Birmingham, United Kingdom / Brighton, United Kingdom / Bristol, United Kingdom / Cardiff, United Kingdom / Glasgow, United Kingdom / London, United Kingdom / Manchester, United Kingdom / Newcastle Upon Tyne, United Kingdom Location/s: London, Cardiff, Bristol, Brighton, Birmingham, Manchester, Glasgow, Newcastle Relocation supported:Not supported, but internal applications are welcome Hiring manager contact: Sam Ahdab Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices. We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance - we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual. Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you're surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employee owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued. Whatever your ambition, Mott MacDonald is where people come to be brilliant. Overview of the role: We are looking for a Principal Data Scientist to help shape the design, development and delivery of production grade AI, machine learning and data science solutions across Mott MacDonald. The role will focus on turning complex business, engineering and environmental needs into scalable, reliable data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape solution architecture, develop reliable models and ensure solutions are tested, monitored and improved in live use. The role includes end to end AI and data science delivery; setting standards for model development, evaluation and deployment; building reusable internal AI services; coaching data scientists and engineers; contributing to AI governance; and translating technical opportunities into clear business value for project teams and senior stakeholders. Candidate Specifications: Experience delivering production data science, machine learning or AI in an enterprise environment. Practical experience in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Keras. Practical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine tuning techniques. Experience designing and operating end to end MLOps workflows, including model training, deployment, monitoring, automation and continuous improvement. Ability to work across cloud and engineering environments, including tools such as Azure, Kubernetes, Docker, MLflow, GitHub Actions, Terraform or Databricks. Clear communication and stakeholder engagement skills, with the ability to explain complex technical concepts in accessible business language. Experience coaching, mentoring or giving technical guidance to data scientists, machine learning engineers or data professionals Experience applying computer vision, geospatial data science or predictive modelling to engineering, infrastructure, environmental or asset management work. Knowledge of tools and methods such as LangChain, LLM orchestration, agentic tool use, segmentation foundation models, zero/few shot visual understanding Experience developing reusable internal AI platforms, foundation model services or automation capabilities for use by wider teams. Postgraduate qualification or equivalent research experience in data science, engineering, computer science, applied mathematics or a related discipline. Evidence of innovation, publication, award recognition or contribution to data science practice. UK Immigration Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is as a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future. At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your well being, flexibility, and trust. Equality, diversity, and inclusion We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute. Accessibility We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at and we will talk to you about how we can support you. Financial wellbeing We match employee pension contributions between 4.5% and 7%. Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary. Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long term illness or injury. Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes. Employee Ownership Our employee ownership model means no external investors, just us, creating a culture of shared success. Our employees have a stake and a voice in our business, giving them a direct connection to our success through our personal and group performance bonuses. As your career grows, so does your stake, recognising your long term impact and contribution. Your voice matters, with the opportunity to connect directly with senior leadership through formal channels to help shape our future. For our senior roles you will have a direct pathway towards ownership from day one. Health and wellbeing Private medical insurance for all UK colleagues. Health cash plan to support you with every day health costs and treatments. Access to Peppy, providing free support from menopause experts for all UK colleagues. A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too. Lifestyle A minimum of 33-35 days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme. 10 days additional paid leave for Armed Forces Reservists and Cadet Force Adult Volunteers. Holiday entitlement increased to a minimum of 35 days after 5 years' service. Variety of employee saving schemes and discounts from high street retailers. Enhanced family and carers leave Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave. Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. We offer policies and dedicated support to help military families balance service life with career and wellbeing. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self development options. Networks, communities, and social outcomes Join a wide range of groups including our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability, and parents/carers communities. We are proud signatories of the Armed Forces Covenant and Gold Award holders in the MOD Employer Recognition Scheme, supported by our dedicated internal Armed Forces Network.
26/07/2026
Full time
Birmingham, United Kingdom / Brighton, United Kingdom / Bristol, United Kingdom / Cardiff, United Kingdom / Glasgow, United Kingdom / London, United Kingdom / Manchester, United Kingdom / Newcastle Upon Tyne, United Kingdom Location/s: London, Cardiff, Bristol, Brighton, Birmingham, Manchester, Glasgow, Newcastle Relocation supported:Not supported, but internal applications are welcome Hiring manager contact: Sam Ahdab Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices. We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance - we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual. Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you're surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employee owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued. Whatever your ambition, Mott MacDonald is where people come to be brilliant. Overview of the role: We are looking for a Principal Data Scientist to help shape the design, development and delivery of production grade AI, machine learning and data science solutions across Mott MacDonald. The role will focus on turning complex business, engineering and environmental needs into scalable, reliable data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape solution architecture, develop reliable models and ensure solutions are tested, monitored and improved in live use. The role includes end to end AI and data science delivery; setting standards for model development, evaluation and deployment; building reusable internal AI services; coaching data scientists and engineers; contributing to AI governance; and translating technical opportunities into clear business value for project teams and senior stakeholders. Candidate Specifications: Experience delivering production data science, machine learning or AI in an enterprise environment. Practical experience in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Keras. Practical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine tuning techniques. Experience designing and operating end to end MLOps workflows, including model training, deployment, monitoring, automation and continuous improvement. Ability to work across cloud and engineering environments, including tools such as Azure, Kubernetes, Docker, MLflow, GitHub Actions, Terraform or Databricks. Clear communication and stakeholder engagement skills, with the ability to explain complex technical concepts in accessible business language. Experience coaching, mentoring or giving technical guidance to data scientists, machine learning engineers or data professionals Experience applying computer vision, geospatial data science or predictive modelling to engineering, infrastructure, environmental or asset management work. Knowledge of tools and methods such as LangChain, LLM orchestration, agentic tool use, segmentation foundation models, zero/few shot visual understanding Experience developing reusable internal AI platforms, foundation model services or automation capabilities for use by wider teams. Postgraduate qualification or equivalent research experience in data science, engineering, computer science, applied mathematics or a related discipline. Evidence of innovation, publication, award recognition or contribution to data science practice. UK Immigration Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is as a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future. At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your well being, flexibility, and trust. Equality, diversity, and inclusion We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute. Accessibility We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at and we will talk to you about how we can support you. Financial wellbeing We match employee pension contributions between 4.5% and 7%. Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary. Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long term illness or injury. Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes. Employee Ownership Our employee ownership model means no external investors, just us, creating a culture of shared success. Our employees have a stake and a voice in our business, giving them a direct connection to our success through our personal and group performance bonuses. As your career grows, so does your stake, recognising your long term impact and contribution. Your voice matters, with the opportunity to connect directly with senior leadership through formal channels to help shape our future. For our senior roles you will have a direct pathway towards ownership from day one. Health and wellbeing Private medical insurance for all UK colleagues. Health cash plan to support you with every day health costs and treatments. Access to Peppy, providing free support from menopause experts for all UK colleagues. A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too. Lifestyle A minimum of 33-35 days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme. 10 days additional paid leave for Armed Forces Reservists and Cadet Force Adult Volunteers. Holiday entitlement increased to a minimum of 35 days after 5 years' service. Variety of employee saving schemes and discounts from high street retailers. Enhanced family and carers leave Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave. Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. We offer policies and dedicated support to help military families balance service life with career and wellbeing. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self development options. Networks, communities, and social outcomes Join a wide range of groups including our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability, and parents/carers communities. We are proud signatories of the Armed Forces Covenant and Gold Award holders in the MOD Employer Recognition Scheme, supported by our dedicated internal Armed Forces Network.
Senior Low Latency Rust Engineer Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. This is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead application systems analysis and programming activities. The role is to provide senior, low latency systems and application framework engineering (skilled in Java, C++, Rust, KDB, market data, algorithmic trading technology) within the London Based High Performance Architectures (HPA) team. The team requires a specialist on algorithmic trading systems utilities including but not limited to market data replay and back test/simulation utilities. The HPA organization is a high skilled enablement group of subject matter experts who produce application frameworks and engage with application engineers to enable application modernisation to over 100 teams across Citi with a concentration on low latency e trading platforms in Markets Technology. This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. Responsibilities (but not limited to): 90% hands on in the Rust or Java codebase. We build microservices based event sourcing systems on a low latency in house framework. Response times in the 10 microsecond to 100 microsecond range. Lead integration of functions to meet goals, deploy new products, and enhance processes. Analyse complex business processes, system processes, and industry standards to define and develop solutions to high level problems. Provide world class expertise in Java low latency development. Utilise advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals. Consult with end users to identify system function specifications and incorporate into overall system design. Influence and negotiate with senior leaders and communicate with external parties. Mentor junior developers and less experienced senior Java developers. Key Skills and Experience required Demonstrated subject matter expert (SME) in applications development. In depth experience with algorithmic trading application development, preferably in a low latency environment. Detailed comprehension and experience with market data handling and associated technologies (such as time series databases e.g. KDB). Demonstrated leadership, project management, and development skills. Passion for coding excellent, commercial grade, mission critical Java frameworks based on event sourcing microservices. Complete knowledge of modern Java, the JVM, the Linux operating system, system calls and the kernel. Knowledge of TCP and other IP based network protocol technologies including hardware accelerated kernel bypass (e.g. Solarflare OpenOnload). Performance assessment and targeted tuning. Design and architectural elegance. Experience in implementing projects. Great communicator with high EQ. Ability to occasionally produce clear diagrammatic documentation and model key aspects in UML sequence diagrams. Relationship and consensus building skills. Nice to have Background in C++. What we'll provide you 27 days annual leave (plus bank holidays) Discretionary annual performance related bonus Private medical care & life insurance Employee assistance program Pension plan Paid parental leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
21/07/2026
Full time
Senior Low Latency Rust Engineer Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. This is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead application systems analysis and programming activities. The role is to provide senior, low latency systems and application framework engineering (skilled in Java, C++, Rust, KDB, market data, algorithmic trading technology) within the London Based High Performance Architectures (HPA) team. The team requires a specialist on algorithmic trading systems utilities including but not limited to market data replay and back test/simulation utilities. The HPA organization is a high skilled enablement group of subject matter experts who produce application frameworks and engage with application engineers to enable application modernisation to over 100 teams across Citi with a concentration on low latency e trading platforms in Markets Technology. This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. Responsibilities (but not limited to): 90% hands on in the Rust or Java codebase. We build microservices based event sourcing systems on a low latency in house framework. Response times in the 10 microsecond to 100 microsecond range. Lead integration of functions to meet goals, deploy new products, and enhance processes. Analyse complex business processes, system processes, and industry standards to define and develop solutions to high level problems. Provide world class expertise in Java low latency development. Utilise advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals. Consult with end users to identify system function specifications and incorporate into overall system design. Influence and negotiate with senior leaders and communicate with external parties. Mentor junior developers and less experienced senior Java developers. Key Skills and Experience required Demonstrated subject matter expert (SME) in applications development. In depth experience with algorithmic trading application development, preferably in a low latency environment. Detailed comprehension and experience with market data handling and associated technologies (such as time series databases e.g. KDB). Demonstrated leadership, project management, and development skills. Passion for coding excellent, commercial grade, mission critical Java frameworks based on event sourcing microservices. Complete knowledge of modern Java, the JVM, the Linux operating system, system calls and the kernel. Knowledge of TCP and other IP based network protocol technologies including hardware accelerated kernel bypass (e.g. Solarflare OpenOnload). Performance assessment and targeted tuning. Design and architectural elegance. Experience in implementing projects. Great communicator with high EQ. Ability to occasionally produce clear diagrammatic documentation and model key aspects in UML sequence diagrams. Relationship and consensus building skills. Nice to have Background in C++. What we'll provide you 27 days annual leave (plus bank holidays) Discretionary annual performance related bonus Private medical care & life insurance Employee assistance program Pension plan Paid parental leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Senior Low Latency Engineer Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team This is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities. The role is to provide senior, low latency systems and application framework engineering (skilled in Java, C++, Rust, KDB, market data, algorithmic trading technology) within the London Based High Performance Architectures (HPA) team. The team requires a specialist on algorithmic trading systems utilities including but not limited to market data replay and back test/simulation utilities. The HPA organization is a high skilled enablement group of subject matter experts who produce application frameworks and engage with application engineers to enable application modernisation to over 100 teams across Citi with a concentration on low latency eTrading platforms in Markets Technology. Responsibilities (but not limited to) 90% hands in the Java or Rust codebase: building microservices based event sourcing systems on a low latency in house framework. Response times of 10 microseconds to 100 microseconds. Lead integration of functions to meet goals, deploy new products, and enhance processes. Analyse complex business processes, system processes, and industry standards to define and develop solutions to high level problems. Provide world class expertise in area of Java low latency development. Utilise advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals. Consult with end users to identify system function specifications and incorporate into overall system design. Influence and negotiate with senior leaders and communicate with external parties. Happy to work with and educate and support/mentor junior developers and less experienced senior Java developers. Key Skills and Experience required Demonstrated SME in area(s) of Applications Development. In depth experience with Algorithmic Trading application development, preferably in a low latency environment. Detailed comprehension and experience with Market Data handling and associated technologies (such as time series databases e.g. KDB). Demonstrated leadership, project management, and development skills. Passion for coding excellent, commercial grade, mission critical Java frameworks based on event sourcing microservices. Complete knowledge of modern Java, the JVM, the Linux operating system, system calls, and Kernel. Knowledge of TCP and other IP based network protocol technologies including hardware accelerated kernel bypass e.g. Solarflare OpenOnload. Performance assessment and targeted tuning. Design and architectural elegance. Experience in implementing projects. Great communicator with high EQ. Ability to occasionally produce clear diagrammatic documentation and model key aspects in UML sequence diagrams. Relationship and consensus building skills. Nice to have Background in C++. What we'll provide you Competitive base salary (annually reviewed) and 27 days annual leave (plus bank holidays). Discretionary annual performance related bonus. Private Medical Care & Life Insurance. Employee Assistance Program. Pension Plan. Paid parental leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. Legal Statements Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
20/07/2026
Full time
Senior Low Latency Engineer Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team This is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities. The role is to provide senior, low latency systems and application framework engineering (skilled in Java, C++, Rust, KDB, market data, algorithmic trading technology) within the London Based High Performance Architectures (HPA) team. The team requires a specialist on algorithmic trading systems utilities including but not limited to market data replay and back test/simulation utilities. The HPA organization is a high skilled enablement group of subject matter experts who produce application frameworks and engage with application engineers to enable application modernisation to over 100 teams across Citi with a concentration on low latency eTrading platforms in Markets Technology. Responsibilities (but not limited to) 90% hands in the Java or Rust codebase: building microservices based event sourcing systems on a low latency in house framework. Response times of 10 microseconds to 100 microseconds. Lead integration of functions to meet goals, deploy new products, and enhance processes. Analyse complex business processes, system processes, and industry standards to define and develop solutions to high level problems. Provide world class expertise in area of Java low latency development. Utilise advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals. Consult with end users to identify system function specifications and incorporate into overall system design. Influence and negotiate with senior leaders and communicate with external parties. Happy to work with and educate and support/mentor junior developers and less experienced senior Java developers. Key Skills and Experience required Demonstrated SME in area(s) of Applications Development. In depth experience with Algorithmic Trading application development, preferably in a low latency environment. Detailed comprehension and experience with Market Data handling and associated technologies (such as time series databases e.g. KDB). Demonstrated leadership, project management, and development skills. Passion for coding excellent, commercial grade, mission critical Java frameworks based on event sourcing microservices. Complete knowledge of modern Java, the JVM, the Linux operating system, system calls, and Kernel. Knowledge of TCP and other IP based network protocol technologies including hardware accelerated kernel bypass e.g. Solarflare OpenOnload. Performance assessment and targeted tuning. Design and architectural elegance. Experience in implementing projects. Great communicator with high EQ. Ability to occasionally produce clear diagrammatic documentation and model key aspects in UML sequence diagrams. Relationship and consensus building skills. Nice to have Background in C++. What we'll provide you Competitive base salary (annually reviewed) and 27 days annual leave (plus bank holidays). Discretionary annual performance related bonus. Private Medical Care & Life Insurance. Employee Assistance Program. Pension Plan. Paid parental leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. Legal Statements Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Senior Manager, Data AnalyticsApplylocations: Greater London, GBR (United Kingdom Corporate Office)time type: Full timeposted on: Posted Todayjob requisition id: JR7950Explore the possibilities across our global house of brands.Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story.At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible. Primary Purpose: The Senior Manager, Data Analytics applies advanced analytics and data science to fuel growth of Tapestry's EMEAI markets. The focus is shifting from routine reporting to actionable insight, driving adoption of data-based measurement across the organization and championing automation and AI to accelerate decision making and operational efficiency. You will work collaboratively with business partners worldwide to define the right questions, uncover high impact opportunities and translate insights into practical business recommendations that improve revenue, gross margin and customer experience. The successful individual will leverage their proficiency in Data Analytics to: Centralise data integrity, reporting, tools architecture and training while decentralising insight creation and action. Partner across functions to design data driven analysis, strategies and tools Shift effort from static reporting to insight generation. Build interactive visualisations, dynamic dashboards and standard reports that surface leading indicator insights Perform large scale analysis that uncovers high impact acquisition drivers, media spend efficiency and revenue boosting actions; translate results into clear, data driven stories Drive organisation wide adoption of data. Measure outcomes, showcase impact and encourage a data first mindset for decision making. Embed predictive models, automated reporting and AI driven recommendations (e.g., MAP efficiency, allocation optimisation) and champion their use in business processes Drive adoption of automation & AI. Lead AI/ML pilot projects, demonstrate tangible value and promote scaling of successful models Collaborate with data engineering, data science and algorithm teams to innovate data sourcing, management and product solutions Connect with the Global Data Analytics (DA) team to align reporting standards, share best practices and foster cross regional data collaboration Maintain data integrity, develop reusable analytics tools and provide stakeholder training so teams can rely on accurate self service data Track key operational metrics, measure operational efficiency and drive process improvements that maximise sales, gross margin and improve the site site consumer journey & conversion, and focus the organisation on acquisition levers The accomplished individual will possess: 5+ years of hands on analytics experience within retail, eCommerce, or consulting environments Advanced SQL and ETL capabilities Strong data visualisation expertise (Tableau or comparable) Hands on experience with Google Analytics and BigQuery Proficiency in Python or R for analysis and modelling Proven ability to drive adoption of data based measurement and turn metrics into strategic actions Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI assisted tools) Excellent storytelling, communication, and relationship building skills Track record of translating analytics into revenue driving initiatives and improving gross margin Ability to prioritise dynamically in a fast paced, global environment Bachelor's degree in a quantitative or technical discipline Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.) Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling Prior success influencing global data culture change and promoting data centric decision makingPlease be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK. What Tapestry can offer you: Hybrid working (Tuesday - Thursday working from the office, Monday and Friday working remotely) Option to finish early on a Friday (Flex Fridays) 1 paid volunteering day per year and opportunities to volunteer with global projects Learning & development opportunities Internal mobility & career progression Regular social events - seasonal & cultural Equity Inclusion & Diversity initiatives which include employee resource groups & regional inclusion council Other benefits include: 25 days holiday in addition to bank holidays Annual Incentive Plan (company performance bonus) Multi brand discount up to 50% off - Coach and Kate Spade. Private healthcare with health assessment (Bupa) Bupa rewards - Financial wellbeing support and wellness discounts Private dental cover Free 24/7 support for family building, fertility and menopause with Maven Eyecare vouchers Employee assistance programme Enhanced employer pension contribution Gym discount Interest free season ticket loan Cycle to work schemeAt Tapestry, we are committed to building a diverse & inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that's ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you. Our Competencies for All Employees Courage : Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. Customer Focus : Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty. Drive for Results : Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. Learning on the Fly : Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Our Competencies for All People Managers Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder. Building Effective Teams : Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
19/07/2026
Full time
Senior Manager, Data AnalyticsApplylocations: Greater London, GBR (United Kingdom Corporate Office)time type: Full timeposted on: Posted Todayjob requisition id: JR7950Explore the possibilities across our global house of brands.Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story.At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible. Primary Purpose: The Senior Manager, Data Analytics applies advanced analytics and data science to fuel growth of Tapestry's EMEAI markets. The focus is shifting from routine reporting to actionable insight, driving adoption of data-based measurement across the organization and championing automation and AI to accelerate decision making and operational efficiency. You will work collaboratively with business partners worldwide to define the right questions, uncover high impact opportunities and translate insights into practical business recommendations that improve revenue, gross margin and customer experience. The successful individual will leverage their proficiency in Data Analytics to: Centralise data integrity, reporting, tools architecture and training while decentralising insight creation and action. Partner across functions to design data driven analysis, strategies and tools Shift effort from static reporting to insight generation. Build interactive visualisations, dynamic dashboards and standard reports that surface leading indicator insights Perform large scale analysis that uncovers high impact acquisition drivers, media spend efficiency and revenue boosting actions; translate results into clear, data driven stories Drive organisation wide adoption of data. Measure outcomes, showcase impact and encourage a data first mindset for decision making. Embed predictive models, automated reporting and AI driven recommendations (e.g., MAP efficiency, allocation optimisation) and champion their use in business processes Drive adoption of automation & AI. Lead AI/ML pilot projects, demonstrate tangible value and promote scaling of successful models Collaborate with data engineering, data science and algorithm teams to innovate data sourcing, management and product solutions Connect with the Global Data Analytics (DA) team to align reporting standards, share best practices and foster cross regional data collaboration Maintain data integrity, develop reusable analytics tools and provide stakeholder training so teams can rely on accurate self service data Track key operational metrics, measure operational efficiency and drive process improvements that maximise sales, gross margin and improve the site site consumer journey & conversion, and focus the organisation on acquisition levers The accomplished individual will possess: 5+ years of hands on analytics experience within retail, eCommerce, or consulting environments Advanced SQL and ETL capabilities Strong data visualisation expertise (Tableau or comparable) Hands on experience with Google Analytics and BigQuery Proficiency in Python or R for analysis and modelling Proven ability to drive adoption of data based measurement and turn metrics into strategic actions Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI assisted tools) Excellent storytelling, communication, and relationship building skills Track record of translating analytics into revenue driving initiatives and improving gross margin Ability to prioritise dynamically in a fast paced, global environment Bachelor's degree in a quantitative or technical discipline Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.) Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling Prior success influencing global data culture change and promoting data centric decision makingPlease be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK. What Tapestry can offer you: Hybrid working (Tuesday - Thursday working from the office, Monday and Friday working remotely) Option to finish early on a Friday (Flex Fridays) 1 paid volunteering day per year and opportunities to volunteer with global projects Learning & development opportunities Internal mobility & career progression Regular social events - seasonal & cultural Equity Inclusion & Diversity initiatives which include employee resource groups & regional inclusion council Other benefits include: 25 days holiday in addition to bank holidays Annual Incentive Plan (company performance bonus) Multi brand discount up to 50% off - Coach and Kate Spade. Private healthcare with health assessment (Bupa) Bupa rewards - Financial wellbeing support and wellness discounts Private dental cover Free 24/7 support for family building, fertility and menopause with Maven Eyecare vouchers Employee assistance programme Enhanced employer pension contribution Gym discount Interest free season ticket loan Cycle to work schemeAt Tapestry, we are committed to building a diverse & inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that's ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you. Our Competencies for All Employees Courage : Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. Customer Focus : Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty. Drive for Results : Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. Learning on the Fly : Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Our Competencies for All People Managers Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder. Building Effective Teams : Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku's continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world. About the role The depth of query, content and user understanding using ML is key to user happiness in their search journey. Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best of class AI powered products. Hence, communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every day, you'll look at what exists and find ways to make it better. What you'll be doing Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platform Run online AB tests and analyse them against the critical business KPIs Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts Provide technical leadership to drive technical and ML roadmap for search ranking and monetisation Help in recruiting new engineers. Interview, train, and mentor new team members We're excited if you have 8+ years of experience (or PhD with 6 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads Strong CS fundamentals. Should be able covert ideas to code with ease Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python) Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc. MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
18/07/2026
Full time
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku's continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world. About the role The depth of query, content and user understanding using ML is key to user happiness in their search journey. Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best of class AI powered products. Hence, communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every day, you'll look at what exists and find ways to make it better. What you'll be doing Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platform Run online AB tests and analyse them against the critical business KPIs Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts Provide technical leadership to drive technical and ML roadmap for search ranking and monetisation Help in recruiting new engineers. Interview, train, and mentor new team members We're excited if you have 8+ years of experience (or PhD with 6 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads Strong CS fundamentals. Should be able covert ideas to code with ease Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python) Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc. MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
Senior Low Latency Rust Engineer Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team This is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities. The role is to provide senior, low-latency systems and application framework engineering (skilled in Java, C++ , Rust, KDB, market data, algorithmic trading technology) within the London Based High Performance Architectures (HPA ) team. The team require a specialist on algorithmic trading systems utilities including but not limited to market data replay and back test/simulation utilities. The HPA organization are a high skilled enablement group of Subject Matter experts - who produce application frameworks and engage with application engineers to enable application Modernisation to over 100 teams across Citi with a concentration on low latency eTrading platforms in Markets Technology. Responsibilities include (but not limited to): 90% hands on in the Rust or Java codebase. We build microservices based event sourcing systems on a low latency in house framework. Response times in the 10 microsecond to 100 microsecond range. Lead integration of functions to meet goals, deploy new products, and enhance processes Analyse complex business processes, system processes, and industry standards to define and develop solutions to high level problems Provide world class expertise in area of Java low latency development. Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals Consult with end users to identify system function specifications and incorporate into overall system design Influence and negotiate with senior leaders and communicate with external parties Happy to work with and educate and support/mentor Junior developers and less experienced senior Java developers. Key Skills and Experience required Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development In-depth experience with Algorithmic Trading application development, preferably in low latency environment Detailed comprehension and experience with Market Data handling and associated technologies (such as time-series databases e.g. KDB) Demonstrated leadership, project management, and development skills Passion for coding excellent, commercial grade, mission critical Java frameworks based on event sourcing microservices. Complete knowledge of modern Java, the JVM, the Linux Operating system, system calls and Kernel. Knowledge of TCP and other IP based network protocol technologies including hardware accelerated kernel bypass e.g. Solarflare OpenOnload Performance assessment and targeted tuning. Design and architectural elegance. Experience in implementing projects Great communicator with high EQ. Ability to occasionally produce clear diagrammatic documentation and model key aspects in UML sequence diagrams. Relationship and consensus building skills Nice to have Background in C++ This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review. Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
16/07/2026
Full time
Senior Low Latency Rust Engineer Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team This is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities. The role is to provide senior, low-latency systems and application framework engineering (skilled in Java, C++ , Rust, KDB, market data, algorithmic trading technology) within the London Based High Performance Architectures (HPA ) team. The team require a specialist on algorithmic trading systems utilities including but not limited to market data replay and back test/simulation utilities. The HPA organization are a high skilled enablement group of Subject Matter experts - who produce application frameworks and engage with application engineers to enable application Modernisation to over 100 teams across Citi with a concentration on low latency eTrading platforms in Markets Technology. Responsibilities include (but not limited to): 90% hands on in the Rust or Java codebase. We build microservices based event sourcing systems on a low latency in house framework. Response times in the 10 microsecond to 100 microsecond range. Lead integration of functions to meet goals, deploy new products, and enhance processes Analyse complex business processes, system processes, and industry standards to define and develop solutions to high level problems Provide world class expertise in area of Java low latency development. Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals Consult with end users to identify system function specifications and incorporate into overall system design Influence and negotiate with senior leaders and communicate with external parties Happy to work with and educate and support/mentor Junior developers and less experienced senior Java developers. Key Skills and Experience required Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development In-depth experience with Algorithmic Trading application development, preferably in low latency environment Detailed comprehension and experience with Market Data handling and associated technologies (such as time-series databases e.g. KDB) Demonstrated leadership, project management, and development skills Passion for coding excellent, commercial grade, mission critical Java frameworks based on event sourcing microservices. Complete knowledge of modern Java, the JVM, the Linux Operating system, system calls and Kernel. Knowledge of TCP and other IP based network protocol technologies including hardware accelerated kernel bypass e.g. Solarflare OpenOnload Performance assessment and targeted tuning. Design and architectural elegance. Experience in implementing projects Great communicator with high EQ. Ability to occasionally produce clear diagrammatic documentation and model key aspects in UML sequence diagrams. Relationship and consensus building skills Nice to have Background in C++ This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review. Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialized hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware aware AI algorithms and AI aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. The Team Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence and graph based data. We're based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of what we're all about is to read one of our papers or an article on our blog. If you're excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore's next generation of AI hardware. About you Essential: Master's, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning - compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: Mathematics skills to support the above: calculus, probability theory and linear algebra. Experience submitting papers to international scientific conferences or workshops. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
16/07/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialized hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware aware AI algorithms and AI aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. The Team Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence and graph based data. We're based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of what we're all about is to read one of our papers or an article on our blog. If you're excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore's next generation of AI hardware. About you Essential: Master's, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning - compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: Mathematics skills to support the above: calculus, probability theory and linear algebra. Experience submitting papers to international scientific conferences or workshops. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
About Waystone Waystone is a leading asset servicing solutions provider of institutional governance, administration, risk and compliance services to financial institutions. With over 25 years' experience and a comprehensive range of specialist services to its name, Waystone helps our clients structure, operate and grow through our expertise, innovation and digitisation, backed by the operational scale to support global expansion Summary Reporting to the Chief Technology Officer, the Head of Digital and AI Design will be an integral part of the team's and organisation's success. We are seeking an experienced and forward thinking leader to own the design of our digital and AI agenda - finding where digital and AI can create value across the ManCo business, shaping those opportunities into well defined solutions, and building and owning the roadmap that brings them to life. This is a design, discovery and roadmap leadership role. The Head of Digital and AI Design leads a team that identifies opportunities, re engineers processes, and defines solutions to the point they can be handed to delivery teams to build - owning the "what" and the "why", while delivery owns the "how". A core focus of the role is developing a high performance team culture, championing individual growth, team wellbeing, and a strong sense of shared purpose, all within the control standards expected of a regulated financial services environment. Key Responsibilities Digital & AI Strategy and Roadmap Own and drive the digital and AI vision and roadmap, aligned to business strategy and client needs. Build, own and continuously evolve a prioritised pipeline of digital and AI initiatives, sequenced by value, effort, risk and strategic fit. Maintain an active, informed view of the AI and digital landscape and translate it into opportunities relevant to Waystone. Opportunity Discovery & Process Re engineering Lead discovery and scoping of digital and AI initiatives across fund administration, compliance, onboarding, reporting and internal operations. Oversee the analysis of current state operations and client journeys to inform future state designs. Identify opportunities to streamline processes, reduce manual effort and improve data flow, guiding process re engineering aligned with platform capabilities and compliance standards. Solution Design & Definition Translate business needs and qualified opportunities into clearly defined solution concepts - scope, intended outcomes and success measures - ready to hand to delivery teams. Drive structured requirements gathering and solution design that bridges business needs and technical delivery, with clear acceptance criteria. Champion user centric design across digital and AI solutions, using concepts, journey maps and lightweight visuals to communicate intent. Team Leadership, Culture & Development Lead, develop and inspire a team of digital and AI solution designers and application owners. Create a high performance, inclusive team culture built on trust, accountability, collaboration and continuous improvement. Invest in team members' development through coaching, career planning, skills training and performance feedback. Foster psychological safety and open communication, supporting both individual wellbeing and collective achievement. Define clear goals and priorities, ensure team alignment to business objectives, and remove blockers to success. Stakeholder Engagement & Change Leadership Collaborate with stakeholders across Compliance, Operations, IT, Product and Client Services to ensure alignment and prioritisation of digital and AI initiatives. Champion the adoption of digital and AI tools across the ManCo business, building organisational appetite and understanding. Act as a key liaison between business and technology teams, translating operational needs into clear, actionable requirements. Track expected versus realised value of initiatives and feed the learnings back into the roadmap. Governance & Responsible AI Ensure digital and AI opportunities are shaped with appropriate regard to regulatory, data protection, security and responsible AI considerations from the outset. Partner with Risk, Compliance, Legal and Information Security - and with delivery teams - to ensure initiatives are deliverable within the firm's control framework. Digital Platform & Systems Oversight Work closely with Product, IT and vendors to select, optimise and shape solutions on core platforms (e.g., Salesforce, Appian, the Microsoft / Azure estate, fund administration systems, client portals and workflow automation). Support the integration of systems to create seamless, scalable and secure digital ecosystems. Ensure data consistency, integrity and compliance with regulatory standards. Skills & Experience Proven experience leading digital transformation, digital/AI design or operational digitisation in financial services, ideally in fund administration, asset management, or ManCo services. Strong background in discovery, business and systems analysis, process design, solution design and roadmap ownership. Demonstrated ability to identify and shape technology, digital and AI opportunities and translate them into well defined solutions. Demonstrated success in building, leading and developing high performing teams. Ability to shape and sustain a positive, inclusive and growth oriented team culture. Excellent interpersonal skills, with the ability to coach, mentor and support individuals at different levels. Strong understanding of business operations and client workflows in a regulated financial environment. Excellent communication, stakeholder management and change leadership skills. Desirable Experience with platforms such as Salesforce, Appian, Microsoft Azure / M365, fund administration systems, or workflow automation tools. Awareness of generative AI, intelligent automation and agentic capabilities and their practical applications. Familiarity with discovery, roadmapping and prioritisation techniques. Familiarity with Agile / Lean methodologies and digital delivery frameworks. Knowledge of compliance, regulatory and reporting obligations in fund services. Personal Attributes Curious, with a natural eye for spotting opportunities. Strategic thinker with a focus on long term business outcomes. Strong problem solving abilities and decision making skills. Comfortable balancing innovation with the control needs of a regulated firm. Ability to work under pressure and handle multiple priorities. Collaborative and able to work across departments.
15/07/2026
Full time
About Waystone Waystone is a leading asset servicing solutions provider of institutional governance, administration, risk and compliance services to financial institutions. With over 25 years' experience and a comprehensive range of specialist services to its name, Waystone helps our clients structure, operate and grow through our expertise, innovation and digitisation, backed by the operational scale to support global expansion Summary Reporting to the Chief Technology Officer, the Head of Digital and AI Design will be an integral part of the team's and organisation's success. We are seeking an experienced and forward thinking leader to own the design of our digital and AI agenda - finding where digital and AI can create value across the ManCo business, shaping those opportunities into well defined solutions, and building and owning the roadmap that brings them to life. This is a design, discovery and roadmap leadership role. The Head of Digital and AI Design leads a team that identifies opportunities, re engineers processes, and defines solutions to the point they can be handed to delivery teams to build - owning the "what" and the "why", while delivery owns the "how". A core focus of the role is developing a high performance team culture, championing individual growth, team wellbeing, and a strong sense of shared purpose, all within the control standards expected of a regulated financial services environment. Key Responsibilities Digital & AI Strategy and Roadmap Own and drive the digital and AI vision and roadmap, aligned to business strategy and client needs. Build, own and continuously evolve a prioritised pipeline of digital and AI initiatives, sequenced by value, effort, risk and strategic fit. Maintain an active, informed view of the AI and digital landscape and translate it into opportunities relevant to Waystone. Opportunity Discovery & Process Re engineering Lead discovery and scoping of digital and AI initiatives across fund administration, compliance, onboarding, reporting and internal operations. Oversee the analysis of current state operations and client journeys to inform future state designs. Identify opportunities to streamline processes, reduce manual effort and improve data flow, guiding process re engineering aligned with platform capabilities and compliance standards. Solution Design & Definition Translate business needs and qualified opportunities into clearly defined solution concepts - scope, intended outcomes and success measures - ready to hand to delivery teams. Drive structured requirements gathering and solution design that bridges business needs and technical delivery, with clear acceptance criteria. Champion user centric design across digital and AI solutions, using concepts, journey maps and lightweight visuals to communicate intent. Team Leadership, Culture & Development Lead, develop and inspire a team of digital and AI solution designers and application owners. Create a high performance, inclusive team culture built on trust, accountability, collaboration and continuous improvement. Invest in team members' development through coaching, career planning, skills training and performance feedback. Foster psychological safety and open communication, supporting both individual wellbeing and collective achievement. Define clear goals and priorities, ensure team alignment to business objectives, and remove blockers to success. Stakeholder Engagement & Change Leadership Collaborate with stakeholders across Compliance, Operations, IT, Product and Client Services to ensure alignment and prioritisation of digital and AI initiatives. Champion the adoption of digital and AI tools across the ManCo business, building organisational appetite and understanding. Act as a key liaison between business and technology teams, translating operational needs into clear, actionable requirements. Track expected versus realised value of initiatives and feed the learnings back into the roadmap. Governance & Responsible AI Ensure digital and AI opportunities are shaped with appropriate regard to regulatory, data protection, security and responsible AI considerations from the outset. Partner with Risk, Compliance, Legal and Information Security - and with delivery teams - to ensure initiatives are deliverable within the firm's control framework. Digital Platform & Systems Oversight Work closely with Product, IT and vendors to select, optimise and shape solutions on core platforms (e.g., Salesforce, Appian, the Microsoft / Azure estate, fund administration systems, client portals and workflow automation). Support the integration of systems to create seamless, scalable and secure digital ecosystems. Ensure data consistency, integrity and compliance with regulatory standards. Skills & Experience Proven experience leading digital transformation, digital/AI design or operational digitisation in financial services, ideally in fund administration, asset management, or ManCo services. Strong background in discovery, business and systems analysis, process design, solution design and roadmap ownership. Demonstrated ability to identify and shape technology, digital and AI opportunities and translate them into well defined solutions. Demonstrated success in building, leading and developing high performing teams. Ability to shape and sustain a positive, inclusive and growth oriented team culture. Excellent interpersonal skills, with the ability to coach, mentor and support individuals at different levels. Strong understanding of business operations and client workflows in a regulated financial environment. Excellent communication, stakeholder management and change leadership skills. Desirable Experience with platforms such as Salesforce, Appian, Microsoft Azure / M365, fund administration systems, or workflow automation tools. Awareness of generative AI, intelligent automation and agentic capabilities and their practical applications. Familiarity with discovery, roadmapping and prioritisation techniques. Familiarity with Agile / Lean methodologies and digital delivery frameworks. Knowledge of compliance, regulatory and reporting obligations in fund services. Personal Attributes Curious, with a natural eye for spotting opportunities. Strategic thinker with a focus on long term business outcomes. Strong problem solving abilities and decision making skills. Comfortable balancing innovation with the control needs of a regulated firm. Ability to work under pressure and handle multiple priorities. Collaborative and able to work across departments.
The Principal Technical Animator (Gameplay) will help define the technical vision, architectural framework, and long-term strategy for character animation integration across the studio. In this highly influential role, you will champion innovation, driving the adoption of cutting edge technologies to ensure our games achieve world class animation quality and responsiveness. You will serve as a technical authority on gameplay animation, solving the studio's complex R&D challenges while collaborating with design, animation and engineering to establish future proof pipelines. While not a people manager, you will inspire, mentor, and elevate the technical capabilities of the entire animation department. Duties and Responsibilities Architect and oversee the high level design of gameplay animation systems, ensuring scalability, performance, and seamless integration across complex real time systems. Drive R&D initiatives to evaluate and implement cutting edge animation technologies (e.g., advanced Motion Matching, machine learning/AI animation, next gen physics). Partner with Engineering and Tech Animation leadership to implement project wide animation roadmaps and toolsets. Solve deep, complex runtime bugs and drive animation optimisation efforts to meet strict performance and memory budgets. Define and document technical standards, best practices, and pipeline workflows for the wider technical animation team. Collaborate closely with Design and Animation leads to heavily iterate on and perfect 3C mechanics (character, camera, controls), maximizing game feel. Actively mentor and upskill senior and mid level technical animators through code/blueprint reviews and hands on guidance. Essential Skills, Attributes and Experience Extensive proven experience architecting and integrating gameplay animation systems for AAA titles using Unreal Engine. Master level expertise in Unreal Engine's animation suite (Anim Blueprints, Motion Matching, Control Rig, State Machines, and Sequencer). Deep technical understanding of low level animation concepts, including runtime optimisation, memory management, and threading for animation. Exceptional cross discipline communication skills, with a proven track record of aligning Art, Design, and Engineering directors on complex technical visions. Expertise in feature breakdown and scoping, with the ability to translate abstract creative pillars into robust, production ready plans. A profound understanding of gameplay mechanics, game feel, and the mathematical principles behind smooth character movement and physics. A portfolio or reel demonstrating a history of solving highly complex, innovative technical animation challenges in shipped titles. Highly Desirable Strong proficiency in C++ for extending Unreal Engine's animation system, alongside Python for pipeline tool automation. Experience contributing to proprietary engine tools or custom modifications to Unreal's core animation code. Production experience with advanced DCC tools, including Maya API, MotionBuilder, or Houdini for runtime or pipeline integration. Background in traditional animation or motion capture data manipulation to better bridge the gap between art and code. Hangar 13 prides itself on the diversity of its team members, partners, and communities. For this reason, we remain committed to providing equal employment opportunity in all aspects of the employment relationship, from recruitment and hiring through compensation, benefits, discipline and termination. As an equal opportunity employer, we are also committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation(s) to participate in the job application and/or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need to request reasonable accommodation.
14/07/2026
Full time
The Principal Technical Animator (Gameplay) will help define the technical vision, architectural framework, and long-term strategy for character animation integration across the studio. In this highly influential role, you will champion innovation, driving the adoption of cutting edge technologies to ensure our games achieve world class animation quality and responsiveness. You will serve as a technical authority on gameplay animation, solving the studio's complex R&D challenges while collaborating with design, animation and engineering to establish future proof pipelines. While not a people manager, you will inspire, mentor, and elevate the technical capabilities of the entire animation department. Duties and Responsibilities Architect and oversee the high level design of gameplay animation systems, ensuring scalability, performance, and seamless integration across complex real time systems. Drive R&D initiatives to evaluate and implement cutting edge animation technologies (e.g., advanced Motion Matching, machine learning/AI animation, next gen physics). Partner with Engineering and Tech Animation leadership to implement project wide animation roadmaps and toolsets. Solve deep, complex runtime bugs and drive animation optimisation efforts to meet strict performance and memory budgets. Define and document technical standards, best practices, and pipeline workflows for the wider technical animation team. Collaborate closely with Design and Animation leads to heavily iterate on and perfect 3C mechanics (character, camera, controls), maximizing game feel. Actively mentor and upskill senior and mid level technical animators through code/blueprint reviews and hands on guidance. Essential Skills, Attributes and Experience Extensive proven experience architecting and integrating gameplay animation systems for AAA titles using Unreal Engine. Master level expertise in Unreal Engine's animation suite (Anim Blueprints, Motion Matching, Control Rig, State Machines, and Sequencer). Deep technical understanding of low level animation concepts, including runtime optimisation, memory management, and threading for animation. Exceptional cross discipline communication skills, with a proven track record of aligning Art, Design, and Engineering directors on complex technical visions. Expertise in feature breakdown and scoping, with the ability to translate abstract creative pillars into robust, production ready plans. A profound understanding of gameplay mechanics, game feel, and the mathematical principles behind smooth character movement and physics. A portfolio or reel demonstrating a history of solving highly complex, innovative technical animation challenges in shipped titles. Highly Desirable Strong proficiency in C++ for extending Unreal Engine's animation system, alongside Python for pipeline tool automation. Experience contributing to proprietary engine tools or custom modifications to Unreal's core animation code. Production experience with advanced DCC tools, including Maya API, MotionBuilder, or Houdini for runtime or pipeline integration. Background in traditional animation or motion capture data manipulation to better bridge the gap between art and code. Hangar 13 prides itself on the diversity of its team members, partners, and communities. For this reason, we remain committed to providing equal employment opportunity in all aspects of the employment relationship, from recruitment and hiring through compensation, benefits, discipline and termination. As an equal opportunity employer, we are also committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation(s) to participate in the job application and/or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need to request reasonable accommodation.
For additional information, please review . Senior Low Latency Rust Engineer Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team This is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities.The role is to provide senior, low-latency systems and application framework engineering (skilled in Java, C++ , Rust, KDB, market data, algorithmic trading technology) within the London Based High Performance Architectures (HPA ) team. The team require a specialist on algorithmic trading systems utilities including but not limited to market data replay and back test/simulation utilities. The HPA organization are a high skilled enablement group of Subject Matter experts - who produce application frameworks and engage with application engineers to enable application Modernisation to over 100 teams across Citi with a concentration on low latency eTrading platforms in Markets Technology. Responsibilities include (but not limited to): 90% hands-on in the Rust or Java codebase. We build microservices based event sourcing systems on a low latency in-house framework. Response times in the 10 microsecond to 100 microsecond range. Lead integration of functions to meet goals, deploy new products, and enhance processes Analyse complex business processes, system processes, and industry standards to define and develop solutions to high level problems Provide world class expertise in area of Java low latency development. Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals Consult with end users to identify system function specifications and incorporate into overall system design Influence and negotiate with senior leaders and communicate with external parties Happy to work with and educate and support/mentor Junior developers and less experienced senior Java developers. Key Skills and Experience required Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development In-depth experience with Algorithmic Trading application development, preferably in low latency environment Detailed comprehension and experience with Market Data handling and associated technologies (such as time-series databases e.g. KDB) Demonstrated leadership, project management, and development skills Passion for coding excellent, commercial grade, mission critical Java frameworks based on event sourcing microservices. Complete knowledge of modern Java, the JVM, the Linux Operating system, system calls and Kernel. Knowledge of TCP and other IP based network protocol technologies including hardware accelerated kernel bypass e.g. Solarflare OpenOnload Performance assessment and targeted tuning. Design and architectural elegance. Experience in implementing projects Great communicator with high EQ. Ability to occasionally produce clear diagrammatic documentation and model key aspects in UML sequence diagrams. Relationship and consensus building skills Nice to have Background in C++This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.
13/07/2026
Full time
For additional information, please review . Senior Low Latency Rust Engineer Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team This is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities.The role is to provide senior, low-latency systems and application framework engineering (skilled in Java, C++ , Rust, KDB, market data, algorithmic trading technology) within the London Based High Performance Architectures (HPA ) team. The team require a specialist on algorithmic trading systems utilities including but not limited to market data replay and back test/simulation utilities. The HPA organization are a high skilled enablement group of Subject Matter experts - who produce application frameworks and engage with application engineers to enable application Modernisation to over 100 teams across Citi with a concentration on low latency eTrading platforms in Markets Technology. Responsibilities include (but not limited to): 90% hands-on in the Rust or Java codebase. We build microservices based event sourcing systems on a low latency in-house framework. Response times in the 10 microsecond to 100 microsecond range. Lead integration of functions to meet goals, deploy new products, and enhance processes Analyse complex business processes, system processes, and industry standards to define and develop solutions to high level problems Provide world class expertise in area of Java low latency development. Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals Consult with end users to identify system function specifications and incorporate into overall system design Influence and negotiate with senior leaders and communicate with external parties Happy to work with and educate and support/mentor Junior developers and less experienced senior Java developers. Key Skills and Experience required Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development In-depth experience with Algorithmic Trading application development, preferably in low latency environment Detailed comprehension and experience with Market Data handling and associated technologies (such as time-series databases e.g. KDB) Demonstrated leadership, project management, and development skills Passion for coding excellent, commercial grade, mission critical Java frameworks based on event sourcing microservices. Complete knowledge of modern Java, the JVM, the Linux Operating system, system calls and Kernel. Knowledge of TCP and other IP based network protocol technologies including hardware accelerated kernel bypass e.g. Solarflare OpenOnload Performance assessment and targeted tuning. Design and architectural elegance. Experience in implementing projects Great communicator with high EQ. Ability to occasionally produce clear diagrammatic documentation and model key aspects in UML sequence diagrams. Relationship and consensus building skills Nice to have Background in C++This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.
Principal AI EngineerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R114326 Principal AI Engineer Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes? About the team: Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster. About the role: As a Principal AI Engineer, you will be the technical lead for an embedded Innovation Squad, owning technical execution from discovery through to production. You will assess and harden existing AI prototypes, deliver new ones, and establish the agentic AI patterns, orchestration, tool use, memory, and retrieval that other squads reuse. You are the senior source of expertise on AI architecture, integration, and delivery.You will work directly with internal stakeholders and end users in the host function, finalising requirements, making the architectural calls, and codifying validated solutions into reusable patterns, reference implementations, and starter kits. You may also provide sizing, infrastructure, and budget recommendations, and you will mentor and elevate the engineers around you. Key Responsibilities: Own technical execution from discovery to production; build, assess, and harden prototypes and proofs of concept, and deliver new ones. Design and govern reusable agentic AI patterns (orchestration, tool use, memory, retrieval). Ensure delivery meets architecture, security and data-governance standards; recommend infrastructure, hosting and data residency. Codify validated solutions into patterns, reference implementations, and starter kits so they can be picked up and scaled across other functions. Provide design input, finalise requirements, and work directly with internal stakeholders and end users in the host function. Write specifications, fix complex bugs, and design complex data models. Act as the primary technical contact for external resources and the squad's go-to on coding and AI. Establish baselines and report measurable outcomes for every initiative. Maintain visibility of in-flight AI pilots within the function to prevent duplication and surface candidates for reuse. Ensure alignment with enterprise non-negotiables: security, compliance and central technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 10+ years in software engineering, with hands-on AI system design, build or integration, and a track record of taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI / LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. Ways of working: Thrives in ambiguity, framing the problem, extracting defined spec, and prioritises shipping validated outcomes over perfect solutions, moving pilots to production at pace. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Leadership and delivery management: Plans and sequences work, manages scope, dependencies and priorities, removes blockers, and drives delivery to keep innovation moving. Communication and influence: Presents concisely to senior management, host-function stakeholders and cross-functional teams, and builds buy-in and drives technical decisions across. Commercial awareness: Budget-aware; partners with internal and external resources, including managed services and staff augmentation. Measurement: Establishes baselines and instruments solutions to track productivity, cost and quality outcomes from pilot through scale. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business- A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
12/07/2026
Full time
Principal AI EngineerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R114326 Principal AI Engineer Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes? About the team: Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster. About the role: As a Principal AI Engineer, you will be the technical lead for an embedded Innovation Squad, owning technical execution from discovery through to production. You will assess and harden existing AI prototypes, deliver new ones, and establish the agentic AI patterns, orchestration, tool use, memory, and retrieval that other squads reuse. You are the senior source of expertise on AI architecture, integration, and delivery.You will work directly with internal stakeholders and end users in the host function, finalising requirements, making the architectural calls, and codifying validated solutions into reusable patterns, reference implementations, and starter kits. You may also provide sizing, infrastructure, and budget recommendations, and you will mentor and elevate the engineers around you. Key Responsibilities: Own technical execution from discovery to production; build, assess, and harden prototypes and proofs of concept, and deliver new ones. Design and govern reusable agentic AI patterns (orchestration, tool use, memory, retrieval). Ensure delivery meets architecture, security and data-governance standards; recommend infrastructure, hosting and data residency. Codify validated solutions into patterns, reference implementations, and starter kits so they can be picked up and scaled across other functions. Provide design input, finalise requirements, and work directly with internal stakeholders and end users in the host function. Write specifications, fix complex bugs, and design complex data models. Act as the primary technical contact for external resources and the squad's go-to on coding and AI. Establish baselines and report measurable outcomes for every initiative. Maintain visibility of in-flight AI pilots within the function to prevent duplication and surface candidates for reuse. Ensure alignment with enterprise non-negotiables: security, compliance and central technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 10+ years in software engineering, with hands-on AI system design, build or integration, and a track record of taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI / LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. Ways of working: Thrives in ambiguity, framing the problem, extracting defined spec, and prioritises shipping validated outcomes over perfect solutions, moving pilots to production at pace. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Leadership and delivery management: Plans and sequences work, manages scope, dependencies and priorities, removes blockers, and drives delivery to keep innovation moving. Communication and influence: Presents concisely to senior management, host-function stakeholders and cross-functional teams, and builds buy-in and drives technical decisions across. Commercial awareness: Budget-aware; partners with internal and external resources, including managed services and staff augmentation. Measurement: Establishes baselines and instruments solutions to track productivity, cost and quality outcomes from pilot through scale. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business- A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
# Staff Applied ML Engineer - Financial Crimeat Wise • London, United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Staff Applied ML Engineer - Financial Crime57m agoW Staff Applied ML Engineer - Financial CrimeWise10Machine Learning Engineering, Financial CrimeFull-timeGBP 145000 - 182000 yearly + RSUsLondon, United KingdomApply Job Job DescriptionWise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer.About the role: Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in. Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains. This is a greenfield opportunity - you'll be setting the direction for how Wise applies modern ML to financial crime risk, with strong investment and engagement from senior leadership.How we work: Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research and architecture decisions through to production deployment and impact measurement. We value engineers who shape direction, not just execute tickets.What will you be working on? Designing and shipping ML and deep learning models for financial crime detection - sequence-based, graph-based, attention-based - serving real-time decisions at Wise's scale. Defining the architecture strategy for how Wise applies modern ML to risk - which model families, which serving patterns, which training paradigms. Building the reusable end-to-end pipeline pattern - from experimentation through training to production deployment - that future models follow. Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains. Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible. Mentoring engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making.What do you need? Production experience shipping deep learning models at scale - systems serving real traffic under latency constraints. Ability to make architecture-level decisions independently - model selection, training infrastructure, serving strategy - and explain the reasoning and tradeoffs. Experience designing ML systems with hard latency and throughput requirements, including optimisation decisions (quantization, pre-computed embeddings, batching strategies). Strong fundamentals in deep learning: gradient dynamics, attention mechanisms, graph message-passing, sequence modelling. Track record of influencing technical strategy across teams - you don't just build, you shape direction. Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration.Nice to Have: Experience in FinCrime, fraud detection, AML, or regulated financial services. Experience with graph-based methods (GNNs, entity resolution, link analysis) in production. Foundation model fine-tuning or LLM evaluation experience. Experience establishing modern ML practices in organisations scaling their ML capabilities. Skills Required Deep Learning Machine Learning Architecture System Design (latency/throughput) Python PyTorch Distributed Training ML Pipeline Orchestration Sequence Modelling Graph Neural Networks Attention Mechanisms Financial Crime Detection Fraud Detection AML Foundation Models LLM Evaluation
12/07/2026
Full time
# Staff Applied ML Engineer - Financial Crimeat Wise • London, United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Staff Applied ML Engineer - Financial Crime57m agoW Staff Applied ML Engineer - Financial CrimeWise10Machine Learning Engineering, Financial CrimeFull-timeGBP 145000 - 182000 yearly + RSUsLondon, United KingdomApply Job Job DescriptionWise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer.About the role: Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in. Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains. This is a greenfield opportunity - you'll be setting the direction for how Wise applies modern ML to financial crime risk, with strong investment and engagement from senior leadership.How we work: Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research and architecture decisions through to production deployment and impact measurement. We value engineers who shape direction, not just execute tickets.What will you be working on? Designing and shipping ML and deep learning models for financial crime detection - sequence-based, graph-based, attention-based - serving real-time decisions at Wise's scale. Defining the architecture strategy for how Wise applies modern ML to risk - which model families, which serving patterns, which training paradigms. Building the reusable end-to-end pipeline pattern - from experimentation through training to production deployment - that future models follow. Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains. Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible. Mentoring engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making.What do you need? Production experience shipping deep learning models at scale - systems serving real traffic under latency constraints. Ability to make architecture-level decisions independently - model selection, training infrastructure, serving strategy - and explain the reasoning and tradeoffs. Experience designing ML systems with hard latency and throughput requirements, including optimisation decisions (quantization, pre-computed embeddings, batching strategies). Strong fundamentals in deep learning: gradient dynamics, attention mechanisms, graph message-passing, sequence modelling. Track record of influencing technical strategy across teams - you don't just build, you shape direction. Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration.Nice to Have: Experience in FinCrime, fraud detection, AML, or regulated financial services. Experience with graph-based methods (GNNs, entity resolution, link analysis) in production. Foundation model fine-tuning or LLM evaluation experience. Experience establishing modern ML practices in organisations scaling their ML capabilities. Skills Required Deep Learning Machine Learning Architecture System Design (latency/throughput) Python PyTorch Distributed Training ML Pipeline Orchestration Sequence Modelling Graph Neural Networks Attention Mechanisms Financial Crime Detection Fraud Detection AML Foundation Models LLM Evaluation
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Role Multiverse is the UK's largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development. Multiverse is in a uniquely strong position to do that, and getting it right has implications beyond the company: for the UK tech sector and the broader economy. The AI Transformation team exists to make that real, starting with Multiverse itself. This is not a team that bolts AI onto the edges of the business or ships a handful of internal productivity tools. The mandate is bigger: to rebuild how the company actually works, function by function, and to establish the engineering practices that make Multiverse an AI first company from the core out. That work matters twice over. Get it right inside Multiverse and we move faster, serve learners better, and operate at a level few organisations can match. But Multiverse also exists to build the workforce that every other company is reaching for. The way we transform ourselves becomes the standard we set for everyone else. You are not just changing one company, you are building the blueprint others will follow. The team is one small, focused squad, accountable for outcomes end to end. You work closely with the wider engineering org building Multiverse's customer facing product, and alongside the teams whose work you are helping to reinvent. The structure is flat and fast. No shared queues, no bureaucratic overhead between having an idea and shipping it. Whilst we are building something entirely new, Multiverse has an established product, existing infrastructure, and engineering teams in London and Berlin. You need to be as comfortable integrating existing systems and working across team boundaries as you are building new ones from scratch. What You Will Do Own the architecture of our internal agentic operating system. The team's work spans the full surface of how Multiverse operates. You own the technical architecture of our agentic operating system: the agent orchestration, context strategy, tool integrations, evaluation framework, and production operation. Your design decisions shape what is possible for human and AI teams at Multiverse. Ship production AI agent systems. This is a building role. You write code, review code, and own the quality of what goes to production. You will personally build and deliver significant agent systems. On a squad this size, nobody leads from a whiteboard. Design multi-agent coordination. Task decomposition across agents, handoff protocols, shared state management, orchestration logic. You know the difference between agents that genuinely coordinate and agents that run sequentially and hope for the best. You design the patterns that make multi-agent systems reliable. Build the evaluation and quality infrastructure. Automated eval pipelines, human in the loop review systems, regression testing for prompt changes, domain-specific quality metrics. You treat evaluation as a first class engineering concern and build the systems that make it possible at scale. Drive cost engineering. Token economics, caching strategies, model routing, prompt optimisation. The cost profile of production AI systems requires active engineering attention, and you build the cost awareness and tooling into the architecture rather than bolting it on later. Build the integration layer that makes existing Multiverse systems agent accessible. APIs, MCPs, shared data contracts, and the tooling that connects agents to the platform, content systems, and the tools the company runs on. This means building real working relationships with engineering teams across London and designing interfaces that serve both sides well. Set the standard. You define patterns for prompt management, retrieval, guardrails, and testing that the wider team and eventually the whole organisation adopts - and that, in time, shape how the companies who learn from Multiverse do this too. You do this through code, documentation, and architectural decisions, not through mandates. Mentor the team. Code review, architectural guidance, pairing on the hardest problems. You are not a line manager, but your technical leadership directly shapes the growth of the engineers around you. What We Are Looking For Production AI Agent Engineering You have shipped multi agent systems or complex AI products to real users. You understand the engineering challenges that make agent systems a distinct discipline: Context management. Designing what enters the context window and what stays out. Retrieval strategies, chunking, conversation memory, summarisation, and the cost/quality trade offs of each. You have made these decisions in production and seen the consequences. Model selection and routing. Choosing the right model for each task based on capability, latency, cost, and reliability. Building routing logic that matches work to the appropriate model rather than defaulting to one. Cost engineering. Token economics, caching, prompt optimisation, batching. You know the difference between a prototype that works and a production system that works at sustainable cost. You have built systems where cost was an engineering constraint, not someone else's problem. Tool use and agent augmentation. Designing what capabilities agents can reach: tool descriptions that models use reliably, failure handling, MCPs or equivalent interfaces. You understand that the quality of the tool layer determines whether agents are useful or fragile. Multi agent coordination. Task decomposition across agents, handoff protocols, shared state, orchestration logic. You have built systems where multiple agents work together within a product domain and understand the architectural patterns that make coordination reliable. Evaluation and quality. Building eval frameworks for AI output: accuracy, helpfulness, safety, domain specific criteria. Automated pipelines and human in the loop review. You would not ship an agent system without a quality baseline. Product Thinking and Entrepreneurial Instinct On a small squad there is no gap between product thinking and engineering. You own the problem from user need to production system. You can sit with the people whose work you are transforming, understand their workflow, identify the highest value intervention, and build it without waiting for a product manager to write a spec. You have either built something yourself (a product, a startup, a project with real users) or operated with that founder mindset inside a larger organisation. You understand that speed matters and that shipping something useful beats polishing something theoretical. AI Native Engineering You build with Claude Code daily. You set context and constraints before generating code. You review AI output critically. You augment the tool with skills, system prompts, and domain context to make it effective. This is how the team works, and you help define what good looks like. Full Stack Delivery You work across the stack: LLM integration, backend services, data pipelines, and enough frontend to ship end to end. The boundaries between these layers dissolve in agent systems, and so should your willingness to work across them. Communication You can explain technical strategy to a CPO, walk a product manager through a cost trade off, and give direct feedback in code review. You represent the team's technical approach in cross functional forums with product, design, learning design, compliance, and other engineering teams. You document decisions, not just code. What Would Set You Apart Experience in EdTech, regulated content, or domains where AI output quality has compliance or accreditation implications. Background as a founding engineer or technical co founder. Published thinking or external contributions in AI engineering (talks, writing, open source). Experience designing platform layers that other teams build on. Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards. What We Are Not Looking For Pure ML research without production engineering experience. We need builders. Narrow specialism. This team works across the full stack of an AI product. If you only do infrastructure, or only do model training, or only do frontend, this is the wrong fit. People who need a detailed spec, a sprint plan, and a standup before they can write a line of code . click apply for full job details
09/07/2026
Full time
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Role Multiverse is the UK's largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development. Multiverse is in a uniquely strong position to do that, and getting it right has implications beyond the company: for the UK tech sector and the broader economy. The AI Transformation team exists to make that real, starting with Multiverse itself. This is not a team that bolts AI onto the edges of the business or ships a handful of internal productivity tools. The mandate is bigger: to rebuild how the company actually works, function by function, and to establish the engineering practices that make Multiverse an AI first company from the core out. That work matters twice over. Get it right inside Multiverse and we move faster, serve learners better, and operate at a level few organisations can match. But Multiverse also exists to build the workforce that every other company is reaching for. The way we transform ourselves becomes the standard we set for everyone else. You are not just changing one company, you are building the blueprint others will follow. The team is one small, focused squad, accountable for outcomes end to end. You work closely with the wider engineering org building Multiverse's customer facing product, and alongside the teams whose work you are helping to reinvent. The structure is flat and fast. No shared queues, no bureaucratic overhead between having an idea and shipping it. Whilst we are building something entirely new, Multiverse has an established product, existing infrastructure, and engineering teams in London and Berlin. You need to be as comfortable integrating existing systems and working across team boundaries as you are building new ones from scratch. What You Will Do Own the architecture of our internal agentic operating system. The team's work spans the full surface of how Multiverse operates. You own the technical architecture of our agentic operating system: the agent orchestration, context strategy, tool integrations, evaluation framework, and production operation. Your design decisions shape what is possible for human and AI teams at Multiverse. Ship production AI agent systems. This is a building role. You write code, review code, and own the quality of what goes to production. You will personally build and deliver significant agent systems. On a squad this size, nobody leads from a whiteboard. Design multi-agent coordination. Task decomposition across agents, handoff protocols, shared state management, orchestration logic. You know the difference between agents that genuinely coordinate and agents that run sequentially and hope for the best. You design the patterns that make multi-agent systems reliable. Build the evaluation and quality infrastructure. Automated eval pipelines, human in the loop review systems, regression testing for prompt changes, domain-specific quality metrics. You treat evaluation as a first class engineering concern and build the systems that make it possible at scale. Drive cost engineering. Token economics, caching strategies, model routing, prompt optimisation. The cost profile of production AI systems requires active engineering attention, and you build the cost awareness and tooling into the architecture rather than bolting it on later. Build the integration layer that makes existing Multiverse systems agent accessible. APIs, MCPs, shared data contracts, and the tooling that connects agents to the platform, content systems, and the tools the company runs on. This means building real working relationships with engineering teams across London and designing interfaces that serve both sides well. Set the standard. You define patterns for prompt management, retrieval, guardrails, and testing that the wider team and eventually the whole organisation adopts - and that, in time, shape how the companies who learn from Multiverse do this too. You do this through code, documentation, and architectural decisions, not through mandates. Mentor the team. Code review, architectural guidance, pairing on the hardest problems. You are not a line manager, but your technical leadership directly shapes the growth of the engineers around you. What We Are Looking For Production AI Agent Engineering You have shipped multi agent systems or complex AI products to real users. You understand the engineering challenges that make agent systems a distinct discipline: Context management. Designing what enters the context window and what stays out. Retrieval strategies, chunking, conversation memory, summarisation, and the cost/quality trade offs of each. You have made these decisions in production and seen the consequences. Model selection and routing. Choosing the right model for each task based on capability, latency, cost, and reliability. Building routing logic that matches work to the appropriate model rather than defaulting to one. Cost engineering. Token economics, caching, prompt optimisation, batching. You know the difference between a prototype that works and a production system that works at sustainable cost. You have built systems where cost was an engineering constraint, not someone else's problem. Tool use and agent augmentation. Designing what capabilities agents can reach: tool descriptions that models use reliably, failure handling, MCPs or equivalent interfaces. You understand that the quality of the tool layer determines whether agents are useful or fragile. Multi agent coordination. Task decomposition across agents, handoff protocols, shared state, orchestration logic. You have built systems where multiple agents work together within a product domain and understand the architectural patterns that make coordination reliable. Evaluation and quality. Building eval frameworks for AI output: accuracy, helpfulness, safety, domain specific criteria. Automated pipelines and human in the loop review. You would not ship an agent system without a quality baseline. Product Thinking and Entrepreneurial Instinct On a small squad there is no gap between product thinking and engineering. You own the problem from user need to production system. You can sit with the people whose work you are transforming, understand their workflow, identify the highest value intervention, and build it without waiting for a product manager to write a spec. You have either built something yourself (a product, a startup, a project with real users) or operated with that founder mindset inside a larger organisation. You understand that speed matters and that shipping something useful beats polishing something theoretical. AI Native Engineering You build with Claude Code daily. You set context and constraints before generating code. You review AI output critically. You augment the tool with skills, system prompts, and domain context to make it effective. This is how the team works, and you help define what good looks like. Full Stack Delivery You work across the stack: LLM integration, backend services, data pipelines, and enough frontend to ship end to end. The boundaries between these layers dissolve in agent systems, and so should your willingness to work across them. Communication You can explain technical strategy to a CPO, walk a product manager through a cost trade off, and give direct feedback in code review. You represent the team's technical approach in cross functional forums with product, design, learning design, compliance, and other engineering teams. You document decisions, not just code. What Would Set You Apart Experience in EdTech, regulated content, or domains where AI output quality has compliance or accreditation implications. Background as a founding engineer or technical co founder. Published thinking or external contributions in AI engineering (talks, writing, open source). Experience designing platform layers that other teams build on. Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards. What We Are Not Looking For Pure ML research without production engineering experience. We need builders. Narrow specialism. This team works across the full stack of an AI product. If you only do infrastructure, or only do model training, or only do frontend, this is the wrong fit. People who need a detailed spec, a sprint plan, and a standup before they can write a line of code . click apply for full job details
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long term investment, we are delivering key technology into the fast growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware aware AI algorithms and AI aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. The Team Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence and graph based data. We're based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of to read one of our papers or an article on our blog. If you're excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore's next generation of AI hardware. About you: Essential: Master's, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Lower level programming for hardware efficiency, e.g. C++/CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning - compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: Mathematics skills to support the above: calculus, probability theory and linear algebra. Experience submitting papers to international scientific conferences or workshops. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
07/07/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long term investment, we are delivering key technology into the fast growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware aware AI algorithms and AI aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. The Team Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence and graph based data. We're based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of to read one of our papers or an article on our blog. If you're excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore's next generation of AI hardware. About you: Essential: Master's, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Lower level programming for hardware efficiency, e.g. C++/CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning - compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: Mathematics skills to support the above: calculus, probability theory and linear algebra. Experience submitting papers to international scientific conferences or workshops. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Job Description About the role: Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in. Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains. This is a greenfield opportunity - you'll be setting the direction for how Wise applies modern ML to financial crime risk, with strong investment and engagement from senior leadership. How we work: Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research and architecture decisions through to production deployment and impact measurement. We value engineers who shape direction, not just execute tickets. What will you be working on? Designing and shipping ML and deep learning models for financial crime detection - sequence-based, graph-based, attention-based - serving real-time decisions at Wise's scale Defining the architecture strategy for how Wise applies modern ML to risk - which model families, which serving patterns, which training paradigms Building the reusable end-to-end pipeline pattern - from experimentation through training to production deployment - that future models follow Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible Mentoring engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making What do you need? Production experience shipping deep learning models at scale - systems serving real traffic under latency constraints Ability to make architecture-level decisions independently - model selection, training infrastructure, serving strategy - and explain the reasoning and tradeoffs Experience designing ML systems with hard latency and throughput requirements, including optimisation decisions (quantization, pre computed embeddings, batching strategies) Strong fundamentals in deep learning: gradient dynamics, attention mechanisms, graph message passing, sequence modelling Track record of influencing technical strategy across teams - you don't just build, you shape direction Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration Nice to Have: Experience in FinCrime, fraud detection, AML, or regulated financial services Experience with graph-based methods (GNNs, entity resolution, link analysis) in production Foundation model fine tuning or LLM evaluation experience Experience establishing modern ML practices in organisations scaling their ML capabilities What do we offer: Starting salary: £145,000 - £182,000 + RSUs Wise Benefits
06/07/2026
Full time
Job Description About the role: Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in. Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains. This is a greenfield opportunity - you'll be setting the direction for how Wise applies modern ML to financial crime risk, with strong investment and engagement from senior leadership. How we work: Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research and architecture decisions through to production deployment and impact measurement. We value engineers who shape direction, not just execute tickets. What will you be working on? Designing and shipping ML and deep learning models for financial crime detection - sequence-based, graph-based, attention-based - serving real-time decisions at Wise's scale Defining the architecture strategy for how Wise applies modern ML to risk - which model families, which serving patterns, which training paradigms Building the reusable end-to-end pipeline pattern - from experimentation through training to production deployment - that future models follow Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible Mentoring engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making What do you need? Production experience shipping deep learning models at scale - systems serving real traffic under latency constraints Ability to make architecture-level decisions independently - model selection, training infrastructure, serving strategy - and explain the reasoning and tradeoffs Experience designing ML systems with hard latency and throughput requirements, including optimisation decisions (quantization, pre computed embeddings, batching strategies) Strong fundamentals in deep learning: gradient dynamics, attention mechanisms, graph message passing, sequence modelling Track record of influencing technical strategy across teams - you don't just build, you shape direction Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration Nice to Have: Experience in FinCrime, fraud detection, AML, or regulated financial services Experience with graph-based methods (GNNs, entity resolution, link analysis) in production Foundation model fine tuning or LLM evaluation experience Experience establishing modern ML practices in organisations scaling their ML capabilities What do we offer: Starting salary: £145,000 - £182,000 + RSUs Wise Benefits
About Waystone Waystone is a leading asset servicing solutions provider of institutional governance, administration, risk and compliance services to financial institutions. With over 25 years' experience and a comprehensive range of specialist services to its name, Waystone helps our clients structure, operate and grow through our expertise, innovation and digitisation, backed by the operational scale to support global expansion Summary Reporting to the Chief Technology Officer, the Head of Digital and AI Design will be an integral part of the team's and organisation's success. We are seeking an experienced and forward thinking leader to own the design of our digital and AI agenda - finding where digital and AI can create value across the ManCo business, shaping those opportunities into well defined solutions, and building and owning the roadmap that brings them to life. This is a design, discovery and roadmap leadership role. The Head of Digital and AI Design leads a team that identifies opportunities, re engineers processes, and defines solutions to the point they can be handed to delivery teams to build - owning the "what" and the "why", while delivery owns the "how". A core focus of the role is developing a high performance team culture, championing individual growth, team wellbeing, and a strong sense of shared purpose, all within the control standards expected of a regulated financial services environment. Digital & AI Strategy and Roadmap Own and drive the digital and AI vision and roadmap, aligned to business strategy and client needs. Build, own and continuously evolve a prioritised pipeline of digital and AI initiatives, sequenced by value, effort, risk and strategic fit. Maintain an active, informed view of the AI and digital landscape and translate it into opportunities relevant to Waystone. Opportunity Discovery & Process Re engineering Lead discovery and scoping of digital and AI initiatives across fund administration, compliance, onboarding, reporting and internal operations. Oversee the analysis of current state operations and client journeys to inform future state designs. Identify opportunities to streamline processes, reduce manual effort and improve data flow, guiding process re engineering aligned with platform capabilities and compliance standards. Solution Design & Definition Translate business needs and qualified opportunities into clearly defined solution concepts - scope, intended outcomes and success measures - ready to hand to delivery teams. Drive structured requirements gathering and solution design that bridges business needs and technical delivery, with clear acceptance criteria. Champion user centric design across digital and AI solutions, using concepts, journey maps and lightweight visuals to communicate intent. Team Leadership, Culture & Development Lead, develop and inspire a team of digital and AI solution designers and application owners. Create a high performance, inclusive team culture built on trust, accountability, collaboration and continuous improvement. Invest in team members' development through coaching, career planning, skills training and performance feedback. Foster psychological safety and open communication, supporting both individual wellbeing and collective achievement. Define clear goals and priorities, ensure team alignment to business objectives, and remove blockers to success. Stakeholder Engagement & Change Leadership Collaborate with stakeholders across Compliance, Operations, IT, Product and Client Services to ensure alignment and prioritisation of digital and AI initiatives. Champion the adoption of digital and AI tools across the ManCo business, building organisational appetite and understanding. Act as a key liaison between business and technology teams, translating operational needs into clear, actionable requirements. Track expected versus realised value of initiatives and feed the learnings back into the roadmap. Governance & Responsible AI Ensure digital and AI opportunities are shaped with appropriate regard to regulatory, data protection, security and responsible AI considerations from the outset. Partner with Risk, Compliance, Legal and Information Security - and with delivery teams - to ensure initiatives are deliverable within the firm's control framework. Digital Platform & Systems Oversight Work closely with Product, IT and vendors to select, optimise and shape solutions on core platforms (e.g., Salesforce, Appian, the Microsoft / Azure estate, fund administration systems, client portals and workflow automation). Support the integration of systems to create seamless, scalable and secure digital ecosystems. Ensure data consistency, integrity and compliance with regulatory standards. Skills & Experience Proven experience leading digital transformation, digital/AI design or operational digitisation in financial services, ideally in fund administration, asset management, or ManCo services. Strong background in discovery, business and systems analysis, process design, solution design and roadmap ownership. Demonstrated ability to identify and shape technology, digital and AI opportunities and translate them into well defined solutions. Demonstrated success in building, leading and developing high performing teams. Ability to shape and sustain a positive, inclusive and growth oriented team culture. Excellent interpersonal skills, with the ability to coach, mentor and support individuals at different levels. Strong understanding of business operations and client workflows in a regulated financial environment. Excellent communication, stakeholder management and change leadership skills. Desirable Experience with platforms such as Salesforce, Appian, Microsoft Azure / M365, fund administration systems, or workflow automation tools. Awareness of generative AI, intelligent automation and agentic capabilities and their practical applications. Familiarity with discovery, roadmapping and prioritisation techniques. Familiarity with Agile / Lean methodologies and digital delivery frameworks. Knowledge of compliance, regulatory and reporting obligations in fund services. Personal Attributes Curious, with a natural eye for spotting opportunities. Strategic thinker with a focus on long term business outcomes. Strong problem solving abilities and decision making skills. Comfortable balancing innovation with the control needs of a regulated firm. Ability to work under pressure and handle multiple priorities. Collaborative and able to work across departments.
02/07/2026
Full time
About Waystone Waystone is a leading asset servicing solutions provider of institutional governance, administration, risk and compliance services to financial institutions. With over 25 years' experience and a comprehensive range of specialist services to its name, Waystone helps our clients structure, operate and grow through our expertise, innovation and digitisation, backed by the operational scale to support global expansion Summary Reporting to the Chief Technology Officer, the Head of Digital and AI Design will be an integral part of the team's and organisation's success. We are seeking an experienced and forward thinking leader to own the design of our digital and AI agenda - finding where digital and AI can create value across the ManCo business, shaping those opportunities into well defined solutions, and building and owning the roadmap that brings them to life. This is a design, discovery and roadmap leadership role. The Head of Digital and AI Design leads a team that identifies opportunities, re engineers processes, and defines solutions to the point they can be handed to delivery teams to build - owning the "what" and the "why", while delivery owns the "how". A core focus of the role is developing a high performance team culture, championing individual growth, team wellbeing, and a strong sense of shared purpose, all within the control standards expected of a regulated financial services environment. Digital & AI Strategy and Roadmap Own and drive the digital and AI vision and roadmap, aligned to business strategy and client needs. Build, own and continuously evolve a prioritised pipeline of digital and AI initiatives, sequenced by value, effort, risk and strategic fit. Maintain an active, informed view of the AI and digital landscape and translate it into opportunities relevant to Waystone. Opportunity Discovery & Process Re engineering Lead discovery and scoping of digital and AI initiatives across fund administration, compliance, onboarding, reporting and internal operations. Oversee the analysis of current state operations and client journeys to inform future state designs. Identify opportunities to streamline processes, reduce manual effort and improve data flow, guiding process re engineering aligned with platform capabilities and compliance standards. Solution Design & Definition Translate business needs and qualified opportunities into clearly defined solution concepts - scope, intended outcomes and success measures - ready to hand to delivery teams. Drive structured requirements gathering and solution design that bridges business needs and technical delivery, with clear acceptance criteria. Champion user centric design across digital and AI solutions, using concepts, journey maps and lightweight visuals to communicate intent. Team Leadership, Culture & Development Lead, develop and inspire a team of digital and AI solution designers and application owners. Create a high performance, inclusive team culture built on trust, accountability, collaboration and continuous improvement. Invest in team members' development through coaching, career planning, skills training and performance feedback. Foster psychological safety and open communication, supporting both individual wellbeing and collective achievement. Define clear goals and priorities, ensure team alignment to business objectives, and remove blockers to success. Stakeholder Engagement & Change Leadership Collaborate with stakeholders across Compliance, Operations, IT, Product and Client Services to ensure alignment and prioritisation of digital and AI initiatives. Champion the adoption of digital and AI tools across the ManCo business, building organisational appetite and understanding. Act as a key liaison between business and technology teams, translating operational needs into clear, actionable requirements. Track expected versus realised value of initiatives and feed the learnings back into the roadmap. Governance & Responsible AI Ensure digital and AI opportunities are shaped with appropriate regard to regulatory, data protection, security and responsible AI considerations from the outset. Partner with Risk, Compliance, Legal and Information Security - and with delivery teams - to ensure initiatives are deliverable within the firm's control framework. Digital Platform & Systems Oversight Work closely with Product, IT and vendors to select, optimise and shape solutions on core platforms (e.g., Salesforce, Appian, the Microsoft / Azure estate, fund administration systems, client portals and workflow automation). Support the integration of systems to create seamless, scalable and secure digital ecosystems. Ensure data consistency, integrity and compliance with regulatory standards. Skills & Experience Proven experience leading digital transformation, digital/AI design or operational digitisation in financial services, ideally in fund administration, asset management, or ManCo services. Strong background in discovery, business and systems analysis, process design, solution design and roadmap ownership. Demonstrated ability to identify and shape technology, digital and AI opportunities and translate them into well defined solutions. Demonstrated success in building, leading and developing high performing teams. Ability to shape and sustain a positive, inclusive and growth oriented team culture. Excellent interpersonal skills, with the ability to coach, mentor and support individuals at different levels. Strong understanding of business operations and client workflows in a regulated financial environment. Excellent communication, stakeholder management and change leadership skills. Desirable Experience with platforms such as Salesforce, Appian, Microsoft Azure / M365, fund administration systems, or workflow automation tools. Awareness of generative AI, intelligent automation and agentic capabilities and their practical applications. Familiarity with discovery, roadmapping and prioritisation techniques. Familiarity with Agile / Lean methodologies and digital delivery frameworks. Knowledge of compliance, regulatory and reporting obligations in fund services. Personal Attributes Curious, with a natural eye for spotting opportunities. Strategic thinker with a focus on long term business outcomes. Strong problem solving abilities and decision making skills. Comfortable balancing innovation with the control needs of a regulated firm. Ability to work under pressure and handle multiple priorities. Collaborative and able to work across departments.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing are seeking an experienced Product Security Engineer to join our growing team in Bristol or Yeovil and help shape the future of integrating security and resiliency across our products and services. Product security engineering is a cross cutting engineering function and a critical element of designing, delivering, and maintaining Boeing products and services. Our mission is to influence designs and implement security solutions that protect product integrity. You will join a highly energised team committed to staying ahead of evolving cyber threats, developing innovative security measures, consistent standards, practices, and tools. As an experienced Product Security Engineer, you will lead development, implementation, and sustainment of product security and resiliency across the requirements, design, build, test, production, operations, and support lifecycle. You will be expected to independently shape technical approaches, influence program level decisions, and provide subject matter expertise to internal and external stakeholders. You will collaborate with a multidisciplinary, enterprise wide community to create and apply best practices, tools, and solutions that protect complex systems, including IT, embedded, and non IT environments. This role offers the opportunity to solve high impact security challenges, influence next generation security engineering, and directly contribute to the resilience and certification posture of Boeing's commercial and defence offerings. Ideal candidates bring deep knowledge and experience in system security, systems engineering, safety/airworthiness, security architecture, and verification/validation activities. If you are motivated to lead product security initiatives across complex programs and to influence engineering decisions that increase system resilience, we encourage you to apply. Position Responsibilities Develops and implements product security requirements and architectures to satisfy certification, regulatory, and customer requirements. Defines security design approaches and leads integration of security features into product architectures and designs. Conducts and leads cybersecurity risk analysis and threat assessments; evaluates likelihood, impact, and residual risk and determines mitigations. Performs and leads security assessments, audits, and vulnerability analyses; prepares mitigation strategies and drives remediation actions. Establishes and sustains security practices across the product lifecycle through coordination with cross functional teams and program leadership. Communicates and documents product security and certification implications, including security consequences of product modifications, to internal stakeholders, suppliers, and customers. Identifies and defines product security requirements for suppliers of components and subsystems; coordinates supplier security activities and evaluates supplier deliverables for compliance. Coordinates with governments, customers, suppliers, and industry to identify program risks and to improve industry and regulatory security standards and requirements for programs and interfacing systems. Independently conducts research and development activities that result in innovative security solutions, tools, or processes; leads pilot implementations and evaluates outcomes. Performs system analysis and trade studies to define technical concepts, security architectures, and optimal security solutions; documents rationale and recommendations for program decision makers. Develops and improves team tools, processes, and automation to increase productivity and repeatability across programs. Leads or contributes to program boards and design reviews: gathers and analyses data, prepares briefings, communicates recommendations, and supports cross team decision making. Monitors emerging threats, vulnerabilities, and security technologies; assesses applicability to programs and recommends prioritized adoption or mitigations. Ensures security of tools, data, networks, and resources used for product design, development, build, test, storage, delivery, operations, and support. Responds to program level security incidents or findings; coordinates remediation, documents results, and communicates status to stakeholders. Advices customers and program teams on maintaining product security and certification, including the security consequences of modifying products and services. Employer will not sponsor applicants for employment visa status. This role is hybrid 3 days per week on-site. Basic Qualifications (Required Skills/Experience) Cybersecurity and security risk / threat assessment Security architecture, design, and analysis Network security architecture for embedded and enterprise systems Embedded systems security and cyber physical systems Systems hardening and security control implementation Cryptography and PKI design or integration Security testing, evaluation, and verification activities Trusted computing & anti tamper engineering Aircraft communications standards & protocols (ARINC 400, 600, 800 series etc.) Secure Software Development Lifecycle (SDLC) and DevSecOps practices Preferred Qualifications (Desired Skills/Experience) The ability to obtain UK Security Clearance Experience defining Concept of Operations (ConOps), system requirements, and use case driven security requirements. Broad experience in risk assessment and management, including threat modelling and vulnerability analysis for networked and embedded systems. Experience leading or participating in cybersecurity audits, certification activities, and investigations. Experience with security incident response, root cause analysis, and trend analysis. Familiarity with malware analysis, attack surface reduction, and advanced security analysis techniques. Proven knowledge or hands on experience with DevSecOps toolchains and automation. Familiarity with avionics, embedded computing, and communications systems (ARINC series). Proficiency with networking and computing protocols & architectures (TCP/IP, OSI, UDP, serial/parallel communications, bus architectures). Understanding of hardware and software integration processes for safety critical platforms. Familiarity with Secure by Design principles and techniques. Experience applying relevant standards and frameworks, including: RTCA/EUROCAE: DO 326B/ED 202B, DO 356A/ED 203A NIST: Risk Management Framework and SPs ISO/IEC: 27001/27002, 62443 DEFSTAN: , Experience with Model Based Engineering (MBE) tools and languages such as UML/SysML, 3DX, CATIA, Cameo, and MagicDraw is desirable. Proven contributions to industry standards, professional organizations, or cross industry working groups are a plus. Typical Education & Experience Typically 5+ years related work experience or an equivalent combination of technical education and experience; demonstrated progression of increasing responsibility on relevant programs. Education - Bachelor's degree or equivalent in Engineering, Engineering Technology, Computer Science, Engineering Data Science, Mathematics, Physics or Chemistry; advanced degree preferred. Relevant security and engineering certifications strongly preferred (e.g., CISSP, SABSA, SANS certifications, CISSP ISSMP, CISM, or equivalent). Relocation This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense. Relocation assistance is not a negotiable benefit for this position. What Boeing offers you The Boeing benefits package goes above and beyond, focusing on your physical, emotional, financial and social well-being. Here's a snapshot of what we offer: Competitive salary and annual incentive plans Continuous learning: You'll develop the approach and skills to navigate whatever comes next Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs 23 days plus UK public holidays and a Winter Break between Christmas and New Year! Pension Plan with 10% employer contribution Company paid BUPA Medical Plan Short Term Sickness: 100% pay for the first 26 weeks! Long Term Sickness: 66.67% of annual salary from 27th week 6x annual salary life insurance Learning Together Programme to support your ongoing personal and career development Access to Boeing's Well Being Programs, tool and incentives Parental leave options are available! Other appropriate background, experience and qualifications may be deemed acceptable. Applications for this position will be accepted until Jun. 30, 2026 Export Control Requirements This is not an Export Control position. Security Clearance This position requires the ability to obtain United Kingdom Security Check. . click apply for full job details
29/06/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing are seeking an experienced Product Security Engineer to join our growing team in Bristol or Yeovil and help shape the future of integrating security and resiliency across our products and services. Product security engineering is a cross cutting engineering function and a critical element of designing, delivering, and maintaining Boeing products and services. Our mission is to influence designs and implement security solutions that protect product integrity. You will join a highly energised team committed to staying ahead of evolving cyber threats, developing innovative security measures, consistent standards, practices, and tools. As an experienced Product Security Engineer, you will lead development, implementation, and sustainment of product security and resiliency across the requirements, design, build, test, production, operations, and support lifecycle. You will be expected to independently shape technical approaches, influence program level decisions, and provide subject matter expertise to internal and external stakeholders. You will collaborate with a multidisciplinary, enterprise wide community to create and apply best practices, tools, and solutions that protect complex systems, including IT, embedded, and non IT environments. This role offers the opportunity to solve high impact security challenges, influence next generation security engineering, and directly contribute to the resilience and certification posture of Boeing's commercial and defence offerings. Ideal candidates bring deep knowledge and experience in system security, systems engineering, safety/airworthiness, security architecture, and verification/validation activities. If you are motivated to lead product security initiatives across complex programs and to influence engineering decisions that increase system resilience, we encourage you to apply. Position Responsibilities Develops and implements product security requirements and architectures to satisfy certification, regulatory, and customer requirements. Defines security design approaches and leads integration of security features into product architectures and designs. Conducts and leads cybersecurity risk analysis and threat assessments; evaluates likelihood, impact, and residual risk and determines mitigations. Performs and leads security assessments, audits, and vulnerability analyses; prepares mitigation strategies and drives remediation actions. Establishes and sustains security practices across the product lifecycle through coordination with cross functional teams and program leadership. Communicates and documents product security and certification implications, including security consequences of product modifications, to internal stakeholders, suppliers, and customers. Identifies and defines product security requirements for suppliers of components and subsystems; coordinates supplier security activities and evaluates supplier deliverables for compliance. Coordinates with governments, customers, suppliers, and industry to identify program risks and to improve industry and regulatory security standards and requirements for programs and interfacing systems. Independently conducts research and development activities that result in innovative security solutions, tools, or processes; leads pilot implementations and evaluates outcomes. Performs system analysis and trade studies to define technical concepts, security architectures, and optimal security solutions; documents rationale and recommendations for program decision makers. Develops and improves team tools, processes, and automation to increase productivity and repeatability across programs. Leads or contributes to program boards and design reviews: gathers and analyses data, prepares briefings, communicates recommendations, and supports cross team decision making. Monitors emerging threats, vulnerabilities, and security technologies; assesses applicability to programs and recommends prioritized adoption or mitigations. Ensures security of tools, data, networks, and resources used for product design, development, build, test, storage, delivery, operations, and support. Responds to program level security incidents or findings; coordinates remediation, documents results, and communicates status to stakeholders. Advices customers and program teams on maintaining product security and certification, including the security consequences of modifying products and services. Employer will not sponsor applicants for employment visa status. This role is hybrid 3 days per week on-site. Basic Qualifications (Required Skills/Experience) Cybersecurity and security risk / threat assessment Security architecture, design, and analysis Network security architecture for embedded and enterprise systems Embedded systems security and cyber physical systems Systems hardening and security control implementation Cryptography and PKI design or integration Security testing, evaluation, and verification activities Trusted computing & anti tamper engineering Aircraft communications standards & protocols (ARINC 400, 600, 800 series etc.) Secure Software Development Lifecycle (SDLC) and DevSecOps practices Preferred Qualifications (Desired Skills/Experience) The ability to obtain UK Security Clearance Experience defining Concept of Operations (ConOps), system requirements, and use case driven security requirements. Broad experience in risk assessment and management, including threat modelling and vulnerability analysis for networked and embedded systems. Experience leading or participating in cybersecurity audits, certification activities, and investigations. Experience with security incident response, root cause analysis, and trend analysis. Familiarity with malware analysis, attack surface reduction, and advanced security analysis techniques. Proven knowledge or hands on experience with DevSecOps toolchains and automation. Familiarity with avionics, embedded computing, and communications systems (ARINC series). Proficiency with networking and computing protocols & architectures (TCP/IP, OSI, UDP, serial/parallel communications, bus architectures). Understanding of hardware and software integration processes for safety critical platforms. Familiarity with Secure by Design principles and techniques. Experience applying relevant standards and frameworks, including: RTCA/EUROCAE: DO 326B/ED 202B, DO 356A/ED 203A NIST: Risk Management Framework and SPs ISO/IEC: 27001/27002, 62443 DEFSTAN: , Experience with Model Based Engineering (MBE) tools and languages such as UML/SysML, 3DX, CATIA, Cameo, and MagicDraw is desirable. Proven contributions to industry standards, professional organizations, or cross industry working groups are a plus. Typical Education & Experience Typically 5+ years related work experience or an equivalent combination of technical education and experience; demonstrated progression of increasing responsibility on relevant programs. Education - Bachelor's degree or equivalent in Engineering, Engineering Technology, Computer Science, Engineering Data Science, Mathematics, Physics or Chemistry; advanced degree preferred. Relevant security and engineering certifications strongly preferred (e.g., CISSP, SABSA, SANS certifications, CISSP ISSMP, CISM, or equivalent). Relocation This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense. Relocation assistance is not a negotiable benefit for this position. What Boeing offers you The Boeing benefits package goes above and beyond, focusing on your physical, emotional, financial and social well-being. Here's a snapshot of what we offer: Competitive salary and annual incentive plans Continuous learning: You'll develop the approach and skills to navigate whatever comes next Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs 23 days plus UK public holidays and a Winter Break between Christmas and New Year! Pension Plan with 10% employer contribution Company paid BUPA Medical Plan Short Term Sickness: 100% pay for the first 26 weeks! Long Term Sickness: 66.67% of annual salary from 27th week 6x annual salary life insurance Learning Together Programme to support your ongoing personal and career development Access to Boeing's Well Being Programs, tool and incentives Parental leave options are available! Other appropriate background, experience and qualifications may be deemed acceptable. Applications for this position will be accepted until Jun. 30, 2026 Export Control Requirements This is not an Export Control position. Security Clearance This position requires the ability to obtain United Kingdom Security Check. . click apply for full job details
