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# Senior Data Engineer Senior Data Engineer Business Area: Operations Place of Work: London Contract Type: Fixed Term Contract About the role In your role as Senior Data Engineer you will make a meaningful and valued contribution from the outset. This role will provide a great opportunity toassist in the development and build of the Investment Data Platform (IDP).This senior position is essential to advancing USSIM's data strategy project and wider agenda, aligning with the organisation's strategic objectives and shaping the technology, people and processes required to embed a data driven culture. Developing a Fabric Data Lakehouse for the Investment Management business, implementing scalable and secure ETL/ELT frameworks to ingest, transform and deliver data, across a medallion architecture. Knowledge share across a small team of data engineers, fostering strong data engineering practices aligned to industry standards. Working in partnership with architects, support the design and implementation of best practices in development and data disciplines. Partnering with business stakeholders, technology, data and analytics teams, to translate business needs into scalable solutions. Working with the Data Oversight and Information Security teams to ensure compliance with data security and privacy requirements, implementing secure-by-design engineering practices. Advocating and educating colleagues and stakeholders on data engineering capabilities, gaining stakeholder buy-in to the value and potential of the data platform's capabilities. Providing technical support and troubleshooting production issues. Analysing business requirements and document technical solutions and processes.We know that sometimes people can be put off applying for a job if they don't tick every box, if you're excited about working for us and have most of the skills or experience we're looking for, then please apply, regardless of whether you meet all the requirements outlined in this profile.To be successful in the role you will have: Significant practical data engineering experience delivering scalable data platform solutions on cloud technologies e.g. Microsoft Fabric, Databricks, Azure, Snowflake. Strong technical proficiency in data engineering and cloud technologies e.g. Python, Spark, SQL/NOSQL, PowerShell, Azure Data Factory, Azure DevOps. Professional experience in modern data warehousing, data lakes and lakehouse architectures. Agile practitioner with experience working with scrum teams, sprints, backlogs. Experience working in Investment Management, with a good understanding of the data which underpins Investment Management activities. Understanding and first-hand experience working with data masters, market data sources, data quality/cataloguing/lineage tools. Microsoft certified in Fabric Analytics Engineer such as DP-600 or DP-700. Excellent communication and interpersonal skills, operating at different levels across the organisation. Self-starter, enthusiastic, and hands-on individual who wants to make a difference in a team working environment.Desirable Understanding of both business and data architecture practices, with experience working with data models and toolsets such as Bizzdesign and ER/Studio. Understanding of data governance, data quality and data security practices, and experience in adopting and embedding these capabilities within platform deliveries. Qualification in Computer Science, Data Engineering, Data ScienceAt USS, every individual contributes to building a secure financial future for our members and their families. We strive to create a work environment where everyone can thrive professionally while making a meaningful impact on the lives of others. We're also committed to helping you build your career by providing opportunities for development. We put a focus on recognising and supporting each individual's unique career path, driving this forward with the support of an engaged and proactive management team.Here at USS, we want you to thrive in and out of work with a friendly team, flexible culture and excellent range of benefits! How we will reward you Great starting salary Generous annual leave package Access to a high quality pension scheme provided through Universities Superannuation Scheme Supportive people policies (including enhanced occupational sickness pay and family friendly pay) Financial contributions towards your personal development to help you maintain your physical and mental wellbeing Access to a range of health and wellbeing services i.e., private healthcare, discounted gym membership Learning and development opportunities to develop your skills, knowledge and talent Employee Volunteer Day's to support the communities where you work and live Cycle to Work Scheme Our culture and values Our people are what makes us different. We work together to create a diverse and inclusive culture that embraces individuality, where people are welcomed and feel comfortable in the knowledge that they can be themselves. Our purpose firmly states the importance of members, putting them 'front and centre' of what we do. This is embedded through our values: Integrity Collaboration ExcellenceUniversities Superannuation Scheme (USS) was established in 1974 as the principal pension scheme for universities and other higher education institutions in the UK. We work with around 330 employers to help build a secure financial future for almost 577,000 members and their families. We are one of the largest private defined benefit pension schemes in the UK, with total assets of around £76.8bn (at 31 March 2025). To find out more, please visitUSSIM is proud to be an equal opportunity employer. We strive to ensure our recruitment process is as flexible and inclusive as possible so we can attract diverse candidates and recruit the best talent. We want all candidates to perform at their best during the recruitment process, so if you need any reasonable adjustments or if there is anything we can do to help support you through your recruitment journey please let us know by contacting .

As a Senior Data Engineer reporting to the Director of Data Science, you'll play a critical role in building and scaling innovative data products that power some of the world's most successful financial organizations - from traditional market data to cutting-edge alternative data sources.You'll thrive in this position if you're curious, data-driven, and collaborative, with a passion for financial technology and a drive to deliver reliable, high-quality solutions in a fast-moving environment.Key ResponsibilitiesDesign, build, and maintain scalable data pipelines - covering ingestion, transformation, enrichment, and delivery of financial and alternative datasets.Partner with Data Science, Product Management, and Engineering teams to develop and launch new data products.Ensure the quality, accuracy, timeliness, and completeness of data products through robust monitoring and quality frameworks.Contribute to the onboarding of new data sources, including exchange data and non-traditional alternative data (e.g., satellite imagery, consumer transactions).Support continuous improvement of existing data products and infrastructure to enhance performance and reliability.Required QualificationsBachelor's degree in Computer Science, Engineering, or a related STEM field, or equivalent practical experience.2-4 years of experience in data engineering, with hands-on proficiency in Python, SQL, PySpark/Spark, Java, and shell scripting.Experience working with cloud and big data platforms such as AWS (S3/EC2) and Databricks in a Linux environment.Solid understanding of version control practices using Git or equivalent tools.Strong communicator with the ability to collaborate effectively across technical and non-technical teams.Preferred QualificationsProven knowledge of financial markets data, including equities pricing, volumes, and fundamentals.Experience building or maintaining financial data products in a production environment.Familiarity Kafka in a data engineering context.This position will be located in Toronto and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.Come as You AreNasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.What We OfferWe're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.The base pay range for this role is $75,000 - $103,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Senior Software Engineer I - Machine Learning Platform Full-time Compensation: GBP 87,500 - GBP 111,000 - yearly Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. For our customers, Wise should feel as simple as sending money from A to B. Behind that simplicity is a complex engine of currencies, routes, products, and features, generating terabytes of data every day. Data Products & Insights helps Wise turn that data into products, insights, and decisions at scale. Within this area, the Machine Learning Platform (MLP) team builds and maintains the infrastructure that enables data scientists across Wise to develop, deploy, serve, and monitor machine learning models at scale. Our platform powers predictions and decisions across the business - from fraud detection to treasury management to product personalisation - directly impacting how Wise serves millions of customers worldwide. Your mission and role will be building and maintaining a cost efficient and scalable machine learning platform, that is a delight to use and that provides a good engineering and data science experience while shortening the full experimentation feedback loop - a data scientist does not just deploy models fast, but learns fast which model is better. Your input will directly affect how Wise is making decisions and predictions on billions of events. We are looking for a Senior Software Engineer to join our team in London and help us evolve from a collection of tools into a coherent, self-service platform. How we work: We are a small, collaborative team that values product thinking, shared ownership, and continuous improvement. We are in the early stages of introducing structured agile practices and treat every process change as an experiment. The MLP team is part of the Data Products & Insights Squad. We own the infrastructure layer that sits between data scientists and production: model serving, training pipelines, model registry and experiment tracking, feature management, and model monitoring on the line. Our customers are internal - Data Scientists and ML engineers across Wise - and our success is measured by how effectively they can build, deploy, and iterate on models without friction. What will you be working on? Building and maintaining core ML platform services including model serving infrastructure, training pipelines, and experiment tracking Contributing to the evolution of our platform from individual service offerings towards a coherent, user-driven product Improving platform scalability, reliability, and operability, ensuring our infrastructure can support hundreds of models in production while making pragmatic trade-offs around cost, complexity, and user needs Improving observability and monitoring across the model lifecycle, helping data scientists understand model health and performance Collaborating with data scientists to understand their workflows, pain points, and needs - treating them as your customers Participating in on-call/support rotation, contributing to platform stability and identifying opportunities to reduce operational toil Helping shape the technical and product roadmap by contributing to discovery, spikes (exploratory/investigative work), and architectural decisions Sharing knowledge across the team, reducing silos, mentoring others, and helping raise engineering standards through design reviews, code reviews, documentation, and continuous improvement What does it take? You care about bringing value and satisfaction to your customers - the developer/user experience of the people who use your platform matters as much as the technical elegance of the solution You think in systems, not just features - you consider how components interact, where complexity lives, and how to reduce it You are comfortable working across the stack - from infrastructure and orchestration to APIs and developer tooling You take ownership of problems end-to-end, from understanding the need through to production and beyond You communicate clearly, build consensus, and enjoy collaborating with people from different disciplines - data scientists, product managers, and fellow engineers You have a growth mindset - curious, experimental, and open to giving and receiving regular feedback You share your ideas, continuously improve yourself and the team around you, and are comfortable working collaboratively in a hybrid environment What do you need? We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. We value potential and enthusiasm as much as existing expertise. So if you have some of those listed below and are eager to learn more we do want to hear from you! Strong engineering background in Python with experience building and maintaining production systems Experience with Kubernetes - deploying, managing, and troubleshooting containerised workloads Familiarity with ML platform tooling such as MLflow, Airflow, or similar orchestration and experiment tracking frameworks Experience with cloud infrastructure (AWS or GCP) including compute, storage, and networking Understanding of distributed systems principles - you know the trade-offs between different architectures and can make pragmatic decisions Experience with observability and monitoring - building dashboards, alerts, and tooling that helps teams understand system health Solid understanding of software engineering best practices - testing, code review, CI/CD, and clean, maintainable code Ability to use AI-assisted development tools responsibly, while validating outputs and retaining ownership of code quality Nice to haves Experience building or contributing to internal developer platforms or self-service tooling Familiarity with ML workflows - training, serving, feature engineering, model monitoring (you don't need to be a data scientist, but understanding the domain helps) Experience with Infrastructure as Code (Terraform, CDK, or similar) Exposure to streaming or batch data processing frameworks (Spark, Flink, Kafka) Interest in platform-as-product thinking - treating adoption, user experience, and feedback loops as first-class concerns What you get back The opportunity to shape a platform that directly enables ML-driven decisions across a global financial product serving millions of customers A team that values autonomy, experimentation, and continuous improvement - where your ideas about how we work matter as much as what we build Real ownership of the systems you work on - from architecture decisions to production operations Exposure to complex, real-world ML infrastructure challenges at scale A collaborative environment where people are grounded, driven, and genuinely enjoy working with others For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wise employee feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Senior Full Stack Engineer, Agentic Security About Dynamo AI Dynamo AI is building the future of trustworthy AI for the enterprise. Our platform provides real-time guardrails, red-teaming, and observability for generative and agentic AI systems-ensuring safe, compliant, and reliable deployments across regulated sectors such as financial services, insurance, healthcare and government. We're backed by leading partners and rapidly expanding with some of the world's most sophisticated enterprises. Our products are in production at some of the largest institutions in the world (including Intel, Lenovo, Experian, and the US Army), actively unlocking AI deployments. We're well recognized and well funded (>$30M raised), with offices in NYC, SF, Bangalore, and a European office planned to open soon. The Agentic Security Team builds the product and infrastructure behind Agent Warden - a security layer for agentic systems that detects risk patterns, enforces guardrails, and gives teams visibility into what their AI agents are actually doing. We ship backend services, frontend dashboards, CLI tools, and the deployment infrastructure that runs them. We work in tight loops with the Applied Research team, turning their insights into production systems. You can see what we're building here . You'll build and own the production systems behind Agent Warden - the backend services, frontend dashboards, CLIs, and deployment infrastructure that make the product work end-to-end. You'll ship features fast, keep things simple, and make the systems reliable enough for enterprise customers to depend on. You can see what we're building here . This is a full stack, backend heavy role with a strong agentic development philosophy. We develop using AI-assisted workflows (Cursor, Claude Code, agent skills) as a first-class part of how we build software - not as an afterthought. You'll be expected to be highly productive in this mode of working. In this role you will: Own end-to-end multiple backend services - APIs, data pipelines, shared libraries, and ML-adjacent packages (Python, FastAPI, NestJS) Build frontend dashboards and UIs with clean DOM rendering, efficient state management, and solid UX principles (React, TypeScript) Design and work with data models and migrations (PostgreSQL), and caching layers (Redis) Contribute to CI/CD and deployment infrastructure (Dockerfiles, Helm charts, GitHub Actions, K8s, AWS) and own release cycles end-to-end - versioning, binary packaging (PyInstaller), and distribution Write and use agent skills, cursor rules, and structured AI-assisted workflows as part of your daily development process Own the quality of what you ship - unit tests, latency tests, performance benchmarks, load tests, and debugging production issues Collaborate closely with the Applied Research team to productionize new capabilities You might thrive in this role if: You have strong full-stack experience - you're comfortable building APIs, writing database queries, and shipping React/Next.js UIs You've built production services with FastAPI or similar frameworks You understand dependency management and packaging - you're comfortable with uv , pyproject.toml , editable installs, and managing dependency graphs across shared libraries You've owned release cycles end-to-end - versioning, changelogs, binary packaging, and distribution You're comfortable with infrastructure: Docker, Kubernetes, Helm, GitHub Actions, AWS. You don't need to be a DevOps engineer, but you can read a Helm chart, debug a failed deploy, and add an environment variable without hand-holding You develop using AI-assisted tools (Cursor, Claude Code, Copilot) and are productive in agentic workflows - writing skills, using structured prompts, and leveraging AI to move faster. No AI slop. You care about code quality, clear abstractions, and keeping things simple. You prefer explicit over clever. You have working knowledge of Git and are comfortable with trunk-based development, rebasing, and clean commit hygiene You're comfortable working in ambiguity - requirements change fast, priorities shift, and you're proactive about figuring things out rather than waiting for direction You communicate clearly and can own a feature end-to-end - from understanding the requirement to deploying it Nice to have: Experience building CLIs with clean argument parsing, help text, and user-friendly error handling Understanding of Model Context Protocol (MCP), have built MCP servers/clients, and understand how LLMs invoke tools and interact with external systems Experience with Redis Streams, event-driven architectures, or real-time data pipelines Experience with ArgoCD, GitOps workflows, or managing multi-environment deployments Interest in AI security - understanding how agentic systems can be exploited and how to defend against it What we offer Competitive salary + equity, so you share in the company's upside Work at the forefront of AI security, helping define a new category Remote-friendly, with a preference for candidates based in Amsterdam, Paris, Poland, New York, or San Francisco Fully funded team retreats every 8 weeks Health insurance allowance for you and your dependents Wellbeing, learning, and home office allowances (to support health, growth, and your setup)

Senior kdb+ Developer - BestXWe are seeking an experienced Senior kdb+ Developer to join the BestX engineering team. In this role, you will design, build, and optimise high performance data platforms using kdb+, supporting BestX's multi asset analytics capabilities.The ideal candidate brings deep expertise in kdb+ tick architectures, large scale performance tuning, and works closely with quantitative and engineering teams to deliver robust, efficient, and maintainable solutions.Key ResponsibilitiesDesign and develop key components of BestX's multi asset analytics platform.Architect, build, and maintain kdb+ tick systems, with strong consideration for data organisation, schema design, and architectural trade offs.Develop and operate systems that process large scale, high frequency datasets, ensuring low latency, high throughput, and efficient memory utilisation.Analyse and optimise q queries, data models, and ingestion pipelines for both real time and historical workloads.Apply modern Agile development practices across cloud based, server side, and database driven systems.Build a strong understanding of Transaction Cost Analysis (TCA) and key regulatory benchmarks required for MiFID and MiFIR.Take full ownership of deliverables, driving work through from design to production.Establish and promote best practices, clean code standards, and sound design patterns.Act as a change agent, continuously improving engineering standards and ways of working.Champion Test Driven Development and "shift left" practices to support effective CI/CD pipelines.Core (Must Have) Skills and Experience5+ years of hands on kdb+ development experience.Strong expertise in kdb+/q and Python.Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit learn, with applied machine learning experience.Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies.Strong background in quantitative analysis, including mathematical modelling, statistics, regression, and probability theory.Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related STEM discipline from a top ranked university.Hands on experience with AWS and/or other modern cloud based infrastructure.Nice to Have SkillsDomain knowledge in FX, Fixed Income, Equities, or Equity Derivatives.Additional expertise with kdb+ in complex, production scale environments.Exposure to modern JavaScript build toolchains, including Node.js, npm, Rush, Yarn, Webpack, Babel, and Cypress.About State Street & BestXState Street is a global financial services leader, combining scale, resilience, and advanced technology to support institutional investors worldwide. Through investment servicing, trading, data, and analytics, we build mission critical platforms that operate at the heart of global financial markets.BestX, part of State Street's Global Markets and GlobalLink ecosystem, is the industry standard, multi asset Transaction Cost Analysis (TCA) platform. Built as a high performance analytics platform, BestX processes over one billion market data updates per day, delivering independent, venue agnostic insights across FX, fixed income, and equities.BestX has been recognised globally for its technology and impact, including:World's Best Provider of TCA Solutions - Euromoney Markets Awards 2025Best Transaction Cost Analysis Solution - WatersTechnology Asia Awards 2025World's Best New FX Product/Platform for BestXecutor - Euromoney 2025BestX and BestXecutor embed advanced analytics directly into trading workflows, spanning pre trade decisioning through post trade validation, helping clients improve execution quality and meet evolving regulatory requirements at scale.At State Street, you'll work on complex, high performance systems alongside leading engineers, quants, and product teams-shaping the future of execution analytics and global market infrastructure in an inclusive, supportive environmentAbout State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.Discover more information on jobs at our CEO Statement

Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Development of advanced machine learning models to address complex operational challenges. Evaluating and communicating the impact brought by proposed solutions. Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes. Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions. Analyze large datasets to extract actionable insights and support data-driven decision-making at a strategic level. Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability. Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations. Mentor and guide junior team members, fostering a culture of innovation and continuous learning. Required Qualifications, Capabilities, And Skills Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML. Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms. Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing. Extensive experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI). Experience with integrating user feedback to establish self improving AI applications. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS). Excellent problem solving skills and the ability to work independently and collaboratively. Strong communication skills to effectively convey complex technical concepts to non technical stakeholders. Preferred Qualifications, Capabilities, And Skills A Ph.D. is a plus but not required. Experience in software engineering practices. Experience in developing AI solutions using agentic frameworks. Experience fine tuning LLMs with advanced techniques. Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering. Demonstrated ability to design and implement AI application architecture. Significant experience in bringing AI applications to production with a focus on strategic impact and innovation.

Company Overview VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award winning work for blue chip client partners including AstraZeneca, Colgate Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca Cola Company, and Wendy's. The agency is recognized by the Forrester Wave Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML's specialist health network, VML Health, is one of the world's largest and most awarded health agencies. VML's global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, Sao Paulo, Shanghai, Singapore, and Sydney. About WPP WPP is the trusted growth partner for the world's leading brands. We unite cutting edge media intelligence and data solutions, world class creativity, next generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit Job Overview We are seeking a highly capable Senior Business Intelligence Engineer to lead the delivery of business critical analytics used by hundreds of stakeholders globally across a large listed organisation. This role is responsible for architecting scalable, resilient, and modern data solutions across fragmented and complex source systems, while delivering high quality analytics, reporting, and insight capabilities that support strategic decision making across the business. The position sits within the Business Operations & Transformation team, where data and analytics are viewed as a key strategic enabler for driving operational alignment, commercial focus, and organisational transformation. Key Responsibilities Architect and oversee scalable end to end data pipelines across fragmented and heterogeneous source systems. Design and implement robust ETL/ELT frameworks and modern lakehouse architectures. Build and maintain enterprise grade data platforms, including ingestion pipelines, data warehousing, semantic models, and reporting layers. Deliver high quality analytics, dashboards, and self service reporting solutions using Power BI and Microsoft Fabric. Enable advanced analytics, automation, and data transformation using Python and SQL. Partner closely with Finance, Commercial, Operations, Business Development, and Enterprise Technology teams. Act as a trusted advisor to senior leadership, translating strategic business priorities into data and analytics solutions. Provide insightful analysis, recommendations, and performance reporting to support optimisation and decision making. Develop and govern additional data collection practices to improve data availability and accessibility. Implement and maintain Row Level Security (RLS) and data access controls across enterprise reporting and analytics solutions. Establish and promote governance, standards, and best practices for data quality, security and analytics delivery. Develop reusable semantic models. Support both strategic initiatives and ad hoc analytical deep dives across operational and financial datasets. Drive adoption of data driven decision making across the organisation. Build strong relationships with technical and non technical stakeholders across a matrix organisation. Contribute to the ongoing evolution of the organisation's BI and data strategy. Essential Experience Strong understanding of the modern data stack, including data modelling, warehousing, and large scale ETL/ELT pipeline development. Proven experience architecting and managing complex enterprise data pipelines across fragmented systems. Strong understanding of modern cloud data architecture principles, including lakehouse and medallion architectures. Experience developing enterprise dashboards and self service analytics capabilities. Strong business analysis skills with the ability to translate operational and financial challenges into technical and analytical solutions. Comfortable analysing and interpreting financial, commercial, and operational datasets. Experience operating within complex, matrixed, and transformation focused organisations. Excellent stakeholder management, communication, and presentation skills. Comfortable balancing hands on technical delivery with leadership responsibilities. Technical Skills Databricks Microsoft Fabric Power BI SQL Python Desirable Experience Experience with ERP platforms such as Workday, Dynamics, Maconomy and SAP. Understanding of Azure cloud services and broader cloud ecosystem architecture. Experience implementing data governance, master data management, and compliance frameworks. Relevant cloud, analytics, or data platform certifications. Data collection design. Personal Attributes Collaborative, influential, and delivery focused. Comfortable operating in ambiguity and complex organisational environments. Strong attention to detail and commitment to data quality. Able to communicate effectively with both technical and non technical audiences. Naturally curious with a continuous improvement mindset. Passionate about leveraging data to drive business performance and transformation. Schedule and Work Environment We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Equal Opportunity Statement WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, we run hundreds of A/B tests at any given time, each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem, with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting, high impact environment where data engineering plays a crucial role in shaping our business decisions. We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimise experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimise our analytics stack to empower decision making across the company. Why You'll Love This Role Cutting edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices. End to End impact: own and evolve the entire data pipeline, from ingestion to transformation and modelling, ensuring accuracy, scalability, and performance. Cross team collaboration: partner with data scientists, analysts, and engineers to create high quality, actionable datasets for business insights. Continuous learning & growth: be part of a data driven culture where innovation, best practices, and ownership drive success. What you will be doing Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability. Develop and optimise sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi terabyte data ecosystem. Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self service analytics. Provide technical leadership in collaboration with data science teams to optimise analytical workflows, reduce redundancy, and enforce robust data governance. Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring. Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision making. Strategically influence and drive company wide data strategies supporting rapid product growth, sophisticated experimentation, and large scale personalisation initiatives. What you need to succeed 5+ years of hands on experience in analytics engineering, data engineering, or related fields. Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimising data models. Deep understanding of advanced data governance frameworks, modelling best practices, and implementation of scalable self service analytics platforms. Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics. Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact. Strategic mindset, high creativity, and an initiative driven approach to developing and evaluating cutting edge solutions. Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders. Nice to have Experience leading and scaling data infrastructure within rapidly growing startups. Advanced hands on expertise with DBT, Looker, or Airflow. Proven experience in defining and standardising event taxonomies and KPIs within medium to large organisations. Strong experience in AWS or Google Cloud data ecosystems. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilise our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritise collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

Description 6-month Intern - Digital & Technology Services (London) About Alvarez & Marsal Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work-guided by A'M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity-are why our people love working at A&M. The Team This is a fantastic opportunity for you to join a 'hands on' team. You will contribute to work streams on large programs but also smaller projects, leveraging your Digital & Technology knowhow and skill set in challenging the status quo and developing sound solutions either from an external point of view or in collaborative settings with your client organization. Alongside our broader European DTS team colleagues, we define and deliver innovative strategic programs - aligning each digital/AI initiative to a specific company goal- getting the client from where the company is today to where it wants to be in the future. Through our DTS practice, A&M partners with clients to design, build, and scale digitally enabled and AI driven business models, spanning agile target operating models, digital products, and intelligent, automated back offices. We combine capabilities across digital product management, AI and advanced analytics, cloud-enabled platforms, customer experience (CX) design, and self-service technologies to deliver measurable impact. How you will contribute The successful candidate will : Join a growing team with strong leadership, bright, energetic people with a truly entrepreneurial spirit. Gain experience in large multi-sector, scale transformation. Main Tasks Will Include Support our Digital & Technology Team in London as they serve our clients in Corporates (i.e., brands), Private Equity firms and Financial Institutions. Assisting on synthesising information after research and analysis into high quality client reports and recommendations. Utilising Excel, PowerPoint, Power Bi, Tableau and other data related applications to assist in creating client deliverables. Supporting Managing Directors and other senior members of the team with client pitch production. Qualifications This role is intended for graduates and requires a minimum undergraduate degree, preferably in AI, Computer/Data Science, IT, Business, Engineering, or an equivalent field. Excellent analytical and problem-solving skills Excellent verbal and written communication skills Ability to prioritise - especially in highly pressured situations Some Excel modelling skills, Power Bi, Tableau, Python, and experience with AI tools would be advantageous Fluent business level English. Additional European language skills including French, German, Spanish or Italian are highly desirable Right to work in the UK Available from the 15th of June 2026 for 6 months full time Strong interest in a career within Digital & Technological Services Your journey at A&M We recognise that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top notch training and on the job learning opportunities, you can acquire new skills and advance your career. We prioritise your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high performing and passionate professionals.

Senior Software Engineer - Client Compliance Eligibility Location London Business Area Engineering and CTO Ref # Description & Requirements Who we are: Bloomberg is the market leader in business and financial information; delivering trusted data, news, and analytics with speed and accuracy. At the heart of global markets, Bloomberg powers trading across asset classes and geographies. Our technology connects data, analytics, and execution into a seamless ecosystem-enabling market participants to act with speed, precision, and insight. Behind every trade is a critical layer of technology that ensures it happens securely, compliantly, and with the right counterparties. Bloomberg's client compliance and eligibility platforms embed regulatory intelligence, real-time controls, and scalable validation frameworks directly into the trading workflow. Our compliance platform is where engineering meets market integrity-building resilient systems that safeguard global trading, enable trust at scale, and shape the future of responsible finance. Our Team: Client Eligibility team is part of wider Compliance Engineering group - a cross-functional organisation focused on supporting Bloomberg's Compliance initiatives and in particular Client Compliance applications. Our mission is to build a resilient and intelligent compliance platform that manages client eligibility, streamlines and automates complex workflows, and integrates seamlessly across Bloomberg systems to reduce risk and accelerate client access. To achieve this we build and support: Distributed Client Permissioning system processing millions of daily requests for client trading eligibility on Bloomberg operated trading systems and venues. Rule based product requirements system where complex eligibility rules are defined and enforced. Manage client due diligence process with full audit capabilities. What's in it for you: Hands on experience working on large scale distributed systems and complex workflows. Autonomy to design, build and deliver software solutions. Work with high caliber and experienced teams of engineers and management. Be challenged to come up with innovative solutions. Access to a wide variety of AI tools to augment your everyday working. Be supported in your career growth with a wide variety of training and opportunities. We will trust you to: Work closely with the full spectrum of our business partners to understand and solve the problems they have. Make data driven decisions about technology, architecture and platform you own. Write high quality code that integrates with our automated tested and release pipeline. Collaborate with other engineers across multiple functional areas. You'll need to have: No prior regulatory experience. BS, MS, or PhD in Computer Science, Engineering or related technology field or relevant boot camp experience. 5+ Years of Experience designing, developing, and releasing high quality software in Python or other object oriented languages. Experience with relational databases (PostgreSQL, MySQL etc). Relentless curiosity to learn and understand software and business. We'd love to see: Prior work with Microservices / Distributed architecture / complex workflows JavaScript/TypeScript experience. Experience with virtualization, containerization and orchestration tools (e.g. Openstack, Docker, Kubernetes). Experience with continuous integration, testing and deployment tools (e.g. Github, GitLab, Jenkins etc.). Our Culture: We're proud of our culture and collaboration sits at the centre of how we operate, you'll collaborate across teams and locations on a global scale, both virtually and in person. Engineers at Bloomberg actively shape the direction of our technology and products, helping drive innovation. The London office is a key technology hub along with the US head office. You will have the opportunity to be part of our global conference and initiatives often hosted in the London office. We employ a hybrid work model, which gives our engineers flexibility but also allows us to collaborate across teams. We're big advocates of getting together and sharing ideas, we hold regular internal and external tech, social and philanthropic events to strengthen our relationships with the local community. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. Senior Network Engineer Role Summary As a Senior Network Engineer, you will design, implement, and operate a large-scale Cisco-based global enterprise network across campus, WAN, SD-WAN, wireless, and cloud environments. You'll lead complex initiatives, ensure production stability, and drive continuous improvement aligned with global architecture standards.This senior-level role requires strong technical depth, sound judgment, and operational ownership. You will mentor engineers, collaborate cross-functionally, and partner with Staff/Principal engineers to evolve the network.This role is remote within the UK and supports a globally distributed environment. Strong professional English is required for daily collaboration across North America, EMEA, and APAC. Key Responsibilities WAN, Routing, Switching & Wireless Design and operate Cisco SD-WAN architectures (control/data/management planes) Implement segmentation (VPNs/VRFs), application-aware routing, and DIA strategies Lead WAN-to-SD-WAN migrations Design, implement, and troubleshoot: + BGP (eBGP/iBGP): redistribution, filtering, route-maps, path selection + OSPF: multi-area, summarization, LSA optimization + EIGRP (legacy environments) Implement high availability: HSRP/VRRP, ECMP, IP SLA, WAN failover Design and operate Cisco Catalyst 9800 WLCs Optimize RF, RRM, and roaming performance; troubleshoot high-density environments Implement secure wireless (ISE, 802.1X) and support site surveys Campus & Switching Design and operate Cisco Catalyst 9000 (9300/9400/9500) Implement L2/L3 features: VLAN/SVI, LACP, Rapid-PVST/MST, storm control Perform deep packet-path analysis across network layers Automation, Observability & Cloud (AWS) Develop automation using Ansible and/or Python Integrate with Cisco APIs (RESTCONF, NETCONF, SD-WAN APIs) Use Catalyst Center (DNAC) for provisioning and assurance Leverage telemetry (NetFlow, SNMP, streaming) for visibility Partner with Cloud Engineering on hybrid AWS connectivity Design HA routing between on-prem, SD-WAN, and AWS (BGP, failover) Support WAN transformation and cloud integration initiatives Correlate data across platforms to identify systemic issues Use SD-WAN, Catalyst Center, and firewall analytics for proactive monitoring Validate AI-driven insights using packet-level analysis Reduce MTTD/MTTR via telemetry and intelligent monitoring Drive adoption of AIOps and improve alerting/observability standards Automate repetitive operational tasks aligned with DevOps workflows Security, Identity & Access Operate Cisco Firepower NGFW (FMC-managed) Troubleshoot ACLs, NAT, IPS, VPNs, and HA configurations Analyze packet captures for routing/policy issues Design and support 802.1X (wired/wireless) with Cisco ISE: + Policy sets, profiling, TACACS+, dynamic VLANs Partner with Security teams on Zero Trust enforcement Collaboration & Operations Work across global teams and time zones Participate in design, incident, and operational reviews Maintain accurate documentation Participate in on-call rotations Demonstrate ownership, accountability, and continuous learning Required Qualifications 6-8 years enterprise network engineering experience CCNP certification (required) Advanced Cisco networking expertise Strong BGP and OSPF design/troubleshooting skills Proven Cisco SD-WAN experience Hands-on with: + Cisco Catalyst 9000 + Cisco Catalyst 9800 WLC + Cisco Firepower NGFW + Cisco ISE (802.1X) High-availability network design experience Experience with AWS and/or Azure connectivity Strong production troubleshooting skills Automation experience ( Ansible or Python required ) Experience in global/multi-region environments Professional English proficiency ITIL (Incident & Change Management) experience ServiceNow experience Preferred Qualifications & Competencies CCNP Enterprise Automation (ENAUTO 300-425) Experience in 24/7 global support environments Strong problem-solving and ownership mindset Clear written and verbal communication Openness to feedback and continuous improvementIf a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud(TM) is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Join our Talent Community.Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud(TM) is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

Wellington Management is a leading investment management firm that provides comprehensive technology solutions to institutional clients worldwide. Senior Software Engineer - Research Technology Job Family: Software Engineering Location: London Job Overview Join our Research Technology team within Investment Technology as a Senior Software Engineer. You will collaborate closely with developers, business analysts, and QA engineers to design, develop, test, implement, and support solutions that meet business needs, and you will work with the Investment Platform team to build world class research and collaboration capabilities. Responsibilities Contribute to the delivery of high quality investment research solutions, including architecture, design, implementation, testing, deployment, and support. Work with business teams, engineers, and business analysts to review and qualify business requirements, functional specifications, use cases, and test plans. Design new prototypes and develop software components across the full stack - services, web and mobile clients, infrastructure, and back end. Coordinate and facilitate infrastructure upgrades, disaster recovery testing, and cross functional projects with various IT teams. Modify and enhance existing systems to incorporate new functionality and optimize performance and maintainability. Provide technical guidance across initiatives to ensure the use of latest methods and high standards. Implement AI driven solutions to enhance workflows and optimize productivity. Author architecture, technical design, and support documentation and ensure adherence to established code quality standards. Ensure production system stability by implementing observability, data quality, and alerting tools, and by providing hands on support during on call rotations. Qualifications 7+ years of experience designing and developing web applications and services using JavaScript or other relevant enterprise technologies such as Java or .NET. 7+ years of experience designing and developing complex web services using REST, TypeScript, JavaScript/NodeJS, Jest, Java, Python, or related technologies. 5+ years of experience designing and developing web applications using HTML5, CSS, and modern UI frameworks such as React or Angular. Experience with modern software development and testing methodologies such as Artifactory, GIT, and Jenkins CI. Experience developing applications with AWS cloud technologies. Intermediate level experience with SQL. Experience with Agile and other software development methodologies. Familiarity with leveraging AI in SDLC. Excellent written and verbal communication skills; ability to communicate effectively with a non technical audience. Ability to manage conflicting priorities and understand complex concepts. Willingness to work independently and in an energetic, fast paced, team oriented environment. BS or BA degree in computer science, math, physics, statistics, or a related field. Experience in a relevant financial domain is a plus. Equal Opportunity Employer Wellington Management is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply, please email us at .

At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast-growing unicorn with over $300 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. (Senior) Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we're looking for a brilliant (Senior) Machine Learning Engineer to join us on our mission to fight for the world's financial health. You'll be leading technical work within a team of adaptable, creative and product-focused engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them. Training and fine-tuning models to solve customer problems. Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog:Let's have an Espresso: MLOps at Cleo . Or integrate with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others. Working cross-functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users' financial health. Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Mentoring & advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs. Here are some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Developed deeper understanding of users finances through models extracting meaning from transactional data. Think about your bank statement, how often do you not know what a transaction is? Developed contextual intent classifiers to understand what conversations users are having with Cleo, enabling control of how Cleo should respond Building ML models to understand the actions that users have available to them in Cleo and provide those contextually in conversations Built ML models to understand the risk of customers using bank transaction features and user activity Built models to optimise the payment success for our customers and optimising the costs for the business. Think of this as a two-sided optimisation problem. Whatever problem you tackle, and whichever team you join, your work will directly impact those most in need, helping to improve their financial health. What You'll Need Excellent knowledge of both Data Science (python, SQL) and production tools A deep understanding of probability and statistics fundamentals Big picture thinking to correctly diagnose problems and productionising research Top tier communication skills, to be able to partner with Product and Commercial Leaders Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects Nice to have Strong experience with additional programming languages, such as Java, Scala, C++ Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects What do you get for all your hard work? A competitive compensation package (base + equity) with 3-annual reviews, aligned to our termly OKR planning cycles. Mid-level: London, UK Hybrid: £74,266 - £91,000 gross annually UK Remote: £69,699 - £85,000 gross annually Senior- level: London, UK Hybrid: £94,059 - £115,000 gross annually UK Remote: £88,938 - £109,000 gross annually Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Company-wide performance reviews every 4 months Generous pay increases for high-performing team members Equity top-ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer-matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme And many more! Final compensation will be determined based on the candidate's seniority, qualifications, skills, and previous experience We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The DMP team plays a critical role in Roku's Advertising organization, leading initiatives around audience management that power decision making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high impact solutions. Looking ahead, we are exploring AI driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. About the Role We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large scale data processing. In this role, you will collaborate with cross functional teams to architect and manage robust, production grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high performance solutions. The ideal candidate is a proactive, self motivated professional with a strong track record in building high scale data services and a dedication to delivering exceptional results. What You'll Be Doing Software Development Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. Develop and fine tune complex queries using Apache Spark for large scale datasets. Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. API and Platform Development Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes. Maintain NoSQL Infrastructure including ScyllaDB and Aerospike. Collaboration & Mentorship Partner with the machine learning team, software engineers, and other teams to deliver integrated, high quality solutions. Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. We're Excited If You Have 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. Expertise with at least one of the following: ScyllaDB and Aerospike (preferred). Strong understanding of SOLID principles and distributed systems architecture. Proven experience in distributed data processing, data warehousing, and real time data pipelines. Advanced SQL skills, with expertise in query optimization for large datasets. Exceptional problem solving abilities and the capacity to work independently or collaboratively. Excellent verbal and written communication skills. Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes (preferred). Experience in AdTech, in advertising data platforms and audience management (preferred). Strong programming skills in Python, Java, and/or Scala (preferred). Knowledge of CI/CD pipelines, DevOps practices, and infrastructure as code tools (e.g., Jenkins & Terraform) (preferred). Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision making and enhance analytics workflows (preferred). Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Director of Data As a strategic member of the Technology Leadership team, the Director of Data will report to the CTO and lead Foods Connected's transition from a data capture platform to a data insights company. This is an influence-led role: while you will manage a small specialist team, your primary impact will come from embedding data-driven thinking across the entire organisation. You will own the enterprise data strategy, working closely with Engineering, Product, Professional Services, Finance, and Operations to ensure data powers decision-making at every level. You will set technical direction for our data architecture built on Microsoft Fabric, while serving as the data champion who helps department heads unlock value from our platform. This role suits a strategic leader with strong technical credibility who thrives on influence rather than empire-building. You will shape how Foods Connected and our customers think about supply chain data, not build a large team. Responsibilities Strategic Data Leadership - 35% Define and execute the enterprise data strategy aligned with Foods Connected's product roadmap and commercial objectives Partner with the CTO and executive leadership to position data insights as a core differentiator in our market Establish data governance frameworks, policies, and standards appropriate for a PE-backed business preparing for growth Build business cases and ROI models for data infrastructure investments Represent data capabilities in product strategy discussions, helping shape our evolution toward data insights products Define and monitor data quality, accessibility, and utilisation metrics across the business Cross-Functional Enablement - 30% Build trusted advisor relationships with heads of Professional Services, Finance, HR, Sales, and Operations to understand their data challenges and deliver solutions Lead development of self-service analytics capabilities that empower non-technical users across the business Partner with Finance on financial reporting, forecasting models, and business performance analytics Support Professional Services with customer success metrics, utilisation reporting, and service delivery insights Deliver executive dashboards providing visibility into key business metrics and trends Drive enterprise data literacy, promoting a data-driven culture across all functions Translate complex data insights into actionable recommendations for stakeholders at all levels Technical Direction - 20% Set technical direction for data architecture on Microsoft Fabric, guiding technology choices for product and business intelligence needs Provide architectural oversight for data pipelines, warehousing solutions, and analytics platforms without necessarily being hands on day to day Ensure compliance with data privacy regulations (GDPR) and food industry requirements Champion adoption of modern data practices including real time analytics and ML ready data infrastructure Work closely with the Data Architect to evolve our data systems and address infrastructure gaps Enable advanced analytics and AI/ML capabilities that serve both customer-facing features and internal intelligence People Leadership - 15% Directly manage the Data Architect and Senior Data Engineer; provide leadership to the BI Reporting team Foster a culture of technical excellence, innovation, and continuous learning within a small, high impact team Conduct performance reviews, provide coaching, and create clear career development paths Recruit selectively to build capability as needs evolve, without growing headcount for its own sake Ensure the team understands how their work contributes to Foods Connected's commercial success Experience and Qualifications Minimum Qualifications Significant experience in a senior data leadership role within a SaaS or product-driven B2B environment Proven track record of developing and executing data strategies that deliver measurable business outcomes Demonstrated ability to influence and enable data-driven decision making across multiple business functions Experience working in PE backed or growth stage companies with mature governance expectations People management experience, with evidence of developing individuals rather than just scaling headcount The Director of Data should have sufficient technical depth to guide architecture decisions and constructively challenge the team. Hands on expertise is not required across all areas, but credibility and understanding is essential. Required Strong SQL and data modelling expertise Experience with modern cloud data platforms, preferably Microsoft Fabric, Azure Synapse, or similar lakehouse architectures Familiarity with Power BI or equivalent BI/visualisation tools Understanding of data pipeline design, ETL/ELT patterns, and orchestration approaches Knowledge of data governance, quality frameworks, and metadata management Beneficial Experience with Python for data engineering or analytics Exposure to ML/AI implementation in production environments Understanding of real-time data processing and event-driven architectures Background in supply chain, food manufacturing, or quality management domains Benefits Competitive Base Salary Generous Holiday Package - 25 Days + 10 Public Holidays Private Medical, Dental & Vision Employee Wellness Program and Classes Flexible model of hybrid working