Senior Data Scientist When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed. Senior Data Scientist As a Senior Data Scientist, you will own the development and implementation of Marketing Mix Modelling (MMM) across ATG markets. You will lead on applying these insights to inform decision making and deliver measurable commercial value. You will play a key role in shaping the activation of data-led marketing in the UK. This role will support the UK CRM team in scaling personalisation and automation, influencing how these strategies are tested and adopted, and collaborating closely with the global marketing science team to create a globally consistent approach that can be effectively applied in the UK. This is a hybrid role based in London (Shaftesbury Avenue), with an expectation of 2 days per week in the office. You'll report to the Analytics Manager within our Marketing Analytics & Data Science team and be responsible for managing and developing a Data Scientist. You'll work closely with CRM, Memberships, Ticketing and Regional Marketing. Key responsibilities Own MMM in the UK and US. Manage key stakeholders, gather requirements for future iterations, plan & agree timelines for updates and iterative improvements. Manage the relationship between Data Science and CRM, providing direction on the way data is used in campaign execution to have maximum benefit. Collect and integrate data from a diverse range of sources, ensuring quality and accuracy prior to use in model creation. Develop data science solutions to business and customer problems, using robust experimentation and A/B testing to measure incremental impact and demonstrate value against key financial KPIs Work with data analysts to set out measurement plans to quantify the impact of data science solutions. Effectively communicate with technical and non-technical audiences using dashboards, data visualisations and storytelling to aid understanding and ensure models are understood, trusted, and effectively integrated into decision making processes. Line manage and develop a Data Scientist, providing support and guidance to ensure their continued development. Set an example for other data professionals in embracing collaboration, sharing knowledge, and fostering a culture of curiosity and continuous development. Your skills, qualities, and experience We welcome transferable skills from other industries. If you can demonstrate many of the essential skills, qualities and experience we encourage you to apply. Essential A proven track record in a data science role within a customer, CRM, commercial or marketing role. Expertise in machine learning and version control management, with a track record of creating impactful data science products and embedding these within businesses. Strong SQL & Python. Knowledge of cloud platforms and ML Ops for automation of retraining and prediction. Experience in implementing experimentation frameworks (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices, causal inference). Exemplary stakeholder management. Confident & effective communication with technical and non-technical stakeholders across all levels of the company hierarchy. Project organisation and planning (application of the Data Science project lifecycle). Commercial mindset to link models back to business goals. An innate curiosity for technology and data. Desirable Experience in applying Bayesian modelling techniques. Familiarity with our existing tech stack (Snowflake, GitHub, Iterable, dbt). Data visualisation using BI tools (preferably Power BI). About Us - Our Values ATG Entertainment's values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation. THRIVE doing what we love (with passion and dynamism) CONNECT through every act (with collaboration and kindness) DARE to do different (with curiosity and courage) PERFORM at our best (with customer focus and ownership) Our Corporate Social Responsibility pillars Everyone at ATG Entertainment is expected to play their part in achieving our goals and upholding our Corporate Social Responsibility priorities: Inclusion: Committing to creating and upholding a positive, inclusive culture that nurtures potential and supports well-being. Sustainability: Playing your part in reducing our environmental impact and finding more sustainable ways of working. Next Generations: Encouraging the next generation in live entertainment by contributing to our outreach and training programmes, including mentoring students and trainees, and supporting our Creative Learning and Community Partnerships work. Our culture You'll help us uphold a positive culture around meeting our obligations, by having a positive attitude to health and safety, legal and insurance requirements and take care to understand our policies and procedures. We are all expected to participate actively in the life of the company, and opportunities will arise for you to collaborate with others across the business. Everyone at ATG Entertainment is expected to be flexible and adapt as the needs of the business change, taking on new or different responsibilities as the need arises. Our Inclusion, Diversity, Equity and Access Mission Statement - A Stage for Everyone Our stages are a platform for compelling stories - stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are passionate about the pursuit of true diversity and equality. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves. At ATG entertainment, we provide a stage for everyone. We recognise that we do not have all the answers; but we strive to listen, to learn and to change in order to ensure ATG Entertainment becomes a truly inclusive organisation. We therefore welcome and encourage applications from individuals from the widest possible range of backgrounds and particularly welcome applications from those currently underrepresented in our workforce. We are a Disability Confident Committed Employer, which means that we are taking action to ensure that people with disabilities and long-term health conditions feel supported, engaged, and able to fulfil their potential in the workplace. We will offer an interview or recruitment event to disabled candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they best meet the essential criteria for the role. Where we receive more applications than we are reasonably able to interview for any given role, we will retain applications for the next available interview opportunity wherever possible.
Apr 15, 2026
Full time
Senior Data Scientist When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed. Senior Data Scientist As a Senior Data Scientist, you will own the development and implementation of Marketing Mix Modelling (MMM) across ATG markets. You will lead on applying these insights to inform decision making and deliver measurable commercial value. You will play a key role in shaping the activation of data-led marketing in the UK. This role will support the UK CRM team in scaling personalisation and automation, influencing how these strategies are tested and adopted, and collaborating closely with the global marketing science team to create a globally consistent approach that can be effectively applied in the UK. This is a hybrid role based in London (Shaftesbury Avenue), with an expectation of 2 days per week in the office. You'll report to the Analytics Manager within our Marketing Analytics & Data Science team and be responsible for managing and developing a Data Scientist. You'll work closely with CRM, Memberships, Ticketing and Regional Marketing. Key responsibilities Own MMM in the UK and US. Manage key stakeholders, gather requirements for future iterations, plan & agree timelines for updates and iterative improvements. Manage the relationship between Data Science and CRM, providing direction on the way data is used in campaign execution to have maximum benefit. Collect and integrate data from a diverse range of sources, ensuring quality and accuracy prior to use in model creation. Develop data science solutions to business and customer problems, using robust experimentation and A/B testing to measure incremental impact and demonstrate value against key financial KPIs Work with data analysts to set out measurement plans to quantify the impact of data science solutions. Effectively communicate with technical and non-technical audiences using dashboards, data visualisations and storytelling to aid understanding and ensure models are understood, trusted, and effectively integrated into decision making processes. Line manage and develop a Data Scientist, providing support and guidance to ensure their continued development. Set an example for other data professionals in embracing collaboration, sharing knowledge, and fostering a culture of curiosity and continuous development. Your skills, qualities, and experience We welcome transferable skills from other industries. If you can demonstrate many of the essential skills, qualities and experience we encourage you to apply. Essential A proven track record in a data science role within a customer, CRM, commercial or marketing role. Expertise in machine learning and version control management, with a track record of creating impactful data science products and embedding these within businesses. Strong SQL & Python. Knowledge of cloud platforms and ML Ops for automation of retraining and prediction. Experience in implementing experimentation frameworks (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices, causal inference). Exemplary stakeholder management. Confident & effective communication with technical and non-technical stakeholders across all levels of the company hierarchy. Project organisation and planning (application of the Data Science project lifecycle). Commercial mindset to link models back to business goals. An innate curiosity for technology and data. Desirable Experience in applying Bayesian modelling techniques. Familiarity with our existing tech stack (Snowflake, GitHub, Iterable, dbt). Data visualisation using BI tools (preferably Power BI). About Us - Our Values ATG Entertainment's values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation. THRIVE doing what we love (with passion and dynamism) CONNECT through every act (with collaboration and kindness) DARE to do different (with curiosity and courage) PERFORM at our best (with customer focus and ownership) Our Corporate Social Responsibility pillars Everyone at ATG Entertainment is expected to play their part in achieving our goals and upholding our Corporate Social Responsibility priorities: Inclusion: Committing to creating and upholding a positive, inclusive culture that nurtures potential and supports well-being. Sustainability: Playing your part in reducing our environmental impact and finding more sustainable ways of working. Next Generations: Encouraging the next generation in live entertainment by contributing to our outreach and training programmes, including mentoring students and trainees, and supporting our Creative Learning and Community Partnerships work. Our culture You'll help us uphold a positive culture around meeting our obligations, by having a positive attitude to health and safety, legal and insurance requirements and take care to understand our policies and procedures. We are all expected to participate actively in the life of the company, and opportunities will arise for you to collaborate with others across the business. Everyone at ATG Entertainment is expected to be flexible and adapt as the needs of the business change, taking on new or different responsibilities as the need arises. Our Inclusion, Diversity, Equity and Access Mission Statement - A Stage for Everyone Our stages are a platform for compelling stories - stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are passionate about the pursuit of true diversity and equality. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves. At ATG entertainment, we provide a stage for everyone. We recognise that we do not have all the answers; but we strive to listen, to learn and to change in order to ensure ATG Entertainment becomes a truly inclusive organisation. We therefore welcome and encourage applications from individuals from the widest possible range of backgrounds and particularly welcome applications from those currently underrepresented in our workforce. We are a Disability Confident Committed Employer, which means that we are taking action to ensure that people with disabilities and long-term health conditions feel supported, engaged, and able to fulfil their potential in the workplace. We will offer an interview or recruitment event to disabled candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they best meet the essential criteria for the role. Where we receive more applications than we are reasonably able to interview for any given role, we will retain applications for the next available interview opportunity wherever possible.
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. THE 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 runs on forecasts. Every day, models predict how many parcels will arrive, which ones to sort tonight, how many shifts to release, and how many bags each route needs. When those predictions are right, operations run smoothly. When they drift, the cost shows up fast: routes cancelled from a dimensions model that shifted, surge premiums from under-predicted volumes, wasted capacity from over-forecasting. As a Data Analyst in the Network squad, you will monitor and interrogate the performance of every model the squad owns - demand forecasts, collection predictions, parcel dimensions, shift planning, and demand management allocation. The focus is analytical oversight rather than model building: Is accuracy holding? Where is bias creeping in? Which clients are the models struggling with? Why did Tuesday's forecast miss by 12%? When something is off, this role involves investigating the root cause, quantifying the impact, and collaborating with the Data Scientists to fix it. This requires strong dashboarding skills. You'll build the monitoring infrastructure that makes model performance visible to the squad and to the downstream teams that depend on these forecasts. You'll also develop a deep understanding of these models - their strengths, their weak spots, their failure modes - so the squad can catch changes early. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Network squad, reporting into the centralised data team. You'll work closely with Sortation, Middle Mile, Last Mile, and Routing - the squads that rely on the accuracy of the forecasts you're monitoring. What You'll Do Provide analytical oversight of the Network squad's models - demand forecasts, collection predictions, dimensions, shift release, and demand management allocation - in collaboration with Data Scientists and engineers Investigate forecast errors by client, sort centre, day of week, and horizon - not just "accuracy is 92%" but "accuracy drops to 78% for TikTok on Mondays and here's what that costs us" Quantify the CPP impact of model errors, working with the squad to understand how a 5% shift forecast miss translates into surge premiums or wasted capacity Build dashboards that the squad and stakeholders rely on - accuracy tracking, bias monitoring, drift detection, model comparison before and after changes Design alerting that surfaces model degradation before it hits operations, contributing to the squad's early warning capability Partner with Data Scientists to validate model changes: did that retrain actually improve things, or did it just shift the error somewhere else? Investigate when things go wrong - a forecast missed badly, a model drifted, a client's behaviour changed - working with the team to find out why and prevent recurrence Translate model performance into language that Sortation, Last Mile, Middle Mile, and Finance can act on - helping build trust in the forecasts across the business Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer Who Will Thrive in This Role? Experience investigating data quality and model performance - spotting when numbers don't look right and following through to understand why Familiarity with how predictive models work - their behaviour, assumptions, and common failure modes Strong SQL skills, with experience using dbt and BigQuery or similar tools to build analytical pipelines Experience building monitoring dashboards that inform regular decision-making Clear communication with both technical and non-technical stakeholders - explaining model performance without unnecessary jargon At least 3 years of experience in a data analyst or similar role Bonus: comfort with Python for ad-hoc analysis and automation A focus on impact - success in this role means the squad catches problems faster and the models improve over time Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. 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 15, 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. THE 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 runs on forecasts. Every day, models predict how many parcels will arrive, which ones to sort tonight, how many shifts to release, and how many bags each route needs. When those predictions are right, operations run smoothly. When they drift, the cost shows up fast: routes cancelled from a dimensions model that shifted, surge premiums from under-predicted volumes, wasted capacity from over-forecasting. As a Data Analyst in the Network squad, you will monitor and interrogate the performance of every model the squad owns - demand forecasts, collection predictions, parcel dimensions, shift planning, and demand management allocation. The focus is analytical oversight rather than model building: Is accuracy holding? Where is bias creeping in? Which clients are the models struggling with? Why did Tuesday's forecast miss by 12%? When something is off, this role involves investigating the root cause, quantifying the impact, and collaborating with the Data Scientists to fix it. This requires strong dashboarding skills. You'll build the monitoring infrastructure that makes model performance visible to the squad and to the downstream teams that depend on these forecasts. You'll also develop a deep understanding of these models - their strengths, their weak spots, their failure modes - so the squad can catch changes early. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Network squad, reporting into the centralised data team. You'll work closely with Sortation, Middle Mile, Last Mile, and Routing - the squads that rely on the accuracy of the forecasts you're monitoring. What You'll Do Provide analytical oversight of the Network squad's models - demand forecasts, collection predictions, dimensions, shift release, and demand management allocation - in collaboration with Data Scientists and engineers Investigate forecast errors by client, sort centre, day of week, and horizon - not just "accuracy is 92%" but "accuracy drops to 78% for TikTok on Mondays and here's what that costs us" Quantify the CPP impact of model errors, working with the squad to understand how a 5% shift forecast miss translates into surge premiums or wasted capacity Build dashboards that the squad and stakeholders rely on - accuracy tracking, bias monitoring, drift detection, model comparison before and after changes Design alerting that surfaces model degradation before it hits operations, contributing to the squad's early warning capability Partner with Data Scientists to validate model changes: did that retrain actually improve things, or did it just shift the error somewhere else? Investigate when things go wrong - a forecast missed badly, a model drifted, a client's behaviour changed - working with the team to find out why and prevent recurrence Translate model performance into language that Sortation, Last Mile, Middle Mile, and Finance can act on - helping build trust in the forecasts across the business Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer Who Will Thrive in This Role? Experience investigating data quality and model performance - spotting when numbers don't look right and following through to understand why Familiarity with how predictive models work - their behaviour, assumptions, and common failure modes Strong SQL skills, with experience using dbt and BigQuery or similar tools to build analytical pipelines Experience building monitoring dashboards that inform regular decision-making Clear communication with both technical and non-technical stakeholders - explaining model performance without unnecessary jargon At least 3 years of experience in a data analyst or similar role Bonus: comfort with Python for ad-hoc analysis and automation A focus on impact - success in this role means the squad catches problems faster and the models improve over time Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. 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.
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most. What You'll Do From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truth Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team What You'll Bring Extensive experience in an analytical role, ideally within a product-led or digitally native environment Fluency in SQL and at least one scripting language (Python or R); experience with dbt Is essential Hands-on experience with BI tools such as Lightdash, Looker, or Tableau A track record of influencing decisions, you know how to tell a compelling, data-led story to stakeholders at all levels Strong experiment design and statistical reasoning skills, you understand when the numbers are telling you something real Comfort working across teams and managing multiple priorities without losing rigour Genuine curiosity about user behaviour and a drive to understand the why behind the data An openness to integrating AI tools into your workflow and a mindset for continuous improvement Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid working and flexible hours EV charging and free parking onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. monthly Light's Up and annual Shine awards Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)
Apr 14, 2026
Full time
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most. What You'll Do From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truth Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team What You'll Bring Extensive experience in an analytical role, ideally within a product-led or digitally native environment Fluency in SQL and at least one scripting language (Python or R); experience with dbt Is essential Hands-on experience with BI tools such as Lightdash, Looker, or Tableau A track record of influencing decisions, you know how to tell a compelling, data-led story to stakeholders at all levels Strong experiment design and statistical reasoning skills, you understand when the numbers are telling you something real Comfort working across teams and managing multiple priorities without losing rigour Genuine curiosity about user behaviour and a drive to understand the why behind the data An openness to integrating AI tools into your workflow and a mindset for continuous improvement Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid working and flexible hours EV charging and free parking onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. monthly Light's Up and annual Shine awards Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist III, Customer Analytics Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Yield and Analytics, Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org. Are you passionate about data and analytics? Do you want to be at the forefront of a truly customer centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III, Customer Analytics (Individual Contributor) role, supporting our B2C brands. As a core member of our team, you will be working with data and applying advanced data science techniques in a fun and stimulating environment. There are a variety of exciting projects that you will work on to drive business strategy. Your insights will be used to enhance our customer value proposition, improve customer acquisition and engagement, drive customer lifetime value, deliver an amazing customer experience and better understand the customer behaviour across multiple brands own by Expedia Group. This is an exciting opportunity for a team player who wants to be a central part of a truly customer focused team. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. What you'll do: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Brands stakeholders and cross functional Analytics teams, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Who you are: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze large data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling, forecast and/or causal inference Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience partnering with senior management and collaborating with other teams (eg. Product, Engineering, Strategy etc) to deliver projects Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high pressure, dynamic environment and be comfortable with a high level of ambiguity. Please note that this role is only available in the following locations: London, in alignment with our flexible work model which requires employees to be in office at least three days a week. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Apr 14, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist III, Customer Analytics Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Yield and Analytics, Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org. Are you passionate about data and analytics? Do you want to be at the forefront of a truly customer centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III, Customer Analytics (Individual Contributor) role, supporting our B2C brands. As a core member of our team, you will be working with data and applying advanced data science techniques in a fun and stimulating environment. There are a variety of exciting projects that you will work on to drive business strategy. Your insights will be used to enhance our customer value proposition, improve customer acquisition and engagement, drive customer lifetime value, deliver an amazing customer experience and better understand the customer behaviour across multiple brands own by Expedia Group. This is an exciting opportunity for a team player who wants to be a central part of a truly customer focused team. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. What you'll do: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Brands stakeholders and cross functional Analytics teams, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Who you are: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze large data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling, forecast and/or causal inference Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience partnering with senior management and collaborating with other teams (eg. Product, Engineering, Strategy etc) to deliver projects Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high pressure, dynamic environment and be comfortable with a high level of ambiguity. Please note that this role is only available in the following locations: London, in alignment with our flexible work model which requires employees to be in office at least three days a week. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
At Optimove, we believe people are capable of more than a single job description. You're not hired just to fill a position you're empowered to shape it, grow it, and make it your own. We call this being Positionless. And Positionless isn't just our culture. It's our product. Optimove is the creator of Positionless Marketing, an AI-powered platform that gives every marketer the power to analyze, create, launch, and optimize independently. The result is faster execution, deeper personalization, and 88% greater campaign efficiency. Recognized as a Visionary in Gartner's Magic Quadrant, we partner with leading brands like Sephora, Staples, and Entain. Today, more than 550 Optimovers across NYC, London, Tel Aviv, Scotland, Brazil, Estonia, and beyond are building the future of marketing together, in an environment that actively encourages ownership and growth, with two out of every three managers promoted from within. If you're looking for a place where you can do more, be more, come grow with us. Based in Dundee, Scotland, our R&D operation is a dynamic environment, where every developer can impact the flow of technology - from introducing the smallest library to making big infrastructure changes. We welcome open minded developers who like to share knowledge and help each other to push Optimove forward using the cutting edge of today's tech. The MLOps team is responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. This team will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence and we're looking for a Full Stack Software Engineer to be part of it! Responsibilities: Develop and maintain pipelines for model deployment and monitoring. Collaborate with data scientists to integrate ML models into production systems. Manage cloud infrastructure and resources for ML workflows. Assist in automating repetitive tasks and implementing best practices. Requirements: 2+ years of experience in DevOps, MLOps, or a related role. Proficiency in Python and ML frameworks like TensorFlow or PyTorch. Familiarity with AWS services (e.g., EC2, S3, SageMaker). Knowledge of CI/CD tools and workflows. Basic understanding of containerization (Docker) and orchestration (Kubernetes). Strong debugging and troubleshooting skills. Willingness to learn and adapt to new technologies. Optimove offers a vibrant, people first culture where innovation, ownership, and continuous learning shape everything we do. Our UK team enjoys a modern office with a hybrid work model, daily lunch budget when onsite, and a fully stocked kitchen, along with a wide range of social events throughout the year. We're committed to helping our people grow in an inclusive, supportive workplace recognised as one of the UK's Best Workplaces in Tech and for Wellbeing. Create a Job Alert Interested in building your career at Optimove? Get future opportunities sent straight to your email. Apply for this job Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.
Apr 14, 2026
Full time
At Optimove, we believe people are capable of more than a single job description. You're not hired just to fill a position you're empowered to shape it, grow it, and make it your own. We call this being Positionless. And Positionless isn't just our culture. It's our product. Optimove is the creator of Positionless Marketing, an AI-powered platform that gives every marketer the power to analyze, create, launch, and optimize independently. The result is faster execution, deeper personalization, and 88% greater campaign efficiency. Recognized as a Visionary in Gartner's Magic Quadrant, we partner with leading brands like Sephora, Staples, and Entain. Today, more than 550 Optimovers across NYC, London, Tel Aviv, Scotland, Brazil, Estonia, and beyond are building the future of marketing together, in an environment that actively encourages ownership and growth, with two out of every three managers promoted from within. If you're looking for a place where you can do more, be more, come grow with us. Based in Dundee, Scotland, our R&D operation is a dynamic environment, where every developer can impact the flow of technology - from introducing the smallest library to making big infrastructure changes. We welcome open minded developers who like to share knowledge and help each other to push Optimove forward using the cutting edge of today's tech. The MLOps team is responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. This team will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence and we're looking for a Full Stack Software Engineer to be part of it! Responsibilities: Develop and maintain pipelines for model deployment and monitoring. Collaborate with data scientists to integrate ML models into production systems. Manage cloud infrastructure and resources for ML workflows. Assist in automating repetitive tasks and implementing best practices. Requirements: 2+ years of experience in DevOps, MLOps, or a related role. Proficiency in Python and ML frameworks like TensorFlow or PyTorch. Familiarity with AWS services (e.g., EC2, S3, SageMaker). Knowledge of CI/CD tools and workflows. Basic understanding of containerization (Docker) and orchestration (Kubernetes). Strong debugging and troubleshooting skills. Willingness to learn and adapt to new technologies. Optimove offers a vibrant, people first culture where innovation, ownership, and continuous learning shape everything we do. Our UK team enjoys a modern office with a hybrid work model, daily lunch budget when onsite, and a fully stocked kitchen, along with a wide range of social events throughout the year. We're committed to helping our people grow in an inclusive, supportive workplace recognised as one of the UK's Best Workplaces in Tech and for Wellbeing. Create a Job Alert Interested in building your career at Optimove? Get future opportunities sent straight to your email. Apply for this job Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Apr 14, 2026
Full time
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Ready to make massive impact with microscopic magic? Would you like to work on the next generation of metrology instruments for the semiconductor industry? Are you a Product System Engineer who can: manage the system-level definition, including ownership and evolution of the Multiprobe SPDS / system-level design specification, translating customer/market needs into measurable system requirements, and ensuring subsystem work (optics, mechanics, electronics, control/FPGA, software, DA) coheres into a validated system plan? If this sounds like you, read on Reward and Benefits £50,960 to £80,000 (depending on experience) 25 days annual leave, death in service and private health care benefits, personal pension contributions of 4% with salary sacrifice and a generous EMI Share scheme Based in Abingdon, Oxford, UK,we are a high calibre team of 100 plus people and we are growing fast. We are backed by global financial and industry investors including Applied Ventures , the strategic venture arm of the industry leading equipment company. About the role The role will work closely with an external development partner, expert in complex instrumentation design while maintaining internal alignment across engineering teams. While it is mainly focused on the next generation of instrument, the role will also include system engineering work related to the current generation, especially where there is overlap in terms of performance budgets and modelling. Key accountabilities and responsibilities System definition & requirements ownership System architecture, budgets, and cross-domain integration Verification, validation, and milestone planning Risk & opportunity management External partner technical interface Design constraints & platform alignment A typical day for a Product System Engineer could look like this Keeping the Multiprobe SPDS moving (requirements, open issues, change control), align system-function budgets and Product breakdown specifications with the system function architects using evidence-driven decision making, and translate programme goals into crisp milestones, risks, and test requirements. You'll also be the technical "glue" between Infinitesima and our external design partner joining architecture/design discussions, ensuring knowledge transfer (including systems-engineer training), and turning reviews into clear actions for the wider engineering teams. Who we are looking for To succeed as a Product System Engineer, we do need you to have experience of: Working with complex instrumentation for technology or science, i.e. multi-disciplinary, high-precision/accuracy, large-scale and/or collaborative. Experience in nano-characterisation, for example: Atomic force microscopy (essential) Scanning electron microscopy (desirable) Focused Ion Beam (desirable) Familiarity with some of the following disciplines: mechanics, electronics, optics, software, control systems, motion systems or similar Instrument testing and validation Proficiency in data analysis tools, such as Python, Matlab, Excel, etc Education / Qualifications Either a MSc/MEng in Physics, Engineering or similar, or a clear equivalent path through engineering apprenticeship and design/development positions. 5-10 years of experience in an engineering role We look for these attributes for our team Self-management: Able to work independently, setting priorities for own work based upon the company goals and targets. Teamwork: Engages with other members of the company to bring the best solutions to the problem. Recognise the value that fellow company members bring to enhance own abilities. Supports colleagues with their tasks when critical to the company goals. Impact and Influence: Establishes themselves as the knowledge centre in their own field. Ownership & Initiative: React and address both short- and medium-term issues and proactively takes action to solve them. Results Orientation: Focus on the company goal, avoid distraction, making timely decisions to achieve the target. A bit about us Infinitesima is a privately owned company founded in 2001, as a spin out of the University of Bristol, by CTO Professor Andrew Humphris. Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive. If you require adjustments to take part in the recruitment process, please let us know, we'll do our best to support you. A note on how we run interviews We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. We welcome applicants from all backgrounds and aim to create a fair, supportive recruitment process. To keep things clear, this role needs someone who already has the permanent right to work in the UK. If a role calls for unique expertise that's hard to find locally, we may explore sponsorship options - though this is uncommon.
Apr 14, 2026
Full time
Ready to make massive impact with microscopic magic? Would you like to work on the next generation of metrology instruments for the semiconductor industry? Are you a Product System Engineer who can: manage the system-level definition, including ownership and evolution of the Multiprobe SPDS / system-level design specification, translating customer/market needs into measurable system requirements, and ensuring subsystem work (optics, mechanics, electronics, control/FPGA, software, DA) coheres into a validated system plan? If this sounds like you, read on Reward and Benefits £50,960 to £80,000 (depending on experience) 25 days annual leave, death in service and private health care benefits, personal pension contributions of 4% with salary sacrifice and a generous EMI Share scheme Based in Abingdon, Oxford, UK,we are a high calibre team of 100 plus people and we are growing fast. We are backed by global financial and industry investors including Applied Ventures , the strategic venture arm of the industry leading equipment company. About the role The role will work closely with an external development partner, expert in complex instrumentation design while maintaining internal alignment across engineering teams. While it is mainly focused on the next generation of instrument, the role will also include system engineering work related to the current generation, especially where there is overlap in terms of performance budgets and modelling. Key accountabilities and responsibilities System definition & requirements ownership System architecture, budgets, and cross-domain integration Verification, validation, and milestone planning Risk & opportunity management External partner technical interface Design constraints & platform alignment A typical day for a Product System Engineer could look like this Keeping the Multiprobe SPDS moving (requirements, open issues, change control), align system-function budgets and Product breakdown specifications with the system function architects using evidence-driven decision making, and translate programme goals into crisp milestones, risks, and test requirements. You'll also be the technical "glue" between Infinitesima and our external design partner joining architecture/design discussions, ensuring knowledge transfer (including systems-engineer training), and turning reviews into clear actions for the wider engineering teams. Who we are looking for To succeed as a Product System Engineer, we do need you to have experience of: Working with complex instrumentation for technology or science, i.e. multi-disciplinary, high-precision/accuracy, large-scale and/or collaborative. Experience in nano-characterisation, for example: Atomic force microscopy (essential) Scanning electron microscopy (desirable) Focused Ion Beam (desirable) Familiarity with some of the following disciplines: mechanics, electronics, optics, software, control systems, motion systems or similar Instrument testing and validation Proficiency in data analysis tools, such as Python, Matlab, Excel, etc Education / Qualifications Either a MSc/MEng in Physics, Engineering or similar, or a clear equivalent path through engineering apprenticeship and design/development positions. 5-10 years of experience in an engineering role We look for these attributes for our team Self-management: Able to work independently, setting priorities for own work based upon the company goals and targets. Teamwork: Engages with other members of the company to bring the best solutions to the problem. Recognise the value that fellow company members bring to enhance own abilities. Supports colleagues with their tasks when critical to the company goals. Impact and Influence: Establishes themselves as the knowledge centre in their own field. Ownership & Initiative: React and address both short- and medium-term issues and proactively takes action to solve them. Results Orientation: Focus on the company goal, avoid distraction, making timely decisions to achieve the target. A bit about us Infinitesima is a privately owned company founded in 2001, as a spin out of the University of Bristol, by CTO Professor Andrew Humphris. Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive. If you require adjustments to take part in the recruitment process, please let us know, we'll do our best to support you. A note on how we run interviews We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. We welcome applicants from all backgrounds and aim to create a fair, supportive recruitment process. To keep things clear, this role needs someone who already has the permanent right to work in the UK. If a role calls for unique expertise that's hard to find locally, we may explore sponsorship options - though this is uncommon.
Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.
Apr 14, 2026
Full time
Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.
We are Lightsource bp - and we're on a mission to become a global leader in onshore renewables, anchored by our proven track record in solar development. For over a decade we've been actively working to diversify the way our world is powered with sustainable and responsible renewable power. We work to safely deliver affordable, reliable, large-scale onshore renewable and energy storage solutions to help the world decarbonise. Our growing business is constantly innovating and investing to help drive the energy transition. Our people and projects are focused on supporting long term sustainable growth and energy security. Lightsource bp operates with five core values: Safety, Integrity, Respect, Sustainability, and Drive. We seek to attract and hire individuals who share our commitment to creating a safe workplace, uphold the highest standards of integrity, and demonstrate respect for colleagues, communities, and the environment. Our recruitment process promotes sustainability by valuing long term growth and responsible practices, while seeking candidates with the drive to innovate and lead in the global energy transition. Together, these values shape how we engage, assess, and welcome talent to join us in delivering transformational solar power solutions worldwide. Lightsource bp was fully acquired by bp in 2024. What you'll do (the role) Summary As a Data Science Intern at Lightsource bp, you will work on high impact optimisation and decision science problems that underpin our energy storage and grid integration strategy. You'll contribute to research, design, experiment, implement and test approaches (modelling, simulation, reinforcement learning and optimization) that support improved operational decision making for battery energy storage systems (BESS). This internship is designed for a PhD level researcher who wants to apply cutting edge methods to real world energy systems within a global renewable energy organisation. At Lightsource bp, our Applied AI team is building the next generation of intelligence that powers renewable energy systems at global scale. As part of this team, you won't just contribute to your research-you'll see your work shape real world optimisation, operational decision making, and the future of grid interactive storage. We invest heavily in developing exceptional technical talent, offering exposure to high impact projects, collaboration with experienced AI practitioners, and opportunities to publish, innovate, and drive our AI roadmap forward. Joining us means growing your career in an environment where deep technical expertise is valued, ambitious ideas are encouraged, and your contributions help accelerate the energy transition. The Details Duration: 1 June - 21 August 2026 (12 weeks) Location: London or Milan (Hybrid Working - 3 days per week in office) Type: Full time internship Education Required: Currently pursuing a PhD (or final year PhD candidate) in a quantitative field; Master's degree required as minimum We also consider alternative educational paths if you can demonstrate equivalent experience in RL, optimisation, or advanced machine learning. Responsibilities of the Role Develop and evaluate reinforcement learning (RL), (constrained) optimisation, or simulation models to support BESS dispatch strategy. Prototype algorithms for sequential decision making under uncertainty, incorporating market, operational, and physical system constraints. Analyse large time series and operational datasets to extract actionable insights that support energy trading, grid services, and storage optimisation. Collaborate closely with data scientists and product teams to design experiments and validate models. Communicate findings clearly to both technical and non technical stakeholders through documentation, visualisations, and presentations. Contribute to reproducible, high quality research code and experimentation pipelines. Stay current with emerging methods in RL, optimisation, and energy systems research. Why you'll make a great member of the team Experience & Knowledge Required Experience conducting research or applied work in one or more of: reinforcement learning, control systems, (constrained) optimisation, probabilistic modelling or simulation. Strong understanding of sequential decision making frameworks (e.g., MDPs, policy optimisation, planning). Experience working with large datasets, experimental design, and empirical model evaluation. Understanding of numerical methods, statistical learning, or stochastic processes. Familiarity with energy systems, grid flexibility markets, or storage optimisation is a plus but not mandatory. Skills Required Strong proficiency in Python and its scientific computing toolkit (JAX, Pyomo, NumPy, Scipy, Statsmodels, Pandas/Polars and similar). Solid knowledge of PyTorch, Gymnasium and one or more of the following reinforcement learning frameworks: StableBasleine3, TorchRL, RLlib, SKRL. Ability to design and evaluate RL agents or optimisation algorithms. Strong analytical and mathematical reasoning skills. Ability to communicate complex technical findings clearly and concisely. Ability to within a production grade codebase. Experience with scientific coding best practices (version control, experimentation tracking, reproducibility). Ability to work in a research environment while following agile ways of working (i.e. continuous iterative delivery and improvement). Curiosity, autonomy and good organizational and time management skills. Education Required Currently pursuing a PhD (or in the final years of a PhD) in Machine Learning, Computer Science, Applied Mathematics, Engineering, Operations Research, or a related quantitative field. We consider other educational paths provided the candidate can demonstrate extensive experience in one or more of the areas mentioned before. Why you'll want to work for us Our company is a place where you can be yourself and grow, a place where your ideas and opinions matter. Be you We pride ourselves on being an inclusive community, where every individual is valued and treated with respect. Be responsible Our culture is driven by our core values - from operating safely to ensuring our projects are responsible. Be recognized Alongside a competitive salary, we offer a variety of benefits including annual bonus, retention bank, health insurance, pension and other local benefits. Be inspired Beyond your day to day working life at Lightsource bp, there's a variety of initiatives that will contribute to your own personal development. These include our charitable causes, supporting our solar honey project, or volunteering on our VIBES committee to name a few. Our core values Lightsource bp truly cares about creating a sustainable future through safe, responsible and meaningful low carbon energy projects. Our core values of Safety, Integrity, Respect, Sustainability and Drive are the guiding principles for everything we do.
Apr 14, 2026
Full time
We are Lightsource bp - and we're on a mission to become a global leader in onshore renewables, anchored by our proven track record in solar development. For over a decade we've been actively working to diversify the way our world is powered with sustainable and responsible renewable power. We work to safely deliver affordable, reliable, large-scale onshore renewable and energy storage solutions to help the world decarbonise. Our growing business is constantly innovating and investing to help drive the energy transition. Our people and projects are focused on supporting long term sustainable growth and energy security. Lightsource bp operates with five core values: Safety, Integrity, Respect, Sustainability, and Drive. We seek to attract and hire individuals who share our commitment to creating a safe workplace, uphold the highest standards of integrity, and demonstrate respect for colleagues, communities, and the environment. Our recruitment process promotes sustainability by valuing long term growth and responsible practices, while seeking candidates with the drive to innovate and lead in the global energy transition. Together, these values shape how we engage, assess, and welcome talent to join us in delivering transformational solar power solutions worldwide. Lightsource bp was fully acquired by bp in 2024. What you'll do (the role) Summary As a Data Science Intern at Lightsource bp, you will work on high impact optimisation and decision science problems that underpin our energy storage and grid integration strategy. You'll contribute to research, design, experiment, implement and test approaches (modelling, simulation, reinforcement learning and optimization) that support improved operational decision making for battery energy storage systems (BESS). This internship is designed for a PhD level researcher who wants to apply cutting edge methods to real world energy systems within a global renewable energy organisation. At Lightsource bp, our Applied AI team is building the next generation of intelligence that powers renewable energy systems at global scale. As part of this team, you won't just contribute to your research-you'll see your work shape real world optimisation, operational decision making, and the future of grid interactive storage. We invest heavily in developing exceptional technical talent, offering exposure to high impact projects, collaboration with experienced AI practitioners, and opportunities to publish, innovate, and drive our AI roadmap forward. Joining us means growing your career in an environment where deep technical expertise is valued, ambitious ideas are encouraged, and your contributions help accelerate the energy transition. The Details Duration: 1 June - 21 August 2026 (12 weeks) Location: London or Milan (Hybrid Working - 3 days per week in office) Type: Full time internship Education Required: Currently pursuing a PhD (or final year PhD candidate) in a quantitative field; Master's degree required as minimum We also consider alternative educational paths if you can demonstrate equivalent experience in RL, optimisation, or advanced machine learning. Responsibilities of the Role Develop and evaluate reinforcement learning (RL), (constrained) optimisation, or simulation models to support BESS dispatch strategy. Prototype algorithms for sequential decision making under uncertainty, incorporating market, operational, and physical system constraints. Analyse large time series and operational datasets to extract actionable insights that support energy trading, grid services, and storage optimisation. Collaborate closely with data scientists and product teams to design experiments and validate models. Communicate findings clearly to both technical and non technical stakeholders through documentation, visualisations, and presentations. Contribute to reproducible, high quality research code and experimentation pipelines. Stay current with emerging methods in RL, optimisation, and energy systems research. Why you'll make a great member of the team Experience & Knowledge Required Experience conducting research or applied work in one or more of: reinforcement learning, control systems, (constrained) optimisation, probabilistic modelling or simulation. Strong understanding of sequential decision making frameworks (e.g., MDPs, policy optimisation, planning). Experience working with large datasets, experimental design, and empirical model evaluation. Understanding of numerical methods, statistical learning, or stochastic processes. Familiarity with energy systems, grid flexibility markets, or storage optimisation is a plus but not mandatory. Skills Required Strong proficiency in Python and its scientific computing toolkit (JAX, Pyomo, NumPy, Scipy, Statsmodels, Pandas/Polars and similar). Solid knowledge of PyTorch, Gymnasium and one or more of the following reinforcement learning frameworks: StableBasleine3, TorchRL, RLlib, SKRL. Ability to design and evaluate RL agents or optimisation algorithms. Strong analytical and mathematical reasoning skills. Ability to communicate complex technical findings clearly and concisely. Ability to within a production grade codebase. Experience with scientific coding best practices (version control, experimentation tracking, reproducibility). Ability to work in a research environment while following agile ways of working (i.e. continuous iterative delivery and improvement). Curiosity, autonomy and good organizational and time management skills. Education Required Currently pursuing a PhD (or in the final years of a PhD) in Machine Learning, Computer Science, Applied Mathematics, Engineering, Operations Research, or a related quantitative field. We consider other educational paths provided the candidate can demonstrate extensive experience in one or more of the areas mentioned before. Why you'll want to work for us Our company is a place where you can be yourself and grow, a place where your ideas and opinions matter. Be you We pride ourselves on being an inclusive community, where every individual is valued and treated with respect. Be responsible Our culture is driven by our core values - from operating safely to ensuring our projects are responsible. Be recognized Alongside a competitive salary, we offer a variety of benefits including annual bonus, retention bank, health insurance, pension and other local benefits. Be inspired Beyond your day to day working life at Lightsource bp, there's a variety of initiatives that will contribute to your own personal development. These include our charitable causes, supporting our solar honey project, or volunteering on our VIBES committee to name a few. Our core values Lightsource bp truly cares about creating a sustainable future through safe, responsible and meaningful low carbon energy projects. Our core values of Safety, Integrity, Respect, Sustainability and Drive are the guiding principles for everything we do.
Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we'll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us! Location: Chiswick, London - Hybrid 2 days per week Sponsorship: We are unable to offer sponsorship for this role The Role Reporting to our Tech Director we are looking for a Data Lead to join the team. The Data Lead is responsible for leading the company's data driven transformation by building scalable, cutting edge data infrastructures and implementing advanced analytics and artificial intelligence (AI) strategies. This role will drive the company's data strategy to foster continuous innovation, ensure data driven decision making, and future prove the business by leveraging emerging trends in AI, machine learning, data automation, and real time insights. The Data Lead will oversee Data Engineering, Business Intelligence, and Data Science to ensure data remains a core asset that powers growth, customer centricity, and operational efficiency. Why So Energy? So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we're not done! We're on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer centric, tech led, and passionate about sustainability. We're driven to do our best for our customers, for each other, and for our planet. That's why we've built a workplace culture that's supportive, empowering, inclusive, and full of opportunities to grow and make an impact. At So Energy, we take pride in our values driven culture. We live and breathe by our six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable What you'll be getting up to in this role: Business Intelligence and Real Time Analytics: Drive the evolution of the company's BI capabilities from static reporting to dynamic, real time, and self service analytics, empowering teams with on demand insights. Develop and implement advanced data visualization platforms that are intuitive, interactive, and seamlessly integrated with business workflows to democratize data usage across the organization. Champion the use of augmented analytics, leveraging AI to automate data analysis and uncover hidden patterns and trends in real time, reducing reliance on manual reporting. Align BI efforts with business strategy, ensuring data insights inform critical decisions in customer engagement, marketing, product development, and operational efficiency. AI, Data Science, and Machine Learning for Competitive Advantage: Lead the Data Science and Machine Learning team in embedding predictive analytics and AI driven decision making across key business functions, from customer segmentation to operational forecasting. Explore and implement AI technologies such as natural language processing (NLP), computer vision, and recommendation systems to enhance customer experience and operational processes. Stay ahead of advancements in AI, focusing on the development of explainable AI models to ensure transparency and trust in decision making processes. Utilise cutting edge techniques such as federated learning and reinforcement learning to ensure the company can leverage data without compromising privacy, security, or scalability. Data Infrastructure and Engineering: Architect a future proof, scalable, and secure data infrastructure that leverages cloud native and edge computing technologies. Transition the organization towards a real time data pipeline architecture, facilitating immediate access to insights for faster business decisions. Oversee the development and automation of data pipelines and workflows to ensure data integrity, availability, and integration across various systems. Lead the exploration and implementation of advanced data technologies, including data lakes, event driven architectures, and microservices, to handle increasing volumes of structured and unstructured data. Leadership and Strategy for a Data Driven Organisation: Develop and champion a holistic data strategy that aligns with long term business goals and market trends, positioning data as a strategic asset across all departments. Promote a culture of data literacy and continuous learning, ensuring that every business function can interpret and act on data insights to drive results. Drive innovation by experimenting with emerging technologies, such as synthetic data generation, real time AI powered decision systems, and blockchain for data security. Collaborate with C suite executives to align data initiatives with corporate objectives and spearhead the company's journey to becoming a fully data driven organization. Collaboration and Stakeholder Management: Build strong cross functional relationships to ensure data solutions align with the needs of key stakeholders in departments like Finance, Operations, Customer Services, and Marketing. Proactively identify opportunities where data insights can drive new revenue streams, improve customer acquisition and retention, or enhance operational efficiency. Serve as the company's thought leader in data innovation, continuously educating the leadership team on the strategic potential of emerging data technologies. Foster collaboration between data engineers, data scientists, business analysts, and product teams to ensure seamless integration of data insights into product development and business operations. Future Readiness and Innovation: Constantly monitor and experiment with the latest trends in AI, data engineering, and analytics, ensuring the company remains a leader in data innovation. Explore opportunities in decentralized data architectures and multi cloud environments to enhance agility and resilience. Leverage advances in quantum computing and edge analytics to prepare the organization for next generation data challenges, such as ultra high speed decision making and processing vast datasets in real time. Cultivate partnerships with academic institutions, data science communities, and technology vendors to stay on the cutting edge of research and developments in data science and AI. You're a great match if: Passionate about Data: You have a deep passion for data and its potential to transform business operations and drive growth. You're always excited about uncovering new insights and applying them to solve complex business challenges. Curious and Innovative: You are constantly exploring the latest trends in data science, AI, and analytics, and you enjoy experimenting with emerging technologies to find creative solutions that push the boundaries of what's possible. Problem Solver: You thrive in solving intricate problems and can translate complex data into actionable insights. You enjoy navigating through ambiguity, breaking down challenges into manageable pieces, and finding solutions that deliver real impact to the business. Business-focused: You can translate technical data insights into business terms that drive growth. You don't just focus on the numbers-you focus on the value they bring to the company and its customers. Technologically Savvy: You are well versed in cutting edge data technologies such as cloud platforms, AI, and machine learning. You have experience working with tools like SQL, Python, and data visualization platforms like Looker or Tableau, and you're always eager to learn more. Strategic Thinker: You have a strong ability to align data initiatives with broader business objectives, ensuring that data remains a central part of the company's strategy. You're able to look beyond the numbers and understand the bigger picture, using data to guide long term decisions. Leader and Mentor: You are an empathetic and inspiring leader, able to mentor cross functional teams across Data Engineering, BI, and Data Science. You know how to foster innovation, encourage collaboration, and nurture a data driven culture within your teams. Innovator at heart: You are always looking for opportunities to drive the business forward through data, whether that's through exploring quantum computing for faster processing, or using AI for real time, actionable insights. You are not content with the status quo-you're always thinking ahead. Collaborative: You excel in working with various stakeholders, from senior leadership to technical teams, ensuring that data driven solutions are aligned with business needs. You are skilled at communicating complex ideas in a simple, relatable way, helping others see the value of data. Data Ethics Advocate: You understand the importance of data governance, compliance, and ethical AI practices, and you're committed to ensuring that data is used responsibly and in line with industry regulations. Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart . click apply for full job details
Apr 13, 2026
Full time
Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we'll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us! Location: Chiswick, London - Hybrid 2 days per week Sponsorship: We are unable to offer sponsorship for this role The Role Reporting to our Tech Director we are looking for a Data Lead to join the team. The Data Lead is responsible for leading the company's data driven transformation by building scalable, cutting edge data infrastructures and implementing advanced analytics and artificial intelligence (AI) strategies. This role will drive the company's data strategy to foster continuous innovation, ensure data driven decision making, and future prove the business by leveraging emerging trends in AI, machine learning, data automation, and real time insights. The Data Lead will oversee Data Engineering, Business Intelligence, and Data Science to ensure data remains a core asset that powers growth, customer centricity, and operational efficiency. Why So Energy? So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we're not done! We're on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer centric, tech led, and passionate about sustainability. We're driven to do our best for our customers, for each other, and for our planet. That's why we've built a workplace culture that's supportive, empowering, inclusive, and full of opportunities to grow and make an impact. At So Energy, we take pride in our values driven culture. We live and breathe by our six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable What you'll be getting up to in this role: Business Intelligence and Real Time Analytics: Drive the evolution of the company's BI capabilities from static reporting to dynamic, real time, and self service analytics, empowering teams with on demand insights. Develop and implement advanced data visualization platforms that are intuitive, interactive, and seamlessly integrated with business workflows to democratize data usage across the organization. Champion the use of augmented analytics, leveraging AI to automate data analysis and uncover hidden patterns and trends in real time, reducing reliance on manual reporting. Align BI efforts with business strategy, ensuring data insights inform critical decisions in customer engagement, marketing, product development, and operational efficiency. AI, Data Science, and Machine Learning for Competitive Advantage: Lead the Data Science and Machine Learning team in embedding predictive analytics and AI driven decision making across key business functions, from customer segmentation to operational forecasting. Explore and implement AI technologies such as natural language processing (NLP), computer vision, and recommendation systems to enhance customer experience and operational processes. Stay ahead of advancements in AI, focusing on the development of explainable AI models to ensure transparency and trust in decision making processes. Utilise cutting edge techniques such as federated learning and reinforcement learning to ensure the company can leverage data without compromising privacy, security, or scalability. Data Infrastructure and Engineering: Architect a future proof, scalable, and secure data infrastructure that leverages cloud native and edge computing technologies. Transition the organization towards a real time data pipeline architecture, facilitating immediate access to insights for faster business decisions. Oversee the development and automation of data pipelines and workflows to ensure data integrity, availability, and integration across various systems. Lead the exploration and implementation of advanced data technologies, including data lakes, event driven architectures, and microservices, to handle increasing volumes of structured and unstructured data. Leadership and Strategy for a Data Driven Organisation: Develop and champion a holistic data strategy that aligns with long term business goals and market trends, positioning data as a strategic asset across all departments. Promote a culture of data literacy and continuous learning, ensuring that every business function can interpret and act on data insights to drive results. Drive innovation by experimenting with emerging technologies, such as synthetic data generation, real time AI powered decision systems, and blockchain for data security. Collaborate with C suite executives to align data initiatives with corporate objectives and spearhead the company's journey to becoming a fully data driven organization. Collaboration and Stakeholder Management: Build strong cross functional relationships to ensure data solutions align with the needs of key stakeholders in departments like Finance, Operations, Customer Services, and Marketing. Proactively identify opportunities where data insights can drive new revenue streams, improve customer acquisition and retention, or enhance operational efficiency. Serve as the company's thought leader in data innovation, continuously educating the leadership team on the strategic potential of emerging data technologies. Foster collaboration between data engineers, data scientists, business analysts, and product teams to ensure seamless integration of data insights into product development and business operations. Future Readiness and Innovation: Constantly monitor and experiment with the latest trends in AI, data engineering, and analytics, ensuring the company remains a leader in data innovation. Explore opportunities in decentralized data architectures and multi cloud environments to enhance agility and resilience. Leverage advances in quantum computing and edge analytics to prepare the organization for next generation data challenges, such as ultra high speed decision making and processing vast datasets in real time. Cultivate partnerships with academic institutions, data science communities, and technology vendors to stay on the cutting edge of research and developments in data science and AI. You're a great match if: Passionate about Data: You have a deep passion for data and its potential to transform business operations and drive growth. You're always excited about uncovering new insights and applying them to solve complex business challenges. Curious and Innovative: You are constantly exploring the latest trends in data science, AI, and analytics, and you enjoy experimenting with emerging technologies to find creative solutions that push the boundaries of what's possible. Problem Solver: You thrive in solving intricate problems and can translate complex data into actionable insights. You enjoy navigating through ambiguity, breaking down challenges into manageable pieces, and finding solutions that deliver real impact to the business. Business-focused: You can translate technical data insights into business terms that drive growth. You don't just focus on the numbers-you focus on the value they bring to the company and its customers. Technologically Savvy: You are well versed in cutting edge data technologies such as cloud platforms, AI, and machine learning. You have experience working with tools like SQL, Python, and data visualization platforms like Looker or Tableau, and you're always eager to learn more. Strategic Thinker: You have a strong ability to align data initiatives with broader business objectives, ensuring that data remains a central part of the company's strategy. You're able to look beyond the numbers and understand the bigger picture, using data to guide long term decisions. Leader and Mentor: You are an empathetic and inspiring leader, able to mentor cross functional teams across Data Engineering, BI, and Data Science. You know how to foster innovation, encourage collaboration, and nurture a data driven culture within your teams. Innovator at heart: You are always looking for opportunities to drive the business forward through data, whether that's through exploring quantum computing for faster processing, or using AI for real time, actionable insights. You are not content with the status quo-you're always thinking ahead. Collaborative: You excel in working with various stakeholders, from senior leadership to technical teams, ensuring that data driven solutions are aligned with business needs. You are skilled at communicating complex ideas in a simple, relatable way, helping others see the value of data. Data Ethics Advocate: You understand the importance of data governance, compliance, and ethical AI practices, and you're committed to ensuring that data is used responsibly and in line with industry regulations. Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart . click apply for full job details
A fast-paced AI startup in the UK is looking for a Senior Data Scientist with 4-8 years of experience to design and implement advanced machine learning models. In this role, you will focus on user behavior prediction and collaborate directly with the founders to influence product direction. The position offers a salary between £85,000 and £95,000 plus meaningful equity, alongside significant autonomy and participation in shaping the product's future. This is a hybrid role requiring 2-3 days in the office.
Apr 13, 2026
Full time
A fast-paced AI startup in the UK is looking for a Senior Data Scientist with 4-8 years of experience to design and implement advanced machine learning models. In this role, you will focus on user behavior prediction and collaborate directly with the founders to influence product direction. The position offers a salary between £85,000 and £95,000 plus meaningful equity, alongside significant autonomy and participation in shaping the product's future. This is a hybrid role requiring 2-3 days in the office.
Element Materials Technology Ltd.
Malvern, Worcestershire
Overview Element has an opportunity for a Sales Director. The primary function of the Sales Director is leading and coaching assigned staff to drive profitable growth both within current customer base and new prospects, to increase customer satisfaction, drive productivity and achieve and exceed Element's booking objectives. The successful candidate will manage a sales team (which can consist of Business Development Directors, Business Development Managers and Business Development Associates), Inside Sales Manager(s) and Quotation Management Team. In this role you will be responsible for the day-to-day management and coaching of a sales team and quotation management team, to maximize bookings on all customer segments. You will display and cascade an Enterprise mentality and create a positive environment. You will also responsible for the prioritization and assignment of their resources to the best opportunities and potential customers, setting clear goals and priorities for their direct reports. Responsibilities Ensure sales resources are aligned with Element's Sales 'go to market' strategy Create and review strategic plan and annual plan to ensure adherence to initiatives and objectives Ensure sales team uses desired behaviours and actions to execute the sales strategy Drive proactive positive enterprise sales approach through the commercial organization Achieve rollup sales goals through effective coaching and managing of direct reports Coach sales resources to determine best course of action to advance sales opportunities Engage other Element resources to help team members to advance opportunities Partners with Operations when needed in order to have seamless execution Assess direct reports and provide them with tools necessary to improve the required skills and competencies Ensure the sales resources are prioritizing highest opportunity accounts Drive quotation management team to adhere to customer requirement Drive new customer acquisition and penetration Represent regional sales in periodic business reviews, business reporting and leadership forums Ensure compliance with all Element policies including but not limited to Terms and Conditions, trade compliance, treatment of others, moral code of conduct, and employee handbook Ensure adherence to all applicable laws pertaining to safety, environment and corporate governance Skills / Qualifications A significant career of Sales experience, of which 5-10 years must have been in a sales management position Degree or equivalent combination of education and experience Responsible for a minimum, 8 digit order intake budget Remote management of a national (or very large multi-state region) sales team Ability to read and interpret documents such as customer quotes / contracts, marketing materials, and customer testing specifications Ability to write routine reports and correspondence and speak effectively before groups of customers or employees of organization Ability to calculate figures and amounts such as discounts, interest, commissions and proportions and apply concepts of basic algebra and geometry Ability to solve practical customer problems and interpret a variety of instructions, data and details furnished in written, oral, diagram, or schedule form Must have valid Driver's License, with an acceptable driving record under Element's policy Experience in interpreting testing procedures and requirements Proficiency in Microsoft Applications (Word, Excel) Availability, flexibility, and maturity to represent the company at a broad range of events / projects in the community, with customers and within the company Ability to remain calm when faced with mounting pressure related to deadlines and multiple priorities Well-developed oral and written communication skills to meet a variety of communication needs Good interpersonal skills that foster open upward and downward communication built on mutual respect Ability to interface with clients, win new work and determine their requirements; helps develops proposals including cost estimates, work plan and terms and conditions Ability to travel up to 75% of the time; some overnight travel may be required Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to 'Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.
Apr 13, 2026
Full time
Overview Element has an opportunity for a Sales Director. The primary function of the Sales Director is leading and coaching assigned staff to drive profitable growth both within current customer base and new prospects, to increase customer satisfaction, drive productivity and achieve and exceed Element's booking objectives. The successful candidate will manage a sales team (which can consist of Business Development Directors, Business Development Managers and Business Development Associates), Inside Sales Manager(s) and Quotation Management Team. In this role you will be responsible for the day-to-day management and coaching of a sales team and quotation management team, to maximize bookings on all customer segments. You will display and cascade an Enterprise mentality and create a positive environment. You will also responsible for the prioritization and assignment of their resources to the best opportunities and potential customers, setting clear goals and priorities for their direct reports. Responsibilities Ensure sales resources are aligned with Element's Sales 'go to market' strategy Create and review strategic plan and annual plan to ensure adherence to initiatives and objectives Ensure sales team uses desired behaviours and actions to execute the sales strategy Drive proactive positive enterprise sales approach through the commercial organization Achieve rollup sales goals through effective coaching and managing of direct reports Coach sales resources to determine best course of action to advance sales opportunities Engage other Element resources to help team members to advance opportunities Partners with Operations when needed in order to have seamless execution Assess direct reports and provide them with tools necessary to improve the required skills and competencies Ensure the sales resources are prioritizing highest opportunity accounts Drive quotation management team to adhere to customer requirement Drive new customer acquisition and penetration Represent regional sales in periodic business reviews, business reporting and leadership forums Ensure compliance with all Element policies including but not limited to Terms and Conditions, trade compliance, treatment of others, moral code of conduct, and employee handbook Ensure adherence to all applicable laws pertaining to safety, environment and corporate governance Skills / Qualifications A significant career of Sales experience, of which 5-10 years must have been in a sales management position Degree or equivalent combination of education and experience Responsible for a minimum, 8 digit order intake budget Remote management of a national (or very large multi-state region) sales team Ability to read and interpret documents such as customer quotes / contracts, marketing materials, and customer testing specifications Ability to write routine reports and correspondence and speak effectively before groups of customers or employees of organization Ability to calculate figures and amounts such as discounts, interest, commissions and proportions and apply concepts of basic algebra and geometry Ability to solve practical customer problems and interpret a variety of instructions, data and details furnished in written, oral, diagram, or schedule form Must have valid Driver's License, with an acceptable driving record under Element's policy Experience in interpreting testing procedures and requirements Proficiency in Microsoft Applications (Word, Excel) Availability, flexibility, and maturity to represent the company at a broad range of events / projects in the community, with customers and within the company Ability to remain calm when faced with mounting pressure related to deadlines and multiple priorities Well-developed oral and written communication skills to meet a variety of communication needs Good interpersonal skills that foster open upward and downward communication built on mutual respect Ability to interface with clients, win new work and determine their requirements; helps develops proposals including cost estimates, work plan and terms and conditions Ability to travel up to 75% of the time; some overnight travel may be required Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to 'Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.
Interim Senior Influencer & Social Manager - Living Proof (12 month FTC) London Job Title: Senior Social Manager & Influencer Manager (Living Proof UK) Location: London (Hybrid) Brand: Living Proof Reporting to: Brand Director Direct Reports: Social Media & Influencer Manager About Living Proof In 2005, an unlikely combination of biotech scientists and renowned hair stylists came together to pioneer a first-of-its-kind haircare philosophy based in science. Our mission was to create inventive solutions designed to solve real-world hair problems, not conceal them. 156 global patents,450+ formulas, 44products,100+awards, and 16 years later, we continue to put research at the forefront of our formulations. Today, Living Proof isScience in Action - utilizing in-house scientific discovery and invention to develop the latest innovations in haircare that deliver game-changing results for all hair types and textures. We are the science. You are the Living Proof . Role Summary Ownership of UK Paid Influencer Strategy, and overseeing UK Social Media Strategy. Continuing to support Living Proof brand objectives, drive brand awareness and conversion via DTC and key retailers through relevant influencer partnerships and targeted content. Responsibilities & Duties Organic Social Media Support and oversee Social & Influencer Manager in development and implementation of organic social media strategy. Ensure all content planned and created by Social & Influencer Manager is in line with wider brand objectives (ie. promotion of key retailers, 'icon' products etc.) Support retail team in ensuring coverage of all key retail partners. Leading the UK Paid Social strategy to drive traffic and sales on UK DTC + key UK Retailers / Pure players (Space NK, Boots & LookFantastic) DTC - paid media: Identify, recommend and test new content ideas for paid media Lead on briefing and delivery of best performing UGC content for paid media, based on previous campaign data and results. Work with DTC to implement influencer discount offers and bundles for key long-term partners in line with influencer revenue targets. Work with affiliate networks and the Ecommerce team to identify influencers for traffic and sales-driving paid partnerships. Retailers/Pure Players: Leverage bespoke influencer content for key UK retailers - primarily Space NK, THG, Boots and Sephora - ensuring regular cadence of coverage on retailer social channels to drive traffic and sales. Oversee implementation of Social and Influencer Manager's content plans to drive traffic and sales in-store at Space NK, Boots & Sephora UK Paid Influencer Partnerships, leveraging the global influencer strategy to also benefit the UK Develop and execute the influencer paid partnership strategy for Living Proof UK, to meet frequency, EMV and revenue metrics. Support B2B team in planning and executing influencer activity on partner channels (e.g., Look Fantastic, Space NK, Sephora). Manage all paid influencer activity including creation of briefs, negotiation with agents and influencers, contracts, reviewing and approving assets and identifying new partners to work with to support key brand objectives. Drive brand advocacy via long-term partnerships, ensuring organic coverage and brand love outside of paid deliverables. Analysis of all paid influencer activations, tracking against KPIs and budget. Management of dedicated influencer budget. Work closely with the Communications Team to plan and execute influencer events and creative mailings for new product launches and brand campaigns. Provide expert insight into emerging influencer marketing trends, competitor strategies and best practices. Stylist Management Stylist Squad Oversee Social and Influencer Manager on leading Long term stylist partnerships - identifying relevant partnerships to drive awareness and authority in both markets. Stay reactive, putting Living Proof at the forefront of key hair and lifestyle trends with expert advice via credible stylist partners. Stylist Community Oversee Social and Influencer Manager on maintenance of strong UK stylist social community (150 stylists) - prioritising high engagement, brand love and posting frequency over scaling size of community. Support wider marketing projects / consumer engagement Customer Communication: Engaging with customers through various channels like social media, email, and feedback platforms to address inquiries, provide assistance, and gather feedback. Content Creation and Curation: Developing relevant and engaging content to connect with consumers, including social media updates, emails, retailer comms and more. Educating by providing resources and information to help customers better understand and utilise products or services. Campaign deployment: support the business brand director in the development of marketing activities Social listening / Community Management: Overseeing online communities + reviews related to the brand, ensuring a positive and interactive environment for customers to share experiences and insights. Feedback Analysis: Gathering and analysing customer feedback to identify areas for improvement and making recommendations to enhance products or services. Additional Requirements Future Fit Skills: Creativity, Consumer Experience, Problem Solving Winning Behaviours: Care Deeply, Consumer Experience, Problem Solving As an equal opportunities' employer, Unilever Prestige Hub Brands/Tatcha/Murad Living Proof/K18 is committed to the equal treatment of all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse workforce because, in our view, diversity enables better business outcomes. We also believe that a more inclusive workplace, where people of different backgrounds work together, ensures better outcomes for all staff. From application to interview, we place inclusion at the heart of all we do. In particular, we strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join Unilever Prestige Hub Brands/Tatcha/Murad Living Proof/K18.
Apr 13, 2026
Full time
Interim Senior Influencer & Social Manager - Living Proof (12 month FTC) London Job Title: Senior Social Manager & Influencer Manager (Living Proof UK) Location: London (Hybrid) Brand: Living Proof Reporting to: Brand Director Direct Reports: Social Media & Influencer Manager About Living Proof In 2005, an unlikely combination of biotech scientists and renowned hair stylists came together to pioneer a first-of-its-kind haircare philosophy based in science. Our mission was to create inventive solutions designed to solve real-world hair problems, not conceal them. 156 global patents,450+ formulas, 44products,100+awards, and 16 years later, we continue to put research at the forefront of our formulations. Today, Living Proof isScience in Action - utilizing in-house scientific discovery and invention to develop the latest innovations in haircare that deliver game-changing results for all hair types and textures. We are the science. You are the Living Proof . Role Summary Ownership of UK Paid Influencer Strategy, and overseeing UK Social Media Strategy. Continuing to support Living Proof brand objectives, drive brand awareness and conversion via DTC and key retailers through relevant influencer partnerships and targeted content. Responsibilities & Duties Organic Social Media Support and oversee Social & Influencer Manager in development and implementation of organic social media strategy. Ensure all content planned and created by Social & Influencer Manager is in line with wider brand objectives (ie. promotion of key retailers, 'icon' products etc.) Support retail team in ensuring coverage of all key retail partners. Leading the UK Paid Social strategy to drive traffic and sales on UK DTC + key UK Retailers / Pure players (Space NK, Boots & LookFantastic) DTC - paid media: Identify, recommend and test new content ideas for paid media Lead on briefing and delivery of best performing UGC content for paid media, based on previous campaign data and results. Work with DTC to implement influencer discount offers and bundles for key long-term partners in line with influencer revenue targets. Work with affiliate networks and the Ecommerce team to identify influencers for traffic and sales-driving paid partnerships. Retailers/Pure Players: Leverage bespoke influencer content for key UK retailers - primarily Space NK, THG, Boots and Sephora - ensuring regular cadence of coverage on retailer social channels to drive traffic and sales. Oversee implementation of Social and Influencer Manager's content plans to drive traffic and sales in-store at Space NK, Boots & Sephora UK Paid Influencer Partnerships, leveraging the global influencer strategy to also benefit the UK Develop and execute the influencer paid partnership strategy for Living Proof UK, to meet frequency, EMV and revenue metrics. Support B2B team in planning and executing influencer activity on partner channels (e.g., Look Fantastic, Space NK, Sephora). Manage all paid influencer activity including creation of briefs, negotiation with agents and influencers, contracts, reviewing and approving assets and identifying new partners to work with to support key brand objectives. Drive brand advocacy via long-term partnerships, ensuring organic coverage and brand love outside of paid deliverables. Analysis of all paid influencer activations, tracking against KPIs and budget. Management of dedicated influencer budget. Work closely with the Communications Team to plan and execute influencer events and creative mailings for new product launches and brand campaigns. Provide expert insight into emerging influencer marketing trends, competitor strategies and best practices. Stylist Management Stylist Squad Oversee Social and Influencer Manager on leading Long term stylist partnerships - identifying relevant partnerships to drive awareness and authority in both markets. Stay reactive, putting Living Proof at the forefront of key hair and lifestyle trends with expert advice via credible stylist partners. Stylist Community Oversee Social and Influencer Manager on maintenance of strong UK stylist social community (150 stylists) - prioritising high engagement, brand love and posting frequency over scaling size of community. Support wider marketing projects / consumer engagement Customer Communication: Engaging with customers through various channels like social media, email, and feedback platforms to address inquiries, provide assistance, and gather feedback. Content Creation and Curation: Developing relevant and engaging content to connect with consumers, including social media updates, emails, retailer comms and more. Educating by providing resources and information to help customers better understand and utilise products or services. Campaign deployment: support the business brand director in the development of marketing activities Social listening / Community Management: Overseeing online communities + reviews related to the brand, ensuring a positive and interactive environment for customers to share experiences and insights. Feedback Analysis: Gathering and analysing customer feedback to identify areas for improvement and making recommendations to enhance products or services. Additional Requirements Future Fit Skills: Creativity, Consumer Experience, Problem Solving Winning Behaviours: Care Deeply, Consumer Experience, Problem Solving As an equal opportunities' employer, Unilever Prestige Hub Brands/Tatcha/Murad Living Proof/K18 is committed to the equal treatment of all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse workforce because, in our view, diversity enables better business outcomes. We also believe that a more inclusive workplace, where people of different backgrounds work together, ensures better outcomes for all staff. From application to interview, we place inclusion at the heart of all we do. In particular, we strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join Unilever Prestige Hub Brands/Tatcha/Murad Living Proof/K18.
Senior Data Scientist Salary: £85,000 - £95,000 + Equity Location: Central London (Hybrid - 2-3 days per week in office) We are currently looking for aSenior Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly to the co-founders, this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Senior Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Senior Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-end What makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership , not layers of process It's a chance to join early and help shape a product What's in it for you? £85,000 - £95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment If you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below.
Apr 12, 2026
Full time
Senior Data Scientist Salary: £85,000 - £95,000 + Equity Location: Central London (Hybrid - 2-3 days per week in office) We are currently looking for aSenior Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly to the co-founders, this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Senior Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Senior Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-end What makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership , not layers of process It's a chance to join early and help shape a product What's in it for you? £85,000 - £95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment If you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below.
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in; Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONISIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus 28 days annual leave, plus bank holidays and volunteering days Life Insurance Wellness programs and support Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period:5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time
Apr 11, 2026
Full time
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in; Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONISIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus 28 days annual leave, plus bank holidays and volunteering days Life Insurance Wellness programs and support Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period:5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time
A dynamic data-driven company in the UK is seeking a Senior Data Scientist to design and implement customer-facing ML/AI features. This role involves using SQL and Python to analyze data, prototyping ideas, and collaborating with teams to transform raw data into product features. The ideal candidate should have over 5 years of experience in data science and a strong product-oriented mindset. You'll work in a remote-first environment, having real ownership over the product's development and impact.
Apr 11, 2026
Full time
A dynamic data-driven company in the UK is seeking a Senior Data Scientist to design and implement customer-facing ML/AI features. This role involves using SQL and Python to analyze data, prototyping ideas, and collaborating with teams to transform raw data into product features. The ideal candidate should have over 5 years of experience in data science and a strong product-oriented mindset. You'll work in a remote-first environment, having real ownership over the product's development and impact.
the ambitious goal of building the data, AI and software infrastructure for the future of manufacturing working at the crossover of software and hardware (we are truly full stack and often are in factories) designing efficient architectures to handle large amounts of data and 10,000s of connected machines (working on everything from embedded systems and edge compute, to cloud deployments) delivering real impact on how we manufacture the world around us About Matta Matta is creating industrial AI for factories. We are a group of engineers, scientists, and company builders developing manufacturing foundation models (MFMs) and a general-purpose manufacturing OS to improve the sustainability of manufacturing today and to unlock the unimaginable technologies of tomorrow. What we actually do: Build insane AI models that understand the physics of manufacturing processes (think futuristic stuff like machines that watch and correct themselves on the fly or even learn how to use brand-new, never-seen-before materials autonomously). Research new foundational models for manufacturing enabling users to install vision-based inspection and quality control AIs in less than 24 hours! (for context the industry standard is about 6 months). Think really hard about how manufacturing will look in 10+ years and build a brand-new intuitive OS and interfaces for orchestrating factories, monitoring machines, controlling production, etc. all with AI. For context, we are a small dynamic team from Google X, Microsoft, Cambridge, MIT, Imperial, BBC R&D to name a few. We work a lot and are all close friends - come join the family! We're looking for a Backend Engineer to help design, build, and scale our manufacturing OS. You'll work directly on our FastAPI-based backend with the challenging task of designing highly scalable system architectures to handles 1000s of real-time data streams across 100s of manufacturing processes. What makes this especially challenging is generalising across different use cases and customer environments. We need to be super flexible without compromising on performance and code sanity - from beer bottle factories to aerospace components. You'll juggle back and forth between: 1) creating API endpoints for our edge devices, 2) improving the efficiency of database queries, 3) integrating new features in our frontend dashboard 4) plus more. This isn't your typical dev gig - expect to work hard and collaborate with an exceptional team of top engineers, scientists, and builders, all obsessed with embodied AI reshaping the manufacturing world. About You A backend behemoth: You write clean, scalable, high-performance backend code. You take pride in your craft. Bonus points for familiarity or mastery with our tech stack: FastAPI and pydantic, postgres, sqlalchemy, etc. Happy with (or ready to learn about) all the usual add ons like Redis, Celery, New Relic, Sentry; and deploying to production with good CI/CD/testing/logging practices. You've led projects from start to finish, overcoming hurdles and shipping brilliant products (in startups? even better) and you are a bit batty and want to learn more! People person: you love working in teams, sharing knowledge, mentoring/teaching others, and embracing feedback (and yes, you're always game for a team Lego building break). You're adaptable and thrive in dynamic environments where every day brings new challenges. Probably have a master's in engineering / computer science / maths or related field. Ideally 3+ years of industry experience. Above all, we are looking to build a team of creative, outside of the box thinking problem solvers. For this, candidates should be: Capable of setting and reaching ambitious goals, and taking a project from concept to completion. Self directed, self organised, proactive, and comfortable in a dynamic, multi disciplinary work environment. Team players with excellent communication and interpersonal skills. Enthusiastic tea or coffee drinkers who enjoy a good biscuit or two and a good slice of cake (this is the most important criteria). What will impress us Being proactive. Building or sending us example AI or data related projects - even better if related to the role. Whether you're a chess grandmaster, a world champion at tiddlywinks, or a badass musician, we'd love to see the hobbies, skills, or activities you take to the next level - we're always impressed by those who go all in! Clear passion in our mission, not a random reason to work with us. Matta is an equal opportunity employer and encourages individuals from all backgrounds to apply. We offer competitive compensation, the friendliest of teams, an insanely stimulating work environment, and the opportunity to be a part of something massive. Location Our London office, 5 minutes from Old Street Station. Think vibrant startup attic vibes with a team that knows when to laugh and when to focus. Contact us Office address 77 East Road, London, N1 6AH, UK
Apr 10, 2026
Full time
the ambitious goal of building the data, AI and software infrastructure for the future of manufacturing working at the crossover of software and hardware (we are truly full stack and often are in factories) designing efficient architectures to handle large amounts of data and 10,000s of connected machines (working on everything from embedded systems and edge compute, to cloud deployments) delivering real impact on how we manufacture the world around us About Matta Matta is creating industrial AI for factories. We are a group of engineers, scientists, and company builders developing manufacturing foundation models (MFMs) and a general-purpose manufacturing OS to improve the sustainability of manufacturing today and to unlock the unimaginable technologies of tomorrow. What we actually do: Build insane AI models that understand the physics of manufacturing processes (think futuristic stuff like machines that watch and correct themselves on the fly or even learn how to use brand-new, never-seen-before materials autonomously). Research new foundational models for manufacturing enabling users to install vision-based inspection and quality control AIs in less than 24 hours! (for context the industry standard is about 6 months). Think really hard about how manufacturing will look in 10+ years and build a brand-new intuitive OS and interfaces for orchestrating factories, monitoring machines, controlling production, etc. all with AI. For context, we are a small dynamic team from Google X, Microsoft, Cambridge, MIT, Imperial, BBC R&D to name a few. We work a lot and are all close friends - come join the family! We're looking for a Backend Engineer to help design, build, and scale our manufacturing OS. You'll work directly on our FastAPI-based backend with the challenging task of designing highly scalable system architectures to handles 1000s of real-time data streams across 100s of manufacturing processes. What makes this especially challenging is generalising across different use cases and customer environments. We need to be super flexible without compromising on performance and code sanity - from beer bottle factories to aerospace components. You'll juggle back and forth between: 1) creating API endpoints for our edge devices, 2) improving the efficiency of database queries, 3) integrating new features in our frontend dashboard 4) plus more. This isn't your typical dev gig - expect to work hard and collaborate with an exceptional team of top engineers, scientists, and builders, all obsessed with embodied AI reshaping the manufacturing world. About You A backend behemoth: You write clean, scalable, high-performance backend code. You take pride in your craft. Bonus points for familiarity or mastery with our tech stack: FastAPI and pydantic, postgres, sqlalchemy, etc. Happy with (or ready to learn about) all the usual add ons like Redis, Celery, New Relic, Sentry; and deploying to production with good CI/CD/testing/logging practices. You've led projects from start to finish, overcoming hurdles and shipping brilliant products (in startups? even better) and you are a bit batty and want to learn more! People person: you love working in teams, sharing knowledge, mentoring/teaching others, and embracing feedback (and yes, you're always game for a team Lego building break). You're adaptable and thrive in dynamic environments where every day brings new challenges. Probably have a master's in engineering / computer science / maths or related field. Ideally 3+ years of industry experience. Above all, we are looking to build a team of creative, outside of the box thinking problem solvers. For this, candidates should be: Capable of setting and reaching ambitious goals, and taking a project from concept to completion. Self directed, self organised, proactive, and comfortable in a dynamic, multi disciplinary work environment. Team players with excellent communication and interpersonal skills. Enthusiastic tea or coffee drinkers who enjoy a good biscuit or two and a good slice of cake (this is the most important criteria). What will impress us Being proactive. Building or sending us example AI or data related projects - even better if related to the role. Whether you're a chess grandmaster, a world champion at tiddlywinks, or a badass musician, we'd love to see the hobbies, skills, or activities you take to the next level - we're always impressed by those who go all in! Clear passion in our mission, not a random reason to work with us. Matta is an equal opportunity employer and encourages individuals from all backgrounds to apply. We offer competitive compensation, the friendliest of teams, an insanely stimulating work environment, and the opportunity to be a part of something massive. Location Our London office, 5 minutes from Old Street Station. Think vibrant startup attic vibes with a team that knows when to laugh and when to focus. Contact us Office address 77 East Road, London, N1 6AH, UK
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Apr 10, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure by design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Java Engineer to join our Security and Intelligence consulting team and will be responsible for designing, developing and maintaining secure software services and mission applications within classified government environments. The role focuses on building high-performance backend systems, microservices and APIs that enable intelligence data platforms, analytics systems and operational applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, data scientists, DevOps engineers and mission analysts to deliver secure, production grade software systems. Typical engagements include: Developing Java based microservices and backend platforms Building API driven services enabling data exploitation and analytics Supporting distributed analytics platforms and intelligence applications Integrating software components across complex secure environments Delivering cloud native and containerised mission software systems Job Responsibilities Design, develop and maintain secure Java based backend services supporting mission critical and operational systems. Build scalable microservices architectures and robust RESTful APIs to support data driven and intelligence platforms. Engineer high performance, distributed applications capable of processing large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing and continuous improvement activities. Implement logging, monitoring and observability to support the operation of production systems. Collaborate closely with multi disciplinary teams including engineers, data specialists and operational stakeholders. Skills Required Strong experience developing Java based backend applications (Java 11+) using modern frameworks such as Spring Boot / Spring Framework. Solid understanding of object oriented design, software architecture and building RESTful APIs. Experience designing and developing distributed systems and microservices architectures, including service to service communication and API integration patterns. Proven ability to build high performance, scalable backend systems for data intensive or mission critical applications. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, automated testing and observability tooling. Ability to work directly with stakeholders to understand requirements and translate them into robust, secure and scalable software solutions. Strong collaboration and communication skills, with the ability to explain technical concepts to both technical and non technical audiences. Comfortable working in secure or regulated environments, delivering software within complex operational constraints. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 a year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Apr 10, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure by design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Java Engineer to join our Security and Intelligence consulting team and will be responsible for designing, developing and maintaining secure software services and mission applications within classified government environments. The role focuses on building high-performance backend systems, microservices and APIs that enable intelligence data platforms, analytics systems and operational applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, data scientists, DevOps engineers and mission analysts to deliver secure, production grade software systems. Typical engagements include: Developing Java based microservices and backend platforms Building API driven services enabling data exploitation and analytics Supporting distributed analytics platforms and intelligence applications Integrating software components across complex secure environments Delivering cloud native and containerised mission software systems Job Responsibilities Design, develop and maintain secure Java based backend services supporting mission critical and operational systems. Build scalable microservices architectures and robust RESTful APIs to support data driven and intelligence platforms. Engineer high performance, distributed applications capable of processing large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing and continuous improvement activities. Implement logging, monitoring and observability to support the operation of production systems. Collaborate closely with multi disciplinary teams including engineers, data specialists and operational stakeholders. Skills Required Strong experience developing Java based backend applications (Java 11+) using modern frameworks such as Spring Boot / Spring Framework. Solid understanding of object oriented design, software architecture and building RESTful APIs. Experience designing and developing distributed systems and microservices architectures, including service to service communication and API integration patterns. Proven ability to build high performance, scalable backend systems for data intensive or mission critical applications. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, automated testing and observability tooling. Ability to work directly with stakeholders to understand requirements and translate them into robust, secure and scalable software solutions. Strong collaboration and communication skills, with the ability to explain technical concepts to both technical and non technical audiences. Comfortable working in secure or regulated environments, delivering software within complex operational constraints. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 a year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Director, Process Innovation Location: Walloon Brabant, Belgium Proclinical is partnering with a highly innovative biotechnology organization that is part of a leading global biopharmaceutical group. The company is at the cutting edge of next-generation in vivo cell and gene therapies, with a particular focus on novel lentiviral vector platforms designed to transform how therapies are delivered and manufactured. Combining the agility of a research-driven biotech with the scale and resources of a major pharmaceutical organization, this is a collaborative, science-first environment where creativity and technical excellence are encouraged, and where discovery work has a clear line of sight to patient impact. The Opportunity Proclinical is seeking a Director, Process Innovation to lead discovery-stage process development and analytical innovation for an emerging lentiviral vector platform. This is a strategic leadership role focused on early-stage process design, platform building, and technical de-risking, rather than routine manufacturing or late-stage CMC. You will play a critical role in shaping how vectors are produced, characterized, and translated from bench to scalable bioreactor systems - creating the technical foundation that future CMC teams will build upon. This position can be based in Massachusetts, United States, Belgium or in Cambridgeshire, United Kingdom. What You'll Do: Define and drive the vision for early process innovation in lentiviral vector production, operating at the interface of discovery science and enabling technologies. Design and optimize processes suitable for small-scale bioreactor manufacturing. Lead the development of fit-for-purpose analytical methods to assess vector quality, potency, and consistency at the discovery stage. Support the engineering of novel production cell lines to enable next-generation vector platforms. Collaborate closely with discovery scientists, CMC, QA, and external CDMOs to ensure alignment and future tech-transfer readiness. Provide expert technical judgment, critically evaluating experimental plans, data packages, and external deliverables. Build, mentor, and inspire a high-performing team that values innovation, rigor, and accountability. What You'll Bring: MSc or PhD in Virology, Biochemistry, Cell Biology, Molecular Biology, Biomedical Engineering, or a related discipline. Proven years of industry experience in bioprocess development and analytical sciences, ideally within viral vectors. Proven leadership in early-stage process development, preferably with lentiviral systems. Experience working with and overseeing CDMOs or external manufacturing partners. Solid understanding of regulatory expectations for gene or cell therapy CMC development. Strong communication skills, collaborative mindset, and a passion for advancing transformative medicines. Why This Role Matters This is a rare opportunity to shape how future in vivo cell therapies are made - defining new technical standards, enabling innovative platforms, and accelerating the path from discovery to scalable therapies that could transform patient care. If you are having difficulty in applying or if you have any questions, please contact Neil Walton at (url removed). If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - (url removed)>
Apr 10, 2026
Full time
Director, Process Innovation Location: Walloon Brabant, Belgium Proclinical is partnering with a highly innovative biotechnology organization that is part of a leading global biopharmaceutical group. The company is at the cutting edge of next-generation in vivo cell and gene therapies, with a particular focus on novel lentiviral vector platforms designed to transform how therapies are delivered and manufactured. Combining the agility of a research-driven biotech with the scale and resources of a major pharmaceutical organization, this is a collaborative, science-first environment where creativity and technical excellence are encouraged, and where discovery work has a clear line of sight to patient impact. The Opportunity Proclinical is seeking a Director, Process Innovation to lead discovery-stage process development and analytical innovation for an emerging lentiviral vector platform. This is a strategic leadership role focused on early-stage process design, platform building, and technical de-risking, rather than routine manufacturing or late-stage CMC. You will play a critical role in shaping how vectors are produced, characterized, and translated from bench to scalable bioreactor systems - creating the technical foundation that future CMC teams will build upon. This position can be based in Massachusetts, United States, Belgium or in Cambridgeshire, United Kingdom. What You'll Do: Define and drive the vision for early process innovation in lentiviral vector production, operating at the interface of discovery science and enabling technologies. Design and optimize processes suitable for small-scale bioreactor manufacturing. Lead the development of fit-for-purpose analytical methods to assess vector quality, potency, and consistency at the discovery stage. Support the engineering of novel production cell lines to enable next-generation vector platforms. Collaborate closely with discovery scientists, CMC, QA, and external CDMOs to ensure alignment and future tech-transfer readiness. Provide expert technical judgment, critically evaluating experimental plans, data packages, and external deliverables. Build, mentor, and inspire a high-performing team that values innovation, rigor, and accountability. What You'll Bring: MSc or PhD in Virology, Biochemistry, Cell Biology, Molecular Biology, Biomedical Engineering, or a related discipline. Proven years of industry experience in bioprocess development and analytical sciences, ideally within viral vectors. Proven leadership in early-stage process development, preferably with lentiviral systems. Experience working with and overseeing CDMOs or external manufacturing partners. Solid understanding of regulatory expectations for gene or cell therapy CMC development. Strong communication skills, collaborative mindset, and a passion for advancing transformative medicines. Why This Role Matters This is a rare opportunity to shape how future in vivo cell therapies are made - defining new technical standards, enabling innovative platforms, and accelerating the path from discovery to scalable therapies that could transform patient care. If you are having difficulty in applying or if you have any questions, please contact Neil Walton at (url removed). If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - (url removed)>
