At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI first, cloud native approach delivers real time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Key Responsibilities Lead the design and execution of data science projects that solve complex business problems across critical workflows. Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning. Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities. Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM based analytics, simulation modeling, RAG for knowledge discovery). Collaborate with ML engineers to scale prototypes into production ready systems, ensuring reliability, fairness, and generalizability. Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact. Communicate findings through compelling data storytelling, dashboards, and executive level presentations. Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations. Mentor and guide other data scientists, fostering technical excellence, innovation, and collaboration across the team. Qualifications 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact. Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling. Experience leading end to end data science projects from ideation to delivery, including business scoping and stakeholder management. Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. Hands on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly). Familiarity with cloud based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus. Exceptional ability to translate technical results into clear, actionable insights for senior executives and non technical audiences. Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Qualifications Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data driven insights within enterprise scale environments. PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA). Recognized contributions to the open source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks). Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups. Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI. Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus. Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for some of the most sophisticated financial entities. Competitive compensation, benefits, future equity options, and leadership opportunities. This is a hybrid position based in the United Kingdom. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Dec 16, 2025
Full time
At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI first, cloud native approach delivers real time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Key Responsibilities Lead the design and execution of data science projects that solve complex business problems across critical workflows. Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning. Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities. Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM based analytics, simulation modeling, RAG for knowledge discovery). Collaborate with ML engineers to scale prototypes into production ready systems, ensuring reliability, fairness, and generalizability. Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact. Communicate findings through compelling data storytelling, dashboards, and executive level presentations. Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations. Mentor and guide other data scientists, fostering technical excellence, innovation, and collaboration across the team. Qualifications 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact. Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling. Experience leading end to end data science projects from ideation to delivery, including business scoping and stakeholder management. Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. Hands on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly). Familiarity with cloud based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus. Exceptional ability to translate technical results into clear, actionable insights for senior executives and non technical audiences. Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Qualifications Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data driven insights within enterprise scale environments. PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA). Recognized contributions to the open source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks). Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups. Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI. Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus. Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for some of the most sophisticated financial entities. Competitive compensation, benefits, future equity options, and leadership opportunities. This is a hybrid position based in the United Kingdom. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Senior Data & AI Architect, AWS Professional Services The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs. Providing technical guidance and troubleshooting support throughout project delivery. Collaborating with stakeholders to gather requirements and propose effective migration strategies. Acting as a trusted advisor to customers on industry trends and emerging technologies. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee led and company sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career advancing resources here to help you develop into a better rounded professional. Work/Life Balance We value work life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Centre. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Experience in leading large and complex Data/AI programs for enterprise customers. Deep understanding of building and/or running enterprise grade Data/ AI platforms. This includes working knowledge of ETL, data governance, streaming architectures, Open Table Formats, etc. Proficiency in at least one programming language (e.g., Python, Java, Scala, etc.) plus SQL. CI/CD experience and working knowledge of API development. Ability to lead technical teams and facilitating discussions regarding technical/architectural trade offs, best practices and risk mitigation. This is a hands on leadership role. Bachelor's degree in Computer Science, Engineering, Maths or related field with 5+ years experience. Full stack development experience e.g. React/Angular and integration with backend. AWS experience or working knowledge of AWS partner solutions like Databricks or Snowflake. Expertise of implementing GenAI in production including LLMs, RAG architectures, vector databases. Experience with automation and scripting (e.g., Terraform, Python). Knowledge of security and compliance standards (e.g., HIPAA, GDPR). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit our accommodations page for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Dec 16, 2025
Full time
Senior Data & AI Architect, AWS Professional Services The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs. Providing technical guidance and troubleshooting support throughout project delivery. Collaborating with stakeholders to gather requirements and propose effective migration strategies. Acting as a trusted advisor to customers on industry trends and emerging technologies. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee led and company sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career advancing resources here to help you develop into a better rounded professional. Work/Life Balance We value work life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Centre. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Experience in leading large and complex Data/AI programs for enterprise customers. Deep understanding of building and/or running enterprise grade Data/ AI platforms. This includes working knowledge of ETL, data governance, streaming architectures, Open Table Formats, etc. Proficiency in at least one programming language (e.g., Python, Java, Scala, etc.) plus SQL. CI/CD experience and working knowledge of API development. Ability to lead technical teams and facilitating discussions regarding technical/architectural trade offs, best practices and risk mitigation. This is a hands on leadership role. Bachelor's degree in Computer Science, Engineering, Maths or related field with 5+ years experience. Full stack development experience e.g. React/Angular and integration with backend. AWS experience or working knowledge of AWS partner solutions like Databricks or Snowflake. Expertise of implementing GenAI in production including LLMs, RAG architectures, vector databases. Experience with automation and scripting (e.g., Terraform, Python). Knowledge of security and compliance standards (e.g., HIPAA, GDPR). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit our accommodations page for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Overview Senior Software Engineer - Infrastructure Job ID: EV3090 Location: London - The River Building HQ Permanent Ready to apply? Get started with your online application. Not quite your dream role? Sign up to be notified when the right vacancy comes along. The Team At Deliveroo we're striving to build one of the world's best engineering organisations. We're dedicated to building a collaborative and supportive culture. We set goals and objectives. We empower our engineers to find solutions to problems at great scale. We trust them to use their time wisely. Our teams solve unique and difficult problems at scale in an energetic and fast-paced environment. We're growing quickly and need experienced engineers to help us scale. We're looking for software engineers who can have a transformative influence on the way we build, operate and run our database infrastructure. What will you do? Design and build the systems automation required to allow Deliveroo to manage and operate our large-scale cloud database estate. Work closely with DBAs to gain expertise in database engineering practices and technologies. Develop best practices, tools, and libraries to make the AWS database ecosystem easier to use and more reliable for product teams. Technical Execution You will improve code structure and architecture and review code within your team. Lead team project planning, foresee dependencies and risks, and partner with other disciplines (e.g. PM, product engineers). Aim to simplify the maintenance and operation of production systems, promote visibility, operational readiness, and health of your team's systems. Build relationships with other engineering teams and identify collaboration opportunities. Break down large pieces of work, guide design and technical decisions, and influence the roadmap within your team. Take an active role in hiring and conducting engineering interviews, and support the personal growth of colleagues. We don't expect you to meet all of the items below, but experience in some areas is desirable: Pride in readable, well-designed, well-tested software; Familiarity with relational and NoSQL databases (e.g., PostgreSQL, DynamoDB, Redis); Strong background in software engineering, preferably Go and/or Python; Practical experience in cloud engineering, preferably AWS. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are a technology-driven company at the forefront of a rapidly expanding industry. We move fast, value autonomy and ownership, and we welcome new ideas. We prioritise our people and offer benefits in areas including healthcare, wellbeing, parental leave, pensions, and generous annual leave allowances. Benefits are country-specific; please ask your recruiter for details. Diversity Deliveroo believes a great workplace represents the world we live in. We have no judgement about who you are-your gender, race, sexuality, religion or any other characteristic. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses. We are committed to diversity, equity and inclusion in all aspects of our hiring process and will make adjustments to apply or interview if needed. A competitive and comprehensive compensation and benefits package. Compensation We aim to pay every employee competitively for the role they perform in their location Depending on role and location, some employees may be eligible for an annual cash bonus, sign-on bonus or relocation support Up to 5% matched pension contributions Equity Some roles may be eligible for share awards Food Free Deliveroo Plus: free delivery and access to special offers Team lunches from the best local restaurants Time away 25 days annual leave plus bank holidays, increasing with length of service One day of paid leave per year to volunteer with a registered charity Health & Wellness Funded single cover healthcare on our core plan, with the option to add family members at own cost On-site gym (HQ), discounted external gym membership Wellbeing apps via GymPass (LesMills+, Strava, Headspace, Yogaia) Discounted dental insurance and other flexible benefits such as critical illness cover, partner life cover, travel insurance, health assessments Life assurance Work Life Maternity, paternity, and shared parental leave from day one Kit for working from home and a parent-friendly culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans Learning and development opportunities via RooLearn Regular Employee Resource Group (ERG) events
Dec 16, 2025
Full time
Overview Senior Software Engineer - Infrastructure Job ID: EV3090 Location: London - The River Building HQ Permanent Ready to apply? Get started with your online application. Not quite your dream role? Sign up to be notified when the right vacancy comes along. The Team At Deliveroo we're striving to build one of the world's best engineering organisations. We're dedicated to building a collaborative and supportive culture. We set goals and objectives. We empower our engineers to find solutions to problems at great scale. We trust them to use their time wisely. Our teams solve unique and difficult problems at scale in an energetic and fast-paced environment. We're growing quickly and need experienced engineers to help us scale. We're looking for software engineers who can have a transformative influence on the way we build, operate and run our database infrastructure. What will you do? Design and build the systems automation required to allow Deliveroo to manage and operate our large-scale cloud database estate. Work closely with DBAs to gain expertise in database engineering practices and technologies. Develop best practices, tools, and libraries to make the AWS database ecosystem easier to use and more reliable for product teams. Technical Execution You will improve code structure and architecture and review code within your team. Lead team project planning, foresee dependencies and risks, and partner with other disciplines (e.g. PM, product engineers). Aim to simplify the maintenance and operation of production systems, promote visibility, operational readiness, and health of your team's systems. Build relationships with other engineering teams and identify collaboration opportunities. Break down large pieces of work, guide design and technical decisions, and influence the roadmap within your team. Take an active role in hiring and conducting engineering interviews, and support the personal growth of colleagues. We don't expect you to meet all of the items below, but experience in some areas is desirable: Pride in readable, well-designed, well-tested software; Familiarity with relational and NoSQL databases (e.g., PostgreSQL, DynamoDB, Redis); Strong background in software engineering, preferably Go and/or Python; Practical experience in cloud engineering, preferably AWS. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are a technology-driven company at the forefront of a rapidly expanding industry. We move fast, value autonomy and ownership, and we welcome new ideas. We prioritise our people and offer benefits in areas including healthcare, wellbeing, parental leave, pensions, and generous annual leave allowances. Benefits are country-specific; please ask your recruiter for details. Diversity Deliveroo believes a great workplace represents the world we live in. We have no judgement about who you are-your gender, race, sexuality, religion or any other characteristic. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses. We are committed to diversity, equity and inclusion in all aspects of our hiring process and will make adjustments to apply or interview if needed. A competitive and comprehensive compensation and benefits package. Compensation We aim to pay every employee competitively for the role they perform in their location Depending on role and location, some employees may be eligible for an annual cash bonus, sign-on bonus or relocation support Up to 5% matched pension contributions Equity Some roles may be eligible for share awards Food Free Deliveroo Plus: free delivery and access to special offers Team lunches from the best local restaurants Time away 25 days annual leave plus bank holidays, increasing with length of service One day of paid leave per year to volunteer with a registered charity Health & Wellness Funded single cover healthcare on our core plan, with the option to add family members at own cost On-site gym (HQ), discounted external gym membership Wellbeing apps via GymPass (LesMills+, Strava, Headspace, Yogaia) Discounted dental insurance and other flexible benefits such as critical illness cover, partner life cover, travel insurance, health assessments Life assurance Work Life Maternity, paternity, and shared parental leave from day one Kit for working from home and a parent-friendly culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans Learning and development opportunities via RooLearn Regular Employee Resource Group (ERG) events
We're looking for a full-stack Senior Engineer to join our Recontact team. Recontact studies allow researchers to invite participants into further studies, making them a core part of Our Future Health's mission to accelerate health research. This is a chance to work in a small, growing team where you'll contribute both to early design and hands-on delivery. You'll help shape and build the systems that enable Recontact, making pragmatic decisions about what to develop, when to reuse, and how to integrate with existing platforms. The work will involve developing cohort selection capabilities, creating participant-facing flows for consent and engagement, and designing secure, auditable systems that manage sensitive health data with trust and transparency. It will also include implementing mechanisms for invitations and communications at scale, as well as supporting experimentation to understand what drives participant engagement. The role combines practical engineering with opportunities to influence how Recontact evolves, ensuring we deliver value quickly while laying the foundations for scalable solutions in the future. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. Requirements Technical skills Knowledge and experience of building cloud-hosted backend services using open source technologies in a start-up or scale-up environment, ideally using Python, though equivalent experience is welcome. Knowledge and experience of building backend systems for data movement, processing and storage and provision of services for allowing access to data by non-technical users. Prior experience with Azure (ideally), AWS or GCP. Comfortable working with Infrastructure as Code, ideally with knowledge of Terraform, and familiar with containerisation (Kubernetes, Docker). Knowledge of good data modelling and design patterns; in-depth knowledge of relational databases (e.g. PostgreSQL) and familiarity with other types of data store (blob, document, graph). Good experience in using modern, agile development practices like code review, TDD, CI/CD and pairing using tools like Git and GitHub. Experience of operationally managing software components once live, including; observability, logging, metrics, error reporting, debugging and live incident management. Experience of working with sensitive personal data, ideally with an awareness of security and compliance standards. Experience working in/with cross-functional teams consisting of e.g. engineers, product, UX and non-technical stakeholders. Ability to communicate with stakeholders and audiences at different levels, translating technical concepts into practical implications. Experience working in small, growing organisations with a high degree of ambiguity, where flexibility is valued. Strong understanding of software quality principles and practices. Comfortable providing mentorship and technical guidance to less experienced engineers. Comfortable facilitating technical discussions, encouraging collaboration, and helping the team converge on sound decisions. Competitive salary starting from £85,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12%. 30 Days Holiday + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you. Enhanced Parental Leave - Supporting you during life's biggest moments. Career Growth & Development - £500 per year to spend on Learnerbly, our learning platform, plus regular appraisals and development opportunities. Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice. Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family. A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements. Join us - let'sprevent disease together. We advise not delaying your application, as this advert may close early if a high number of applications are received. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at
Dec 16, 2025
Full time
We're looking for a full-stack Senior Engineer to join our Recontact team. Recontact studies allow researchers to invite participants into further studies, making them a core part of Our Future Health's mission to accelerate health research. This is a chance to work in a small, growing team where you'll contribute both to early design and hands-on delivery. You'll help shape and build the systems that enable Recontact, making pragmatic decisions about what to develop, when to reuse, and how to integrate with existing platforms. The work will involve developing cohort selection capabilities, creating participant-facing flows for consent and engagement, and designing secure, auditable systems that manage sensitive health data with trust and transparency. It will also include implementing mechanisms for invitations and communications at scale, as well as supporting experimentation to understand what drives participant engagement. The role combines practical engineering with opportunities to influence how Recontact evolves, ensuring we deliver value quickly while laying the foundations for scalable solutions in the future. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. Requirements Technical skills Knowledge and experience of building cloud-hosted backend services using open source technologies in a start-up or scale-up environment, ideally using Python, though equivalent experience is welcome. Knowledge and experience of building backend systems for data movement, processing and storage and provision of services for allowing access to data by non-technical users. Prior experience with Azure (ideally), AWS or GCP. Comfortable working with Infrastructure as Code, ideally with knowledge of Terraform, and familiar with containerisation (Kubernetes, Docker). Knowledge of good data modelling and design patterns; in-depth knowledge of relational databases (e.g. PostgreSQL) and familiarity with other types of data store (blob, document, graph). Good experience in using modern, agile development practices like code review, TDD, CI/CD and pairing using tools like Git and GitHub. Experience of operationally managing software components once live, including; observability, logging, metrics, error reporting, debugging and live incident management. Experience of working with sensitive personal data, ideally with an awareness of security and compliance standards. Experience working in/with cross-functional teams consisting of e.g. engineers, product, UX and non-technical stakeholders. Ability to communicate with stakeholders and audiences at different levels, translating technical concepts into practical implications. Experience working in small, growing organisations with a high degree of ambiguity, where flexibility is valued. Strong understanding of software quality principles and practices. Comfortable providing mentorship and technical guidance to less experienced engineers. Comfortable facilitating technical discussions, encouraging collaboration, and helping the team converge on sound decisions. Competitive salary starting from £85,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12%. 30 Days Holiday + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you. Enhanced Parental Leave - Supporting you during life's biggest moments. Career Growth & Development - £500 per year to spend on Learnerbly, our learning platform, plus regular appraisals and development opportunities. Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice. Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family. A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements. Join us - let'sprevent disease together. We advise not delaying your application, as this advert may close early if a high number of applications are received. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at
At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI first, cloud native approach delivers real time intelligence and interactive business applications, empowering informed decision making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Machine Learning Engineer, you'll work alongside experienced ML engineers and data scientists to design, build, and scale machine learning systems that deliver real business value. Reporting to the Executive Director of ML Engineering, you'll gain hands on experience developing production grade pipelines, monitoring frameworks, and scalable ML applications that support mission critical business functions. This is a high growth opportunity for someone with early industry experience (or strong academic grounding) in machine learning engineering, eager to deepen their expertise in production systems and MLOps while growing within a dynamic AI team operating at the frontier of applied ML. Key Responsibilities Contribute to the design, development, and deployment of ML models and pipelines across business critical domains such as financial services and insurance. Support production efforts, including model packaging, integration, CI/CD deployment, and monitoring for performance, drift, and reliability. Collaborate with senior engineers to build internal ML engineering tools and infrastructure that improve training, testing, and observability workflows. Partner with Data Scientists to operationalize prototype models, ensuring they are scalable, robust, and cost efficient in production. Work with large scale datasets to enable feature engineering, transformation, and quality assurance within ML pipelines. Implement monitoring dashboards, alerts, and diagnostics for model health and system performance. Contribute to documentation, governance, and reproducibility practices, supporting compliance in regulated environments. Qualifications 5+ years of experience building and deploying machine learning models in production environments, with exposure to monitoring and diagnostics. Solid understanding of machine learning engineering fundamentals (pipelines, deployment, monitoring) and familiarity with data science workflows. Experience with MLOps tools such as MLflow, Weights & Biases, or equivalent. Exposure to observability/monitoring systems (Prometheus, Grafana, ELK, Datadog) is a plus. Proficiency in Python and familiarity with ML libraries (scikit learn, XGBoost, TensorFlow, PyTorch). Strong experience with data manipulation and pipelines using Pandas, NumPy, and SQL. Knowledge of containerized deployments (Docker, Kubernetes) and cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML) preferred. Excellent problem solving skills, eagerness to learn, and ability to thrive in a fast paced, evolving environment. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field. Strong written and verbal communication skills, with the ability to explain technical details to both technical and business stakeholders. Preferred experience Hands on experience with Palantir platforms (Foundry, AIP, Ontology), including deploying and integrating ML solutions in enterprise ecosystems. Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM engineering workflows. Exposure to graph databases (Neo4j, TigerGraph) and their application in AI/ML systems. Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for some of the most sophisticated financial entities. Competitive compensation, benefits, future equity options, and leadership opportunities. This is a hybrid position based in the United Kingdom. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Dec 16, 2025
Full time
At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI first, cloud native approach delivers real time intelligence and interactive business applications, empowering informed decision making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Machine Learning Engineer, you'll work alongside experienced ML engineers and data scientists to design, build, and scale machine learning systems that deliver real business value. Reporting to the Executive Director of ML Engineering, you'll gain hands on experience developing production grade pipelines, monitoring frameworks, and scalable ML applications that support mission critical business functions. This is a high growth opportunity for someone with early industry experience (or strong academic grounding) in machine learning engineering, eager to deepen their expertise in production systems and MLOps while growing within a dynamic AI team operating at the frontier of applied ML. Key Responsibilities Contribute to the design, development, and deployment of ML models and pipelines across business critical domains such as financial services and insurance. Support production efforts, including model packaging, integration, CI/CD deployment, and monitoring for performance, drift, and reliability. Collaborate with senior engineers to build internal ML engineering tools and infrastructure that improve training, testing, and observability workflows. Partner with Data Scientists to operationalize prototype models, ensuring they are scalable, robust, and cost efficient in production. Work with large scale datasets to enable feature engineering, transformation, and quality assurance within ML pipelines. Implement monitoring dashboards, alerts, and diagnostics for model health and system performance. Contribute to documentation, governance, and reproducibility practices, supporting compliance in regulated environments. Qualifications 5+ years of experience building and deploying machine learning models in production environments, with exposure to monitoring and diagnostics. Solid understanding of machine learning engineering fundamentals (pipelines, deployment, monitoring) and familiarity with data science workflows. Experience with MLOps tools such as MLflow, Weights & Biases, or equivalent. Exposure to observability/monitoring systems (Prometheus, Grafana, ELK, Datadog) is a plus. Proficiency in Python and familiarity with ML libraries (scikit learn, XGBoost, TensorFlow, PyTorch). Strong experience with data manipulation and pipelines using Pandas, NumPy, and SQL. Knowledge of containerized deployments (Docker, Kubernetes) and cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML) preferred. Excellent problem solving skills, eagerness to learn, and ability to thrive in a fast paced, evolving environment. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field. Strong written and verbal communication skills, with the ability to explain technical details to both technical and business stakeholders. Preferred experience Hands on experience with Palantir platforms (Foundry, AIP, Ontology), including deploying and integrating ML solutions in enterprise ecosystems. Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM engineering workflows. Exposure to graph databases (Neo4j, TigerGraph) and their application in AI/ML systems. Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for some of the most sophisticated financial entities. Competitive compensation, benefits, future equity options, and leadership opportunities. This is a hybrid position based in the United Kingdom. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Who Are We? Smarkets is transforming the betting exchange space by delivering world-class technology and the best-priced markets in the industry. With over £29 billion in traded volume since 2010, we've built a product-led, transparent, and fair platform that challenges the norms of traditional betting. As a Series B tech company, we pride ourselves on engineering excellence, lean product thinking, and scientific rigor. With a close-knit team and a passion for innovation, Smarkets is where top talent comes to make a real impact. Now, we're looking for a DevOps Engineer to help scale our infrastructure and empower our developers with streamlined, self-service tooling and operational excellence. About the Role You'll join the Cloud Infrastructure Team, responsible for real-time distributed systems that power our trading engine-As a pivotal team member, you'll craft and maintain scalable, secure, and high-performance cloud-based systems-while building the platforms that empower our developers to move fast, deploy confidently, and scale effortlessly. You won't just be building cloud infrastructure-you'll be crafting a highly autonomous environment where ownership is expected, experimentation is encouraged, and innovation is embedded into everything we do. You'll shape the foundation of our cloud-native stack, blending visionary infrastructure architecture with the practical realities of a high-growth, high-scale environment. This is a role where infrastructure meets engineering productivity: part DevOps, part Platform, 100% mission-critical. What You'll Do Design and Own Infrastructure: Architect and maintain robust, cost-effective, and secure infrastructure on AWS using Terraform, Kubernetes, and cloud-native best practices. Champion Platform Engineering: Build and evolve the internal developer platform (IDP) that empowers engineers to self-serve infrastructure, CI/CD, observability, and security tooling. Debug Production Systems: Triage issues across layers of the stack-Kubernetes, cloud services, networking, applications, data pipelines-and drive root cause analysis and resolution. Drive DevOps Practices: Implement infrastructure as code (IaC), observability, alerting, and environment provisioning to support engineering teams and production systems. Promote Engineering Excellence: Establish and uphold standards and best practices across infrastructure, operations, and software delivery. Scale Microservices Architecture: Lead the buildout of resilient Kubernetes-based microservices across environments, optimizing for cost, performance, and security. Own Security & Compliance: Take point on security posture and audits (SOC 2, ISO 27001), ensuring our platforms meet rigorous compliance and operational standards. System Reliability: Optimize performance and availability for high-throughput, low-latency services that power the betting exchange. Be a Force Multiplier: Mentor other engineers, drive cross-team alignment, and lead initiatives with broad technical and business impact. Your Toolkit Cloud & Infrastructure: Deep experience with AWS (EKS, VPC, EC2, S3, IAM, RDS), Terraform (IaC), and Linux systems. Containers & Orchestration: Kubernetes expertise, including Helm, ingress configuration, scaling strategies, and security hardening. Scripting & Automation: Strong skills in Python and Bash; automation is your second nature. Networking & Security: Proficiency in VPNs, VPC peering, DNS, TLS, and identity management (OIDC/SAML). Observability & Operations: Experience with Grafana, Prometheus, ELK stack, Sentry, and building robust monitoring/alerting pipelines. Developer Platform Tools: Hands-on with GitLab CI/CD, Jenkins, Backstage, or similar IDP tooling to build cohesive internal platforms. Data Infrastructure: Experience supporting PostgreSQL, Redis, Kafka, and object storage like S3 in production environments. Process & Compliance: Familiarity with security frameworks, incident response, RBAC/least privilege models, and compliance workflows. Bonus if you have Experience with platform engineering concepts like golden paths, self-service portals, or PaaS-style abstractions. Built or contributed to developer enablement or SRE tooling platforms. Prior experience scaling platform infrastructure in a fast-growing startup environment. What You Bring 6+ years in cloud infrastructure, DevOps, or platform engineering roles. Proven ability to balance long-term vision with short-term execution. A collaborative spirit that uplifts others and fosters strong technical culture. Passion for reliability, scalability, and simplicity in infrastructure. Our Values Push to win Make others better Give a shit Be a pro Bring the energy Our values are at the heart of everything that we do. We believe these are the fundamentals to ensure we are delivering what's expected of us in the best way possible for ourselves and for those around us. Benefits We offer a competitive salary package and benefits, along with a dynamic and collaborative work environment. Your work with us will make an impact and your voice will be heard. We are a diverse team with a strong work ethic and plenty of hunger to win. We have designed our benefits offering around Health, Wealth, Lifestyle and Development. These include: Stock options which vests over 4 years Pension scheme - an impressive pension scheme via Aviva. We will match 6% if you choose the same Health insurance Fresh fruit and snacks provided in the office everyday! (tea, coffee and soft drinks also included) We're a member of a cycle to work scheme We want to continue to invest in all our employees and do so by providing a £1000 yearly education budget that can be used on courses, conferences, books or training 25 days paid holiday + bank holidays to enjoy - you have the choice to carry over 5 days to the next year! Flexible working - we want to provide a hybrid model approach to working and provide you with 2 days a week working from home 20 days a year of global working - we provide the ability to work from anywhere in the world for up to 20 days a year We will provide you lunch everyday in the office - you don't need to worry about what to make or buy for lunch as we have it sorted with top quality food served by our in-house chef Alex! Please note: During your 3-month probation period, you will be required to work from the office 5 days a week. What happens next We aim to have a simple and speedy hiring process and we want to make sure that we are right for you as much as the other way around. CV application review - We will review it as quickly as possible Let's chat - Quick chat with our team about your experience and the role Technical Interview - Live Technical Interview + System Design Interview In Office Interview - Experience & Mindset + Lunch with other colleagues in the team + LT Chat
Dec 16, 2025
Full time
Who Are We? Smarkets is transforming the betting exchange space by delivering world-class technology and the best-priced markets in the industry. With over £29 billion in traded volume since 2010, we've built a product-led, transparent, and fair platform that challenges the norms of traditional betting. As a Series B tech company, we pride ourselves on engineering excellence, lean product thinking, and scientific rigor. With a close-knit team and a passion for innovation, Smarkets is where top talent comes to make a real impact. Now, we're looking for a DevOps Engineer to help scale our infrastructure and empower our developers with streamlined, self-service tooling and operational excellence. About the Role You'll join the Cloud Infrastructure Team, responsible for real-time distributed systems that power our trading engine-As a pivotal team member, you'll craft and maintain scalable, secure, and high-performance cloud-based systems-while building the platforms that empower our developers to move fast, deploy confidently, and scale effortlessly. You won't just be building cloud infrastructure-you'll be crafting a highly autonomous environment where ownership is expected, experimentation is encouraged, and innovation is embedded into everything we do. You'll shape the foundation of our cloud-native stack, blending visionary infrastructure architecture with the practical realities of a high-growth, high-scale environment. This is a role where infrastructure meets engineering productivity: part DevOps, part Platform, 100% mission-critical. What You'll Do Design and Own Infrastructure: Architect and maintain robust, cost-effective, and secure infrastructure on AWS using Terraform, Kubernetes, and cloud-native best practices. Champion Platform Engineering: Build and evolve the internal developer platform (IDP) that empowers engineers to self-serve infrastructure, CI/CD, observability, and security tooling. Debug Production Systems: Triage issues across layers of the stack-Kubernetes, cloud services, networking, applications, data pipelines-and drive root cause analysis and resolution. Drive DevOps Practices: Implement infrastructure as code (IaC), observability, alerting, and environment provisioning to support engineering teams and production systems. Promote Engineering Excellence: Establish and uphold standards and best practices across infrastructure, operations, and software delivery. Scale Microservices Architecture: Lead the buildout of resilient Kubernetes-based microservices across environments, optimizing for cost, performance, and security. Own Security & Compliance: Take point on security posture and audits (SOC 2, ISO 27001), ensuring our platforms meet rigorous compliance and operational standards. System Reliability: Optimize performance and availability for high-throughput, low-latency services that power the betting exchange. Be a Force Multiplier: Mentor other engineers, drive cross-team alignment, and lead initiatives with broad technical and business impact. Your Toolkit Cloud & Infrastructure: Deep experience with AWS (EKS, VPC, EC2, S3, IAM, RDS), Terraform (IaC), and Linux systems. Containers & Orchestration: Kubernetes expertise, including Helm, ingress configuration, scaling strategies, and security hardening. Scripting & Automation: Strong skills in Python and Bash; automation is your second nature. Networking & Security: Proficiency in VPNs, VPC peering, DNS, TLS, and identity management (OIDC/SAML). Observability & Operations: Experience with Grafana, Prometheus, ELK stack, Sentry, and building robust monitoring/alerting pipelines. Developer Platform Tools: Hands-on with GitLab CI/CD, Jenkins, Backstage, or similar IDP tooling to build cohesive internal platforms. Data Infrastructure: Experience supporting PostgreSQL, Redis, Kafka, and object storage like S3 in production environments. Process & Compliance: Familiarity with security frameworks, incident response, RBAC/least privilege models, and compliance workflows. Bonus if you have Experience with platform engineering concepts like golden paths, self-service portals, or PaaS-style abstractions. Built or contributed to developer enablement or SRE tooling platforms. Prior experience scaling platform infrastructure in a fast-growing startup environment. What You Bring 6+ years in cloud infrastructure, DevOps, or platform engineering roles. Proven ability to balance long-term vision with short-term execution. A collaborative spirit that uplifts others and fosters strong technical culture. Passion for reliability, scalability, and simplicity in infrastructure. Our Values Push to win Make others better Give a shit Be a pro Bring the energy Our values are at the heart of everything that we do. We believe these are the fundamentals to ensure we are delivering what's expected of us in the best way possible for ourselves and for those around us. Benefits We offer a competitive salary package and benefits, along with a dynamic and collaborative work environment. Your work with us will make an impact and your voice will be heard. We are a diverse team with a strong work ethic and plenty of hunger to win. We have designed our benefits offering around Health, Wealth, Lifestyle and Development. These include: Stock options which vests over 4 years Pension scheme - an impressive pension scheme via Aviva. We will match 6% if you choose the same Health insurance Fresh fruit and snacks provided in the office everyday! (tea, coffee and soft drinks also included) We're a member of a cycle to work scheme We want to continue to invest in all our employees and do so by providing a £1000 yearly education budget that can be used on courses, conferences, books or training 25 days paid holiday + bank holidays to enjoy - you have the choice to carry over 5 days to the next year! Flexible working - we want to provide a hybrid model approach to working and provide you with 2 days a week working from home 20 days a year of global working - we provide the ability to work from anywhere in the world for up to 20 days a year We will provide you lunch everyday in the office - you don't need to worry about what to make or buy for lunch as we have it sorted with top quality food served by our in-house chef Alex! Please note: During your 3-month probation period, you will be required to work from the office 5 days a week. What happens next We aim to have a simple and speedy hiring process and we want to make sure that we are right for you as much as the other way around. CV application review - We will review it as quickly as possible Let's chat - Quick chat with our team about your experience and the role Technical Interview - Live Technical Interview + System Design Interview In Office Interview - Experience & Mindset + Lunch with other colleagues in the team + LT Chat
Director, International MROI Data Science Lead ROLE SUMMARY Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains together through data and analytics? Pfizer is seeking a senior leader in Data Science to build and lead a best-in-class team focused on Marketing Mix Modeling (MMM) within commercial analytics. This role is responsible for hands-on development and deployment of MMM solutions, driving actionable insights for marketing optimization and ROI. The ideal candidate combines deep technical expertise in MMM with a consulting background, enabling strategic influence across multiple markets and business units. You will collaborate cross-functionally to empower data-driven decision-making, accelerate marketing transformation, and deliver measurable business impact. ROLE RESPONSIBILITIES This role is accountable for delivering data science driven insights & solutions and will partner with senior functional leads for across Commercial analytics to develop and implement models, insights, and data products that drive brands strategic priorities. Lead end to end design, implementation, and refinement of marketing mix models to measure and optimize the effectiveness of marketing channels and tactics (DTC, HCP paid media, emerging platforms). Lead the evolution of analytics methods and processes for Promotion Impact Analytics, Resource Allocation & Optimization at the enterprise level via both technology and process enhancements Build, validate, and deploy econometric and machine learning models (regression, time series, Bayesian, causal inference) for marketing ROI analysis and budget allocation. Partner with marketing, media, agnecies and commercial teams to evaluate campaign performance, forecast outcomes, and recommend strategic investments. Develop and oversee A/B tests, incrementality studies, and causal inference approaches to validate marketing impact. Ensure robust data pipelines, data quality, and governance for marketing analytics datasets. Lead cross functional team of data scientists & data engineers fostering innovation, technical excellence, and continuous learning. Present insights and recommendations to senior stakeholders in clear, actionable formats. Drive adoption of advanced MMM methodologies, including ad-stock, saturation, and response curve modeling. Stay abreast of latest MMM tools, platforms, and industry best practices. Preferred: Experience in consulting, with a proven track record of delivering MMM projects for clients in diverse industries. BASIC QUALIFICATIONS Extensive relevant experience in data science/advanced analytics, including proven time in managerial roles. Significant Hands-on expertise in Marketing Mix Modeling, including regression analysis, time series, Bayesian methods, and causal inference. Experience with open-source MMM frameworks (e.g., LightweightMMM, Robyn, PyMC-based models) Exposure to agent-based media planning, causal ML Experience leading teams or mentoring junior analysts STEM (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis Statistics, Computer Science, Operations Research, Economics, Engineering etc. Industry or consulting experience, along with project management skills strongly preferred Technical Skills Proficient in Python and/or R, with solid understanding of advanced statistics Strong hands-on experience in MMM development & deployment Experience with Bayesian and classical econometric techniques (e.g., hierarchical models, regression, adstock, saturation, priors design) Familiarity with incrementality testing, experimental design, causal inference Ability to build, validate, and maintain scalable MMM pipelines Knowledge of cloud environments (AWS/GCP/Azure), SQL, and data engineering workflows Experience integrating MMM outputs with business dashboards Business & Domain Skills Proven ability to translate data insights into commercial recommendations Understanding of marketing channels, media planning, campaign measurement Knowledge of pharma markets, HCP/DTP promotion strategy, and compliance Ability to partner with marketing, finance, brand teams to influence decisions Experience presenting to C-suite and senior leadership Responsibilities Lead development and enhancement of MMM models for multiple brands/markets Design and maintain ROI optimization frameworks & budget allocation scenarios Combine MMM with experimentation, digital attribution & forecasting Own MMM roadmap, vendor management Build insights playbooks and support annual brand planning & investment decisions NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Up to 15% Work Location Assignment:Hybrid. The closing deadline for applications is January 4th 2026. All applicants must have the relevant authorisation to live and work in the UK / EU as applicable. Purpose Breakthroughs that change patients' lives At Pfizer we are apatient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. Digital Transformation Strategy One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience. Flexibility We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.Lets start the conversation! Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees. DisAbility Confident We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here! Marketing and Market Research JBRP1_UKTJ
Dec 16, 2025
Full time
Director, International MROI Data Science Lead ROLE SUMMARY Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains together through data and analytics? Pfizer is seeking a senior leader in Data Science to build and lead a best-in-class team focused on Marketing Mix Modeling (MMM) within commercial analytics. This role is responsible for hands-on development and deployment of MMM solutions, driving actionable insights for marketing optimization and ROI. The ideal candidate combines deep technical expertise in MMM with a consulting background, enabling strategic influence across multiple markets and business units. You will collaborate cross-functionally to empower data-driven decision-making, accelerate marketing transformation, and deliver measurable business impact. ROLE RESPONSIBILITIES This role is accountable for delivering data science driven insights & solutions and will partner with senior functional leads for across Commercial analytics to develop and implement models, insights, and data products that drive brands strategic priorities. Lead end to end design, implementation, and refinement of marketing mix models to measure and optimize the effectiveness of marketing channels and tactics (DTC, HCP paid media, emerging platforms). Lead the evolution of analytics methods and processes for Promotion Impact Analytics, Resource Allocation & Optimization at the enterprise level via both technology and process enhancements Build, validate, and deploy econometric and machine learning models (regression, time series, Bayesian, causal inference) for marketing ROI analysis and budget allocation. Partner with marketing, media, agnecies and commercial teams to evaluate campaign performance, forecast outcomes, and recommend strategic investments. Develop and oversee A/B tests, incrementality studies, and causal inference approaches to validate marketing impact. Ensure robust data pipelines, data quality, and governance for marketing analytics datasets. Lead cross functional team of data scientists & data engineers fostering innovation, technical excellence, and continuous learning. Present insights and recommendations to senior stakeholders in clear, actionable formats. Drive adoption of advanced MMM methodologies, including ad-stock, saturation, and response curve modeling. Stay abreast of latest MMM tools, platforms, and industry best practices. Preferred: Experience in consulting, with a proven track record of delivering MMM projects for clients in diverse industries. BASIC QUALIFICATIONS Extensive relevant experience in data science/advanced analytics, including proven time in managerial roles. Significant Hands-on expertise in Marketing Mix Modeling, including regression analysis, time series, Bayesian methods, and causal inference. Experience with open-source MMM frameworks (e.g., LightweightMMM, Robyn, PyMC-based models) Exposure to agent-based media planning, causal ML Experience leading teams or mentoring junior analysts STEM (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis Statistics, Computer Science, Operations Research, Economics, Engineering etc. Industry or consulting experience, along with project management skills strongly preferred Technical Skills Proficient in Python and/or R, with solid understanding of advanced statistics Strong hands-on experience in MMM development & deployment Experience with Bayesian and classical econometric techniques (e.g., hierarchical models, regression, adstock, saturation, priors design) Familiarity with incrementality testing, experimental design, causal inference Ability to build, validate, and maintain scalable MMM pipelines Knowledge of cloud environments (AWS/GCP/Azure), SQL, and data engineering workflows Experience integrating MMM outputs with business dashboards Business & Domain Skills Proven ability to translate data insights into commercial recommendations Understanding of marketing channels, media planning, campaign measurement Knowledge of pharma markets, HCP/DTP promotion strategy, and compliance Ability to partner with marketing, finance, brand teams to influence decisions Experience presenting to C-suite and senior leadership Responsibilities Lead development and enhancement of MMM models for multiple brands/markets Design and maintain ROI optimization frameworks & budget allocation scenarios Combine MMM with experimentation, digital attribution & forecasting Own MMM roadmap, vendor management Build insights playbooks and support annual brand planning & investment decisions NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Up to 15% Work Location Assignment:Hybrid. The closing deadline for applications is January 4th 2026. All applicants must have the relevant authorisation to live and work in the UK / EU as applicable. Purpose Breakthroughs that change patients' lives At Pfizer we are apatient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. Digital Transformation Strategy One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience. Flexibility We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.Lets start the conversation! Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees. DisAbility Confident We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here! Marketing and Market Research JBRP1_UKTJ
Currency cloud was acquired by Visa in December 2021. OurSenior SoftwareEngineers are responsible for implementing an industry-leading API that has already processed over 50 billion USD of cross-border transactions for over 5 million end users, and is available to our clients 24x7. But we're not stopping there, and our engineers are at the forefront of taking us forward to meet the demands of even greater scale. Our Realtime Data Platform Team is a newly formed group focused on enabling and supporting real-time data capabilities across the organization. This team provides foundational services such as Apache Kafka, Kafka Connect, Apache Flink, and other streaming technologies, as well as promoting Event-Driven Architecture (EDA) principles that power real-time applications and data flows. As a Tech Lead, you'll own the technical vision for the Realtime Data Platform Team. You will define and drive the architecture for shared services that enable real-time data capabilities across the organization. This is a hands-on leadership role where you'll lead technical strategy, mentor engineers, and ensure alignment with organizational standards. Beyond delivery, you'll influence how other teams adopt event-driven principles and modern streaming practices, acting as a trusted technical authority across domains. Our stack runs on AWS as a set of distributed applications using Kubernetes and a microservice-led architecture. We are also utilizing Kafka for our streaming and PACT for Contract testing. What you'll get to do Own the technical vision and roadmap for real-time data services, ensuring they are robust, performant, and easy to consume by other teams. Lead design and implementation of streaming solutions using Kafka, Flink, and related technologies. Collaborate with product and engineering teams to understand requirements and deliver platform capabilities that accelerate their development. Drive best practices for observability, reliability, and scalability in distributed systems. Mentor and support engineers within the team, fostering a culture of technical excellence and continuous improvement. Act as an evangelist for event-driven architectures - implement them, communicate their benefits, and champion adoption across the organization You'll get Clear ownership of technical vision and architectural standards for a critical domain. Opportunity to influence and shape a new team from the ground up. A modern tech stack and autonomy to innovate. Strong organizational support and visibility for your work. Object-oriented programming forms the bulk of our codebase, currently in Java, versions 11+, and ideallySpringbootframework Highly-scalable, highly-available, cloud-native applications on AWS are key to our next phase of growth, are written to 12-factor principles and fit into our microservices architecture Cloud-related tools, services, and distributed system observability to support these applications, such as Docker, Kubernetes,ElasticSearch, log management systems, and Datadog APM, to name but a few API specifications, conforming to the OpenAPI (Swagger) standard, provide a clean boundary both externally between our customers and our product, and internally between our microservices SQL, and large SQL databases, provide the persistence layer for our applications. You'll be working with (and know the limitations of using) such large datastores Infrastructure automation is primarily owned by the infrastructure team, but you will be a consumer of their work, familiarity with AWS, Terraform and Docker is beneficial Testing approaches, including TDD, BDD and Contract Testing, all form an important part of our approach to quality assurance, ensuring that the code that we write forms products that are fit for use. We currently use a variety of frameworks including JUnit,RSpecand Cucumber Agile development, with teams broadly aligned with the Spotify - Squads and Tribes - model, helps us deliver incremental improvements to our products in an iterative manner. Advocating this model, and joining us on a journey of continuous improvement, is a key attribute of members of our teams Continuous Integration and Continuous Delivery pipelines allow us to automate-all-the-things, providing repeatable builds and consistent deployments GitHub, and the GitHub PR review process, forms a core part of our developer workflow, and peer reviews help share knowledge and improve quality Teamwork, and cross-team collaboration, is fundamental to the delivery of our applications. Whilst each application has an independent path to production, there will always be some activities and initiatives that span multiple teams and require cross-team collaboration. Within your team you'll need to collaborate with a number of stakeholders, including Product Owners and QA, as part of your product development This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Preferred Qualifications: 9 or more years of relevant work experience 5+ years experience in Java or Python Backend Development Passion for event-driven architectures and ability to advocate for them across teams. Proven experience leading technical teams or initiatives, including setting architectural direction. Skills with functional Java (versions 8+) and Spring (ideally Spring boot) Agile ways of working such as Scrum or Kanban in cross-functional teams Expert knowledge of Docker, EKS, AWS (public cloud) and Kafka Ability to communicate equally effectively with both technical and non-technical stakeholders Modern Cloud-Native architectures and practices. To name some: high-availability, high-scalability, microservices, 12-factor apps, CI/CD, heavy testing automation and observability. TDD, BDD and Contract testing. Working in a DevOps environment, or passion and willingness to work in this way. Proven delivery of well-tested, scalable, fault-tolerant and performant solutions. A pragmatic approach to solutions and delivery of technical projects. A self-starter who takes accountability for getting things done. Pragmatism in decision making and ability to get buy-in for ideas and getting them done. Exceptional structure and attention to detail. Comfortable challenging the status quo and always curious about the way things work. Great written and verbal communication skills. Comfortable working in a scale-up or growth environment and as part of a wider team Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Dec 16, 2025
Full time
Currency cloud was acquired by Visa in December 2021. OurSenior SoftwareEngineers are responsible for implementing an industry-leading API that has already processed over 50 billion USD of cross-border transactions for over 5 million end users, and is available to our clients 24x7. But we're not stopping there, and our engineers are at the forefront of taking us forward to meet the demands of even greater scale. Our Realtime Data Platform Team is a newly formed group focused on enabling and supporting real-time data capabilities across the organization. This team provides foundational services such as Apache Kafka, Kafka Connect, Apache Flink, and other streaming technologies, as well as promoting Event-Driven Architecture (EDA) principles that power real-time applications and data flows. As a Tech Lead, you'll own the technical vision for the Realtime Data Platform Team. You will define and drive the architecture for shared services that enable real-time data capabilities across the organization. This is a hands-on leadership role where you'll lead technical strategy, mentor engineers, and ensure alignment with organizational standards. Beyond delivery, you'll influence how other teams adopt event-driven principles and modern streaming practices, acting as a trusted technical authority across domains. Our stack runs on AWS as a set of distributed applications using Kubernetes and a microservice-led architecture. We are also utilizing Kafka for our streaming and PACT for Contract testing. What you'll get to do Own the technical vision and roadmap for real-time data services, ensuring they are robust, performant, and easy to consume by other teams. Lead design and implementation of streaming solutions using Kafka, Flink, and related technologies. Collaborate with product and engineering teams to understand requirements and deliver platform capabilities that accelerate their development. Drive best practices for observability, reliability, and scalability in distributed systems. Mentor and support engineers within the team, fostering a culture of technical excellence and continuous improvement. Act as an evangelist for event-driven architectures - implement them, communicate their benefits, and champion adoption across the organization You'll get Clear ownership of technical vision and architectural standards for a critical domain. Opportunity to influence and shape a new team from the ground up. A modern tech stack and autonomy to innovate. Strong organizational support and visibility for your work. Object-oriented programming forms the bulk of our codebase, currently in Java, versions 11+, and ideallySpringbootframework Highly-scalable, highly-available, cloud-native applications on AWS are key to our next phase of growth, are written to 12-factor principles and fit into our microservices architecture Cloud-related tools, services, and distributed system observability to support these applications, such as Docker, Kubernetes,ElasticSearch, log management systems, and Datadog APM, to name but a few API specifications, conforming to the OpenAPI (Swagger) standard, provide a clean boundary both externally between our customers and our product, and internally between our microservices SQL, and large SQL databases, provide the persistence layer for our applications. You'll be working with (and know the limitations of using) such large datastores Infrastructure automation is primarily owned by the infrastructure team, but you will be a consumer of their work, familiarity with AWS, Terraform and Docker is beneficial Testing approaches, including TDD, BDD and Contract Testing, all form an important part of our approach to quality assurance, ensuring that the code that we write forms products that are fit for use. We currently use a variety of frameworks including JUnit,RSpecand Cucumber Agile development, with teams broadly aligned with the Spotify - Squads and Tribes - model, helps us deliver incremental improvements to our products in an iterative manner. Advocating this model, and joining us on a journey of continuous improvement, is a key attribute of members of our teams Continuous Integration and Continuous Delivery pipelines allow us to automate-all-the-things, providing repeatable builds and consistent deployments GitHub, and the GitHub PR review process, forms a core part of our developer workflow, and peer reviews help share knowledge and improve quality Teamwork, and cross-team collaboration, is fundamental to the delivery of our applications. Whilst each application has an independent path to production, there will always be some activities and initiatives that span multiple teams and require cross-team collaboration. Within your team you'll need to collaborate with a number of stakeholders, including Product Owners and QA, as part of your product development This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Preferred Qualifications: 9 or more years of relevant work experience 5+ years experience in Java or Python Backend Development Passion for event-driven architectures and ability to advocate for them across teams. Proven experience leading technical teams or initiatives, including setting architectural direction. Skills with functional Java (versions 8+) and Spring (ideally Spring boot) Agile ways of working such as Scrum or Kanban in cross-functional teams Expert knowledge of Docker, EKS, AWS (public cloud) and Kafka Ability to communicate equally effectively with both technical and non-technical stakeholders Modern Cloud-Native architectures and practices. To name some: high-availability, high-scalability, microservices, 12-factor apps, CI/CD, heavy testing automation and observability. TDD, BDD and Contract testing. Working in a DevOps environment, or passion and willingness to work in this way. Proven delivery of well-tested, scalable, fault-tolerant and performant solutions. A pragmatic approach to solutions and delivery of technical projects. A self-starter who takes accountability for getting things done. Pragmatism in decision making and ability to get buy-in for ideas and getting them done. Exceptional structure and attention to detail. Comfortable challenging the status quo and always curious about the way things work. Great written and verbal communication skills. Comfortable working in a scale-up or growth environment and as part of a wider team Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills & Competencies Proficiency in one or more programming languages, with a solid foundation in computer science fundamentals such as data structures, algorithms, and object-oriented design Growth mindset and adaptability, demonstrated by the ability to take initiative, learn new technologies quickly, and apply constructive feedback Demonstrated initiative and curiosity, shown through academic projects, internships, hackathons, or personal work that reflects a passion for innovation Strong analytical and problem-solving skills, with the ability to break down complex issues and propose thoughtful, effective technical solutions Clear communication and collaboration skills, enabling you to contribute to an inclusive, supportive team environment across diverse and cross-functional teams High attention to detail and organizational skills, with the ability to write clean code, document work clearly, and manage tasks effectively in a fast-paced setting Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Graduating with a minimum of a Bachelor's degree or equivalent in Computer Science, Information Technology, Computer Engineering or related Anticipated graduation date of June 2026 or prior Minimum GPA of 3.0 Responsibilities Rotational assignments vary in terms of the technology skills required, and may use any or all of the following technologies: Python, SQL, Java, TypeScript, R, Golang, JavaScript, Terraform, C, C#, .NET, Scala, Apache Spark, Kafka, Hadoop, Angular, React, Kubernetes, Docker, Jenkins, Databricks, Snowflake, Model Context Protocol, Terraform, Bamboo, GitHub, Amazon Web Services, Microsoft Azure, Google Cloud Platform (GCP). At Moody's we are committed to integrating generative AI within each of our teams, which you will gain experience in during your time in the rotation program. Typical responsibilities for participants in the program may include, but are certainly not limited to, examples in the list below: Build and deploy components of the Moody's Data Platform, including ingestion pipelines, CI/CD workflows, and test environments using Azure Databricks and Microsoft Fabric Develop a proof of concept and relevant documentation leveraging iPaaS to integrate existing technical products and present findings to senior leadership Develop and enhance internal web applications using JavaScript, React, and Python to improve efficiency for analytics and operations teams Work on integrating third-party APIs into Moody's systems to enhance data availability and improve product functionality Support the automation of application deployments using AWS, Terraform, and Jenkins to streamline release processes Collaborate with QA teams to design automated test scripts, ensuring the reliability and performance of Moody's software products About the Program Embark on an exciting journey in your early career by joining the Moody's Technology Rotation Program - Software Engineer! This dynamic program is your gateway to launching your career in software engineering, offering recent graduates the chance to dive into diverse areas of technology including front-end, back-end, full stack, DevOps, QA, data engineering and more. You'll not only enhance your technical skills but also cultivate essential business acumen and non-technical skills, all while forging invaluable connections with a community of your peers. Over the course of the 2-year program, you'll participate in three 8-month rotation assignments across various Moody's Business Units (BUs), gaining a variety of experiences that will shape you into a future technology leader at the firm. Based in our headquarters in New York, this hybrid program encourages collaboration and innovation, requiring participants to join our community in the office 2 days per week. As you navigate through the program, you'll be empowered to develop in your professional career by engaging in monthly workshops, obtaining technical certifications, and through receiving ongoing feedback from your rotation team - all with the support of a dedicated program manager. Starting together as a cohort, you'll build friendships and a strong support network from day one, setting the stage for an incredible career ahead. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Dec 15, 2025
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills & Competencies Proficiency in one or more programming languages, with a solid foundation in computer science fundamentals such as data structures, algorithms, and object-oriented design Growth mindset and adaptability, demonstrated by the ability to take initiative, learn new technologies quickly, and apply constructive feedback Demonstrated initiative and curiosity, shown through academic projects, internships, hackathons, or personal work that reflects a passion for innovation Strong analytical and problem-solving skills, with the ability to break down complex issues and propose thoughtful, effective technical solutions Clear communication and collaboration skills, enabling you to contribute to an inclusive, supportive team environment across diverse and cross-functional teams High attention to detail and organizational skills, with the ability to write clean code, document work clearly, and manage tasks effectively in a fast-paced setting Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Graduating with a minimum of a Bachelor's degree or equivalent in Computer Science, Information Technology, Computer Engineering or related Anticipated graduation date of June 2026 or prior Minimum GPA of 3.0 Responsibilities Rotational assignments vary in terms of the technology skills required, and may use any or all of the following technologies: Python, SQL, Java, TypeScript, R, Golang, JavaScript, Terraform, C, C#, .NET, Scala, Apache Spark, Kafka, Hadoop, Angular, React, Kubernetes, Docker, Jenkins, Databricks, Snowflake, Model Context Protocol, Terraform, Bamboo, GitHub, Amazon Web Services, Microsoft Azure, Google Cloud Platform (GCP). At Moody's we are committed to integrating generative AI within each of our teams, which you will gain experience in during your time in the rotation program. Typical responsibilities for participants in the program may include, but are certainly not limited to, examples in the list below: Build and deploy components of the Moody's Data Platform, including ingestion pipelines, CI/CD workflows, and test environments using Azure Databricks and Microsoft Fabric Develop a proof of concept and relevant documentation leveraging iPaaS to integrate existing technical products and present findings to senior leadership Develop and enhance internal web applications using JavaScript, React, and Python to improve efficiency for analytics and operations teams Work on integrating third-party APIs into Moody's systems to enhance data availability and improve product functionality Support the automation of application deployments using AWS, Terraform, and Jenkins to streamline release processes Collaborate with QA teams to design automated test scripts, ensuring the reliability and performance of Moody's software products About the Program Embark on an exciting journey in your early career by joining the Moody's Technology Rotation Program - Software Engineer! This dynamic program is your gateway to launching your career in software engineering, offering recent graduates the chance to dive into diverse areas of technology including front-end, back-end, full stack, DevOps, QA, data engineering and more. You'll not only enhance your technical skills but also cultivate essential business acumen and non-technical skills, all while forging invaluable connections with a community of your peers. Over the course of the 2-year program, you'll participate in three 8-month rotation assignments across various Moody's Business Units (BUs), gaining a variety of experiences that will shape you into a future technology leader at the firm. Based in our headquarters in New York, this hybrid program encourages collaboration and innovation, requiring participants to join our community in the office 2 days per week. As you navigate through the program, you'll be empowered to develop in your professional career by engaging in monthly workshops, obtaining technical certifications, and through receiving ongoing feedback from your rotation team - all with the support of a dedicated program manager. Starting together as a cohort, you'll build friendships and a strong support network from day one, setting the stage for an incredible career ahead. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Science at Trainline Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded in cross-functional teams across Product and Marketing, empowered with a high degree of autonomy to drive outcomes using all data and techniques at their disposal. As the Head of Data Science, you will lead a team of high-performing Data Science Managers and play a pivotal role in shaping a large cross-functional organisation spanning Product, Engineering, Marketing and Data. You will be a key decision-maker, helping define and deliver a product experience that provides the right inventory, enables a seamless purchase journey, and drives forward our future ticketing opportunities. Doing this well requires deeply understanding our users, identifying their Jobs-to-Be-Done, evaluating whether we are successfully meeting their needs, and accelerating the pace of product discovery and iteration. Your team will influence strategic product thinking, strengthen experimentation and measurement practices, and shape how AI and data power our product experience. In this role, your leadership spans two complementary dimensions: Functional leadership, setting the bar for excellence in Data Science & Analytics. Strategic business partnership, working closely with Product, Engineering, Commercial and Marketing to define long-term direction and deliver impactful outcomes. As a Head of Data Science at Trainline, you will Lead & Develop a High-Performing Data Science Organisation Lead an org of 3 Data Science Managers and their respective teams. Build a culture focused on experimentation, learning, and measurable business impact. Ensure Data Science & Analytics talent is embedded effectively into cross-functional squads and operating at a high bar. Shape Strategy Through Data Act as a co-leader of a large cross functional strategic area of 150 people, defining long-term vision and strategy. Provide data-driven frameworks to structure product thinking - user classifications, Jobs-to-Be-Done, north star metrics, success criteria, and evaluation methods. Influence prioritisation and roadmap decisions by grounding strategic choices in evidence and insight. Advance Experimentation, Measurement & Goaling Champion and mature experimentation practices across teams. Develop clear goaling methodologies enabling rapid iteration and learning. Ensure robust evaluation of product changes, including holdouts and causal inference methods. Elevate Data, AI & Infrastructure Capabilities Work with our ML Engineering counterparts to help shape our wider AI/ML strategy. Influence Data Engineering, BI and Platform priorities to improve data maturity, quality and tooling. Ensure foundational datasets and metrics are trusted, consistent and scalable. Drive High-Impact Outcomes & Senior Communication Hold the organisation to a high bar for analytical rigour and business impact. Communicate insights, strategy, and progress to senior leadership. Drive alignment and influence decision-making across the company. We'd love to hear from you if you have Experience leading data-driven teams in the product space within tech organisations. Proven experience managing Data Science Managers or Data Scientists & Analysts. Demonstrated driving growth and influencing strategy in online products. Experience setting strategic direction, thinking big, and executing effectively. Ability to distil complex analysis into clear, actionable communication for all levels. Strong experience guiding experimentation and test-and-learn cultures. Ability to navigate ambiguous datasets and translate them into insights. Strong stakeholder management and cross-functional leadership experience. Strong data visualisation and communication skills. Knowledge of statistical and causal inference methods. Tech stack: SQL, Python, dbt, Tableau, Trino, AWS Athena + more. More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Dec 14, 2025
Full time
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Science at Trainline Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded in cross-functional teams across Product and Marketing, empowered with a high degree of autonomy to drive outcomes using all data and techniques at their disposal. As the Head of Data Science, you will lead a team of high-performing Data Science Managers and play a pivotal role in shaping a large cross-functional organisation spanning Product, Engineering, Marketing and Data. You will be a key decision-maker, helping define and deliver a product experience that provides the right inventory, enables a seamless purchase journey, and drives forward our future ticketing opportunities. Doing this well requires deeply understanding our users, identifying their Jobs-to-Be-Done, evaluating whether we are successfully meeting their needs, and accelerating the pace of product discovery and iteration. Your team will influence strategic product thinking, strengthen experimentation and measurement practices, and shape how AI and data power our product experience. In this role, your leadership spans two complementary dimensions: Functional leadership, setting the bar for excellence in Data Science & Analytics. Strategic business partnership, working closely with Product, Engineering, Commercial and Marketing to define long-term direction and deliver impactful outcomes. As a Head of Data Science at Trainline, you will Lead & Develop a High-Performing Data Science Organisation Lead an org of 3 Data Science Managers and their respective teams. Build a culture focused on experimentation, learning, and measurable business impact. Ensure Data Science & Analytics talent is embedded effectively into cross-functional squads and operating at a high bar. Shape Strategy Through Data Act as a co-leader of a large cross functional strategic area of 150 people, defining long-term vision and strategy. Provide data-driven frameworks to structure product thinking - user classifications, Jobs-to-Be-Done, north star metrics, success criteria, and evaluation methods. Influence prioritisation and roadmap decisions by grounding strategic choices in evidence and insight. Advance Experimentation, Measurement & Goaling Champion and mature experimentation practices across teams. Develop clear goaling methodologies enabling rapid iteration and learning. Ensure robust evaluation of product changes, including holdouts and causal inference methods. Elevate Data, AI & Infrastructure Capabilities Work with our ML Engineering counterparts to help shape our wider AI/ML strategy. Influence Data Engineering, BI and Platform priorities to improve data maturity, quality and tooling. Ensure foundational datasets and metrics are trusted, consistent and scalable. Drive High-Impact Outcomes & Senior Communication Hold the organisation to a high bar for analytical rigour and business impact. Communicate insights, strategy, and progress to senior leadership. Drive alignment and influence decision-making across the company. We'd love to hear from you if you have Experience leading data-driven teams in the product space within tech organisations. Proven experience managing Data Science Managers or Data Scientists & Analysts. Demonstrated driving growth and influencing strategy in online products. Experience setting strategic direction, thinking big, and executing effectively. Ability to distil complex analysis into clear, actionable communication for all levels. Strong experience guiding experimentation and test-and-learn cultures. Ability to navigate ambiguous datasets and translate them into insights. Strong stakeholder management and cross-functional leadership experience. Strong data visualisation and communication skills. Knowledge of statistical and causal inference methods. Tech stack: SQL, Python, dbt, Tableau, Trino, AWS Athena + more. More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
London, United Kingdom JOB ID: FEQ426R335 Recruiter: Dina Hussain Location: London, United Kingdom At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Senior Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Author reference architectures, how tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet ups to help build the Databricks community in your region and scale best practices in your field. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: We are looking for a highly motivated and technically skilled individual to join our EMEA Digital Native Business Unit, focused on landing new customers across both enterprise and high growth start up segments. This role offers the opportunity to be based in the London Offices, with regular collaboration across the EMEA region and close alignment with our London based team. Core Technical Qualifications: Hands on experience in technical consultancy and/or pre sales with a strong background in Data Science / AI / Machine Learning / GenAI / LLM with knowledge in Data Engineering or Data Warehousing (DWH/BI) Demonstrated ability to architect end to end AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs). Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook. Benefits For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Dec 13, 2025
Full time
London, United Kingdom JOB ID: FEQ426R335 Recruiter: Dina Hussain Location: London, United Kingdom At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Senior Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Author reference architectures, how tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet ups to help build the Databricks community in your region and scale best practices in your field. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: We are looking for a highly motivated and technically skilled individual to join our EMEA Digital Native Business Unit, focused on landing new customers across both enterprise and high growth start up segments. This role offers the opportunity to be based in the London Offices, with regular collaboration across the EMEA region and close alignment with our London based team. Core Technical Qualifications: Hands on experience in technical consultancy and/or pre sales with a strong background in Data Science / AI / Machine Learning / GenAI / LLM with knowledge in Data Engineering or Data Warehousing (DWH/BI) Demonstrated ability to architect end to end AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs). Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook. Benefits For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
JOB ID: FEQ426R335 Recruiter: Dina Hussain Location: London, United Kingdom At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Senior Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Author reference architectures, how tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet ups to help build the Databricks community in your region and scale best practices in your field. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: We are looking for a highly motivated and technically skilled individual to join our EMEA Digital Native Business Unit, focused on landing new customers across both enterprise and high growth start up segments. This role offers the opportunity to be based in the London Offices, with regular collaboration across the EMEA region and close alignment with our London based team. Core Technical Qualifications: Hands on experience in technical consultancy and/or pre sales with a strong background in Data Science / AI / Machine Learning / GenAI / LLM with knowledge in Data Engineering or Data Warehousing (DWH/BI) Demonstrated ability to architect end to end AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs). Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills: Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Dec 13, 2025
Full time
JOB ID: FEQ426R335 Recruiter: Dina Hussain Location: London, United Kingdom At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Senior Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Author reference architectures, how tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet ups to help build the Databricks community in your region and scale best practices in your field. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: We are looking for a highly motivated and technically skilled individual to join our EMEA Digital Native Business Unit, focused on landing new customers across both enterprise and high growth start up segments. This role offers the opportunity to be based in the London Offices, with regular collaboration across the EMEA region and close alignment with our London based team. Core Technical Qualifications: Hands on experience in technical consultancy and/or pre sales with a strong background in Data Science / AI / Machine Learning / GenAI / LLM with knowledge in Data Engineering or Data Warehousing (DWH/BI) Demonstrated ability to architect end to end AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs). Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills: Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior DevOps Engineer in United Kingdom. We are seeking an experienced DevOps professional to lead the development, deployment, and management of cloud infrastructure and CI/CD pipelines. In this role, you will collaborate with cross functional teams to ensure high availability, security, and performance of software platforms. You will oversee container orchestration, automate infrastructure, and maintain resilient, scalable environments while resolving complex technical challenges. This position demands strong expertise in AWS, Kubernetes, Terraform, and automation tools, combined with the ability to troubleshoot incidents efficiently under pressure. Your contributions will directly impact the reliability and scalability of global services. Accountabilities Architect, implement, and optimize automated CI/CD pipelines using tools such as Jenkins, GitLab, and ArgoCD. Manage, maintain, and scale containerized environments with Docker and Kubernetes across multiple regions. Design, automate, and maintain cloud infrastructure using Terraform and infrastructure as code best practices. Troubleshoot complex platform incidents and serve as an escalation point for operational issues. Build and manage high quality User Acceptance Testing (UAT) environments for reliable pre production testing. Monitor and maintain cloud infrastructure and services to ensure maximum performance, security, and uptime. Participate in a rotating on call schedule to provide 24/7 system support and incident resolution. Requirements Minimum 5 years of experience in DevOps or similar roles with proven expertise in CI/CD, cloud infrastructure, and containerized environments. Hands on experience with CI/CD tools such as Jenkins, GitLab, ArgoCD, and Nexus. Proficiency in infrastructure automation using Terraform or similar IaC tools. Strong knowledge of AWS services, including EKS, EC2, VPC, S3, and Transit Gateways; experience with GCP or Azure is a plus. Extensive experience with Docker and Kubernetes for containerization and orchestration. Solid understanding of database systems such as Oracle, PostgreSQL, and MongoDB in cloud native environments. Proficiency in scripting languages like Python or Bash for automation tasks. Excellent problem solving skills and ability to troubleshoot complex issues under pressure. Strong collaboration and communication skills to work across international, distributed teams. Benefits Fully remote work with flexible arrangements Competitive salary and performance based incentives Opportunities for professional development and training Access to cutting edge technologies and innovative projects Flexible working hours to support work life balance Collaborative, startup like work culture that encourages creativity and innovation
Dec 13, 2025
Full time
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior DevOps Engineer in United Kingdom. We are seeking an experienced DevOps professional to lead the development, deployment, and management of cloud infrastructure and CI/CD pipelines. In this role, you will collaborate with cross functional teams to ensure high availability, security, and performance of software platforms. You will oversee container orchestration, automate infrastructure, and maintain resilient, scalable environments while resolving complex technical challenges. This position demands strong expertise in AWS, Kubernetes, Terraform, and automation tools, combined with the ability to troubleshoot incidents efficiently under pressure. Your contributions will directly impact the reliability and scalability of global services. Accountabilities Architect, implement, and optimize automated CI/CD pipelines using tools such as Jenkins, GitLab, and ArgoCD. Manage, maintain, and scale containerized environments with Docker and Kubernetes across multiple regions. Design, automate, and maintain cloud infrastructure using Terraform and infrastructure as code best practices. Troubleshoot complex platform incidents and serve as an escalation point for operational issues. Build and manage high quality User Acceptance Testing (UAT) environments for reliable pre production testing. Monitor and maintain cloud infrastructure and services to ensure maximum performance, security, and uptime. Participate in a rotating on call schedule to provide 24/7 system support and incident resolution. Requirements Minimum 5 years of experience in DevOps or similar roles with proven expertise in CI/CD, cloud infrastructure, and containerized environments. Hands on experience with CI/CD tools such as Jenkins, GitLab, ArgoCD, and Nexus. Proficiency in infrastructure automation using Terraform or similar IaC tools. Strong knowledge of AWS services, including EKS, EC2, VPC, S3, and Transit Gateways; experience with GCP or Azure is a plus. Extensive experience with Docker and Kubernetes for containerization and orchestration. Solid understanding of database systems such as Oracle, PostgreSQL, and MongoDB in cloud native environments. Proficiency in scripting languages like Python or Bash for automation tasks. Excellent problem solving skills and ability to troubleshoot complex issues under pressure. Strong collaboration and communication skills to work across international, distributed teams. Benefits Fully remote work with flexible arrangements Competitive salary and performance based incentives Opportunities for professional development and training Access to cutting edge technologies and innovative projects Flexible working hours to support work life balance Collaborative, startup like work culture that encourages creativity and innovation
Job Title: Senior QA Automation Data Engineer (Remote CAN) Company Overview: Atreides helps organizations transform large and complex multi modal datasets into information rich geo spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high fidelity data solutions to enable customers to derive insights quickly. We are a fast moving, high performance startup. We value a diverse team and believe inclusion drives better performance. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive scale data to make the world safer, stronger, and more prosperous. Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries. Position Overview: We are seeking a QA Automation Data Engineer to ensure the correctness, performance, and reliability of our data pipelines, data lakes, and enrichment systems. In this role, you will design, implement, and maintain automated validation frameworks for our large scale data workflows. You will work closely with data engineers, analysts, and platform engineers to embed test coverage and data quality controls directly into the CI/CD lifecycle of our ETL and geospatial data pipelines. You should be deeply familiar with test automation in data contexts, including schema evolution validation, edge case generation, null/duplicate detection, statistical drift analysis, and pipeline integration testing. This is not a manual QA role - you will write code, define test frameworks, and help enforce reliability through automation. Team Principles: Remain curious and passionate in all aspects of our work Promote clear, direct, and transparent communication Embrace the 'measure twice, cut once' philosophy Value and encourage diverse ideas and technologies Lead with empathy in all interactions Responsibilities: Develop automated test harnesses for validating Spark pipelines, Iceberg table transformations, and Python based data flows. Implement validation suites for data schema enforcement, contract testing, and null/duplication/anomaly checks. Design test cases for validating geospatial data processing pipelines (e.g., geometry validation, bounding box edge cases). Integrate data pipeline validation with CI/CD tooling. Monitor and alert on data quality regressions using metric driven validation (e.g., row count deltas, join key sparsity, referential integrity). Write and maintain mock data generators and property based test cases for data edge cases and corner conditions. Contribute to team standards for testing strategy, coverage thresholds, and release readiness gates. Collaborate with data engineers on pipeline observability and reproducibility strategies. Participate in root cause analysis and post mortems for failed data releases or quality incidents. Document infrastructure design, data engineering processes, and maintain comprehensive documentation. Desired Qualifications: 5+ years of experience in data engineering or data QA roles with automation focus. Strong proficiency in Python and PySpark, including writing testable, modular data code. Experience with Apache Iceberg, Delta Lake, or Hudi, including schema evolution and partitioning. Familiarity with data validation libraries (e.g., Great Expectations, Deequ, Soda SQL) or homegrown equivalents. Understanding of geospatial formats (e.g., GeoParquet, GeoJSON, Shapefiles) and related edge cases. Experience with test automation frameworks such as pytest, hypothesis, unittest, and integration with CI pipelines. Familiarity with cloud native data infrastructure, especially AWS (Glue, S3, Athena, EMR). Knowledge of data lineage, data contracts, and observability tools is a plus. Strong communication skills and the ability to work cross functionally with engineers and analysts. You'll Succeed If You: Enjoy catching issues before they hit production and designing coverage to prevent them. Believe that data quality is a first class concern, not an afterthought. Thrive in environments where automated tests are part of the engineering pipeline, not separate from it. Can bridge the gap between engineering practices and analytics/ML testing needs. Have experience debugging distributed failures (e.g., skewed partitions, schema mismatches, memory pressure). Compensation and Benefits: Competitive salary Comprehensive health, dental, and vision insurance plans Flexible hybrid work environment Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.
Dec 13, 2025
Full time
Job Title: Senior QA Automation Data Engineer (Remote CAN) Company Overview: Atreides helps organizations transform large and complex multi modal datasets into information rich geo spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high fidelity data solutions to enable customers to derive insights quickly. We are a fast moving, high performance startup. We value a diverse team and believe inclusion drives better performance. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive scale data to make the world safer, stronger, and more prosperous. Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries. Position Overview: We are seeking a QA Automation Data Engineer to ensure the correctness, performance, and reliability of our data pipelines, data lakes, and enrichment systems. In this role, you will design, implement, and maintain automated validation frameworks for our large scale data workflows. You will work closely with data engineers, analysts, and platform engineers to embed test coverage and data quality controls directly into the CI/CD lifecycle of our ETL and geospatial data pipelines. You should be deeply familiar with test automation in data contexts, including schema evolution validation, edge case generation, null/duplicate detection, statistical drift analysis, and pipeline integration testing. This is not a manual QA role - you will write code, define test frameworks, and help enforce reliability through automation. Team Principles: Remain curious and passionate in all aspects of our work Promote clear, direct, and transparent communication Embrace the 'measure twice, cut once' philosophy Value and encourage diverse ideas and technologies Lead with empathy in all interactions Responsibilities: Develop automated test harnesses for validating Spark pipelines, Iceberg table transformations, and Python based data flows. Implement validation suites for data schema enforcement, contract testing, and null/duplication/anomaly checks. Design test cases for validating geospatial data processing pipelines (e.g., geometry validation, bounding box edge cases). Integrate data pipeline validation with CI/CD tooling. Monitor and alert on data quality regressions using metric driven validation (e.g., row count deltas, join key sparsity, referential integrity). Write and maintain mock data generators and property based test cases for data edge cases and corner conditions. Contribute to team standards for testing strategy, coverage thresholds, and release readiness gates. Collaborate with data engineers on pipeline observability and reproducibility strategies. Participate in root cause analysis and post mortems for failed data releases or quality incidents. Document infrastructure design, data engineering processes, and maintain comprehensive documentation. Desired Qualifications: 5+ years of experience in data engineering or data QA roles with automation focus. Strong proficiency in Python and PySpark, including writing testable, modular data code. Experience with Apache Iceberg, Delta Lake, or Hudi, including schema evolution and partitioning. Familiarity with data validation libraries (e.g., Great Expectations, Deequ, Soda SQL) or homegrown equivalents. Understanding of geospatial formats (e.g., GeoParquet, GeoJSON, Shapefiles) and related edge cases. Experience with test automation frameworks such as pytest, hypothesis, unittest, and integration with CI pipelines. Familiarity with cloud native data infrastructure, especially AWS (Glue, S3, Athena, EMR). Knowledge of data lineage, data contracts, and observability tools is a plus. Strong communication skills and the ability to work cross functionally with engineers and analysts. You'll Succeed If You: Enjoy catching issues before they hit production and designing coverage to prevent them. Believe that data quality is a first class concern, not an afterthought. Thrive in environments where automated tests are part of the engineering pipeline, not separate from it. Can bridge the gap between engineering practices and analytics/ML testing needs. Have experience debugging distributed failures (e.g., skewed partitions, schema mismatches, memory pressure). Compensation and Benefits: Competitive salary Comprehensive health, dental, and vision insurance plans Flexible hybrid work environment Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.
Skin + Me is a fast-growing, technology-driven start-up on a mission to revolutionise personalised skincare. Our tech team powers all three of our brands (Skin + Me, Hair + Me, and Renew + Me), building everything from our ecommerce platform and internal tools to the systems that run our in-house manufacturing. As we embark on the next phase of our growth, we're looking for a mid-level to senior Software Engineer to help us design, build, and scale the software that brings life-changing skincare directly to our customers. This is a hybrid role with three days a week in our Paddington HQ (Mon, Tue, Fri) and two days remote. About the role As a Software Engineer, you'll join a collaborative, agile tech team working across the full stack to deliver high-impact solutions. You'll partner closely with Product, Design, and Operations to build new features, improve performance, and scale our systems as we grow. You'll work primarily in Python while contributing to modern frontend applications, helping shape our architecture and engineering standards as we continue to evolve. This is an opportunity to make a real impact, not just on our products, but on the lives of our customers. The successful candidate will also enjoy working collaboratively and autonomously, and will consistently seek out ways to overcome challenges and obstacles. What you'll do You'll be helping us build and grow our ecommerce platform, comprising multiple brands and domains. As a Software Engineer, you will Collaborate with teammates to design, build, and deploy new features and systems. Deliver high-quality, well-tested code that meets both user and business needs. Contribute to the evolution of our architecture and engineering practices. Partner with Product, Design, and stakeholders to translate ideas into robust, scalable software. Work across the stack - backend, frontend, and infrastructure - as part of an end-to-end delivery culture. Who you are We're looking for someone curious, pragmatic, and collaborative. A problem-solver who loves learning and enjoys working across the stack. Essential Command of Python and its web development frameworks, for example: Flask, Bottle, Django. Experience with relational databases (MySQL preferred) and ORM frameworks (SQLAlchemy, Alembic). Working understanding of frontend technologies (HTML5, CSS3, JavaScript) Strong understanding of software engineering fundamentals: version control (git), OOP, type systems, unit and integration testing. Ability to learn quickly, share knowledge, and adapt in a fast-paced environment. Bonus Points for Experience with TypeScript and React. Experiencing building and maintaining frontend design systems. Familiarity with containerisation (Docker) and cloud platforms (AWS preferred). Understanding of modern web architecture and performance optimisation A resourceful, entrepreneurial mindset: you take initiative and get things done. Why should you choose Skin + Me? A daily challenge - in a thrilling, entrepreneurial start-up environment, no two days will ever be the same. Make a difference - work within a revolutionary company that is focused on improving millions of lives. Serious commitment to growth - personal development is important to us and we'll make sure we support your growth, and give you broad experience across your role. Benefits 25 Days Holiday (+ all the usual Bank Holidays) - It's important to take a break and recharge, that's why we offer a generous holiday allowance Free Breakfast & Lunch - It's important you are well fueled for the day so we've got your breakfast and lunch covered. Plus drinks and snacks are available too! Hybrid working to give you flexibility - We are all remote on Wednesday and Thursday. When we are in the office on Monday, Tuesday and Friday our core hours are 10-4. If you're an early bird you can do 7-4, and if you're a night owl 10-7 is fine too. Need more flexibility around your life - just let us know. Equity - We offer a competitive salary and a generous share award package that means every employee has a stake in the business. We really are all in this together Health and wellbeing focus - We offer a healthcare cash plan, cycle to work schemes plus free healthy breakfast and lunch in the office. We'll be sure to always prioritise your physical and mental health. £500 annual development budget for any learning, training and development opportunities. Courses, books, software - if it helps you in your role, we'll help you get it. For working parents, we're proud to offer assistance, helping you save on nursery fees. The workplace nursery benefit allows you to save tax and National Insurance on the full cost of your nursery fees each month. Culture club - Our culture club team meets every week to make sure we celebrate our big wins and milestones too, with parties, surprises and more. You'll get highly discounted Skin + Me products for you, and 10 friends + family too. Generous employee referral scheme, if you know more fabulous people refer them to work with us too and you'll get a bonus when they pass probation. Dog-friendly office with two very cute resident dogs! More About Skin + Me, Hair + Me and Renew + Me: There's a huge problem in the world of personal care: people struggle with more than just how their skin or hair looks. They're navigating confidence, identity, and long-term health-all deeply personal and ever-changing. Skin + Me, Hair + Me and Renew + Me exist to change that. Skin + Me launched over six years ago with one mission: to revolutionise skincare through personalised, clinically-effective treatment that's simple, sustainable, and built around real results. Now a category leader and scale-up success story, Skin + Me has delivered millions of personalised treatments through our signature Daily Doser and helped customers transform not just their skin-but how they feel in it. From that foundation, we're building out a powerful family of brands: Hair + Me brings prescription-led, personalised treatment to the world of hair health, tackling concerns like thinning and loss with the same blend of dermatological expertise and tailored solutions. And now, Renew + Me is our latest evolution-an advanced prescription skincare brand created specifically for midlife women. Born from the insights of Skin + Me and designed to meet the unique needs of women 45+, Renew + Me couples hard-working actives with deeply human insight to become the definitive skincare brand for this powerful life stage. At Skin + Me, Hair + Me and Renew + Me, we advocate for real, long-term change-whether it's better skin, hair, or health. Our mission is rooted in personalisation, expert care, and building deep trust with our customers. No compromises. Just undeniable results. We recently raised £10 million in Series B funding, backed by top-tier investors like Octopus Ventures and leading DTC founders. Our founding team brings experience from some of the most trusted consumer brands in the world - Facebook, Charlotte Tilbury, and more. With Skin + Me leading the way and our fast-growing younger brands already gaining traction, the +Me journey is just getting started. We're scaling fast-and we'd love for you to be part of it. Think you're up for the challenge?
Dec 13, 2025
Full time
Skin + Me is a fast-growing, technology-driven start-up on a mission to revolutionise personalised skincare. Our tech team powers all three of our brands (Skin + Me, Hair + Me, and Renew + Me), building everything from our ecommerce platform and internal tools to the systems that run our in-house manufacturing. As we embark on the next phase of our growth, we're looking for a mid-level to senior Software Engineer to help us design, build, and scale the software that brings life-changing skincare directly to our customers. This is a hybrid role with three days a week in our Paddington HQ (Mon, Tue, Fri) and two days remote. About the role As a Software Engineer, you'll join a collaborative, agile tech team working across the full stack to deliver high-impact solutions. You'll partner closely with Product, Design, and Operations to build new features, improve performance, and scale our systems as we grow. You'll work primarily in Python while contributing to modern frontend applications, helping shape our architecture and engineering standards as we continue to evolve. This is an opportunity to make a real impact, not just on our products, but on the lives of our customers. The successful candidate will also enjoy working collaboratively and autonomously, and will consistently seek out ways to overcome challenges and obstacles. What you'll do You'll be helping us build and grow our ecommerce platform, comprising multiple brands and domains. As a Software Engineer, you will Collaborate with teammates to design, build, and deploy new features and systems. Deliver high-quality, well-tested code that meets both user and business needs. Contribute to the evolution of our architecture and engineering practices. Partner with Product, Design, and stakeholders to translate ideas into robust, scalable software. Work across the stack - backend, frontend, and infrastructure - as part of an end-to-end delivery culture. Who you are We're looking for someone curious, pragmatic, and collaborative. A problem-solver who loves learning and enjoys working across the stack. Essential Command of Python and its web development frameworks, for example: Flask, Bottle, Django. Experience with relational databases (MySQL preferred) and ORM frameworks (SQLAlchemy, Alembic). Working understanding of frontend technologies (HTML5, CSS3, JavaScript) Strong understanding of software engineering fundamentals: version control (git), OOP, type systems, unit and integration testing. Ability to learn quickly, share knowledge, and adapt in a fast-paced environment. Bonus Points for Experience with TypeScript and React. Experiencing building and maintaining frontend design systems. Familiarity with containerisation (Docker) and cloud platforms (AWS preferred). Understanding of modern web architecture and performance optimisation A resourceful, entrepreneurial mindset: you take initiative and get things done. Why should you choose Skin + Me? A daily challenge - in a thrilling, entrepreneurial start-up environment, no two days will ever be the same. Make a difference - work within a revolutionary company that is focused on improving millions of lives. Serious commitment to growth - personal development is important to us and we'll make sure we support your growth, and give you broad experience across your role. Benefits 25 Days Holiday (+ all the usual Bank Holidays) - It's important to take a break and recharge, that's why we offer a generous holiday allowance Free Breakfast & Lunch - It's important you are well fueled for the day so we've got your breakfast and lunch covered. Plus drinks and snacks are available too! Hybrid working to give you flexibility - We are all remote on Wednesday and Thursday. When we are in the office on Monday, Tuesday and Friday our core hours are 10-4. If you're an early bird you can do 7-4, and if you're a night owl 10-7 is fine too. Need more flexibility around your life - just let us know. Equity - We offer a competitive salary and a generous share award package that means every employee has a stake in the business. We really are all in this together Health and wellbeing focus - We offer a healthcare cash plan, cycle to work schemes plus free healthy breakfast and lunch in the office. We'll be sure to always prioritise your physical and mental health. £500 annual development budget for any learning, training and development opportunities. Courses, books, software - if it helps you in your role, we'll help you get it. For working parents, we're proud to offer assistance, helping you save on nursery fees. The workplace nursery benefit allows you to save tax and National Insurance on the full cost of your nursery fees each month. Culture club - Our culture club team meets every week to make sure we celebrate our big wins and milestones too, with parties, surprises and more. You'll get highly discounted Skin + Me products for you, and 10 friends + family too. Generous employee referral scheme, if you know more fabulous people refer them to work with us too and you'll get a bonus when they pass probation. Dog-friendly office with two very cute resident dogs! More About Skin + Me, Hair + Me and Renew + Me: There's a huge problem in the world of personal care: people struggle with more than just how their skin or hair looks. They're navigating confidence, identity, and long-term health-all deeply personal and ever-changing. Skin + Me, Hair + Me and Renew + Me exist to change that. Skin + Me launched over six years ago with one mission: to revolutionise skincare through personalised, clinically-effective treatment that's simple, sustainable, and built around real results. Now a category leader and scale-up success story, Skin + Me has delivered millions of personalised treatments through our signature Daily Doser and helped customers transform not just their skin-but how they feel in it. From that foundation, we're building out a powerful family of brands: Hair + Me brings prescription-led, personalised treatment to the world of hair health, tackling concerns like thinning and loss with the same blend of dermatological expertise and tailored solutions. And now, Renew + Me is our latest evolution-an advanced prescription skincare brand created specifically for midlife women. Born from the insights of Skin + Me and designed to meet the unique needs of women 45+, Renew + Me couples hard-working actives with deeply human insight to become the definitive skincare brand for this powerful life stage. At Skin + Me, Hair + Me and Renew + Me, we advocate for real, long-term change-whether it's better skin, hair, or health. Our mission is rooted in personalisation, expert care, and building deep trust with our customers. No compromises. Just undeniable results. We recently raised £10 million in Series B funding, backed by top-tier investors like Octopus Ventures and leading DTC founders. Our founding team brings experience from some of the most trusted consumer brands in the world - Facebook, Charlotte Tilbury, and more. With Skin + Me leading the way and our fast-growing younger brands already gaining traction, the +Me journey is just getting started. We're scaling fast-and we'd love for you to be part of it. Think you're up for the challenge?
This isn't your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We're aiming to become Germany's second bootstrapped unicorn. Almedia is already Europe's fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 60 million users for engaging with our advertisers' products. We are offering a new way to acquire users for the biggest companies in the world. At Almedia, you'll: Own way more, way earlier - you'll be trusted with responsibility fast. Push harder, get further - this isn't a 9-5. We highly reward intensity. Join a rare environment - you will work with ambitious high-speed, high-ownership people. Fully present - we're 5 days a week in the office to build the energising momentum we need. Senior Engineer - Machine Learning & Pricing You'll help design, build, and optimise the systems that power Almedia's pricing logic, machine learning models, and data-driven growth experiments. Your work will support turning complex behavioural and market data into real-time, intelligent pricing systems that improve user engagement and drive revenue. Types of Problems You'll Be Solving Build and scale dynamic pricing algorithms that respond to real-time user behaviour and market signals Assist in designing and deploying ML models that predict user value, engagement, and conversion probability Contribute to experimentation frameworks for testing and optimising pricing strategies Support the creation of data and ML pipelines integrated with backend services Help improve model reliability, monitoring, and performance across production environments Your Role Take ownership of tasks within the design, development, and deployment of ML and pricing systems Collaborate with data scientists, backend engineers, and product teams to integrate models Assist in setting up frameworks for model versioning, evaluation, and retraining Contribute to refining architecture and processes for scalability, accuracy, and maintainability Learn from senior engineers and participate in discussions about technical direction You Have Experience building or supporting ML-driven systems in production Strong knowledge of Python, data processing, and system design Exposure to experimentation, dynamic pricing, or predictive modelling Solid understanding of SQL and cloud environments (AWS or GCP) Ability to collaborate across engineering, product, and data science teams Willingness to take ownership of your work and grow into larger responsibilities Bonus Points For Hands on experience with ML model training, deployment, and monitoring pipelines Exposure to pricing, auction, or optimisation systems Background in adtech, gaming, or performance marketing environments Passion for data driven decision making and automation Why Almedia? Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one. High Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar. Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Dec 12, 2025
Full time
This isn't your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We're aiming to become Germany's second bootstrapped unicorn. Almedia is already Europe's fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 60 million users for engaging with our advertisers' products. We are offering a new way to acquire users for the biggest companies in the world. At Almedia, you'll: Own way more, way earlier - you'll be trusted with responsibility fast. Push harder, get further - this isn't a 9-5. We highly reward intensity. Join a rare environment - you will work with ambitious high-speed, high-ownership people. Fully present - we're 5 days a week in the office to build the energising momentum we need. Senior Engineer - Machine Learning & Pricing You'll help design, build, and optimise the systems that power Almedia's pricing logic, machine learning models, and data-driven growth experiments. Your work will support turning complex behavioural and market data into real-time, intelligent pricing systems that improve user engagement and drive revenue. Types of Problems You'll Be Solving Build and scale dynamic pricing algorithms that respond to real-time user behaviour and market signals Assist in designing and deploying ML models that predict user value, engagement, and conversion probability Contribute to experimentation frameworks for testing and optimising pricing strategies Support the creation of data and ML pipelines integrated with backend services Help improve model reliability, monitoring, and performance across production environments Your Role Take ownership of tasks within the design, development, and deployment of ML and pricing systems Collaborate with data scientists, backend engineers, and product teams to integrate models Assist in setting up frameworks for model versioning, evaluation, and retraining Contribute to refining architecture and processes for scalability, accuracy, and maintainability Learn from senior engineers and participate in discussions about technical direction You Have Experience building or supporting ML-driven systems in production Strong knowledge of Python, data processing, and system design Exposure to experimentation, dynamic pricing, or predictive modelling Solid understanding of SQL and cloud environments (AWS or GCP) Ability to collaborate across engineering, product, and data science teams Willingness to take ownership of your work and grow into larger responsibilities Bonus Points For Hands on experience with ML model training, deployment, and monitoring pipelines Exposure to pricing, auction, or optimisation systems Background in adtech, gaming, or performance marketing environments Passion for data driven decision making and automation Why Almedia? Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one. High Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar. Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission . Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. - What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities - Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications - PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications - Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines. The salary range for Cambridge, UK : - Scientist I, Data Science : £64,600 - £87,400 Senior Scientist I, Data Science : £88,000 - £132,000 Exact compensation may vary based on skills, experience, and location. Before submitting your application: - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice ( bit.ly/eu_uk_privacy_notice ) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at
Dec 10, 2025
Full time
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission . Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. - What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities - Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications - PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications - Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines. The salary range for Cambridge, UK : - Scientist I, Data Science : £64,600 - £87,400 Senior Scientist I, Data Science : £88,000 - £132,000 Exact compensation may vary based on skills, experience, and location. Before submitting your application: - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice ( bit.ly/eu_uk_privacy_notice ) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at
About Cognite Cognite is gearing up for an exciting year of growth in 2026. As we expand our global footprint and scale our impact across industries, we're building our team with talented, forward-thinking individuals who want to make a difference. Even if you don't see a role that matches your experience today, we encourage you to apply and join our talent community. As immediate opportunities open up, our recruiting team will reach out to connect and explore how your skills align with our growing needs. Join us as we continue to innovate and transform how industrial data drives the world forward. E In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. Our values Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves. Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head on and viewing setbacks as opportunities for growth. As Cognite's clientele expands, so does our demand for a talented Senior Solution Architect. We are actively seeking an individual with expertise to join our dynamic team and contribute to customer facing projects. About the role As a Senior Solution Architect at Cognite, you will play a pivotal role in the Technology department within our Global Value Delivery organisation. Our global reach includes offices in Austin, Houston & Phoenix, Oslo, Stavanger, Tokyo & India. We are a good mix of Project Managers, Data Scientists, Data Engineers, and Solution Architects with some domain expertise in Oil and Gas, Power, and Manufacturing. This specific role is part of the EMEA Delivery organisation. In this customer facing position, you will work directly with key customers, field sales, delivery teams, and product development. You will use your seniority and technical competencies to help to lead Norwegian and international industrial customers to increase productivity, profitability, reduce environmental impact and reduce costs. Our customers are large international process and energy industries, with challenges in asset performance and maintenance, production efficiency, and sustainability. Together with the team, you will define solutions and support each integration through to a successful finish. Responsibilities End to end architecture and solution design leadership. Providing strategic and technical expertise to support customers and the customer facing project teams. Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user facing solutions Expressing complex technical solutions through architecture modeling tools Ensure operational responsibility and support agreements for the delivered solutions Building strong relationships with key stakeholders, C level executives, and IT and Business Data Managers to drive long term adoption of Cognite's products and services Training internal teams and partners in your area of specialization Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings Independently work with managing integration, data modelling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS & Google Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritised pipeline of product offerings Develop and maintain technical and business expertise for Cognite's products Success Factor to thrive in this role A minimum of 3 years relevant experience as Solution Architect OR 7+ years of experience working as a Software Engineer/Machine Learning Engineer. Experience from domains like Manufacturing, Energy, O'G, Pharma, Life sciences is preferred We expect all our solutions architects to be hands on in python as well as a good hands on expertise with software development best practices. Open to travel. Technical background, willing and able to dive in and contribute code for advanced topics when needed You must be highly organised, thorough, and communicate well with all stakeholders. Take ownership and drive tasks independently You will be required to collaborate, lead, and coach, as well as work independently. Don't meet every single requirement? We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. A snapshot of our many perks and benefits as a Cogniter • Join an organization of 70 different nationalities with Diversity, Equality and Inclusion (DEI) in focus • A highly modern and fun working environment with sublime culture across the organization, follow us on to know more • Flat structure with direct access to decision makers, with minimal amount of bureaucracy • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries • Join HUB ️ to be part of the conversation directly with Cogniters and our partners. Why choose Cognite? Join us in making a real and lasting impact in one of the most exciting and fastest growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! Most recently Cognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins Apply today! If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions - We encourage you to follow us on Cognite LinkedIn; we post all our openings there. Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
Dec 09, 2025
Full time
About Cognite Cognite is gearing up for an exciting year of growth in 2026. As we expand our global footprint and scale our impact across industries, we're building our team with talented, forward-thinking individuals who want to make a difference. Even if you don't see a role that matches your experience today, we encourage you to apply and join our talent community. As immediate opportunities open up, our recruiting team will reach out to connect and explore how your skills align with our growing needs. Join us as we continue to innovate and transform how industrial data drives the world forward. E In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. Our values Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves. Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head on and viewing setbacks as opportunities for growth. As Cognite's clientele expands, so does our demand for a talented Senior Solution Architect. We are actively seeking an individual with expertise to join our dynamic team and contribute to customer facing projects. About the role As a Senior Solution Architect at Cognite, you will play a pivotal role in the Technology department within our Global Value Delivery organisation. Our global reach includes offices in Austin, Houston & Phoenix, Oslo, Stavanger, Tokyo & India. We are a good mix of Project Managers, Data Scientists, Data Engineers, and Solution Architects with some domain expertise in Oil and Gas, Power, and Manufacturing. This specific role is part of the EMEA Delivery organisation. In this customer facing position, you will work directly with key customers, field sales, delivery teams, and product development. You will use your seniority and technical competencies to help to lead Norwegian and international industrial customers to increase productivity, profitability, reduce environmental impact and reduce costs. Our customers are large international process and energy industries, with challenges in asset performance and maintenance, production efficiency, and sustainability. Together with the team, you will define solutions and support each integration through to a successful finish. Responsibilities End to end architecture and solution design leadership. Providing strategic and technical expertise to support customers and the customer facing project teams. Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user facing solutions Expressing complex technical solutions through architecture modeling tools Ensure operational responsibility and support agreements for the delivered solutions Building strong relationships with key stakeholders, C level executives, and IT and Business Data Managers to drive long term adoption of Cognite's products and services Training internal teams and partners in your area of specialization Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings Independently work with managing integration, data modelling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS & Google Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritised pipeline of product offerings Develop and maintain technical and business expertise for Cognite's products Success Factor to thrive in this role A minimum of 3 years relevant experience as Solution Architect OR 7+ years of experience working as a Software Engineer/Machine Learning Engineer. Experience from domains like Manufacturing, Energy, O'G, Pharma, Life sciences is preferred We expect all our solutions architects to be hands on in python as well as a good hands on expertise with software development best practices. Open to travel. Technical background, willing and able to dive in and contribute code for advanced topics when needed You must be highly organised, thorough, and communicate well with all stakeholders. Take ownership and drive tasks independently You will be required to collaborate, lead, and coach, as well as work independently. Don't meet every single requirement? We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. A snapshot of our many perks and benefits as a Cogniter • Join an organization of 70 different nationalities with Diversity, Equality and Inclusion (DEI) in focus • A highly modern and fun working environment with sublime culture across the organization, follow us on to know more • Flat structure with direct access to decision makers, with minimal amount of bureaucracy • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries • Join HUB ️ to be part of the conversation directly with Cogniters and our partners. Why choose Cognite? Join us in making a real and lasting impact in one of the most exciting and fastest growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! Most recently Cognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins Apply today! If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions - We encourage you to follow us on Cognite LinkedIn; we post all our openings there. Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
Zilch is a payment tech company on a mission to create the most empowering way to pay for anything, anywhere. Combining the best of debit, credit and savings, we give our customers the option to earn instant cashback or spread the cost of pricier purchases, completely interest free and with no late fees. Pretty great, right? We started in 2018 with a small team and a big dream - to make credit accessible to all. Since then, we've achieved double unicorn status and taken on more than 5 million customers. There are some exciting projects coming up and we've got big growth plans. Want to join us? About the role. We are looking for an exceptional Data Science Manager to lead and grow our data science capability, driving the development, deployment, and optimisation of machine-learning solutions that support Zilch's mission to deliver responsible, real-time and seamless credit experiences. This is a leadership role that involves line management of experienced data scientists, while staying hands on technically. We are looking for someone who can drive production grade predictive insights across our payments ecosystem and ensure the team delivers measurable business impact. In this role, you will lead a team of data scientists and work closely with product, engineering, risk, operations, and commercial teams to build impactful models that power personalisation, customer engagement, fraud detection, credit decisioning, and growth initiatives. You will ensure our modelling efforts are production ready, robust, ethically sound, and aligned with strategic objectives. This is a hands on leadership role: you will mentor the team, contribute to technical direction, and help ensure successful model deployment and monitoring in a fast moving fintech environment. Role Responsibilities. Lead a high performing Data Science team that ships and owns predictive models in production, focused on payments products, fraud detection, risk modelling, customer analytics, and product optimisation. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to translate business goals into modelling strategies that improve customer outcomes. Coach Data Scientists to become more effective and take on new responsibilities, fostering career growth and technical excellence. Ensure Data Science work aligns with company objectives via a visible, prioritised model backlog with problem statements, baselines and clear business owners. Maintain delivery pace while balancing technical debt, business priorities, and innovation. Implement robust value measurement of key business outcomes to guide product strategy and investment decisions. Oversee version control, CI/CD integration, and automated model lifecycle management. Promote a data driven approach to product development, operational decisions, and customer experience improvements. Continuously improve tools, processes, and ways of working with code review standards, experiment tracking, model cards/docs, and reproducible pipelines for the data team and cross functional stakeholders. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to define high impact modelling priorities, and partner with engineering to deliver and operate production grade ML systems across model serving, feature pipelines, monitoring, drift detection, experimentation, retraining, and A/B or champion challenger tests. Drive improvements to our MLOps approaches to embed production SLOs/SLIs, monitoring and drift, retraining and roll back, and post launch value verification. What we're looking for. Manages through clear objectives and context rather than task based instructions. Strong track record of delivering measurable value in previous roles. Significant experience as an individual contributor data scientist shipping models to production, writing high quality code, and partnering with engineers on serving & monitoring. Able to hold technical conversations at parity with engineers and data scientists. Knowledgeable about AI/ML safety, bias detection, and privacy considerations (PII handling and compliance). Comfortable delivering small, testable increments to production fast, then iterating based on measured outcomes. Champions simplicity and high code quality. Strong knowledge of experimental design, A/B testing, and causal inference. Keeps technical skills sharp while leading a team. Skilled at "telescoping", seeing the big picture, then diving into critical areas of focus. Quickly identifies the root cause when problem solving. Thrives in a fast changing, high growth environment. Embed responsible AI practices through fairness monitoring, transparent model documentation, and alignment with FCA expectations for explainability and data usage. Shape and maintain the modelling roadmap, ensuring prioritisation aligns with product, risk, and commercial outcomes. Technical Skills. Proven strong MLOps practice, including CI/CD, cloud native model training and deployment, model serving, and effective data lifecycle management. Expert proficiency in Python, SQL, and core ML libraries (e.g., Pandas, NumPy, Scikit Learn, XGBoost). Strong experience working with cloud based ML platforms (AWS preferred, e.g., SageMaker). Familiarity with model management and deployment tooling such as Git, MLflow, or CI/CD frameworks. Ways of Working. Clear and concise communicator, able to translate technical concepts for senior leadership and non technical audiences. Outcome oriented, comfortable working in a fast paced and evolving fintech environment. Passionate about scalable solutions, high quality modelling, and responsible AI principles. Leads through empowerment and clarity, while setting a high bar for technical and delivery excellence. Experience with modern data stack tools (DBT, Snowflake, Looker). Exposure to deep learning, LLMs, or advanced ML techniques relevant to fintech. Experience developing near real time scoring pipelines or streaming based ML systems. Interest in emerging technologies (LLMs, reinforcement learning, real time ML, vector search, etc.) and their application in fintech. Benefits. Compensation & Savings: Income Protection. Permanent employees enjoy access to our Share Options Scheme. 5% back on in app purchases. £200 for WFH Setup. Private Medical Insurance including; GP consultations (video, telephone or face to face). Prescribed medication. In patient, day patient and out patient care. Mental health support. Physiotherapy. Advanced cancer cover. Employee Assistance Programme including: Unlimited mental health sessions. 24/7 remote GP & physiotherapy. 24/7 helpline for emotional & practical support. Savings & discounts on everyday shopping. 1:1 personalised well being consultations. Family Friendly Policies: Enhanced maternity pay. Enhanced paternity pay. Enhanced adoption pay. Enhanced shared parental leave. Learning & Development: Professional Qualifications. Professional Memberships. Learning Suite for e courses. Internal Training Programmes. FCA & Regulatory training. Hybrid Working. Casual dress code. Workplace socials. To apply for this role, please submit your CV along with a cover letter. We acknowledge receipt of your resume for a position at Zilch and we appreciate your interest in joining our business. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue to the next stage of the recruitment process. We wish you every success. Zilch Technology is an equal opportunities employer and we encourage all applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, religion or belief. Apply for this Job By submitting this application I agree that I have read the Privacy Policy and confirm that Zilch can store my personal details in order to process my job application. Yes, Zilch can contact me directly about specific future job opportunities.
Dec 09, 2025
Full time
Zilch is a payment tech company on a mission to create the most empowering way to pay for anything, anywhere. Combining the best of debit, credit and savings, we give our customers the option to earn instant cashback or spread the cost of pricier purchases, completely interest free and with no late fees. Pretty great, right? We started in 2018 with a small team and a big dream - to make credit accessible to all. Since then, we've achieved double unicorn status and taken on more than 5 million customers. There are some exciting projects coming up and we've got big growth plans. Want to join us? About the role. We are looking for an exceptional Data Science Manager to lead and grow our data science capability, driving the development, deployment, and optimisation of machine-learning solutions that support Zilch's mission to deliver responsible, real-time and seamless credit experiences. This is a leadership role that involves line management of experienced data scientists, while staying hands on technically. We are looking for someone who can drive production grade predictive insights across our payments ecosystem and ensure the team delivers measurable business impact. In this role, you will lead a team of data scientists and work closely with product, engineering, risk, operations, and commercial teams to build impactful models that power personalisation, customer engagement, fraud detection, credit decisioning, and growth initiatives. You will ensure our modelling efforts are production ready, robust, ethically sound, and aligned with strategic objectives. This is a hands on leadership role: you will mentor the team, contribute to technical direction, and help ensure successful model deployment and monitoring in a fast moving fintech environment. Role Responsibilities. Lead a high performing Data Science team that ships and owns predictive models in production, focused on payments products, fraud detection, risk modelling, customer analytics, and product optimisation. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to translate business goals into modelling strategies that improve customer outcomes. Coach Data Scientists to become more effective and take on new responsibilities, fostering career growth and technical excellence. Ensure Data Science work aligns with company objectives via a visible, prioritised model backlog with problem statements, baselines and clear business owners. Maintain delivery pace while balancing technical debt, business priorities, and innovation. Implement robust value measurement of key business outcomes to guide product strategy and investment decisions. Oversee version control, CI/CD integration, and automated model lifecycle management. Promote a data driven approach to product development, operational decisions, and customer experience improvements. Continuously improve tools, processes, and ways of working with code review standards, experiment tracking, model cards/docs, and reproducible pipelines for the data team and cross functional stakeholders. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to define high impact modelling priorities, and partner with engineering to deliver and operate production grade ML systems across model serving, feature pipelines, monitoring, drift detection, experimentation, retraining, and A/B or champion challenger tests. Drive improvements to our MLOps approaches to embed production SLOs/SLIs, monitoring and drift, retraining and roll back, and post launch value verification. What we're looking for. Manages through clear objectives and context rather than task based instructions. Strong track record of delivering measurable value in previous roles. Significant experience as an individual contributor data scientist shipping models to production, writing high quality code, and partnering with engineers on serving & monitoring. Able to hold technical conversations at parity with engineers and data scientists. Knowledgeable about AI/ML safety, bias detection, and privacy considerations (PII handling and compliance). Comfortable delivering small, testable increments to production fast, then iterating based on measured outcomes. Champions simplicity and high code quality. Strong knowledge of experimental design, A/B testing, and causal inference. Keeps technical skills sharp while leading a team. Skilled at "telescoping", seeing the big picture, then diving into critical areas of focus. Quickly identifies the root cause when problem solving. Thrives in a fast changing, high growth environment. Embed responsible AI practices through fairness monitoring, transparent model documentation, and alignment with FCA expectations for explainability and data usage. Shape and maintain the modelling roadmap, ensuring prioritisation aligns with product, risk, and commercial outcomes. Technical Skills. Proven strong MLOps practice, including CI/CD, cloud native model training and deployment, model serving, and effective data lifecycle management. Expert proficiency in Python, SQL, and core ML libraries (e.g., Pandas, NumPy, Scikit Learn, XGBoost). Strong experience working with cloud based ML platforms (AWS preferred, e.g., SageMaker). Familiarity with model management and deployment tooling such as Git, MLflow, or CI/CD frameworks. Ways of Working. Clear and concise communicator, able to translate technical concepts for senior leadership and non technical audiences. Outcome oriented, comfortable working in a fast paced and evolving fintech environment. Passionate about scalable solutions, high quality modelling, and responsible AI principles. Leads through empowerment and clarity, while setting a high bar for technical and delivery excellence. Experience with modern data stack tools (DBT, Snowflake, Looker). Exposure to deep learning, LLMs, or advanced ML techniques relevant to fintech. Experience developing near real time scoring pipelines or streaming based ML systems. Interest in emerging technologies (LLMs, reinforcement learning, real time ML, vector search, etc.) and their application in fintech. Benefits. Compensation & Savings: Income Protection. Permanent employees enjoy access to our Share Options Scheme. 5% back on in app purchases. £200 for WFH Setup. Private Medical Insurance including; GP consultations (video, telephone or face to face). Prescribed medication. In patient, day patient and out patient care. Mental health support. Physiotherapy. Advanced cancer cover. Employee Assistance Programme including: Unlimited mental health sessions. 24/7 remote GP & physiotherapy. 24/7 helpline for emotional & practical support. Savings & discounts on everyday shopping. 1:1 personalised well being consultations. Family Friendly Policies: Enhanced maternity pay. Enhanced paternity pay. Enhanced adoption pay. Enhanced shared parental leave. Learning & Development: Professional Qualifications. Professional Memberships. Learning Suite for e courses. Internal Training Programmes. FCA & Regulatory training. Hybrid Working. Casual dress code. Workplace socials. To apply for this role, please submit your CV along with a cover letter. We acknowledge receipt of your resume for a position at Zilch and we appreciate your interest in joining our business. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue to the next stage of the recruitment process. We wish you every success. Zilch Technology is an equal opportunities employer and we encourage all applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, religion or belief. Apply for this Job By submitting this application I agree that I have read the Privacy Policy and confirm that Zilch can store my personal details in order to process my job application. Yes, Zilch can contact me directly about specific future job opportunities.
