ROYAL COLLEGE OF PATHOLOGISTS
Tower Hamlets, London
About you An experienced leader with a track record of delivering complex programmes of work, ideally within in a healthcare setting. You excel at driving improvement and managing high-performing teams. You combine a strategic mindset with the ability to translate complex data into the clear insights needed for effective advocacy and decision-making. A natural collaborator, you build influential relationships with senior clinicians, volunteers, and external partners to support meaningful change. If you are ready to turn ambitious plans into action, this is your chance to shape the future of pathology-ensuring the sector has the intelligence and resources it needs to deliver excellent patient care. About the College The Royal College of Pathologists is a professional membership organisation with charitable status concerned with all matters relating to the science and practice of pathology. It is a body of its Fellows, Diplomates, Affiliates and trainees, supported by the staff who are based at the College's London offices. The College is a charity with over 13000 members worldwide. The majority of members are doctors and scientists working in hospitals and universities in the UK. The College oversees the training of pathologists and scientists working in 17 different specialties, which include cellular pathology, haematology, clinical biochemistry and medical microbiology. Although some pathologists work in laboratories, many work directly with patients in hospitals and the community. Together, they are involved in the majority of all diagnoses and play an important role in disease prevention, treatment, and monitoring. If you have ever had a blood test, cervical smear or tissue biopsy, a pathologist will have been involved in your care. The Royal College of Pathologists understands the value and strength that diversity brings and we are proud to be an organisation of members from a wide range of backgrounds. We are keen to encourage and enable more people of all identities and from all backgrounds to become involved in the College. Interviews currently expected to be 27 and 28 May 2026. We reserve the right to close the position early if we receive a large number of suitable applications.
Apr 18, 2026
Full time
About you An experienced leader with a track record of delivering complex programmes of work, ideally within in a healthcare setting. You excel at driving improvement and managing high-performing teams. You combine a strategic mindset with the ability to translate complex data into the clear insights needed for effective advocacy and decision-making. A natural collaborator, you build influential relationships with senior clinicians, volunteers, and external partners to support meaningful change. If you are ready to turn ambitious plans into action, this is your chance to shape the future of pathology-ensuring the sector has the intelligence and resources it needs to deliver excellent patient care. About the College The Royal College of Pathologists is a professional membership organisation with charitable status concerned with all matters relating to the science and practice of pathology. It is a body of its Fellows, Diplomates, Affiliates and trainees, supported by the staff who are based at the College's London offices. The College is a charity with over 13000 members worldwide. The majority of members are doctors and scientists working in hospitals and universities in the UK. The College oversees the training of pathologists and scientists working in 17 different specialties, which include cellular pathology, haematology, clinical biochemistry and medical microbiology. Although some pathologists work in laboratories, many work directly with patients in hospitals and the community. Together, they are involved in the majority of all diagnoses and play an important role in disease prevention, treatment, and monitoring. If you have ever had a blood test, cervical smear or tissue biopsy, a pathologist will have been involved in your care. The Royal College of Pathologists understands the value and strength that diversity brings and we are proud to be an organisation of members from a wide range of backgrounds. We are keen to encourage and enable more people of all identities and from all backgrounds to become involved in the College. Interviews currently expected to be 27 and 28 May 2026. We reserve the right to close the position early if we receive a large number of suitable applications.
Education Partnerships Manager Location: London, Hybrid (3 days in the office) Salary: £45,000 Basic + Bonus Our client, a fast-growing intellectual media and education platform, is recruiting an ambitious Education Partnerships Manager to drive the expansion of its content across universities and educational institutions worldwide. At the heart of its offering is a rapidly growing digital educational platform, used by universities and schools globally to access cutting-edge debates and talks featuring leading thinkers, scientists, politicians and artists. This is an exciting opportunity for a commercially minded partnerships professional to help scale adoption across higher education. As Education Partnerships Manager, you will play a key role in expanding the organisation's presence across universities and educational institutions globally. You will lead sales activity within the education segment, building relationships with academic institutions and converting engagement into long-term subscription partnerships. Key Responsibilities: Developing and executing outreach to universities and educational institutions Initiating and managing subscription trials and converting these into long-term partnerships Identifying opportunities to align platform content with specific courses, curricula and student needs Driving new revenue through education sector subscriptions Managing and nurturing relationships with existing institutional partners Supporting and guiding sales activity within the education partnerships team We are looking for a dynamic, commercially driven individual who is excited by the opportunity to bring world-class intellectual content to students and educators worldwide. You will likely have: 2+ years' experience in sales or partnerships within the education or EdTech sector A proven track record of originating and developing partnerships or subscriptions Strong relationship-building and communication skills A commercial mindset, with ambition and energy to drive growth The confidence, charisma and initiative to open doors and close deals A genuine interest in ideas, culture, education or intellectual debate A strong academic background (minimum 2:1 from a top university) Experience leading or mentoring team members would be advantageous. Leading experts in STM Publishing & Digital Content Recruitment Referrals: We offer a reward if you recommend the perfect candidate for this position and our client hires them. You can send contact details of anyone you want to recommend to
Apr 18, 2026
Full time
Education Partnerships Manager Location: London, Hybrid (3 days in the office) Salary: £45,000 Basic + Bonus Our client, a fast-growing intellectual media and education platform, is recruiting an ambitious Education Partnerships Manager to drive the expansion of its content across universities and educational institutions worldwide. At the heart of its offering is a rapidly growing digital educational platform, used by universities and schools globally to access cutting-edge debates and talks featuring leading thinkers, scientists, politicians and artists. This is an exciting opportunity for a commercially minded partnerships professional to help scale adoption across higher education. As Education Partnerships Manager, you will play a key role in expanding the organisation's presence across universities and educational institutions globally. You will lead sales activity within the education segment, building relationships with academic institutions and converting engagement into long-term subscription partnerships. Key Responsibilities: Developing and executing outreach to universities and educational institutions Initiating and managing subscription trials and converting these into long-term partnerships Identifying opportunities to align platform content with specific courses, curricula and student needs Driving new revenue through education sector subscriptions Managing and nurturing relationships with existing institutional partners Supporting and guiding sales activity within the education partnerships team We are looking for a dynamic, commercially driven individual who is excited by the opportunity to bring world-class intellectual content to students and educators worldwide. You will likely have: 2+ years' experience in sales or partnerships within the education or EdTech sector A proven track record of originating and developing partnerships or subscriptions Strong relationship-building and communication skills A commercial mindset, with ambition and energy to drive growth The confidence, charisma and initiative to open doors and close deals A genuine interest in ideas, culture, education or intellectual debate A strong academic background (minimum 2:1 from a top university) Experience leading or mentoring team members would be advantageous. Leading experts in STM Publishing & Digital Content Recruitment Referrals: We offer a reward if you recommend the perfect candidate for this position and our client hires them. You can send contact details of anyone you want to recommend to
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Apr 18, 2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Select how often (in days) to receive an alert: At Vodafone, we're working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference. About this Role The Data Engineer will design, develop, and maintain data solutions leveraging Google Cloud Platform (GCP) and Python. This role is critical for building scalable data pipelines, optimising performance, and ensuring data integrity across multiple systems. The individual will collaborate with cross-functional teams to deliver high-quality data products that support business decisions. Who are you A collaborative professional with strong problem-solving skills and attention to detail. Comfortable working in dynamic environments and adapting to evolving business needs. Passionate about data engineering and committed to delivering reliable, efficient solutions. What you will do Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load large datasets into GCP-based platforms (e.g., BigQuery, Cloud Storage). Optimise data pipelines for performance, reliability, and scalability. Develop and manage data models, schemas, and storage solutions aligned with best practices. Leverage GCP services such as Cloud Composer, Dataflow, Pub/Sub, and Cloud Functions to build automated workflows. Implement data validation, cleansing, and quality checks to maintain accuracy and integrity. Collaborate with data scientists, analysts, and business stakeholders to define and execute data requirements. Set up monitoring systems to track pipeline performance and ensure timely delivery. What skills you need Proficiency in Python for building and deploying data processing scripts. Strong expertise in GCP services, especially BigQuery, Cloud Storage, Cloud Functions, Cloud Composer, and Pub/Sub. Experience with SQL for querying and processing data. Familiarity with workflow orchestration tools like Apache Airflow. Knowledge of version control systems (e.g., Git). Excellent communication and stakeholder management skills. What skills you will learn Advanced GCP features and emerging cloud technologies. Best practices for cost optimisation and performance tuning in cloud environments. Integration of streaming solutions like Kafka with Python SDK. About Vodafone We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same. Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included. Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded. We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business. We actively encourage everyone to consider becoming a part of our journey.
Apr 18, 2026
Full time
Select how often (in days) to receive an alert: At Vodafone, we're working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference. About this Role The Data Engineer will design, develop, and maintain data solutions leveraging Google Cloud Platform (GCP) and Python. This role is critical for building scalable data pipelines, optimising performance, and ensuring data integrity across multiple systems. The individual will collaborate with cross-functional teams to deliver high-quality data products that support business decisions. Who are you A collaborative professional with strong problem-solving skills and attention to detail. Comfortable working in dynamic environments and adapting to evolving business needs. Passionate about data engineering and committed to delivering reliable, efficient solutions. What you will do Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load large datasets into GCP-based platforms (e.g., BigQuery, Cloud Storage). Optimise data pipelines for performance, reliability, and scalability. Develop and manage data models, schemas, and storage solutions aligned with best practices. Leverage GCP services such as Cloud Composer, Dataflow, Pub/Sub, and Cloud Functions to build automated workflows. Implement data validation, cleansing, and quality checks to maintain accuracy and integrity. Collaborate with data scientists, analysts, and business stakeholders to define and execute data requirements. Set up monitoring systems to track pipeline performance and ensure timely delivery. What skills you need Proficiency in Python for building and deploying data processing scripts. Strong expertise in GCP services, especially BigQuery, Cloud Storage, Cloud Functions, Cloud Composer, and Pub/Sub. Experience with SQL for querying and processing data. Familiarity with workflow orchestration tools like Apache Airflow. Knowledge of version control systems (e.g., Git). Excellent communication and stakeholder management skills. What skills you will learn Advanced GCP features and emerging cloud technologies. Best practices for cost optimisation and performance tuning in cloud environments. Integration of streaming solutions like Kafka with Python SDK. About Vodafone We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same. Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included. Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded. We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business. We actively encourage everyone to consider becoming a part of our journey.
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Hybrid role - 2 to 3 days a week on site Role Purpose The Digital Marketing Data Scientist / Marketing Effectiveness Lead will advance Logitech's marketing science capabilities within the Digital Marketing Center of Excellence (COE).This role will focus on developing advanced measurement methodologies, predictive analytics, and marketing effectiveness models across Paid Media, Organic Channels, Social Media, Creators ecosystems, and Software Marketing initiatives .Working closely with the Head of Digital Marketing Analytics, this role will help the organization evolve from descriptive reporting toward causal measurement, experimentation, and AI-powered marketing insights , enabling more effective marketing investment decisions across paid media and organic growth channels . Key Responsibilities Marketing Effectiveness & Attribution Modeling Develop and maintain advanced marketing measurement methodologies including Marketing Mix Modeling (MMM), incrementality testing, and causal inference frameworks . Build attribution models capturing the combined impact of paid media, organic marketing channels, creators ecosystems, and software growth initiatives . Support measurement of product-led growth signals including software adoption, engagement, retention, and lifecycle marketing performance . Advanced Analytics & Predictive Modeling Build predictive models to forecast marketing performance across paid and organic channels . Identify key drivers of marketing performance across search, social, creators ecosystems, SEO, and software adoption signals . Develop analytical models supporting budget allocation, media mix optimization, and marketing ROI forecasting . Experimentation & Testing Frameworks Design and implement experimentation methodologies to evaluate marketing initiatives. Partner with Paid Media, Social Media, Creators, and Organic teams to run incrementality tests and controlled experiments . Establish best practices for testing creative formats, organic content strategies, creators programs, and channel investment strategies . AI-Driven Insights & Automation Leverage machine learning and AI tools to automate insights generation and anomaly detection. Develop frameworks identifying performance trends across paid, organic, and earned . Support the evolution of AI-powered analytics capabilities within the COE . Emerging Channel Measurement Develop measurement models for AI discovery channels and generative search platforms . Analyze performance signals related to LLMO / AEO visibility and AI-generated traffic sources . Data Integration & Analytics Infrastructure Leverage the Marketing Data Hub (Snowflake), Adverity ETL infrastructure, and Tableau dashboards to build scalable analytics solutions. Integrate datasets spanning paid media platforms, organic channels, creators platforms, web analytics, and software marketing analytics . Partner with Ad Tech and Digital Office teams to ensure high-quality data pipelines supporting analytical modeling. Strategic Insights & Collaboration Translate advanced analytical findings into actionable insights for marketing leaders. Partner with Business Groups, Regions, and Product teams to guide marketing investment and growth strategies . Support the Head of Digital Marketing Analytics and COE team members in building a data-driven marketing culture across the organization . Profile & Requirements 6-8 years experience in marketing analytics, marketing science, data science, or quantitative marketing roles . Strong expertise in marketing effectiveness measurement (MMM, incrementality testing, attribution modeling) . Experience working with large marketing and product datasets . Strong programming skills (Python, R, SQL or equivalent). Familiarity with digital marketing ecosystems including paid media platforms, organic marketing channels, creators ecosystems, and product analytics tools . Experience working with data warehouses and BI platforms (Snowflake, Tableau or equivalent). Ability to translate advanced analytical models into clear and actionable business recommendations . Comfortable working in a global, cross-functional environment spanning marketing, analytics, and technology teams .Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can't wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1- for assistance and we will get back to you as soon as possible.At Logitech, we live our values and expect you to show the same to become one of us. Be who you are, come prepared, and we'll try to make it enjoyable in the process. Generally, the process is simple, and as quick as possible.
Apr 18, 2026
Full time
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Hybrid role - 2 to 3 days a week on site Role Purpose The Digital Marketing Data Scientist / Marketing Effectiveness Lead will advance Logitech's marketing science capabilities within the Digital Marketing Center of Excellence (COE).This role will focus on developing advanced measurement methodologies, predictive analytics, and marketing effectiveness models across Paid Media, Organic Channels, Social Media, Creators ecosystems, and Software Marketing initiatives .Working closely with the Head of Digital Marketing Analytics, this role will help the organization evolve from descriptive reporting toward causal measurement, experimentation, and AI-powered marketing insights , enabling more effective marketing investment decisions across paid media and organic growth channels . Key Responsibilities Marketing Effectiveness & Attribution Modeling Develop and maintain advanced marketing measurement methodologies including Marketing Mix Modeling (MMM), incrementality testing, and causal inference frameworks . Build attribution models capturing the combined impact of paid media, organic marketing channels, creators ecosystems, and software growth initiatives . Support measurement of product-led growth signals including software adoption, engagement, retention, and lifecycle marketing performance . Advanced Analytics & Predictive Modeling Build predictive models to forecast marketing performance across paid and organic channels . Identify key drivers of marketing performance across search, social, creators ecosystems, SEO, and software adoption signals . Develop analytical models supporting budget allocation, media mix optimization, and marketing ROI forecasting . Experimentation & Testing Frameworks Design and implement experimentation methodologies to evaluate marketing initiatives. Partner with Paid Media, Social Media, Creators, and Organic teams to run incrementality tests and controlled experiments . Establish best practices for testing creative formats, organic content strategies, creators programs, and channel investment strategies . AI-Driven Insights & Automation Leverage machine learning and AI tools to automate insights generation and anomaly detection. Develop frameworks identifying performance trends across paid, organic, and earned . Support the evolution of AI-powered analytics capabilities within the COE . Emerging Channel Measurement Develop measurement models for AI discovery channels and generative search platforms . Analyze performance signals related to LLMO / AEO visibility and AI-generated traffic sources . Data Integration & Analytics Infrastructure Leverage the Marketing Data Hub (Snowflake), Adverity ETL infrastructure, and Tableau dashboards to build scalable analytics solutions. Integrate datasets spanning paid media platforms, organic channels, creators platforms, web analytics, and software marketing analytics . Partner with Ad Tech and Digital Office teams to ensure high-quality data pipelines supporting analytical modeling. Strategic Insights & Collaboration Translate advanced analytical findings into actionable insights for marketing leaders. Partner with Business Groups, Regions, and Product teams to guide marketing investment and growth strategies . Support the Head of Digital Marketing Analytics and COE team members in building a data-driven marketing culture across the organization . Profile & Requirements 6-8 years experience in marketing analytics, marketing science, data science, or quantitative marketing roles . Strong expertise in marketing effectiveness measurement (MMM, incrementality testing, attribution modeling) . Experience working with large marketing and product datasets . Strong programming skills (Python, R, SQL or equivalent). Familiarity with digital marketing ecosystems including paid media platforms, organic marketing channels, creators ecosystems, and product analytics tools . Experience working with data warehouses and BI platforms (Snowflake, Tableau or equivalent). Ability to translate advanced analytical models into clear and actionable business recommendations . Comfortable working in a global, cross-functional environment spanning marketing, analytics, and technology teams .Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can't wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1- for assistance and we will get back to you as soon as possible.At Logitech, we live our values and expect you to show the same to become one of us. Be who you are, come prepared, and we'll try to make it enjoyable in the process. Generally, the process is simple, and as quick as possible.
Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are an early-career software developer or recent graduate with a keen interest in generating real-world impact with industrial applications. Must have: A recent degree in a STEM field (e.g., engineering, physics, mathematics, computer science). Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes. Strong communication skills. Programming experience with any of C#, Rust, or other typed languages; Interest in cloud technologies: e.g. AWS or Azure. Eligibility to work in the UK. Nice to have: Understanding of software engineering best practices. Some exposure to applied experience, e.g., internships, research projects, or personal projects. Familiarity with DevOps tools like Kubernetes, HashiCorp Nomad, Docker. Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security; Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Customer interaction experience. Bonus: Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch); Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do You will have opportunities to contribute to exciting projects and grow your career in a supportive environment: (60%) Support the development and testing of features, fixes and general improvements to the core Quaisr product. Investigate and address production issues (20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery. (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars. What we offer Salary range of £45,000 to £55,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our hiring process (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you. (90 mins) Technical call with two Quaisr team members. We'll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think! (60 mins) Online coding exercise (with a Quaisr team member on the call) covering basic software development concepts. (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV (max 2 pages) to . Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.
Apr 18, 2026
Full time
Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are an early-career software developer or recent graduate with a keen interest in generating real-world impact with industrial applications. Must have: A recent degree in a STEM field (e.g., engineering, physics, mathematics, computer science). Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes. Strong communication skills. Programming experience with any of C#, Rust, or other typed languages; Interest in cloud technologies: e.g. AWS or Azure. Eligibility to work in the UK. Nice to have: Understanding of software engineering best practices. Some exposure to applied experience, e.g., internships, research projects, or personal projects. Familiarity with DevOps tools like Kubernetes, HashiCorp Nomad, Docker. Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security; Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Customer interaction experience. Bonus: Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch); Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do You will have opportunities to contribute to exciting projects and grow your career in a supportive environment: (60%) Support the development and testing of features, fixes and general improvements to the core Quaisr product. Investigate and address production issues (20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery. (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars. What we offer Salary range of £45,000 to £55,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our hiring process (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you. (90 mins) Technical call with two Quaisr team members. We'll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think! (60 mins) Online coding exercise (with a Quaisr team member on the call) covering basic software development concepts. (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV (max 2 pages) to . Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.
Job Description: DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone. Machine Learning Ops Engineer Location: Erskine, Newcastle, Farnborough or London Candidates must be eligible for clearance Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment. If you don't meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn. Key Responsibilities Deploying, monitoring, and scaling machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with cloud-native ML platforms is advantageous. Why Join Us Be part of a cutting-edge AI community driving digital transformation across the UKI. Work at the intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoption within some of the UK's most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Apr 18, 2026
Full time
Job Description: DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone. Machine Learning Ops Engineer Location: Erskine, Newcastle, Farnborough or London Candidates must be eligible for clearance Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment. If you don't meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn. Key Responsibilities Deploying, monitoring, and scaling machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with cloud-native ML platforms is advantageous. Why Join Us Be part of a cutting-edge AI community driving digital transformation across the UKI. Work at the intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoption within some of the UK's most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Overview 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 both a business- and technology-focused role, spanning problems from designing reusable data products to serve the business's data needs, through to making recommendations for data engineers to optimise data pipelines. It requires applying both engineering practices and business logic to raw data, to clean, transform and produce datasets fit for consumption and use by other business areas, data analysts and data scientists to suit defined use cases, and making them accessible and quickly understandable through documentation, metadata, observability, and training, to empower end users to answer their own analytics questions. Qualifications Strong data analytics background, including investigation into raw data via both SQL querying (any dialect) and Excel, report and dashboard production, and business recommendations based on the story told by the data. This ensures you understand the business questions that Analytics Engineers need to provide the data to answer. Experience automating reporting processes and using BI/reporting platforms to present data for self-service consumption Experience designing and building new datasets to service specific data needs, applying critical considerations like efficiency, definitions, granularity, naming conventions, keys and indexes, etc. Ability to deconstruct larger problems into smaller steps and understand the dependencies between them An understanding of data quality concepts such as completeness, correctness, validation, and recency Ability to adjust to new languages or environments as we evolve our data capability and explore new technologies and solutions Experience and desire to fully and completely document data to make it instantly usable by the widest audience possible Strong communication skills and ability to explain complex technical details to non-technical stakeholders Willingness and drive for continuous development of both own skills and the data capability of the business Interest in exploring new technologies in the data industry Insurance industry experience would be considered an advantage Familiarity or experience with the following technologies or similar would be considered a significant advantage: dbt, Google BigQuery, GCS, Google Dataplex Familiarity with any of the following concepts would be considered an advantage: version control (GitHub), end-to-end testing, data contracts and cataloguing, data access controls and security Benefits 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 Equal Opportunity & 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.
Apr 18, 2026
Full time
Overview 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 both a business- and technology-focused role, spanning problems from designing reusable data products to serve the business's data needs, through to making recommendations for data engineers to optimise data pipelines. It requires applying both engineering practices and business logic to raw data, to clean, transform and produce datasets fit for consumption and use by other business areas, data analysts and data scientists to suit defined use cases, and making them accessible and quickly understandable through documentation, metadata, observability, and training, to empower end users to answer their own analytics questions. Qualifications Strong data analytics background, including investigation into raw data via both SQL querying (any dialect) and Excel, report and dashboard production, and business recommendations based on the story told by the data. This ensures you understand the business questions that Analytics Engineers need to provide the data to answer. Experience automating reporting processes and using BI/reporting platforms to present data for self-service consumption Experience designing and building new datasets to service specific data needs, applying critical considerations like efficiency, definitions, granularity, naming conventions, keys and indexes, etc. Ability to deconstruct larger problems into smaller steps and understand the dependencies between them An understanding of data quality concepts such as completeness, correctness, validation, and recency Ability to adjust to new languages or environments as we evolve our data capability and explore new technologies and solutions Experience and desire to fully and completely document data to make it instantly usable by the widest audience possible Strong communication skills and ability to explain complex technical details to non-technical stakeholders Willingness and drive for continuous development of both own skills and the data capability of the business Interest in exploring new technologies in the data industry Insurance industry experience would be considered an advantage Familiarity or experience with the following technologies or similar would be considered a significant advantage: dbt, Google BigQuery, GCS, Google Dataplex Familiarity with any of the following concepts would be considered an advantage: version control (GitHub), end-to-end testing, data contracts and cataloguing, data access controls and security Benefits 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 Equal Opportunity & 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.
# About the Business Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £141.2 billion in customer investments (as of December 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us!# About the Role Level: 5Department: CDOLocation: Southampton or LondonContract type: PermanentThe role sits within the Chief Data Office (CDO) and reports to the Head of Data Platforms.This role accelerates Quilter's data strategy by defining engineering standards, building scalable data platforms, and leading a high performing data engineering team. The Data Engineering Manager plays a pivotal role in delivering business value through enabling actionable insights. This position partners with colleagues and stakeholders across the organisation to transform raw data into usable, reliable, high quality data products. The role requires a blend of technical expertise, business acumen, and team leadership skills to create a data-driven culture across the organisation.The key accountabilities for the role are as follows:Team Management & Growth Lead a team of data engineers through coaching, mentorship, and technical guidance Support individual career development and performance feedback, creating growth opportunities for your team Foster a collaborative, inclusive, and high-performance team cultureTechnical Oversight & Delivery Defining Data engineering standards and best practices to ensure robust, efficient and secure product delivery. Guide the design and implementation of scalable data pipelines and data products Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practicesCross-Functional Collaboration Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritise work Work closely with platform and data analysis teams to develop delivery process to continually improve business outcomes Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects Communicate clearly across technical and non-technical teams to align on priorities and progressOperational Excellence Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams Drive continuous improvement in development workflows and team productivity# About You Qualifications Degree in a technical discipline (e.g. computer science, engineering, maths, physics) or evidence of equivalent practical experienceKnowledge/Experience: Proven experience in managing and growing technical teams within a complex business environment Strong technical hand on experience in building and maintaining data pipelines on a Databricks and Fabric environments within Azure Experience in implementing batch and stream pipelines in a kappa architecture Experience implementing data quality frameworks, SLAs, and observability tooling. Familiarity with data governance practices (lineage, cataloguing, access control). Ensuring compliance with regulatory requirements (e.g., GDPR, data retention controls). Setting technical direction and establishing engineering standards. Managing roadmaps, sprint planning, and delivery across multiple projects or squads Experience of data engineering across multiple layers and modelling techniques including a Kimball and Data VaultSkills: Strategic thinker with curious mindset and strong problem-solving skills Ability to communicate complex concepts in a clear, concise manner Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Clusters, MLflow. Azure: ADLS Gen2, Azure Data Factory, Event Hubs/Kafka, Key Vault, Functions, Synapse. Spark: Strong knowledge of Spark internals, optimisation, partitioning, performance tuning. Languages: Python, SQL, optionally Scala. CI/CD: Azure DevOps pipelines with asset bundles for data engineering deployments. Orchestration: ADF, Databricks Workflows, or other scheduling frameworks. Knowledge of Data Modelling: Kimball, Data Vault. Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. We create brighter
Apr 17, 2026
Full time
# About the Business Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £141.2 billion in customer investments (as of December 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us!# About the Role Level: 5Department: CDOLocation: Southampton or LondonContract type: PermanentThe role sits within the Chief Data Office (CDO) and reports to the Head of Data Platforms.This role accelerates Quilter's data strategy by defining engineering standards, building scalable data platforms, and leading a high performing data engineering team. The Data Engineering Manager plays a pivotal role in delivering business value through enabling actionable insights. This position partners with colleagues and stakeholders across the organisation to transform raw data into usable, reliable, high quality data products. The role requires a blend of technical expertise, business acumen, and team leadership skills to create a data-driven culture across the organisation.The key accountabilities for the role are as follows:Team Management & Growth Lead a team of data engineers through coaching, mentorship, and technical guidance Support individual career development and performance feedback, creating growth opportunities for your team Foster a collaborative, inclusive, and high-performance team cultureTechnical Oversight & Delivery Defining Data engineering standards and best practices to ensure robust, efficient and secure product delivery. Guide the design and implementation of scalable data pipelines and data products Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practicesCross-Functional Collaboration Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritise work Work closely with platform and data analysis teams to develop delivery process to continually improve business outcomes Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects Communicate clearly across technical and non-technical teams to align on priorities and progressOperational Excellence Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams Drive continuous improvement in development workflows and team productivity# About You Qualifications Degree in a technical discipline (e.g. computer science, engineering, maths, physics) or evidence of equivalent practical experienceKnowledge/Experience: Proven experience in managing and growing technical teams within a complex business environment Strong technical hand on experience in building and maintaining data pipelines on a Databricks and Fabric environments within Azure Experience in implementing batch and stream pipelines in a kappa architecture Experience implementing data quality frameworks, SLAs, and observability tooling. Familiarity with data governance practices (lineage, cataloguing, access control). Ensuring compliance with regulatory requirements (e.g., GDPR, data retention controls). Setting technical direction and establishing engineering standards. Managing roadmaps, sprint planning, and delivery across multiple projects or squads Experience of data engineering across multiple layers and modelling techniques including a Kimball and Data VaultSkills: Strategic thinker with curious mindset and strong problem-solving skills Ability to communicate complex concepts in a clear, concise manner Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Clusters, MLflow. Azure: ADLS Gen2, Azure Data Factory, Event Hubs/Kafka, Key Vault, Functions, Synapse. Spark: Strong knowledge of Spark internals, optimisation, partitioning, performance tuning. Languages: Python, SQL, optionally Scala. CI/CD: Azure DevOps pipelines with asset bundles for data engineering deployments. Orchestration: ADF, Databricks Workflows, or other scheduling frameworks. Knowledge of Data Modelling: Kimball, Data Vault. Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. We create brighter
POSITION SUMMARY You will provide clinical and scientific support for global Phase 14 vaccine clinical studies within the Vaccines portfolio. Working in close partnership with clinical colleagues, this role contributes to study design, clinical data review, safety oversight, and scientific integrity across assigned studies click apply for full job details
Apr 17, 2026
Full time
POSITION SUMMARY You will provide clinical and scientific support for global Phase 14 vaccine clinical studies within the Vaccines portfolio. Working in close partnership with clinical colleagues, this role contributes to study design, clinical data review, safety oversight, and scientific integrity across assigned studies click apply for full job details
MCS Group are delighted to be partnering with a fast-growing global technology company expanding its presence into Belfast and is looking for a Senior Data Scientist to join their brand-new R&D site. This is a rare opportunity to be part of a high-impact team at the start of an exciting new chapter in the city's tech scene. About the Role As a Senior Data Scientist, you'll work with large, complex datasets to build machine learning models, predictive analytics, and data-driven solutions that directly influence business decisions. You'll collaborate closely with engineering, analytics, and product teams to design scalable and reliable data pipelines, develop models in production, and drive insights across the business. What We're Looking For 5+ years' experience in Data Science, Machine Learning, or Data Engineering Focus on LLMs, GenAI, and real-world AI systems Strong programming skills in Python, SQL, and relevant ML frameworks Experience with cloud platforms (AWS, GCP, or Azure) and modern data pipelines Proven ability to translate complex data into actionable insights Strong collaboration and communication skills Why Join Be part of a brand-new FDI into Belfast and shape the team from the ground up Work on cutting-edge AI and ML projects with global impact Hybrid working, flexible benefits, and a supportive, innovative culture Opportunity for career growth in a fast-scaling tech company If you're passionate about data and excited by the chance to make a real impact in Belfast's tech ecosystem, we'd love to hear from you. To speak in absolute confidence about this opportunity please contact Rachael Walker, Principal IT Recruitment Consultant at MCS Groupor click the apply button below. If this position is not right for you, we have others that are. Please visit MCS Group to view a wide selection of our current jobs or give us a call. All conversations will be treated in the strictest of confidence.
Apr 17, 2026
Full time
MCS Group are delighted to be partnering with a fast-growing global technology company expanding its presence into Belfast and is looking for a Senior Data Scientist to join their brand-new R&D site. This is a rare opportunity to be part of a high-impact team at the start of an exciting new chapter in the city's tech scene. About the Role As a Senior Data Scientist, you'll work with large, complex datasets to build machine learning models, predictive analytics, and data-driven solutions that directly influence business decisions. You'll collaborate closely with engineering, analytics, and product teams to design scalable and reliable data pipelines, develop models in production, and drive insights across the business. What We're Looking For 5+ years' experience in Data Science, Machine Learning, or Data Engineering Focus on LLMs, GenAI, and real-world AI systems Strong programming skills in Python, SQL, and relevant ML frameworks Experience with cloud platforms (AWS, GCP, or Azure) and modern data pipelines Proven ability to translate complex data into actionable insights Strong collaboration and communication skills Why Join Be part of a brand-new FDI into Belfast and shape the team from the ground up Work on cutting-edge AI and ML projects with global impact Hybrid working, flexible benefits, and a supportive, innovative culture Opportunity for career growth in a fast-scaling tech company If you're passionate about data and excited by the chance to make a real impact in Belfast's tech ecosystem, we'd love to hear from you. To speak in absolute confidence about this opportunity please contact Rachael Walker, Principal IT Recruitment Consultant at MCS Groupor click the apply button below. If this position is not right for you, we have others that are. Please visit MCS Group to view a wide selection of our current jobs or give us a call. All conversations will be treated in the strictest of confidence.
Description The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key Job Responsibilities Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state of the art approaches Analyze and extract insights from large amounts of data Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language Use modeling tools to bootstrap or test new AI functionalities Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models Basic Qualifications Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) 2+ years experience in computational linguistics or language data processing or AI data creation Experience with language data annotation systems and other forms of data markup Proficient with scripting languages, such as Python Experience working with speech, text, and multimodal data in multiple languages Excellent communication, strong organizational skills and very detail oriented Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications PhD in Computational Linguistics (or equivalent field with computational emphasis) Expertise in bootstrapping AI data collections for quickly evolving requirements Extensive experience working with speech, text, and multimodal data in multiple languages Experience in data creation for complex agentic workflows Practical experience with Machine Learning Familiarity with technical concepts such as APIs Practical knowledge of version control and agile development Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) Willingness to support several projects at one time, and to accept reprioritization as necessary Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. 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.
Apr 17, 2026
Full time
Description The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key Job Responsibilities Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state of the art approaches Analyze and extract insights from large amounts of data Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language Use modeling tools to bootstrap or test new AI functionalities Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models Basic Qualifications Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) 2+ years experience in computational linguistics or language data processing or AI data creation Experience with language data annotation systems and other forms of data markup Proficient with scripting languages, such as Python Experience working with speech, text, and multimodal data in multiple languages Excellent communication, strong organizational skills and very detail oriented Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications PhD in Computational Linguistics (or equivalent field with computational emphasis) Expertise in bootstrapping AI data collections for quickly evolving requirements Extensive experience working with speech, text, and multimodal data in multiple languages Experience in data creation for complex agentic workflows Practical experience with Machine Learning Familiarity with technical concepts such as APIs Practical knowledge of version control and agile development Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) Willingness to support several projects at one time, and to accept reprioritization as necessary Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. 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.
Be part of something amazing At NPL, we are proud to be a world class organisation doing exceptional science, where every role contributes to advancing the UK's prosperity, security and quality of life. Our success comes from attracting people who share our values of curiosity, collaboration and continuous learning. We are seeking a Strategic Business Development Manager to join our Life Sciences & Health team based at our head office location in Teddington. This role is well suited to someone who is building their career in science, engineering or technical commercial roles, and is looking for an environment that supports professional growth and offers a chance to make meaningful national impact. Every day will bring variety and the chance to work with innovative life sciences and health organisations. You will help them understand how NPL's scientific capabilities can unlock new technologies, improve performance, de risk investment, accelerate innovation and enable impact. You will: Build trusted relationships across industry, academia and government, ensuring stakeholders feel valued and supported. Develop a deep understanding of NPL's scientific and engineering capabilities to identify impactful opportunities. Work with researchers to shape collaborative projects, commercial engagements and innovation led programmes. Represent NPL at industry events, technical meetings and customer sites. Contribute to a culture that values collaboration, respect and professional development. Expected Outcomes In this role, you will be expected to: Create and secure opportunities that enable NPL to deliver direct impact with industry-ranging from commercial projects to strategic technical partnerships. Develop collaborative R&D consortia that secure competitive grant funding (e.g., Innovate UK, DSIT, NIHR schemes), ensuring NPL plays a central role in national industrial innovation programmes. Build relationships with key stakeholders to grow NPL's presence and influence across life sciences and health sectors. Support the development of new customer offerings, commercial models and capability strategies aligned with national priorities. Ensure that all interactions reflect NPL's reputation for excellence, scientific integrity and trusted partnership. What We are Looking For Essential Experience Experience of business development, technical engagement, consulting or innovation driven environments in the life sciences and health sectors A degree (or equivalent experience) in a science, engineering or technology discipline. Experience working in a technical, engineering or manufacturing environment, with exposure to varied tasks and problem solving. Confidence and clarity in communicating with engineers, scientists and decision makers. A strong interest in science, engineering and innovation, with the ability to understand and articulate technical concepts. Ability and willingness to travel within the UK. Desirable Background in medical technologies or similar technical roles. Understanding of the UK life sciences industrial and healthcare landscape in areas such as medical physics and digital health. 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. 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.
Apr 17, 2026
Full time
Be part of something amazing At NPL, we are proud to be a world class organisation doing exceptional science, where every role contributes to advancing the UK's prosperity, security and quality of life. Our success comes from attracting people who share our values of curiosity, collaboration and continuous learning. We are seeking a Strategic Business Development Manager to join our Life Sciences & Health team based at our head office location in Teddington. This role is well suited to someone who is building their career in science, engineering or technical commercial roles, and is looking for an environment that supports professional growth and offers a chance to make meaningful national impact. Every day will bring variety and the chance to work with innovative life sciences and health organisations. You will help them understand how NPL's scientific capabilities can unlock new technologies, improve performance, de risk investment, accelerate innovation and enable impact. You will: Build trusted relationships across industry, academia and government, ensuring stakeholders feel valued and supported. Develop a deep understanding of NPL's scientific and engineering capabilities to identify impactful opportunities. Work with researchers to shape collaborative projects, commercial engagements and innovation led programmes. Represent NPL at industry events, technical meetings and customer sites. Contribute to a culture that values collaboration, respect and professional development. Expected Outcomes In this role, you will be expected to: Create and secure opportunities that enable NPL to deliver direct impact with industry-ranging from commercial projects to strategic technical partnerships. Develop collaborative R&D consortia that secure competitive grant funding (e.g., Innovate UK, DSIT, NIHR schemes), ensuring NPL plays a central role in national industrial innovation programmes. Build relationships with key stakeholders to grow NPL's presence and influence across life sciences and health sectors. Support the development of new customer offerings, commercial models and capability strategies aligned with national priorities. Ensure that all interactions reflect NPL's reputation for excellence, scientific integrity and trusted partnership. What We are Looking For Essential Experience Experience of business development, technical engagement, consulting or innovation driven environments in the life sciences and health sectors A degree (or equivalent experience) in a science, engineering or technology discipline. Experience working in a technical, engineering or manufacturing environment, with exposure to varied tasks and problem solving. Confidence and clarity in communicating with engineers, scientists and decision makers. A strong interest in science, engineering and innovation, with the ability to understand and articulate technical concepts. Ability and willingness to travel within the UK. Desirable Background in medical technologies or similar technical roles. Understanding of the UK life sciences industrial and healthcare landscape in areas such as medical physics and digital health. 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. 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.
Do you want to work to make Power for Good? We're the world's largest independent renewable energy company. We're driven by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers rewards and benefits including pension schemes, flexible working, and top-down emphasis on better work-life balance. We also offer private healthcare, discounted green travel, 25 days holiday with options to buy/sell days, enhanced family leave and four volunteering days per year so you can make a difference somewhere else. Please note this position is a 24 month fixed term contract. The position We are seeking a skilled Data Engineer with expertise in Databricks to join our asset performance management software team, within our Digital Solutions business. Working with other data engineers, and our platform team, you will be responsible for designing, building, and optimizing scalable data pipelines using the Databricks platform. This role is ideal for someone passionate about big data technologies, cloud platforms, and enabling data-driven analytics and ML to report and improve on the performance of renewable assets. Accountabilities Design, develop, and maintain robust data pipelines using DLT on Databricks. Collaborate with software engineers, data scientists and platform engineers to understand data requirements and deliver high-quality solutions. Implement ETL/ELT processes to ingest, transform, and store data from various sources (structured and unstructured). Optimize performance and cost-efficiency of data workflows on Databricks. Ensure data quality, integrity, and governance through validation, monitoring, and documentation. Develop reusable components and frameworks to accelerate data engineering efforts. Support CI/CD practices and automation for data pipeline deployment. Stay current with Databricks features and best practices, and advocate for their adoption. Knowledge Solid understanding of data modelling, warehousing concepts, and distributed computing. Familiarity with Delta Lake and Unity Catalog. Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA). Skills Strong programming skills in Python and SQL. Experience with version control (e.g., Git) and CI/CD tools. Excellent problem-solving and communication skills, both written and oral. Experience Proven experience as a Data Engineer with hands on expertise in Databricks and DLT. Experience with cloud data platforms, ideally Azure but experience with AWS or Google would be an advantage. Exposure to machine learning workflows and integration with ML models. Delivering results working in a distributed, cross functional team. Qualifications At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
Apr 17, 2026
Full time
Do you want to work to make Power for Good? We're the world's largest independent renewable energy company. We're driven by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers rewards and benefits including pension schemes, flexible working, and top-down emphasis on better work-life balance. We also offer private healthcare, discounted green travel, 25 days holiday with options to buy/sell days, enhanced family leave and four volunteering days per year so you can make a difference somewhere else. Please note this position is a 24 month fixed term contract. The position We are seeking a skilled Data Engineer with expertise in Databricks to join our asset performance management software team, within our Digital Solutions business. Working with other data engineers, and our platform team, you will be responsible for designing, building, and optimizing scalable data pipelines using the Databricks platform. This role is ideal for someone passionate about big data technologies, cloud platforms, and enabling data-driven analytics and ML to report and improve on the performance of renewable assets. Accountabilities Design, develop, and maintain robust data pipelines using DLT on Databricks. Collaborate with software engineers, data scientists and platform engineers to understand data requirements and deliver high-quality solutions. Implement ETL/ELT processes to ingest, transform, and store data from various sources (structured and unstructured). Optimize performance and cost-efficiency of data workflows on Databricks. Ensure data quality, integrity, and governance through validation, monitoring, and documentation. Develop reusable components and frameworks to accelerate data engineering efforts. Support CI/CD practices and automation for data pipeline deployment. Stay current with Databricks features and best practices, and advocate for their adoption. Knowledge Solid understanding of data modelling, warehousing concepts, and distributed computing. Familiarity with Delta Lake and Unity Catalog. Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA). Skills Strong programming skills in Python and SQL. Experience with version control (e.g., Git) and CI/CD tools. Excellent problem-solving and communication skills, both written and oral. Experience Proven experience as a Data Engineer with hands on expertise in Databricks and DLT. Experience with cloud data platforms, ideally Azure but experience with AWS or Google would be an advantage. Exposure to machine learning workflows and integration with ML models. Delivering results working in a distributed, cross functional team. Qualifications At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
Our client is a Scientific SaaS company that has just secured over $25M+ in Series A funding to revolutionise how R&D teams operate across industries like chemicals, materials science, and manufacturing. Their cutting edge platform helps scientists simplify complex data, accelerate experimentation, and bring better products to market faster. Role: Event Marketing Specialist This position is ideal for someone early in their marketing career who wants to combine scientific knowledge with business and operational skills in a role that involves significant global travel. You'll support the planning and execution of international events, with a focus on logistics, coordination, and ensuring seamless delivery. Requirements: BSc or MSc in Chemical Engineering, Materials Science, or a related scientific field Experience working in a B2B/ SaaS environment (Lab Informatics or similar is a strong plus) Exposure to event marketing, project coordination or logistic management Willingness to travel approximately 50% of the time Locations: Hybrid from London or Munich, or remote from Europe If this fits with your experience, please apply today to discuss the role in more detail!
Apr 17, 2026
Full time
Our client is a Scientific SaaS company that has just secured over $25M+ in Series A funding to revolutionise how R&D teams operate across industries like chemicals, materials science, and manufacturing. Their cutting edge platform helps scientists simplify complex data, accelerate experimentation, and bring better products to market faster. Role: Event Marketing Specialist This position is ideal for someone early in their marketing career who wants to combine scientific knowledge with business and operational skills in a role that involves significant global travel. You'll support the planning and execution of international events, with a focus on logistics, coordination, and ensuring seamless delivery. Requirements: BSc or MSc in Chemical Engineering, Materials Science, or a related scientific field Experience working in a B2B/ SaaS environment (Lab Informatics or similar is a strong plus) Exposure to event marketing, project coordination or logistic management Willingness to travel approximately 50% of the time Locations: Hybrid from London or Munich, or remote from Europe If this fits with your experience, please apply today to discuss the role in more detail!
Overview Electronics Engineer, Cambridge, UK • Permanent, Full-time • Experienced level • Salary: Competitive and commensurate with experience The opportunity This role offers the chance to work on advanced, real-world technology where your engineering decisions genuinely matter. As an Electronics Engineer, you will be involved in solving complex technical problems from first principles, working alongside highly capable engineers, scientists and designers in a collaborative, fast-moving environment. You will see ideas progress rapidly from concept to prototype, contributing to innovative systems that operate in demanding and high-performance environments. The work is varied, technically deep and hands-on, offering exposure to a wide range of projects and technologies. What you will be doing Working across the full product lifecycle, from requirements capture and design through to development, testing, documentation and delivery Designing, developing and testing electronic systems and subsystems for real-world applications Contributing to proof-of-concept work, experimental platforms and working prototypes Collaborating closely with multidisciplinary teams on system architecture, interfaces and integration Applying strong problem-solving skills to technically complex and often ambiguous challenges What we are looking for You will have a strong academic background, hold a relevant engineering degree and bring proven experience designing and delivering technology solutions. Experience in several of the following areas would be particularly valuable: FPGA firmware development, debugging and testing DSP design, modelling and signal processing algorithm development High-speed electronics design RF or microwave electronics design and simulation Electronics hardware design, schematic capture and hands-on testing Embedded software development, debugging and testing Programming experience in C, C++, C#, MATLAB, Python or Simulink Communications and networking, including protocol design or implementation Collaboration on system architecture, interfaces and hardware design or procurement Engineers from any industry background are encouraged to apply. Experience working in regulated or safety-critical environments is beneficial but not essential. Why this role Work on technically challenging projects with real-world impact Exposure to a wide variety of technologies, domains and problem spaces A collaborative, low-hierarchy environment where ideas are encouraged and valued Opportunities to grow technical depth as well as develop project leadership and client-facing skills A supportive culture focused on learning, innovation and professional development This is an excellent opportunity for an experienced Electronics Engineer who enjoys variety, technical challenge and seeing their work move quickly from concept to reality.
Apr 17, 2026
Full time
Overview Electronics Engineer, Cambridge, UK • Permanent, Full-time • Experienced level • Salary: Competitive and commensurate with experience The opportunity This role offers the chance to work on advanced, real-world technology where your engineering decisions genuinely matter. As an Electronics Engineer, you will be involved in solving complex technical problems from first principles, working alongside highly capable engineers, scientists and designers in a collaborative, fast-moving environment. You will see ideas progress rapidly from concept to prototype, contributing to innovative systems that operate in demanding and high-performance environments. The work is varied, technically deep and hands-on, offering exposure to a wide range of projects and technologies. What you will be doing Working across the full product lifecycle, from requirements capture and design through to development, testing, documentation and delivery Designing, developing and testing electronic systems and subsystems for real-world applications Contributing to proof-of-concept work, experimental platforms and working prototypes Collaborating closely with multidisciplinary teams on system architecture, interfaces and integration Applying strong problem-solving skills to technically complex and often ambiguous challenges What we are looking for You will have a strong academic background, hold a relevant engineering degree and bring proven experience designing and delivering technology solutions. Experience in several of the following areas would be particularly valuable: FPGA firmware development, debugging and testing DSP design, modelling and signal processing algorithm development High-speed electronics design RF or microwave electronics design and simulation Electronics hardware design, schematic capture and hands-on testing Embedded software development, debugging and testing Programming experience in C, C++, C#, MATLAB, Python or Simulink Communications and networking, including protocol design or implementation Collaboration on system architecture, interfaces and hardware design or procurement Engineers from any industry background are encouraged to apply. Experience working in regulated or safety-critical environments is beneficial but not essential. Why this role Work on technically challenging projects with real-world impact Exposure to a wide variety of technologies, domains and problem spaces A collaborative, low-hierarchy environment where ideas are encouraged and valued Opportunities to grow technical depth as well as develop project leadership and client-facing skills A supportive culture focused on learning, innovation and professional development This is an excellent opportunity for an experienced Electronics Engineer who enjoys variety, technical challenge and seeing their work move quickly from concept to reality.
A fast-growing global technology company expanding into Belfast seeks a Senior Data Scientist to join its new R&D site. The ideal candidate will work with large datasets, build machine learning models, and collaborate with various teams. Applicants should have over 5 years of experience in Data Science, strong programming skills in Python and SQL, and familiarity with cloud platforms. This position offers hybrid working and opportunities for career growth in an innovative culture.
Apr 17, 2026
Full time
A fast-growing global technology company expanding into Belfast seeks a Senior Data Scientist to join its new R&D site. The ideal candidate will work with large datasets, build machine learning models, and collaborate with various teams. Applicants should have over 5 years of experience in Data Science, strong programming skills in Python and SQL, and familiarity with cloud platforms. This position offers hybrid working and opportunities for career growth in an innovative culture.
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Introducing Data Engineering at Trainline At the heart of our Data Team, Data Engineers play a pivotal role by creating pipelines and tables that power impactful dashboards, enable self-service analytics, and support innovative machine learning models and real-time data products. As a Data Engineer, you will be involved in engineering pipelines that will drive key decisions and give data science powerful datasets to enable and drive new business insights. Data Engineers work alongside BI Developers and Data Scientists in cross-functional teams with key impacts and visions. As a department, we strive to give our Data Engineers high levels of autonomy and freedom to innovate and continually refine their technical and soft skills with clear progression plans and training opportunities with Data Camp! As a Data Engineer at Trainline, you will Be key to making our data lake more accessible and insightful breaking down the barriers to access by working on new data marts and designing data models that even the most basic SQL users can use Build data pipelines with Spark or DBT Use SQL to transform data into meaningful insights Build and deploy infrastructure with Terraform Implement DDL, DML with Iceberg Do code reviews for your peers Orchestrate your pipelines with DAGs on Airflow Participate in SCRUM ceremonies (standups, backlogs, demos, retros, planning) Secure data with IAM and AWS Lake formation Deploy your changes with Jenkins and GitHub actions We'd love to hear from you if you have Proven experience as a Data Engineering using SQL and Python Previous experience with data lakes in AWS, Glue Catalog and Athena (or equivalent) Good experience with DBT Capable of using popular data modelling tools to create a diagram of proposed tables to enable discussion Good communicator and comfortable with presenting ideas and outputs to technical and non-technical users Worked on Apache Airflow before to create DAGS Ability to work within Agile, considering minimum viable products, story pointing and sprints More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Apr 17, 2026
Full time
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Introducing Data Engineering at Trainline At the heart of our Data Team, Data Engineers play a pivotal role by creating pipelines and tables that power impactful dashboards, enable self-service analytics, and support innovative machine learning models and real-time data products. As a Data Engineer, you will be involved in engineering pipelines that will drive key decisions and give data science powerful datasets to enable and drive new business insights. Data Engineers work alongside BI Developers and Data Scientists in cross-functional teams with key impacts and visions. As a department, we strive to give our Data Engineers high levels of autonomy and freedom to innovate and continually refine their technical and soft skills with clear progression plans and training opportunities with Data Camp! As a Data Engineer at Trainline, you will Be key to making our data lake more accessible and insightful breaking down the barriers to access by working on new data marts and designing data models that even the most basic SQL users can use Build data pipelines with Spark or DBT Use SQL to transform data into meaningful insights Build and deploy infrastructure with Terraform Implement DDL, DML with Iceberg Do code reviews for your peers Orchestrate your pipelines with DAGs on Airflow Participate in SCRUM ceremonies (standups, backlogs, demos, retros, planning) Secure data with IAM and AWS Lake formation Deploy your changes with Jenkins and GitHub actions We'd love to hear from you if you have Proven experience as a Data Engineering using SQL and Python Previous experience with data lakes in AWS, Glue Catalog and Athena (or equivalent) Good experience with DBT Capable of using popular data modelling tools to create a diagram of proposed tables to enable discussion Good communicator and comfortable with presenting ideas and outputs to technical and non-technical users Worked on Apache Airflow before to create DAGS Ability to work within Agile, considering minimum viable products, story pointing and sprints More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people's health. We're always looking towards the future, anticipating changes in medical science and technology. The Opportunity Abbott Rapid Diagnostics is part of Abbott's Diagnostics family of businesses, bringing together exceptional teams of experts and industry leading technologies to support diagnostic testing which provides important information for treatment and management of diseases and other conditions. The Abbott Rapid Diagnostics Infectious Diseases Division (ARDx) portfolio is centred around ID Now. A fast growing, molecular testing platform with the flexibility to test for Covid-19, Influenza A &B, RSV and Strep A. The ID NOW delivers accurate results in just minutes, giving HCPs real-time access to the information required to make actionable decisions during the first patient visit. The ID NOW Platform provides diagnostics where and when they are needed most - in near patient settings at the point of care such as Emergency departments, Admissions and Wards. Other products within the portfolio include Binax NOW rapid antigen tests, sexual health testing and women's' health. We are currently recruiting for a Business Development Manager to join Abbott Rapid Diagnostics Infectious Diseases Division (ARDx) and cover the East area. Territory Essex, East Anglia, Northampton, Kettering, Bedford, Milton Keynes The candidate should be based within the region to be considered for the role. This is a high level and strategic sales role that will focus on pulling together NHS Hospitals, NHS Community and Private Healthcare Providers to ensure Abbott Rapid Diagnostics (ARDx) leads in Point of Care provision. What You'll Do Producing strategic business planning Implement business strategy to align & partner with the Private Sector & NHS to maximise sales and growth of the portfolio Achieve target and deliver revenues Proactively work across different levels of stakeholders Work in a cross functional team including market access, marketing and sales Provide regular timely forecasts of performance, product demand, expenditure Lead & initiate projects Profile Degree or higher in Business, Biological Science or related field Significant diagnostics or medical devices industry and sales experience, preferably Thorough knowledge and experience of UK healthcare industry, NHS and private healthcare providers Consistent track record of achieving profitable growth Excellent interpersonal skills with the ability to achieve results through influencing other Self-starter, possesses flexibility and ability to work under pressure in a fast-changing environment and ambiguous situations Positive attitude, team player with a high level of initiative, energy and enthusiasm Excellent organisation, facilitator and presentation skills Responsible-minded with a high persuasive power Skilled and experienced negotiator Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to: Career development with an international company where you can grow the career you dream of. A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at , on Facebook at and on
Apr 17, 2026
Full time
About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people's health. We're always looking towards the future, anticipating changes in medical science and technology. The Opportunity Abbott Rapid Diagnostics is part of Abbott's Diagnostics family of businesses, bringing together exceptional teams of experts and industry leading technologies to support diagnostic testing which provides important information for treatment and management of diseases and other conditions. The Abbott Rapid Diagnostics Infectious Diseases Division (ARDx) portfolio is centred around ID Now. A fast growing, molecular testing platform with the flexibility to test for Covid-19, Influenza A &B, RSV and Strep A. The ID NOW delivers accurate results in just minutes, giving HCPs real-time access to the information required to make actionable decisions during the first patient visit. The ID NOW Platform provides diagnostics where and when they are needed most - in near patient settings at the point of care such as Emergency departments, Admissions and Wards. Other products within the portfolio include Binax NOW rapid antigen tests, sexual health testing and women's' health. We are currently recruiting for a Business Development Manager to join Abbott Rapid Diagnostics Infectious Diseases Division (ARDx) and cover the East area. Territory Essex, East Anglia, Northampton, Kettering, Bedford, Milton Keynes The candidate should be based within the region to be considered for the role. This is a high level and strategic sales role that will focus on pulling together NHS Hospitals, NHS Community and Private Healthcare Providers to ensure Abbott Rapid Diagnostics (ARDx) leads in Point of Care provision. What You'll Do Producing strategic business planning Implement business strategy to align & partner with the Private Sector & NHS to maximise sales and growth of the portfolio Achieve target and deliver revenues Proactively work across different levels of stakeholders Work in a cross functional team including market access, marketing and sales Provide regular timely forecasts of performance, product demand, expenditure Lead & initiate projects Profile Degree or higher in Business, Biological Science or related field Significant diagnostics or medical devices industry and sales experience, preferably Thorough knowledge and experience of UK healthcare industry, NHS and private healthcare providers Consistent track record of achieving profitable growth Excellent interpersonal skills with the ability to achieve results through influencing other Self-starter, possesses flexibility and ability to work under pressure in a fast-changing environment and ambiguous situations Positive attitude, team player with a high level of initiative, energy and enthusiasm Excellent organisation, facilitator and presentation skills Responsible-minded with a high persuasive power Skilled and experienced negotiator Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to: Career development with an international company where you can grow the career you dream of. A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at , on Facebook at and on
YouTube Talent Assistant A unique opportunity to work in the digital entertainment industry. Salary range: £26,450 - £29,450 We're looking for a full-time talent assistant to support the continued growth of our roster - up-and-coming and established names producing YouTube content. You'll be working directly with a handful of US-based and European creators as we help them to achieve their creative and commercial ambitions. You may have no prior experience, but can consistently demonstrate a genuine interest in digital content. Either way, you will certainly have a confident manner - not only are you friendly and personable, but you are a strong communicator who seems at ease navigating complex situations. The Role What you'll be doing: Negotiating sponsorship and brand deal enquiries Liaising with talent to communicate sponsorship deals, production schedules, and business meetings Supporting the reviewing and negotiating of contract terms to help close commercial opportunities Reporting key metrics and maintaining performance and revenue statistics for management and clients Providing marketing, advertising and social media support for both internal and client-based activities and achievements Carrying out creative and business-related tasks on behalf of clients on an ad hoc basis Contributing ideas and pitches for talent development and sponsored content You will have the option of working entirely remote within the UK, being based at our office in Northampton or a hybrid of the two. Occasionally, you will travel to meet clients and attend events locally and overseas. We offer all staff 25 days annual leave excluding bank holidays, as well as inclusion in the company's profit share scheme, and mental health insurance policy. The Candidate This role will suit someone who believes they are an unusual mix of creativity and commercial-mindedness. You'll have an ambition to challenge yourself and not necessarily in obvious ways. This means that those with initiative often make the most of their time at Ziggurat and we are dedicated to helping staff develop a variety of skills. Whilst you will work closely with other colleagues, you will also develop your own relationships with brands and talent, and you will be confident speaking with even the best-known creators. Ultimately though, we are looking for behaviours and attitudes rather than knowledge and skills. There are few with experience of what we do and this role is a unique entry point into the digital entertainment industry. The best candidate might not know what you want to do but you will work hard to find out if this might be it. The Company Ziggurat XYZ represents emerging and established names in digital media, providing a bespoke management service to YouTube creators as they grow and develop their audience, content, and businesses. We are the first agency in our industry to be recognised by the King's Awards for Enterprise. Last year, we earned the International Trade award for outstanding growth in overseas income thanks to our diverse and global roster. Our clients all produce content broadly under the umbrella of factual entertainment. We generate ideas with scientists and engineers like Xyla Foxlin , Steve Mould , and Integza ; drink coffee with James Hoffmann (and question everything we think we know about our daily cup), unpick layers of pop and internet culture with uncarley and Shanspeare , and dream up renovation goals with Rewilding Jude and How to Renovate a Chateau . Together, our roster reaches an audience of hundreds of millions with an eclectic mix of interests and hobbies. Our team are a burgeoning gang of specialists. They are trusted advisors and industry experts to our clients and our office in Northampton acts as a vibrant hub of global activity. The building is a renovated Victorian brewery off of Northampton's Creative Quarter. The location is 10 minutes' walk from Northampton Rail Station, with connections up and down the Midland Mainline - 56 minutes from London Euston, 59 minutes from Birmingham New Street, and 15 minutes from Milton Keynes. It is also only 10 minutes from Junction 15 of the M1. Applying If the above sounds like you - and you like the sound of us - please apply with your CV and covering letter outlining your interest in the role and business at our careers website using the 'Apply for this job' button. Applications for this vacancy will be considered on an ongoing basis. The deadline for applications is Monday 11th May 2026.
Apr 17, 2026
Full time
YouTube Talent Assistant A unique opportunity to work in the digital entertainment industry. Salary range: £26,450 - £29,450 We're looking for a full-time talent assistant to support the continued growth of our roster - up-and-coming and established names producing YouTube content. You'll be working directly with a handful of US-based and European creators as we help them to achieve their creative and commercial ambitions. You may have no prior experience, but can consistently demonstrate a genuine interest in digital content. Either way, you will certainly have a confident manner - not only are you friendly and personable, but you are a strong communicator who seems at ease navigating complex situations. The Role What you'll be doing: Negotiating sponsorship and brand deal enquiries Liaising with talent to communicate sponsorship deals, production schedules, and business meetings Supporting the reviewing and negotiating of contract terms to help close commercial opportunities Reporting key metrics and maintaining performance and revenue statistics for management and clients Providing marketing, advertising and social media support for both internal and client-based activities and achievements Carrying out creative and business-related tasks on behalf of clients on an ad hoc basis Contributing ideas and pitches for talent development and sponsored content You will have the option of working entirely remote within the UK, being based at our office in Northampton or a hybrid of the two. Occasionally, you will travel to meet clients and attend events locally and overseas. We offer all staff 25 days annual leave excluding bank holidays, as well as inclusion in the company's profit share scheme, and mental health insurance policy. The Candidate This role will suit someone who believes they are an unusual mix of creativity and commercial-mindedness. You'll have an ambition to challenge yourself and not necessarily in obvious ways. This means that those with initiative often make the most of their time at Ziggurat and we are dedicated to helping staff develop a variety of skills. Whilst you will work closely with other colleagues, you will also develop your own relationships with brands and talent, and you will be confident speaking with even the best-known creators. Ultimately though, we are looking for behaviours and attitudes rather than knowledge and skills. There are few with experience of what we do and this role is a unique entry point into the digital entertainment industry. The best candidate might not know what you want to do but you will work hard to find out if this might be it. The Company Ziggurat XYZ represents emerging and established names in digital media, providing a bespoke management service to YouTube creators as they grow and develop their audience, content, and businesses. We are the first agency in our industry to be recognised by the King's Awards for Enterprise. Last year, we earned the International Trade award for outstanding growth in overseas income thanks to our diverse and global roster. Our clients all produce content broadly under the umbrella of factual entertainment. We generate ideas with scientists and engineers like Xyla Foxlin , Steve Mould , and Integza ; drink coffee with James Hoffmann (and question everything we think we know about our daily cup), unpick layers of pop and internet culture with uncarley and Shanspeare , and dream up renovation goals with Rewilding Jude and How to Renovate a Chateau . Together, our roster reaches an audience of hundreds of millions with an eclectic mix of interests and hobbies. Our team are a burgeoning gang of specialists. They are trusted advisors and industry experts to our clients and our office in Northampton acts as a vibrant hub of global activity. The building is a renovated Victorian brewery off of Northampton's Creative Quarter. The location is 10 minutes' walk from Northampton Rail Station, with connections up and down the Midland Mainline - 56 minutes from London Euston, 59 minutes from Birmingham New Street, and 15 minutes from Milton Keynes. It is also only 10 minutes from Junction 15 of the M1. Applying If the above sounds like you - and you like the sound of us - please apply with your CV and covering letter outlining your interest in the role and business at our careers website using the 'Apply for this job' button. Applications for this vacancy will be considered on an ongoing basis. The deadline for applications is Monday 11th May 2026.
