Reporting to: Petr Znamenskiy, Group Leader Contract term: This is a fixed term (36 months) position on Crick terms and conditions of employment. About us The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. The Research Group The Znamenskiy lab studies the relationship between in vivo function, synaptic organization, and molecular identity of cortical neurons. Using the primary visual cortex as a model, we aim to understand how connections between neuronal cell types are organized and how this organization enables the computations they perform. To achieve this, we combine systems and molecular neuroscience approaches and develop new tools to relate gene expression and connectivity to neuronal activity. Our current research focuses on how visual cortical circuits enable animals to interpret the three-dimensional structure of visual scenes. Details of research projects currently being undertaken can be seen at . About the role We are looking for a collaborative, individual to support the lab's spatial transcriptomics pipeline using a custom-built in situ sequencing platform, helping to link in vivo function, gene expression and connectivity of cortical neurons. Individual cortical neurons receive thousands of synaptic inputs and send long-range projections that often broadcast output to multiple target structures. How these connectivity patterns relate to the molecular makeup of individual cells remains poorly understood. To address this question, we combine high-throughput reconstruction of neuronal connectivity using molecular barcodes with single-neuron gene expression analysis through in situ sequencing. Using custom-built in situ sequencing platforms, we measure the expression of hundreds of genes in intact tissue sections alongside viral barcodes, which are used to reconstruct synaptic connections and map projection patterns of individual neurons. We welcome applications from candidates at different stages of their scientific career so this would be an excellent opportunity for recent graduates. Appointment can be made at either Laboratory Research Scientist or Senior Laboratory Research Scientist level, commensurate with experience and achievements. All training will be provided in house. What you will be doing Preparing tissue for in situ sequencing Developing and optimising in situ sequencing protocols Ordering and maintain inventories of in situ sequencing reagents Developing custom gene panels for profiling cell identity and cell state in situ Conducting quality control and preliminary analysis on in situ sequencing data Maintaining and developing the sequencing setup Training other users in this lab and other labs in the collection and analysis of in situ sequencing data A degree or equivalent experience (BSc / MSc for LRS, PhD for SLRS) in Molecular Biology, Neuroscience, Bioengineering, or a closely related field Hands on experience with RNA/DNA handling and / or tissue processing (e.g., fluorescence in situ hybridization (FISH), RNAscope) Experience operating and troubleshooting epifluorescence or confocal microscopes Basic proficiency in a programming language (Python, R, or MATLAB) to conduct quality control, process images, and handle preliminary data analysis Demonstrated ability to independently optimize complex experimental protocols, maintain records, and manage inventories Excellent communication skills, with a proven ability to train others and collaborate across projects Experience with in situ sequencing, spatial transcriptomics (e.g., MERFISH, seqFISH, Xenium), or single-cell RNA-seq pipelines (desirable) About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture. We arebold. We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We areopen. We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We arecollegial. We show respect for one another, work cooperatively and support the wider community. At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. Weare aDisability Confident: Committedemployer andwant to ensure that everyone can apply and be part of our recruitment processes and sowe'llmake reasonable adjustments if you need them - just let us know when you apply. If you needassistancewith applying (i.e., would like to apply by phone or post) please email: At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme: Defined contribution pension with employer contributions of up to 16%. 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance: Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed. We reserve the right to withdraw this advert at any given time due to the number of applications received.
Aug 25, 2026
Full time
Reporting to: Petr Znamenskiy, Group Leader Contract term: This is a fixed term (36 months) position on Crick terms and conditions of employment. About us The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. The Research Group The Znamenskiy lab studies the relationship between in vivo function, synaptic organization, and molecular identity of cortical neurons. Using the primary visual cortex as a model, we aim to understand how connections between neuronal cell types are organized and how this organization enables the computations they perform. To achieve this, we combine systems and molecular neuroscience approaches and develop new tools to relate gene expression and connectivity to neuronal activity. Our current research focuses on how visual cortical circuits enable animals to interpret the three-dimensional structure of visual scenes. Details of research projects currently being undertaken can be seen at . About the role We are looking for a collaborative, individual to support the lab's spatial transcriptomics pipeline using a custom-built in situ sequencing platform, helping to link in vivo function, gene expression and connectivity of cortical neurons. Individual cortical neurons receive thousands of synaptic inputs and send long-range projections that often broadcast output to multiple target structures. How these connectivity patterns relate to the molecular makeup of individual cells remains poorly understood. To address this question, we combine high-throughput reconstruction of neuronal connectivity using molecular barcodes with single-neuron gene expression analysis through in situ sequencing. Using custom-built in situ sequencing platforms, we measure the expression of hundreds of genes in intact tissue sections alongside viral barcodes, which are used to reconstruct synaptic connections and map projection patterns of individual neurons. We welcome applications from candidates at different stages of their scientific career so this would be an excellent opportunity for recent graduates. Appointment can be made at either Laboratory Research Scientist or Senior Laboratory Research Scientist level, commensurate with experience and achievements. All training will be provided in house. What you will be doing Preparing tissue for in situ sequencing Developing and optimising in situ sequencing protocols Ordering and maintain inventories of in situ sequencing reagents Developing custom gene panels for profiling cell identity and cell state in situ Conducting quality control and preliminary analysis on in situ sequencing data Maintaining and developing the sequencing setup Training other users in this lab and other labs in the collection and analysis of in situ sequencing data A degree or equivalent experience (BSc / MSc for LRS, PhD for SLRS) in Molecular Biology, Neuroscience, Bioengineering, or a closely related field Hands on experience with RNA/DNA handling and / or tissue processing (e.g., fluorescence in situ hybridization (FISH), RNAscope) Experience operating and troubleshooting epifluorescence or confocal microscopes Basic proficiency in a programming language (Python, R, or MATLAB) to conduct quality control, process images, and handle preliminary data analysis Demonstrated ability to independently optimize complex experimental protocols, maintain records, and manage inventories Excellent communication skills, with a proven ability to train others and collaborate across projects Experience with in situ sequencing, spatial transcriptomics (e.g., MERFISH, seqFISH, Xenium), or single-cell RNA-seq pipelines (desirable) About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture. We arebold. We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We areopen. We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We arecollegial. We show respect for one another, work cooperatively and support the wider community. At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. Weare aDisability Confident: Committedemployer andwant to ensure that everyone can apply and be part of our recruitment processes and sowe'llmake reasonable adjustments if you need them - just let us know when you apply. If you needassistancewith applying (i.e., would like to apply by phone or post) please email: At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme: Defined contribution pension with employer contributions of up to 16%. 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance: Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed. We reserve the right to withdraw this advert at any given time due to the number of applications received.
Join Maplecroft and Property Claim Services (PCS) as a Senior Platform Engineering Technical Lead, where you'll play a pivotal role in shaping and evolving the cloud platforms that power leading risk analytics products. This is a hands-on technical leadership position, combining people management, cloud architecture, platform engineering, and strategic decision-making. Reporting to the Head of Software, you'll lead a distributed infrastructure team spanning the UK and India while working closely with engineering teams to deliver scalable, resilient, and secure cloud solutions. The position is open for full remote within the UK, but there's preference for profiles who are commutable to Bath weekly - our hybrid policy stablishes 3 days per week in the office. You'll provide technical direction across two business units, with a primary focus on Maplecroft's AWS-based platforms, including: GRiD (Global Risk Dashboard) - Maplecroft's current flagship risk analytics platform, comprising a microservice architecture for mapping, commodity-specific and industry-specific data, and core country risk data. DataX - Maplecroft's internal platform for large-scale data processing, building and quality-assuring the risk indices that feed our client-facing products. GRiD 2 - Maplecroft's next-generation risk analytics platform, which will replace GRiD as our flagship SaaS product for risk management. GRiD 2 is built on Synergy Studio (VSS), a platform owned by our parent business unit, Catastrophe and Risk Solutions. Working within a modern cloud ecosystem leveraging AWS, AWS CDK, OpenTofu, ECS Fargate, Lambda, DynamoDB, Aurora, Batch, Step Functions, GitHub and Okta, you'll help guide architectural decisions, support platform modernisation, and drive engineering excellence. Why Join Us? This is an opportunity to influence the future of industry-leading risk analytics platforms while remaining deeply involved in technical decision-making. You'll work with modern AWS technologies, help shape engineering strategy, lead talented engineers, and contribute to the development of the next generation of Maplecroft's products in a collaborative, innovation-focused environment. Responsibilities Own the GRiD cloud platform end-to-end, including resilience, disaster recovery, multi-region architecture, and operational readiness. Act as the senior escalation point for complex infrastructure challenges, including permissions, deployment failures, and platform stability issues. Guide the transition from GRiD to GRiD 2, collaborating with the Catastrophe and Risk Solutions teams who develop Synergy Studio (VSS), the platform on which GRiD 2 is being built, to ensure a successful migration. Shape platform strategy and governance, providing guidance on architecture, tooling, and engineering best practices across AWS CDK and OpenTofu environments. Partner regularly with the Information Risk Officer to identify, prioritise, and remediate platform vulnerabilities. Remain actively involved in engineering work through code reviews, technical problem solving, and hands-on development when required. Drive innovation through prototyping, self-service infrastructure, developer tooling improvements, and AI-assisted development initiatives. Support agile delivery activities and contribute to a shared business-hours support rota. Lead, mentor, and develop a distributed team of infrastructure engineers through coaching, performance management, and career development. Qualifications Essential Minimum 5 years' experience working on customer-facing cloud platforms. Strong hands-on expertise with AWS across multiple accounts and regions, including IaaS, PaaS, and SaaS environments. Proven experience with both AWS CDK/CloudFormation and OpenTofu , including troubleshooting stack failures, rollbacks, and configuration drift. Experience building or operating serverless AWS architectures , particularly for production-scale data processing workloads. Experience designing and supporting multi-region, highly available platforms , including disaster recovery planning and testing. Strong understanding of AWS IAM , including roles, trust policies, and GitHub Actions OIDC federation. Professional development experience in Python . Excellent code review capabilities, providing pragmatic and constructive technical feedback. Demonstrated passion for continuous improvement, including developer experience, automation, AI-assisted engineering, and platform tooling. Experience leading technical initiatives and influencing engineering direction. Prior people management experience is highly desirable, although we welcome applications from exceptional senior engineers ready to take the next step into leadership. Desirable Experience with Okta or similar identity and access management platforms. Familiarity with Django and/or FastAPI . Experience with observability and monitoring tools such as Sentry Cloud , Dynatrace , or similar platforms. Experience working with distributed engineering teams across multiple geographies.
Aug 24, 2026
Full time
Join Maplecroft and Property Claim Services (PCS) as a Senior Platform Engineering Technical Lead, where you'll play a pivotal role in shaping and evolving the cloud platforms that power leading risk analytics products. This is a hands-on technical leadership position, combining people management, cloud architecture, platform engineering, and strategic decision-making. Reporting to the Head of Software, you'll lead a distributed infrastructure team spanning the UK and India while working closely with engineering teams to deliver scalable, resilient, and secure cloud solutions. The position is open for full remote within the UK, but there's preference for profiles who are commutable to Bath weekly - our hybrid policy stablishes 3 days per week in the office. You'll provide technical direction across two business units, with a primary focus on Maplecroft's AWS-based platforms, including: GRiD (Global Risk Dashboard) - Maplecroft's current flagship risk analytics platform, comprising a microservice architecture for mapping, commodity-specific and industry-specific data, and core country risk data. DataX - Maplecroft's internal platform for large-scale data processing, building and quality-assuring the risk indices that feed our client-facing products. GRiD 2 - Maplecroft's next-generation risk analytics platform, which will replace GRiD as our flagship SaaS product for risk management. GRiD 2 is built on Synergy Studio (VSS), a platform owned by our parent business unit, Catastrophe and Risk Solutions. Working within a modern cloud ecosystem leveraging AWS, AWS CDK, OpenTofu, ECS Fargate, Lambda, DynamoDB, Aurora, Batch, Step Functions, GitHub and Okta, you'll help guide architectural decisions, support platform modernisation, and drive engineering excellence. Why Join Us? This is an opportunity to influence the future of industry-leading risk analytics platforms while remaining deeply involved in technical decision-making. You'll work with modern AWS technologies, help shape engineering strategy, lead talented engineers, and contribute to the development of the next generation of Maplecroft's products in a collaborative, innovation-focused environment. Responsibilities Own the GRiD cloud platform end-to-end, including resilience, disaster recovery, multi-region architecture, and operational readiness. Act as the senior escalation point for complex infrastructure challenges, including permissions, deployment failures, and platform stability issues. Guide the transition from GRiD to GRiD 2, collaborating with the Catastrophe and Risk Solutions teams who develop Synergy Studio (VSS), the platform on which GRiD 2 is being built, to ensure a successful migration. Shape platform strategy and governance, providing guidance on architecture, tooling, and engineering best practices across AWS CDK and OpenTofu environments. Partner regularly with the Information Risk Officer to identify, prioritise, and remediate platform vulnerabilities. Remain actively involved in engineering work through code reviews, technical problem solving, and hands-on development when required. Drive innovation through prototyping, self-service infrastructure, developer tooling improvements, and AI-assisted development initiatives. Support agile delivery activities and contribute to a shared business-hours support rota. Lead, mentor, and develop a distributed team of infrastructure engineers through coaching, performance management, and career development. Qualifications Essential Minimum 5 years' experience working on customer-facing cloud platforms. Strong hands-on expertise with AWS across multiple accounts and regions, including IaaS, PaaS, and SaaS environments. Proven experience with both AWS CDK/CloudFormation and OpenTofu , including troubleshooting stack failures, rollbacks, and configuration drift. Experience building or operating serverless AWS architectures , particularly for production-scale data processing workloads. Experience designing and supporting multi-region, highly available platforms , including disaster recovery planning and testing. Strong understanding of AWS IAM , including roles, trust policies, and GitHub Actions OIDC federation. Professional development experience in Python . Excellent code review capabilities, providing pragmatic and constructive technical feedback. Demonstrated passion for continuous improvement, including developer experience, automation, AI-assisted engineering, and platform tooling. Experience leading technical initiatives and influencing engineering direction. Prior people management experience is highly desirable, although we welcome applications from exceptional senior engineers ready to take the next step into leadership. Desirable Experience with Okta or similar identity and access management platforms. Familiarity with Django and/or FastAPI . Experience with observability and monitoring tools such as Sentry Cloud , Dynatrace , or similar platforms. Experience working with distributed engineering teams across multiple geographies.
Senior Python Developer Salary: Up to £90,000 + Bonus + Benefits Location: Ipswich Working Pattern: Hybrid Job Type: Permanent An exciting opportunity has arisen for an experienced Senior Python Developer to join a large scale technology environment, developing automation solutions, backend services and tooling supporting complex telecoms and network operations. This Senior Python Developer is a hands on engineering position with a strong focus on Python, REST APIs, automation and backend development. You will work across applications supporting testing, monitoring and operational efficiency within 5G and enterprise platforms, with exposure to Linux, Docker, CI/CD, databases and network technologies. The role would suit a strong Python Engineer who enjoys solving complex technical problems and wants to work across both software engineering and network automation. Responsibilities for the Senior Python Developer: Design, develop and maintain Python based automation frameworks and scripts supporting network testing, data processing and operational workflows Build RESTful APIs using Flask and FastAPI for internal services and cross team integrations Develop lightweight web based dashboards and interfaces using HTML, CSS, JavaScript and Jinja2 Work with PostgreSQL, MySQL, MongoDB and Redis for application, configuration and testing data Build and maintain Docker and Docker Compose environments for application deployment and testing Develop and maintain CI/CD pipelines using Jenkins and GitLab Develop Linux automation using Bash, shell scripting and cron jobs Integrate Python applications with telecom network systems and APIs Build automated validation, health checking and service monitoring capabilities Implement effective logging, monitoring and error handling across automation services Work closely with QA, Network Engineering and DevOps teams to identify and deliver automation opportunities Support the development of scalable, reliable and maintainable engineering solutions Essential Skills & Experience for the Senior Python Developer: Strong commercial Python development experience. Strong experience designing and developing REST APIs using Flask and/or FastAPI Experience with API authentication, error handling and documentation Experience with HTML, CSS and Jinja2 for lightweight web interfaces Strong database experience across SQL and NoSQL technologies Experience with PostgreSQL and/or MySQL Experience with MongoDB and/or Redis Strong experience working within Linux environments, including Bash and shell scripting Experience building and deploying applications using Docker and Docker Compose Experience with CI/CD, ideally Jenkins and/or GitLab CI/CD Strong Git/version control experience Experience with Python automation libraries such as Requests, Paramiko, Subprocess, Schedule and Pandas Good understanding of networking fundamentals including HTTP, TCP/IP, DNS and SSH Desirable Skills for the Senior Python Developer: Telecoms or network automation experience Knowledge of 4G Core, 5G or Service Based Architecture (SBA) Experience with RabbitMQ or Kafka and event driven architectures OpenStack experience Infrastructure as Code knowledge Test automation experience using Pytest, Selenium or Playwright Monitoring experience using Grafana, ELK Stack or Prometheus Experience working within Agile/Scrum environments Python Developer, Software Developer, Software Engineer, Python, Python Programmer, Senior Python Developer
Aug 24, 2026
Full time
Senior Python Developer Salary: Up to £90,000 + Bonus + Benefits Location: Ipswich Working Pattern: Hybrid Job Type: Permanent An exciting opportunity has arisen for an experienced Senior Python Developer to join a large scale technology environment, developing automation solutions, backend services and tooling supporting complex telecoms and network operations. This Senior Python Developer is a hands on engineering position with a strong focus on Python, REST APIs, automation and backend development. You will work across applications supporting testing, monitoring and operational efficiency within 5G and enterprise platforms, with exposure to Linux, Docker, CI/CD, databases and network technologies. The role would suit a strong Python Engineer who enjoys solving complex technical problems and wants to work across both software engineering and network automation. Responsibilities for the Senior Python Developer: Design, develop and maintain Python based automation frameworks and scripts supporting network testing, data processing and operational workflows Build RESTful APIs using Flask and FastAPI for internal services and cross team integrations Develop lightweight web based dashboards and interfaces using HTML, CSS, JavaScript and Jinja2 Work with PostgreSQL, MySQL, MongoDB and Redis for application, configuration and testing data Build and maintain Docker and Docker Compose environments for application deployment and testing Develop and maintain CI/CD pipelines using Jenkins and GitLab Develop Linux automation using Bash, shell scripting and cron jobs Integrate Python applications with telecom network systems and APIs Build automated validation, health checking and service monitoring capabilities Implement effective logging, monitoring and error handling across automation services Work closely with QA, Network Engineering and DevOps teams to identify and deliver automation opportunities Support the development of scalable, reliable and maintainable engineering solutions Essential Skills & Experience for the Senior Python Developer: Strong commercial Python development experience. Strong experience designing and developing REST APIs using Flask and/or FastAPI Experience with API authentication, error handling and documentation Experience with HTML, CSS and Jinja2 for lightweight web interfaces Strong database experience across SQL and NoSQL technologies Experience with PostgreSQL and/or MySQL Experience with MongoDB and/or Redis Strong experience working within Linux environments, including Bash and shell scripting Experience building and deploying applications using Docker and Docker Compose Experience with CI/CD, ideally Jenkins and/or GitLab CI/CD Strong Git/version control experience Experience with Python automation libraries such as Requests, Paramiko, Subprocess, Schedule and Pandas Good understanding of networking fundamentals including HTTP, TCP/IP, DNS and SSH Desirable Skills for the Senior Python Developer: Telecoms or network automation experience Knowledge of 4G Core, 5G or Service Based Architecture (SBA) Experience with RabbitMQ or Kafka and event driven architectures OpenStack experience Infrastructure as Code knowledge Test automation experience using Pytest, Selenium or Playwright Monitoring experience using Grafana, ELK Stack or Prometheus Experience working within Agile/Scrum environments Python Developer, Software Developer, Software Engineer, Python, Python Programmer, Senior Python Developer
JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. Position We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands on experience delivering applied machine learning and statistical modelling in real world settings. Internally, you will act as a data science standard setter, helping define best practice, raising the quality bar, and developing others within the team. Scope of Work Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data led solutions. Autonomous AI (Emerging): Agent based systems and AI workflows, used selectively where they add clear value. 75-80% of the role is focused on Data Science led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. Core Responsibilities Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring. Translate ambiguous business problems into hypothesis driven data science solutions, grounded in statistical rigour and practical feasibility. Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable. Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility. Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management. Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value. Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision making at senior levels. Manage delivery timelines, risks, and priorities across engagements. Set the standard for data science excellence, including coding standards, documentation, and best practices. Mentor junior team members, supporting their development as data scientists. The most important requirement for this role is proven, hands on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end to end machine learning or statistical solutions in real world environments. Requirements 5+ years' experience in Data Science or applied machine learning, ideally in consulting, high growth, or commercial environments. Strong applied machine learning expertise, including: Model selection and development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production quality, maintainable code. Experience with modern data science tooling, including: Version control (Git) Cloud platforms (AWS, GCP, or Azure) Experiment tracking and model management Workflow orchestration and containerisation Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management. Proven ability to translate business problems into data science solutions that deliver measurable outcomes. Beneficial Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise. Awareness of emerging AI paradigms (e.g. agent based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM based approaches) Other information If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you. JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs. Other information Discretionary bonus - based on personal and company performance 25 days annual leave + bank holidays Pension with a company contribution up to 8% Health Insurance from day 1 Life insurance and long term disability insurance Market leading parental leave policy Salary Sacrifice Nursery Scheme through YellowNest Salary Sacrifice EV Scheme with Octopus Vehicles Additional Health Cash Plan with MediCash Cycle to work scheme Re ferral bonus for bringing in new JMAN hires Extensive training and coaching opportunities Regular company socials and retreats Hybrid working - minimum of 3 days in the office (E3N)
Aug 24, 2026
Full time
JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. Position We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands on experience delivering applied machine learning and statistical modelling in real world settings. Internally, you will act as a data science standard setter, helping define best practice, raising the quality bar, and developing others within the team. Scope of Work Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data led solutions. Autonomous AI (Emerging): Agent based systems and AI workflows, used selectively where they add clear value. 75-80% of the role is focused on Data Science led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. Core Responsibilities Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring. Translate ambiguous business problems into hypothesis driven data science solutions, grounded in statistical rigour and practical feasibility. Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable. Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility. Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management. Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value. Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision making at senior levels. Manage delivery timelines, risks, and priorities across engagements. Set the standard for data science excellence, including coding standards, documentation, and best practices. Mentor junior team members, supporting their development as data scientists. The most important requirement for this role is proven, hands on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end to end machine learning or statistical solutions in real world environments. Requirements 5+ years' experience in Data Science or applied machine learning, ideally in consulting, high growth, or commercial environments. Strong applied machine learning expertise, including: Model selection and development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production quality, maintainable code. Experience with modern data science tooling, including: Version control (Git) Cloud platforms (AWS, GCP, or Azure) Experiment tracking and model management Workflow orchestration and containerisation Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management. Proven ability to translate business problems into data science solutions that deliver measurable outcomes. Beneficial Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise. Awareness of emerging AI paradigms (e.g. agent based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM based approaches) Other information If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you. JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs. Other information Discretionary bonus - based on personal and company performance 25 days annual leave + bank holidays Pension with a company contribution up to 8% Health Insurance from day 1 Life insurance and long term disability insurance Market leading parental leave policy Salary Sacrifice Nursery Scheme through YellowNest Salary Sacrifice EV Scheme with Octopus Vehicles Additional Health Cash Plan with MediCash Cycle to work scheme Re ferral bonus for bringing in new JMAN hires Extensive training and coaching opportunities Regular company socials and retreats Hybrid working - minimum of 3 days in the office (E3N)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Aug 24, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
End Date Wednesday 02 September 2026 Salary Range £92,701 - £109,060 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Senior Lead Data & AI Scientist SALARY:£92,701 - £108,000 LOCATION(S): Manchester HOURS: Full Time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at one of our office sites. About this opportunity Do you want to shape how AI, machine learning and agentic technologies improve the financial wellbeing of millions of customers? As a Senior Lead Data Scientist and AI & Machine Learning Engineer within our Financial Wellbeing Platform, you'll play a leading role in defining and delivering innovative AI solutions that help colleagues and customers make better financial decisions. You'll work across predictive AI, generative AI and intelligent agent technologies, combining deep technical expertise with strategic leadership to deliver solutions safely, responsibly and at scale! You'll help define our AI capability roadmap, influence technical direction across multiple teams and support the growth of data science and AI engineering capability across the Platform! This is an opportunity to work with talented colleagues, solve meaningful problems and influence how AI is applied at enterprise scale. You'll join a collaborative environment where learning, innovation and continuous improvement are encouraged, and where you'll have the opportunity to make a genuine impact through your work. In this role, you'll: Lead the design, development and optimisation of AI and machine learning solutions that address complex business challenges. Own delivery across the end-to-end AI lifecycle, from experimentation and model development through to deployment, monitoring and continuous improvement. Provide technical leadership across large, multi-team programmes, helping teams make sound engineering and architectural decisions. Partner with product, engineering, data and business teams to deliver scalable AI-powered products and services. Embed responsible AI, governance and risk management practices throughout development and deployment activities. Coach and develop data scientists and AI engineers, supporting capability growth and knowledge sharing across the wider organisation. Why Lloyds Banking Group? Like the modern Britain we serve, we're evolving. Investing in our people, data and technology to transform how we support customers and communities. We're growing our AI and machine learning capability to help shape the future of financial services. What you'll need We're looking for someone who combines advanced data science expertise with software engineering capability and technical leadership experience. Specifically, we're interested in: Data Science: Extensive experience developing, tuning and evaluating machine learning models and AI solutions in production environments. Machine Learning: Deep understanding of modern machine learning techniques, model deployment, monitoring and optimisation practices. Software Engineering: Strong capability building production-ready services using Python, SQL and modern engineering practices, including APIs, event-driven architectures and microservices. Technology Leadership: Experience providing technical leadership across complex, multi-team deliveries, influencing strategy and enabling high-quality outcomes. Critical Thinking: Ability to solve complex problems, analyse information effectively and make informed decisions in ambiguous environments. Stakeholder Management: Ability to communicate technical concepts clearly and build effective partnerships across engineering, product and business stakeholders. These requirements reflect the role's focus on AI delivery, technical leadership, software engineering, machine learning and enterprise-scale data science capability. And any experience of this would be really useful. Building agentic AI solutions, LLM-powered applications and retrieval-augmented generation (RAG) architectures. Experience with Vertex AI Agent Builder, Agentspace, LangGraph or multi-agent frameworks. Knowledge of responsible AI, model governance and risk management practices within regulated environments. Experience working within financial services or other highly regulated industries. Exposure to Azure, AWS or multi-cloud environments. Building technical communities, mentoring programmes or engineering guilds. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We're committed to creating an environment where everyone can thrive, learn and develop. We welcome applications from people with a broad range of backgrounds, experiences and perspectives. We provide reasonable adjustments throughout the recruitment process and in the workplace to reduce or remove barriers. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health condition or neurodivergent condition through the Disability Confident Scheme. If you need any adjustments during the recruitment process, please let us know. Benefits A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can help shape the future of AI in financial services while learning, growing and making a positive impact? About Lloyds Banking Group At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.
Aug 24, 2026
Full time
End Date Wednesday 02 September 2026 Salary Range £92,701 - £109,060 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Senior Lead Data & AI Scientist SALARY:£92,701 - £108,000 LOCATION(S): Manchester HOURS: Full Time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at one of our office sites. About this opportunity Do you want to shape how AI, machine learning and agentic technologies improve the financial wellbeing of millions of customers? As a Senior Lead Data Scientist and AI & Machine Learning Engineer within our Financial Wellbeing Platform, you'll play a leading role in defining and delivering innovative AI solutions that help colleagues and customers make better financial decisions. You'll work across predictive AI, generative AI and intelligent agent technologies, combining deep technical expertise with strategic leadership to deliver solutions safely, responsibly and at scale! You'll help define our AI capability roadmap, influence technical direction across multiple teams and support the growth of data science and AI engineering capability across the Platform! This is an opportunity to work with talented colleagues, solve meaningful problems and influence how AI is applied at enterprise scale. You'll join a collaborative environment where learning, innovation and continuous improvement are encouraged, and where you'll have the opportunity to make a genuine impact through your work. In this role, you'll: Lead the design, development and optimisation of AI and machine learning solutions that address complex business challenges. Own delivery across the end-to-end AI lifecycle, from experimentation and model development through to deployment, monitoring and continuous improvement. Provide technical leadership across large, multi-team programmes, helping teams make sound engineering and architectural decisions. Partner with product, engineering, data and business teams to deliver scalable AI-powered products and services. Embed responsible AI, governance and risk management practices throughout development and deployment activities. Coach and develop data scientists and AI engineers, supporting capability growth and knowledge sharing across the wider organisation. Why Lloyds Banking Group? Like the modern Britain we serve, we're evolving. Investing in our people, data and technology to transform how we support customers and communities. We're growing our AI and machine learning capability to help shape the future of financial services. What you'll need We're looking for someone who combines advanced data science expertise with software engineering capability and technical leadership experience. Specifically, we're interested in: Data Science: Extensive experience developing, tuning and evaluating machine learning models and AI solutions in production environments. Machine Learning: Deep understanding of modern machine learning techniques, model deployment, monitoring and optimisation practices. Software Engineering: Strong capability building production-ready services using Python, SQL and modern engineering practices, including APIs, event-driven architectures and microservices. Technology Leadership: Experience providing technical leadership across complex, multi-team deliveries, influencing strategy and enabling high-quality outcomes. Critical Thinking: Ability to solve complex problems, analyse information effectively and make informed decisions in ambiguous environments. Stakeholder Management: Ability to communicate technical concepts clearly and build effective partnerships across engineering, product and business stakeholders. These requirements reflect the role's focus on AI delivery, technical leadership, software engineering, machine learning and enterprise-scale data science capability. And any experience of this would be really useful. Building agentic AI solutions, LLM-powered applications and retrieval-augmented generation (RAG) architectures. Experience with Vertex AI Agent Builder, Agentspace, LangGraph or multi-agent frameworks. Knowledge of responsible AI, model governance and risk management practices within regulated environments. Experience working within financial services or other highly regulated industries. Exposure to Azure, AWS or multi-cloud environments. Building technical communities, mentoring programmes or engineering guilds. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We're committed to creating an environment where everyone can thrive, learn and develop. We welcome applications from people with a broad range of backgrounds, experiences and perspectives. We provide reasonable adjustments throughout the recruitment process and in the workplace to reduce or remove barriers. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health condition or neurodivergent condition through the Disability Confident Scheme. If you need any adjustments during the recruitment process, please let us know. Benefits A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can help shape the future of AI in financial services while learning, growing and making a positive impact? About Lloyds Banking Group At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.
Harnham - Data & Analytics Recruitment
Leicester, Leicestershire
I'm hiring a Home Risk Pricing Manager for a leading UK insurer with a strong reputation for investing in pricing, analytics, and data science. This role sits within the Home Pricing function and offers a blend of pricing strategy, analytical problem-solving, and team leadership , supporting the delivery of profitable growth across the home insurance portfolio. The role Reporting into the Senior Home Risk Pricing Manager, you'll play a key role in shaping pricing strategy for the home insurance book. This isn't a pure modelling role. Instead, you'll use models, data, and pricing insight to make commercial decisions about how pricing should be adjusted to drive growth and profitability. You'll spend roughly half your time leading and coaching analysts, with the remainder focused on hands-on pricing analysis and strategy. What you'll be doing Lead and develop a small team of pricing analysts Analyse policy, quote, claims, market and risk data to identify pricing opportunities Develop and deliver pricing insights to improve profitability and growth Work closely with Data Science, Actuarial, Underwriting and Engineering teams Critically review pricing and risk models developed by actuaries and data scientists Translate model outputs into effective pricing strategies and actions Identify customer segments where pricing can be optimised Support peer reviews, coaching and mentoring across the team What they're looking for Essential Personal lines insurance pricing experience (Home, Motor, Van, Travel, Bike, etc.) Senior Pricing Analyst, Risk Pricing Analyst, Pricing Manager or Risk Pricing Manager background Strong analytical and commercial mindset Experience working with pricing and risk models Strong stakeholder management and communication skills Python preferred (R also considered) SQL experience is beneficial Ability to turn analytical findings into pricing strategy and business outcomes Nice to have Team leadership or mentoring experience Experience managing pricing portfolios Exposure to Home Insurance pricing specifically Why join? Highly respected pricing and analytics function Opportunity to influence a major Home Insurance portfolio Strong blend of leadership and hands-on analytical work Flexible hybrid working Excellent benefits package Opportunity to work alongside Pricing, Data Science, Underwriting and Actuarial specialists Package £65,000-£80,000 (potential flexibility for exceptional candidates) £5,000 car allowance Annual bonus scheme Private medical insurance Matched pension up to 10% 27 days holiday + bank holidays Hybrid working
Aug 24, 2026
Full time
I'm hiring a Home Risk Pricing Manager for a leading UK insurer with a strong reputation for investing in pricing, analytics, and data science. This role sits within the Home Pricing function and offers a blend of pricing strategy, analytical problem-solving, and team leadership , supporting the delivery of profitable growth across the home insurance portfolio. The role Reporting into the Senior Home Risk Pricing Manager, you'll play a key role in shaping pricing strategy for the home insurance book. This isn't a pure modelling role. Instead, you'll use models, data, and pricing insight to make commercial decisions about how pricing should be adjusted to drive growth and profitability. You'll spend roughly half your time leading and coaching analysts, with the remainder focused on hands-on pricing analysis and strategy. What you'll be doing Lead and develop a small team of pricing analysts Analyse policy, quote, claims, market and risk data to identify pricing opportunities Develop and deliver pricing insights to improve profitability and growth Work closely with Data Science, Actuarial, Underwriting and Engineering teams Critically review pricing and risk models developed by actuaries and data scientists Translate model outputs into effective pricing strategies and actions Identify customer segments where pricing can be optimised Support peer reviews, coaching and mentoring across the team What they're looking for Essential Personal lines insurance pricing experience (Home, Motor, Van, Travel, Bike, etc.) Senior Pricing Analyst, Risk Pricing Analyst, Pricing Manager or Risk Pricing Manager background Strong analytical and commercial mindset Experience working with pricing and risk models Strong stakeholder management and communication skills Python preferred (R also considered) SQL experience is beneficial Ability to turn analytical findings into pricing strategy and business outcomes Nice to have Team leadership or mentoring experience Experience managing pricing portfolios Exposure to Home Insurance pricing specifically Why join? Highly respected pricing and analytics function Opportunity to influence a major Home Insurance portfolio Strong blend of leadership and hands-on analytical work Flexible hybrid working Excellent benefits package Opportunity to work alongside Pricing, Data Science, Underwriting and Actuarial specialists Package £65,000-£80,000 (potential flexibility for exceptional candidates) £5,000 car allowance Annual bonus scheme Private medical insurance Matched pension up to 10% 27 days holiday + bank holidays Hybrid working
Role: Product & Account Lead Contract: Contract 6-12 months, Hybrid (ASAP start) Salary: Competitive Location: Greater Oxford Area A note from the Founders Oxford Dynamics is at an inflection point. We have spent five years building AI and robotic systems for some of the most demanding environments in the world. We are now taking that technology into the private sector, and life sciences is where we are starting. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast-growing UK deep-tech company developing AI and robotic systems designed to operate in mission-critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi-modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real-world environments. Alongside our defence and security work, we are building a private sector business applying the same technology to scientific and industrial problems. Our biotech partnership is the flagship of that effort - using AVIS to help researchers navigate vast, fragmented scientific data and get to answers faster. What you will be doing here / why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach, and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as our Product & Account Lead you will be an essential part of our success. This is a role with a name on it. You will own our biotech account outright - the client relationship, the product, the team that builds it, and how the account performs commercially. You will be the person the client calls and the person our engineers look to for direction. There is no established playbook here; you will be writing it. If you are excited by owning a client relationship, shaping a product, and growing an account from first deployment to long-term partnership, this role is built for you! Role Summary Oxford Dynamics seeks a Product & Account Lead to own our biotech account end to end. You will hold the client relationship, set product priorities from client and market needs, direct the internal delivery team, and carry responsibility for the commercial performance and growth of the account. The role bridges cutting-edge AI and practical deployment, making sure what we build lands with real users, gets adopted, and turns into a scalable long-term partnership. This is a private sector role. No security clearance is required. Key Responsibilities Own the Biotech Account Act as the primary point of contact for the client, building trust at every level from day-to-day users through to senior stakeholders. Set and manage priorities with the client, keeping expectations, scope and commitments clear and realistic on both sides. Run communication end to end: regular updates, structured reviews, honest escalation when something slips, and no surprises. Own delivery into the account, from what is promised through to what actually ships and gets used. Take responsibility for overall account performance - health, satisfaction, renewal risk and commercial outcomes - and report on it to leadership. Lead the Product and Team Manage the internal team delivering the account, setting direction, sequencing work and keeping momentum going. Translate client feedback and market needs into a clear product roadmap, deciding what gets built next and why. Coordinate resources across engineering, AI, design and commercial functions, flagging constraints early and resolving competing demands. Ensure everyone is aligned on responsibilities and outcomes, so each person knows what they own and what good looks like. Partner with Tech Leads on design and architecture trade-offs, aligning what is technically ambitious with what the client actually needs. Drive Delivery and Scale Own project plans, milestones and deadlines, managing scope, risk and change control to deliver on time and within cost. Identify growth opportunities within the account and pursue them, expanding usage into new teams, workflows and use cases. Increase adoption and revenue, tracking the metrics that show the product is genuinely embedded in the client's work. Solve problems independently, making decisions with incomplete information and escalating with options rather than open questions. Build a scalable long-term account, replacing one-off effort with repeatable process so the relationship grows without breaking. Reporting and Ways of Working Run lightweight Agile ceremonies appropriate to the team, with clear acceptance criteria and measurable outcomes for each increment. Produce crisp client and leadership reporting, acting as the single point of contact to unblock issues across internal teams, suppliers and stakeholders. Oversee vendor and subcontractor deliverables, ensuring integrations meet contractual, performance and quality requirements. Uphold data handling, confidentiality and quality standards appropriate to working with sensitive commercial and scientific data. Skills and Experience 5+ years managing AI projects with multiple stakeholders, delivering production releases in fast-moving environments. Proven ownership of a client relationship end to end, including commercial responsibility for how that account performs. Background in biotech, pharma or life sciences - understanding the requirements of our customers and speaking their language. Track record translating customer and market needs into product priorities that engineering teams can execute. Experience leading or coordinating technical teams, with the credibility to discuss trade-offs with engineers. Comfortable around modern AI and software stacks - LLMs, RAG, data pipelines, Python and React or equivalent - without needing to write the code yourself. Strong scope, requirements and budget control, with practical command of milestones, risk and change control. Genuinely self-directed: comfortable operating without a playbook and building the process as you go. Preferred / Bonus Experience growing an account through expansion, upsell or renewal, with measurable adoption and revenue outcomes. Portfolio of shipped AI or software products with measurable outcomes and references you can point to. Familiarity with scientific or research data, or with regulated environments. Comfort presenting to senior stakeholders and contributing to business development activities and proposals. Soft Skills High-agency ownership from first conversation to long-term partnership, with a bias to clarity, iteration and decision-making under uncertainty. Excellent communication across technical and non-technical audiences - scientists, engineers and executives alike - enabling fast, safe progress across disciplines. Commercial instinct: able to spot where value sits for the client and turn that into growth for the account. Calm, structured problem-solving during incidents and changing constraints, with clear follow-through on actions and learning. What We Offer Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Competitive Day Rate - outside IR35 Flexible working hours Hybrid working model Generous 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
Aug 24, 2026
Full time
Role: Product & Account Lead Contract: Contract 6-12 months, Hybrid (ASAP start) Salary: Competitive Location: Greater Oxford Area A note from the Founders Oxford Dynamics is at an inflection point. We have spent five years building AI and robotic systems for some of the most demanding environments in the world. We are now taking that technology into the private sector, and life sciences is where we are starting. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast-growing UK deep-tech company developing AI and robotic systems designed to operate in mission-critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi-modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real-world environments. Alongside our defence and security work, we are building a private sector business applying the same technology to scientific and industrial problems. Our biotech partnership is the flagship of that effort - using AVIS to help researchers navigate vast, fragmented scientific data and get to answers faster. What you will be doing here / why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach, and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as our Product & Account Lead you will be an essential part of our success. This is a role with a name on it. You will own our biotech account outright - the client relationship, the product, the team that builds it, and how the account performs commercially. You will be the person the client calls and the person our engineers look to for direction. There is no established playbook here; you will be writing it. If you are excited by owning a client relationship, shaping a product, and growing an account from first deployment to long-term partnership, this role is built for you! Role Summary Oxford Dynamics seeks a Product & Account Lead to own our biotech account end to end. You will hold the client relationship, set product priorities from client and market needs, direct the internal delivery team, and carry responsibility for the commercial performance and growth of the account. The role bridges cutting-edge AI and practical deployment, making sure what we build lands with real users, gets adopted, and turns into a scalable long-term partnership. This is a private sector role. No security clearance is required. Key Responsibilities Own the Biotech Account Act as the primary point of contact for the client, building trust at every level from day-to-day users through to senior stakeholders. Set and manage priorities with the client, keeping expectations, scope and commitments clear and realistic on both sides. Run communication end to end: regular updates, structured reviews, honest escalation when something slips, and no surprises. Own delivery into the account, from what is promised through to what actually ships and gets used. Take responsibility for overall account performance - health, satisfaction, renewal risk and commercial outcomes - and report on it to leadership. Lead the Product and Team Manage the internal team delivering the account, setting direction, sequencing work and keeping momentum going. Translate client feedback and market needs into a clear product roadmap, deciding what gets built next and why. Coordinate resources across engineering, AI, design and commercial functions, flagging constraints early and resolving competing demands. Ensure everyone is aligned on responsibilities and outcomes, so each person knows what they own and what good looks like. Partner with Tech Leads on design and architecture trade-offs, aligning what is technically ambitious with what the client actually needs. Drive Delivery and Scale Own project plans, milestones and deadlines, managing scope, risk and change control to deliver on time and within cost. Identify growth opportunities within the account and pursue them, expanding usage into new teams, workflows and use cases. Increase adoption and revenue, tracking the metrics that show the product is genuinely embedded in the client's work. Solve problems independently, making decisions with incomplete information and escalating with options rather than open questions. Build a scalable long-term account, replacing one-off effort with repeatable process so the relationship grows without breaking. Reporting and Ways of Working Run lightweight Agile ceremonies appropriate to the team, with clear acceptance criteria and measurable outcomes for each increment. Produce crisp client and leadership reporting, acting as the single point of contact to unblock issues across internal teams, suppliers and stakeholders. Oversee vendor and subcontractor deliverables, ensuring integrations meet contractual, performance and quality requirements. Uphold data handling, confidentiality and quality standards appropriate to working with sensitive commercial and scientific data. Skills and Experience 5+ years managing AI projects with multiple stakeholders, delivering production releases in fast-moving environments. Proven ownership of a client relationship end to end, including commercial responsibility for how that account performs. Background in biotech, pharma or life sciences - understanding the requirements of our customers and speaking their language. Track record translating customer and market needs into product priorities that engineering teams can execute. Experience leading or coordinating technical teams, with the credibility to discuss trade-offs with engineers. Comfortable around modern AI and software stacks - LLMs, RAG, data pipelines, Python and React or equivalent - without needing to write the code yourself. Strong scope, requirements and budget control, with practical command of milestones, risk and change control. Genuinely self-directed: comfortable operating without a playbook and building the process as you go. Preferred / Bonus Experience growing an account through expansion, upsell or renewal, with measurable adoption and revenue outcomes. Portfolio of shipped AI or software products with measurable outcomes and references you can point to. Familiarity with scientific or research data, or with regulated environments. Comfort presenting to senior stakeholders and contributing to business development activities and proposals. Soft Skills High-agency ownership from first conversation to long-term partnership, with a bias to clarity, iteration and decision-making under uncertainty. Excellent communication across technical and non-technical audiences - scientists, engineers and executives alike - enabling fast, safe progress across disciplines. Commercial instinct: able to spot where value sits for the client and turn that into growth for the account. Calm, structured problem-solving during incidents and changing constraints, with clear follow-through on actions and learning. What We Offer Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Competitive Day Rate - outside IR35 Flexible working hours Hybrid working model Generous 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
White Collar Factory (95009), United Kingdom, London, London Senior Manager Architect - Data Location: London or Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the role Do you love shaping the architectural technical direction of large, complex Data transformation initiatives? It's an exciting time at Capital One UK - We're on a mission to unlock organisational pace and Data agility, through creating our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative, real-time, intelligent experiences to our customers. Capital One's Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption. You will invest in architecture excellence across the Data team, and foster innovation to unlock value across our user community of Engineers, Data Scientists, Data Analysts & Data Governance associates. Come and help us shape the future of financial services in the Cloud. What you'll do Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain Partner with Product Management, Engineering, Cyber and our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns Enable simplification across our architecture, processes and technologies, by encouraging and fostering UK standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team and the broader Architecture organisation Collaborate with your peers in UK architecture and engage in the wider Enterprise architecture group What you'll bring Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication skills, effortlessly navigating across tech, architecture, product and senior stakeholders to achieve alignment Proficiency in software development principles, patterns, and practices including CI/CD Passion for growing architectural and data led thinking, with experience in embedding & scaling this within in a large Enterprise setting An ability to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross functional organisation There is no one type of architect; you are the glue that adds value where it's needed. To achieve this you are flexible, adapting your approach to meet the needs of the team, initiative, or product. You solicit differing views, are willing to change your mind and perspective as you learn more, and are adept at building consensus to align stakeholders to a common direction Experience in Financial Services or Regulated sector beneficial Where and how you'll work This is a permanent position which can be based in either our London or Nottingham offices. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing . click apply for full job details
Aug 24, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Senior Manager Architect - Data Location: London or Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the role Do you love shaping the architectural technical direction of large, complex Data transformation initiatives? It's an exciting time at Capital One UK - We're on a mission to unlock organisational pace and Data agility, through creating our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative, real-time, intelligent experiences to our customers. Capital One's Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption. You will invest in architecture excellence across the Data team, and foster innovation to unlock value across our user community of Engineers, Data Scientists, Data Analysts & Data Governance associates. Come and help us shape the future of financial services in the Cloud. What you'll do Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain Partner with Product Management, Engineering, Cyber and our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns Enable simplification across our architecture, processes and technologies, by encouraging and fostering UK standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team and the broader Architecture organisation Collaborate with your peers in UK architecture and engage in the wider Enterprise architecture group What you'll bring Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication skills, effortlessly navigating across tech, architecture, product and senior stakeholders to achieve alignment Proficiency in software development principles, patterns, and practices including CI/CD Passion for growing architectural and data led thinking, with experience in embedding & scaling this within in a large Enterprise setting An ability to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross functional organisation There is no one type of architect; you are the glue that adds value where it's needed. To achieve this you are flexible, adapting your approach to meet the needs of the team, initiative, or product. You solicit differing views, are willing to change your mind and perspective as you learn more, and are adept at building consensus to align stakeholders to a common direction Experience in Financial Services or Regulated sector beneficial Where and how you'll work This is a permanent position which can be based in either our London or Nottingham offices. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing . click apply for full job details
AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.
Aug 24, 2026
Full time
AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.
Why We Exist At Raylo, we're on a mission to accelerate the move to a circular economy. The only way customers and manufacturers will make that shift is if it's simple and cost-effective - this is where we come in. We're building a category-defining global subscription infrastructure, making premium tech accessible and affordable for both consumers and businesses. With over 180,000 subscribers in the UK and growth accelerating - we've proven the demand for a smarter, more sustainable way to access technology. Raylo is a fast-growing and profitable company, backed by global investors including Macquarie, NatWest, and Channel 4 Ventures. We are proud to have been selected for Endeavor's network in 2024, underscoring our role as a high impact, mission driven business with global ambitions. And in 2025 we were recognised as part of Tech Nation's UK's Future Fifty programme. We have been B Corp certified since 2021 and were recently acknowledged by S&P Global for the positive impact of our circular business model via a Green Financing with NatWest. At Raylo, performance matters. We set ambitious goals, move fast, and hold ourselves to a high standard, because our mission is too important to settle for less. Our Core Values Be deeply curious - We thrive on innovation through diverse approaches, views, and people. Walk in your customer's shoes - To build the best products and make the best decisions for the long term, we must figure out what our customers need, not just what they want. Focus and execute - We have a big vision, but we believe in nailing the most important problems first. Be gritty - Only gritty teams succeed. Our individual ownership, passion, and perseverance mean we're a team through thick and thin. What to Expect We're looking for an ambitious Senior Strategy Manager to join Raylo and take a leading role in shaping our collections and recoveries strategy. You'll own the strategic development of one of the most important levers in Raylo's unit economics, working across collections journeys, recovery operations, and partner strategy. Using data driven insights, you'll identify how we can improve performance, scale sustainably, and support Raylo's rapid growth across new products, verticals and markets. Collections and Recoveries sit at the heart of Raylo's proposition: enabling customers to access technology in a more sustainable, circular way while maintaining strong economics as we scale. You'll bring deep analytical thinking and strong commercial judgement to design and evolve strategies that balance customer experience, operational effectiveness and financial outcomes. Working closely with operations, product, finance and external partners, you'll help translate insight into action and build strategies that are robust, scalable and innovative. Raylo is a category defining business with big ambitions in the UK and internationally. In this role, you'll collaborate closely with senior leaders across the business, influencing decisions that have a material impact on growth, profitability and expansion into new markets. This is a rare opportunity for a strategic, hands on leader to shape a core pillar of Raylo's success and play a meaningful role in the next phase of our journey. What You'll Do Reporting to the Director of Strategy & Analytics - you'll work closely with cross functional partners to define and scale Raylo's global collections and recoveries strategy across products, verticals and markets. You'll use your technical and analytical expertise to champion data informed decisions - that materially improve performance, balancing customer outcomes with strong unit economics as Raylo continues to grow. You'll collaborate closely with internal teams across operations, product, finance and engineering, as well as external partners - to turn insight into action and deliver meaningful, measurable change. You'll bring strong commercial judgement - confidently navigating competing priorities and stakeholders to design strategies that are robust, scalable and aligned with Raylo's broader objectives. Your work will play a direct role in enabling Raylo's sustainable, circular approach - to consumer electronics, ensuring that growth is responsible, efficient and built to last. You'll Succeed With A proven track record with 5+ years of experience - in analytics or data focused collections and recovery strategy roles. A 2:1 or higher from a top university - preferably in a STEM or quantitative discipline. Using your technical skills (SQL, Python) - to get into the details of our collections and recovery strategies, leveraging internal and external datasets to deliver actionable insight into critical business functions. The ability to also step back from the detail of the data and think strategically - while delivering as part of a larger team. Collaborating in a fast paced environment - across the business with diverse skill sets and personality types. You have great stakeholder management skills and love using your analytical skills to champion data driven decision making and educate others. Taking responsibility and ownership - for the work in the entire area - if you're not getting it done, then no one is. Opportunities & Benefits We are continuously improving and listening to our quarterly employee surveys to provide the best opportunities and benefits for our employees. Share in Raylo's success - Stock options for all employees Get the latest tech - Exclusive Raylo device lease for employees Hybrid working model - (London) 3 set days in our London Bridge office: Monday, Wednesday & Thursday 33 days off, your way - 25 days + 8 bank holidays with full flexibility to use on the days that mean the most to you Invest in your growth - L&D budget to support the skills you value Fast track your career - Two performance reviews a year Family first policies - Enhanced maternity, paternity, adoption or shared parental leave, if you've been with us for 12 months. Save big on childcare - Workplace nursery scheme for major cost savings Perks on perks - Perkbox membership with discounts & wellbeing benefits Good times, guaranteed - Optional quarterly socials, plus summer & Christmas parties Hiring Process What's next? Once you submit your application, our Talent Team will contact you if you have been shortlisted for the role. We set an exceptionally high bar at Raylo, and in return, we will aim to give you the best candidate experience possible. If there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason, please let us know. Stage 1: Talent Screening Stage 2: Hiring Manager Interview + SQL Test Stage 3: On site Interview Stage 4: Values based Interview & Co founder Final As an FCA-regulated business, we conduct background checks (DBS and AML) on all successful candidates who are offered a position at Raylo during the onboarding process. Diversity & Inclusion at Raylo At Raylo, we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives, believing they make us stronger.
Aug 24, 2026
Full time
Why We Exist At Raylo, we're on a mission to accelerate the move to a circular economy. The only way customers and manufacturers will make that shift is if it's simple and cost-effective - this is where we come in. We're building a category-defining global subscription infrastructure, making premium tech accessible and affordable for both consumers and businesses. With over 180,000 subscribers in the UK and growth accelerating - we've proven the demand for a smarter, more sustainable way to access technology. Raylo is a fast-growing and profitable company, backed by global investors including Macquarie, NatWest, and Channel 4 Ventures. We are proud to have been selected for Endeavor's network in 2024, underscoring our role as a high impact, mission driven business with global ambitions. And in 2025 we were recognised as part of Tech Nation's UK's Future Fifty programme. We have been B Corp certified since 2021 and were recently acknowledged by S&P Global for the positive impact of our circular business model via a Green Financing with NatWest. At Raylo, performance matters. We set ambitious goals, move fast, and hold ourselves to a high standard, because our mission is too important to settle for less. Our Core Values Be deeply curious - We thrive on innovation through diverse approaches, views, and people. Walk in your customer's shoes - To build the best products and make the best decisions for the long term, we must figure out what our customers need, not just what they want. Focus and execute - We have a big vision, but we believe in nailing the most important problems first. Be gritty - Only gritty teams succeed. Our individual ownership, passion, and perseverance mean we're a team through thick and thin. What to Expect We're looking for an ambitious Senior Strategy Manager to join Raylo and take a leading role in shaping our collections and recoveries strategy. You'll own the strategic development of one of the most important levers in Raylo's unit economics, working across collections journeys, recovery operations, and partner strategy. Using data driven insights, you'll identify how we can improve performance, scale sustainably, and support Raylo's rapid growth across new products, verticals and markets. Collections and Recoveries sit at the heart of Raylo's proposition: enabling customers to access technology in a more sustainable, circular way while maintaining strong economics as we scale. You'll bring deep analytical thinking and strong commercial judgement to design and evolve strategies that balance customer experience, operational effectiveness and financial outcomes. Working closely with operations, product, finance and external partners, you'll help translate insight into action and build strategies that are robust, scalable and innovative. Raylo is a category defining business with big ambitions in the UK and internationally. In this role, you'll collaborate closely with senior leaders across the business, influencing decisions that have a material impact on growth, profitability and expansion into new markets. This is a rare opportunity for a strategic, hands on leader to shape a core pillar of Raylo's success and play a meaningful role in the next phase of our journey. What You'll Do Reporting to the Director of Strategy & Analytics - you'll work closely with cross functional partners to define and scale Raylo's global collections and recoveries strategy across products, verticals and markets. You'll use your technical and analytical expertise to champion data informed decisions - that materially improve performance, balancing customer outcomes with strong unit economics as Raylo continues to grow. You'll collaborate closely with internal teams across operations, product, finance and engineering, as well as external partners - to turn insight into action and deliver meaningful, measurable change. You'll bring strong commercial judgement - confidently navigating competing priorities and stakeholders to design strategies that are robust, scalable and aligned with Raylo's broader objectives. Your work will play a direct role in enabling Raylo's sustainable, circular approach - to consumer electronics, ensuring that growth is responsible, efficient and built to last. You'll Succeed With A proven track record with 5+ years of experience - in analytics or data focused collections and recovery strategy roles. A 2:1 or higher from a top university - preferably in a STEM or quantitative discipline. Using your technical skills (SQL, Python) - to get into the details of our collections and recovery strategies, leveraging internal and external datasets to deliver actionable insight into critical business functions. The ability to also step back from the detail of the data and think strategically - while delivering as part of a larger team. Collaborating in a fast paced environment - across the business with diverse skill sets and personality types. You have great stakeholder management skills and love using your analytical skills to champion data driven decision making and educate others. Taking responsibility and ownership - for the work in the entire area - if you're not getting it done, then no one is. Opportunities & Benefits We are continuously improving and listening to our quarterly employee surveys to provide the best opportunities and benefits for our employees. Share in Raylo's success - Stock options for all employees Get the latest tech - Exclusive Raylo device lease for employees Hybrid working model - (London) 3 set days in our London Bridge office: Monday, Wednesday & Thursday 33 days off, your way - 25 days + 8 bank holidays with full flexibility to use on the days that mean the most to you Invest in your growth - L&D budget to support the skills you value Fast track your career - Two performance reviews a year Family first policies - Enhanced maternity, paternity, adoption or shared parental leave, if you've been with us for 12 months. Save big on childcare - Workplace nursery scheme for major cost savings Perks on perks - Perkbox membership with discounts & wellbeing benefits Good times, guaranteed - Optional quarterly socials, plus summer & Christmas parties Hiring Process What's next? Once you submit your application, our Talent Team will contact you if you have been shortlisted for the role. We set an exceptionally high bar at Raylo, and in return, we will aim to give you the best candidate experience possible. If there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason, please let us know. Stage 1: Talent Screening Stage 2: Hiring Manager Interview + SQL Test Stage 3: On site Interview Stage 4: Values based Interview & Co founder Final As an FCA-regulated business, we conduct background checks (DBS and AML) on all successful candidates who are offered a position at Raylo during the onboarding process. Diversity & Inclusion at Raylo At Raylo, we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives, believing they make us stronger.
About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.
Aug 23, 2026
Full time
About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.
Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.
Aug 23, 2026
Full time
Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.
Citi Markets is a leading global markets and securities services business operating across fixed income, currencies, commodities, equities, and prime finance. Our operation is uniquely global. Our client list is remarkably varied. Our product range is incredibly broad. But we're not the finished article. We have big ambitions for the future and all the resources we need to reach them, including some of the smartest people in the industry. At Citi Markets, we win together. In a rapidly changing world, our shared vision gives us the clarity, agility and global perspectives we need to shape the future. Director on the EMEA Cash Electronic Execution Desk the role is a senior leadership role within the Equities Markets division, responsible for driving the growth, optimization, and risk management of Citi's electronic equities trading franchise across the UK, Europe, Middle East, and Africa. This role blends quantitative market structure expertise, client-facing relationship management, algorithmic trading proficiency, and rigorous regulatory oversight. You will lead client engagement on electronic execution, collaborate with Quantitative Research and Technology to enhance algorithmic strategies, and ensure our platform operates under the highest standards of risk control and regulatory compliance. This is an opportunity to shape the future of electronic execution in one of the world's most dynamic equities franchises. Primary Responsibilities Drive revenue growth and market share expansion across the EMEA electronic execution franchise by developing strategic relationships with institutional clients including asset managers, hedge funds, pension funds, and sovereign wealth funds Lead the design, optimization, and deployment of algorithmic trading strategies across cash equities, working closely with Quantitative Research, Technology, and Market Structure teams to enhance execution quality and client outcomes Manage comprehensive risk oversight of electronic trading activity, including real-time P&L monitoring, position management, market impact analysis, and regulatory capital optimization across multi asset class electronic flows Collaborate cross functionally with Sales, Research, Prime Finance, and Product teams to deliver integrated solutions that address complex client execution challenges and capture emerging market opportunities Ensure strict adherence to regulatory requirements including MiFID II/MiFIR, FCA Conduct Rules, market abuse regulations, and internal risk frameworks, maintaining robust controls over algorithmic trading systems Mentor and develop junior traders and sales professionals, fostering a culture of continuous learning, innovation, and collaboration within the Electronic Execution team What We Need from You Extensive experience in electronic equities trading, algorithmic execution, or quantitative market making within a tier 1 investment bank or institutional buy side firm, with proven track record of revenue generation and client relationship management Deep expertise in equity market microstructure, algorithmic trading strategies (VWAP, TWAP, implementation shortfall, arrival price, POV), smart order routing, dark pool liquidity, and regulatory frameworks governing electronic execution in European markets Strong quantitative and analytical skills with proficiency in programming languages such as Python, R, or SQL, and experience working with execution management systems (EMS), order management systems (OMS), and market data platforms Demonstrated ability to build and maintain senior level client relationships across institutional investor segments, with exceptional communication skills to articulate complex trading strategies and market insights to both technical and non technical audiences Comprehensive understanding of FCA/PRA regulatory requirements, MiFID II/MiFIR transparency obligations, best execution principles, and trade reporting standards applicable to electronic equities trading Bachelor's degree in Finance, Economics, Mathematics, Engineering, Computer Science, or related quantitative discipline; advanced degree (MSc, PhD, MBA, CFA) strongly preferred What Citi Can Offer You By joining Citi London, 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. This job description provides a high-level review of the types of work performed. Other job related duties may be assigned as required. Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016. Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorised as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role. Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety: Honesty, Integrity and Reputation Financial soundness Competence and capability In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above. This assessment will be carried out through extensive interviews, self-disclosures, permitted criminal record checks, regulated reference checks, credit checks and other background screening checks. Job Family Group: Institutional Sales Job Family: Investor Sales 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 Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Aug 22, 2026
Full time
Citi Markets is a leading global markets and securities services business operating across fixed income, currencies, commodities, equities, and prime finance. Our operation is uniquely global. Our client list is remarkably varied. Our product range is incredibly broad. But we're not the finished article. We have big ambitions for the future and all the resources we need to reach them, including some of the smartest people in the industry. At Citi Markets, we win together. In a rapidly changing world, our shared vision gives us the clarity, agility and global perspectives we need to shape the future. Director on the EMEA Cash Electronic Execution Desk the role is a senior leadership role within the Equities Markets division, responsible for driving the growth, optimization, and risk management of Citi's electronic equities trading franchise across the UK, Europe, Middle East, and Africa. This role blends quantitative market structure expertise, client-facing relationship management, algorithmic trading proficiency, and rigorous regulatory oversight. You will lead client engagement on electronic execution, collaborate with Quantitative Research and Technology to enhance algorithmic strategies, and ensure our platform operates under the highest standards of risk control and regulatory compliance. This is an opportunity to shape the future of electronic execution in one of the world's most dynamic equities franchises. Primary Responsibilities Drive revenue growth and market share expansion across the EMEA electronic execution franchise by developing strategic relationships with institutional clients including asset managers, hedge funds, pension funds, and sovereign wealth funds Lead the design, optimization, and deployment of algorithmic trading strategies across cash equities, working closely with Quantitative Research, Technology, and Market Structure teams to enhance execution quality and client outcomes Manage comprehensive risk oversight of electronic trading activity, including real-time P&L monitoring, position management, market impact analysis, and regulatory capital optimization across multi asset class electronic flows Collaborate cross functionally with Sales, Research, Prime Finance, and Product teams to deliver integrated solutions that address complex client execution challenges and capture emerging market opportunities Ensure strict adherence to regulatory requirements including MiFID II/MiFIR, FCA Conduct Rules, market abuse regulations, and internal risk frameworks, maintaining robust controls over algorithmic trading systems Mentor and develop junior traders and sales professionals, fostering a culture of continuous learning, innovation, and collaboration within the Electronic Execution team What We Need from You Extensive experience in electronic equities trading, algorithmic execution, or quantitative market making within a tier 1 investment bank or institutional buy side firm, with proven track record of revenue generation and client relationship management Deep expertise in equity market microstructure, algorithmic trading strategies (VWAP, TWAP, implementation shortfall, arrival price, POV), smart order routing, dark pool liquidity, and regulatory frameworks governing electronic execution in European markets Strong quantitative and analytical skills with proficiency in programming languages such as Python, R, or SQL, and experience working with execution management systems (EMS), order management systems (OMS), and market data platforms Demonstrated ability to build and maintain senior level client relationships across institutional investor segments, with exceptional communication skills to articulate complex trading strategies and market insights to both technical and non technical audiences Comprehensive understanding of FCA/PRA regulatory requirements, MiFID II/MiFIR transparency obligations, best execution principles, and trade reporting standards applicable to electronic equities trading Bachelor's degree in Finance, Economics, Mathematics, Engineering, Computer Science, or related quantitative discipline; advanced degree (MSc, PhD, MBA, CFA) strongly preferred What Citi Can Offer You By joining Citi London, 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. This job description provides a high-level review of the types of work performed. Other job related duties may be assigned as required. Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016. Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorised as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role. Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety: Honesty, Integrity and Reputation Financial soundness Competence and capability In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above. This assessment will be carried out through extensive interviews, self-disclosures, permitted criminal record checks, regulated reference checks, credit checks and other background screening checks. Job Family Group: Institutional Sales Job Family: Investor Sales 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 Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
About Meridial Meridial is a Focused Research Organisation (FRO) with a mission to bring connectomics into the living brain. We are building a platform for longitudinal, synapse-resolution mapping of functional neural circuitry in preclinical models. Our aim is to deploy this platform for translational projects and improve drug development outcomes for disorders of the Central Nervous System. Meridial is a new not-for-profit FRO in the Convergent Research Ecosystem, powered by the Advanced Research and Invention Agency (ARIA). About the role Meridial is seeking an entrepreneurial Software Engineer to take ownership of the software systems at the heart of our multi-photon microscopy platform. This is a broad hands on role spanning hardware control, data acquisition, user interfaces, and analysis pipelines. You will work at the intersection of software and science, collaborating closely with FPGA engineers, experimental neuroscientists, and a growing data team. The near-term priority is maintaining, debugging, and extending our existing MATLAB-based microscope control software. Immediate goals include adding new experimental functionality, improving data handling, and developing real time analysis modules. You will need to learn the workings of a legacy system quickly, including by working with external contractors, and deploy solutions with an eye toward future fundamental improvements. Longer term, you will help define and drive the architectural evolution of the software stack, potentially including migration from MATLAB toward open source systems. As the company grows, there will also be opportunities to contribute to data architecture, offline scientific analysis pipelines, and web portals. This role will report to the Director of Engineering and work closely with experimentalists, with clear scope to grow into technical leadership of the software function. Key Responsibilities Own and evolve the microscope software stack, from low-level hardware control to user interfaces and real-time analysis layers Maintain, debug, and extend the existing MATLAB codebase as the near-term priority, keeping experimental workflows unblocked Develop and maintain new interfaces for data acquisition, instrument control, and synchronisation across complex instrument subsystems Collaborate with FPGA engineering to define and implement software control and acquisition architectures Work across software and mechatronics boundaries - stages, robotic platforms, motion control, inverse kinematics, and collision avoidance Build and evolve real-time and offline image analysis pipelines supporting the full experimental workflow Work with the team to translate scientific requirements into robust software systems Contribute to longer-term architectural evolution - modularising the stack, defining APIs, and evaluating migration pathways toward more scalable and maintainable systems Required Qualifications Strong background in software engineering for hardware-integrated or instrumentation systems Experience with Python for data analysis and pipeline development Experience designing modular software architectures: layered systems, clean APIs, separation of concerns Experience interfacing software with hardware: data acquisition, control systems, synchronisation Ability to work across abstraction layers, from low-level control to higher-level application logic Strong debugging and problem-solving skills across software, hardware, and system-level interactions Preferred Qualifications Degree in Computer Science, Software Engineering or related field Genuine scientific curiosity - an interest in neuroscience, imaging, or the underlying biology is a real advantage Experience with scientific instrumentation, microscopy, or imaging systems Proficiency in systems level programming - Rust, C, or C++ - with a focus on performance, reliability, and maintainability Exposure to large-scale or longitudinal data processing (e.g. volumetric or time-series datasets) Experience refactoring or migrating software into modern architectures Familiarity with motion control, robotics, or kinematic systems Experience working with or alongside FPGA-based systems Physical Demands Fine motor skills for operating computers and lab/instrumentation tools Position Type / Schedule Full-time, 40 hours/week Lab location based in London or Cambridge - ability to travel to both preferred Work arrangement: Hybrid with expected regular onsite presence Additional Information Application materials: CV/resume + cover letter + 2 references For exceptional candidates, we will consider sponsoring visas and supporting relocation Compensation: competitive salary commensurate with experience Generous Benefits will be communicated in interviews £85,000 - £100,000 a year We are an Equal Employment Opportunity employer and do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable law or company policy. We strive for a diverse, healthy and safe workplace and strictly prohibit harassment of any kind.
Aug 22, 2026
Full time
About Meridial Meridial is a Focused Research Organisation (FRO) with a mission to bring connectomics into the living brain. We are building a platform for longitudinal, synapse-resolution mapping of functional neural circuitry in preclinical models. Our aim is to deploy this platform for translational projects and improve drug development outcomes for disorders of the Central Nervous System. Meridial is a new not-for-profit FRO in the Convergent Research Ecosystem, powered by the Advanced Research and Invention Agency (ARIA). About the role Meridial is seeking an entrepreneurial Software Engineer to take ownership of the software systems at the heart of our multi-photon microscopy platform. This is a broad hands on role spanning hardware control, data acquisition, user interfaces, and analysis pipelines. You will work at the intersection of software and science, collaborating closely with FPGA engineers, experimental neuroscientists, and a growing data team. The near-term priority is maintaining, debugging, and extending our existing MATLAB-based microscope control software. Immediate goals include adding new experimental functionality, improving data handling, and developing real time analysis modules. You will need to learn the workings of a legacy system quickly, including by working with external contractors, and deploy solutions with an eye toward future fundamental improvements. Longer term, you will help define and drive the architectural evolution of the software stack, potentially including migration from MATLAB toward open source systems. As the company grows, there will also be opportunities to contribute to data architecture, offline scientific analysis pipelines, and web portals. This role will report to the Director of Engineering and work closely with experimentalists, with clear scope to grow into technical leadership of the software function. Key Responsibilities Own and evolve the microscope software stack, from low-level hardware control to user interfaces and real-time analysis layers Maintain, debug, and extend the existing MATLAB codebase as the near-term priority, keeping experimental workflows unblocked Develop and maintain new interfaces for data acquisition, instrument control, and synchronisation across complex instrument subsystems Collaborate with FPGA engineering to define and implement software control and acquisition architectures Work across software and mechatronics boundaries - stages, robotic platforms, motion control, inverse kinematics, and collision avoidance Build and evolve real-time and offline image analysis pipelines supporting the full experimental workflow Work with the team to translate scientific requirements into robust software systems Contribute to longer-term architectural evolution - modularising the stack, defining APIs, and evaluating migration pathways toward more scalable and maintainable systems Required Qualifications Strong background in software engineering for hardware-integrated or instrumentation systems Experience with Python for data analysis and pipeline development Experience designing modular software architectures: layered systems, clean APIs, separation of concerns Experience interfacing software with hardware: data acquisition, control systems, synchronisation Ability to work across abstraction layers, from low-level control to higher-level application logic Strong debugging and problem-solving skills across software, hardware, and system-level interactions Preferred Qualifications Degree in Computer Science, Software Engineering or related field Genuine scientific curiosity - an interest in neuroscience, imaging, or the underlying biology is a real advantage Experience with scientific instrumentation, microscopy, or imaging systems Proficiency in systems level programming - Rust, C, or C++ - with a focus on performance, reliability, and maintainability Exposure to large-scale or longitudinal data processing (e.g. volumetric or time-series datasets) Experience refactoring or migrating software into modern architectures Familiarity with motion control, robotics, or kinematic systems Experience working with or alongside FPGA-based systems Physical Demands Fine motor skills for operating computers and lab/instrumentation tools Position Type / Schedule Full-time, 40 hours/week Lab location based in London or Cambridge - ability to travel to both preferred Work arrangement: Hybrid with expected regular onsite presence Additional Information Application materials: CV/resume + cover letter + 2 references For exceptional candidates, we will consider sponsoring visas and supporting relocation Compensation: competitive salary commensurate with experience Generous Benefits will be communicated in interviews £85,000 - £100,000 a year We are an Equal Employment Opportunity employer and do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable law or company policy. We strive for a diverse, healthy and safe workplace and strictly prohibit harassment of any kind.
About the company the company is the AI platform powering global debt markets - the world's largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. the company replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, the company powers teams at 300+ blue chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best in class retention driven by deep workflow adoption. We're at a defining inflection point. With proven product market fit and strong, global market pull, the company is accelerating toward becoming the category defining platform for debt markets worldwide. What You'll DoProduct Strategy & Execution Define the product vision and strategy for the company's external data distribution: APIs, data shares, and future delivery mechanisms (cloud sync, pub/sub). Own the data catalogue decisions: which datasets to expose, in what format, through which channels, and in what order, balancing client demand, data readiness, and commercial potential Design the developer experience end-to-end: API design, documentation, developer portal, sandbox/playground, error handling, rate limiting, and versioning Work with analytics engineering and domain teams to define schemas, data models, and transformation logic that make the company's data consumable and valuable outside the application Use a partner model to validate early: select and work closely with 1-2 clients during development to co develop and prove out each data product before broader launch Shape the commercial model for API products: packaging, tiering, usage based pricing, distribution controls, and entitlement structures that capture the value of programmatic data access Data Quality, Infrastructure & Compliance Partner with the Head of Analytics to ensure data products meet the reliability, freshness, and accuracy standards that enterprise clients building automated systems expect Define SLAs for data delivery (latency, uptime, completeness) and build the monitoring and metering infrastructure to back them up Own the entitlements and access control layer: ensuring the right clients can access the right data under the right contractual terms, with appropriate usage limits and controls Work with Legal to define data usage policies, including restrictions on redistribution, AI training and model embedding, and onward use, protecting the company's data IP while enabling legitimate client workflows Establish feedback loops between API consumers and domain teams so that usage patterns and client requests improve the underlying data over time Cross-Functional Leadership & GTM Coordinate across platform engineering, analytics engineering, domain squads, and the Head of Analytics to align priorities and ship a cohesive product without a dedicated squad Influence teams you do not manage; build relationships that make cross-functional delivery work despite competing priorities Support the shift to a solution-selling GTM motion: work with Sales and Customer Success on partner selection, POC design, technical onboarding, and commercial structuring for API deals Engage directly with enterprise clients and their technical teams during pilots and integrations; this is a client-facing role, not a back office one Communicate strategy, progress, and trade-offs transparently to leadership, engineering, and commercial teams Translate technical API and data infrastructure concepts into language that non-technical stakeholders (Sales, Legal, Finance) can act on What We're Looking For 5+ years of product management experience, with at least 2 years building API products, data platforms, or data distribution products at a B2B company Experience designing APIs for external consumers: you have opinions on schema design, versioning strategies, rate limiting, and what makes developer documentation actually useful Track record of shipping data products where you managed the full lifecycle: from defining what data to expose, through schema design, to commercial packaging and client onboarding Understanding of data infrastructure concepts: data pipelines, warehouses, ETL/ELT, data modelling, and platforms like Snowflake Comfortable with SQL and Python and capable of interrogating data to validate quality, understand usage patterns, and inform product decisions Experience working in a solution selling or partner led GTM model: you have been involved in POCs, pilots, or co development with enterprise clients, not just self serve product launches Proven ability to lead cross-functionally without a dedicated team: you coordinate across engineering, data, and commercial functions through influence, not authority Strong commercial instinct: you understand how enterprise data buyers evaluate providers, and you can shape a product that competes on data quality, coverage, and ease of integration Clear communicator who can translate between technical and commercial audiences Nice to Have Familiarity with credit markets, debt instruments, or how buy side/sell side firms consume financial data Experience with Snowflake data sharing, marketplace listings, or similar cloud data distribution mechanisms Experience building entitlements, licensing, or access control systems for data products Understanding of data licensing, redistribution terms, or AI usage policies in the context of enterprise data products Benefits Pension with 7% company matching Private medical insurance, paid sick leave, income protection, group life assurance Season ticket and cycle-to-work schemes Hybrid flexibility with up to 3 months annual work abroad 25 holiday days plus local public holidays (exchangeable) One-month paid sabbatical after 5 years; enhanced parental leave Professional development budget and regular social events the company is an equal opportunities employer At the company we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you're excited about this role but your experience doesn't perfectly align with the job description, we encourage you to apply anyway. You might just be who we're looking for - either for this role, or perhaps another.
Aug 21, 2026
Full time
About the company the company is the AI platform powering global debt markets - the world's largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. the company replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, the company powers teams at 300+ blue chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best in class retention driven by deep workflow adoption. We're at a defining inflection point. With proven product market fit and strong, global market pull, the company is accelerating toward becoming the category defining platform for debt markets worldwide. What You'll DoProduct Strategy & Execution Define the product vision and strategy for the company's external data distribution: APIs, data shares, and future delivery mechanisms (cloud sync, pub/sub). Own the data catalogue decisions: which datasets to expose, in what format, through which channels, and in what order, balancing client demand, data readiness, and commercial potential Design the developer experience end-to-end: API design, documentation, developer portal, sandbox/playground, error handling, rate limiting, and versioning Work with analytics engineering and domain teams to define schemas, data models, and transformation logic that make the company's data consumable and valuable outside the application Use a partner model to validate early: select and work closely with 1-2 clients during development to co develop and prove out each data product before broader launch Shape the commercial model for API products: packaging, tiering, usage based pricing, distribution controls, and entitlement structures that capture the value of programmatic data access Data Quality, Infrastructure & Compliance Partner with the Head of Analytics to ensure data products meet the reliability, freshness, and accuracy standards that enterprise clients building automated systems expect Define SLAs for data delivery (latency, uptime, completeness) and build the monitoring and metering infrastructure to back them up Own the entitlements and access control layer: ensuring the right clients can access the right data under the right contractual terms, with appropriate usage limits and controls Work with Legal to define data usage policies, including restrictions on redistribution, AI training and model embedding, and onward use, protecting the company's data IP while enabling legitimate client workflows Establish feedback loops between API consumers and domain teams so that usage patterns and client requests improve the underlying data over time Cross-Functional Leadership & GTM Coordinate across platform engineering, analytics engineering, domain squads, and the Head of Analytics to align priorities and ship a cohesive product without a dedicated squad Influence teams you do not manage; build relationships that make cross-functional delivery work despite competing priorities Support the shift to a solution-selling GTM motion: work with Sales and Customer Success on partner selection, POC design, technical onboarding, and commercial structuring for API deals Engage directly with enterprise clients and their technical teams during pilots and integrations; this is a client-facing role, not a back office one Communicate strategy, progress, and trade-offs transparently to leadership, engineering, and commercial teams Translate technical API and data infrastructure concepts into language that non-technical stakeholders (Sales, Legal, Finance) can act on What We're Looking For 5+ years of product management experience, with at least 2 years building API products, data platforms, or data distribution products at a B2B company Experience designing APIs for external consumers: you have opinions on schema design, versioning strategies, rate limiting, and what makes developer documentation actually useful Track record of shipping data products where you managed the full lifecycle: from defining what data to expose, through schema design, to commercial packaging and client onboarding Understanding of data infrastructure concepts: data pipelines, warehouses, ETL/ELT, data modelling, and platforms like Snowflake Comfortable with SQL and Python and capable of interrogating data to validate quality, understand usage patterns, and inform product decisions Experience working in a solution selling or partner led GTM model: you have been involved in POCs, pilots, or co development with enterprise clients, not just self serve product launches Proven ability to lead cross-functionally without a dedicated team: you coordinate across engineering, data, and commercial functions through influence, not authority Strong commercial instinct: you understand how enterprise data buyers evaluate providers, and you can shape a product that competes on data quality, coverage, and ease of integration Clear communicator who can translate between technical and commercial audiences Nice to Have Familiarity with credit markets, debt instruments, or how buy side/sell side firms consume financial data Experience with Snowflake data sharing, marketplace listings, or similar cloud data distribution mechanisms Experience building entitlements, licensing, or access control systems for data products Understanding of data licensing, redistribution terms, or AI usage policies in the context of enterprise data products Benefits Pension with 7% company matching Private medical insurance, paid sick leave, income protection, group life assurance Season ticket and cycle-to-work schemes Hybrid flexibility with up to 3 months annual work abroad 25 holiday days plus local public holidays (exchangeable) One-month paid sabbatical after 5 years; enhanced parental leave Professional development budget and regular social events the company is an equal opportunities employer At the company we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you're excited about this role but your experience doesn't perfectly align with the job description, we encourage you to apply anyway. You might just be who we're looking for - either for this role, or perhaps another.
Do you have a background in Application Security, DevSecOps or Product Security, with hands-on experience embedding application security into the SDLC If so, this could be an opportunity worth considering. Join a well-established health research organisation and charity supporting large-scale medical research. You will work closely with engineering, architecture and cloud teams to integrate security throughout the software development lifecycle. Microsoft Azure and KQL experience are essential, alongside relevant experience in CI/CD, Kubernetes, API security, security-as-code and security automation. This is a hands-on application security role focused on secure design, application security testing and supporting development teams to build secure applications. This is a full-time permanent role predominantly remote / hybrid in London offerings benefits and a salary of £80,000 which can be negotiable for right candidate. Please only apply if you have right to work in the UK as Visa sponsorship is not available. You will be responsible for: Working with engineering and architecture teams to promote secure development. Implementing and maintaining application security testing solutions. Integrating security controls into CI/CD pipelines. Strengthening the security of GitHub Actions and similar CI/CD platforms. Providing guidance on secure API design and externally accessible systems. Supporting Azure cloud infrastructure, including Azure Kubernetes Service (AKS). Developing security-as-code and policy-as-code. Supporting the security of cloud-hosted data platforms. Automating security processes through infrastructure-as-code and scripting. Maintaining technical and security documentation. Supporting development teams with security tooling and best practices. Contributing to threat modelling and compliance activities. Applications are welcomed from candidates with the required experience from backgrounds including: Application Security Engineer, DevSecOps Engineer, Product Security Engineer, Security Engineer - Application Security, Security Engineer - Product Security, DevOps Security Engineer, Application Security Consultant, Security Engineer - DevSecOps, Secure Software Engineer, Application Security Specialist, Application Security Architect What we are looking for: Hands-on experience embedding application security into the SDLC. Experience with Microsoft Azure security controls and cloud security governance. Experience with KQL. Experience securing APIs, internet-facing services, Kubernetes, preferably AKS, and containerised environments. Experience with SAST, DAST, IAST and SCA. Knowledge of security automation, security-/policy-as-code and secure engineering practices. Familiarity with GitHub and GitHub Actions. Experience with Terraform and Python. Understanding of cloud security governance. Experience with threat modelling in software engineering contexts. Knowledge of ISO 27001 and its relevance to secure engineering. Exposure to Agile working environments and DevSecOps practices Ideally experience securing data platforms such as Databricks, Dagster or Snowflake Eligible to work in the UK. This is an excellent opportunity for a Senior Application Security Engineer where you can make a meaningful impact on the safe and effective adoption of emerging technologies. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources are an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Businesses Regulations 2003.
Aug 21, 2026
Full time
Do you have a background in Application Security, DevSecOps or Product Security, with hands-on experience embedding application security into the SDLC If so, this could be an opportunity worth considering. Join a well-established health research organisation and charity supporting large-scale medical research. You will work closely with engineering, architecture and cloud teams to integrate security throughout the software development lifecycle. Microsoft Azure and KQL experience are essential, alongside relevant experience in CI/CD, Kubernetes, API security, security-as-code and security automation. This is a hands-on application security role focused on secure design, application security testing and supporting development teams to build secure applications. This is a full-time permanent role predominantly remote / hybrid in London offerings benefits and a salary of £80,000 which can be negotiable for right candidate. Please only apply if you have right to work in the UK as Visa sponsorship is not available. You will be responsible for: Working with engineering and architecture teams to promote secure development. Implementing and maintaining application security testing solutions. Integrating security controls into CI/CD pipelines. Strengthening the security of GitHub Actions and similar CI/CD platforms. Providing guidance on secure API design and externally accessible systems. Supporting Azure cloud infrastructure, including Azure Kubernetes Service (AKS). Developing security-as-code and policy-as-code. Supporting the security of cloud-hosted data platforms. Automating security processes through infrastructure-as-code and scripting. Maintaining technical and security documentation. Supporting development teams with security tooling and best practices. Contributing to threat modelling and compliance activities. Applications are welcomed from candidates with the required experience from backgrounds including: Application Security Engineer, DevSecOps Engineer, Product Security Engineer, Security Engineer - Application Security, Security Engineer - Product Security, DevOps Security Engineer, Application Security Consultant, Security Engineer - DevSecOps, Secure Software Engineer, Application Security Specialist, Application Security Architect What we are looking for: Hands-on experience embedding application security into the SDLC. Experience with Microsoft Azure security controls and cloud security governance. Experience with KQL. Experience securing APIs, internet-facing services, Kubernetes, preferably AKS, and containerised environments. Experience with SAST, DAST, IAST and SCA. Knowledge of security automation, security-/policy-as-code and secure engineering practices. Familiarity with GitHub and GitHub Actions. Experience with Terraform and Python. Understanding of cloud security governance. Experience with threat modelling in software engineering contexts. Knowledge of ISO 27001 and its relevance to secure engineering. Exposure to Agile working environments and DevSecOps practices Ideally experience securing data platforms such as Databricks, Dagster or Snowflake Eligible to work in the UK. This is an excellent opportunity for a Senior Application Security Engineer where you can make a meaningful impact on the safe and effective adoption of emerging technologies. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources are an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Businesses Regulations 2003.
At Citi Markets, we win together. In a rapidly changing world, our shared vision gives us the clarity, agility and global perspectives we need to shape the future. That's why collaboration plays a central role in how we deliver for clients, develop our people, and grow our business. Our operation is uniquely global. Our client list is remarkably varied. Our product range is incredibly broad. Within Strategic Equity Solutions business, we are at the forefront of innovation in private capital markets, delivering bespoke capital raising and liquidity solutions to the world's most sophisticated alternative asset managers and institutional investors. As a Director-level ABS Structurer, you will play a pivotal role in originating, structuring, and executing asset backed securities such as Collateralised Fund Obligations (CFOs) and Rated Note Feeder (RNF) structures for Tier-1 private equity, private credit, and alternative asset managers globally. This is a high-impact, revenue-generating position at the intersection of structured credit, fund finance, and capital markets. You will work directly with C-suite executives at leading sponsors to design innovative capital raising and financing solutions that unlock liquidity from illiquid portfolios while creating investment-grade rated debt tranches for institutional investors. Our open, supportive culture empowers us to share clients, ideas, and success, creating new possibilities with every conversation and redefining the future of private capital markets. Primary Responsibilities of the Role Design and execute complex ABS transactions from origination through closing, including structuring multi-tiered capital stacks (Senior, Mezzanine, and Equity tranches), building sophisticated cash flow waterfall models that account for unpredictable LP distributions, J-curve dynamics, and capital call schedules, and optimizing credit enhancement mechanisms including overcollateralization tests, reserve accounts, and liquidity facilities Drive rating agency engagement and regulatory advisory, managing the end-to-end rating process with KBRA, Fitch, Moody's, S&P and Morningstar DBRS, preparing comprehensive collateral data tapes and rating presentations, negotiating eligibility criteria and concentration limits, and ensuring structures achieve optimal capital treatment under Solvency II, NAIC, and other regulatory frameworks Originate and pitch solutions to alternative asset managers, developing tailored proposals that address capital raising and liquidity needs, presenting complex financial engineering concepts to GP management teams, and building long term strategic relationships with key decision makers Contribute to the placement by engaging with debt and equity buyers, presenting the opportunity and addressing questions and investor diligence requirements Manage legal negotiations and transaction execution, collaborating with internal and external counsel to draft offering memoranda, indentures, credit agreements, SPV formation documents and negotiating transfer restrictions on LP interests and bankruptcy-remote structures Develop innovative product solutions that address evolving market needs in private capital liquidity, staying ahead of regulatory changes and market trends, and contributing to the strategic development of Citi's Strategic Equity Solutions platform Mentor and develop junior team members, providing technical guidance on complex modelling and structuring challenges, fostering a collaborative team environment, and contributing to knowledge sharing initiatives across the broader Markets organization What We Need from You This is a Director level role, therefore we require extensive structured finance experience in Asset-Backed Securitization, Structured Credit, CLO Structuring, NAV Lending, Fund Finance, including a proven track record of successfully executing complex securitizations or bespoke fund-level financing transactions with demonstrable revenue generation Deep technical and quantitative expertise including mastery of advanced financial modelling (Excel, VBA, Python, or specialized structured finance software such as Intex), ability to build and stress-test complex cash flow waterfall models and strong understanding of SPV structures, bankruptcy-remote entities, and security pledge mechanics Comprehensive private markets knowledge with expert level understanding of private equity, private credit, venture capital, and hedge fund mechanics including NAV calculations, capital calls, distributions, LP agreements, and GP led transactions, as well as familiarity with fund structures across multiple jurisdictions Rating agency and regulatory fluency with demonstrated experience managing rating agency processes and achieving investment grade ratings, strong grasp of insurance capital frameworks (Solvency II, NAIC/RBC) and their impact on structure design, and knowledge of UK/EU Securitisation Regulations and risk retention requirements Exceptional client facing and communication skills with ability to explain highly complex financial engineering concepts to C-suite executives, sponsors, and institutional investors, strong negotiation capabilities to align conflicting stakeholder interests, and proven ability to build and maintain senior level relationships with alternative asset managers Academic credentials and professional qualifications including a Bachelor's degree in Finance, Mathematics, Engineering, Economics, or a highly quantitative field (MBA, CFA, or relevant advanced degree strongly preferred), combined with strong project management skills to coordinate multi month transactions involving sponsors, rating agencies, legal counsel, auditors, and syndication teams What Citi Can Offer You By joining Citi London, 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. If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise - then apply today. This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016. Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorised as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role. Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety: Honesty, Integrity and Reputation Financial soundness Competence and capability In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above. This assessment will be carried out through extensive interviews, self disclosures, permitted criminal record checks, regulated reference checks, credit checks and other background screening checks. Job Family Group: Institutional Trading Job Family: Structuring 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 Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Aug 21, 2026
Full time
At Citi Markets, we win together. In a rapidly changing world, our shared vision gives us the clarity, agility and global perspectives we need to shape the future. That's why collaboration plays a central role in how we deliver for clients, develop our people, and grow our business. Our operation is uniquely global. Our client list is remarkably varied. Our product range is incredibly broad. Within Strategic Equity Solutions business, we are at the forefront of innovation in private capital markets, delivering bespoke capital raising and liquidity solutions to the world's most sophisticated alternative asset managers and institutional investors. As a Director-level ABS Structurer, you will play a pivotal role in originating, structuring, and executing asset backed securities such as Collateralised Fund Obligations (CFOs) and Rated Note Feeder (RNF) structures for Tier-1 private equity, private credit, and alternative asset managers globally. This is a high-impact, revenue-generating position at the intersection of structured credit, fund finance, and capital markets. You will work directly with C-suite executives at leading sponsors to design innovative capital raising and financing solutions that unlock liquidity from illiquid portfolios while creating investment-grade rated debt tranches for institutional investors. Our open, supportive culture empowers us to share clients, ideas, and success, creating new possibilities with every conversation and redefining the future of private capital markets. Primary Responsibilities of the Role Design and execute complex ABS transactions from origination through closing, including structuring multi-tiered capital stacks (Senior, Mezzanine, and Equity tranches), building sophisticated cash flow waterfall models that account for unpredictable LP distributions, J-curve dynamics, and capital call schedules, and optimizing credit enhancement mechanisms including overcollateralization tests, reserve accounts, and liquidity facilities Drive rating agency engagement and regulatory advisory, managing the end-to-end rating process with KBRA, Fitch, Moody's, S&P and Morningstar DBRS, preparing comprehensive collateral data tapes and rating presentations, negotiating eligibility criteria and concentration limits, and ensuring structures achieve optimal capital treatment under Solvency II, NAIC, and other regulatory frameworks Originate and pitch solutions to alternative asset managers, developing tailored proposals that address capital raising and liquidity needs, presenting complex financial engineering concepts to GP management teams, and building long term strategic relationships with key decision makers Contribute to the placement by engaging with debt and equity buyers, presenting the opportunity and addressing questions and investor diligence requirements Manage legal negotiations and transaction execution, collaborating with internal and external counsel to draft offering memoranda, indentures, credit agreements, SPV formation documents and negotiating transfer restrictions on LP interests and bankruptcy-remote structures Develop innovative product solutions that address evolving market needs in private capital liquidity, staying ahead of regulatory changes and market trends, and contributing to the strategic development of Citi's Strategic Equity Solutions platform Mentor and develop junior team members, providing technical guidance on complex modelling and structuring challenges, fostering a collaborative team environment, and contributing to knowledge sharing initiatives across the broader Markets organization What We Need from You This is a Director level role, therefore we require extensive structured finance experience in Asset-Backed Securitization, Structured Credit, CLO Structuring, NAV Lending, Fund Finance, including a proven track record of successfully executing complex securitizations or bespoke fund-level financing transactions with demonstrable revenue generation Deep technical and quantitative expertise including mastery of advanced financial modelling (Excel, VBA, Python, or specialized structured finance software such as Intex), ability to build and stress-test complex cash flow waterfall models and strong understanding of SPV structures, bankruptcy-remote entities, and security pledge mechanics Comprehensive private markets knowledge with expert level understanding of private equity, private credit, venture capital, and hedge fund mechanics including NAV calculations, capital calls, distributions, LP agreements, and GP led transactions, as well as familiarity with fund structures across multiple jurisdictions Rating agency and regulatory fluency with demonstrated experience managing rating agency processes and achieving investment grade ratings, strong grasp of insurance capital frameworks (Solvency II, NAIC/RBC) and their impact on structure design, and knowledge of UK/EU Securitisation Regulations and risk retention requirements Exceptional client facing and communication skills with ability to explain highly complex financial engineering concepts to C-suite executives, sponsors, and institutional investors, strong negotiation capabilities to align conflicting stakeholder interests, and proven ability to build and maintain senior level relationships with alternative asset managers Academic credentials and professional qualifications including a Bachelor's degree in Finance, Mathematics, Engineering, Economics, or a highly quantitative field (MBA, CFA, or relevant advanced degree strongly preferred), combined with strong project management skills to coordinate multi month transactions involving sponsors, rating agencies, legal counsel, auditors, and syndication teams What Citi Can Offer You By joining Citi London, 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. If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise - then apply today. This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016. Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorised as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role. Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety: Honesty, Integrity and Reputation Financial soundness Competence and capability In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above. This assessment will be carried out through extensive interviews, self disclosures, permitted criminal record checks, regulated reference checks, credit checks and other background screening checks. Job Family Group: Institutional Trading Job Family: Structuring 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 Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Senior/Principal Penetration Tester / Experienced Red Team Consultant Testing Team United Kingdom Remote working options Full Time About the role Rootshell Security is seeking an experienced Senior / Principal Penetration Tester / Red Team Consultant to join our rapidly expanding Offensive Security team. This role is suited to a highly capable security professional with extensive experience delivering complex penetration testing and adversary simulation engagements across a range of sectors, including critical national infrastructure, financial services, and government organisations. You will be responsible for delivering advanced Red Team operations, intelligence-led security assessments, and bespoke attack simulations that help our clients understand their true resilience against modern threat actors. The position involves a combination of remote engagements and on site client activities across the United Kingdom. Rootshell Security is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. Please do not apply if you are based outside the UK and/or are not eligible to apply for UK Security Clearance. Role responsibilities Lead and deliver advanced penetration testing and Red Team engagements Conduct intelligence-led adversary emulation and attack simulation exercises Deliver engagements aligned to recognised frameworks including TIBER-EU, CBEST, DORA, GBEST and STAR-FS Perform threat led security assessments against complex enterprise environments Develop Red Team infrastructure, tooling, attack paths and operational plans Conduct phishing, social engineering and physical assessment activities where authorised Support pre sales activities including technical scoping and solution design Produce high-quality technical reports and executive level findings Contribute to the development of Rootshell Security methodologies, research and innovation Skills we are looking for Mandatory Requirements Must be eligible to apply for UK Security Clearance Must be permanently based within the United Kingdom Must have several years of provable commercial experience delivering Red Team engagements Excellent working knowledge of the MITRE ATT&CK Framework Demonstrable experience delivering engagements aligned to TIBER-EU, CBEST, DORA and other threat led testing frameworks Strong knowledge of adversary emulation, attack path development and operational security Excellent report writing and client communication skills Strong network, infrastructure, Active Directory and cloud attack experience Experience operating against Azure, AWS and hybrid enterprise environments Certifications Must hold or have previously held a recognised Red Team certification demonstrating advanced offensive security capability, Typically CREST or CyberScheme Currently holds or has held Team Leader certifications in either Infrastructure and/or Applications Currently holds professional title of Principal / Chartered or would be eligible to apply Social engineering and phishing operation experience Physical intrusion testing experience Threat intelligence and Purple Team experience Malware analysis or custom tooling development Experience briefing senior stakeholders and board level audiences Proficiency in Python, PowerShell or C# development Company benefits Long-term career progression opportunities Continuous technical and non-technical training Regular attendance at industry conferences, events and community meetups Exposure to a diverse range of engagements across multiple sectors Dedicated research and innovation time Opportunity to influence Rootshell's offensive security capabilities and methodologies Mentoring and career development from senior leadership Recognition and reward for innovation, technical excellence and client impact Equality, Diversity, and Inclusion at Rootshell Security We are committed to fostering an inclusive and diverse workplace where everyone is valued and respected. We believe that a diverse team drives innovation and excellence, and we welcome applications from individuals of all backgrounds, experiences, and perspectives. As a proud holder of the Bronze Award under the Defence Employer Recognition Scheme (ERS), we actively support the Armed Forces community, aligning with the principles of the Armed Forces Covenant. We recognise the valuable skills and experiences that service personnel, reservists, and veterans bring to the workplace and encourage them to apply. Rootshell Security is an equal opportunities employer. We do not discriminate based on age, disability, gender, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sexual orientation, or any other characteristic protected by law. If you require any reasonable adjustments during the recruitment process, please let us know-we are happy to support you.
Aug 20, 2026
Full time
Senior/Principal Penetration Tester / Experienced Red Team Consultant Testing Team United Kingdom Remote working options Full Time About the role Rootshell Security is seeking an experienced Senior / Principal Penetration Tester / Red Team Consultant to join our rapidly expanding Offensive Security team. This role is suited to a highly capable security professional with extensive experience delivering complex penetration testing and adversary simulation engagements across a range of sectors, including critical national infrastructure, financial services, and government organisations. You will be responsible for delivering advanced Red Team operations, intelligence-led security assessments, and bespoke attack simulations that help our clients understand their true resilience against modern threat actors. The position involves a combination of remote engagements and on site client activities across the United Kingdom. Rootshell Security is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. Please do not apply if you are based outside the UK and/or are not eligible to apply for UK Security Clearance. Role responsibilities Lead and deliver advanced penetration testing and Red Team engagements Conduct intelligence-led adversary emulation and attack simulation exercises Deliver engagements aligned to recognised frameworks including TIBER-EU, CBEST, DORA, GBEST and STAR-FS Perform threat led security assessments against complex enterprise environments Develop Red Team infrastructure, tooling, attack paths and operational plans Conduct phishing, social engineering and physical assessment activities where authorised Support pre sales activities including technical scoping and solution design Produce high-quality technical reports and executive level findings Contribute to the development of Rootshell Security methodologies, research and innovation Skills we are looking for Mandatory Requirements Must be eligible to apply for UK Security Clearance Must be permanently based within the United Kingdom Must have several years of provable commercial experience delivering Red Team engagements Excellent working knowledge of the MITRE ATT&CK Framework Demonstrable experience delivering engagements aligned to TIBER-EU, CBEST, DORA and other threat led testing frameworks Strong knowledge of adversary emulation, attack path development and operational security Excellent report writing and client communication skills Strong network, infrastructure, Active Directory and cloud attack experience Experience operating against Azure, AWS and hybrid enterprise environments Certifications Must hold or have previously held a recognised Red Team certification demonstrating advanced offensive security capability, Typically CREST or CyberScheme Currently holds or has held Team Leader certifications in either Infrastructure and/or Applications Currently holds professional title of Principal / Chartered or would be eligible to apply Social engineering and phishing operation experience Physical intrusion testing experience Threat intelligence and Purple Team experience Malware analysis or custom tooling development Experience briefing senior stakeholders and board level audiences Proficiency in Python, PowerShell or C# development Company benefits Long-term career progression opportunities Continuous technical and non-technical training Regular attendance at industry conferences, events and community meetups Exposure to a diverse range of engagements across multiple sectors Dedicated research and innovation time Opportunity to influence Rootshell's offensive security capabilities and methodologies Mentoring and career development from senior leadership Recognition and reward for innovation, technical excellence and client impact Equality, Diversity, and Inclusion at Rootshell Security We are committed to fostering an inclusive and diverse workplace where everyone is valued and respected. We believe that a diverse team drives innovation and excellence, and we welcome applications from individuals of all backgrounds, experiences, and perspectives. As a proud holder of the Bronze Award under the Defence Employer Recognition Scheme (ERS), we actively support the Armed Forces community, aligning with the principles of the Armed Forces Covenant. We recognise the valuable skills and experiences that service personnel, reservists, and veterans bring to the workplace and encourage them to apply. Rootshell Security is an equal opportunities employer. We do not discriminate based on age, disability, gender, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sexual orientation, or any other characteristic protected by law. If you require any reasonable adjustments during the recruitment process, please let us know-we are happy to support you.
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn, Instagram, and our Blog. Meet the team behind this journey Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to own the foundational modelling decisions behind the next generation of our most capable translation models. This is a high-impact, hands-on role for a researcher who can prototype rapidly, run large-scale experiments, and drive modelling choices all the way into production. In this competitive and highly dynamic field, you will decide which foundation models we build on, which architectures we adopt as we scale, and how we adapt a strong base model into a highly capable translation system working side by side with our post-training, RL, and instruction-following experts. You will: Drive the selection and evaluation of open foundation / open-weight models as the basis for our next-generation translation systems. Lead model selection and general architecture decisions for scaling to hundreds of billions of parameters, including Mixture-of-Experts and other sparse or efficient designs. Design multi-capability adaptation strategies using LoRA, PEFT, and related methods. Own the modelling lifecycle for your work: prototyping, ablations, scaling experiments, evaluation, and delivery into production, with rigorous and reproducible evaluation. Partner closely with post-training, RL/RLHF, and instruction-following specialists to integrate alignment and capability work into the base model. Stay ahead of the open-model and scaling literature, and bring well-founded recommendations back to the team. Qualities we look for Strong hands-on experience adapting and scaling large language models via fine-tuning, instruction-tuning, or post-training of multi-billion-parameter models beyond black-box use. Sound judgment about architecture trade-offs at scale (e.g. dense vs. MoE) and about which open-weight foundation models to build on. Working knowledge of parameter-efficient and multi-capability adaptation (LoRA/PEFT and variants). A hands-on builder who enjoys training models, running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience quantifying uncertainty in large models - calibration and confidence estimation via Bayesian methods, ensembling, steering, or prompt-based approaches. Experience with machine translation, multilingual NLP, or document-/layout-aware modelling experience. Familiarity with MoE-specific training and adaptation (e.g. expert routing, Mixture-of-LoRA-Experts) and large-scale data-mixture design. What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future. Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together-literally. Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
Aug 19, 2026
Full time
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn, Instagram, and our Blog. Meet the team behind this journey Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to own the foundational modelling decisions behind the next generation of our most capable translation models. This is a high-impact, hands-on role for a researcher who can prototype rapidly, run large-scale experiments, and drive modelling choices all the way into production. In this competitive and highly dynamic field, you will decide which foundation models we build on, which architectures we adopt as we scale, and how we adapt a strong base model into a highly capable translation system working side by side with our post-training, RL, and instruction-following experts. You will: Drive the selection and evaluation of open foundation / open-weight models as the basis for our next-generation translation systems. Lead model selection and general architecture decisions for scaling to hundreds of billions of parameters, including Mixture-of-Experts and other sparse or efficient designs. Design multi-capability adaptation strategies using LoRA, PEFT, and related methods. Own the modelling lifecycle for your work: prototyping, ablations, scaling experiments, evaluation, and delivery into production, with rigorous and reproducible evaluation. Partner closely with post-training, RL/RLHF, and instruction-following specialists to integrate alignment and capability work into the base model. Stay ahead of the open-model and scaling literature, and bring well-founded recommendations back to the team. Qualities we look for Strong hands-on experience adapting and scaling large language models via fine-tuning, instruction-tuning, or post-training of multi-billion-parameter models beyond black-box use. Sound judgment about architecture trade-offs at scale (e.g. dense vs. MoE) and about which open-weight foundation models to build on. Working knowledge of parameter-efficient and multi-capability adaptation (LoRA/PEFT and variants). A hands-on builder who enjoys training models, running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience quantifying uncertainty in large models - calibration and confidence estimation via Bayesian methods, ensembling, steering, or prompt-based approaches. Experience with machine translation, multilingual NLP, or document-/layout-aware modelling experience. Familiarity with MoE-specific training and adaptation (e.g. expert routing, Mixture-of-LoRA-Experts) and large-scale data-mixture design. What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future. Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together-literally. Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
