Senior Data Scientist IIApplylocations: Farringdontime type: Full timeposted on: Posted 18 Days Agojob requisition id: R112250 Are you ready to take your data science expertise to the next level and lead impactful projects? Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions? About our team: We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering-everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate.We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference.If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. About the role: We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations.In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication.This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact. Responsibilities: Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring. Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. Ensure data quality, observability, lineage, and documentation across data and ML pipelines. Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows. Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations. Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. Requirements: Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
14/05/2026
Full time
Senior Data Scientist IIApplylocations: Farringdontime type: Full timeposted on: Posted 18 Days Agojob requisition id: R112250 Are you ready to take your data science expertise to the next level and lead impactful projects? Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions? About our team: We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering-everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate.We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference.If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. About the role: We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations.In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication.This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact. Responsibilities: Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring. Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. Ensure data quality, observability, lineage, and documentation across data and ML pipelines. Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows. Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations. Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. Requirements: Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Senior Data Scientist IIApplylocations: Farringdontime type: Full timeposted on: Posted 9 Days Agojob requisition id: R112250 Are you ready to take your data science expertise to the next level and lead impactful projects? Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions? About our team: We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering-everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate.We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference.If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. About the role: We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations.In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication.This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact. Responsibilities: Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring. Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. Ensure data quality, observability, lineage, and documentation across data and ML pipelines. Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows. Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations. Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. Requirements: Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
13/05/2026
Full time
Senior Data Scientist IIApplylocations: Farringdontime type: Full timeposted on: Posted 9 Days Agojob requisition id: R112250 Are you ready to take your data science expertise to the next level and lead impactful projects? Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions? About our team: We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering-everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate.We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference.If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. About the role: We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations.In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication.This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact. Responsibilities: Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring. Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. Ensure data quality, observability, lineage, and documentation across data and ML pipelines. Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows. Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations. Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. Requirements: Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands on delivery leadership - and who has a genuine passion for bringing AI solutions to production at scale. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. Key responsibilities span the following areas. Engagement Leadership Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes. Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development. Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners. Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout. Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation. Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead. Business Development & Bid Support Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements. Contribute to proposal writing, articulating Baringa's capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs. Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow on engagement. Support practice level growth initiatives, including account planning, capability development, and go to market positioning for AI and solutions engineering services. Technical Architecture & Delivery Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities. Provide hands on technical direction where required - reviewing designs, code and delivery artefacts to maintain quality standards across the engagement. Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof of concept thinking to real business impact at scale. Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record. AI/ML Specialism You will bring expert level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End to end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit learn, PyTorch, XGBoost) and cloud native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud native application patterns and release practices. Software Engineering Production grade Python services (FastAPI, AWS Lambda, event driven patterns) and front end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade offs - relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role - including direct accountability for end to end engagement delivery, resourcing and commercial outcomes. Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs. SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud, data and AI domains. Proven ability to build and lead high performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level. Clear, confident communicator - able to make the complex accessible for technical and non technical audiences alike, and to represent Baringa's expertise with credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Desirable: prior experience as a forward deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people first culture that values both technical rigour and human connection we would love to hear from you. All applications received will be reviewed by a member of our Talent Acquisition team . click apply for full job details
11/05/2026
Full time
London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands on delivery leadership - and who has a genuine passion for bringing AI solutions to production at scale. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. Key responsibilities span the following areas. Engagement Leadership Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes. Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development. Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners. Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout. Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation. Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead. Business Development & Bid Support Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements. Contribute to proposal writing, articulating Baringa's capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs. Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow on engagement. Support practice level growth initiatives, including account planning, capability development, and go to market positioning for AI and solutions engineering services. Technical Architecture & Delivery Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities. Provide hands on technical direction where required - reviewing designs, code and delivery artefacts to maintain quality standards across the engagement. Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof of concept thinking to real business impact at scale. Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record. AI/ML Specialism You will bring expert level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End to end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit learn, PyTorch, XGBoost) and cloud native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud native application patterns and release practices. Software Engineering Production grade Python services (FastAPI, AWS Lambda, event driven patterns) and front end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade offs - relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role - including direct accountability for end to end engagement delivery, resourcing and commercial outcomes. Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs. SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud, data and AI domains. Proven ability to build and lead high performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level. Clear, confident communicator - able to make the complex accessible for technical and non technical audiences alike, and to represent Baringa's expertise with credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Desirable: prior experience as a forward deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people first culture that values both technical rigour and human connection we would love to hear from you. All applications received will be reviewed by a member of our Talent Acquisition team . click apply for full job details
We're the Moonpig Group - home to Moonpig, Greetz, Red Letter Days and Buyagift - and we're on a mission to make people feel loved, celebrated and remembered. Whether it's a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles. We're proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter - packed with personal touches and delivered with care. We're not just about selling cards or gifts - we're here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we've built a place where people (and ideas) can truly thrive. We're looking for a Head of Machine Learning & AI to define and lead how machine learning drives customer experience and commercial outcomes across Moonpig's Cards business. This role sits within our Product, Data & Technology (PDT) team and focuses on building and scaling applied production machine learning systems. From recommendations and ranking to search and personalisation, your work will directly shape how millions of customers experience Moonpig. You'll lead a team of machine learning specialists, owning the performance, quality and lifecycle of models in production. Alongside this, you'll guide how we apply modern AI technologies, including generative AI and LLMs, in practical, high-impact ways across our products. As part of the wider PDT leadership team, you'll influence roadmap decisions, shape investment priorities, and act as the senior voice for ML and AI across the Cards business. Key Responsibilities Define the vision and direction for machine learning and AI across the Cards business, identifying opportunities to improve customer experience and commercial performance Lead the performance and evolution of core ML systems including recommendations, ranking, search and personalisation Own model quality and lifecycle management, including evaluation, monitoring, retraining and long-term maintainability Drive the development of AI-powered product features, including LLM-based and generative experiences Partner with Product Management to shape the ML roadmap and prioritise high-impact initiatives Set technical direction across modelling approaches, feature design and evaluation frameworks Work closely with Engineering and MLOps teams to ensure ML systems are production-ready, scalable and well-supported Act as the central ML authority within PDT, aligning teams around best practices and shared approaches Lead, coach and grow a team of machine learning specialists, including managers and senior individual contributors Influence senior stakeholders, guiding decisions and representing ML and AI in leadership forums About you Proven experience leading machine learning or applied science teams with accountability for business impact, ideally across B2C ecommerce environments. Strong expertise in building and evaluating production ML systems such as recommendations, ranking, search or personalisation Commercial mindset with experience owning ML systems that drive measurable outcomes like conversion, engagement or revenue Ability to set technical direction and guide decisions across a broad and complex ML landscape Experience with, or strong interest in, modern AI approaches such as LLMs and generative AI Strong communication skills with the ability to translate technical concepts into business value Experience working cross-functionally with Product, Engineering and platform teams such as MLOps Track record of influencing senior stakeholders and driving alignment across teams What's in it for you Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts. Wellbeing First: Private healthcare (UK), mental health support & dog-friendly offices (London & NL). Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working. Career Growth: Learning allowances, coaching & development programs. Explore our full benefits package. Our Ways of Working We trust our colleagues to do what's right and offer flexibility to support a balance between work and life. At the same time, face to face office time is an important and expected part of working at Moonpig Group. We believe regular in person working supports collaboration, alignment, and effective decision making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process. Moonpig Group's Commitment to Equality, Diversity, and Inclusivity At Moonpig Group, we're all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that's our background, how we work best, or what matters most to us. From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we're here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we. We're proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place. We know that diversity fuels creativity, innovation and connection, and that's why we'll keep pushing for progress. Together, we're building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves. If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so. If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.
11/05/2026
Full time
We're the Moonpig Group - home to Moonpig, Greetz, Red Letter Days and Buyagift - and we're on a mission to make people feel loved, celebrated and remembered. Whether it's a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles. We're proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter - packed with personal touches and delivered with care. We're not just about selling cards or gifts - we're here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we've built a place where people (and ideas) can truly thrive. We're looking for a Head of Machine Learning & AI to define and lead how machine learning drives customer experience and commercial outcomes across Moonpig's Cards business. This role sits within our Product, Data & Technology (PDT) team and focuses on building and scaling applied production machine learning systems. From recommendations and ranking to search and personalisation, your work will directly shape how millions of customers experience Moonpig. You'll lead a team of machine learning specialists, owning the performance, quality and lifecycle of models in production. Alongside this, you'll guide how we apply modern AI technologies, including generative AI and LLMs, in practical, high-impact ways across our products. As part of the wider PDT leadership team, you'll influence roadmap decisions, shape investment priorities, and act as the senior voice for ML and AI across the Cards business. Key Responsibilities Define the vision and direction for machine learning and AI across the Cards business, identifying opportunities to improve customer experience and commercial performance Lead the performance and evolution of core ML systems including recommendations, ranking, search and personalisation Own model quality and lifecycle management, including evaluation, monitoring, retraining and long-term maintainability Drive the development of AI-powered product features, including LLM-based and generative experiences Partner with Product Management to shape the ML roadmap and prioritise high-impact initiatives Set technical direction across modelling approaches, feature design and evaluation frameworks Work closely with Engineering and MLOps teams to ensure ML systems are production-ready, scalable and well-supported Act as the central ML authority within PDT, aligning teams around best practices and shared approaches Lead, coach and grow a team of machine learning specialists, including managers and senior individual contributors Influence senior stakeholders, guiding decisions and representing ML and AI in leadership forums About you Proven experience leading machine learning or applied science teams with accountability for business impact, ideally across B2C ecommerce environments. Strong expertise in building and evaluating production ML systems such as recommendations, ranking, search or personalisation Commercial mindset with experience owning ML systems that drive measurable outcomes like conversion, engagement or revenue Ability to set technical direction and guide decisions across a broad and complex ML landscape Experience with, or strong interest in, modern AI approaches such as LLMs and generative AI Strong communication skills with the ability to translate technical concepts into business value Experience working cross-functionally with Product, Engineering and platform teams such as MLOps Track record of influencing senior stakeholders and driving alignment across teams What's in it for you Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts. Wellbeing First: Private healthcare (UK), mental health support & dog-friendly offices (London & NL). Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working. Career Growth: Learning allowances, coaching & development programs. Explore our full benefits package. Our Ways of Working We trust our colleagues to do what's right and offer flexibility to support a balance between work and life. At the same time, face to face office time is an important and expected part of working at Moonpig Group. We believe regular in person working supports collaboration, alignment, and effective decision making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process. Moonpig Group's Commitment to Equality, Diversity, and Inclusivity At Moonpig Group, we're all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that's our background, how we work best, or what matters most to us. From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we're here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we. We're proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place. We know that diversity fuels creativity, innovation and connection, and that's why we'll keep pushing for progress. Together, we're building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves. If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so. If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.
Step into the role of Lead Data Analyst at Barclays and play a pivotal part in shaping data-driven solutions across our banking platforms. In this role, you will bridge business needs and technical delivery, ensuring requirements are clearly defined, prioritized, and translated into high-quality solutions within an agile environment. A strong understanding of banking domains-such as Core Banking, Onboarding, Payments, FX, Liquidity, and Cash Management-is essential. Experience working within or understanding data mesh concepts and "data as a product" principles will enable you to effectively collaborate across distributed data teams. Desirably, you bring exposure to broader banking product stacks, including payments processing, core banking systems, ETL and reporting flows, and integrations using middleware technologies such as Kafka, MQ, or file-based patterns. Technical awareness is key, including proficiency in SQL, data interpretation, understanding of data models and system interfaces, and the ability to support defect triage and test cycles. To be successful as a Lead Data Analyst, you should have: Strong Requirements Engineering & Agile Analysis: Eliciting, validating and documenting BRDs/FRDs/user stories, Backlog refinement, feature mapping, supporting testing, Working within Agile frameworks Domain Expertise in any banking stack: Core Banking, Onboarding, Payments, FX, Liquidity and Cash Management etc. Having worked in a data mesh world or understanding concepts around data as a product. Agile Ceremonies & SAFe Program Events: Strong proficiency in writing epics, capabilities, features, and user stories with acceptance criteria that meet Definition of Ready/Definition of Done. Other highly valued skills include: Exposure to Broader Banking Product Stacks: Payment's domain deep dive, Core banking systems, ETL / reporting flows, Integration with middleware (Kafka, MQ, file-based patterns). Technical Awareness & Analytical Tools: SQL/data interpretation, understanding of data models, interfaces and system behaviour, Ability to support issue triage (defects, test cycles). Risk Management & Regulatory Awareness: Risk & Controls, Regulatory Reporting, Liquidity Risk. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job specific technical skills. This role is based in Glasgow with a hybrid working model of working a minimum of 2 days per week in the office. Purpose of the role To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements. Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad hoc stakeholder needs. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and elevate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
11/05/2026
Full time
Step into the role of Lead Data Analyst at Barclays and play a pivotal part in shaping data-driven solutions across our banking platforms. In this role, you will bridge business needs and technical delivery, ensuring requirements are clearly defined, prioritized, and translated into high-quality solutions within an agile environment. A strong understanding of banking domains-such as Core Banking, Onboarding, Payments, FX, Liquidity, and Cash Management-is essential. Experience working within or understanding data mesh concepts and "data as a product" principles will enable you to effectively collaborate across distributed data teams. Desirably, you bring exposure to broader banking product stacks, including payments processing, core banking systems, ETL and reporting flows, and integrations using middleware technologies such as Kafka, MQ, or file-based patterns. Technical awareness is key, including proficiency in SQL, data interpretation, understanding of data models and system interfaces, and the ability to support defect triage and test cycles. To be successful as a Lead Data Analyst, you should have: Strong Requirements Engineering & Agile Analysis: Eliciting, validating and documenting BRDs/FRDs/user stories, Backlog refinement, feature mapping, supporting testing, Working within Agile frameworks Domain Expertise in any banking stack: Core Banking, Onboarding, Payments, FX, Liquidity and Cash Management etc. Having worked in a data mesh world or understanding concepts around data as a product. Agile Ceremonies & SAFe Program Events: Strong proficiency in writing epics, capabilities, features, and user stories with acceptance criteria that meet Definition of Ready/Definition of Done. Other highly valued skills include: Exposure to Broader Banking Product Stacks: Payment's domain deep dive, Core banking systems, ETL / reporting flows, Integration with middleware (Kafka, MQ, file-based patterns). Technical Awareness & Analytical Tools: SQL/data interpretation, understanding of data models, interfaces and system behaviour, Ability to support issue triage (defects, test cycles). Risk Management & Regulatory Awareness: Risk & Controls, Regulatory Reporting, Liquidity Risk. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job specific technical skills. This role is based in Glasgow with a hybrid working model of working a minimum of 2 days per week in the office. Purpose of the role To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements. Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad hoc stakeholder needs. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and elevate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Desirable: What you will be doing 1 month: Collaborate with key stakeholders (product managers, engineers, architects) to understand the current state of the research data landscape and identify immediate opportunities for improvement. Document the as-is data/technical landscape for research data and the wider domain. Begin building relationships and feedback loops with data governance, security, and other relevant groups to ensure alignment on data standards, security policies, and architectural principles. Start to map out the existing data sources and identify potential issues that need to be addressed. 3 months: 6 months: Having a good command of English is important; collaboration is important in our day to daywork, so being able to communicate your ideas and understand others' is key.For all roles in all locations, we oder a competitive, industry-benchmarked salary.To find out more about the package provided at each location, please visit: role is to provide data engineering and architectural leadership to teams building core data products and services powering Springer Nature's researcher brands. About you You're happy working across teams and departments to align and coordinate the development and delivery of data-centric solutions. You spot risks and opportunities and fill in the gaps between delivery teams. You help remove blockers throughout the data supply chain. You produce demos and MVPs for analysis and to test out possible solutions that you can use to demonstrate ideas or gaps. You take an iterative approach to solving complex problems and seek feedback to quickly arrive at the best result. Role Responsibilities: Coordinate across teams to ensure consistent data product development and utilisation, establishing and delivering the defined data architecture. This includes working with the Data Architect to understand team needs, use cases, and constraints for the use case data ecosystems. Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs. Advocate for teams delivering data-as-a-product. Collaborate on the design of the research data ecosystem, addressing disambiguation, data product creation, API development, model building, harmonisation, standardisation, and governance. Adopt company-standardized technology, including cloud platforms, and collaborate with technology teams to improve offerings. Consider the best technology for data teams, given a spectrum of technical literacy. Work with data privacy and governance teams to ensure data security and appropriate accessibility, adhering to relevant regulations (e.g., GDPR). Build relationships with other departments/disciplines/groups to ensure alignment and collaboration. Clarify constraints, trade-offs, or important decisions to non-technical stakeholders. Introduce business and product leaders to data and data engineering concepts and align solutions to user and business needs Foster a safe and collaborative technical community, growing technical knowledge and cultivating knowledge sharing in and across teams. Provide data-related technical and architectural assistance to product delivery teams and IT when needed. Assist and support tech leads and senior developers to help unblock issues. Skills & Experience Essential: Proven experience designing, delivering, and scaling data-intensive applications. Demonstrated ability to architect data solutions that meet performance, scalability, and security requirements. Experience working on transformation projects involving introducing new technologies and ways of working within a business. Ability to drive adoption of new data architectures and technologies. Ability to clarify and uncover technical requirements, risks, and opportunities with tech leads and collaborators. Experience translating business needs into technical specifications. Where necessary, advocate for and enforce cross-functional technical and data requirements (e.g., GDPR, security, operability, etc.) Deep, demonstratable experience delivering with various types of databases and design, including relational databases, NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments. Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault). Hands-on experience with cloud data platforms and services (e.g., AWS, Azure, GCP). Familiarity with cloud-native data architectures and technologies. Experience with data management tools and processes. Experience with AI and Machine Learning, including MLOps practices. Experience with decentralised Data Mesh and Data Product architecture principles. Maintain a high-level roadmap for the development of the research data ecosystem, outlining key milestones and deliverables for the next 6-12 months, and present to senior leadership Determine how the technical architecture can support delivery autonomy while supporting consistent user journeys across our platforms Perform feasibility analysis and provide recommendations on Build vs. Buy for systems that support the agile development process, scalability, and data governance requirements Create an architectural forum to bring together architects and tech leads in the research data initiatives Based on feedback from initial delivery, refine the roadmap and architecture, incorporating lessons learned and adjusting priorities as needed Scale the successful approaches to other areas of the research data ecosystem, empowering teams Develop and communicate a clear vision for the future of the research data ecosystem, highlighting its role in supporting strategic organisational goalsWe are an ambitious and dynamic organisation, and home to some of the best-known names in research, educational and professional publishing.Working at the heart of a changing industry, we are always looking for great people who care about delivering quality to our customers and the communities we work alongside. In return, you will find that we open the doors to discovery for all our employees - offering opportunities to learn from some of the best in the business, with a culture that encourages curiosity and empowers people to find solutions and act on their instincts. Whether you are at the beginning of your career or are an experienced professional, we invite you to find out more about the roles we offer and explore our current vacancies.We are a global and progressive business, founded on a heritage of trusted and respected brands - including Springer, founded in 1842, Macmillan, founded in 1843 and Nature, first published in 1869.Nearly two centuries of progress and advancement in science and education have helped shape the business we are today. Research and learning continues to be the cornerstone of progress, and we will continue to open doors to discovery through trusted brands and innovative products and services. Springer Nature Group was created in May 2015 through the combination of Nature Publishing Group, Macmillan Education and Springer Science+Business Media.
10/05/2026
Full time
Desirable: What you will be doing 1 month: Collaborate with key stakeholders (product managers, engineers, architects) to understand the current state of the research data landscape and identify immediate opportunities for improvement. Document the as-is data/technical landscape for research data and the wider domain. Begin building relationships and feedback loops with data governance, security, and other relevant groups to ensure alignment on data standards, security policies, and architectural principles. Start to map out the existing data sources and identify potential issues that need to be addressed. 3 months: 6 months: Having a good command of English is important; collaboration is important in our day to daywork, so being able to communicate your ideas and understand others' is key.For all roles in all locations, we oder a competitive, industry-benchmarked salary.To find out more about the package provided at each location, please visit: role is to provide data engineering and architectural leadership to teams building core data products and services powering Springer Nature's researcher brands. About you You're happy working across teams and departments to align and coordinate the development and delivery of data-centric solutions. You spot risks and opportunities and fill in the gaps between delivery teams. You help remove blockers throughout the data supply chain. You produce demos and MVPs for analysis and to test out possible solutions that you can use to demonstrate ideas or gaps. You take an iterative approach to solving complex problems and seek feedback to quickly arrive at the best result. Role Responsibilities: Coordinate across teams to ensure consistent data product development and utilisation, establishing and delivering the defined data architecture. This includes working with the Data Architect to understand team needs, use cases, and constraints for the use case data ecosystems. Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs. Advocate for teams delivering data-as-a-product. Collaborate on the design of the research data ecosystem, addressing disambiguation, data product creation, API development, model building, harmonisation, standardisation, and governance. Adopt company-standardized technology, including cloud platforms, and collaborate with technology teams to improve offerings. Consider the best technology for data teams, given a spectrum of technical literacy. Work with data privacy and governance teams to ensure data security and appropriate accessibility, adhering to relevant regulations (e.g., GDPR). Build relationships with other departments/disciplines/groups to ensure alignment and collaboration. Clarify constraints, trade-offs, or important decisions to non-technical stakeholders. Introduce business and product leaders to data and data engineering concepts and align solutions to user and business needs Foster a safe and collaborative technical community, growing technical knowledge and cultivating knowledge sharing in and across teams. Provide data-related technical and architectural assistance to product delivery teams and IT when needed. Assist and support tech leads and senior developers to help unblock issues. Skills & Experience Essential: Proven experience designing, delivering, and scaling data-intensive applications. Demonstrated ability to architect data solutions that meet performance, scalability, and security requirements. Experience working on transformation projects involving introducing new technologies and ways of working within a business. Ability to drive adoption of new data architectures and technologies. Ability to clarify and uncover technical requirements, risks, and opportunities with tech leads and collaborators. Experience translating business needs into technical specifications. Where necessary, advocate for and enforce cross-functional technical and data requirements (e.g., GDPR, security, operability, etc.) Deep, demonstratable experience delivering with various types of databases and design, including relational databases, NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments. Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault). Hands-on experience with cloud data platforms and services (e.g., AWS, Azure, GCP). Familiarity with cloud-native data architectures and technologies. Experience with data management tools and processes. Experience with AI and Machine Learning, including MLOps practices. Experience with decentralised Data Mesh and Data Product architecture principles. Maintain a high-level roadmap for the development of the research data ecosystem, outlining key milestones and deliverables for the next 6-12 months, and present to senior leadership Determine how the technical architecture can support delivery autonomy while supporting consistent user journeys across our platforms Perform feasibility analysis and provide recommendations on Build vs. Buy for systems that support the agile development process, scalability, and data governance requirements Create an architectural forum to bring together architects and tech leads in the research data initiatives Based on feedback from initial delivery, refine the roadmap and architecture, incorporating lessons learned and adjusting priorities as needed Scale the successful approaches to other areas of the research data ecosystem, empowering teams Develop and communicate a clear vision for the future of the research data ecosystem, highlighting its role in supporting strategic organisational goalsWe are an ambitious and dynamic organisation, and home to some of the best-known names in research, educational and professional publishing.Working at the heart of a changing industry, we are always looking for great people who care about delivering quality to our customers and the communities we work alongside. In return, you will find that we open the doors to discovery for all our employees - offering opportunities to learn from some of the best in the business, with a culture that encourages curiosity and empowers people to find solutions and act on their instincts. Whether you are at the beginning of your career or are an experienced professional, we invite you to find out more about the roles we offer and explore our current vacancies.We are a global and progressive business, founded on a heritage of trusted and respected brands - including Springer, founded in 1842, Macmillan, founded in 1843 and Nature, first published in 1869.Nearly two centuries of progress and advancement in science and education have helped shape the business we are today. Research and learning continues to be the cornerstone of progress, and we will continue to open doors to discovery through trusted brands and innovative products and services. Springer Nature Group was created in May 2015 through the combination of Nature Publishing Group, Macmillan Education and Springer Science+Business Media.
Senior Machine Learning Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash engineering team (working hybrid, 3 days in the office). You'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the search and personalization experiences at the heart of our fast-growing New Verticals business, encompassing grocery, convenience, and retail delivery. What You'll Do You'll be joining the New Verticals Personalisation team (Search & Recommendations). This team sits at the heart of how customers discover and shop across grocery, convenience, and retail categories, and is a key driver of the growth of Deliveroo's expanding New Verticals business. Working across the wider DoorDash engineering team, you'll help shape intelligent, consumer-facing experiences that solve real customer problems at scale. This role spans a broad range of cutting edge machine learning challenges, including modern recommendation and ranking systems, real time decisioning as well as GenAI powered experiences. Here's what your day to day might look like: Design and build production grade machine learning and optimisation systems that power Deliveroo's New Verticals search and recommendations at scale. Partner with engineering and product leaders to help shape the product roadmap leveraging ML. Provide technical leadership across multiple product areas, identifying and prioritising opportunities for high impact algorithmic improvements. Mentor junior team members, and lead cross functional pods to generate collective impact across the business. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Proven track record of designing and shipping impactful algorithms that deliver measurable business outcomes in a production environment. Deep expertise in applied ML for Search/NLP/IR/RecSys - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques are a plus. Machine learning background in Python; experience with PyTorch or TensorFlow preferred. Ability to think holistically about business problems, moving beyond technical implementation to influence long term strategy and roadmap. Excellent communication and stakeholder management skills, with the ability to influence both technical and non technical leaders across the global organisation. Why Join Us? At Deliveroo, you'll do work that matters-solving real world problems in a three sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: Solve meaningful problems at real scale. Work on a complex, always on marketplace that impacts millions every day. See your impact, fast. Ship, test and improve ideas quickly in a low hierarchy, high ownership environment. Grow through challenge and ownership. Take on big, ambiguous problems and accelerate your career with strong support. A culture built for builders. High standards, collaboration, flexible working, and continuous learning. Share in the success you help create. Competitive salary and equity options, so you're rewarded for the impact you make. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion or belief. If you have a disability or long term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience.
10/05/2026
Full time
Senior Machine Learning Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash engineering team (working hybrid, 3 days in the office). You'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the search and personalization experiences at the heart of our fast-growing New Verticals business, encompassing grocery, convenience, and retail delivery. What You'll Do You'll be joining the New Verticals Personalisation team (Search & Recommendations). This team sits at the heart of how customers discover and shop across grocery, convenience, and retail categories, and is a key driver of the growth of Deliveroo's expanding New Verticals business. Working across the wider DoorDash engineering team, you'll help shape intelligent, consumer-facing experiences that solve real customer problems at scale. This role spans a broad range of cutting edge machine learning challenges, including modern recommendation and ranking systems, real time decisioning as well as GenAI powered experiences. Here's what your day to day might look like: Design and build production grade machine learning and optimisation systems that power Deliveroo's New Verticals search and recommendations at scale. Partner with engineering and product leaders to help shape the product roadmap leveraging ML. Provide technical leadership across multiple product areas, identifying and prioritising opportunities for high impact algorithmic improvements. Mentor junior team members, and lead cross functional pods to generate collective impact across the business. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Proven track record of designing and shipping impactful algorithms that deliver measurable business outcomes in a production environment. Deep expertise in applied ML for Search/NLP/IR/RecSys - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques are a plus. Machine learning background in Python; experience with PyTorch or TensorFlow preferred. Ability to think holistically about business problems, moving beyond technical implementation to influence long term strategy and roadmap. Excellent communication and stakeholder management skills, with the ability to influence both technical and non technical leaders across the global organisation. Why Join Us? At Deliveroo, you'll do work that matters-solving real world problems in a three sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: Solve meaningful problems at real scale. Work on a complex, always on marketplace that impacts millions every day. See your impact, fast. Ship, test and improve ideas quickly in a low hierarchy, high ownership environment. Grow through challenge and ownership. Take on big, ambiguous problems and accelerate your career with strong support. A culture built for builders. High standards, collaboration, flexible working, and continuous learning. Share in the success you help create. Competitive salary and equity options, so you're rewarded for the impact you make. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion or belief. If you have a disability or long term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience.
Intact Insurance is the new name for RSA in the UK, Ireland, and across Europe. It's a new name and a new way to do business. Backed by global expertise and a commitment to service that feels different, we're focused on making insurance simpler, faster, and more responsive. We're leading a transformation in insurance helping people, businesses and society prosper in good times and be resilient in bad times. When you join us, you're not just taking a job, you're stepping into a career where you can make a real difference. We're customer-driven, community-focused, and committed to helping our people grow. Whether you're early in your journey or bringing years of experience, we'll support you with the tools, flexibility, and opportunities to thrive. You will make an Impact by As Director of AI - Chief Data Office you will be part of the leadership team within the Chief Data Office and responsible for overseeing Artificial Intelligence initiatives. This will include establishing frameworks and processes for Data-centric AI use cases on the AI & data platforms (e.g. machine learning deployment) supporting data led use cases, as well as enhancing our AI data capabilities, enabling AI driven decision making using data , and fostering a culture of innovation within the organisation. You will develop and execute a comprehensive AI strategy aligned with the CDO, the organisations business objectives and the CIO operating model. You will be identifying and pursuing innovative projects that leverage data and AI to drive business value. Your role will drive experimentation through prototypes and proof of concepts by providing sandbox environments, tooling advisory, and accelerators for AI solutions. You will drive Intact Insurance UK Limited to be the leading edge through researching and implementing the latest trends and advancements in data science and AI, whilst integrating relevant technologies into the lab's projects. As part of your role, you will design, support the development of, and oversee the deployment of ML models. You will define and manage Data-centric AI frameworks for the organisation, ensuring all data and associated AI practices comply with relevant regulations, ethical standards, and internal policies, this includes enabling analytical & data teams by establishing and managing AI governance on the Data/AI platform. Your role will establish an AI Data Centric CoE, working alongside the central AI governance function to bring together Data, technology, risk to support data led use cases to achieve the groups AI ambitions and goals, partnering with our parent company to accelerate our journey. You will build, mentor and lead a high-performing team of data scientists and ML engineers, whilst providing senior leaders appropriate recommendations and reporting on AI initiatives and usage at RSA. Your skills and experience: You will have an extensive background in Data Science, Machine Learning, and AI with an understanding of the insurance business, including commercial and specialty lines. You will have an excellent understanding of responsible AI, Data Architecture, Machine Learning, and analytics frameworks with a passion for keeping up to date with the latest developments in Data and AI. An excellent understanding of Azure, Databricks, and ML Platforms and using and rolling out LLM models in an enterprise will be required for your role. You will have extensive experience with tools such as TensorFlow, PyTorch, Scikit-learn and knowledge of data engineering and cloud platforms. You will be an experienced leader, with excellent communication skills and the ability to influence and engage stakeholders at all levels, explaining complex AI concepts to non-technical stakeholders. An excellent knowledge of compliance frameworks and ethical AI guidelines will be required for your role Why You'll Love It Here Being part of our team means you'll have the support and freedom to bring your best self to work each day. As a permanent member, here's what you can look forward to Annual discretionary bonus Up to 11% pension contributions 25 days annual leave + bank holidays + buy/sell options Career development and mentoring Inclusive culture + employee networks Share investment options Our DEI Commitment We celebrate individuality and believe our differences make us stronger. We're proud to foster a culture where everyone feels respected, valued, and empowered to thrive. As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria. We understand that everyone's circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work-life balance. If you meet the core criteria but not every requirement, we'd still love to hear from you. Let's explore how this role could support your next career step. If you need adjustments during the recruitment process, just let us know we're here to support you.
10/05/2026
Full time
Intact Insurance is the new name for RSA in the UK, Ireland, and across Europe. It's a new name and a new way to do business. Backed by global expertise and a commitment to service that feels different, we're focused on making insurance simpler, faster, and more responsive. We're leading a transformation in insurance helping people, businesses and society prosper in good times and be resilient in bad times. When you join us, you're not just taking a job, you're stepping into a career where you can make a real difference. We're customer-driven, community-focused, and committed to helping our people grow. Whether you're early in your journey or bringing years of experience, we'll support you with the tools, flexibility, and opportunities to thrive. You will make an Impact by As Director of AI - Chief Data Office you will be part of the leadership team within the Chief Data Office and responsible for overseeing Artificial Intelligence initiatives. This will include establishing frameworks and processes for Data-centric AI use cases on the AI & data platforms (e.g. machine learning deployment) supporting data led use cases, as well as enhancing our AI data capabilities, enabling AI driven decision making using data , and fostering a culture of innovation within the organisation. You will develop and execute a comprehensive AI strategy aligned with the CDO, the organisations business objectives and the CIO operating model. You will be identifying and pursuing innovative projects that leverage data and AI to drive business value. Your role will drive experimentation through prototypes and proof of concepts by providing sandbox environments, tooling advisory, and accelerators for AI solutions. You will drive Intact Insurance UK Limited to be the leading edge through researching and implementing the latest trends and advancements in data science and AI, whilst integrating relevant technologies into the lab's projects. As part of your role, you will design, support the development of, and oversee the deployment of ML models. You will define and manage Data-centric AI frameworks for the organisation, ensuring all data and associated AI practices comply with relevant regulations, ethical standards, and internal policies, this includes enabling analytical & data teams by establishing and managing AI governance on the Data/AI platform. Your role will establish an AI Data Centric CoE, working alongside the central AI governance function to bring together Data, technology, risk to support data led use cases to achieve the groups AI ambitions and goals, partnering with our parent company to accelerate our journey. You will build, mentor and lead a high-performing team of data scientists and ML engineers, whilst providing senior leaders appropriate recommendations and reporting on AI initiatives and usage at RSA. Your skills and experience: You will have an extensive background in Data Science, Machine Learning, and AI with an understanding of the insurance business, including commercial and specialty lines. You will have an excellent understanding of responsible AI, Data Architecture, Machine Learning, and analytics frameworks with a passion for keeping up to date with the latest developments in Data and AI. An excellent understanding of Azure, Databricks, and ML Platforms and using and rolling out LLM models in an enterprise will be required for your role. You will have extensive experience with tools such as TensorFlow, PyTorch, Scikit-learn and knowledge of data engineering and cloud platforms. You will be an experienced leader, with excellent communication skills and the ability to influence and engage stakeholders at all levels, explaining complex AI concepts to non-technical stakeholders. An excellent knowledge of compliance frameworks and ethical AI guidelines will be required for your role Why You'll Love It Here Being part of our team means you'll have the support and freedom to bring your best self to work each day. As a permanent member, here's what you can look forward to Annual discretionary bonus Up to 11% pension contributions 25 days annual leave + bank holidays + buy/sell options Career development and mentoring Inclusive culture + employee networks Share investment options Our DEI Commitment We celebrate individuality and believe our differences make us stronger. We're proud to foster a culture where everyone feels respected, valued, and empowered to thrive. As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria. We understand that everyone's circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work-life balance. If you meet the core criteria but not every requirement, we'd still love to hear from you. Let's explore how this role could support your next career step. If you need adjustments during the recruitment process, just let us know we're here to support you.
Vəzifə öhdəlikləri Maşın öyrənməsi (Machine Learning) və dərin öyrənmə (Deep Learning) modellərinin hazırlanması və optimallaşdırılması AI əsaslı tətbiqlərin (chatbot, recommendation system və s.) dizaynı və inkişafı Böyük həcmli məlumatların (Big Data) emalı və analizi NLP (Natural Language Processing) və ya Computer Vision layihələrinin hazırlanması Model performansının ölçülməsi və təkmilləşdirilməsi API-lər və AI servislərinin inteqrasiyası Texniki sənədləşmə və komanda ilə əməkdaşlıq Tələblər Kompüter elmləri, Data Science və ya əlaqəli sahədə ali təhsil Python, R və ya digər proqramlaşdırma dillərində təcrübə TensorFlow, PyTorch, Scikit-learn kimi kitabxanalarla işləmə bacarığı Data strukturları və alqoritmlər üzrə bilik SQL və ya NoSQL verilənlər bazası biliyi Git və versiya idarəetmə sistemləri ilə təcrübə Üstünlüklər NLP, Computer Vision və ya Generative AI sahəsində təcrübə Cloud platformalar (AWS, GCP, Azure) ilə iş təcrübəsi Docker və Kubernetes biliyi Real layihələrdə AI tətbiqi təcrübəsi Biz nə təklif edirik Rəqabətli əmək haqqı Peşəkar inkişaf imkanları Müasir texnologiyalarla işləmə imkanı Rahat və innovativ iş mühiti Vəzifə öhdəlikləri Proqram təminatının test planlarının və test ssenarilərinin hazırlanması Manual və avtomatlaşdırılmış testlərin icrası Tapılan bug və problemlərin qeydiyyatı və izlənməsi (bug tracking) Funksional, regresiya və performans testlərinin aparılması Tələblərin analiz edilməsi və test strategiyasının hazırlanması Developer komandası ilə sıx əməkdaşlıq Test nəticələrinin sənədləşdirilməsi və hesabatların hazırlanması Müəyyən keyfiyyətinin davamlı olaraq yaxşılaşdırılmasına töhfə vermək Tələblər İnformasiya texnologiyaları və ya əlaqəli sahədə ali təhsil QA sahəsində minimum 1+ il iş təcrübəsi Manual test metodologiyaları üzrə biliklər Test case, test plan və bug report yazmaq bacarığı API testing üzrə ilkin biliklər (Postman və s.) SDLC və STLC prosesləri haqqında anlayış Git və bug tracking alətləri (Jira və s.) ilə işləmə bacarığı Üstünlüklər Avtomatlaşdırılmış test alətləri üzrə bilik (Selenium, Cypress və s.) SQL bilikləri Performans test alətləri ilə təcrübə (JMeter və s.) Agile/Scrum metodologiyaları ilə işləmə təcrübəsi Proqramlaşdırma bilikləri (Java, Python və s.) Biz nə təklif edirik Müasir texnologiyalarla işləmə imkanı Peşəkar inkişaf və təlim imkanları Rahat və dinamik iş mühiti Rəqabətli əmək haqqı və bonus sistemi Karyera yüksəlişi perspektivi Keyfiyyət Təminatı üzrə Baş Mühəndis (Senior QA Engineer) Vəzifə öhdəlikləri Test strategiyasının hazırlanması və icrasına nəzarət Test planlarının və kompleks test ssenarilərinin hazırlanması Manual və avtomatlaşdırılmış testlərin təşkili və idarə olunması QA komandasının işinin koordinasiyası və mentorluq Proseslərin təkmilləşdirilməsi və keyfiyyət standartlarının tətbiqi Performans, təhlükəsizlik və inteqrasiya testlərinin təşkili Bug-ların prioritetləşdirilməsi və risklərin idarə olunması Developer və product komandaları ilə sıx əməkdaşlıq Tələblər QA sahəsində minimum 4+ il iş təcrübəsi Manual və automation testing üzrə dərin biliklər Test framework-lər və alətlər (Selenium, Cypress və s.) üzrə təcrübə API testing üzrə güclü biliklər SQL və verilənlər bazası ilə işləmə bacarığı SDLC, STLC və Agile metodologiyaları üzrə təcrübə Test sənədlərinin hazırlanması üzrə yüksək bacarıq Üstünlüklər CI/CD prosesləri ilə işləmə təcrübəsi Performance testing alətləri (JMeter və s.) Proqramlaşdırma bilikləri (Java, Python və s.) Liderlik və komanda idarəetmə təcrübəsi Biz nə təklif edirik Strateji layihələrdə iştirak imkanı Komanda idarəetmə və liderlik imkanları Peşəkar inkişaf və təlim proqramları Rəqabətli əmək haqqı və bonus sistemi Stabil və innovativ iş mühiti Vəzifə öhdəlikləri Test planları və test ssenarilərinin hazırlanmasına dəstək Manual testlərin icrası və nəticələrin sənədləşdirilməsi Tapılan xətaların (bug) qeydiyyatı və izlənməsi Funksional və regresiya testlərində iştirak Tələblərin öyrənilməsi və test prosesində tətbiqi Komanda ilə əməkdaşlıq və gündəlik proseslərdə iştirak Tələblər İnformasiya texnologiyaları və ya əlaqəli sahədə ali təhsil (və ya son kurs tələbəsi) QA sahəsində ilkin biliklər və ya təcrübə (təcrübə proqramları üstünlükdür) Manual testing üzrə anlayış Test case və bug report yazmaq bacarığı SDLC və STLC haqqında ümumi bilik MS Office bilikləri Üstünlüklər API testing üzrə ilkin biliklər (Postman və s.) Bug tracking alətləri ilə işləmə təcrübəsi (Jira və s.) SQL üzrə əsas biliklər Agile/Scrum metodologiyası haqqında anlayış Biz nə təklif edirik Praktiki təcrübə və mentor dəstəyi Peşəkar inkişaf imkanları Rahat və dəstəkləyici iş mühiti Karyera yüksəlişi perspektivi
10/05/2026
Full time
Vəzifə öhdəlikləri Maşın öyrənməsi (Machine Learning) və dərin öyrənmə (Deep Learning) modellərinin hazırlanması və optimallaşdırılması AI əsaslı tətbiqlərin (chatbot, recommendation system və s.) dizaynı və inkişafı Böyük həcmli məlumatların (Big Data) emalı və analizi NLP (Natural Language Processing) və ya Computer Vision layihələrinin hazırlanması Model performansının ölçülməsi və təkmilləşdirilməsi API-lər və AI servislərinin inteqrasiyası Texniki sənədləşmə və komanda ilə əməkdaşlıq Tələblər Kompüter elmləri, Data Science və ya əlaqəli sahədə ali təhsil Python, R və ya digər proqramlaşdırma dillərində təcrübə TensorFlow, PyTorch, Scikit-learn kimi kitabxanalarla işləmə bacarığı Data strukturları və alqoritmlər üzrə bilik SQL və ya NoSQL verilənlər bazası biliyi Git və versiya idarəetmə sistemləri ilə təcrübə Üstünlüklər NLP, Computer Vision və ya Generative AI sahəsində təcrübə Cloud platformalar (AWS, GCP, Azure) ilə iş təcrübəsi Docker və Kubernetes biliyi Real layihələrdə AI tətbiqi təcrübəsi Biz nə təklif edirik Rəqabətli əmək haqqı Peşəkar inkişaf imkanları Müasir texnologiyalarla işləmə imkanı Rahat və innovativ iş mühiti Vəzifə öhdəlikləri Proqram təminatının test planlarının və test ssenarilərinin hazırlanması Manual və avtomatlaşdırılmış testlərin icrası Tapılan bug və problemlərin qeydiyyatı və izlənməsi (bug tracking) Funksional, regresiya və performans testlərinin aparılması Tələblərin analiz edilməsi və test strategiyasının hazırlanması Developer komandası ilə sıx əməkdaşlıq Test nəticələrinin sənədləşdirilməsi və hesabatların hazırlanması Müəyyən keyfiyyətinin davamlı olaraq yaxşılaşdırılmasına töhfə vermək Tələblər İnformasiya texnologiyaları və ya əlaqəli sahədə ali təhsil QA sahəsində minimum 1+ il iş təcrübəsi Manual test metodologiyaları üzrə biliklər Test case, test plan və bug report yazmaq bacarığı API testing üzrə ilkin biliklər (Postman və s.) SDLC və STLC prosesləri haqqında anlayış Git və bug tracking alətləri (Jira və s.) ilə işləmə bacarığı Üstünlüklər Avtomatlaşdırılmış test alətləri üzrə bilik (Selenium, Cypress və s.) SQL bilikləri Performans test alətləri ilə təcrübə (JMeter və s.) Agile/Scrum metodologiyaları ilə işləmə təcrübəsi Proqramlaşdırma bilikləri (Java, Python və s.) Biz nə təklif edirik Müasir texnologiyalarla işləmə imkanı Peşəkar inkişaf və təlim imkanları Rahat və dinamik iş mühiti Rəqabətli əmək haqqı və bonus sistemi Karyera yüksəlişi perspektivi Keyfiyyət Təminatı üzrə Baş Mühəndis (Senior QA Engineer) Vəzifə öhdəlikləri Test strategiyasının hazırlanması və icrasına nəzarət Test planlarının və kompleks test ssenarilərinin hazırlanması Manual və avtomatlaşdırılmış testlərin təşkili və idarə olunması QA komandasının işinin koordinasiyası və mentorluq Proseslərin təkmilləşdirilməsi və keyfiyyət standartlarının tətbiqi Performans, təhlükəsizlik və inteqrasiya testlərinin təşkili Bug-ların prioritetləşdirilməsi və risklərin idarə olunması Developer və product komandaları ilə sıx əməkdaşlıq Tələblər QA sahəsində minimum 4+ il iş təcrübəsi Manual və automation testing üzrə dərin biliklər Test framework-lər və alətlər (Selenium, Cypress və s.) üzrə təcrübə API testing üzrə güclü biliklər SQL və verilənlər bazası ilə işləmə bacarığı SDLC, STLC və Agile metodologiyaları üzrə təcrübə Test sənədlərinin hazırlanması üzrə yüksək bacarıq Üstünlüklər CI/CD prosesləri ilə işləmə təcrübəsi Performance testing alətləri (JMeter və s.) Proqramlaşdırma bilikləri (Java, Python və s.) Liderlik və komanda idarəetmə təcrübəsi Biz nə təklif edirik Strateji layihələrdə iştirak imkanı Komanda idarəetmə və liderlik imkanları Peşəkar inkişaf və təlim proqramları Rəqabətli əmək haqqı və bonus sistemi Stabil və innovativ iş mühiti Vəzifə öhdəlikləri Test planları və test ssenarilərinin hazırlanmasına dəstək Manual testlərin icrası və nəticələrin sənədləşdirilməsi Tapılan xətaların (bug) qeydiyyatı və izlənməsi Funksional və regresiya testlərində iştirak Tələblərin öyrənilməsi və test prosesində tətbiqi Komanda ilə əməkdaşlıq və gündəlik proseslərdə iştirak Tələblər İnformasiya texnologiyaları və ya əlaqəli sahədə ali təhsil (və ya son kurs tələbəsi) QA sahəsində ilkin biliklər və ya təcrübə (təcrübə proqramları üstünlükdür) Manual testing üzrə anlayış Test case və bug report yazmaq bacarığı SDLC və STLC haqqında ümumi bilik MS Office bilikləri Üstünlüklər API testing üzrə ilkin biliklər (Postman və s.) Bug tracking alətləri ilə işləmə təcrübəsi (Jira və s.) SQL üzrə əsas biliklər Agile/Scrum metodologiyası haqqında anlayış Biz nə təklif edirik Praktiki təcrübə və mentor dəstəyi Peşəkar inkişaf imkanları Rahat və dəstəkləyici iş mühiti Karyera yüksəlişi perspektivi
Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview Citi Services is a core business unit within Citigroup that provides global treasury, trade, and securities services to roughly 19,000 corporate and financial institution clients. Described as a "crown jewel" by management, it focuses on cash management, cross-border payments, working capital solutions, and asset servicing across roughly 190 countries. Core Components of Citi Services Treasury and Trade Solutions (TTS): Helps companies move, manage, and invest money, including liquidity management, payments/receivables, and trade financing. Securities Services: Provides custodial services to investment managers, tracking the value of holdings and facilitating the issuance of debt and equity securities. Digital Innovation: Utilizes proprietary networks for instant payments and blockchain-based tools (Citi Token Services) for 24/7 liquidity management The AI Development Lead for Services Technology oversees the entire lifecycle of AI and machine learning initiatives, bridging technical teams (data scientists/engineers) with business strategy. You are responsible for setting project roadmaps, ensuring technical feasibility, deploying AI models, and ensuring ethical AI deployment to deliver business value. Key duties include team leadership, resource management, and setting strategic direction. Responsibilities Manage/develop multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) as well as ensure team adheres to best practices and process. Develop vision for team around roles and responsibilities, and structure team to ensure greatest impact, efficient use of resource, and alignment to business structures. Prepare and present regular team/project reviews to senior management and business leaders Drive the design and development of system architecture, work with end-users of the systems, and enhance the quality of deliverables. Ensure staff follows Citi documented policy and procedures as well as maintain desktop procedures and supporting documentation for filings on a current basis and in comprehensive manner Monitor and manage approach/end results, budgeting, planning, policy formation, and contribute to future strategy of the area(s) Ensure change is managed with appropriate controls, documentation, and approvals including implementation of new and revised regulatory reporting requirements Research and resolve issues, provide recommendations, and escalate to senior management as needed Manage and maintain all disaster recovery plans, oversee appropriate testing, and provide permit-to-operate for new applications Lead and deliver local staff forums, present global, regional, and location news and updates to engage team in the progress of organization Contribute to defining and implementing best practices and processes for the department and ensure transparency and consistency across teams Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgement regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Qualifications 15+ years of relevant experience 8-10+ years of managerial experience Experienced in Agile ways of working, including use of relevant tools and ceremonies to Agile, Scrum and Kanban In-depth knowledge and experience with modern tech stack including Java, Microservices, Containerization, RDBMS, Big Data, Cloud and UI/UX technologies Ability to work under pressure and meet deadlines, adapting to unexpected changes in expectations or requirements Ability to engineer robust technical solutions with a focus on reliability and long-term total cost of ownership Working knowledge of Compliance/Risk & Controls concepts and functions within financial services Demonstrated leadership, management, and team development skills Strong analytical and problem-solving skills Strong oral and written communication skills and ability to facilitate discussions What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well. By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretionary annual performance related bonus Private medical insurance packages to suit your personal circumstances 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. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. Equal opportunity employer statement: Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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, please review the site accessibility information and know-your-rights resources.
10/05/2026
Full time
Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview Citi Services is a core business unit within Citigroup that provides global treasury, trade, and securities services to roughly 19,000 corporate and financial institution clients. Described as a "crown jewel" by management, it focuses on cash management, cross-border payments, working capital solutions, and asset servicing across roughly 190 countries. Core Components of Citi Services Treasury and Trade Solutions (TTS): Helps companies move, manage, and invest money, including liquidity management, payments/receivables, and trade financing. Securities Services: Provides custodial services to investment managers, tracking the value of holdings and facilitating the issuance of debt and equity securities. Digital Innovation: Utilizes proprietary networks for instant payments and blockchain-based tools (Citi Token Services) for 24/7 liquidity management The AI Development Lead for Services Technology oversees the entire lifecycle of AI and machine learning initiatives, bridging technical teams (data scientists/engineers) with business strategy. You are responsible for setting project roadmaps, ensuring technical feasibility, deploying AI models, and ensuring ethical AI deployment to deliver business value. Key duties include team leadership, resource management, and setting strategic direction. Responsibilities Manage/develop multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) as well as ensure team adheres to best practices and process. Develop vision for team around roles and responsibilities, and structure team to ensure greatest impact, efficient use of resource, and alignment to business structures. Prepare and present regular team/project reviews to senior management and business leaders Drive the design and development of system architecture, work with end-users of the systems, and enhance the quality of deliverables. Ensure staff follows Citi documented policy and procedures as well as maintain desktop procedures and supporting documentation for filings on a current basis and in comprehensive manner Monitor and manage approach/end results, budgeting, planning, policy formation, and contribute to future strategy of the area(s) Ensure change is managed with appropriate controls, documentation, and approvals including implementation of new and revised regulatory reporting requirements Research and resolve issues, provide recommendations, and escalate to senior management as needed Manage and maintain all disaster recovery plans, oversee appropriate testing, and provide permit-to-operate for new applications Lead and deliver local staff forums, present global, regional, and location news and updates to engage team in the progress of organization Contribute to defining and implementing best practices and processes for the department and ensure transparency and consistency across teams Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgement regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Qualifications 15+ years of relevant experience 8-10+ years of managerial experience Experienced in Agile ways of working, including use of relevant tools and ceremonies to Agile, Scrum and Kanban In-depth knowledge and experience with modern tech stack including Java, Microservices, Containerization, RDBMS, Big Data, Cloud and UI/UX technologies Ability to work under pressure and meet deadlines, adapting to unexpected changes in expectations or requirements Ability to engineer robust technical solutions with a focus on reliability and long-term total cost of ownership Working knowledge of Compliance/Risk & Controls concepts and functions within financial services Demonstrated leadership, management, and team development skills Strong analytical and problem-solving skills Strong oral and written communication skills and ability to facilitate discussions What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well. By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretionary annual performance related bonus Private medical insurance packages to suit your personal circumstances 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. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. Equal opportunity employer statement: Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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, please review the site accessibility information and know-your-rights resources.
London, United Kingdom Posted on 17/09/2025 Segmentify is an e-commerce personalization platform helping online retailers to optimise their conversion rates by enabling them to deliver a unique shopping experience for each visitor. Segmentify tracks each individual visitor's behaviour in real-time and offers smart product recommendations by utilising in-house developed AI technology. We have a dynamic and passionate compact team dedicated to creating a SaaS solution to boost eCommerce revenue. We are selected as one of the 25 Machine Learning Startups to Watch by Forbes magazine. We are one of the fastest growing start-ups in AI based e-commerce solutions with multiple investment rounds and have offices in 5 countries. Role: You will collaborate closely with our product, design, and customer success teams, transforming requirements into scalable technical solutions and ensuring smooth, reliable deployments. Your output shall be used by hundreds of Segmentify customers to configure, run and personalise their campaigns on a daily basis. Our Tech Stack includes TypeScript, Node.js, React/Vue/Svelte, Vite, esbuild, Babel, pnpm/npm, GitHub Actions, Jest/Vitest, Playwright/Cypress, NestJS/Express, REST/GraphQL (check details from Stack Share Profile ) Responsibilities: Develop scalable, maintainable web applications regardless of framework (React, Vue, Svelte, vanilla JS) Manage customer integrations, write integration documentation, and support setup phases Analyze and deliver customer revision and feature requests in a timely manner Configure and optimize build pipelines with Babel, Vite, and esbuild (HMR, tree-shaking, code-splitting, bundle size optimization) Develop and publish npm packages (semantic versioning, changelogs, automated releases) Build Front-End CI/CD pipelines with GitHub Actions (lint/test/build/storybook/e2e, caching, multi-environment deployments) Design and implement Backend-for-Frontend (BFF) layers (preferably using Node.js/NestJS) with API orchestration, caching, rate limiting, and security best practices Write robust, type-safe code in TypeScript with well-structured domain models Develop SDKs and reusable libraries used by external developers/customers Ensure code quality through unit/integration testing, code reviews, and performance/security improvements Requirements Develop scalable, maintainable web applications regardless of framework (React, Vue, Svelte, vanilla JS) BSc or MSc degree in Computer Science, Computer Engineering, Software Engineering or related disciplines from reputable universities 7+ years of professional web development experience Deep knowledge of Babel, Vite, and esbuild (plugins, loaders, build optimization) Strong experience with npm package development and publishing (monorepo/workspace experience is a plus) Proven experience with GitHub Actions (or similar) for front-end CI/CD Hands-on BFF development experience (Node.js, preferably NestJS/Express) Advanced TypeScript knowledge (generics, utility types, strict mode, configuration optimization) Experience developing SDKs or client libraries and releasing them to production Experience working on customer integrations and handling revision requests Strong experience with npm package development and publishing (monorepo/workspace experience is a plus) Proven experience with GitHub Actions (or similar) for front-end CI/CD Hands-on BFF development experience (Node.js, preferably NestJS/Express) Advanced TypeScript knowledge (generics, utility types, strict mode, configuration optimization) Experience developing SDKs or client libraries and releasing them to production Experience working on customer integrations and handling revision requests English level B2 or higher - must be comfortable with technical communication, documentation, and client interactions Nice To Have: Monorepo setups (Nx, Turborepo), Storybook, Playwright/Cypress, Vitest/Jest Performance monitoring (Lighthouse, Web Vitals) and logging/observability Security best practices (CSP, SRI, OWASP, dependency auditing) CDN, edge functions, SSR/SSG, ISR architectures Micro-frontend or design-system experience
09/05/2026
Full time
London, United Kingdom Posted on 17/09/2025 Segmentify is an e-commerce personalization platform helping online retailers to optimise their conversion rates by enabling them to deliver a unique shopping experience for each visitor. Segmentify tracks each individual visitor's behaviour in real-time and offers smart product recommendations by utilising in-house developed AI technology. We have a dynamic and passionate compact team dedicated to creating a SaaS solution to boost eCommerce revenue. We are selected as one of the 25 Machine Learning Startups to Watch by Forbes magazine. We are one of the fastest growing start-ups in AI based e-commerce solutions with multiple investment rounds and have offices in 5 countries. Role: You will collaborate closely with our product, design, and customer success teams, transforming requirements into scalable technical solutions and ensuring smooth, reliable deployments. Your output shall be used by hundreds of Segmentify customers to configure, run and personalise their campaigns on a daily basis. Our Tech Stack includes TypeScript, Node.js, React/Vue/Svelte, Vite, esbuild, Babel, pnpm/npm, GitHub Actions, Jest/Vitest, Playwright/Cypress, NestJS/Express, REST/GraphQL (check details from Stack Share Profile ) Responsibilities: Develop scalable, maintainable web applications regardless of framework (React, Vue, Svelte, vanilla JS) Manage customer integrations, write integration documentation, and support setup phases Analyze and deliver customer revision and feature requests in a timely manner Configure and optimize build pipelines with Babel, Vite, and esbuild (HMR, tree-shaking, code-splitting, bundle size optimization) Develop and publish npm packages (semantic versioning, changelogs, automated releases) Build Front-End CI/CD pipelines with GitHub Actions (lint/test/build/storybook/e2e, caching, multi-environment deployments) Design and implement Backend-for-Frontend (BFF) layers (preferably using Node.js/NestJS) with API orchestration, caching, rate limiting, and security best practices Write robust, type-safe code in TypeScript with well-structured domain models Develop SDKs and reusable libraries used by external developers/customers Ensure code quality through unit/integration testing, code reviews, and performance/security improvements Requirements Develop scalable, maintainable web applications regardless of framework (React, Vue, Svelte, vanilla JS) BSc or MSc degree in Computer Science, Computer Engineering, Software Engineering or related disciplines from reputable universities 7+ years of professional web development experience Deep knowledge of Babel, Vite, and esbuild (plugins, loaders, build optimization) Strong experience with npm package development and publishing (monorepo/workspace experience is a plus) Proven experience with GitHub Actions (or similar) for front-end CI/CD Hands-on BFF development experience (Node.js, preferably NestJS/Express) Advanced TypeScript knowledge (generics, utility types, strict mode, configuration optimization) Experience developing SDKs or client libraries and releasing them to production Experience working on customer integrations and handling revision requests Strong experience with npm package development and publishing (monorepo/workspace experience is a plus) Proven experience with GitHub Actions (or similar) for front-end CI/CD Hands-on BFF development experience (Node.js, preferably NestJS/Express) Advanced TypeScript knowledge (generics, utility types, strict mode, configuration optimization) Experience developing SDKs or client libraries and releasing them to production Experience working on customer integrations and handling revision requests English level B2 or higher - must be comfortable with technical communication, documentation, and client interactions Nice To Have: Monorepo setups (Nx, Turborepo), Storybook, Playwright/Cypress, Vitest/Jest Performance monitoring (Lighthouse, Web Vitals) and logging/observability Security best practices (CSP, SRI, OWASP, dependency auditing) CDN, edge functions, SSR/SSG, ISR architectures Micro-frontend or design-system experience
Overview As a Principal Engineer at M&S, you'll play a critical role in shaping our technical direction and delivering against our strategic goals. Acting as a senior technical leader, you'll drive engineering excellence, influence architecture, and align technology decisions with business priorities. You'll join our Personalisation product group, responsible for delivering on-site and in-app personalisation, search, and recommendation capabilities. This includes some of our most innovative customer experiences, such as 1:1 personalised search and AI-powered styling. Working within highly cross functional teams spanning engineering, data science, product, and design, you'll help deliver our vision of making every M&S digital experience feel tailored to the individual customer. What's In It For You Being a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us. Here are some of the benefits we offer that make working for M&S just that little bit more special After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third party brands for you and a member of your household. Competitive holiday entitlement with the potential to buy extra holiday days! Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business. A generous Defined Contribution Pension Scheme and Life Assurance. A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills. Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing. Industry leading parental, adoption and neonatal policies, providing support and flexibility for your family. Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family. A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work. What you'll be doing Define and drive technical strategy, architecture, and engineering standards across the Personalisation domain Design and deliver scalable systems supporting personalisation, search, recommendations, and ML powered features Partner closely with Product, Data Science, and Design to deliver customer centric solutions Lead and influence technical decision making across multiple teams and platforms Mentor and support senior engineers, helping to raise the overall engineering capability Improve engineering quality, reliability, and productivity through best practices, tooling, and platform enhancements Who you are An experienced technical leader with a strong background in Java/Python and large scale production systems Strong experience working with Machine Learning systems and collaborating with Data Science teams Skilled in system design and architecture, with the ability to deliver scalable, high quality solutions Comfortable working across cross functional environments with multiple stakeholders Passionate about growing others and driving engineering excellence A strong communicator who can influence technical and business decisions at all levels Everyone's Welcome We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
09/05/2026
Full time
Overview As a Principal Engineer at M&S, you'll play a critical role in shaping our technical direction and delivering against our strategic goals. Acting as a senior technical leader, you'll drive engineering excellence, influence architecture, and align technology decisions with business priorities. You'll join our Personalisation product group, responsible for delivering on-site and in-app personalisation, search, and recommendation capabilities. This includes some of our most innovative customer experiences, such as 1:1 personalised search and AI-powered styling. Working within highly cross functional teams spanning engineering, data science, product, and design, you'll help deliver our vision of making every M&S digital experience feel tailored to the individual customer. What's In It For You Being a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us. Here are some of the benefits we offer that make working for M&S just that little bit more special After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third party brands for you and a member of your household. Competitive holiday entitlement with the potential to buy extra holiday days! Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business. A generous Defined Contribution Pension Scheme and Life Assurance. A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills. Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing. Industry leading parental, adoption and neonatal policies, providing support and flexibility for your family. Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family. A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work. What you'll be doing Define and drive technical strategy, architecture, and engineering standards across the Personalisation domain Design and deliver scalable systems supporting personalisation, search, recommendations, and ML powered features Partner closely with Product, Data Science, and Design to deliver customer centric solutions Lead and influence technical decision making across multiple teams and platforms Mentor and support senior engineers, helping to raise the overall engineering capability Improve engineering quality, reliability, and productivity through best practices, tooling, and platform enhancements Who you are An experienced technical leader with a strong background in Java/Python and large scale production systems Strong experience working with Machine Learning systems and collaborating with Data Science teams Skilled in system design and architecture, with the ability to deliver scalable, high quality solutions Comfortable working across cross functional environments with multiple stakeholders Passionate about growing others and driving engineering excellence A strong communicator who can influence technical and business decisions at all levels Everyone's Welcome We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
Senior Machine Learning Scientist UK or Poland (Remote or Hybrid, it's up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company's success through options If you're in London, a dog friendly office with great classes, events, and a rooftop terrace The Role Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best in class tech in a fast developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Scientist to join the team and help build and ship the next generation of that stack. What you'll be doing Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine tuning pipelines. Run experiments end to end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding based approaches toward more advanced methods. Write production quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you'll need A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter efficient fine tuning techniques such as LoRA. Extensive experience working with large scale, messy real world text data, including classification, extraction, embeddings, re rankers, clustering, and search. Experience in instruction fine tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools. A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they're the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non technical audiences (and vice versa!). Technical curiosity and a keen interest in AI - a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. It would be a bonus if you MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR). Our Hiring Process Let's introduce ourselves - you'll complete an introductory asynchronous interview - we'd love to learn more about you, your ambitions, and what you're looking for in your next step. Get to know your would be manager - you'll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work - you'll complete a short take home assignment. Get to know your would be team - You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align - you'll have a call with our cofounder to learn more about life at Chattermill and ensure we're the right place for your next stage of growth. Our Values We are obsessed with experience - We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust - Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners - Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress - On every level, we're motivated by taking on new challenges - even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble - We've come together to build a product and a category that's never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success - At Chattermill we've learned that all our important achievements have been the result of the right people collaborating together - that's why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone's voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don't meet 100% of the listed requirements - we believe in potential and will happily consider all applications based on the skills and experience you have, we'd love to be part of your growth and we encourage you to apply!
09/05/2026
Full time
Senior Machine Learning Scientist UK or Poland (Remote or Hybrid, it's up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company's success through options If you're in London, a dog friendly office with great classes, events, and a rooftop terrace The Role Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best in class tech in a fast developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Scientist to join the team and help build and ship the next generation of that stack. What you'll be doing Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine tuning pipelines. Run experiments end to end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding based approaches toward more advanced methods. Write production quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you'll need A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter efficient fine tuning techniques such as LoRA. Extensive experience working with large scale, messy real world text data, including classification, extraction, embeddings, re rankers, clustering, and search. Experience in instruction fine tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools. A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they're the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non technical audiences (and vice versa!). Technical curiosity and a keen interest in AI - a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. It would be a bonus if you MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR). Our Hiring Process Let's introduce ourselves - you'll complete an introductory asynchronous interview - we'd love to learn more about you, your ambitions, and what you're looking for in your next step. Get to know your would be manager - you'll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work - you'll complete a short take home assignment. Get to know your would be team - You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align - you'll have a call with our cofounder to learn more about life at Chattermill and ensure we're the right place for your next stage of growth. Our Values We are obsessed with experience - We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust - Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners - Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress - On every level, we're motivated by taking on new challenges - even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble - We've come together to build a product and a category that's never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success - At Chattermill we've learned that all our important achievements have been the result of the right people collaborating together - that's why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone's voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don't meet 100% of the listed requirements - we believe in potential and will happily consider all applications based on the skills and experience you have, we'd love to be part of your growth and we encourage you to apply!
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. Principal Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, leading the delivery of high value data science products that support and automate decision making across critical business areas. This team plays a vital role in unlocking value from data, driving optimisation and enabling evidence based decisions across the airline. What you'll do: Lead the end to end delivery and lifecycle management of data science products and initiatives Scope and frame ill defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision support tools Design, build and deploy production ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross functional Agile squads Contribute to feature prioritisation and road mapping, balancing speed and long term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship building capability Experience coaching, developing and line managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
09/05/2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. Principal Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, leading the delivery of high value data science products that support and automate decision making across critical business areas. This team plays a vital role in unlocking value from data, driving optimisation and enabling evidence based decisions across the airline. What you'll do: Lead the end to end delivery and lifecycle management of data science products and initiatives Scope and frame ill defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision support tools Design, build and deploy production ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross functional Agile squads Contribute to feature prioritisation and road mapping, balancing speed and long term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship building capability Experience coaching, developing and line managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
08/05/2026
Full time
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralizes global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the Role As Senior/Lead ML Engineer (Recommendations), you will own the intelligence behind what Swap's AI Storefront shows to every shopper. This is a deeply technical, hands on role at the intersection of recommendation systems, LLMs, and fashion understanding. You'll build the models and pipelines that power style aware product recommendations, outfit generation, and personalised discovery, working end to end from research and prototyping through to production systems serving real customers. You'll work closely with our conversational AI layer, which extracts rich preference signals through dialogue, and find ways to combine that with traditional e commerce behavioural data and LLM based world knowledge to bootstrap and refine recommendations, including solving cold start problems in novel ways. You'll set a high technical bar for ML engineering within the recommendations space at Swap, and as we scale, you'll play a key role in how this area of the team evolves. Key Responsibilities Own the end-to-end ML lifecycle for recommendation and personalisation systems, from problem framing and data exploration through to deployment, evaluation, and iteration. Design, build, and productionise models for style aware recommendations, including item pairing, outfit generation, preference matching, and personalised discovery. Develop approaches that combine conversational preference extraction (from our memory layer) with traditional behavioural signals and LLM based world knowledge to power high quality recommendations, particularly in cold start and sparse data scenarios. Build and optimise the feature pipelines and serving infrastructure that power recommendations at scale, working closely with engineering. Define and champion best practices for offline and online evaluation of recommendation quality, including metrics for relevance, diversity, novelty, and style coherence. Collaborate closely with product, AI engineering, and design to shape how recommendations surface across the AI Storefront, from conversational flows to visual discovery experiences. Explore and integrate signals from social media content and visual style to enrich user taste profiles and improve recommendation relevance. Act as a senior technical reference point for recommendation and personalisation engineering at Swap, helping to set standards, review critical work, and guide teammates. What We Would Like to See Significant experience (typically 5+ years) in ML engineering or applied machine learning roles, with clear ownership of production recommendation or personalisation systems that drove meaningful business outcomes. Strong hands on skills in Python and relevant ML/deep learning frameworks (e.g. PyTorch, TensorFlow), plus solid software engineering practices (testing, version control, code review, CI/CD). Proven track record building recommendation systems, with practical experience in techniques such as collaborative filtering, content based methods, embedding models, sequence models, or graph based approaches. Experience with LLMs and a practical understanding of how to leverage them within recommendation pipelines, whether for feature enrichment, preference understanding, knowledge bootstrapping, or hybrid retrieval approaches. Comfort working with fashion, style, or visual domains is a strong plus, particularly experience with visual embeddings, multimodal models, or taste/preference modelling. Practical experience deploying and iterating on ML systems in production (model serving, monitoring, retraining strategies, working with APIs and microservices). Benefits Competitive base salary Stock options in a high growth startup Competitive PTO with public holidays additional Private health Pension Wellness benefits Breakfast Mondays Diversity & Equal Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
08/05/2026
Full time
About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralizes global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the Role As Senior/Lead ML Engineer (Recommendations), you will own the intelligence behind what Swap's AI Storefront shows to every shopper. This is a deeply technical, hands on role at the intersection of recommendation systems, LLMs, and fashion understanding. You'll build the models and pipelines that power style aware product recommendations, outfit generation, and personalised discovery, working end to end from research and prototyping through to production systems serving real customers. You'll work closely with our conversational AI layer, which extracts rich preference signals through dialogue, and find ways to combine that with traditional e commerce behavioural data and LLM based world knowledge to bootstrap and refine recommendations, including solving cold start problems in novel ways. You'll set a high technical bar for ML engineering within the recommendations space at Swap, and as we scale, you'll play a key role in how this area of the team evolves. Key Responsibilities Own the end-to-end ML lifecycle for recommendation and personalisation systems, from problem framing and data exploration through to deployment, evaluation, and iteration. Design, build, and productionise models for style aware recommendations, including item pairing, outfit generation, preference matching, and personalised discovery. Develop approaches that combine conversational preference extraction (from our memory layer) with traditional behavioural signals and LLM based world knowledge to power high quality recommendations, particularly in cold start and sparse data scenarios. Build and optimise the feature pipelines and serving infrastructure that power recommendations at scale, working closely with engineering. Define and champion best practices for offline and online evaluation of recommendation quality, including metrics for relevance, diversity, novelty, and style coherence. Collaborate closely with product, AI engineering, and design to shape how recommendations surface across the AI Storefront, from conversational flows to visual discovery experiences. Explore and integrate signals from social media content and visual style to enrich user taste profiles and improve recommendation relevance. Act as a senior technical reference point for recommendation and personalisation engineering at Swap, helping to set standards, review critical work, and guide teammates. What We Would Like to See Significant experience (typically 5+ years) in ML engineering or applied machine learning roles, with clear ownership of production recommendation or personalisation systems that drove meaningful business outcomes. Strong hands on skills in Python and relevant ML/deep learning frameworks (e.g. PyTorch, TensorFlow), plus solid software engineering practices (testing, version control, code review, CI/CD). Proven track record building recommendation systems, with practical experience in techniques such as collaborative filtering, content based methods, embedding models, sequence models, or graph based approaches. Experience with LLMs and a practical understanding of how to leverage them within recommendation pipelines, whether for feature enrichment, preference understanding, knowledge bootstrapping, or hybrid retrieval approaches. Comfort working with fashion, style, or visual domains is a strong plus, particularly experience with visual embeddings, multimodal models, or taste/preference modelling. Practical experience deploying and iterating on ML systems in production (model serving, monitoring, retraining strategies, working with APIs and microservices). Benefits Competitive base salary Stock options in a high growth startup Competitive PTO with public holidays additional Private health Pension Wellness benefits Breakfast Mondays Diversity & Equal Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
Principal Data Scientist page is loaded Principal Data Scientistremote type: Hybridlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R What You'll Do Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting. Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment. Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights. Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization. Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products. Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience in gaming or digital entertainment is a strong plus. Why Product Madness As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don't just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the 'Employer of the Year - Media and Entertainment' category. Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
07/05/2026
Full time
Principal Data Scientist page is loaded Principal Data Scientistremote type: Hybridlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R What You'll Do Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting. Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment. Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights. Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization. Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products. Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience in gaming or digital entertainment is a strong plus. Why Product Madness As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don't just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the 'Employer of the Year - Media and Entertainment' category. Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Hey, we're Plum, your smart saving and investing app on a mission to help grow money for life. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI - that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey! About the Role We are looking for an exceptional Lead/Staff Data Analyst, who is excited about Plum's mission, to join as a company-wide analytics leader. You will help expand the value we deliver across Plum through defining data standards, championing best experimentation practices, and driving data-informed decision making across teams. What you'll be doing You will define and evolve Plum's analytics strategy, including ownership of core metrics, experimentation standards, and measurement frameworks across the company. You will mentor and guide Data Analysts embedded in product squads, helping raise the quality and impact of their work, while partnering closely with the Data Platform and Machine Learning teams. You will lead high-impact, cross-functional projects (e.g. growth, retention, monetisation, or product optimisation), from problem definition through to insight and recommendation. You will regularly partner with senior leadership across product, engineering, design, finance, marketing and ops to influence decisions with data and shape product and business strategy. What we're looking for You have 7+ years in a quantitative role, with deep experience in A/B testing, causal inference, and translating data into business impact, and you are comfortable working with tools like SQL, dbt, and Python. You are an experienced mentor, raising the bar for analytics through best practices, frameworks, and standards. You are excited about working on ambiguous problems in a fast-paced environment. You are able to connect data to product and business strategy, uncovering actionable insights about our customers. Plum Perks We own part of the company through stock options. Private health insurance. Annual training budget. Plum Premium. Referral scheme: earn competitive rewards. Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus. Team breakfasts and lunches. 25 days holiday + bank holidays. 45 work-from-anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave. 1 paid volunteering day annually. Annual team trip to a surprise destination. A fun, inclusive company culture. Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.
07/05/2026
Full time
Hey, we're Plum, your smart saving and investing app on a mission to help grow money for life. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI - that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey! About the Role We are looking for an exceptional Lead/Staff Data Analyst, who is excited about Plum's mission, to join as a company-wide analytics leader. You will help expand the value we deliver across Plum through defining data standards, championing best experimentation practices, and driving data-informed decision making across teams. What you'll be doing You will define and evolve Plum's analytics strategy, including ownership of core metrics, experimentation standards, and measurement frameworks across the company. You will mentor and guide Data Analysts embedded in product squads, helping raise the quality and impact of their work, while partnering closely with the Data Platform and Machine Learning teams. You will lead high-impact, cross-functional projects (e.g. growth, retention, monetisation, or product optimisation), from problem definition through to insight and recommendation. You will regularly partner with senior leadership across product, engineering, design, finance, marketing and ops to influence decisions with data and shape product and business strategy. What we're looking for You have 7+ years in a quantitative role, with deep experience in A/B testing, causal inference, and translating data into business impact, and you are comfortable working with tools like SQL, dbt, and Python. You are an experienced mentor, raising the bar for analytics through best practices, frameworks, and standards. You are excited about working on ambiguous problems in a fast-paced environment. You are able to connect data to product and business strategy, uncovering actionable insights about our customers. Plum Perks We own part of the company through stock options. Private health insurance. Annual training budget. Plum Premium. Referral scheme: earn competitive rewards. Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus. Team breakfasts and lunches. 25 days holiday + bank holidays. 45 work-from-anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave. 1 paid volunteering day annually. Annual team trip to a surprise destination. A fun, inclusive company culture. Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.
Hey, we're Plum, your smart saving and investing app on a mission to help grow money for life. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI - that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey! About the Role We are looking for an exceptional Lead/Staff Data Analyst, who is excited about Plum's mission, to join as a company-wide analytics leader. You will help expand the value we deliver across Plum through defining data standards, championing best experimentation practices, and driving data-informed decision making across teams. What you'll be doing You will define and evolve Plum's analytics strategy, including ownership of core metrics, experimentation standards, and measurement frameworks across the company. You will mentor and guide Data Analysts embedded in product squads, helping raise the quality and impact of their work, while partnering closely with the Data Platform and Machine Learning teams. You will lead high-impact, cross-functional projects (e.g. growth, retention, monetisation, or product optimisation), from problem definition through to insight and recommendation. You will regularly partner with senior leadership across product, engineering, design, finance, marketing and ops to influence decisions with data and shape product and business strategy. What we're looking for You have 7+ years in a quantitative role, with deep experience in A/B testing, causal inference, and translating data into business impact, and you are comfortable working with tools like SQL, dbt, and Python. You are an experienced mentor, raising the bar for analytics through best practices, frameworks, and standards. You are excited about working on ambiguous problems in a fast-paced environment. You are able to connect data to product and business strategy, uncovering actionable insights about our customers. Plum Perks We own part of the company through stock options. Private health insurance. Annual training budget. Plum Premium. Referral scheme: earn competitive rewards. Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus. Team breakfasts and lunches. 25 days holiday + bank holidays. 45 work-from-anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave. 1 paid volunteering day annually. Annual team trip to a surprise destination. A fun, inclusive company culture. Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.
07/05/2026
Full time
Hey, we're Plum, your smart saving and investing app on a mission to help grow money for life. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI - that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey! About the Role We are looking for an exceptional Lead/Staff Data Analyst, who is excited about Plum's mission, to join as a company-wide analytics leader. You will help expand the value we deliver across Plum through defining data standards, championing best experimentation practices, and driving data-informed decision making across teams. What you'll be doing You will define and evolve Plum's analytics strategy, including ownership of core metrics, experimentation standards, and measurement frameworks across the company. You will mentor and guide Data Analysts embedded in product squads, helping raise the quality and impact of their work, while partnering closely with the Data Platform and Machine Learning teams. You will lead high-impact, cross-functional projects (e.g. growth, retention, monetisation, or product optimisation), from problem definition through to insight and recommendation. You will regularly partner with senior leadership across product, engineering, design, finance, marketing and ops to influence decisions with data and shape product and business strategy. What we're looking for You have 7+ years in a quantitative role, with deep experience in A/B testing, causal inference, and translating data into business impact, and you are comfortable working with tools like SQL, dbt, and Python. You are an experienced mentor, raising the bar for analytics through best practices, frameworks, and standards. You are excited about working on ambiguous problems in a fast-paced environment. You are able to connect data to product and business strategy, uncovering actionable insights about our customers. Plum Perks We own part of the company through stock options. Private health insurance. Annual training budget. Plum Premium. Referral scheme: earn competitive rewards. Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus. Team breakfasts and lunches. 25 days holiday + bank holidays. 45 work-from-anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave. 1 paid volunteering day annually. Annual team trip to a surprise destination. A fun, inclusive company culture. Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
07/05/2026
Full time
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
