the architectural design of production grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end to end pipeline creation and optimization (training/inference) to seamless integration with cloud native services. Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real world examples. Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for Experienced, technical, customer facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer facing technical role as a subject matter expert (SME) in a pre sales environment. Pre sales or post sales experience working with external clients across a variety of industry markets. Data Science/ML Skills Hands on industry ML experience in at least one of the following: ML Engineer: Develop production grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands on experience working with Distributed Spark based systems. Experience communicating and teaching technical concepts to non technical and technical audiences alike. Passion for collaboration, life long learning, and driving our values through ML. Preferred 2+ years customer facing experience in a pre sales or post sales role. Preferred Experience working with Apache Spark to process large scale distributed datasets. Can meet expectations for technical training and role specific outcomes within 3 months of hire. Can travel up to 30% when needed. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Aug 24, 2026
Full time
Senior Specialist Solutions Engineer (AI/ML) Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team). The impact you will have Lead the architectural design of production grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end to end pipeline creation and optimization (training/inference) to seamless integration with cloud native services. Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real world examples. Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for Experienced, technical, customer facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer facing technical role as a subject matter expert (SME) in a pre sales environment. Pre sales or post sales experience working with external clients across a variety of industry markets. Data Science/ML Skills Hands on industry ML experience in at least one of the following: ML Engineer: Develop production grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands on experience working with Distributed Spark based systems. Experience communicating and teaching technical concepts to non technical and technical audiences alike. Passion for collaboration, life long learning, and driving our values through ML. Preferred 2+ years customer facing experience in a pre sales or post sales role. Preferred Experience working with Apache Spark to process large scale distributed datasets. Can meet expectations for technical training and role specific outcomes within 3 months of hire. Can travel up to 30% when needed. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Morela is proud to be supporting a private, entrepreneurial family-owned real estate group with a multi-billion-pound property portfolio and a private credit book. Long established, cash generative, and quietly one of the larger privately held property businesses in the country. Not a name you will see on job boards, because they have never needed to advertise. And, remarkably, no data platform. Property management, asset management and accounting all sit in separate systems that do not talk to each other, which means nobody in the business has a single, trusted view of what it owns. They could have bought something off the shelf. They could have handed it to a consultancy. Instead, they have decided to build it properly, in-house, and this is the person who builds it. This is a blank page. You choose the stack. You design the model. You decide what gets built and what gets bought. There is no legacy platform to inherit and no architect sitting above you telling you how it is done. Because the business is family-owned, it actually moves: no steering committee, no six-week approval cycle, no business case to defend three times before you write a line of code. You will sit alongside the principals and the operating teams, so what you build goes live and gets used that week. Get the foundation right and the question that follows is a genuinely interesting one: whether the tooling you have built internally becomes a product in its own right. YOUR ROLE Set the direction. Identify and translate the organisation's highest-value problems into a technical roadmap, balancing a robust platform architecture against rapid delivery. Build the foundation. Design the data model that operates as a single source of truth, and the pipelines that store and reconcile properties, entities, leases, tenants, projects, invoices, cash flows, valuations and documents across multiple sources. Connect the estate. Build integrations with third-party vendors across APIs, webhooks, direct database access and scheduled ingestion. Kill the manual work. Eliminate repetitive manual work across internal workflows: data collection, validation, approvals, reconciliations, reminders, document generation and reporting. Ship what people use. Deliver dashboards, reports, alerts and internal applications that principals and operating teams can trust and actually use. Put AI to work properly. Build LLM pipelines for extraction, classification, retrieval and workflow support, with evaluations, human-in-the-loop oversight and auditability, so it is explainable rather than a black box. Set the bar. Set the standards for security, testing, deployment, monitoring and documentation, manage selected vendors, build the engineering culture, and mentor the junior data engineer. WHAT WE ARE LOOKING FOR A strong record of building and operating reliable pipelines, integrations, data models or platforms that serve real users and business-critical decisions. Strong programming fundamentals in Python, TypeScript and SQL at expert working level, covering testing, performance and maintainability, with the judgement to review others' code and hold a high-quality bar. Confidence building robust REST APIs, working with relational databases such as PostgreSQL, modelling data, running ETL/ELT pipelines, and making pragmatic build-versus-buy calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool use and guardrails. Experience taking a platform from prototype to production or working in an early-stage environment with a rapidly evolving product. Mature judgement handling financially sensitive, personal and commercially confidential information in a regulated industry. The ability to set direction, mentor a junior colleague and introduce engineering discipline while staying practical, fast and close to end users. Curiosity about how internal tools can be abstracted and generalised into a product. HELPFUL, BUT NOT ESSENTIAL Proptech, fintech, accounting technology, asset management, construction, private investment operations or another data-intensive regulated environment. Modern data warehouses, transformation and orchestration tooling, business intelligence platforms and internal web applications. Document processing, OCR, search and retrieval systems, workflow engines or human-in-the-loop review tools. UK data protection, information security and operational resilience principles. WHY THIS ONE IS WORTH A CONVERSATION Scope most senior engineers never get. The platform is yours to define, not someone else's to maintain. Direct access to the people who decide, without the layers that slow good engineering down. Real AI work with real constraints, where auditability and evaluation matter as much as the model. The stability of a long-established, cash-generative business, with the pace and the blank page of an early-stage one. THE PROCESS Morela is supporting this search and managing the process end to end. If the brief resonates, get in touch for a confidential conversation before you commit to anything; the client is named only once you are happy to be represented. Appointment will be subject to appropriate references, background checks and a confidentiality agreement. We welcome applicants from different backgrounds whose skills and evidence meet the requirements, and reasonable adjustments are available throughout the process. For immediate consideration email (url removed)
Aug 24, 2026
Full time
Morela is proud to be supporting a private, entrepreneurial family-owned real estate group with a multi-billion-pound property portfolio and a private credit book. Long established, cash generative, and quietly one of the larger privately held property businesses in the country. Not a name you will see on job boards, because they have never needed to advertise. And, remarkably, no data platform. Property management, asset management and accounting all sit in separate systems that do not talk to each other, which means nobody in the business has a single, trusted view of what it owns. They could have bought something off the shelf. They could have handed it to a consultancy. Instead, they have decided to build it properly, in-house, and this is the person who builds it. This is a blank page. You choose the stack. You design the model. You decide what gets built and what gets bought. There is no legacy platform to inherit and no architect sitting above you telling you how it is done. Because the business is family-owned, it actually moves: no steering committee, no six-week approval cycle, no business case to defend three times before you write a line of code. You will sit alongside the principals and the operating teams, so what you build goes live and gets used that week. Get the foundation right and the question that follows is a genuinely interesting one: whether the tooling you have built internally becomes a product in its own right. YOUR ROLE Set the direction. Identify and translate the organisation's highest-value problems into a technical roadmap, balancing a robust platform architecture against rapid delivery. Build the foundation. Design the data model that operates as a single source of truth, and the pipelines that store and reconcile properties, entities, leases, tenants, projects, invoices, cash flows, valuations and documents across multiple sources. Connect the estate. Build integrations with third-party vendors across APIs, webhooks, direct database access and scheduled ingestion. Kill the manual work. Eliminate repetitive manual work across internal workflows: data collection, validation, approvals, reconciliations, reminders, document generation and reporting. Ship what people use. Deliver dashboards, reports, alerts and internal applications that principals and operating teams can trust and actually use. Put AI to work properly. Build LLM pipelines for extraction, classification, retrieval and workflow support, with evaluations, human-in-the-loop oversight and auditability, so it is explainable rather than a black box. Set the bar. Set the standards for security, testing, deployment, monitoring and documentation, manage selected vendors, build the engineering culture, and mentor the junior data engineer. WHAT WE ARE LOOKING FOR A strong record of building and operating reliable pipelines, integrations, data models or platforms that serve real users and business-critical decisions. Strong programming fundamentals in Python, TypeScript and SQL at expert working level, covering testing, performance and maintainability, with the judgement to review others' code and hold a high-quality bar. Confidence building robust REST APIs, working with relational databases such as PostgreSQL, modelling data, running ETL/ELT pipelines, and making pragmatic build-versus-buy calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool use and guardrails. Experience taking a platform from prototype to production or working in an early-stage environment with a rapidly evolving product. Mature judgement handling financially sensitive, personal and commercially confidential information in a regulated industry. The ability to set direction, mentor a junior colleague and introduce engineering discipline while staying practical, fast and close to end users. Curiosity about how internal tools can be abstracted and generalised into a product. HELPFUL, BUT NOT ESSENTIAL Proptech, fintech, accounting technology, asset management, construction, private investment operations or another data-intensive regulated environment. Modern data warehouses, transformation and orchestration tooling, business intelligence platforms and internal web applications. Document processing, OCR, search and retrieval systems, workflow engines or human-in-the-loop review tools. UK data protection, information security and operational resilience principles. WHY THIS ONE IS WORTH A CONVERSATION Scope most senior engineers never get. The platform is yours to define, not someone else's to maintain. Direct access to the people who decide, without the layers that slow good engineering down. Real AI work with real constraints, where auditability and evaluation matter as much as the model. The stability of a long-established, cash-generative business, with the pace and the blank page of an early-stage one. THE PROCESS Morela is supporting this search and managing the process end to end. If the brief resonates, get in touch for a confidential conversation before you commit to anything; the client is named only once you are happy to be represented. Appointment will be subject to appropriate references, background checks and a confidentiality agreement. We welcome applicants from different backgrounds whose skills and evidence meet the requirements, and reasonable adjustments are available throughout the process. For immediate consideration email (url removed)
Storage & Backup Engineer (SC Cleared) Location: Remote Rate: Up to 622 per day (INSIDE IR35) Contract Length: 4 Months Clearance: Active SC Clearance Required Your New Role Hays are recruiting for an experienced Storage & Backup Engineer to join a high-profile Ministry of Justice programme. This is a fully remote contract opportunity supporting critical national infrastructure within a secure and highly regulated environment. You will be responsible for the management, maintenance and optimisation of enterprise storage platforms, ensuring services remain secure, resilient, performant and compliant with operational and security requirements. What You'll Be Doing Administering enterprise SAN and NAS storage environments. Performing storage provisioning, allocation and capacity management activities. Monitoring and optimising storage performance and availability Managing storage replication, backup and disaster recovery solutions. Supporting firmware upgrades, maintenance activities and infrastructure changes. Investigating and resolving complex storage-related incidents and problems. Working closely with Wintel, Linux, Database and Application teams Producing and maintaining operational documentation, technical standards and runbooks. Supporting change management and governance processes What You'll Need to Succeed Active SC Clearance. Strong experience administering enterprise storage infrastructure. Experience with SAN and NAS technologies. Knowledge of storage replication, backup and disaster recovery solutions. Experience supporting critical production environments with high availability requirements. Strong understanding of ITIL processes including Incident, Problem and Change Management. Experience working within secure and highly regulated environments. Excellent stakeholder management and communication skills Highly Desirable Technologies Dell PowerStore Dell VNX Brocade SAN Switches What You'll Get in Return Remote working contract. Up to 622 per day INSIDE IR35. Opportunity to work on a critical Ministry of Justice programme. Exposure to enterprise-scale infrastructure within a highly secure environment Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Aug 23, 2026
Contractor
Storage & Backup Engineer (SC Cleared) Location: Remote Rate: Up to 622 per day (INSIDE IR35) Contract Length: 4 Months Clearance: Active SC Clearance Required Your New Role Hays are recruiting for an experienced Storage & Backup Engineer to join a high-profile Ministry of Justice programme. This is a fully remote contract opportunity supporting critical national infrastructure within a secure and highly regulated environment. You will be responsible for the management, maintenance and optimisation of enterprise storage platforms, ensuring services remain secure, resilient, performant and compliant with operational and security requirements. What You'll Be Doing Administering enterprise SAN and NAS storage environments. Performing storage provisioning, allocation and capacity management activities. Monitoring and optimising storage performance and availability Managing storage replication, backup and disaster recovery solutions. Supporting firmware upgrades, maintenance activities and infrastructure changes. Investigating and resolving complex storage-related incidents and problems. Working closely with Wintel, Linux, Database and Application teams Producing and maintaining operational documentation, technical standards and runbooks. Supporting change management and governance processes What You'll Need to Succeed Active SC Clearance. Strong experience administering enterprise storage infrastructure. Experience with SAN and NAS technologies. Knowledge of storage replication, backup and disaster recovery solutions. Experience supporting critical production environments with high availability requirements. Strong understanding of ITIL processes including Incident, Problem and Change Management. Experience working within secure and highly regulated environments. Excellent stakeholder management and communication skills Highly Desirable Technologies Dell PowerStore Dell VNX Brocade SAN Switches What You'll Get in Return Remote working contract. Up to 622 per day INSIDE IR35. Opportunity to work on a critical Ministry of Justice programme. Exposure to enterprise-scale infrastructure within a highly secure environment Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Building a sustainable tomorrow BAM UK & Ireland are recruiting a Facilities Administrator to join our FM Segment of the business and provide administrative support to the Facilities Manager based at Derbyshire Police Headquarters. Working 37.5 Hours per week. Times to be agreed. The successful applicant will also be required to undertake Police vetting with outcome confirmed before commencement start date. Making Possible • File management, electronic and hard copy. • Maintaining accident monitoring and logging. • Typing and photocopying. • Compliance monitoring • Taking telephone calls for the Facilities Management Team • Management of PPM system including record retention and filing. • Processing of purchase orders and maintaining a database of all FM correspondence. • Data processing, meter readings community lets, timesheets, RDS sheets. • Dealing with sub-contractors. • Dealing with correspondence and responding to general enquiries. • Managing movements, diaries and travel. • Organising meeting rooms and catering. • Chasing internal reports and requests for info. • Attending meetings, preparing minutes and chasing up action points assigned to facilities department. • Collation of contract performance and financial monthly reports. • Work with other members of the FM team in the best interests of the company. • Other office duties as required. What s in it for you? A challenging and continuously changing environment in a forward thinking organisation. In addition to an attractive salary and benefits package, we support further personal growth and development. BAM operates a flexible working policy. What do you bring to the role? • Skilled with Word processing and file management. • Familiar with Excel spreadsheets. • Concept Evolution • Document drafting and production. • E-mail and internet skills. • Good IT skills. Person Specification • Good team worker within a small office environment. Capable of taking initiative when necessary. • Good communicator written and verbal. • Good organiser (of self and others). • Good telephone manner. • Flexible approach to work and time commitment. About BAM Building a sustainable tomorrow. That s our mission and our promise at BAM. It s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe. We strive to create an environment where everybody feels welcome and valued. We re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics. The application process BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel you may need any reasonable adjustments, do not hesitate to speak with one of our team, and we will do our best to support you. "Join us in Making Possible" You will be required to sucessfully complete police vetting prior to starting this position.
Aug 23, 2026
Full time
Building a sustainable tomorrow BAM UK & Ireland are recruiting a Facilities Administrator to join our FM Segment of the business and provide administrative support to the Facilities Manager based at Derbyshire Police Headquarters. Working 37.5 Hours per week. Times to be agreed. The successful applicant will also be required to undertake Police vetting with outcome confirmed before commencement start date. Making Possible • File management, electronic and hard copy. • Maintaining accident monitoring and logging. • Typing and photocopying. • Compliance monitoring • Taking telephone calls for the Facilities Management Team • Management of PPM system including record retention and filing. • Processing of purchase orders and maintaining a database of all FM correspondence. • Data processing, meter readings community lets, timesheets, RDS sheets. • Dealing with sub-contractors. • Dealing with correspondence and responding to general enquiries. • Managing movements, diaries and travel. • Organising meeting rooms and catering. • Chasing internal reports and requests for info. • Attending meetings, preparing minutes and chasing up action points assigned to facilities department. • Collation of contract performance and financial monthly reports. • Work with other members of the FM team in the best interests of the company. • Other office duties as required. What s in it for you? A challenging and continuously changing environment in a forward thinking organisation. In addition to an attractive salary and benefits package, we support further personal growth and development. BAM operates a flexible working policy. What do you bring to the role? • Skilled with Word processing and file management. • Familiar with Excel spreadsheets. • Concept Evolution • Document drafting and production. • E-mail and internet skills. • Good IT skills. Person Specification • Good team worker within a small office environment. Capable of taking initiative when necessary. • Good communicator written and verbal. • Good organiser (of self and others). • Good telephone manner. • Flexible approach to work and time commitment. About BAM Building a sustainable tomorrow. That s our mission and our promise at BAM. It s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe. We strive to create an environment where everybody feels welcome and valued. We re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics. The application process BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel you may need any reasonable adjustments, do not hesitate to speak with one of our team, and we will do our best to support you. "Join us in Making Possible" You will be required to sucessfully complete police vetting prior to starting this position.
Oracle Database Engineer Christchurch Based 74.68 an hour Umbrella Inside IR35 12 Month Contract initially. This is a great opportunity to work within one of the Uks leading Defence Organisations based in Christchurch. Current SC/DV Cleared is needed for the position. The candidate should have an existing, proven knowledge of the following: The systems development lifecycle, from design through to test The development processes (e.g. requirements, design, specification, implementation, acceptance testing), and development tools Essential / Desirable skills The candidate should also be able to demonstrate: A team working culture Innovation and problem-solving skills, with a holistic view to implementation Interpersonal and communication skills. In particular, the candidate will show the confidence to liaise with customer and user representatives to discuss systems technical issues. Awareness of Risk Management Additional Information The development processes (e.g. requirements, design, specification, implementation, acceptance testing), and development tools The design and implementation of database tables Implementation of database packages using the Structured Query Language (SQL) Database design and modelling Performance monitoring and enhancement of an Oracle database Database administration Monitoring the Oracle website for updates and engaging with Oracle to request patches Horizon scanning for vulnerabilities Configuring Windows/Linux/RHEL operating systems Creating bespoke applications and automated deployment using PowerShell Knowledge: Innovation and problem-solving skills, with a holistic view to implementation Awareness of Risk Management Skills: A team working culture Interpersonal and communication skills. In particular, the candidate will show the confidence to liaise with customer and user representatives to discuss systems technical issues For more information please contact Lauren Morley at JAM Recruitment or click apply.
Aug 22, 2026
Contractor
Oracle Database Engineer Christchurch Based 74.68 an hour Umbrella Inside IR35 12 Month Contract initially. This is a great opportunity to work within one of the Uks leading Defence Organisations based in Christchurch. Current SC/DV Cleared is needed for the position. The candidate should have an existing, proven knowledge of the following: The systems development lifecycle, from design through to test The development processes (e.g. requirements, design, specification, implementation, acceptance testing), and development tools Essential / Desirable skills The candidate should also be able to demonstrate: A team working culture Innovation and problem-solving skills, with a holistic view to implementation Interpersonal and communication skills. In particular, the candidate will show the confidence to liaise with customer and user representatives to discuss systems technical issues. Awareness of Risk Management Additional Information The development processes (e.g. requirements, design, specification, implementation, acceptance testing), and development tools The design and implementation of database tables Implementation of database packages using the Structured Query Language (SQL) Database design and modelling Performance monitoring and enhancement of an Oracle database Database administration Monitoring the Oracle website for updates and engaging with Oracle to request patches Horizon scanning for vulnerabilities Configuring Windows/Linux/RHEL operating systems Creating bespoke applications and automated deployment using PowerShell Knowledge: Innovation and problem-solving skills, with a holistic view to implementation Awareness of Risk Management Skills: A team working culture Interpersonal and communication skills. In particular, the candidate will show the confidence to liaise with customer and user representatives to discuss systems technical issues For more information please contact Lauren Morley at JAM Recruitment or click apply.
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. Responsibilities AI Strategy & Platform Architecture Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership-training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education Bachelor's degree required; Master's in CS, AI/ML, or related field preferred. What Success Looks Like Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why This Role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems. Banking operations at this scale generate AI challenges that simply do not exist elsewhere - legacy system integration, regulatory auditability requirements, multi jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Equal Employment Opportunity Citi is an equal opportunity and affirmative action employer . click apply for full job details
Aug 22, 2026
Full time
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. Responsibilities AI Strategy & Platform Architecture Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership-training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education Bachelor's degree required; Master's in CS, AI/ML, or related field preferred. What Success Looks Like Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why This Role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems. Banking operations at this scale generate AI challenges that simply do not exist elsewhere - legacy system integration, regulatory auditability requirements, multi jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Equal Employment Opportunity Citi is an equal opportunity and affirmative action employer . click apply for full job details
Founded in 2011, Fasanara is a global asset manager and technology platform managing approximately USD 6 billion in assets under management as of July 2026, investing across private and public markets on behalf of institutional investors globally. Alongside our established Fintech Lending franchise, Fasanara is building Open Quant: an institutional, technology-led multi-manager platform designed to give exceptional quantitative investment teams access to shared capital, infrastructure, execution, risk management and operational support. Fasanara Open Quant is a fully quantitative multi-strategy, multi-manager hedge fund that aims to generate superior returns through a unique portfolio of investment algorithms. The fund tracks the performance of independent early-stage quant trading teams globally, using their collective intelligence to harvest persistent, uncorrelated returns. The fund has been growing rapidly and achieving strong returns. Our Culture We are strong believers in meritocracy, and we seek to reward people based on impact, judgement, and excellence in execution. We keep bureaucracy to a minimum, so decisions are made quickly and people have real ownership. Our environment is collaborative, inclusive, entrepreneurial, and built on trust. We set ambitious goals, work hard in a focused and sustainable way, and place a strong emphasis on teamwork, integrity, and quality in everything we do. We know we are only as good as our people, so we are deliberately building the firm around exceptional talent and diverse perspectives, and we support our leaders to grow, influence, and shape the future of the business. The Role We are seeking a Quant Technology Lead to lead the design, architecture, delivery, and continuous evolution of the technology platform powering Fasanara Open Quant. Reporting directly to the Head of Technology, the successful candidate will be fully dedicated to the Open Quant business, working closely with the Head of Quant Division and the Quant investment team. As the primary technology partner to the business, they will translate investment, portfolio, risk, and operational requirements into scalable production technology. This is a highly hands-on technical leadership role. The successful candidate will design and build core platform capabilities while working directly with portfolio managers, quantitative researchers, traders, risk professionals, operations teams, and engineers. The ideal candidate combines deep software engineering and architecture expertise with a strong understanding of financial markets and investment technology. As Open Quant continues to scale, they will play a central role in defining its technical roadmap and developing the dedicated Quant Technology function. Responsibilities Platform Architecture & Engineering Lead the design, architecture, development, and evolution of the Open Quant technology platform. Build scalable, secure, resilient, cloud-native systems supporting a growing multi-manager quantitative investment business. Define the technical roadmap for core investment, portfolio, risk, data, and operational systems. Design robust APIs, data models, and integration frameworks. Establish strong engineering standards across security, scalability, reliability, and operational excellence. Act as a hands-on technical lead while helping develop the wider Quant Technology function. Investment, Portfolio & Risk Technology Design and develop institutional-quality investment and portfolio management technology. Build portfolio aggregation, investment analytics, and cross-manager risk monitoring capabilities. Develop portfolio, risk, and analytics capabilities on top of a centralised Position Ledger. Build APIs and data services providing investment, portfolio, and risk information to Portfolio Management, Risk, and Operations. Ensure investment data and analytics are accurate, reproducible, and auditable. Data & Integrations Lead the development of a central Position Ledger integrating broker positions into a standardised and auditable data model. Build and maintain security master and pricing datasets. Design scalable market, portfolio, reference, and operational data architecture. Build resilient data pipelines supporting quantitative research, portfolio management, analytics, and production monitoring. Integrate market data providers, prime brokers, custodians, fund administrators, and other external systems into the platform. AI & Automation Drive the practical application of AI across software development and investment workflows. Identify opportunities to automate investment and operational processes while maintaining appropriate controls and auditability. Evaluate emerging technologies that can improve platform performance, scalability, and engineering productivity. Technology Leadership & Partnership Act as the primary technology partner to the Open Quant business. Work closely with portfolio managers and quantitative researchers to translate investment requirements into robust technical solutions. Partner with Risk, Operations, and central Technology teams to ensure platform capabilities meet business requirements. Own and drive the Quant Technology roadmap jointly with the Quant and Technology leadership teams. Essential Significant software engineering and solution architecture experience, with a track record of building scalable production systems. Proven experience delivering technology for investment, trading, portfolio management, risk, or related institutional financial services platforms. Strong understanding of financial markets, investment workflows, and quantitative investment technology. Strong practical knowledge of cloud-native architectures, distributed systems, APIs, data platforms, databases, and production infrastructure. Strong hands-on software engineering capability alongside architecture and technical leadership experience. Experience designing secure and resilient systems where data accuracy, auditability, and operational reliability are critical. Ability to translate complex investment and business requirements into scalable technical solutions. Strong understanding of data architecture and integration across multiple internal and external data sources. Excellent stakeholder management and communication skills. Entrepreneurial mindset with a high degree of ownership, accountability, and attention to detail. Strong interest in innovation and the practical application of AI to technology and investment workflows. Desirable Experience within a multi-manager hedge fund, quantitative investment platform, systematic asset manager, proprietary trading firm, or comparable institutional environment. Experience building shared investment platforms supporting multiple portfolio managers or investment teams. Strong knowledge of financial instruments, portfolio construction, risk management, execution, and investment fund operations. Experience integrating prime brokers, fund administrators, custodians, market data providers, or portfolio management systems. Experience building investment and risk analytics. Experience helping build or lead technology and engineering teams in a growing environment. Our benefits include: Performance-related Bonus Scheme Private Medical & Dental Insurance through Bupa (including children's cover) Life Insurance, Income Protection & Critical Illness Cover Employee Assistance Programme (EAP) Salary sacrifice pension with Hargreaves Lansdown (currently matched up to 10%) Enhanced Maternity & Paternity Leave Emergency Parental Leave, Emergency Childcare & Nursery Benefit Cycle to Work Scheme Charity Giving through CAF Annual Wellbeing Budget Team socials, annual Summer & Christmas parties,and other events throughout the year
Aug 22, 2026
Full time
Founded in 2011, Fasanara is a global asset manager and technology platform managing approximately USD 6 billion in assets under management as of July 2026, investing across private and public markets on behalf of institutional investors globally. Alongside our established Fintech Lending franchise, Fasanara is building Open Quant: an institutional, technology-led multi-manager platform designed to give exceptional quantitative investment teams access to shared capital, infrastructure, execution, risk management and operational support. Fasanara Open Quant is a fully quantitative multi-strategy, multi-manager hedge fund that aims to generate superior returns through a unique portfolio of investment algorithms. The fund tracks the performance of independent early-stage quant trading teams globally, using their collective intelligence to harvest persistent, uncorrelated returns. The fund has been growing rapidly and achieving strong returns. Our Culture We are strong believers in meritocracy, and we seek to reward people based on impact, judgement, and excellence in execution. We keep bureaucracy to a minimum, so decisions are made quickly and people have real ownership. Our environment is collaborative, inclusive, entrepreneurial, and built on trust. We set ambitious goals, work hard in a focused and sustainable way, and place a strong emphasis on teamwork, integrity, and quality in everything we do. We know we are only as good as our people, so we are deliberately building the firm around exceptional talent and diverse perspectives, and we support our leaders to grow, influence, and shape the future of the business. The Role We are seeking a Quant Technology Lead to lead the design, architecture, delivery, and continuous evolution of the technology platform powering Fasanara Open Quant. Reporting directly to the Head of Technology, the successful candidate will be fully dedicated to the Open Quant business, working closely with the Head of Quant Division and the Quant investment team. As the primary technology partner to the business, they will translate investment, portfolio, risk, and operational requirements into scalable production technology. This is a highly hands-on technical leadership role. The successful candidate will design and build core platform capabilities while working directly with portfolio managers, quantitative researchers, traders, risk professionals, operations teams, and engineers. The ideal candidate combines deep software engineering and architecture expertise with a strong understanding of financial markets and investment technology. As Open Quant continues to scale, they will play a central role in defining its technical roadmap and developing the dedicated Quant Technology function. Responsibilities Platform Architecture & Engineering Lead the design, architecture, development, and evolution of the Open Quant technology platform. Build scalable, secure, resilient, cloud-native systems supporting a growing multi-manager quantitative investment business. Define the technical roadmap for core investment, portfolio, risk, data, and operational systems. Design robust APIs, data models, and integration frameworks. Establish strong engineering standards across security, scalability, reliability, and operational excellence. Act as a hands-on technical lead while helping develop the wider Quant Technology function. Investment, Portfolio & Risk Technology Design and develop institutional-quality investment and portfolio management technology. Build portfolio aggregation, investment analytics, and cross-manager risk monitoring capabilities. Develop portfolio, risk, and analytics capabilities on top of a centralised Position Ledger. Build APIs and data services providing investment, portfolio, and risk information to Portfolio Management, Risk, and Operations. Ensure investment data and analytics are accurate, reproducible, and auditable. Data & Integrations Lead the development of a central Position Ledger integrating broker positions into a standardised and auditable data model. Build and maintain security master and pricing datasets. Design scalable market, portfolio, reference, and operational data architecture. Build resilient data pipelines supporting quantitative research, portfolio management, analytics, and production monitoring. Integrate market data providers, prime brokers, custodians, fund administrators, and other external systems into the platform. AI & Automation Drive the practical application of AI across software development and investment workflows. Identify opportunities to automate investment and operational processes while maintaining appropriate controls and auditability. Evaluate emerging technologies that can improve platform performance, scalability, and engineering productivity. Technology Leadership & Partnership Act as the primary technology partner to the Open Quant business. Work closely with portfolio managers and quantitative researchers to translate investment requirements into robust technical solutions. Partner with Risk, Operations, and central Technology teams to ensure platform capabilities meet business requirements. Own and drive the Quant Technology roadmap jointly with the Quant and Technology leadership teams. Essential Significant software engineering and solution architecture experience, with a track record of building scalable production systems. Proven experience delivering technology for investment, trading, portfolio management, risk, or related institutional financial services platforms. Strong understanding of financial markets, investment workflows, and quantitative investment technology. Strong practical knowledge of cloud-native architectures, distributed systems, APIs, data platforms, databases, and production infrastructure. Strong hands-on software engineering capability alongside architecture and technical leadership experience. Experience designing secure and resilient systems where data accuracy, auditability, and operational reliability are critical. Ability to translate complex investment and business requirements into scalable technical solutions. Strong understanding of data architecture and integration across multiple internal and external data sources. Excellent stakeholder management and communication skills. Entrepreneurial mindset with a high degree of ownership, accountability, and attention to detail. Strong interest in innovation and the practical application of AI to technology and investment workflows. Desirable Experience within a multi-manager hedge fund, quantitative investment platform, systematic asset manager, proprietary trading firm, or comparable institutional environment. Experience building shared investment platforms supporting multiple portfolio managers or investment teams. Strong knowledge of financial instruments, portfolio construction, risk management, execution, and investment fund operations. Experience integrating prime brokers, fund administrators, custodians, market data providers, or portfolio management systems. Experience building investment and risk analytics. Experience helping build or lead technology and engineering teams in a growing environment. Our benefits include: Performance-related Bonus Scheme Private Medical & Dental Insurance through Bupa (including children's cover) Life Insurance, Income Protection & Critical Illness Cover Employee Assistance Programme (EAP) Salary sacrifice pension with Hargreaves Lansdown (currently matched up to 10%) Enhanced Maternity & Paternity Leave Emergency Parental Leave, Emergency Childcare & Nursery Benefit Cycle to Work Scheme Charity Giving through CAF Annual Wellbeing Budget Team socials, annual Summer & Christmas parties,and other events throughout the year
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non financial regulatory reporting, payroll, and international operations. The scale is significant, the problems are unsolved at this level of complexity, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade. Unlike a role at a pure play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched. This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications: Technological 15+ years of experience in Technology - Required Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education: Bachelors required; Master's in CS, AI/ML, or related field preferred. What success looks like: Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why this role Scale that is rare click apply for full job details
Aug 21, 2026
Full time
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non financial regulatory reporting, payroll, and international operations. The scale is significant, the problems are unsolved at this level of complexity, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade. Unlike a role at a pure play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched. This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications: Technological 15+ years of experience in Technology - Required Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education: Bachelors required; Master's in CS, AI/ML, or related field preferred. What success looks like: Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why this role Scale that is rare click apply for full job details
We have officially expanded into the UK, and we are looking to hire engineers to join the team. We're really lucky to have an Engineering team spread across three jurisdictions working on the Hnry product. While that gives us the opportunity to hire great people globally, we're looking for a Platform Engineer to join our founding London team. You will play a key role in the team that takes ownership of the infrastructure, performance, and security of the Hnry platform. Our Platform Squad is responsible for keeping our AWS servers and databases running smoothly, and making sure we're set up to scale with confidence. Collaborate with engineers across the business to support platform needs and improve developer experience Design, build and maintain improvements to the infrastructure and platform of Hnry, currently hosted on AWS Improve the reliability, availability and performance of our platform Evolve and optimise our CI/CD pipelines to enable fast, safe and consistent deployments Implement and enhance observability (monitoring, alerting, logging) using tools like DataDog to ensure high-availability APM Apply best practices in security, scalability and cost optimisation across our infrastructure Support incident response and proactively identify and resolve system issues Produce work that meets the expected level of test coverage and improve test coverage across the existing codebase Share knowledge and contribute to engineering standards and ways of working Jayesh - Principal Engineer Have hands-on experience with AWS infrastructure for web applications (ideally including ECS and RDS) Have experience managing cloud infrastructure using Infrastructure as Code (e.g. Terraform) Be confident working with tools such as Git, GitHub, Linux, and CI/CD platforms (e.g. GitHub Actions, CircleCI) Be a team player and want to work as part of a team Be able to take complex problems, break them down, identify root causes and build robust solutions Have a pragmatic approach to improving system reliability, performance and scalability Actively monitor systems, identify problems and propose solutions Bonus points for the following: Experience optimising PostgreSQL databases Experience with Ruby on Rails or supporting Rails-based applications Experience working on systems at scale Experience in a startup, scale-up, or high-growth environment Experience being self-employed (freelancing, contracting etc.) How we work We follow agile practices, delivering improvements iteratively in small chunks. We track the impact of our work and measure ourselves on results, not the amount of code written. We're growing fast, and are focused on building a well designed, scalable & robust platform. In some areas of the work (e.g. payment processing) there is very little margin for error. Our technology platform is built in Ruby on Rails, hosted on AWS services (via Terraform), Postgres, Docker We have wide automated test coverage, continuous deployment via CircleCI, and our Engineering team release to production multiple times per day. We review each others code, and set aside time for hacking on experimental features, refactoring and/or learning new things. We work hard and finish on time, no crazy hours. Salary banding: £60,000 - £70,000 per annum At Hnry, we operate a policy of pay parity across our organisation to ensure that all Hnry staff are fairly and equally compensated based on their contributions and experience. The salary for this role will be determined based on the applicant's experience.
Aug 21, 2026
Full time
We have officially expanded into the UK, and we are looking to hire engineers to join the team. We're really lucky to have an Engineering team spread across three jurisdictions working on the Hnry product. While that gives us the opportunity to hire great people globally, we're looking for a Platform Engineer to join our founding London team. You will play a key role in the team that takes ownership of the infrastructure, performance, and security of the Hnry platform. Our Platform Squad is responsible for keeping our AWS servers and databases running smoothly, and making sure we're set up to scale with confidence. Collaborate with engineers across the business to support platform needs and improve developer experience Design, build and maintain improvements to the infrastructure and platform of Hnry, currently hosted on AWS Improve the reliability, availability and performance of our platform Evolve and optimise our CI/CD pipelines to enable fast, safe and consistent deployments Implement and enhance observability (monitoring, alerting, logging) using tools like DataDog to ensure high-availability APM Apply best practices in security, scalability and cost optimisation across our infrastructure Support incident response and proactively identify and resolve system issues Produce work that meets the expected level of test coverage and improve test coverage across the existing codebase Share knowledge and contribute to engineering standards and ways of working Jayesh - Principal Engineer Have hands-on experience with AWS infrastructure for web applications (ideally including ECS and RDS) Have experience managing cloud infrastructure using Infrastructure as Code (e.g. Terraform) Be confident working with tools such as Git, GitHub, Linux, and CI/CD platforms (e.g. GitHub Actions, CircleCI) Be a team player and want to work as part of a team Be able to take complex problems, break them down, identify root causes and build robust solutions Have a pragmatic approach to improving system reliability, performance and scalability Actively monitor systems, identify problems and propose solutions Bonus points for the following: Experience optimising PostgreSQL databases Experience with Ruby on Rails or supporting Rails-based applications Experience working on systems at scale Experience in a startup, scale-up, or high-growth environment Experience being self-employed (freelancing, contracting etc.) How we work We follow agile practices, delivering improvements iteratively in small chunks. We track the impact of our work and measure ourselves on results, not the amount of code written. We're growing fast, and are focused on building a well designed, scalable & robust platform. In some areas of the work (e.g. payment processing) there is very little margin for error. Our technology platform is built in Ruby on Rails, hosted on AWS services (via Terraform), Postgres, Docker We have wide automated test coverage, continuous deployment via CircleCI, and our Engineering team release to production multiple times per day. We review each others code, and set aside time for hacking on experimental features, refactoring and/or learning new things. We work hard and finish on time, no crazy hours. Salary banding: £60,000 - £70,000 per annum At Hnry, we operate a policy of pay parity across our organisation to ensure that all Hnry staff are fairly and equally compensated based on their contributions and experience. The salary for this role will be determined based on the applicant's experience.
We have officially expanded into the UK, and we are looking to hire engineers to join the team. We're really lucky to have an Engineering team spread across three jurisdictions working on the Hnry product. While that gives us the opportunity to hire great people globally, we're looking for a Platform Engineer to join our founding London team. You will play a key role in the team that takes ownership of the infrastructure, performance, and security of the Hnry platform. Our Platform Squad is responsible for keeping our AWS servers and databases running smoothly, and making sure we're set up to scale with confidence. Collaborate with engineers across the business to support platform needs and improve developer experience Design, build and maintain improvements to the infrastructure and platform of Hnry, currently hosted on AWS Improve the reliability, availability and performance of our platform Evolve and optimise our CI/CD pipelines to enable fast, safe and consistent deployments Implement and enhance observability (monitoring, alerting, logging) using tools like DataDog to ensure high-availability APM Apply best practices in security, scalability and cost optimisation across our infrastructure Support incident response and proactively identify and resolve system issues Produce work that meets the expected level of test coverage and improve test coverage across the existing codebase Share knowledge and contribute to engineering standards and ways of working Jayesh - Principal Engineer Have hands-on experience with AWS infrastructure for web applications (ideally including ECS and RDS) Have experience managing cloud infrastructure using Infrastructure as Code (e.g. Terraform) Be confident working with tools such as Git, GitHub, Linux, and CI/CD platforms (e.g. GitHub Actions, CircleCI) Be a team player and want to work as part of a team Be able to take complex problems, break them down, identify root causes and build robust solutions Have a pragmatic approach to improving system reliability, performance and scalability Actively monitor systems, identify problems and propose solutions Bonus points for the following: Experience optimising PostgreSQL databases Experience with Ruby on Rails or supporting Rails-based applications Experience working on systems at scale Experience in a startup, scale-up, or high-growth environment Experience being self-employed (freelancing, contracting etc.) How we work We follow agile practices, delivering improvements iteratively in small chunks. We track the impact of our work and measure ourselves on results, not the amount of code written. We're growing fast, and are focused on building a well designed, scalable & robust platform. In some areas of the work (e.g. payment processing) there is very little margin for error. Our technology platform is built in Ruby on Rails, hosted on AWS services (via Terraform), Postgres, Docker We have wide automated test coverage, continuous deployment via CircleCI, and our Engineering team release to production multiple times per day. We review each others code, and set aside time for hacking on experimental features, refactoring and/or learning new things. We work hard and finish on time, no crazy hours. Salary banding: £60,000 - £70,000 per annum At Hnry, we operate a policy of pay parity across our organisation to ensure that all Hnry staff are fairly and equally compensated based on their contributions and experience. The salary for this role will be determined based on the applicant's experience.
Aug 21, 2026
Full time
We have officially expanded into the UK, and we are looking to hire engineers to join the team. We're really lucky to have an Engineering team spread across three jurisdictions working on the Hnry product. While that gives us the opportunity to hire great people globally, we're looking for a Platform Engineer to join our founding London team. You will play a key role in the team that takes ownership of the infrastructure, performance, and security of the Hnry platform. Our Platform Squad is responsible for keeping our AWS servers and databases running smoothly, and making sure we're set up to scale with confidence. Collaborate with engineers across the business to support platform needs and improve developer experience Design, build and maintain improvements to the infrastructure and platform of Hnry, currently hosted on AWS Improve the reliability, availability and performance of our platform Evolve and optimise our CI/CD pipelines to enable fast, safe and consistent deployments Implement and enhance observability (monitoring, alerting, logging) using tools like DataDog to ensure high-availability APM Apply best practices in security, scalability and cost optimisation across our infrastructure Support incident response and proactively identify and resolve system issues Produce work that meets the expected level of test coverage and improve test coverage across the existing codebase Share knowledge and contribute to engineering standards and ways of working Jayesh - Principal Engineer Have hands-on experience with AWS infrastructure for web applications (ideally including ECS and RDS) Have experience managing cloud infrastructure using Infrastructure as Code (e.g. Terraform) Be confident working with tools such as Git, GitHub, Linux, and CI/CD platforms (e.g. GitHub Actions, CircleCI) Be a team player and want to work as part of a team Be able to take complex problems, break them down, identify root causes and build robust solutions Have a pragmatic approach to improving system reliability, performance and scalability Actively monitor systems, identify problems and propose solutions Bonus points for the following: Experience optimising PostgreSQL databases Experience with Ruby on Rails or supporting Rails-based applications Experience working on systems at scale Experience in a startup, scale-up, or high-growth environment Experience being self-employed (freelancing, contracting etc.) How we work We follow agile practices, delivering improvements iteratively in small chunks. We track the impact of our work and measure ourselves on results, not the amount of code written. We're growing fast, and are focused on building a well designed, scalable & robust platform. In some areas of the work (e.g. payment processing) there is very little margin for error. Our technology platform is built in Ruby on Rails, hosted on AWS services (via Terraform), Postgres, Docker We have wide automated test coverage, continuous deployment via CircleCI, and our Engineering team release to production multiple times per day. We review each others code, and set aside time for hacking on experimental features, refactoring and/or learning new things. We work hard and finish on time, no crazy hours. Salary banding: £60,000 - £70,000 per annum At Hnry, we operate a policy of pay parity across our organisation to ensure that all Hnry staff are fairly and equally compensated based on their contributions and experience. The salary for this role will be determined based on the applicant's experience.
About Wintermute Wintermute is one of the largest crypto native algorithmic trading companies in digital assets. We provide liquidity algorithmically across cryptocurrency exchanges and trading platforms, a broad range of OTC trading products as well as support high profile blockchain projects and traditional financial institutions moving into crypto. We actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. Working at Wintermute We are looking for an experienced Product Manager to lead the development of our NODE platform, enabling seamless crypto trading experiences for institutional clients. This is a hands on, cross functional role that will have direct impact. You will work closely with engineers, designers, core developers, and stakeholders across the business to define, build, and ship a secure, scalable, and high performance trading platform. What you will work on Define and own the technical architecture for Wintermute's trading products, client facing portals, and internal applications - making the key technology and design decisions that determine how these systems are built and scaled. Lead and mentor a team of engineers across the full stack, setting standards for code quality, review processes, and engineering best practices. Drive technical strategy and roadmap alongside product leadership, translating business requirements into robust, scalable technical solutions. Architect systems that handle high data volumes, real time streaming, and low latency interactions - the kind of challenges you'd find on a trading platform processing millions of events per second. Oversee frontend experience across the full customer lifecycle, from onboarding portals to real time trading dashboards. Work cross functionally with product, marketing, trading, and backend engineering teams to ensure alignment and delivery. Establish and evolve engineering processes - sprint planning, incident response, deployment pipelines - that let the team ship with confidence and speed. Hard skills requirements 8+ years of software engineering experience, with at least 3 years in a technical leadership role (tech lead, engineering lead, or similar). Proven track record of making architecture decisions for complex, data intensive applications - ideally in trading platforms, financial services, or other high throughput/low latency environments. Deep experience building and scaling real time, high data volume systems (e.g., trading dashboards, live data feeds, streaming analytics, order management systems). Strong command of the modern frontend stack: TypeScript, React, Node.js - and the ability to evaluate and adopt new technologies as needed. Hands on server side experience: building and maintaining backend services, APIs, and data pipelines using languages such as Node.js, Python, Go, or similar. Solid understanding of end to end system architecture: APIs, microservices, event driven architectures, WebSockets, message queues, databases, and how frontend and backend systems work together in high performance environments. Experience with infrastructure and DevOps fundamentals: CI/CD, cloud platforms, CDN, monitoring/observability, and deployment strategies. Strong understanding of security best practices (OWASP, authentication/authorization patterns, secure data handling) - especially in a financial context. Experience hiring, mentoring, and growing engineers - building a high performing team, not just managing one. Nice to have Experience at a trading firm, fintech, or any environment where milliseconds matter and data volumes are extreme. Familiarity with algorithmic trading concepts and financial market infrastructure. Experience with performance optimization at scale - profiling, caching strategies, efficient rendering of large datasets. Experience with backend technologies beyond Node.js (Python, Go, Rust, or similar) for performance critical services. Write to us if you Love making hard technical decisions and seeing them pay off at scale. Get energized by building high performance systems that handle serious data volumes. Want to shape the technical direction of a product team, not just execute on someone else's plan. Are passionate about engineering culture - code quality, mentorship, and continuous improvement. Are curious about algorithmic trading and financial markets. Are determined, ambitious yet humble, willing to lead by example. Thrive in a meritocratic environment where impact matters more than titles. Prefer ownership over process - you'd rather build the right thing than follow a playbook. Enjoy working in person with your team (not fully remote). Tip for a successful application We will arrange a UK visa sponsorship and help with relocation to London.
Aug 19, 2026
Full time
About Wintermute Wintermute is one of the largest crypto native algorithmic trading companies in digital assets. We provide liquidity algorithmically across cryptocurrency exchanges and trading platforms, a broad range of OTC trading products as well as support high profile blockchain projects and traditional financial institutions moving into crypto. We actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. Working at Wintermute We are looking for an experienced Product Manager to lead the development of our NODE platform, enabling seamless crypto trading experiences for institutional clients. This is a hands on, cross functional role that will have direct impact. You will work closely with engineers, designers, core developers, and stakeholders across the business to define, build, and ship a secure, scalable, and high performance trading platform. What you will work on Define and own the technical architecture for Wintermute's trading products, client facing portals, and internal applications - making the key technology and design decisions that determine how these systems are built and scaled. Lead and mentor a team of engineers across the full stack, setting standards for code quality, review processes, and engineering best practices. Drive technical strategy and roadmap alongside product leadership, translating business requirements into robust, scalable technical solutions. Architect systems that handle high data volumes, real time streaming, and low latency interactions - the kind of challenges you'd find on a trading platform processing millions of events per second. Oversee frontend experience across the full customer lifecycle, from onboarding portals to real time trading dashboards. Work cross functionally with product, marketing, trading, and backend engineering teams to ensure alignment and delivery. Establish and evolve engineering processes - sprint planning, incident response, deployment pipelines - that let the team ship with confidence and speed. Hard skills requirements 8+ years of software engineering experience, with at least 3 years in a technical leadership role (tech lead, engineering lead, or similar). Proven track record of making architecture decisions for complex, data intensive applications - ideally in trading platforms, financial services, or other high throughput/low latency environments. Deep experience building and scaling real time, high data volume systems (e.g., trading dashboards, live data feeds, streaming analytics, order management systems). Strong command of the modern frontend stack: TypeScript, React, Node.js - and the ability to evaluate and adopt new technologies as needed. Hands on server side experience: building and maintaining backend services, APIs, and data pipelines using languages such as Node.js, Python, Go, or similar. Solid understanding of end to end system architecture: APIs, microservices, event driven architectures, WebSockets, message queues, databases, and how frontend and backend systems work together in high performance environments. Experience with infrastructure and DevOps fundamentals: CI/CD, cloud platforms, CDN, monitoring/observability, and deployment strategies. Strong understanding of security best practices (OWASP, authentication/authorization patterns, secure data handling) - especially in a financial context. Experience hiring, mentoring, and growing engineers - building a high performing team, not just managing one. Nice to have Experience at a trading firm, fintech, or any environment where milliseconds matter and data volumes are extreme. Familiarity with algorithmic trading concepts and financial market infrastructure. Experience with performance optimization at scale - profiling, caching strategies, efficient rendering of large datasets. Experience with backend technologies beyond Node.js (Python, Go, Rust, or similar) for performance critical services. Write to us if you Love making hard technical decisions and seeing them pay off at scale. Get energized by building high performance systems that handle serious data volumes. Want to shape the technical direction of a product team, not just execute on someone else's plan. Are passionate about engineering culture - code quality, mentorship, and continuous improvement. Are curious about algorithmic trading and financial markets. Are determined, ambitious yet humble, willing to lead by example. Thrive in a meritocratic environment where impact matters more than titles. Prefer ownership over process - you'd rather build the right thing than follow a playbook. Enjoy working in person with your team (not fully remote). Tip for a successful application We will arrange a UK visa sponsorship and help with relocation to London.
What's in it for me? Competitive salary and compensation structure Generous paid time off and holiday schedule Frequent firm-wide social events and activities Excellent environment for learning and growth Further benefits, depending on location About the Role We are looking for a hands on technical leader to lead Penta's Data Science team: someone who still designs, builds and reviews real solutions while owning execution, delivery and team development. You will be accountable for turning data science capability into shipped, dependable value for our clients and advisory teams, in alignment with our product roadmap. Penta's technology makes client outcomes sharper, faster, more differentiated and harder to replace. The Data Science team's success is measured by how much it improves live client work, not by technical elegance in isolation. Our core data science focus is natural language understanding at scale, processing millions of articles daily across stakeholder sentiment, topic identification over time, competitive peer set selection, summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you'll do Lead the team Manage, coach and develop Penta's Data Science team, setting priorities, planning capacity and creating a high trust, high output delivery culture. Translate the product roadmap and advisory needs into a focused data science plan, partnering with Product, Advisory, Database, Development and DevOps teams to keep delivery aligned with client outcomes. Raise the delivery bar for execution, quality, pace, maintainability and cost discipline. Ship production data science and AI systems Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large scale content processing. Own technical design and architecture for data science enabled applications, ensuring solutions are maintainable, supportable, observable and easy to operate. Productionise delivery with DevOps and MLOps, automating deployment in AWS and putting evaluation, monitoring and provider routing controls in place so AI outputs remain reliable and cost effective. Scale practical AI adoption Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost control, provider routing and observability built in. Partner with other departments to turn AI capabilities into everyday workflows, reusable tools and knowledge layers that improve internal productivity and client delivery. Evaluate emerging AI tools, models and agentic patterns, bringing the useful ones into production quickly and responsibly. Success in this role Means the Data Science team is shipping reliable, maintainable AI and analytics capabilities into live client and advisory workflows; team members are growing; delivery is predictable; and Penta's applied AI capability is visibly improving across products and engagements. The Team Our Technology team supports Penta's ambitious delivery plans, using technology to automate solutions, optimise outcomes and support continuous integration and deployment. The six person Data Science team sits alongside Development, Engineering / DevOps & Platform Security, IT and the PMO, and works hand in hand with the Product team. The environment is collaborative, pragmatic and delivery focused. We move quickly, share ideas openly, and use regular hackathons and experiments to generate practical business value. This is the hands on leadership role for that team. Reporting to the CTO, you will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large scale content processing. You will set its direction, raise its delivery bar, grow its people through hands on coaching, and lead from the front by actively shaping and delivering the work yourself. Our approach to AI is practical We are forward thinking and ambitious in practically applying AI across client facing work, corporate teams, technology and data science. We do not train our own foundation models; we apply, orchestrate and evaluate the best available models from major providers, engineering them into robust workflows that solve real business problems. We validate and document our methodologies through white papers and technical explainers, setting out the academic and analytical foundations behind our products, and the evidence that supports their use. This helps build trust in our tools, why they work and shows how they can be applied. We build on open source AI software, including LiteLLM and OpenWebUI, to maximise the internal value of AI and build durable institutional capability. Reliability, cost control, observability, instruction following, usability and adoption matter most. The team designs reusable workflows, skills, models and MCP tools that support Penta's move towards an AI native advisory operating system. Keeping Penta at the forefront of practical AI in PR, communications and strategic consultancy is part of the role. About You Tech skills required: applied AI, LLMs and data science Advanced Python coding for data science Power user fluency with frontier AI tools, especially Claude: expert level prompting, context engineering, agentic workflows, model selection, evaluation, and practical use of the latest AI native data science techniques Practical experience engineering production LLM workflows, including prompt / skill design, evaluation, cost control, provider routing, agentic / human in the loop orchestration, embeddings, vector search and RAG Implementation of foundational ML algorithms, classic NLP techniques and LLMs Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation AWS: EC2, ECS, S3; DevOps and automated deployment Git version control Ideally experience with OpenWebUI, LiteLLM, MCP tools and/or Claude Code Key competencies & experience Significant hands on experience as an Applied AI / Data Science technical leader, with recent, practical experience using frontier LLMs, prompting and agentic workflows to ship production systems. Typically this will mean around 10+ years' hands on experience, with technical leadership exposure. A suitable degree, ideally in Software Engineering or a related technical field, and the technical grounding set out above will round out the profile. The successful candidate will also have: An analytical and logical mind, dynamic, positive and ready to make a difference; The ability to communicate complex technical topics clearly to senior, non technical and technical audiences; A passionate drive for code quality, results and getting work shipped, with sound judgement on build vs buy, prioritisation and balancing speed against maintainability, cost and risk. We strongly believe in developing talent and are willing to invest time to develop the people who join our team.
Aug 19, 2026
Full time
What's in it for me? Competitive salary and compensation structure Generous paid time off and holiday schedule Frequent firm-wide social events and activities Excellent environment for learning and growth Further benefits, depending on location About the Role We are looking for a hands on technical leader to lead Penta's Data Science team: someone who still designs, builds and reviews real solutions while owning execution, delivery and team development. You will be accountable for turning data science capability into shipped, dependable value for our clients and advisory teams, in alignment with our product roadmap. Penta's technology makes client outcomes sharper, faster, more differentiated and harder to replace. The Data Science team's success is measured by how much it improves live client work, not by technical elegance in isolation. Our core data science focus is natural language understanding at scale, processing millions of articles daily across stakeholder sentiment, topic identification over time, competitive peer set selection, summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you'll do Lead the team Manage, coach and develop Penta's Data Science team, setting priorities, planning capacity and creating a high trust, high output delivery culture. Translate the product roadmap and advisory needs into a focused data science plan, partnering with Product, Advisory, Database, Development and DevOps teams to keep delivery aligned with client outcomes. Raise the delivery bar for execution, quality, pace, maintainability and cost discipline. Ship production data science and AI systems Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large scale content processing. Own technical design and architecture for data science enabled applications, ensuring solutions are maintainable, supportable, observable and easy to operate. Productionise delivery with DevOps and MLOps, automating deployment in AWS and putting evaluation, monitoring and provider routing controls in place so AI outputs remain reliable and cost effective. Scale practical AI adoption Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost control, provider routing and observability built in. Partner with other departments to turn AI capabilities into everyday workflows, reusable tools and knowledge layers that improve internal productivity and client delivery. Evaluate emerging AI tools, models and agentic patterns, bringing the useful ones into production quickly and responsibly. Success in this role Means the Data Science team is shipping reliable, maintainable AI and analytics capabilities into live client and advisory workflows; team members are growing; delivery is predictable; and Penta's applied AI capability is visibly improving across products and engagements. The Team Our Technology team supports Penta's ambitious delivery plans, using technology to automate solutions, optimise outcomes and support continuous integration and deployment. The six person Data Science team sits alongside Development, Engineering / DevOps & Platform Security, IT and the PMO, and works hand in hand with the Product team. The environment is collaborative, pragmatic and delivery focused. We move quickly, share ideas openly, and use regular hackathons and experiments to generate practical business value. This is the hands on leadership role for that team. Reporting to the CTO, you will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large scale content processing. You will set its direction, raise its delivery bar, grow its people through hands on coaching, and lead from the front by actively shaping and delivering the work yourself. Our approach to AI is practical We are forward thinking and ambitious in practically applying AI across client facing work, corporate teams, technology and data science. We do not train our own foundation models; we apply, orchestrate and evaluate the best available models from major providers, engineering them into robust workflows that solve real business problems. We validate and document our methodologies through white papers and technical explainers, setting out the academic and analytical foundations behind our products, and the evidence that supports their use. This helps build trust in our tools, why they work and shows how they can be applied. We build on open source AI software, including LiteLLM and OpenWebUI, to maximise the internal value of AI and build durable institutional capability. Reliability, cost control, observability, instruction following, usability and adoption matter most. The team designs reusable workflows, skills, models and MCP tools that support Penta's move towards an AI native advisory operating system. Keeping Penta at the forefront of practical AI in PR, communications and strategic consultancy is part of the role. About You Tech skills required: applied AI, LLMs and data science Advanced Python coding for data science Power user fluency with frontier AI tools, especially Claude: expert level prompting, context engineering, agentic workflows, model selection, evaluation, and practical use of the latest AI native data science techniques Practical experience engineering production LLM workflows, including prompt / skill design, evaluation, cost control, provider routing, agentic / human in the loop orchestration, embeddings, vector search and RAG Implementation of foundational ML algorithms, classic NLP techniques and LLMs Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation AWS: EC2, ECS, S3; DevOps and automated deployment Git version control Ideally experience with OpenWebUI, LiteLLM, MCP tools and/or Claude Code Key competencies & experience Significant hands on experience as an Applied AI / Data Science technical leader, with recent, practical experience using frontier LLMs, prompting and agentic workflows to ship production systems. Typically this will mean around 10+ years' hands on experience, with technical leadership exposure. A suitable degree, ideally in Software Engineering or a related technical field, and the technical grounding set out above will round out the profile. The successful candidate will also have: An analytical and logical mind, dynamic, positive and ready to make a difference; The ability to communicate complex technical topics clearly to senior, non technical and technical audiences; A passionate drive for code quality, results and getting work shipped, with sound judgement on build vs buy, prioritisation and balancing speed against maintainability, cost and risk. We strongly believe in developing talent and are willing to invest time to develop the people who join our team.
