At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency. By "Connecting Convenience" across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We're a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth. Role Overview We are seeking a skilled and motivated Data Scientist II to join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. Design and develop ETL pipelines and workflows for data pre-processing. Develop automated tests to validate the processes and models you create. Collaboration & Communication: Collaborate with stakeholders to define project goals, requirements, and deliverables. Actively participate in design meetings to help shape the solutions that the team delivers Present findings and recommendations to technical and non-technical audiences. Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: Mentor junior data scientists and provide peer reviews for modelling projects. Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. Qualifications Education: Bachelor's degree in data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming languages such as Python or R; knowledge of is R an advantage. Experience with SQL and working knowledge of relational databases. Proficiency with data visualisation tools and techniques. Experience with AWS is a plus. Strong problem-solving and critical-thinking abilities. Excellent communication and presentation skills. Ability to manage multiple projects and prioritize tasks effectively. PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off time away and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.
Aug 17, 2025
Full time
At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency. By "Connecting Convenience" across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We're a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth. Role Overview We are seeking a skilled and motivated Data Scientist II to join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. Design and develop ETL pipelines and workflows for data pre-processing. Develop automated tests to validate the processes and models you create. Collaboration & Communication: Collaborate with stakeholders to define project goals, requirements, and deliverables. Actively participate in design meetings to help shape the solutions that the team delivers Present findings and recommendations to technical and non-technical audiences. Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: Mentor junior data scientists and provide peer reviews for modelling projects. Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. Qualifications Education: Bachelor's degree in data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming languages such as Python or R; knowledge of is R an advantage. Experience with SQL and working knowledge of relational databases. Proficiency with data visualisation tools and techniques. Experience with AWS is a plus. Strong problem-solving and critical-thinking abilities. Excellent communication and presentation skills. Ability to manage multiple projects and prioritize tasks effectively. PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off time away and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.
The world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you're considering As an Industrial Data Solutions Architect & Presales Strategist, you will be responsible for designing and delivering cutting-edge real-time data infrastructure solutions for industrial clients. You will lead system architecture design, project scoping, and cost estimation, while providing expert guidance on AVEVA PI System implementation, integration, and optimization. This role requires a strong technical foundation in IT/OT systems, industrial communication protocols, and cloud platforms, along with the ability to translate complex client requirements into scalable, validated solutions. You will collaborate closely with sales, engineering, and customer teams to ensure successful project delivery and long-term value creation. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. If you are successfully offered this position, you will go through a series of pre-employmentchecks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role An Industrial Data Solutions Architect & Presales Strategist plays a pivotal role in designing and delivering robust, scalable, and cost-effective real-time data management solutions for industrial clients. With deep expertise in AVEVA PI System architecture-including installation, configuration, high availability, and system upgrades-they lead the end-to-end solution lifecycle from project scoping and system sizing to implementation and client onboarding. Leveraging strong project management and technical presales skills, they analyze complex IT/OT integration challenges and propose tailored solutions aligned with OSIsoft best practices. Their proficiency spans PI Asset Framework, PI Vision, PI Web API, and advanced scripting with PowerShell and .NET, enabling seamless customization and integration with enterprise systems. A solid grasp of industrial protocols (OPC, Modbus), ISA 95/88 standards, and cloud platforms (Azure, AWS) further enhances their ability to deliver high-impact, validated solutions-especially in regulated environments like pharma-while maintaining clear, effective communication with stakeholders. You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone. Your skills and experience Good Experience in Project Management / Solution designing, Design the system architecture, size the systems, help the customer estimate costs, and implement the solution. Capable of analysing and proposing solutions to client challenges in overall management of real-time data. Provide a high degree of technical competency and knowledge to the project in accordance with OSIsoft standards and best practices. Expert level of knowledge with: - IT/OT system Integration AVEVA PI High Availability Expert level of knowledge with the following AVEVA applications: PI Interfaces/Connectors/Adapters PI OPC DA/HDA/UA/AE, RDBMS, UFL with failover PI Server Administration PI Client tools Expert level of knowledge with AVEVA PI Asset Framework: Templates Analytics Elements/Attributes Event Frames Notifications Handson experience with AVEVA PI System and application of their product suite, specifically PI DA, PI AF, PI Analysis, PI Vision, PI Web API, PI SDK, AVEVA Report, Process Book and Rt Reports Good knowledge and Experience over the PI AF SDK, PowerShell scripts & .Net PI Vision Servers administration, PI Web API Administration and implementation Good to have working knowledge of MS SQL Server and/or Oracle/Azure/AWS Good Exposure to customizing applications using PI SDK, PI AF SDK, Visual Studio .NET, Angular and SQL - Valuable Good understanding of ISA 95/88 Good understanding of industry stands communication protocols like OPC, Modbus, Ether TCP/IP, Seri Good to have: Knowledge of Pharma validation process and documentation (GMP / FDA) - Valuable Kepware/Metricon OPC Server knowledge Effective communication and writing skills Don't meet every single requirements? Studies have shown women and people of colour are less likely to apply to jobs unless they meet every single qualification. 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 requirement in the job description, we encourage you to apply anyway. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. What does 'Get The Future You Want ' mean for you? You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will reimagine what's possible: creating value for the world's leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Aug 17, 2025
Full time
The world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you're considering As an Industrial Data Solutions Architect & Presales Strategist, you will be responsible for designing and delivering cutting-edge real-time data infrastructure solutions for industrial clients. You will lead system architecture design, project scoping, and cost estimation, while providing expert guidance on AVEVA PI System implementation, integration, and optimization. This role requires a strong technical foundation in IT/OT systems, industrial communication protocols, and cloud platforms, along with the ability to translate complex client requirements into scalable, validated solutions. You will collaborate closely with sales, engineering, and customer teams to ensure successful project delivery and long-term value creation. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. If you are successfully offered this position, you will go through a series of pre-employmentchecks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role An Industrial Data Solutions Architect & Presales Strategist plays a pivotal role in designing and delivering robust, scalable, and cost-effective real-time data management solutions for industrial clients. With deep expertise in AVEVA PI System architecture-including installation, configuration, high availability, and system upgrades-they lead the end-to-end solution lifecycle from project scoping and system sizing to implementation and client onboarding. Leveraging strong project management and technical presales skills, they analyze complex IT/OT integration challenges and propose tailored solutions aligned with OSIsoft best practices. Their proficiency spans PI Asset Framework, PI Vision, PI Web API, and advanced scripting with PowerShell and .NET, enabling seamless customization and integration with enterprise systems. A solid grasp of industrial protocols (OPC, Modbus), ISA 95/88 standards, and cloud platforms (Azure, AWS) further enhances their ability to deliver high-impact, validated solutions-especially in regulated environments like pharma-while maintaining clear, effective communication with stakeholders. You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone. Your skills and experience Good Experience in Project Management / Solution designing, Design the system architecture, size the systems, help the customer estimate costs, and implement the solution. Capable of analysing and proposing solutions to client challenges in overall management of real-time data. Provide a high degree of technical competency and knowledge to the project in accordance with OSIsoft standards and best practices. Expert level of knowledge with: - IT/OT system Integration AVEVA PI High Availability Expert level of knowledge with the following AVEVA applications: PI Interfaces/Connectors/Adapters PI OPC DA/HDA/UA/AE, RDBMS, UFL with failover PI Server Administration PI Client tools Expert level of knowledge with AVEVA PI Asset Framework: Templates Analytics Elements/Attributes Event Frames Notifications Handson experience with AVEVA PI System and application of their product suite, specifically PI DA, PI AF, PI Analysis, PI Vision, PI Web API, PI SDK, AVEVA Report, Process Book and Rt Reports Good knowledge and Experience over the PI AF SDK, PowerShell scripts & .Net PI Vision Servers administration, PI Web API Administration and implementation Good to have working knowledge of MS SQL Server and/or Oracle/Azure/AWS Good Exposure to customizing applications using PI SDK, PI AF SDK, Visual Studio .NET, Angular and SQL - Valuable Good understanding of ISA 95/88 Good understanding of industry stands communication protocols like OPC, Modbus, Ether TCP/IP, Seri Good to have: Knowledge of Pharma validation process and documentation (GMP / FDA) - Valuable Kepware/Metricon OPC Server knowledge Effective communication and writing skills Don't meet every single requirements? Studies have shown women and people of colour are less likely to apply to jobs unless they meet every single qualification. 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 requirement in the job description, we encourage you to apply anyway. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. What does 'Get The Future You Want ' mean for you? You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will reimagine what's possible: creating value for the world's leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Who are Heidi? Heidi is on a mission to halve the time it takes to deliver world-class care. We believe that by 2050, every clinician will practice with AI systems that free them from administrative burdens and increase the quality and accessibility of care to patients across the world. Built for clinicians, by clinicians, at the core of Heidi is its people. We are an eclectic bunch of inventors, builders, scientists, nurses, doctors, mathematicians, designers, creatives, and high-agency executors. We achieve in 6 months what it takes our competitors 4 years to do. In just 12 months, 20 million patient consults were supported by Heidi, and we're now powering more than 1 million consults every week. With our most recent $16.6MM round of funding from leading VC firms, we're geared up to supercharge our ambitious global growth, starting with the US, Canada, UK and Europe - and we need great people like you to get there. The Role Therefore we're hiring a Talent Acquisition Specialist to supercharge our UK expansion by hiring insanely talented humans who are a true master of their craft. Reporting into our Head of People you will be responsible for optimising all Talent Acquisition activities, centralising hiring processes and supporting hiring managers through their interviews. We are in hyper growth mode so we need a hiring ninja who can help us double the team of 120 to 300+ talented humans, all whilst consistently raising the bar for top talent. What you'll do: Own the Talent Acquisition efforts in managing the talent funnel from role scoping, drafting JDs, advertising, screening and nurturing candidates through the process with a delightful experience. Collaborate with hiring managers to lead the initial stages (1-2) of the hiring process by filtering applications and conducting screening calls working across a minimum of 15+ roles. Optimise interview process to identify top caliber talent by building situational, behavioral, culture and values question banks. Supporting hiring managers in designing role related tasks, challenges and take-homes in process. Activate headhunt mode when required for niche technical roles, earmarking and nurturing top talent profiles building pipelines across product and engineering. Support with benchmarking elite talent profiles helping hiring managers understand great from good. Support Head of People in implementing talent tools, processes and systems. Network, build, and nurture relationships with tech startup craftspeople; product managers, engineers, clinicians, sales, ops, CX to build a high caliber talent pipeline. Elevate our employer brand in creative ways representing Heidi across various platforms eg. conferences, networking events, community meetups, blogs, socials, videos etc. What we will look for: Proven track record of 2+ years in agency and/or internal talent acquisition working within tech or startups. Experience managing the hiring process end to end from activating talent funnel, role scoping, CV screening, interviews to offer, acceptance and onboarding. Super-connector, loves working with people, building rapport and nurturing relationships. Knowledge around hiring technical roles is important (product and engineering) the rest can be learned. Must be comfortable with headhunting tactics and cold outreach when needed to build candidate pipeline against talent gaps Pace and urgency to your work is essential, if you are execution focused and get sh t done no matter how much chaos and ambiguity surrounds you - great An eye for identifying high caliber talent and passionate about building a high performance culture Self-starter, highly motivated, competitive, driven by hitting numbers and developing deep relationships with empathy and a commercial acumen. Ability to work autonomously with high levels of accountability to meet TA requirements and hiring goals. Someone who is compassionate, has a great sense of humor, a zest for life, is keen to accelerate their career in people and have fun! Attitude is more important than experience so if you are a hungry, competitive and highly motivated operator who has a knack for problem solving and building relationships. What do we believe in? We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version. You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs: We will stop at nothing to improve patient care across the world. We design user experiences for joy and ship them fast. We make decisions in a flat hierarchy that prioritizes the truth over rank. We provide the resources for people to succeed and give them the freedom to do it.
Aug 17, 2025
Full time
Who are Heidi? Heidi is on a mission to halve the time it takes to deliver world-class care. We believe that by 2050, every clinician will practice with AI systems that free them from administrative burdens and increase the quality and accessibility of care to patients across the world. Built for clinicians, by clinicians, at the core of Heidi is its people. We are an eclectic bunch of inventors, builders, scientists, nurses, doctors, mathematicians, designers, creatives, and high-agency executors. We achieve in 6 months what it takes our competitors 4 years to do. In just 12 months, 20 million patient consults were supported by Heidi, and we're now powering more than 1 million consults every week. With our most recent $16.6MM round of funding from leading VC firms, we're geared up to supercharge our ambitious global growth, starting with the US, Canada, UK and Europe - and we need great people like you to get there. The Role Therefore we're hiring a Talent Acquisition Specialist to supercharge our UK expansion by hiring insanely talented humans who are a true master of their craft. Reporting into our Head of People you will be responsible for optimising all Talent Acquisition activities, centralising hiring processes and supporting hiring managers through their interviews. We are in hyper growth mode so we need a hiring ninja who can help us double the team of 120 to 300+ talented humans, all whilst consistently raising the bar for top talent. What you'll do: Own the Talent Acquisition efforts in managing the talent funnel from role scoping, drafting JDs, advertising, screening and nurturing candidates through the process with a delightful experience. Collaborate with hiring managers to lead the initial stages (1-2) of the hiring process by filtering applications and conducting screening calls working across a minimum of 15+ roles. Optimise interview process to identify top caliber talent by building situational, behavioral, culture and values question banks. Supporting hiring managers in designing role related tasks, challenges and take-homes in process. Activate headhunt mode when required for niche technical roles, earmarking and nurturing top talent profiles building pipelines across product and engineering. Support with benchmarking elite talent profiles helping hiring managers understand great from good. Support Head of People in implementing talent tools, processes and systems. Network, build, and nurture relationships with tech startup craftspeople; product managers, engineers, clinicians, sales, ops, CX to build a high caliber talent pipeline. Elevate our employer brand in creative ways representing Heidi across various platforms eg. conferences, networking events, community meetups, blogs, socials, videos etc. What we will look for: Proven track record of 2+ years in agency and/or internal talent acquisition working within tech or startups. Experience managing the hiring process end to end from activating talent funnel, role scoping, CV screening, interviews to offer, acceptance and onboarding. Super-connector, loves working with people, building rapport and nurturing relationships. Knowledge around hiring technical roles is important (product and engineering) the rest can be learned. Must be comfortable with headhunting tactics and cold outreach when needed to build candidate pipeline against talent gaps Pace and urgency to your work is essential, if you are execution focused and get sh t done no matter how much chaos and ambiguity surrounds you - great An eye for identifying high caliber talent and passionate about building a high performance culture Self-starter, highly motivated, competitive, driven by hitting numbers and developing deep relationships with empathy and a commercial acumen. Ability to work autonomously with high levels of accountability to meet TA requirements and hiring goals. Someone who is compassionate, has a great sense of humor, a zest for life, is keen to accelerate their career in people and have fun! Attitude is more important than experience so if you are a hungry, competitive and highly motivated operator who has a knack for problem solving and building relationships. What do we believe in? We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version. You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs: We will stop at nothing to improve patient care across the world. We design user experiences for joy and ship them fast. We make decisions in a flat hierarchy that prioritizes the truth over rank. We provide the resources for people to succeed and give them the freedom to do it.
About Echobox We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the role As part of the Design team, you will collaborate closely with leadership, product managers, engineers, data scientists, marketing, and other designers to deliver smart designs on schedule. Your work will directly enhance our products and elevate the user experience across the board. Key Responsibilities Take ownership of features and product deliveries. Embed design thinking throughout the product development process. Empathetically understand user problems and explore practical solutions. Simplify complexity at every stage. Sketch user journeys, wireframes, and prototypes. Create beautiful, elegant high-fidelity designs. Champion user research and consistently advocate for users. Translate research insights into intuitive design solutions. Requirements At least one of the following: 2 years in a UX-related role, a design degree, or a recognised UX certification. Portfolio showcasing your designs and design process. Strong knowledge of visual design and UX, with a keen curiosity. Experience using Figma and a solid understanding of design systems. Familiarity with and passion for AI tools and emerging technologies. Fluent written and spoken English. Preferred Requirements Good user research knowledge. Comfortable giving and receiving thoughtful, direct, and clear feedback. Experience with Adobe Creative Suite. Experience working with AI tools or workflows is a strong advantage. Background in publishing or news media is highly valued. Benefits Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. To apply Please attach your CV (PDF format) and provide your portfolio, either as a PDF or a link.
Aug 17, 2025
Full time
About Echobox We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the role As part of the Design team, you will collaborate closely with leadership, product managers, engineers, data scientists, marketing, and other designers to deliver smart designs on schedule. Your work will directly enhance our products and elevate the user experience across the board. Key Responsibilities Take ownership of features and product deliveries. Embed design thinking throughout the product development process. Empathetically understand user problems and explore practical solutions. Simplify complexity at every stage. Sketch user journeys, wireframes, and prototypes. Create beautiful, elegant high-fidelity designs. Champion user research and consistently advocate for users. Translate research insights into intuitive design solutions. Requirements At least one of the following: 2 years in a UX-related role, a design degree, or a recognised UX certification. Portfolio showcasing your designs and design process. Strong knowledge of visual design and UX, with a keen curiosity. Experience using Figma and a solid understanding of design systems. Familiarity with and passion for AI tools and emerging technologies. Fluent written and spoken English. Preferred Requirements Good user research knowledge. Comfortable giving and receiving thoughtful, direct, and clear feedback. Experience with Adobe Creative Suite. Experience working with AI tools or workflows is a strong advantage. Background in publishing or news media is highly valued. Benefits Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. To apply Please attach your CV (PDF format) and provide your portfolio, either as a PDF or a link.
About Echobox We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the role As part of the Design team, you will collaborate closely with leadership, product managers, engineers, data scientists, marketing, and other designers to deliver smart designs on schedule. Your work will directly enhance our products and elevate the user experience across the board. Key Responsibilities Take ownership of features and product deliveries. Embed design thinking throughout the product development process. Empathetically understand user problems and explore practical solutions. Simplify complexity at every stage. Sketch user journeys, wireframes, and prototypes. Create beautiful, elegant high-fidelity designs. Champion user research and consistently advocate for users. Translate research insights into intuitive design solutions. Requirements At least one of the following: 2 years in a UX-related role, a design degree, or a recognised UX certification. Portfolio showcasing your designs and design process. Strong knowledge of visual design and UX, with a keen curiosity. Experience using Figma and a solid understanding of design systems. Familiarity with and passion for AI tools and emerging technologies. Fluent written and spoken English. Preferred Requirements Good user research knowledge. Comfortable giving and receiving thoughtful, direct, and clear feedback. Experience with Adobe Creative Suite. Experience working with AI tools or workflows is a strong advantage. Background in publishing or news media is highly valued. Benefits Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. To apply Please attach your CV (PDF format) and provide your portfolio, either as a PDF or a link.
Aug 17, 2025
Full time
About Echobox We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the role As part of the Design team, you will collaborate closely with leadership, product managers, engineers, data scientists, marketing, and other designers to deliver smart designs on schedule. Your work will directly enhance our products and elevate the user experience across the board. Key Responsibilities Take ownership of features and product deliveries. Embed design thinking throughout the product development process. Empathetically understand user problems and explore practical solutions. Simplify complexity at every stage. Sketch user journeys, wireframes, and prototypes. Create beautiful, elegant high-fidelity designs. Champion user research and consistently advocate for users. Translate research insights into intuitive design solutions. Requirements At least one of the following: 2 years in a UX-related role, a design degree, or a recognised UX certification. Portfolio showcasing your designs and design process. Strong knowledge of visual design and UX, with a keen curiosity. Experience using Figma and a solid understanding of design systems. Familiarity with and passion for AI tools and emerging technologies. Fluent written and spoken English. Preferred Requirements Good user research knowledge. Comfortable giving and receiving thoughtful, direct, and clear feedback. Experience with Adobe Creative Suite. Experience working with AI tools or workflows is a strong advantage. Background in publishing or news media is highly valued. Benefits Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. To apply Please attach your CV (PDF format) and provide your portfolio, either as a PDF or a link.
Job ID: Amazon EU SARL (UK Branch) - D67 The role that can be based in any of the following European offices: London, Paris, Munich, Madrid. ProServe is a new retail vendor consulting organization we are launching within EU Amazon Vendor Services (AVS), designed to address the most pressing and complex issues held by the senior leadership of our largest vendors and brands. We start from the customer's problem and work backwards to apply distinctive results that "only Amazon" can deliver, and develop science-driven capabilities that create differentiating insight. We serve our clients through the development of customer and retail strategies that enable their long-term growth via a combination of management consulting methodologies, data science, and decades of proprietary transaction data and eCommerce expertise. As a Senior Consultant, you will work with senior leaders of our largest vendors to tackle their most critical Customer, Product, and Channel eCommerce issues. You will use your customer understanding and industry insight to plan and execute engagements that transform vendor strategy and change the trajectory of their business growth. You will also work directly with our dedicated Data Science team to prototype custom solutions with the potential to scale to hundreds of vendors, and even change the market. As a core team member you will also work with vendors, team members, and internal and external partners to influence the way we work, how we serve customers, and where we invest in future capabilities. This is an ideal role if you are looking to leverage your client service skills while broadening your understanding of Product Management, Data Science, and other hands-on business ownership roles in the technology industry. We are open to strong-performing client service professionals with an analytical mindset and a track record of driving change, including industries and functions such as management consulting, corporate or marketing strategy and planning. The ideal candidate will have a strong combination of leadership experience and problem-solving capabilities plus exceptional people skills. They will have closely worked with an executive leader in their organization and/or as a consultant to executive clients. They will be curious learners looking for challenges and growth. They will serve as trusted advisors for our vendor's business executives and leaders. Key job responsibilities - Delivery - Define and plan out complex integrated workstreams, delivering executive and board level briefings and materials, and taking responsibility for the engagement's success - Engagement - Take ownership of driving the project towards a bar-raising outcome. Be the face of the engagement team for vendors. - Program enhancement - Proactively share feedback and learning from engagements with Product Managers and Data Scientists to better design tools/frameworks for an enhanced vendor experience. - Training - Teach customers, partners, and internal teams about AVS professional services and innovation practices This is a customer facing role with relevant business travel when needed. BASIC QUALIFICATIONS - 5+ years' experience in strategy or marketing consulting, leading the delivery of multiple enterprise-level commercial projects at the Executive Director equivalent level role; - Experience creating and implementing growth strategy; - Experience building consensus and delivering results, both across organization boundaries and with external partners; - Experience scoping and managing complex, data-driven analyses to inform strategies and recommendations; - Experience mentoring, coaching or training other consultants, the business, or customers on best practices, frameworks and/or methodologies - Comfort working with structured data in traditional data storage environments, extracting data using standard query syntax PREFERRED QUALIFICATIONS - MBA from a leading business school - Consulting experience at the C-suite and Board level or equivalent internal experience - Retail / E-Commerce experience - Experience delivering consumer software products and services in a high growth environment - Working knowledge of SQL 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Aug 17, 2025
Full time
Job ID: Amazon EU SARL (UK Branch) - D67 The role that can be based in any of the following European offices: London, Paris, Munich, Madrid. ProServe is a new retail vendor consulting organization we are launching within EU Amazon Vendor Services (AVS), designed to address the most pressing and complex issues held by the senior leadership of our largest vendors and brands. We start from the customer's problem and work backwards to apply distinctive results that "only Amazon" can deliver, and develop science-driven capabilities that create differentiating insight. We serve our clients through the development of customer and retail strategies that enable their long-term growth via a combination of management consulting methodologies, data science, and decades of proprietary transaction data and eCommerce expertise. As a Senior Consultant, you will work with senior leaders of our largest vendors to tackle their most critical Customer, Product, and Channel eCommerce issues. You will use your customer understanding and industry insight to plan and execute engagements that transform vendor strategy and change the trajectory of their business growth. You will also work directly with our dedicated Data Science team to prototype custom solutions with the potential to scale to hundreds of vendors, and even change the market. As a core team member you will also work with vendors, team members, and internal and external partners to influence the way we work, how we serve customers, and where we invest in future capabilities. This is an ideal role if you are looking to leverage your client service skills while broadening your understanding of Product Management, Data Science, and other hands-on business ownership roles in the technology industry. We are open to strong-performing client service professionals with an analytical mindset and a track record of driving change, including industries and functions such as management consulting, corporate or marketing strategy and planning. The ideal candidate will have a strong combination of leadership experience and problem-solving capabilities plus exceptional people skills. They will have closely worked with an executive leader in their organization and/or as a consultant to executive clients. They will be curious learners looking for challenges and growth. They will serve as trusted advisors for our vendor's business executives and leaders. Key job responsibilities - Delivery - Define and plan out complex integrated workstreams, delivering executive and board level briefings and materials, and taking responsibility for the engagement's success - Engagement - Take ownership of driving the project towards a bar-raising outcome. Be the face of the engagement team for vendors. - Program enhancement - Proactively share feedback and learning from engagements with Product Managers and Data Scientists to better design tools/frameworks for an enhanced vendor experience. - Training - Teach customers, partners, and internal teams about AVS professional services and innovation practices This is a customer facing role with relevant business travel when needed. BASIC QUALIFICATIONS - 5+ years' experience in strategy or marketing consulting, leading the delivery of multiple enterprise-level commercial projects at the Executive Director equivalent level role; - Experience creating and implementing growth strategy; - Experience building consensus and delivering results, both across organization boundaries and with external partners; - Experience scoping and managing complex, data-driven analyses to inform strategies and recommendations; - Experience mentoring, coaching or training other consultants, the business, or customers on best practices, frameworks and/or methodologies - Comfort working with structured data in traditional data storage environments, extracting data using standard query syntax PREFERRED QUALIFICATIONS - MBA from a leading business school - Consulting experience at the C-suite and Board level or equivalent internal experience - Retail / E-Commerce experience - Experience delivering consumer software products and services in a high growth environment - Working knowledge of SQL 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Salary banding: £55,000 - £75,000 dependent on experience Working pattern: Hybrid; 1-2 days per week in the office Location: London About our Engineering Team As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen. The team is UK-based, with a significant contingent in London, and is made up of pragmatic, curious and collaborative problem-solvers who are passionate about working with our Data Scientists to build state of the art AI products. Our Software Engineers bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline and strong technical prowess. Our engineers are responsible for all aspects of the software development lifecycle. You will get the opportunity to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like FastAPI, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres, Flink on AWS, React & Typescript. We operate a fully Python stack except for frontend and infrastructure code. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. As a team, we're driven by a relentless focus on delivering real value to customers at speed. We embrace modern engineering practices such as automated testing, continuous monitoring, feature flags, and on-demand production-like environments to support frequent, reliable releases. Our team is tackling several exciting challenges, including: Deploying all changes, including complex machine learning models, reliably to customers within 15 minutes Building a real-time, configuration-driven platform that seamlessly adapts to diverse customer needs Ensuring autoscaling and cost-efficient model serving in production, with robust support for ML monitoring and experimentation Centralised reporting/metrics for both the business and our customers Powering user experience of internal and external users through agentic workflows Role Summary We are looking for an engineer passionate about developer enablement and infrastructure as code, who is eager to expand their expertise by contributing to impactful product features. You'll play a key role in improving the lives of millions of insurance policyholders globally, working with a modern and powerful technology stack that includes: Python for application development Terraform for AWS infrastructure provisioning Kubernetes (with Helm and Flux) for managing services GitLab for CI/CD and version control AWS as our infrastructure platform PostgreSQL for application data and event sourcing architecture Apache Flink for real-time service interactions and state management Responsibilities Collaborate with Engineers, Product Managers, and the Engagement team to understand problem spaces, contribute to solution design, and support the development of our product. Take responsibility for maintaining and improving parts of our backend stack, following engineering best practices. Write robust and well-tested code, including unit, integration, and end-to-end automated tests for backend services that power customer-facing features. Participate in code reviews, share feedback with peers, and stay informed about emerging backend technologies and patterns. Contribute to platform-related work, using infrastructure-as-code tools (AWS, Terraform, Kubernetes) to help keep our systems reliable and scalable. Support the growth of the team by sharing knowledge and collaborating closely with engineers and data scientists. Help improve engineering workflows and contribute ideas for refining team processes and delivery methods. Play a role in feature rollouts by using feature flags, monitoring metrics, and responding to logs and alerts. Embody and promote the Engineering and Sprout company values in your day-to-day work. Requirements Technical proficiency Solid proficiency in software architecture using Python and FastAPI. Experience working in fully cloud-hosted environments (e.g. AWS). Solid RDBMS experience, preferably with PostgreSQL Experience building RESTful APIs (e.g. FastAPI) and real-time data processing pipelines Bonus points for experience with Kubernetes, Apache Flink, Flux or Infrastructure-as-Code frameworks (e.g. Terraform). Experience of maintaining your own code in a production environment. A good foundational understanding of modern software development lifecycles, including code quality, pull requests, code reviews, CI/CD, QA, and production releases in an agile, fast-paced environment Strong problem-solving skills with the ability to think critically and creatively Collaborative by nature, with excellent communication and teamwork abilities Self-motivated, with a strong sense of ownership and accountability Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive. Own It, Deliver It - We commit, we deliver, and we exceed expectations - it's how we achieve outstanding outcomes for our customers. Seed Innovation - The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale. Collaborate to Blossom - We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all. Engineering Values In addition to our company-wide values, these are some of the values within the Engineering team that define how we work and grow together: Value-Driven Development - We avoid premature optimisation and focus on delivering value to our customers based on known requirements. Proactive Mindset - We embrace the philosophy of asking for forgiveness rather than permission, encouraging innovation and swift action. Efficient Decision-Making - We optimise towards faster decision-making processes, distinguishing between reversible (two-way doors) and irreversible (one-way doors) decisions. Equality of Opportunity - We strive to provide equality of opportunity for all team members, regardless of title or position, fostering a collaborative and inclusive environment. Compensation, benefits and perks Salary banding: £55,000 - £75,000 dependent on experience. Annual pay reviews. Sprout.ai Share Options 28 days' annual leave (plus bank holidays) Hybrid working with 3 days per week working from home Private Health Insurance + Dental Insurance Learning and Development budget Monthly socials, both in London and Virtual WeWork perks - barista, social events, snacks etc. Macbook Pro + home working setup About Sprout.ai Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability. The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes. Sprout.ai's patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers. Leading VCs saw our company vision to 'make every claim better' and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.
Aug 16, 2025
Full time
Salary banding: £55,000 - £75,000 dependent on experience Working pattern: Hybrid; 1-2 days per week in the office Location: London About our Engineering Team As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen. The team is UK-based, with a significant contingent in London, and is made up of pragmatic, curious and collaborative problem-solvers who are passionate about working with our Data Scientists to build state of the art AI products. Our Software Engineers bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline and strong technical prowess. Our engineers are responsible for all aspects of the software development lifecycle. You will get the opportunity to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like FastAPI, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres, Flink on AWS, React & Typescript. We operate a fully Python stack except for frontend and infrastructure code. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. As a team, we're driven by a relentless focus on delivering real value to customers at speed. We embrace modern engineering practices such as automated testing, continuous monitoring, feature flags, and on-demand production-like environments to support frequent, reliable releases. Our team is tackling several exciting challenges, including: Deploying all changes, including complex machine learning models, reliably to customers within 15 minutes Building a real-time, configuration-driven platform that seamlessly adapts to diverse customer needs Ensuring autoscaling and cost-efficient model serving in production, with robust support for ML monitoring and experimentation Centralised reporting/metrics for both the business and our customers Powering user experience of internal and external users through agentic workflows Role Summary We are looking for an engineer passionate about developer enablement and infrastructure as code, who is eager to expand their expertise by contributing to impactful product features. You'll play a key role in improving the lives of millions of insurance policyholders globally, working with a modern and powerful technology stack that includes: Python for application development Terraform for AWS infrastructure provisioning Kubernetes (with Helm and Flux) for managing services GitLab for CI/CD and version control AWS as our infrastructure platform PostgreSQL for application data and event sourcing architecture Apache Flink for real-time service interactions and state management Responsibilities Collaborate with Engineers, Product Managers, and the Engagement team to understand problem spaces, contribute to solution design, and support the development of our product. Take responsibility for maintaining and improving parts of our backend stack, following engineering best practices. Write robust and well-tested code, including unit, integration, and end-to-end automated tests for backend services that power customer-facing features. Participate in code reviews, share feedback with peers, and stay informed about emerging backend technologies and patterns. Contribute to platform-related work, using infrastructure-as-code tools (AWS, Terraform, Kubernetes) to help keep our systems reliable and scalable. Support the growth of the team by sharing knowledge and collaborating closely with engineers and data scientists. Help improve engineering workflows and contribute ideas for refining team processes and delivery methods. Play a role in feature rollouts by using feature flags, monitoring metrics, and responding to logs and alerts. Embody and promote the Engineering and Sprout company values in your day-to-day work. Requirements Technical proficiency Solid proficiency in software architecture using Python and FastAPI. Experience working in fully cloud-hosted environments (e.g. AWS). Solid RDBMS experience, preferably with PostgreSQL Experience building RESTful APIs (e.g. FastAPI) and real-time data processing pipelines Bonus points for experience with Kubernetes, Apache Flink, Flux or Infrastructure-as-Code frameworks (e.g. Terraform). Experience of maintaining your own code in a production environment. A good foundational understanding of modern software development lifecycles, including code quality, pull requests, code reviews, CI/CD, QA, and production releases in an agile, fast-paced environment Strong problem-solving skills with the ability to think critically and creatively Collaborative by nature, with excellent communication and teamwork abilities Self-motivated, with a strong sense of ownership and accountability Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive. Own It, Deliver It - We commit, we deliver, and we exceed expectations - it's how we achieve outstanding outcomes for our customers. Seed Innovation - The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale. Collaborate to Blossom - We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all. Engineering Values In addition to our company-wide values, these are some of the values within the Engineering team that define how we work and grow together: Value-Driven Development - We avoid premature optimisation and focus on delivering value to our customers based on known requirements. Proactive Mindset - We embrace the philosophy of asking for forgiveness rather than permission, encouraging innovation and swift action. Efficient Decision-Making - We optimise towards faster decision-making processes, distinguishing between reversible (two-way doors) and irreversible (one-way doors) decisions. Equality of Opportunity - We strive to provide equality of opportunity for all team members, regardless of title or position, fostering a collaborative and inclusive environment. Compensation, benefits and perks Salary banding: £55,000 - £75,000 dependent on experience. Annual pay reviews. Sprout.ai Share Options 28 days' annual leave (plus bank holidays) Hybrid working with 3 days per week working from home Private Health Insurance + Dental Insurance Learning and Development budget Monthly socials, both in London and Virtual WeWork perks - barista, social events, snacks etc. Macbook Pro + home working setup About Sprout.ai Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability. The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes. Sprout.ai's patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers. Leading VCs saw our company vision to 'make every claim better' and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.
Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it's in our differences that we empower the way the world learns. About the Role: Wiley's prestigious life sciences portfolio is looking for a dynamic and ambitious individual to join the team in the role of Editor in Chief, Genetics. You will use your background in scientific research, your knowledge of the publishing landscape, and your strong communication and networking skills to drive the strategic development of one or more journals, raising the profile and visibility of those journal(s) in the community, and attracting new authors and content. The Editor in Chief will also be involved in the peer review process and decision-making of submitted manuscripts and ensures adoption of best practices and highest ethical standards in publishing. How you will make an impact: Leverage your network, knowledge of the subject area and its development, and desk research skills to drive content acquisition and submissions growth across the life science portfolio. Strategically develop one or more journals, from scientific and publishing perspectives within the context of the broader life sciences journals portfolio. Establish and maintain a strong network of scientists who are the journals' authors, peer reviewers and board members. Represent Wiley and the life sciences portfolio at conferences and through in-person and virtual outreach activities at universities and research institutes. Contribute to the editorial evaluation, peer review, and decision making for manuscripts submitted to several journals. Collaborate with your manager and colleagues to establish a team culture of trust, respect and high performance. We are looking for people who have/are: A PhD in molecular genetics or a closely aligned field (e.g. human genetics, clinical genetics, functional genomics), with a strong grounding in genetic principles and recent developments. Strong teamwork and communication skills, with a flexible and innovative approach to problems and a focus on defining and achieving outcomes. Ability to work in a collaborative setting and achieve results through personal influence and engagement. A self-motivated, diplomatic, and flexible approach with outstanding organizational and time management skills and an excellent command of the English language (both written and verbal). A strong understanding of scientific publishing, including commissioning and the peer-review process. Prior experience in the publishing industry is highly desired. A keen interest in science communication and strong desire to advocate for innovations in publishing and open research. Confidence to present and represent the journal portfolio at conferences and through institute visits, nurture existing contacts and develop new networks, including the willingness to travel. About Wiley: Wiley is a trusted leader in research and learning, our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the world's most important challenges. We are advocates of advancement, empowering knowledge-seekers to transform today's biggest obstacles into tomorrow's brightest opportunities. With over 200 years of experience in publishing, we continue to evolve knowledge seekers' steps into strides, illuminating their path forward to personal, educational, and professional success at every stage. Around the globe, we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered.
Aug 16, 2025
Full time
Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it's in our differences that we empower the way the world learns. About the Role: Wiley's prestigious life sciences portfolio is looking for a dynamic and ambitious individual to join the team in the role of Editor in Chief, Genetics. You will use your background in scientific research, your knowledge of the publishing landscape, and your strong communication and networking skills to drive the strategic development of one or more journals, raising the profile and visibility of those journal(s) in the community, and attracting new authors and content. The Editor in Chief will also be involved in the peer review process and decision-making of submitted manuscripts and ensures adoption of best practices and highest ethical standards in publishing. How you will make an impact: Leverage your network, knowledge of the subject area and its development, and desk research skills to drive content acquisition and submissions growth across the life science portfolio. Strategically develop one or more journals, from scientific and publishing perspectives within the context of the broader life sciences journals portfolio. Establish and maintain a strong network of scientists who are the journals' authors, peer reviewers and board members. Represent Wiley and the life sciences portfolio at conferences and through in-person and virtual outreach activities at universities and research institutes. Contribute to the editorial evaluation, peer review, and decision making for manuscripts submitted to several journals. Collaborate with your manager and colleagues to establish a team culture of trust, respect and high performance. We are looking for people who have/are: A PhD in molecular genetics or a closely aligned field (e.g. human genetics, clinical genetics, functional genomics), with a strong grounding in genetic principles and recent developments. Strong teamwork and communication skills, with a flexible and innovative approach to problems and a focus on defining and achieving outcomes. Ability to work in a collaborative setting and achieve results through personal influence and engagement. A self-motivated, diplomatic, and flexible approach with outstanding organizational and time management skills and an excellent command of the English language (both written and verbal). A strong understanding of scientific publishing, including commissioning and the peer-review process. Prior experience in the publishing industry is highly desired. A keen interest in science communication and strong desire to advocate for innovations in publishing and open research. Confidence to present and represent the journal portfolio at conferences and through institute visits, nurture existing contacts and develop new networks, including the willingness to travel. About Wiley: Wiley is a trusted leader in research and learning, our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the world's most important challenges. We are advocates of advancement, empowering knowledge-seekers to transform today's biggest obstacles into tomorrow's brightest opportunities. With over 200 years of experience in publishing, we continue to evolve knowledge seekers' steps into strides, illuminating their path forward to personal, educational, and professional success at every stage. Around the globe, we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered.
time left to apply End Date: September 7, 2025 (28 days left to apply) job requisition id 30738 Lifestyle Brands (the LSB) is a growing house of like-minded brands under the SC Johnson umbrella including Method, Mrs. Meyer's Clean Day, Babyganics and Ecover . Headquartered in San Francisco with additional operations in Chicago and throughout Europe, the LSB is home to 650 employees. Together we act as a force for bold, transformative growth with a focus on delivering positive impact for people and the planet. If you're into pioneering the future and doing good while doing business, come join us. The LSB is part of SC Johnson, a family-owned company and leading manufacturer of household cleaning, home storage, air care, pest control and shoe care products, as well as professional products. Originally founded in 1886 and headquartered in Wisconsin, U.S.A., SC Johnson and the Lifestyle Brands division are at work for a better world. Location: Frimley, UK Contract type: Permanent People Leader: Head of Category Management UK Internal Job Title: Associate Manager, Sales Analysis Function: Category Management Please note this role is not eligible for relocation. What's in it for you? Flexible working hours + compressed week hours (1/2 day off on Fridays) 'Build your own' learning programme Free breakfast & snacks 25 days annual holiday + additional days after service Pension, Life cover & Health Insurance & income protection Season ticket loan Wellness days Free refills of Ecover products Overview: We are seeking a sustainability-loving Category Manager to join our small but passionate UK category team. Our mission is to grow eco-cleaning by developing and landing strategies that deliver for the consumer, our retailers, and our brands. We are looking for a category manager that can effortlessly build rewarding relationships with a selection of our retailers, stretching and influencing their thinking through killer insights. Key responsibilities include influencing key retailer decision makers on range, merchandising, promotion; driving engagement in our brands and in the green category; and advising them how to grow the category. Responsibilities : Develop and grow our relationship with a selection of our key retail accounts, via their buying and category teams. Use data and insight to influence retailers' selections on range, promo, merchandising and events, becoming their go-to contact for impartial, actionable advice: Create and land bespoke eco-cleaning category strategies with our retailers Spearhead range reviews which deliver wins for the consumer, retailer, and our brands Identify and champion future growth opportunities with a focus on recruiting new shoppers into eco-cleaning Work cross-functionally: with colleagues in marketing to build compelling trade narratives to support our business objectives Partner with the sales team to understand the commercial obstacles that we are facing and in turn share the category insights and trends we are observing in our retailers so that together you can build winning customer plans as a united customer team Be LSB's eyes and ears in our retailer sharing news with the business on new listings, delists, range changes and performance. Bang the drum and ring the bell to drive action considering this information. What You'll bring aka Your superpowers: You have a few solid years of category management experience under your belt-you've been in the trenches and know how to turn insight into impact. Your communication credentials are one of your biggest strengths; you can strike up strong relationships with people from the get-go and experienced at presenting to buyers and larger audiences, such as at retailer sell-in days. You can tell a story better than a nursery teacher! And you build compelling category selling stories. You'll have experience working with some of the UK Grocery retailers and are no stranger to syndicated data (think Nielsen, Dunnhumby or similar). You're a self-starter who isn't just waiting for instruction; you seek out opportunities and make them happen with passion. You must have a relentless desire to push boundaries in making all efforts work harder for the brands, exploring new, different, and exciting opportunities along the way. About us: We are the people behind method + Ecover. We've always done things differently - we're fearless thinkers, mad scientists and adventurous designers who believe that making soap leads to brave ideas, bold inventions and beautiful bubbles. We started small but we have big plans to make the world a cleaner, greener, more colourful place. We invite everyone to join us as we pioneer a future where doing business is doing good for all. Let's get one thing straight - you're not coming here to just sell soap, or cleaning products. You're joining us to move the hearts, souls and minds of others all over the world that see the world differently. We think about cleaning as an act of creative expression, a gesture of rebellion, and, yes, an escape from the normal. We take cleaning seriously - but not ourselves. Alongside our friends Mrs. Meyer's clean day and babyganics in the US, we are collectively known as Lifestyle Brands and are part of the SC Johnson family. Application: Have you made it this far? If you're still reading, we think there's a strong chance you might be our kind of person. Here's the thing, though - research suggests that 60% of women and underrepresented folks might have already talked themselves out of applying. Even if you don't check every box above, we want to encourage you to introduce yourself. We believe a diversity of perspectives and experiences makes a team stronger - and the stronger our team, the closer we are to delivering our ambition of a clean world revolution! It's a big, beautiful, colourful world out there and we should celebrate that. That's why we're working hard to be a fully diverse and inclusive place to work. Every day we strive to create an atmosphere where everyone feels valued, listened to, supported and where we can do our best work. Sure, there's always more that can be done. But together with our team, partners, customers and community, we can make everyone welcome. We advertise all our roles onEvenbreak,the specialist job board for disabled candidates.If you have a disability or a long-term health condition and would like support in applying for any of our vacancies, please visit their Career Hive - careers support for disabled candidates delivered by careers professionals with lived experience of disability. Find out more at . We are happy to adjust our hiring process to ensure we are accessible to everyone - please let us know what we can do to support you! Inclusion & Diversity We believe that being a team of diverse people with different ideas, views and cultures will help us and our business thrive. We are committed to ensuring everyone who works at the LSB feels that they have a real sense of belonging and that they can show up as who they are, be valued, listened to and supported to do their best possible work. Sure, there's always more that can be done. But together with our team, partners, customers and community, we can make everyone welcome. About Us Lifestyle Brands (the LSB) is a growing house of like-minded brands under the SC Johnson umbrella including Method, Mrs. Meyer's Clean Day,babyganics andEcover. Headquartered in San Francisco with additional operations in Chicago and throughout Europe, the LSB is home to 650 employees. Together we act as a force for bold, transformative growth with a focus on delivering positive impact for people and the planet. If you're into pioneering the future and doing good while doing business, come join us. The LSB is part of SC Johnson, a family-owned company and leading manufacturer of household cleaning, home storage, air care, pest control and shoe care products, as well as professional products. Originally founded in 1886 and headquartered in Wisconsin, U.S.A., SC Johnson and the Lifestyle Brands division are at work for a better world.
Aug 16, 2025
Full time
time left to apply End Date: September 7, 2025 (28 days left to apply) job requisition id 30738 Lifestyle Brands (the LSB) is a growing house of like-minded brands under the SC Johnson umbrella including Method, Mrs. Meyer's Clean Day, Babyganics and Ecover . Headquartered in San Francisco with additional operations in Chicago and throughout Europe, the LSB is home to 650 employees. Together we act as a force for bold, transformative growth with a focus on delivering positive impact for people and the planet. If you're into pioneering the future and doing good while doing business, come join us. The LSB is part of SC Johnson, a family-owned company and leading manufacturer of household cleaning, home storage, air care, pest control and shoe care products, as well as professional products. Originally founded in 1886 and headquartered in Wisconsin, U.S.A., SC Johnson and the Lifestyle Brands division are at work for a better world. Location: Frimley, UK Contract type: Permanent People Leader: Head of Category Management UK Internal Job Title: Associate Manager, Sales Analysis Function: Category Management Please note this role is not eligible for relocation. What's in it for you? Flexible working hours + compressed week hours (1/2 day off on Fridays) 'Build your own' learning programme Free breakfast & snacks 25 days annual holiday + additional days after service Pension, Life cover & Health Insurance & income protection Season ticket loan Wellness days Free refills of Ecover products Overview: We are seeking a sustainability-loving Category Manager to join our small but passionate UK category team. Our mission is to grow eco-cleaning by developing and landing strategies that deliver for the consumer, our retailers, and our brands. We are looking for a category manager that can effortlessly build rewarding relationships with a selection of our retailers, stretching and influencing their thinking through killer insights. Key responsibilities include influencing key retailer decision makers on range, merchandising, promotion; driving engagement in our brands and in the green category; and advising them how to grow the category. Responsibilities : Develop and grow our relationship with a selection of our key retail accounts, via their buying and category teams. Use data and insight to influence retailers' selections on range, promo, merchandising and events, becoming their go-to contact for impartial, actionable advice: Create and land bespoke eco-cleaning category strategies with our retailers Spearhead range reviews which deliver wins for the consumer, retailer, and our brands Identify and champion future growth opportunities with a focus on recruiting new shoppers into eco-cleaning Work cross-functionally: with colleagues in marketing to build compelling trade narratives to support our business objectives Partner with the sales team to understand the commercial obstacles that we are facing and in turn share the category insights and trends we are observing in our retailers so that together you can build winning customer plans as a united customer team Be LSB's eyes and ears in our retailer sharing news with the business on new listings, delists, range changes and performance. Bang the drum and ring the bell to drive action considering this information. What You'll bring aka Your superpowers: You have a few solid years of category management experience under your belt-you've been in the trenches and know how to turn insight into impact. Your communication credentials are one of your biggest strengths; you can strike up strong relationships with people from the get-go and experienced at presenting to buyers and larger audiences, such as at retailer sell-in days. You can tell a story better than a nursery teacher! And you build compelling category selling stories. You'll have experience working with some of the UK Grocery retailers and are no stranger to syndicated data (think Nielsen, Dunnhumby or similar). You're a self-starter who isn't just waiting for instruction; you seek out opportunities and make them happen with passion. You must have a relentless desire to push boundaries in making all efforts work harder for the brands, exploring new, different, and exciting opportunities along the way. About us: We are the people behind method + Ecover. We've always done things differently - we're fearless thinkers, mad scientists and adventurous designers who believe that making soap leads to brave ideas, bold inventions and beautiful bubbles. We started small but we have big plans to make the world a cleaner, greener, more colourful place. We invite everyone to join us as we pioneer a future where doing business is doing good for all. Let's get one thing straight - you're not coming here to just sell soap, or cleaning products. You're joining us to move the hearts, souls and minds of others all over the world that see the world differently. We think about cleaning as an act of creative expression, a gesture of rebellion, and, yes, an escape from the normal. We take cleaning seriously - but not ourselves. Alongside our friends Mrs. Meyer's clean day and babyganics in the US, we are collectively known as Lifestyle Brands and are part of the SC Johnson family. Application: Have you made it this far? If you're still reading, we think there's a strong chance you might be our kind of person. Here's the thing, though - research suggests that 60% of women and underrepresented folks might have already talked themselves out of applying. Even if you don't check every box above, we want to encourage you to introduce yourself. We believe a diversity of perspectives and experiences makes a team stronger - and the stronger our team, the closer we are to delivering our ambition of a clean world revolution! It's a big, beautiful, colourful world out there and we should celebrate that. That's why we're working hard to be a fully diverse and inclusive place to work. Every day we strive to create an atmosphere where everyone feels valued, listened to, supported and where we can do our best work. Sure, there's always more that can be done. But together with our team, partners, customers and community, we can make everyone welcome. We advertise all our roles onEvenbreak,the specialist job board for disabled candidates.If you have a disability or a long-term health condition and would like support in applying for any of our vacancies, please visit their Career Hive - careers support for disabled candidates delivered by careers professionals with lived experience of disability. Find out more at . We are happy to adjust our hiring process to ensure we are accessible to everyone - please let us know what we can do to support you! Inclusion & Diversity We believe that being a team of diverse people with different ideas, views and cultures will help us and our business thrive. We are committed to ensuring everyone who works at the LSB feels that they have a real sense of belonging and that they can show up as who they are, be valued, listened to and supported to do their best possible work. Sure, there's always more that can be done. But together with our team, partners, customers and community, we can make everyone welcome. About Us Lifestyle Brands (the LSB) is a growing house of like-minded brands under the SC Johnson umbrella including Method, Mrs. Meyer's Clean Day,babyganics andEcover. Headquartered in San Francisco with additional operations in Chicago and throughout Europe, the LSB is home to 650 employees. Together we act as a force for bold, transformative growth with a focus on delivering positive impact for people and the planet. If you're into pioneering the future and doing good while doing business, come join us. The LSB is part of SC Johnson, a family-owned company and leading manufacturer of household cleaning, home storage, air care, pest control and shoe care products, as well as professional products. Originally founded in 1886 and headquartered in Wisconsin, U.S.A., SC Johnson and the Lifestyle Brands division are at work for a better world.
About us The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the role To supports its mission, the Crick organises access to high-end equipment and related technical expertise, for all its scientists, through our Science Technology Platforms (STP). There are 18 world-class STPs, ranging from cell services and biological research facilities, to high throughput screening, genomics and bioinformatics. These core facilities are crucial for the success of our research and represent a major ongoing investment by the institute. We are looking recruit an expert with an international reputation to lead and manage our Stem Cell and Organoids Platform. The Lead of the Stem Cell and Organoids Platform will advance the research at the Institute by working in collaboration with renowned Crick scientists, including Charles Swanton, Sonia Gandhi, Maximiliano Gutierrez, Silvia Santos and Foad Rouhani to support all aspects of human stem cell work, organoid technologies, and complex in vitro human models. The Stem Cell and Organoids Platform is currently a team of 7 experienced scientists, with expectation to expand in line with evolving scientific needs. You will lead and manage a team of scientists to deliver effective stem cell-based research support across the institute. The key areas of focus will be on: - Offering access to fully-functional stem cell culture facilities, specialised instrumentation, high quality reagents and protocols, training, and expert advice Providing state-of-the-art services in: i) maintenance, expansion and banking of human stem cells with extensive quality control, ii) reprogramming capabilities to generate iPSCs, iii) directed differentiation into specific cell types for downstream research applications, iv) gene editing in stem cells (eg. hEPSCs and hiPSCs). Developing, establishing, and refining protocols for differentiation of stem cells in both 2D culture conditions and 3D organoid systems. Working in collaboration with Crick research groups and other Scientific Platforms to establish and validate complex in vitro human models of health and disease. You will be responsible for working with Crick Scientist to develop and implement the strategic vision for the future direction of the Stem Cell and Organoids Platform. This includes identifying research priorities and evaluating new techniques and technologies. What you will be doing As a Stem Cell and Organoids Platform Lead at the Crick, some of your key responsibilities will be: - Engaging with Crick Scientists (namely Swanton, Gandhi, Gutierrez, Santos and Rouhani) to establish a long-term strategy for providing world class human models and stem cell capabilities at the Crick. Managing a state-of-the-art platform with cutting edge technologies and protocols. Managing, supervising, and training facility staff, including responsibility for recruitment, onboarding, and professional development. Delivering excellent and timely in vitro human models and stem cell support to scientists within the Crick. Evaluating new approaches, techniques, and instrumentation within the hPSC, organoid, and in vitro models' field, including beta-testing of systems under development, and implementing them in the STP as appropriate to maintain a cutting-edge facility. - Maintaining continuing professional development in relevant scientific areas by attending scientific meetings and conferences. About you You will bring - PhD in a relevant scientific discipline (e.g. cell biology, stem cell biology, developmental biology, molecular biology) or commensurate experience in an academic or industrial setting. Strong track record in stem cell research, documented by published research articles Extensive experience in stem cell culture with evidence of research and development, regulatory compliance, and successful grant applications. Evidence of success and international recognition as a facility leader. Significant hands-on or management experience in several of the following techniques: stem cell culture, stem cell differentiation, gene editing, laboratory automation, and/or human model development. - Significant experience in a management or leadership role in a core facility, including responsibility for line management of multidisciplinary teams. About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture! - We are bold . We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. - We are open . We're highly collaborative and interactive, and make sure our activities are visible to the outside world. - We are collegial . We show respect for one another, work cooperatively and support the wider community. At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. Weare a Disability Confident: Committed employer andwant to ensure that everyone can apply and be part of our recruitment processes and sowe'llmake reasonable adjustments if you need them - just let us know when you apply. If you needassistancewith applying (i.e., would like to apply by phone or post)please email: What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: - Visas: Applicants for this role will be eligible for sponsorship to work in the UK - Generous Leave : 28 days of annual leave, plus three additional days over Christmas and bank holidays. - Pension Scheme : Defined contribution pension with employer contributions of up to 16%. - Health & Well-being : - 24/7 GP consultation services. - Occupational health services and mental health support programs. - Eye care vouchers and discounted healthcare plans. - Work-Life Balance : - Back-up care for dependents. - Childcare support allowance. - Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. - Perks : - Discounted gym memberships, bike-to-work scheme, and shopping discounts. - Subsidised on-site restaurant and social spaces for team interaction.
Aug 16, 2025
Full time
About us The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the role To supports its mission, the Crick organises access to high-end equipment and related technical expertise, for all its scientists, through our Science Technology Platforms (STP). There are 18 world-class STPs, ranging from cell services and biological research facilities, to high throughput screening, genomics and bioinformatics. These core facilities are crucial for the success of our research and represent a major ongoing investment by the institute. We are looking recruit an expert with an international reputation to lead and manage our Stem Cell and Organoids Platform. The Lead of the Stem Cell and Organoids Platform will advance the research at the Institute by working in collaboration with renowned Crick scientists, including Charles Swanton, Sonia Gandhi, Maximiliano Gutierrez, Silvia Santos and Foad Rouhani to support all aspects of human stem cell work, organoid technologies, and complex in vitro human models. The Stem Cell and Organoids Platform is currently a team of 7 experienced scientists, with expectation to expand in line with evolving scientific needs. You will lead and manage a team of scientists to deliver effective stem cell-based research support across the institute. The key areas of focus will be on: - Offering access to fully-functional stem cell culture facilities, specialised instrumentation, high quality reagents and protocols, training, and expert advice Providing state-of-the-art services in: i) maintenance, expansion and banking of human stem cells with extensive quality control, ii) reprogramming capabilities to generate iPSCs, iii) directed differentiation into specific cell types for downstream research applications, iv) gene editing in stem cells (eg. hEPSCs and hiPSCs). Developing, establishing, and refining protocols for differentiation of stem cells in both 2D culture conditions and 3D organoid systems. Working in collaboration with Crick research groups and other Scientific Platforms to establish and validate complex in vitro human models of health and disease. You will be responsible for working with Crick Scientist to develop and implement the strategic vision for the future direction of the Stem Cell and Organoids Platform. This includes identifying research priorities and evaluating new techniques and technologies. What you will be doing As a Stem Cell and Organoids Platform Lead at the Crick, some of your key responsibilities will be: - Engaging with Crick Scientists (namely Swanton, Gandhi, Gutierrez, Santos and Rouhani) to establish a long-term strategy for providing world class human models and stem cell capabilities at the Crick. Managing a state-of-the-art platform with cutting edge technologies and protocols. Managing, supervising, and training facility staff, including responsibility for recruitment, onboarding, and professional development. Delivering excellent and timely in vitro human models and stem cell support to scientists within the Crick. Evaluating new approaches, techniques, and instrumentation within the hPSC, organoid, and in vitro models' field, including beta-testing of systems under development, and implementing them in the STP as appropriate to maintain a cutting-edge facility. - Maintaining continuing professional development in relevant scientific areas by attending scientific meetings and conferences. About you You will bring - PhD in a relevant scientific discipline (e.g. cell biology, stem cell biology, developmental biology, molecular biology) or commensurate experience in an academic or industrial setting. Strong track record in stem cell research, documented by published research articles Extensive experience in stem cell culture with evidence of research and development, regulatory compliance, and successful grant applications. Evidence of success and international recognition as a facility leader. Significant hands-on or management experience in several of the following techniques: stem cell culture, stem cell differentiation, gene editing, laboratory automation, and/or human model development. - Significant experience in a management or leadership role in a core facility, including responsibility for line management of multidisciplinary teams. About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture! - We are bold . We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. - We are open . We're highly collaborative and interactive, and make sure our activities are visible to the outside world. - We are collegial . We show respect for one another, work cooperatively and support the wider community. At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. Weare a Disability Confident: Committed employer andwant to ensure that everyone can apply and be part of our recruitment processes and sowe'llmake reasonable adjustments if you need them - just let us know when you apply. If you needassistancewith applying (i.e., would like to apply by phone or post)please email: What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: - Visas: Applicants for this role will be eligible for sponsorship to work in the UK - Generous Leave : 28 days of annual leave, plus three additional days over Christmas and bank holidays. - Pension Scheme : Defined contribution pension with employer contributions of up to 16%. - Health & Well-being : - 24/7 GP consultation services. - Occupational health services and mental health support programs. - Eye care vouchers and discounted healthcare plans. - Work-Life Balance : - Back-up care for dependents. - Childcare support allowance. - Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. - Perks : - Discounted gym memberships, bike-to-work scheme, and shopping discounts. - Subsidised on-site restaurant and social spaces for team interaction.
Company Description At Digitas, we harness the power of connection to make positive impact everyday. We have a relentless focus on creating connections to help our clients' businesses grow, connecting diverse people, ideas and expertise in innovative and exciting ways. We are making positive impact with our amazing clients, through our capabilities in Consulting, Products & Platforms, Customer Engagement and Digital Media. Part of Publicis Groupe, and a Leader in Gartner's Magic Quadrant for Global Marketing Agencies, we're proud to work with some of the world's leading brands. Digitas. Experience the power of connection. Our Commitment Digitas is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity. Overview We're hiring for a Lead Data Scientist! You will play a crucial role in applying cutting-edge statistical methods to uncover insights and drive data-informed decisions.You'll be responsible for designing robust experiments, applying causal inference, and using conformal prediction techniques to support our mission to deliver reliable, actionable analytics that shape business strategy.If this interests you, please keep reading below for more information Responsibilities • Design and analyse causal inference experiments using both randomized and quasi-experimental methods• Develop conformal prediction models to quantify uncertainty in machine learning predictions• Identify and account for confounding variables in observational studies• Create and apply statistical frameworks to estimate causal effects accurately• Collaborate with product, engineering, and business teams to design rigorous experiments• Present insights and methodologies in a clear and actionable way to stakeholders• Translate complex data challenges into impactful, data-driven solutions Qualifications • Advanced degree (MS/PhD) in a quantitative field with strong statistical expertise• 3+ years of hands-on experience applying statistical methods to real-world data• Deep knowledge of experimental design and observational study techniques• Strong understanding of conformal prediction theory and applications• Proficient in Python or R, with experience in statistical and machine learning libraries• Familiarity with causal inference frameworks (e.g., potential outcomes, do-calculus)• Clear communicator, able to explain complex statistical ideas to non-technical audiences Additional Information Digitas has fantastic benefits on offer to all of our employees. In addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plans we also offer; • WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.• REFLECTION DAYS - Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care.• BENEFITS 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching.• F AMILY FRIENDLY POLICIES We provide 26 weeks of full pay for the following family milestones:Maternity. Adoption, Surrogacy and Shared Parental Leave.• HYBRID WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF You are entitled to an additional day off for your birthday. • AGENCY DISCOUNTS , onsite gym, and discount in our Publicis-Owned Pub - "The Pregnant Man" Full details of our benefits will be shared when you join us! Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medicalcondition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process. Please make sure you check out thePublicis Career Pagewhich showcases our Inclusive Benefits and our EAG's (Employee Action Groups).
Aug 16, 2025
Full time
Company Description At Digitas, we harness the power of connection to make positive impact everyday. We have a relentless focus on creating connections to help our clients' businesses grow, connecting diverse people, ideas and expertise in innovative and exciting ways. We are making positive impact with our amazing clients, through our capabilities in Consulting, Products & Platforms, Customer Engagement and Digital Media. Part of Publicis Groupe, and a Leader in Gartner's Magic Quadrant for Global Marketing Agencies, we're proud to work with some of the world's leading brands. Digitas. Experience the power of connection. Our Commitment Digitas is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity. Overview We're hiring for a Lead Data Scientist! You will play a crucial role in applying cutting-edge statistical methods to uncover insights and drive data-informed decisions.You'll be responsible for designing robust experiments, applying causal inference, and using conformal prediction techniques to support our mission to deliver reliable, actionable analytics that shape business strategy.If this interests you, please keep reading below for more information Responsibilities • Design and analyse causal inference experiments using both randomized and quasi-experimental methods• Develop conformal prediction models to quantify uncertainty in machine learning predictions• Identify and account for confounding variables in observational studies• Create and apply statistical frameworks to estimate causal effects accurately• Collaborate with product, engineering, and business teams to design rigorous experiments• Present insights and methodologies in a clear and actionable way to stakeholders• Translate complex data challenges into impactful, data-driven solutions Qualifications • Advanced degree (MS/PhD) in a quantitative field with strong statistical expertise• 3+ years of hands-on experience applying statistical methods to real-world data• Deep knowledge of experimental design and observational study techniques• Strong understanding of conformal prediction theory and applications• Proficient in Python or R, with experience in statistical and machine learning libraries• Familiarity with causal inference frameworks (e.g., potential outcomes, do-calculus)• Clear communicator, able to explain complex statistical ideas to non-technical audiences Additional Information Digitas has fantastic benefits on offer to all of our employees. In addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plans we also offer; • WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.• REFLECTION DAYS - Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care.• BENEFITS 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching.• F AMILY FRIENDLY POLICIES We provide 26 weeks of full pay for the following family milestones:Maternity. Adoption, Surrogacy and Shared Parental Leave.• HYBRID WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF You are entitled to an additional day off for your birthday. • AGENCY DISCOUNTS , onsite gym, and discount in our Publicis-Owned Pub - "The Pregnant Man" Full details of our benefits will be shared when you join us! Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medicalcondition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process. Please make sure you check out thePublicis Career Pagewhich showcases our Inclusive Benefits and our EAG's (Employee Action Groups).
We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. You will work alongside some of the brightest minds in tech, leveraging state of the art approaches to deliver on BenSci's mission to expedite drug discovery. Knowledge Enrichment is at the core of this challenge as it ensures we can reason over and gain insights from an extensive, accurate, and high quality representation of biomedical data. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment. You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci's Knowledge Graph Work closely with other ML engineers to ensure alignment on technical solutioning and approaches. Liaise closely with stakeholders from other functions including product and science Help ensure adoption of ML best practices and state of the art ML approaches within your team(s).Participate in various agile rituals and related practices You Have: Minimum 3, ideally 5+ years of experience working as an ML engineer Some experience providing technical leadership on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area A proven track record of delivering complex ML projects working alongside high-performing ML, data, and software engineers using agile software development Demonstrable ML proficiency with a deep understanding of how to utilize state-of-the-art NLP and ML techniques Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch Extensive experience with Python and PyTorch Track record of contributing to the successful delivery of robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python Experience with data manipulation and processing, such as SQL, Cypher or Pandas A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you You have experience working in cross-functional teams with product managers, scientists, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community
Aug 16, 2025
Full time
We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. You will work alongside some of the brightest minds in tech, leveraging state of the art approaches to deliver on BenSci's mission to expedite drug discovery. Knowledge Enrichment is at the core of this challenge as it ensures we can reason over and gain insights from an extensive, accurate, and high quality representation of biomedical data. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment. You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci's Knowledge Graph Work closely with other ML engineers to ensure alignment on technical solutioning and approaches. Liaise closely with stakeholders from other functions including product and science Help ensure adoption of ML best practices and state of the art ML approaches within your team(s).Participate in various agile rituals and related practices You Have: Minimum 3, ideally 5+ years of experience working as an ML engineer Some experience providing technical leadership on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area A proven track record of delivering complex ML projects working alongside high-performing ML, data, and software engineers using agile software development Demonstrable ML proficiency with a deep understanding of how to utilize state-of-the-art NLP and ML techniques Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch Extensive experience with Python and PyTorch Track record of contributing to the successful delivery of robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python Experience with data manipulation and processing, such as SQL, Cypher or Pandas A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you You have experience working in cross-functional teams with product managers, scientists, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community
PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What Yo u' ll Do Opportunity to lead key engineering and product decisions Actively shipping production code for the Speechify iOS app Work within a dedicated product team Participate in product discussions to shape the product roadmap Maintain and enhance the existing complex app architecture An Ideal Candidate Should Have Experience. You've worked on products that scaled to a large user base Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down Technical skills. Swift, SwiftUI Technical Requirements: Swift Programming Language SwiftUI experience Experience in Multithreading Programming Working with CI/CD infrastructure Experience with Fastlane SOLID principles, the ability to write every single class according to SOLID Experience with Git and understanding of different Git strategies What We offer: A fast-growing environment where you can help shape the company and product An entrepreneurial crew that supports risk, intuition, and hustle The opportunity to make a big impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Aug 16, 2025
Full time
PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What Yo u' ll Do Opportunity to lead key engineering and product decisions Actively shipping production code for the Speechify iOS app Work within a dedicated product team Participate in product discussions to shape the product roadmap Maintain and enhance the existing complex app architecture An Ideal Candidate Should Have Experience. You've worked on products that scaled to a large user base Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down Technical skills. Swift, SwiftUI Technical Requirements: Swift Programming Language SwiftUI experience Experience in Multithreading Programming Working with CI/CD infrastructure Experience with Fastlane SOLID principles, the ability to write every single class according to SOLID Experience with Git and understanding of different Git strategies What We offer: A fast-growing environment where you can help shape the company and product An entrepreneurial crew that supports risk, intuition, and hustle The opportunity to make a big impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Purchase Ledger Team lead/Finance Manager Department: Finance Employment Type: Permanent - Full Time Location: Epsom Description Science Group Plc is an international science and technology and systems organisation operating at the cutting edge of science and technology innovation. We are looking for a Purchase Ledger Team lead/Finance Manager for the Consulting Services Division to work with the senior leadership teams and be an important Finance Team contributor to the efficient running of the Consulting Services Division. We have a global reach, with a multinational and multicultural workforce spanning Europe, North America and Asia with offices across these continents. Our numerous scientists, engineers, regulatory advisors and market experts are supported by the Group's streamlined central support functions. The Group's success is driven by our world-class employees; this means that in growing our business we look for exceptional, hard-working and hands-on employees that will flourish in a dynamic and stimulating environment. The opportunity Reporting to the Finance Director, Consulting Services, you will work closely with the Divisional Managing Directors, Group, and the businesses by enhancing, adapting, and delivering the Finance shared services vision. Key Responsibilities Lead and manage the finance operations within the SSC, including AP and AR Provide additional cover for the team Ensure timely and accurate month-end and year-end closing processes. Maintain strong internal controls and ensure compliance with accounting standards, policies, and regulatory requirements. Drive continuous improvement initiatives to enhance efficiency, automation, and service delivery. Collaborate with cross-functional teams and business units to ensure alignment and support. Monitor and report on key performance indicators (KPIs) and service level agreements (SLAs). Manage and develop a team of finance professionals, providing coaching and performance feedback. Support audits (internal and external) and ensure timely resolution of audit findings. Lead or support finance transformation and system implementation projects. Act as a key point of contact for escalations and issue resolution within the SSC. Skills, Knowledge and Expertise You'll report to Finance Director, Consultancy Services and you are a skilled and versatile finance manager, your knowledge having been built on a robust foundation of a finance shared service centre environment. You will have an eye for detail and have the curiosity to ask questions in order to understand our business to ensure the correct outputs. You will have a flexible attitude and enjoy day to day variability in the role. Experience & Qualifications Qualified or Part Qualified ACA, ACCA or CIMA; Strong knowledge of IFRS/GAAP and financial controls Ability to manage competing priorities with multiple stakeholders; Capable of working effectively and efficiently under pressure in a fast-moving environment; An analytical approach to resolving problems and finding effective solutions; Advanced skills with Microsoft Excel; Can travel in the UK Previous experience of overseeing a transactional finance team Proven history in process implementation. Benefits We offer a competitive salary and benefits package.
Aug 16, 2025
Full time
Purchase Ledger Team lead/Finance Manager Department: Finance Employment Type: Permanent - Full Time Location: Epsom Description Science Group Plc is an international science and technology and systems organisation operating at the cutting edge of science and technology innovation. We are looking for a Purchase Ledger Team lead/Finance Manager for the Consulting Services Division to work with the senior leadership teams and be an important Finance Team contributor to the efficient running of the Consulting Services Division. We have a global reach, with a multinational and multicultural workforce spanning Europe, North America and Asia with offices across these continents. Our numerous scientists, engineers, regulatory advisors and market experts are supported by the Group's streamlined central support functions. The Group's success is driven by our world-class employees; this means that in growing our business we look for exceptional, hard-working and hands-on employees that will flourish in a dynamic and stimulating environment. The opportunity Reporting to the Finance Director, Consulting Services, you will work closely with the Divisional Managing Directors, Group, and the businesses by enhancing, adapting, and delivering the Finance shared services vision. Key Responsibilities Lead and manage the finance operations within the SSC, including AP and AR Provide additional cover for the team Ensure timely and accurate month-end and year-end closing processes. Maintain strong internal controls and ensure compliance with accounting standards, policies, and regulatory requirements. Drive continuous improvement initiatives to enhance efficiency, automation, and service delivery. Collaborate with cross-functional teams and business units to ensure alignment and support. Monitor and report on key performance indicators (KPIs) and service level agreements (SLAs). Manage and develop a team of finance professionals, providing coaching and performance feedback. Support audits (internal and external) and ensure timely resolution of audit findings. Lead or support finance transformation and system implementation projects. Act as a key point of contact for escalations and issue resolution within the SSC. Skills, Knowledge and Expertise You'll report to Finance Director, Consultancy Services and you are a skilled and versatile finance manager, your knowledge having been built on a robust foundation of a finance shared service centre environment. You will have an eye for detail and have the curiosity to ask questions in order to understand our business to ensure the correct outputs. You will have a flexible attitude and enjoy day to day variability in the role. Experience & Qualifications Qualified or Part Qualified ACA, ACCA or CIMA; Strong knowledge of IFRS/GAAP and financial controls Ability to manage competing priorities with multiple stakeholders; Capable of working effectively and efficiently under pressure in a fast-moving environment; An analytical approach to resolving problems and finding effective solutions; Advanced skills with Microsoft Excel; Can travel in the UK Previous experience of overseeing a transactional finance team Proven history in process implementation. Benefits We offer a competitive salary and benefits package.
We are a global media group delivering exceptional content through events, digital, data & insight. From agribusiness, ingredients and food processing, to retail, hospitality & fine dining - we provide the inspiration, insight and connections to power our customers' success. We have offices in Gatwick, Brighton and London, UK; Montpellier, France; Singapore and Chicago, US. In line with the Company's current Agile Working Policy, the successful candidate would be eligible to work part of the week from one of our UK offices and to work remotely for the rest of the week. Position Position: Full time - permanent Location: London / Brighton / Crawley / Hybrid We are looking for a Data Scientist to lead Lumina Intelligence's data team, providing an opportunity to shape and grow our data strategy. Lumina Intelligence is a highly ambitious and leading food & drink consultancy providing insights for global markets and enabling its clients to understand their consumers, competitors, and markets in the way that facilitates growth. It provides subscription data products, maintaining the highest quality of data and continuously enhancing the way customers access and apply its insights. As the Data Science Lead, you'll be responsible for overseeing the full lifecycle of data from acquisition and transformation to advanced analysis and deployment ensuring it delivers maximum value for our products and clients. This role plays a critical part in scaling our data capabilities, embedding AI-driven innovation, and aligning our data infrastructure and strategy with business goals. You'll also contribute to product strategy; helping shape the future of our insight platforms and developing innovative data solutions that differentiate Lumina's offerings in the market. What you'll be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and developers across William Reed Setting out a strategic vision and priorities for the data team and creating a culture that enables growth, development and psychological safety Exploring and applying Large Language Models (LLMs) and other modern AI techniques (e.g., embeddings, retrieval-augmented generation, summarisation) to enhance internal tools, automate workflows, or develop client-facing features Acquiring, cleaning, and integrating data from internal and external sources to enrich analytical capabilities Driving product strategy and innovation by identifying where data science and AI can create new capabilities, improve client experience, or enhance the value of Lumina Intelligence insight platforms. Collaborating with stakeholders to identify opportunities for automation, efficiency, and product innovation through data Staying up-to-date with emerging tools and research in machine learning, AI, and LLMs, bringing new technology into the team's toolkit and championing responsible use across the business Driving the evolution of the data team including ways of working, technology, and cross-team collaboration to enhance insight delivery and support Lumina's product and innovation roadmap Requirements What you'll need: Strong experience leading applied data science projects from concept to deployment, ideally in a product environment Excellent stakeholder management and communication skills, with the ability to share a vision and influence across functions Strong people leadership skills with a focus on mentoring, providing actionable feedback, and supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and production-ready pipelines Solid experience with SQL for data manipulation Deep understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays - increasing by one additional day after 6 years, up to a maximum of 30 days. An additional day of leave for you to take on a cultural celebration day or on your birthday if you like. A day for you! At William Reed, we call this our "MeDay". A volunteer day to take for supporting a chosen charity and giving back to the community. Opportunity for hybrid working Contributory Pension Life Assurance Scheme Group Income Protection Enhanced family-friendly leave pay entitlements Wellbeing benefits, including: A health care cash plan, Employee assistance programme, Virtual GP service and Access to health & wellbeing resources and tools. Cycle to Work Scheme Electric Car Scheme Why work for us We provide a supportive work environment and are committed to maintaining a healthy work/life balance for all of our employees. Working for William Reed means that you will be joining a stable organisation that is committed to developing its employees and brands. We warmly welcome and encourage applications from talented individuals of all backgrounds and characteristics. If you need any support in accessing this opportunity, please do not hesitate to discuss this with us.
Aug 16, 2025
Full time
We are a global media group delivering exceptional content through events, digital, data & insight. From agribusiness, ingredients and food processing, to retail, hospitality & fine dining - we provide the inspiration, insight and connections to power our customers' success. We have offices in Gatwick, Brighton and London, UK; Montpellier, France; Singapore and Chicago, US. In line with the Company's current Agile Working Policy, the successful candidate would be eligible to work part of the week from one of our UK offices and to work remotely for the rest of the week. Position Position: Full time - permanent Location: London / Brighton / Crawley / Hybrid We are looking for a Data Scientist to lead Lumina Intelligence's data team, providing an opportunity to shape and grow our data strategy. Lumina Intelligence is a highly ambitious and leading food & drink consultancy providing insights for global markets and enabling its clients to understand their consumers, competitors, and markets in the way that facilitates growth. It provides subscription data products, maintaining the highest quality of data and continuously enhancing the way customers access and apply its insights. As the Data Science Lead, you'll be responsible for overseeing the full lifecycle of data from acquisition and transformation to advanced analysis and deployment ensuring it delivers maximum value for our products and clients. This role plays a critical part in scaling our data capabilities, embedding AI-driven innovation, and aligning our data infrastructure and strategy with business goals. You'll also contribute to product strategy; helping shape the future of our insight platforms and developing innovative data solutions that differentiate Lumina's offerings in the market. What you'll be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and developers across William Reed Setting out a strategic vision and priorities for the data team and creating a culture that enables growth, development and psychological safety Exploring and applying Large Language Models (LLMs) and other modern AI techniques (e.g., embeddings, retrieval-augmented generation, summarisation) to enhance internal tools, automate workflows, or develop client-facing features Acquiring, cleaning, and integrating data from internal and external sources to enrich analytical capabilities Driving product strategy and innovation by identifying where data science and AI can create new capabilities, improve client experience, or enhance the value of Lumina Intelligence insight platforms. Collaborating with stakeholders to identify opportunities for automation, efficiency, and product innovation through data Staying up-to-date with emerging tools and research in machine learning, AI, and LLMs, bringing new technology into the team's toolkit and championing responsible use across the business Driving the evolution of the data team including ways of working, technology, and cross-team collaboration to enhance insight delivery and support Lumina's product and innovation roadmap Requirements What you'll need: Strong experience leading applied data science projects from concept to deployment, ideally in a product environment Excellent stakeholder management and communication skills, with the ability to share a vision and influence across functions Strong people leadership skills with a focus on mentoring, providing actionable feedback, and supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and production-ready pipelines Solid experience with SQL for data manipulation Deep understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays - increasing by one additional day after 6 years, up to a maximum of 30 days. An additional day of leave for you to take on a cultural celebration day or on your birthday if you like. A day for you! At William Reed, we call this our "MeDay". A volunteer day to take for supporting a chosen charity and giving back to the community. Opportunity for hybrid working Contributory Pension Life Assurance Scheme Group Income Protection Enhanced family-friendly leave pay entitlements Wellbeing benefits, including: A health care cash plan, Employee assistance programme, Virtual GP service and Access to health & wellbeing resources and tools. Cycle to Work Scheme Electric Car Scheme Why work for us We provide a supportive work environment and are committed to maintaining a healthy work/life balance for all of our employees. Working for William Reed means that you will be joining a stable organisation that is committed to developing its employees and brands. We warmly welcome and encourage applications from talented individuals of all backgrounds and characteristics. If you need any support in accessing this opportunity, please do not hesitate to discuss this with us.
At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. This role blends a strong focus on quality in products and processes, technical expertise, and strategic steering. You priorities will include: Cross-team collaboration. You'll work across departments to drive alignment on quality initiatives, ensuring scalable solutions meet long-term strategic objectives while also maintaining focus on immediate technical excellence. Proactive quality assurance. By anticipating quality risks and organizational needs, you'll proactively identify and address potential obstacles to prevent defects before they arise. Strategic execution. You'll own long-term quality and engineering objectives while ensuring day-to-day execution aligns with delivering high-quality, reliable and efficient solutions. Industry advancements. You'll leverage technical expertise and industry insights to drive continuous improvement, ensuring our quality processes and frameworks evolve with technological advancements. We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the United Kingdom. Must-Haves A problem-solver. You can identify and solve critical quality challenges autonomously to ensure we stay on track with roadmaps. Mentorship. You'll coach future leaders on technical quality, sharing best practices and fostering a mindset of innovation and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. Compensation The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? What are your salary expectations? Please include a specific number or range. Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
Aug 16, 2025
Full time
At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. This role blends a strong focus on quality in products and processes, technical expertise, and strategic steering. You priorities will include: Cross-team collaboration. You'll work across departments to drive alignment on quality initiatives, ensuring scalable solutions meet long-term strategic objectives while also maintaining focus on immediate technical excellence. Proactive quality assurance. By anticipating quality risks and organizational needs, you'll proactively identify and address potential obstacles to prevent defects before they arise. Strategic execution. You'll own long-term quality and engineering objectives while ensuring day-to-day execution aligns with delivering high-quality, reliable and efficient solutions. Industry advancements. You'll leverage technical expertise and industry insights to drive continuous improvement, ensuring our quality processes and frameworks evolve with technological advancements. We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the United Kingdom. Must-Haves A problem-solver. You can identify and solve critical quality challenges autonomously to ensure we stay on track with roadmaps. Mentorship. You'll coach future leaders on technical quality, sharing best practices and fostering a mindset of innovation and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. Compensation The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? What are your salary expectations? Please include a specific number or range. Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. This role blends a strong focus on quality in products and processes, technical expertise, and strategic steering. You priorities will include: Cross-team collaboration. You'll work across departments to drive alignment on quality initiatives, ensuring scalable solutions meet long-term strategic objectives while also maintaining focus on immediate technical excellence. Proactive quality assurance. By anticipating quality risks and organizational needs, you'll proactively identify and address potential obstacles to prevent defects before they arise. Strategic execution. You'll own long-term quality and engineering objectives while ensuring day-to-day execution aligns with delivering high-quality, reliable and efficient solutions. Industry advancements. You'll leverage technical expertise and industry insights to drive continuous improvement, ensuring our quality processes and frameworks evolve with technological advancements. We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the United Kingdom. Must-Haves A problem-solver. You can identify and solve critical quality challenges autonomously to ensure we stay on track with roadmaps. Mentorship. You'll coach future leaders on technical quality, sharing best practices and fostering a mindset of innovation and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. Compensation The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? What are your salary expectations? Please include a specific number or range. Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
Aug 16, 2025
Full time
At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. This role blends a strong focus on quality in products and processes, technical expertise, and strategic steering. You priorities will include: Cross-team collaboration. You'll work across departments to drive alignment on quality initiatives, ensuring scalable solutions meet long-term strategic objectives while also maintaining focus on immediate technical excellence. Proactive quality assurance. By anticipating quality risks and organizational needs, you'll proactively identify and address potential obstacles to prevent defects before they arise. Strategic execution. You'll own long-term quality and engineering objectives while ensuring day-to-day execution aligns with delivering high-quality, reliable and efficient solutions. Industry advancements. You'll leverage technical expertise and industry insights to drive continuous improvement, ensuring our quality processes and frameworks evolve with technological advancements. We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the United Kingdom. Must-Haves A problem-solver. You can identify and solve critical quality challenges autonomously to ensure we stay on track with roadmaps. Mentorship. You'll coach future leaders on technical quality, sharing best practices and fostering a mindset of innovation and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. Compensation The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? What are your salary expectations? Please include a specific number or range. Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
Our world-leading Time & Frequency department seek a Time Scale Engineer. You will be joining our team at an exciting time - we maintain the UK's National Time Scale, UTC (NPL), and are currently developing a new resilient Time Scale facility that will underpin our Critical National Infrastructure (CNI). This will address the risks associated with our dependency on global navigation satellite systems (such as GPS) that are vulnerable to both natural and intentional interference. As Time Scale Engineer, you will join a multi-disciplinary team of Scientists and Engineers in our National Timing Centre to develop new Time and Frequency infrastructure within the UK. You'll have a pivotal role in supporting robust systems for the core of the UK's Time Scale, based on Atomic Clocks located at several UK sites. Key responsibilities: Supporting through-life management of hardware assets; including Specifying and procuring equipment Contributing to engineering artefacts (e.g., compiling compliance reports or supporting obsolescence planning) Testing & integration of new equipment (e.g., time interval counters) Maintaining accurate records and contributing to information management Building domain-specific knowledge Ad-hoc data processing / analyses About You Reporting to a Senior Engineer, you'll play a pivotal role in the design of critical UK infrastructure that pushes the boundaries of measurement accuracy for the UK's new resilient Time Scale. Essential skills: A degree in a relevant field of Engineering or Science (or equivalent experience) A rigorous approach to problem solving and the ability to develop solutions to difficult problems Good time management with the ability to shift focus based on changing priorities Advantageous: Experience in Time Scales, Atomic Clocks, or Time and Frequency measurement Experience working in engineering or research and development environments Experience working in a laboratory setting Scripting (e.g., using Python or Bash) We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the Time & Frequency department, you will need to have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical. About Us The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled, black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme. At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we hold memberships and accreditations to ensure we're creating an environment where all our colleagues feel supported and welcome, please see our Diversity & Inclusion page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of benefits . Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we're always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us. As part of our commitment to diversity & inclusion, we signed up to the Institute of Physics' Project Juno in 2015 as a Juno Supporter. NPL were proud to be awarded Juno Practitioner status in 2018. NPL also joined Stonewall as a Diversity champion in 2015, participating in their annual Workplace Equality Index for the equality of LGBT+ community at NPL. In 2018, NPL became a member of the Business Disability Forum and joined the disability confident scheme as level 1 committed employer. To ensure everyone has an equal chance, we're always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.
Aug 16, 2025
Full time
Our world-leading Time & Frequency department seek a Time Scale Engineer. You will be joining our team at an exciting time - we maintain the UK's National Time Scale, UTC (NPL), and are currently developing a new resilient Time Scale facility that will underpin our Critical National Infrastructure (CNI). This will address the risks associated with our dependency on global navigation satellite systems (such as GPS) that are vulnerable to both natural and intentional interference. As Time Scale Engineer, you will join a multi-disciplinary team of Scientists and Engineers in our National Timing Centre to develop new Time and Frequency infrastructure within the UK. You'll have a pivotal role in supporting robust systems for the core of the UK's Time Scale, based on Atomic Clocks located at several UK sites. Key responsibilities: Supporting through-life management of hardware assets; including Specifying and procuring equipment Contributing to engineering artefacts (e.g., compiling compliance reports or supporting obsolescence planning) Testing & integration of new equipment (e.g., time interval counters) Maintaining accurate records and contributing to information management Building domain-specific knowledge Ad-hoc data processing / analyses About You Reporting to a Senior Engineer, you'll play a pivotal role in the design of critical UK infrastructure that pushes the boundaries of measurement accuracy for the UK's new resilient Time Scale. Essential skills: A degree in a relevant field of Engineering or Science (or equivalent experience) A rigorous approach to problem solving and the ability to develop solutions to difficult problems Good time management with the ability to shift focus based on changing priorities Advantageous: Experience in Time Scales, Atomic Clocks, or Time and Frequency measurement Experience working in engineering or research and development environments Experience working in a laboratory setting Scripting (e.g., using Python or Bash) We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the Time & Frequency department, you will need to have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical. About Us The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled, black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme. At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we hold memberships and accreditations to ensure we're creating an environment where all our colleagues feel supported and welcome, please see our Diversity & Inclusion page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of benefits . Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we're always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us. As part of our commitment to diversity & inclusion, we signed up to the Institute of Physics' Project Juno in 2015 as a Juno Supporter. NPL were proud to be awarded Juno Practitioner status in 2018. NPL also joined Stonewall as a Diversity champion in 2015, participating in their annual Workplace Equality Index for the equality of LGBT+ community at NPL. In 2018, NPL became a member of the Business Disability Forum and joined the disability confident scheme as level 1 committed employer. To ensure everyone has an equal chance, we're always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.
We are looking for a Python Developerwith strong GIS experience to join our growing team. As a part of the client solutions team at Verisk Maplecroft you will be a part of the team charged with using technology to create, collate and deliver data analytics and intelligence to our clients in a geospatial context. We are primarily a Python/Django house with an Angular front end. We recently moved to AWS for our cloud operations, and our approach to technology and development is constantly evolving. We are building a team that is able to utilize cloud computing to develop new workflows, pipelines, features and tools that give our clients the information they need to make the right decisions to create a more sustainable and resilient world. Geospatial data forms are a significant component of the data structures used within Verisk Maplecroft, and with an increasing availability of geospatial data in the modern era, exploiting that data to provide risk insights to our client's is a primary objective of the client solutions team and this role. Responsibilities Working in an agile team and assisting in requirements gathering, refinement, and delivery of continual improvements to our mapping solutions and GIS data pipelines Supporting and working with contractors to ensure effective collaborative effort and consistency of approach Communicate and collaborate effectively with team members on technical projects Deliver high-quality, maintainable well-tested code that meets user requirements Peer review other developers' work in a thorough and constructive manner Look for and drive opportunities to improve code quality, development processes, and team satisfaction Provide mentoring to more junior members of the team Qualifications About You and How You Can Excel in This Role Strong python development experience, able to follow PEP8 standards Experience of developing GIS pipelines in python, leveraging open source libraries such as Fiona, Shapely, Numpy and Rasterio Ability to communicate effectively, explaining and rationalizing design decisions to a cross functional team. Experience in object-oriented programming concepts, unit & integration testing, data and relational databases, technical database design, web architecture and application servers. Understanding and experience of geoservers, spatial projections, raster and vector manipulation within python and usage of GDAL Experience with AWS and data management tools, including data lake, data warehouse ETL, SQL based storage and PostgreSQL. Ability to designand implement data pipelines and data-related solutions, ideally within a cloud environment Strong ability to document development including database design, application design and ongoing documentation of changes and modifications. Deep understanding about performance and scalability implications in the development process Working knowledge of all phases of the software development life cycle.Including basic understanding of identifyand authentication management concepts and concepts related to security, such as secret management and key management. Ability to review code written by others and provide feedback and recommendations to follow coding guideline. Experience working with Business Intelligence teams, Developers, Data Scientists, Analysts and PM's to deliver well-architected and scalable Big Data & Analytics eco-system Demonstrated ability to learn and adapt to continuously changing technology. Must be able to identify multiple solutions to a given problem and find a rational, fact-based approach forchoosing the best one. About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companiesand by Forbesas a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions - delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Job Category Technical Product Development Posting Date 07/29/2025, 09:25 AM Job Schedule Full time Locations London, United Kingdom Bath, Avon, United Kingdom Manchester, Greater Manchester, United Kingdom Edinburgh, Midlothian, United Kingdom
Aug 16, 2025
Full time
We are looking for a Python Developerwith strong GIS experience to join our growing team. As a part of the client solutions team at Verisk Maplecroft you will be a part of the team charged with using technology to create, collate and deliver data analytics and intelligence to our clients in a geospatial context. We are primarily a Python/Django house with an Angular front end. We recently moved to AWS for our cloud operations, and our approach to technology and development is constantly evolving. We are building a team that is able to utilize cloud computing to develop new workflows, pipelines, features and tools that give our clients the information they need to make the right decisions to create a more sustainable and resilient world. Geospatial data forms are a significant component of the data structures used within Verisk Maplecroft, and with an increasing availability of geospatial data in the modern era, exploiting that data to provide risk insights to our client's is a primary objective of the client solutions team and this role. Responsibilities Working in an agile team and assisting in requirements gathering, refinement, and delivery of continual improvements to our mapping solutions and GIS data pipelines Supporting and working with contractors to ensure effective collaborative effort and consistency of approach Communicate and collaborate effectively with team members on technical projects Deliver high-quality, maintainable well-tested code that meets user requirements Peer review other developers' work in a thorough and constructive manner Look for and drive opportunities to improve code quality, development processes, and team satisfaction Provide mentoring to more junior members of the team Qualifications About You and How You Can Excel in This Role Strong python development experience, able to follow PEP8 standards Experience of developing GIS pipelines in python, leveraging open source libraries such as Fiona, Shapely, Numpy and Rasterio Ability to communicate effectively, explaining and rationalizing design decisions to a cross functional team. Experience in object-oriented programming concepts, unit & integration testing, data and relational databases, technical database design, web architecture and application servers. Understanding and experience of geoservers, spatial projections, raster and vector manipulation within python and usage of GDAL Experience with AWS and data management tools, including data lake, data warehouse ETL, SQL based storage and PostgreSQL. Ability to designand implement data pipelines and data-related solutions, ideally within a cloud environment Strong ability to document development including database design, application design and ongoing documentation of changes and modifications. Deep understanding about performance and scalability implications in the development process Working knowledge of all phases of the software development life cycle.Including basic understanding of identifyand authentication management concepts and concepts related to security, such as secret management and key management. Ability to review code written by others and provide feedback and recommendations to follow coding guideline. Experience working with Business Intelligence teams, Developers, Data Scientists, Analysts and PM's to deliver well-architected and scalable Big Data & Analytics eco-system Demonstrated ability to learn and adapt to continuously changing technology. Must be able to identify multiple solutions to a given problem and find a rational, fact-based approach forchoosing the best one. About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companiesand by Forbesas a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions - delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Job Category Technical Product Development Posting Date 07/29/2025, 09:25 AM Job Schedule Full time Locations London, United Kingdom Bath, Avon, United Kingdom Manchester, Greater Manchester, United Kingdom Edinburgh, Midlothian, United Kingdom
Are you ready to transform the insurance industry? Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. Having achieved rapid growth since being founded in 2011, we've won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK's No.1-rated home insurer by Review Centre since 2013. This is an exciting time for us as we expand our Data Science capabilities to support our ambitious growth plans. We are embarking on a new chapter where we are increasing the use of data science and real-time ML engineering techniques to take our market leading models to the next level. And the customer is at the centre of this ambition. We have a plethora of datasets and cutting-edge technologies that can (and should!) be leveraged to create propositions that customers will rely on and love. Your day to day: As a Data Scientist you will be building predictive statistical models and machine learning models and pipelines to drive business growth. You will work with ML Engineers to ensure those are deployed in production and delivering real value. Activities will include: Developing data science and ML solutions (using, e.g., python, SQL, GBM, random forests) to drive growth, solve problems and increase automation across the business. Work within a cross-functional team (product managers, ML engineers, analysts) to deliver business goals. Influence and input into priorities using data to quantify new opportunities. Design and monitor A/B tests isolate the impact of initiatives. Be a champion of data science and ML, communicating its value to colleagues across the business. Who are you: Experience building machine learning models and deploying them into production, working with ML Engineers. Good programming skills with Python and good working knowledge of SQL and experience querying large datasets. Ability to apply knowledge in statistics and machine learning to real world problems. Demonstrate in-depth knowledge of data science tools and techniques, which you can use to solve problems creatively and to create opportunities for the business. A desire to interact with stakeholders and translating business problems into practical solutions Good team working and communication skills with ability to explain complex techniques to non-technical audience. Able to work with Data Engineers to identify the data engineering requirements for a data science product. Understand the need to cleanse and prepare data before including it in data science products Understand software architecture and how to write efficient, optimised code. Knowledge of the insurance industry would be an advantage but not essential. Ideally you will have experience working with the GCP vertex AI, or similar services. Nice to have experience with creating solutions using GenAI This role will be based in our London office in a 50/50 Hybrid mode. We match your pension contributions up to 7% Learning budget of £1,000 a year + Study leave (with encouragement to use it) Enhanced maternity & paternity Travel season ticket loan ️ Access to a wide selection of London O2 events and use of a Private Lounge What We Stand for and Next Steps "We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual's skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment" At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support. We aim to be in touch within 14 working days of your application - you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements. Interested in building your career at Policy Expert? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Will you require sponsorship for this position? Select What are your salary expectations? Are you happy with a Hybrid working environment (50/50)? Select
Aug 15, 2025
Full time
Are you ready to transform the insurance industry? Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. Having achieved rapid growth since being founded in 2011, we've won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK's No.1-rated home insurer by Review Centre since 2013. This is an exciting time for us as we expand our Data Science capabilities to support our ambitious growth plans. We are embarking on a new chapter where we are increasing the use of data science and real-time ML engineering techniques to take our market leading models to the next level. And the customer is at the centre of this ambition. We have a plethora of datasets and cutting-edge technologies that can (and should!) be leveraged to create propositions that customers will rely on and love. Your day to day: As a Data Scientist you will be building predictive statistical models and machine learning models and pipelines to drive business growth. You will work with ML Engineers to ensure those are deployed in production and delivering real value. Activities will include: Developing data science and ML solutions (using, e.g., python, SQL, GBM, random forests) to drive growth, solve problems and increase automation across the business. Work within a cross-functional team (product managers, ML engineers, analysts) to deliver business goals. Influence and input into priorities using data to quantify new opportunities. Design and monitor A/B tests isolate the impact of initiatives. Be a champion of data science and ML, communicating its value to colleagues across the business. Who are you: Experience building machine learning models and deploying them into production, working with ML Engineers. Good programming skills with Python and good working knowledge of SQL and experience querying large datasets. Ability to apply knowledge in statistics and machine learning to real world problems. Demonstrate in-depth knowledge of data science tools and techniques, which you can use to solve problems creatively and to create opportunities for the business. A desire to interact with stakeholders and translating business problems into practical solutions Good team working and communication skills with ability to explain complex techniques to non-technical audience. Able to work with Data Engineers to identify the data engineering requirements for a data science product. Understand the need to cleanse and prepare data before including it in data science products Understand software architecture and how to write efficient, optimised code. Knowledge of the insurance industry would be an advantage but not essential. Ideally you will have experience working with the GCP vertex AI, or similar services. Nice to have experience with creating solutions using GenAI This role will be based in our London office in a 50/50 Hybrid mode. We match your pension contributions up to 7% Learning budget of £1,000 a year + Study leave (with encouragement to use it) Enhanced maternity & paternity Travel season ticket loan ️ Access to a wide selection of London O2 events and use of a Private Lounge What We Stand for and Next Steps "We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual's skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment" At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support. We aim to be in touch within 14 working days of your application - you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements. Interested in building your career at Policy Expert? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Will you require sponsorship for this position? Select What are your salary expectations? Are you happy with a Hybrid working environment (50/50)? Select
