Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are an early-career software developer or recent graduate with a keen interest in generating real-world impact with industrial applications. Must have: A recent degree in a STEM field (e.g., engineering, physics, mathematics, computer science). Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes. Strong communication skills. Programming experience with any of C#, Rust, or other typed languages; Interest in cloud technologies: e.g. AWS or Azure. Eligibility to work in the UK. Nice to have: Understanding of software engineering best practices. Some exposure to applied experience, e.g., internships, research projects, or personal projects. Familiarity with DevOps tools like Kubernetes, HashiCorp Nomad, Docker. Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security; Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Customer interaction experience. Bonus: Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch); Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do You will have opportunities to contribute to exciting projects and grow your career in a supportive environment: (60%) Support the development and testing of features, fixes and general improvements to the core Quaisr product. Investigate and address production issues (20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery. (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars. What we offer Salary range of £45,000 to £55,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our hiring process (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you. (90 mins) Technical call with two Quaisr team members. We'll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think! (60 mins) Online coding exercise (with a Quaisr team member on the call) covering basic software development concepts. (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV (max 2 pages) to . Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.
30/05/2026
Full time
Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are an early-career software developer or recent graduate with a keen interest in generating real-world impact with industrial applications. Must have: A recent degree in a STEM field (e.g., engineering, physics, mathematics, computer science). Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes. Strong communication skills. Programming experience with any of C#, Rust, or other typed languages; Interest in cloud technologies: e.g. AWS or Azure. Eligibility to work in the UK. Nice to have: Understanding of software engineering best practices. Some exposure to applied experience, e.g., internships, research projects, or personal projects. Familiarity with DevOps tools like Kubernetes, HashiCorp Nomad, Docker. Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security; Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Customer interaction experience. Bonus: Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch); Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do You will have opportunities to contribute to exciting projects and grow your career in a supportive environment: (60%) Support the development and testing of features, fixes and general improvements to the core Quaisr product. Investigate and address production issues (20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery. (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars. What we offer Salary range of £45,000 to £55,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our hiring process (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you. (90 mins) Technical call with two Quaisr team members. We'll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think! (60 mins) Online coding exercise (with a Quaisr team member on the call) covering basic software development concepts. (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV (max 2 pages) to . Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Our products are different by design: through magically simple products and actionable insights, we put our customers in control of their finance. Our range of borrowing products serve the important needs of our customers and are critical to Monzo's mission. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective credit risk and machine learning expertise. Our product portfolios are still expanding fast, from personal to business credit, and to markets beyond the UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role: The mission of Borrowing Machine Learning Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be taking a hands on technical leadership role, managing a small team of Senior ML Scientists. With in-depth knowledge and experience in the credit industry, you'll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products. You'll have a close relationship with leaders across Credit Strategy, Products, Model Validation and Engineers, with whom you will drive and influence strategic decisions and product roadmaps. You'll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry. With excellent technical skills, you'll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team to / build better models easier and faster. You'll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio. You'll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You thrive in a fast-paced environment and comfortable with frequent context switching You enjoy both the strategic thinking and influence, as well as hands on solving technical problems You want to build trust and influence a diverse range of leaders and stakeholders You like inspiring people around you, with innovative thinking and high standard execution You must have: Excellent technical skills in Python, SQL, and statistics Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations Hands on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis Successful track record of managing complex projects, with cross functional teams and senior stakeholders Experience of mentoring and coaching senior ICs Previous experience of managing data and model governance in a regulated business The Interview Process All interviews will be conducted through Google Meet. What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travel to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work from home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Keeping your data safe is really important to us. Please take a look at our Candidate Data Privacy Notice (linked below) and confirm that you have.
30/05/2026
Full time
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Our products are different by design: through magically simple products and actionable insights, we put our customers in control of their finance. Our range of borrowing products serve the important needs of our customers and are critical to Monzo's mission. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective credit risk and machine learning expertise. Our product portfolios are still expanding fast, from personal to business credit, and to markets beyond the UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role: The mission of Borrowing Machine Learning Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be taking a hands on technical leadership role, managing a small team of Senior ML Scientists. With in-depth knowledge and experience in the credit industry, you'll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products. You'll have a close relationship with leaders across Credit Strategy, Products, Model Validation and Engineers, with whom you will drive and influence strategic decisions and product roadmaps. You'll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry. With excellent technical skills, you'll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team to / build better models easier and faster. You'll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio. You'll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You thrive in a fast-paced environment and comfortable with frequent context switching You enjoy both the strategic thinking and influence, as well as hands on solving technical problems You want to build trust and influence a diverse range of leaders and stakeholders You like inspiring people around you, with innovative thinking and high standard execution You must have: Excellent technical skills in Python, SQL, and statistics Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations Hands on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis Successful track record of managing complex projects, with cross functional teams and senior stakeholders Experience of mentoring and coaching senior ICs Previous experience of managing data and model governance in a regulated business The Interview Process All interviews will be conducted through Google Meet. What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travel to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work from home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Keeping your data safe is really important to us. Please take a look at our Candidate Data Privacy Notice (linked below) and confirm that you have.
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
30/05/2026
Full time
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team At Preply, we're growing a talented data team to empower top notch decision making across our organization. Our team collaborates closely with various other chapters - including product, business, and platform - leveraging analysis, experimentation, causal inference, and machine learning. You'll be embedded in cross functional teams, partnering with our MarTech Product Manager, Marketeers, Tech Leads, and the Data Strategy team. Check out our Tech Radar to see the tools and technologies we love using at Preply! What you'll be doing Collaborate with performance marketing teams in coming up with data solutions to support the optimization of marketing campaigns, budgets and results Use recommendation systems and clustering to uncover the most effective combinations of search terms, keywords, ad copies, and landing pages that maximize effectiveness of our paid search channel Scale new channels and improve targeting and bidding strategies by using regression models to assign predictive weights to funnel events Lead the rollout of LTV models and use early insights to guide marketing investments, product decisions, and uncover high leverage opportunities across the business - including CRM, Customer Support, Refer a Friend, and more - while proactively sharing learnings to inform cross functional strategy and prioritization Design and analyze A/B tests to measure marketing effectiveness, applying advanced methods like causal inference to quantify incremental ROI Work closely with the Data Engineering team in the creation of scalable data pipelines while guaranteeing an optimal evolution of our ETL processes, as well on the adoption of new tools and frameworks Contribute to cross company initiatives in alignment with our data organization's vision Support proactively the application of predictive models in performance marketing channels What you need to succeed Extensive experience as a Data Scientist working with performance marketing teams in a B2C environment, delivering business insights and building data products Knowledge of bidding, incrementality, and attribution Skilled in developing and deploying machine learning models Experience with experimentation (design and evaluation of A/B tests) Experience working in Marketplaces and/or digital businesses environments, in the context of performance marketing Strong coding skills in SQL and Python Creative mindset and proactive attitude towards the creation and evaluation of new solutions Strong curiosity, problem solving and problem finding skills Advanced written and verbal communication skills in English Nice to have Previous experience with causal inference techniques (e.g. geo lift testing, causal impact, synthetic control, difference in differences, etc.) Previous experience with Databricks, Snowflake, Looker Previous experience with Apache Spark Knowledge of data orchestration tools (e.g. dbt and Airflow) Why you'll love it at Preply An open, collaborative, dynamic and diverse culture A generous monthly allowance for lessons on Learning & Development budget and time off for your self development A competitive financial package with equity, leave allowance and health insurance Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms Access to Gympass partnered wellness and gym centers throughout Spain to promote and support well being and physical health The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
30/05/2026
Full time
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team At Preply, we're growing a talented data team to empower top notch decision making across our organization. Our team collaborates closely with various other chapters - including product, business, and platform - leveraging analysis, experimentation, causal inference, and machine learning. You'll be embedded in cross functional teams, partnering with our MarTech Product Manager, Marketeers, Tech Leads, and the Data Strategy team. Check out our Tech Radar to see the tools and technologies we love using at Preply! What you'll be doing Collaborate with performance marketing teams in coming up with data solutions to support the optimization of marketing campaigns, budgets and results Use recommendation systems and clustering to uncover the most effective combinations of search terms, keywords, ad copies, and landing pages that maximize effectiveness of our paid search channel Scale new channels and improve targeting and bidding strategies by using regression models to assign predictive weights to funnel events Lead the rollout of LTV models and use early insights to guide marketing investments, product decisions, and uncover high leverage opportunities across the business - including CRM, Customer Support, Refer a Friend, and more - while proactively sharing learnings to inform cross functional strategy and prioritization Design and analyze A/B tests to measure marketing effectiveness, applying advanced methods like causal inference to quantify incremental ROI Work closely with the Data Engineering team in the creation of scalable data pipelines while guaranteeing an optimal evolution of our ETL processes, as well on the adoption of new tools and frameworks Contribute to cross company initiatives in alignment with our data organization's vision Support proactively the application of predictive models in performance marketing channels What you need to succeed Extensive experience as a Data Scientist working with performance marketing teams in a B2C environment, delivering business insights and building data products Knowledge of bidding, incrementality, and attribution Skilled in developing and deploying machine learning models Experience with experimentation (design and evaluation of A/B tests) Experience working in Marketplaces and/or digital businesses environments, in the context of performance marketing Strong coding skills in SQL and Python Creative mindset and proactive attitude towards the creation and evaluation of new solutions Strong curiosity, problem solving and problem finding skills Advanced written and verbal communication skills in English Nice to have Previous experience with causal inference techniques (e.g. geo lift testing, causal impact, synthetic control, difference in differences, etc.) Previous experience with Databricks, Snowflake, Looker Previous experience with Apache Spark Knowledge of data orchestration tools (e.g. dbt and Airflow) Why you'll love it at Preply An open, collaborative, dynamic and diverse culture A generous monthly allowance for lessons on Learning & Development budget and time off for your self development A competitive financial package with equity, leave allowance and health insurance Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms Access to Gympass partnered wellness and gym centers throughout Spain to promote and support well being and physical health The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
We exist to make migration easy. Every year, millions of people move to a new country and find themselves cut off from essential financial services. We built our own technology to change that, insuring millions of drivers and lending millions in loans. But we're not standing still. Our ambitions are huge, and we need exceptional people to supercharge our growth and shape what comes next. Marshmallow is a place for do-ers. People who are tenacious, hungry for ownership, and unfazed by complexity. But collective success always comes first - people here win and grow together. Pricing at Marshmallow Pricing at Marshmallow is where the mission gets real - delivering unbeatable prices that make migration easy. You'll work with vast, proprietary data, cutting-edge models, and engineers who can implement your ideas fast. Ownership isn't a buzzword here - you'll have the autonomy to make decisions and the senior backing to act on them. This is a team that moves fast, challenges assumptions, and delivers change at high frequency. What you'll be doing Develop a deep understanding of Marshmallow's quote, policy, and claims data to derive insights that enhance pricing strategies. Contribute to key pricing initiatives, including expansion plans and customer retention efforts. Communicate analytical findings effectively to senior leaders and cross-functional teams. Conduct data analysis using SQL and Python to drive decision-making. Support the deployment of models in APIs for real-time pricing applications. Collaborate with pricing team members to recommend changes and track their impact. Assess new external data sources to refine claims risk evaluation and quantify their value. Monitoring the performance of our business and contributing to our governance and control processes such as reviewing business mix and segmental loss ratio performance. Work closely with Engineering and ML Engineering teams to implement pricing strategies. Who are you? Proactive: You want to drive growth by identifying new opportunities and take ownership to drive change Technical: You aren't afraid to learn new skills across Data Science & Insurance Commercial: You want to deliver real world impact, not report on it Curious: You aren't satisfied with 'That's just how it is'; you immediately investigate further Opinionated: You generate your own opinions & pitch to others in an open & honest way Explainer: You can communicate complicated concepts in a simple way to non-experts What skills are we looking for from you? Ability to interrogate data and conduct pricing analysis within SQL & Python Ability to build GLMs, GBMs and other models within Python Prior experience in a data science role or STEM degree Our Process We break it up into 3 stages: Initial screening call with a member of the TA team (30 mins) Past experience interview with our VP Insurance(60 minutes) A technical interview (90 mins) A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins) Perks of the job Hybrid working - Spend 2-3 days with the team in our collaborative London office, and own your own working hours. The rest is up to you. Competitive bonus scheme - designed to reward and recognise high performance. Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that's subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goes. Mental wellbeing support - Access therapy and mental health sessions through Oliva. Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset. Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches. Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less. Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month! Background checks As part of our commitment to maintaining a safe and trustworthy environment, we'll carry out standard background checks, including a DBS and Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this! Everyone belongs at Marshmallow At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.
30/05/2026
Full time
We exist to make migration easy. Every year, millions of people move to a new country and find themselves cut off from essential financial services. We built our own technology to change that, insuring millions of drivers and lending millions in loans. But we're not standing still. Our ambitions are huge, and we need exceptional people to supercharge our growth and shape what comes next. Marshmallow is a place for do-ers. People who are tenacious, hungry for ownership, and unfazed by complexity. But collective success always comes first - people here win and grow together. Pricing at Marshmallow Pricing at Marshmallow is where the mission gets real - delivering unbeatable prices that make migration easy. You'll work with vast, proprietary data, cutting-edge models, and engineers who can implement your ideas fast. Ownership isn't a buzzword here - you'll have the autonomy to make decisions and the senior backing to act on them. This is a team that moves fast, challenges assumptions, and delivers change at high frequency. What you'll be doing Develop a deep understanding of Marshmallow's quote, policy, and claims data to derive insights that enhance pricing strategies. Contribute to key pricing initiatives, including expansion plans and customer retention efforts. Communicate analytical findings effectively to senior leaders and cross-functional teams. Conduct data analysis using SQL and Python to drive decision-making. Support the deployment of models in APIs for real-time pricing applications. Collaborate with pricing team members to recommend changes and track their impact. Assess new external data sources to refine claims risk evaluation and quantify their value. Monitoring the performance of our business and contributing to our governance and control processes such as reviewing business mix and segmental loss ratio performance. Work closely with Engineering and ML Engineering teams to implement pricing strategies. Who are you? Proactive: You want to drive growth by identifying new opportunities and take ownership to drive change Technical: You aren't afraid to learn new skills across Data Science & Insurance Commercial: You want to deliver real world impact, not report on it Curious: You aren't satisfied with 'That's just how it is'; you immediately investigate further Opinionated: You generate your own opinions & pitch to others in an open & honest way Explainer: You can communicate complicated concepts in a simple way to non-experts What skills are we looking for from you? Ability to interrogate data and conduct pricing analysis within SQL & Python Ability to build GLMs, GBMs and other models within Python Prior experience in a data science role or STEM degree Our Process We break it up into 3 stages: Initial screening call with a member of the TA team (30 mins) Past experience interview with our VP Insurance(60 minutes) A technical interview (90 mins) A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins) Perks of the job Hybrid working - Spend 2-3 days with the team in our collaborative London office, and own your own working hours. The rest is up to you. Competitive bonus scheme - designed to reward and recognise high performance. Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that's subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goes. Mental wellbeing support - Access therapy and mental health sessions through Oliva. Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset. Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches. Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less. Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month! Background checks As part of our commitment to maintaining a safe and trustworthy environment, we'll carry out standard background checks, including a DBS and Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this! Everyone belongs at Marshmallow At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.
Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
30/05/2026
Full time
Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
Senior Data Scientist / Engineer - Commercial Optimisation Location: London hub. Responsibilities Utilize advanced data analytics and machine learning techniques to identify high value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client engagement and conversion rates, optimizing prospecting strategies. Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies. Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models. Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts. Develop and maintain Python/SQL based automated workflows for efficient data preparation, modelling and execution of marketing/prospecting strategies. Present data driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives. Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback. Qualifications Proven experience in data science with a focus on targeted marketing, lead generation and new business development. Expertise in Python and SQL, with experience in data preparation, cleaning and modelling. Experience building and deploying machine learning models, especially related to customer behaviour, segmentation and propensity analysis. Excellent analytical and problem solving abilities, with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability to operate in a fast paced environment and manage multiple projects with varying deadlines. Bachelor's or master's degree in Statistics, Mathematics, Computer Science, Finance or a related field. Desirable (not required): Experience working in a Snowflake platform environment. Experience with APIs. Experience integrating data solutions with Salesforce CRM. Benefits Competitive salary and benefits. Time allocated to support charities and give back to the community. Parental leave policy. Global recognition platform. Access to Virgin Pulse. Global employee assistance program.
30/05/2026
Full time
Senior Data Scientist / Engineer - Commercial Optimisation Location: London hub. Responsibilities Utilize advanced data analytics and machine learning techniques to identify high value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client engagement and conversion rates, optimizing prospecting strategies. Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies. Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models. Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts. Develop and maintain Python/SQL based automated workflows for efficient data preparation, modelling and execution of marketing/prospecting strategies. Present data driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives. Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback. Qualifications Proven experience in data science with a focus on targeted marketing, lead generation and new business development. Expertise in Python and SQL, with experience in data preparation, cleaning and modelling. Experience building and deploying machine learning models, especially related to customer behaviour, segmentation and propensity analysis. Excellent analytical and problem solving abilities, with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability to operate in a fast paced environment and manage multiple projects with varying deadlines. Bachelor's or master's degree in Statistics, Mathematics, Computer Science, Finance or a related field. Desirable (not required): Experience working in a Snowflake platform environment. Experience with APIs. Experience integrating data solutions with Salesforce CRM. Benefits Competitive salary and benefits. Time allocated to support charities and give back to the community. Parental leave policy. Global recognition platform. Access to Virgin Pulse. Global employee assistance program.
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. Location Any cities with Axon Engineering Hub in US, Vietnam, EU. EU locations include Tampere, Finland; London, UK; Brussels, Belgium. Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges. Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match. Discretionary paid time off. Paid parental leave for all. Medical, Dental, Vision plans. Fitness Programs. Emotional & Mental Wellness support. Learning & Development programs.Snacks in our offices. Location Details This role is based out of our London, UK office and follows a hybrid schedule. We rely on in person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in office culture is designed to support meaningful teamwork and mentorship. Equal Opportunity Employment We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
30/05/2026
Full time
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. Location Any cities with Axon Engineering Hub in US, Vietnam, EU. EU locations include Tampere, Finland; London, UK; Brussels, Belgium. Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges. Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match. Discretionary paid time off. Paid parental leave for all. Medical, Dental, Vision plans. Fitness Programs. Emotional & Mental Wellness support. Learning & Development programs.Snacks in our offices. Location Details This role is based out of our London, UK office and follows a hybrid schedule. We rely on in person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in office culture is designed to support meaningful teamwork and mentorship. Equal Opportunity Employment We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it's accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at and follow us on LinkedIn . Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Role: Do you like to solve advanced and complex computer science problems? Do you want to be part of a team that values user success and where you can have intellectually honest discussions? We are looking for an experienced backend engineer who is able to solve technical challenges and deliver high-quality code to join our talented, innovative Kernel team. You will be part of a brilliant, energetic, and fun team of engineers working on the development of the storage engines, transaction handling, indexes, and page cache in order to build the core of the graph database! You will be part of an international team based in Malmö, Sweden, and London. What you will do: Build and ship new features for the core of the leading graph database Write high-quality, testable, and efficient code Promote new ideas, take an active part in features discussions and roadmap prioritization Integrate research and technologies into the database core - the team regularly reads research papers to see if there are some new ideas to incorporate into the product Work closely with our customers and collaborate with other teams "Do what you want weeks" to work on your own product enhancements and integrations You'll thrive in this role if: You have experience designing multi-threaded systems and algorithms You have a deep understanding of system design, data structures, and algorithms You are proficient in Java or a C-style programming language You have strong troubleshooting skills You have knowledge about performance profiling and optimization You have experience with leading and delivering development projects You are humble. Being able to discuss ideas and, challenge each other to build better solutions together You have good communication skills and a sense of humor! You may also have experience and interest in the following: Database management systems Deep JVM experience Experience with large codebases Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact Study cited Neo4j as delivering 417% ROI to customers. Neo4j was named as a Visionary in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave : Vector Databases, Q3 2024. Research shows that members of underrepresented communities are less likely to apply for jobs when they don't meet all the qualifications. If this is part of the reason you hesitate to apply, we'd encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)- :VALUE ->(relationships) (we)- :FOCUS_ON ->(userSuccess) (we)- :THRIVE_IN ->(:Culture type: 'Open', 'Inclusive' ) (we)- :ASSUME ->(:Intent direction:'Positive' ) (we)- :WELCOME ->(:Discussions nature: 'IntellectuallyHonest' ) (we)- :DELIVER_ON ->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at .
30/05/2026
Full time
About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it's accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at and follow us on LinkedIn . Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Role: Do you like to solve advanced and complex computer science problems? Do you want to be part of a team that values user success and where you can have intellectually honest discussions? We are looking for an experienced backend engineer who is able to solve technical challenges and deliver high-quality code to join our talented, innovative Kernel team. You will be part of a brilliant, energetic, and fun team of engineers working on the development of the storage engines, transaction handling, indexes, and page cache in order to build the core of the graph database! You will be part of an international team based in Malmö, Sweden, and London. What you will do: Build and ship new features for the core of the leading graph database Write high-quality, testable, and efficient code Promote new ideas, take an active part in features discussions and roadmap prioritization Integrate research and technologies into the database core - the team regularly reads research papers to see if there are some new ideas to incorporate into the product Work closely with our customers and collaborate with other teams "Do what you want weeks" to work on your own product enhancements and integrations You'll thrive in this role if: You have experience designing multi-threaded systems and algorithms You have a deep understanding of system design, data structures, and algorithms You are proficient in Java or a C-style programming language You have strong troubleshooting skills You have knowledge about performance profiling and optimization You have experience with leading and delivering development projects You are humble. Being able to discuss ideas and, challenge each other to build better solutions together You have good communication skills and a sense of humor! You may also have experience and interest in the following: Database management systems Deep JVM experience Experience with large codebases Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact Study cited Neo4j as delivering 417% ROI to customers. Neo4j was named as a Visionary in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave : Vector Databases, Q3 2024. Research shows that members of underrepresented communities are less likely to apply for jobs when they don't meet all the qualifications. If this is part of the reason you hesitate to apply, we'd encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)- :VALUE ->(relationships) (we)- :FOCUS_ON ->(userSuccess) (we)- :THRIVE_IN ->(:Culture type: 'Open', 'Inclusive' ) (we)- :ASSUME ->(:Intent direction:'Positive' ) (we)- :WELCOME ->(:Discussions nature: 'IntellectuallyHonest' ) (we)- :DELIVER_ON ->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at .
Principal AI Engineer - AI Centre of Excellence We are expanding our global AI footprint and are looking for a passionate Principal AI Engineer to join Rapid7's AI Centre of Excellence. You should be ready to provide technical guidance and mentoring to the team while understanding the trade-offs between technical, UX, and product needs. You should excel in interacting and negotiating with key stakeholders, leading to solutions that take all of these needs into account. About the Team The AI Centre of Excellence designs, prototypes, and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. For example, we partner closely with Rapid7's Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on over 20 years of threat analysis and a growing patent portfolio. The environment is collaborative, focused on knowledge sharing and continuous learning. If you're passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity. About the Role The Principal AI Engineer is part of our AI Centre of Excellence team at the forefront of designing and delivering customer-focused AI systems. In this role, you will design and implement AI models and systems using the most appropriate techniques-conventional machine learning, deep learning neural networks, or generative and agentic AI. You will be working on a high-impact, cross-functional team, ensuring our AI solutions are scalable, secure, and deliver real customer value. Speed to market is key: you'll operate in an agile, iterative way, making fast, informed decisions about what to build, what to pause, and where to innovate further. You will have the opportunity to further enhance your skills surrounded by an incredibly talented group of engineers and data scientists, while mentoring others and driving forward Rapid7's AI innovation. In This Role, You Will: Develop and ship AI systems with a focus on delivering customer value. Tackle a diverse range of complex problems, often reframing existing solutions with new perspectives. Take ownership of multiple projects as the principal go-to expert. Act as a first-class stakeholder throughout the AI R&D process. Build strong cross-functional relationships with engineering, UX, product management, and customer research teams. Mentor colleagues with less experience, acting as a trusted technical resource. The Skills You'll Bring Include: Technical Expertise Significant hands-on experience in applied AI, able to independently design and build AI models and systems. Strong Python skills and practical expertise with: scikit-learn for conventional ML and data science. PyTorch, TensorFlow, or Keras for deep learning. AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions. CrewAI (or similar frameworks) for agentic AI projects. Pandas/NumPy for data processing and transformation. Intuition for selecting the right models and approaches for different use cases. Cybersecurity expertise is a plus, but experience from other domains (e.g., finance, healthcare, marketplaces, insurance, legal, social media) is also highly valuable. Personal Attributes Positive, can-do, solution-oriented mindset with persistence in tackling complex challenges. Bias for action and delivery, balancing speed with care. Ability to thrive in a fast-paced environment, juggling multiple projects effectively. Natural leader and collaborator, helping peers grow as problem solvers and communicators. Curiosity and passion for continuous learning and self-development. Open-minded approach, valuing feedback and new ideas from colleagues. Strong interpersonal and communication skills, with the ability to explain complex AI concepts to diverse audiences and document work clearly. About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,500+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.
30/05/2026
Full time
Principal AI Engineer - AI Centre of Excellence We are expanding our global AI footprint and are looking for a passionate Principal AI Engineer to join Rapid7's AI Centre of Excellence. You should be ready to provide technical guidance and mentoring to the team while understanding the trade-offs between technical, UX, and product needs. You should excel in interacting and negotiating with key stakeholders, leading to solutions that take all of these needs into account. About the Team The AI Centre of Excellence designs, prototypes, and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. For example, we partner closely with Rapid7's Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on over 20 years of threat analysis and a growing patent portfolio. The environment is collaborative, focused on knowledge sharing and continuous learning. If you're passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity. About the Role The Principal AI Engineer is part of our AI Centre of Excellence team at the forefront of designing and delivering customer-focused AI systems. In this role, you will design and implement AI models and systems using the most appropriate techniques-conventional machine learning, deep learning neural networks, or generative and agentic AI. You will be working on a high-impact, cross-functional team, ensuring our AI solutions are scalable, secure, and deliver real customer value. Speed to market is key: you'll operate in an agile, iterative way, making fast, informed decisions about what to build, what to pause, and where to innovate further. You will have the opportunity to further enhance your skills surrounded by an incredibly talented group of engineers and data scientists, while mentoring others and driving forward Rapid7's AI innovation. In This Role, You Will: Develop and ship AI systems with a focus on delivering customer value. Tackle a diverse range of complex problems, often reframing existing solutions with new perspectives. Take ownership of multiple projects as the principal go-to expert. Act as a first-class stakeholder throughout the AI R&D process. Build strong cross-functional relationships with engineering, UX, product management, and customer research teams. Mentor colleagues with less experience, acting as a trusted technical resource. The Skills You'll Bring Include: Technical Expertise Significant hands-on experience in applied AI, able to independently design and build AI models and systems. Strong Python skills and practical expertise with: scikit-learn for conventional ML and data science. PyTorch, TensorFlow, or Keras for deep learning. AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions. CrewAI (or similar frameworks) for agentic AI projects. Pandas/NumPy for data processing and transformation. Intuition for selecting the right models and approaches for different use cases. Cybersecurity expertise is a plus, but experience from other domains (e.g., finance, healthcare, marketplaces, insurance, legal, social media) is also highly valuable. Personal Attributes Positive, can-do, solution-oriented mindset with persistence in tackling complex challenges. Bias for action and delivery, balancing speed with care. Ability to thrive in a fast-paced environment, juggling multiple projects effectively. Natural leader and collaborator, helping peers grow as problem solvers and communicators. Curiosity and passion for continuous learning and self-development. Open-minded approach, valuing feedback and new ideas from colleagues. Strong interpersonal and communication skills, with the ability to explain complex AI concepts to diverse audiences and document work clearly. About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,500+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.
The group you'll be a part of Metior product line works on the development of advanced systems for process diagnostics and metrology of semiconductor wafers. The group falls under CSBG (Customer Support Business Group) upgrades and metrology enabling our customers with premier customer support throughout their lifecycle with Lam. Along with R&D innovation, we drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes. The impact you'll make We are seeking a seasoned and visionary data scientist to lead the design, development and implementation of advanced computer vision as well as machine learning/deep learning algorithms. Ideally a data scientist with a physics background, the candidate is expected to lead the development of Metior's equipment intelligence, AI/ML infrastructure, ensuring the creation of robust, scalable, and innovative solutions. The ideal candidate will combine deep technical expertise in data science and analytics with a strategic mindset to drive the development of cutting edge AI/ML algorithms. This position requires understanding of the productization and deployment of ML solutions. What you'll do Responsibilities Design, Development and implementation of advanced machine learning algorithms as well as physics based software solutions for our hybrid metrology systems including optical metrology solutions. Design and development of sophisticated algorithms for image segmentation and classification specific to our metrology systems. Provide strategic direction for the integration of advanced analytics, machine learning, and AI technologies. Select and evaluate data science tools, frameworks, and platforms to build a cohesive and efficient data science ecosystem. Hands On ML model development and derive the right solutions for complex problems. Rapid prototyping and validation of new machine learning as well as deep learning algorithms. Work closely with software, system engineering and data science teams to integrate algorithms into product systems as well as contributing to cross functional innovations. Work with internal and external customer and stakeholders to define the requirements for next generation ML algorithm requirements to solve challenging customer problems. Datascience related escalation management and troubleshooting potential issues from the field systems. Prepare presentations to all stakeholders and be able to host design reviews. Collaborate effectively with global development teams to ensure seamless deployment and continuous improvement. Stay abreast of emerging technologies to ensure the continuous evolution of our data science capabilities. Who we're looking for Technical Skills Extensive experience with data analytics, supervised and unsupervised machine learning including regression models, decision trees, feature engineering, frameworks like PyTorch, TensorFlow, SciKit learn etc. Familiarity with MLOps with Databricks is a strong advantage. Strong background in optical physics, numerical simulations, advanced signal processing, computer vision and spectroscopy. Experience working with and handling huge datasets from advanced sensors and imaging systems. Proficiency in programming languages (e.g., Python, R) and familiarity with data science libraries and frameworks. Familiarity with C# is an added advantage. Ability to analyze large datasets and validate models for accuracy, robustness and reliability. Experience with ML deployment and monitoring strategies to track model performance over time and address issues proactively. Ability to work cross functionally and communicate complex modelling concepts to mixed engineering audiences. Curiosity driven and a structured problem solver. Background in parallel/distributed computing, profiling and optimization for computation and memory. Experience working in the development of semiconductor capital equipment systems is preferable. Qualifications PhD or MSc in Physics, Applied Physics, Electrical Engineering, Optical Engineering or related field with strong modelling/analytical background. A minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ('Lam' or the 'Company') is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On site Flex and Virtual Flex. 'On site Flex' you'll work 3+ days per week on site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1 2 days per week on site at a Lam or customer/supplier location, and remotely the rest of the time.
30/05/2026
Full time
The group you'll be a part of Metior product line works on the development of advanced systems for process diagnostics and metrology of semiconductor wafers. The group falls under CSBG (Customer Support Business Group) upgrades and metrology enabling our customers with premier customer support throughout their lifecycle with Lam. Along with R&D innovation, we drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes. The impact you'll make We are seeking a seasoned and visionary data scientist to lead the design, development and implementation of advanced computer vision as well as machine learning/deep learning algorithms. Ideally a data scientist with a physics background, the candidate is expected to lead the development of Metior's equipment intelligence, AI/ML infrastructure, ensuring the creation of robust, scalable, and innovative solutions. The ideal candidate will combine deep technical expertise in data science and analytics with a strategic mindset to drive the development of cutting edge AI/ML algorithms. This position requires understanding of the productization and deployment of ML solutions. What you'll do Responsibilities Design, Development and implementation of advanced machine learning algorithms as well as physics based software solutions for our hybrid metrology systems including optical metrology solutions. Design and development of sophisticated algorithms for image segmentation and classification specific to our metrology systems. Provide strategic direction for the integration of advanced analytics, machine learning, and AI technologies. Select and evaluate data science tools, frameworks, and platforms to build a cohesive and efficient data science ecosystem. Hands On ML model development and derive the right solutions for complex problems. Rapid prototyping and validation of new machine learning as well as deep learning algorithms. Work closely with software, system engineering and data science teams to integrate algorithms into product systems as well as contributing to cross functional innovations. Work with internal and external customer and stakeholders to define the requirements for next generation ML algorithm requirements to solve challenging customer problems. Datascience related escalation management and troubleshooting potential issues from the field systems. Prepare presentations to all stakeholders and be able to host design reviews. Collaborate effectively with global development teams to ensure seamless deployment and continuous improvement. Stay abreast of emerging technologies to ensure the continuous evolution of our data science capabilities. Who we're looking for Technical Skills Extensive experience with data analytics, supervised and unsupervised machine learning including regression models, decision trees, feature engineering, frameworks like PyTorch, TensorFlow, SciKit learn etc. Familiarity with MLOps with Databricks is a strong advantage. Strong background in optical physics, numerical simulations, advanced signal processing, computer vision and spectroscopy. Experience working with and handling huge datasets from advanced sensors and imaging systems. Proficiency in programming languages (e.g., Python, R) and familiarity with data science libraries and frameworks. Familiarity with C# is an added advantage. Ability to analyze large datasets and validate models for accuracy, robustness and reliability. Experience with ML deployment and monitoring strategies to track model performance over time and address issues proactively. Ability to work cross functionally and communicate complex modelling concepts to mixed engineering audiences. Curiosity driven and a structured problem solver. Background in parallel/distributed computing, profiling and optimization for computation and memory. Experience working in the development of semiconductor capital equipment systems is preferable. Qualifications PhD or MSc in Physics, Applied Physics, Electrical Engineering, Optical Engineering or related field with strong modelling/analytical background. A minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ('Lam' or the 'Company') is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On site Flex and Virtual Flex. 'On site Flex' you'll work 3+ days per week on site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1 2 days per week on site at a Lam or customer/supplier location, and remotely the rest of the time.
Senior Data Science Engineer - Trading Intelligence Team At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Responsibilities Lead data science projects from conception to deployment, ensuring high quality and timely delivery. Develop and implement statistical models and machine learning algorithms to solve complex business problems. Collaborate with cross functional teams to integrate data science solutions into production systems. Mentor junior data scientists and provide guidance on best practices and methodologies. Communicate technical findings and insights to internal stakeholders to support data driven decision making. Assist with the adoption of data driven strategies into the trading processes. Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives. Qualifications Proven experience in data science, with a strong foundation in machine learning and statistical modeling. Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools. Demonstrated ability to break down complex problems into manageable tasks and deliver high quality results. Excellent problem solving skills and the ability to work collaboratively in a team environment. Experience in developing and implementing automated trading or decision making systems (highly desirable). Experience with Kubernetes and Kafka (desirable). Experience with Databricks (desirable). Experience with experimentation (desirable). A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.
30/05/2026
Full time
Senior Data Science Engineer - Trading Intelligence Team At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Responsibilities Lead data science projects from conception to deployment, ensuring high quality and timely delivery. Develop and implement statistical models and machine learning algorithms to solve complex business problems. Collaborate with cross functional teams to integrate data science solutions into production systems. Mentor junior data scientists and provide guidance on best practices and methodologies. Communicate technical findings and insights to internal stakeholders to support data driven decision making. Assist with the adoption of data driven strategies into the trading processes. Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives. Qualifications Proven experience in data science, with a strong foundation in machine learning and statistical modeling. Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools. Demonstrated ability to break down complex problems into manageable tasks and deliver high quality results. Excellent problem solving skills and the ability to work collaboratively in a team environment. Experience in developing and implementing automated trading or decision making systems (highly desirable). Experience with Kubernetes and Kafka (desirable). Experience with Databricks (desirable). Experience with experimentation (desirable). A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.
Principal Data Scientist About the Business At Cirium's goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high-impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. Our Tech Stack Big Data: Databricks, AWS, Snowflake, Azure Programming: Python, SQL, PySpark Frameworks: PyTorch, LangChain About the Role As a Principal Data Scientist, you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data-driven solutions. We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real-world problems. Responsibilities Technical Leadership Act as the go to expert for state of the art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modelling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands On Development Lead by example through hands on coding and model development. Design, prototype, and validate innovative solutions for high impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modelling approaches and deliver customer centric solutions. Stay ahead of industry trends impacting data driven products. Requirements Data Mastery Comfortable working with large, complex, real world datasets, preferably aviation related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Outstanding Depth Experience: in at least one area, with experience across several (in approximate order of relevance): predictive modelling over tabular data, Deep Learning NLP + LLMs, GenAI agent pipelines, simulations, Graph based models, Time series forecasting, Geospatial modelling, Causal inference, Reinforcement learning, optimization problems and/or anomaly detection. Deployment Experience Proven track record of deploying or partnering on customer facing production ML systems. Benefits Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
30/05/2026
Full time
Principal Data Scientist About the Business At Cirium's goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high-impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. Our Tech Stack Big Data: Databricks, AWS, Snowflake, Azure Programming: Python, SQL, PySpark Frameworks: PyTorch, LangChain About the Role As a Principal Data Scientist, you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data-driven solutions. We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real-world problems. Responsibilities Technical Leadership Act as the go to expert for state of the art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modelling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands On Development Lead by example through hands on coding and model development. Design, prototype, and validate innovative solutions for high impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modelling approaches and deliver customer centric solutions. Stay ahead of industry trends impacting data driven products. Requirements Data Mastery Comfortable working with large, complex, real world datasets, preferably aviation related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Outstanding Depth Experience: in at least one area, with experience across several (in approximate order of relevance): predictive modelling over tabular data, Deep Learning NLP + LLMs, GenAI agent pipelines, simulations, Graph based models, Time series forecasting, Geospatial modelling, Causal inference, Reinforcement learning, optimization problems and/or anomaly detection. Deployment Experience Proven track record of deploying or partnering on customer facing production ML systems. Benefits Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state of the art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see ) EU: Tampere, Finland or London, UK or Brussels, Belgium Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Fitness Programs Emotional & Mental Wellness support And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
29/05/2026
Full time
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state of the art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see ) EU: Tampere, Finland or London, UK or Brussels, Belgium Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Fitness Programs Emotional & Mental Wellness support And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
About Moneybox At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they're saving and investing, buying their first home, or planning for retirement. Job Brief We are building Aurora, an AI system designed to guide customers toward better financial outcomes. The core technical challenge is hard: given a customer with incomplete, uncertain information about their own financial situation and goals, how do you reliably converge on the right guidance - at scale, in a regulated environment, with decisions that must be auditable and traceable? This breaks into several non trivial subproblems. How do you efficiently resolve uncertainty about customer state through active information gathering, asking the right question at the right moment rather than exhausting the user? How do you translate natural language policy and regulatory constraints into formal optimisation logic that is both correct and inspectable? How do you orchestrate learned and symbolic components such that the overall system behaves reliably, degrades gracefully, and can be reasoned about by humans? How do you do all of that without paying the engineering overhead on the expert parts of the system? We have working hypotheses and committed architectural directions on all of these. We also change our minds quickly when presented with strong arguments or new evidence. If you think we're wrong about something, we want to know. We host most of our models internally. We develop using and we deploy through Databricks, or directly on Azure Kubernetes Service (AKS). This is the foremost research position in the ML team. You will report directly to the Director of AI and Decision Intelligence and work alongside a principal data scientist, senior ML engineer, senior data scientist, and two ML engineers. What you'll do You will work with other ML researchers, data scientists and ML engineers to: Propose and prototype architectures that address our core problem set, with clear eyed assessments of engineering complexity and scalability tradeoffs Code proofs of concept to validate hypotheses and test the limits of theoretical approaches, grounded in empirical reality rather than theory alone Serve as the team's research lead - setting the intellectual agenda, running literature reviews, and keeping the team calibrated to what is actually state of the art versus what is hype Challenge existing architectural decisions, including ones we are currently confident about Input information to the Director of AI and Decision Intelligence and the wider AI team for decisions on objective functions, data strategy, and content strategy to ensure long term coherence between research direction and overall system goals Collaborate with academic partners where relevant and possible, with scope to contribute to publishable work emerging from applied research Who you are You think in systems - you can hold the interaction between components in your head, reason about failure modes, and identify where theoretical elegance will break against production constraints You have an optimisation mindset, not just in the technical sense but in how you approach problems generally - you look for the lever, not the brute force solution You are comfortable with high autonomy and wide scope in a fast paced environment You deliver great results while managing your own pace sustainably You read the literature seriously, have opinions about it, are willing to defend them, and willing to update them You are not scared of ambiguity and thrive more when the problem is harder than when the solution space is clear Experience and skills - essential 3+ years in an ML research or engineering role with meaningful exposure to text generation, agentic systems, or symbolic reasoning (one of is fine) - or equivalent academic experience with real applied components Demonstrated ability to prototype rapidly and evaluate results honestly Knowledge of applied machine learning, model tuning and model evaluation Knowledge of the latest approaches in generative AI, including SoTA models Familiarity with open source LLM ecosystems and cloud infrastructure sufficient to bootstrap independently Experience and skills - not essential for the role, but will be counted as a plus Experience combining deep learning with formal or symbolic systems - this is the closest to what we are building and the strongest signal we can receive from a candidate Familiarity with probabilistic graphical models or decision theoretic frameworks Experience in regulated or high stakes deployment environments Working in a scaled B2C environment Experience deploying using any of: Databricks, Azure or MLflow Research and building of foundational ML models, regardless of domain A genuine interest in AI safety and the ability to reason carefully about systemic risk What's in it for you? Opportunity to join a fast growing, award winning and super ambitious company Work with a friendly team of highly motivated individuals Be in an environment where you are listened to and can actually have an impact Thriving collaborative and inclusive company culture Company bonus scheme Company pension scheme Home office furniture allowance Personal Annual Learning and Development budget Private Medical Insurance Health Cash Plan (cashback on visits to the dentist & opticians etc) Cycle to work scheme Gympass subscription to a variety of gyms and wellbeing apps Enhanced parental pay & leave Hybrid working environment (2 days in our London office) 25 days holiday + bank holidays with additional days added with length of service. Our office is in London, by the Oxo Tower Our Commitment to DE&I At Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. We are open minded and always willing to go the extra mile to ensure all applicants can present their full self and potential Working Policy We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK. Visa Sponsorship At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications. Please read before you apply! Please note if offered a position, the offer is conditional and subject to the receipt of satisfactory pre employment checks which we will conduct such as criminal record and adverse credit history checks. As a regulated financial business, an adverse financial history could impact your suitability for the role. If you are aware of anything that could affect your suitability for the role, please let us know in advance. By sending us your application you acknowledge and agree to Moneybox using your personal data as described below. We collect applicants' personal data to manage our recruitment related activities. Consequently, we may use your personal data to evaluate your application, to select and shortlist applicants, to set up and conduct interviews and tests, to evaluate and assess the results, and as is otherwise needed in the recruitment process generally.We do not share your personal data with unauthorised third parties. However, we may, if necessary, share your personal data to carefully selected third parties acting on our behalf. This may include transfers to servers and databases outside the country where you provided us with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are unsuccessful in your application, we may keep your details on file so that we can tell you about other suitable vacancies which may be of interest to you when they arise in the future. If you would like to reach us then please email: If you would rather we did not keep your details on file, you can contact us at:
29/05/2026
Full time
About Moneybox At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they're saving and investing, buying their first home, or planning for retirement. Job Brief We are building Aurora, an AI system designed to guide customers toward better financial outcomes. The core technical challenge is hard: given a customer with incomplete, uncertain information about their own financial situation and goals, how do you reliably converge on the right guidance - at scale, in a regulated environment, with decisions that must be auditable and traceable? This breaks into several non trivial subproblems. How do you efficiently resolve uncertainty about customer state through active information gathering, asking the right question at the right moment rather than exhausting the user? How do you translate natural language policy and regulatory constraints into formal optimisation logic that is both correct and inspectable? How do you orchestrate learned and symbolic components such that the overall system behaves reliably, degrades gracefully, and can be reasoned about by humans? How do you do all of that without paying the engineering overhead on the expert parts of the system? We have working hypotheses and committed architectural directions on all of these. We also change our minds quickly when presented with strong arguments or new evidence. If you think we're wrong about something, we want to know. We host most of our models internally. We develop using and we deploy through Databricks, or directly on Azure Kubernetes Service (AKS). This is the foremost research position in the ML team. You will report directly to the Director of AI and Decision Intelligence and work alongside a principal data scientist, senior ML engineer, senior data scientist, and two ML engineers. What you'll do You will work with other ML researchers, data scientists and ML engineers to: Propose and prototype architectures that address our core problem set, with clear eyed assessments of engineering complexity and scalability tradeoffs Code proofs of concept to validate hypotheses and test the limits of theoretical approaches, grounded in empirical reality rather than theory alone Serve as the team's research lead - setting the intellectual agenda, running literature reviews, and keeping the team calibrated to what is actually state of the art versus what is hype Challenge existing architectural decisions, including ones we are currently confident about Input information to the Director of AI and Decision Intelligence and the wider AI team for decisions on objective functions, data strategy, and content strategy to ensure long term coherence between research direction and overall system goals Collaborate with academic partners where relevant and possible, with scope to contribute to publishable work emerging from applied research Who you are You think in systems - you can hold the interaction between components in your head, reason about failure modes, and identify where theoretical elegance will break against production constraints You have an optimisation mindset, not just in the technical sense but in how you approach problems generally - you look for the lever, not the brute force solution You are comfortable with high autonomy and wide scope in a fast paced environment You deliver great results while managing your own pace sustainably You read the literature seriously, have opinions about it, are willing to defend them, and willing to update them You are not scared of ambiguity and thrive more when the problem is harder than when the solution space is clear Experience and skills - essential 3+ years in an ML research or engineering role with meaningful exposure to text generation, agentic systems, or symbolic reasoning (one of is fine) - or equivalent academic experience with real applied components Demonstrated ability to prototype rapidly and evaluate results honestly Knowledge of applied machine learning, model tuning and model evaluation Knowledge of the latest approaches in generative AI, including SoTA models Familiarity with open source LLM ecosystems and cloud infrastructure sufficient to bootstrap independently Experience and skills - not essential for the role, but will be counted as a plus Experience combining deep learning with formal or symbolic systems - this is the closest to what we are building and the strongest signal we can receive from a candidate Familiarity with probabilistic graphical models or decision theoretic frameworks Experience in regulated or high stakes deployment environments Working in a scaled B2C environment Experience deploying using any of: Databricks, Azure or MLflow Research and building of foundational ML models, regardless of domain A genuine interest in AI safety and the ability to reason carefully about systemic risk What's in it for you? Opportunity to join a fast growing, award winning and super ambitious company Work with a friendly team of highly motivated individuals Be in an environment where you are listened to and can actually have an impact Thriving collaborative and inclusive company culture Company bonus scheme Company pension scheme Home office furniture allowance Personal Annual Learning and Development budget Private Medical Insurance Health Cash Plan (cashback on visits to the dentist & opticians etc) Cycle to work scheme Gympass subscription to a variety of gyms and wellbeing apps Enhanced parental pay & leave Hybrid working environment (2 days in our London office) 25 days holiday + bank holidays with additional days added with length of service. Our office is in London, by the Oxo Tower Our Commitment to DE&I At Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. We are open minded and always willing to go the extra mile to ensure all applicants can present their full self and potential Working Policy We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK. Visa Sponsorship At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications. Please read before you apply! Please note if offered a position, the offer is conditional and subject to the receipt of satisfactory pre employment checks which we will conduct such as criminal record and adverse credit history checks. As a regulated financial business, an adverse financial history could impact your suitability for the role. If you are aware of anything that could affect your suitability for the role, please let us know in advance. By sending us your application you acknowledge and agree to Moneybox using your personal data as described below. We collect applicants' personal data to manage our recruitment related activities. Consequently, we may use your personal data to evaluate your application, to select and shortlist applicants, to set up and conduct interviews and tests, to evaluate and assess the results, and as is otherwise needed in the recruitment process generally.We do not share your personal data with unauthorised third parties. However, we may, if necessary, share your personal data to carefully selected third parties acting on our behalf. This may include transfers to servers and databases outside the country where you provided us with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are unsuccessful in your application, we may keep your details on file so that we can tell you about other suitable vacancies which may be of interest to you when they arise in the future. If you would like to reach us then please email: If you would rather we did not keep your details on file, you can contact us at:
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Tuesday 9 December 2025 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. At Roke Roke imagines a more secure world where technology protects, where engineers, consultants and business staff collaborate to protect what matters most to our clients. Roke is a leader in the development of cutting edge technology solutions for the defence industry with clients spanning National Security, Defence and Intelligence areas. We work alongside our customers to solve their complex and unique challenges. Roke's Defence Business Unit provides technology innovation and consultancy to a variety of military users, applying our skills in Cyber & Networks, Agile Software, Consulting & Systems Engineering, Sensors & Communications, AI & Machine Learning, Information Assurance & Human Science and Data Science. The Job Opportunity Roke is seeking Senior Systems Engineers to provide technical leadership in the design and delivery of innovative and effective solutions, in the domains of Position, Navigation and Timing (PNT), RF communication and sensors. You will take ownership of the system designs of cutting edge electronics for defence and robust position, navigation and timing (RPNT) systems. Specific technology domains in which you will take the lead as SDA will likely include communication systems, radar systems, ground search systems, GNSS anti jam and anti spoof technologies such as array based directional antenna systems and extended long range navigation (eLORAN) systems. The role requires individuals who can work closely with our defence clients and users, applying their technical knowledge and domain experience, whilst communicating effectively with a wide range of internal and external stakeholders. Individuals must be able to work effectively in a highly technically challenging but rewarding environment, able to quickly assess trade offs and lead on technical decision making. Job Purpose & Key Responsibilities As a System Engineer your responsibilities will include: Gaining understanding of existing Roke EW system products and future development agendas particularly in the domains of GNSS, eLoran and alternative navigation. Acting as a System Design Authority on specific projects across the full engineering lifecycle from initial R&D concept to product and support. Providing leadership and systems engineering expertise to technical teams in the delivery of science and technology based research, solution and product development, equipment trials, and business development including competitive bids. Strengthening customer relationships and developing business opportunities by providing expert technical assistance in the shaping of solutions and their delivery programmes. Providing technical assurance expertise across a broad range of internal projects, and on behalf of clients when required. Liaising regularly with project management teams and customers for progress reviews, ensuring technical delivery to time, cost and performance/quality whilst managing technical risks. Working dynamically on customer sites, from the office, in shared workspaces or from home as required, with occasional overseas travel where necessary. Rapid prototyping for UOR requirements Essential skills will include BEng/BSc and/or master's degree in an appropriate engineering, computer science, information systems or related subject. Knowledge of Sensor and Communication systems. Systems Engineering and technical leadership cross functional teams from R&D concept through to the full product development lifecycle Ideally you will have experience in some of the following Knowledge of Position, Navigation and Timing (PNT) - covering any type of system for example Resilient or Alternative PNT. EW familiarity across EA, ES, ECM, ESM, RF cyber, middleware and radio bearers. Defence frameworks and standards such as PNT OS, MOSA, ASPN. A systems understanding of hardware, firmware and software including digital signal processing systems/DSPs/FPGAs, software defined radios, RF systems and antennas. Waterfall, Agile, SAFe and Spiral development processes. Identification and analysis of key risks, issues and problems and their associated mitigations and impact and their management through technical RAIDOs. Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection and Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies and techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, the candidate should be a British Citizen and have resided in the UK for the last 5 years for SC. The Next Step Click apply, submitting an up to date CV. We look forward to hearing from you. Roke, Roke Manor, Romsey, Hampshire, United Kingdom
29/05/2026
Full time
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Tuesday 9 December 2025 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. At Roke Roke imagines a more secure world where technology protects, where engineers, consultants and business staff collaborate to protect what matters most to our clients. Roke is a leader in the development of cutting edge technology solutions for the defence industry with clients spanning National Security, Defence and Intelligence areas. We work alongside our customers to solve their complex and unique challenges. Roke's Defence Business Unit provides technology innovation and consultancy to a variety of military users, applying our skills in Cyber & Networks, Agile Software, Consulting & Systems Engineering, Sensors & Communications, AI & Machine Learning, Information Assurance & Human Science and Data Science. The Job Opportunity Roke is seeking Senior Systems Engineers to provide technical leadership in the design and delivery of innovative and effective solutions, in the domains of Position, Navigation and Timing (PNT), RF communication and sensors. You will take ownership of the system designs of cutting edge electronics for defence and robust position, navigation and timing (RPNT) systems. Specific technology domains in which you will take the lead as SDA will likely include communication systems, radar systems, ground search systems, GNSS anti jam and anti spoof technologies such as array based directional antenna systems and extended long range navigation (eLORAN) systems. The role requires individuals who can work closely with our defence clients and users, applying their technical knowledge and domain experience, whilst communicating effectively with a wide range of internal and external stakeholders. Individuals must be able to work effectively in a highly technically challenging but rewarding environment, able to quickly assess trade offs and lead on technical decision making. Job Purpose & Key Responsibilities As a System Engineer your responsibilities will include: Gaining understanding of existing Roke EW system products and future development agendas particularly in the domains of GNSS, eLoran and alternative navigation. Acting as a System Design Authority on specific projects across the full engineering lifecycle from initial R&D concept to product and support. Providing leadership and systems engineering expertise to technical teams in the delivery of science and technology based research, solution and product development, equipment trials, and business development including competitive bids. Strengthening customer relationships and developing business opportunities by providing expert technical assistance in the shaping of solutions and their delivery programmes. Providing technical assurance expertise across a broad range of internal projects, and on behalf of clients when required. Liaising regularly with project management teams and customers for progress reviews, ensuring technical delivery to time, cost and performance/quality whilst managing technical risks. Working dynamically on customer sites, from the office, in shared workspaces or from home as required, with occasional overseas travel where necessary. Rapid prototyping for UOR requirements Essential skills will include BEng/BSc and/or master's degree in an appropriate engineering, computer science, information systems or related subject. Knowledge of Sensor and Communication systems. Systems Engineering and technical leadership cross functional teams from R&D concept through to the full product development lifecycle Ideally you will have experience in some of the following Knowledge of Position, Navigation and Timing (PNT) - covering any type of system for example Resilient or Alternative PNT. EW familiarity across EA, ES, ECM, ESM, RF cyber, middleware and radio bearers. Defence frameworks and standards such as PNT OS, MOSA, ASPN. A systems understanding of hardware, firmware and software including digital signal processing systems/DSPs/FPGAs, software defined radios, RF systems and antennas. Waterfall, Agile, SAFe and Spiral development processes. Identification and analysis of key risks, issues and problems and their associated mitigations and impact and their management through technical RAIDOs. Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection and Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies and techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, the candidate should be a British Citizen and have resided in the UK for the last 5 years for SC. The Next Step Click apply, submitting an up to date CV. We look forward to hearing from you. Roke, Roke Manor, Romsey, Hampshire, United Kingdom
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Tuesday 6 January 2026 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. About Roke Roke imagines a more secure world where technology protects, where engineers, consultants and business staff collaborate to protect what matters most to our clients. Roke is a leader in the development of cutting edge technology solutions for the defence industry with clients spanning National Security, Defence and Intelligence areas. We work alongside our customers to solve their complex and unique challenges. We are a friendly and flexible team with a culture of 'time, trust and freedom'. We pride ourselves on listening to each other's aspirations and accommodating wherever possible. The Opportunity Roke is seeking an Embedded Software Engineer to design and implement efficient real time system software for a variety of developments in the domains of Position, Navigation and Timing (PNT), RF communication and sensors. This senior engineering role combines hands on detailed design with technical team leadership. You will contribute innovation to and take ownership of software in the platforms for cutting edge electronics for defence and robust position, navigation and timing (RPNT) systems. You will use your design and simulation skills in projects from prototypes for urgent requirements at low TRL to development of new Roke EW products. Specific technology domains will include communication systems, radar systems, ground search systems, GNSS anti jam and anti spoof technologies such as array based directional antenna systems and extended long range navigation (eLORAN) systems. You will join stimulating, collaborative and driven teams that offer you autonomy, challenge, and strong sense of purpose. In addition to your technical responsibilities there will be opportunities for leadership within the teams and in client engagements, in the initial discussions of requirements through technology demonstrations to customer acceptance test, delivery and support. The role may give the opportunity to work on client site, from the office, in shared workspaces or from home as necessary. Job Purpose & Key Responsibilities As an embedded software engineer your responsibilities could include: Capture of embedded software requirements, software design and test/verification processes for efficient real time systems from R&D concept through to the full product development lifecycle The implementation of bespoke data processing and control schemes. Understanding and applying new and emerging technologies inclusive of RPNT Digital Signal Processing algorithm techniques Rapid prototyping for UOR requirements Essential skills will include BEng/BSc or Master's degree in an appropriate engineering or computer science related subject. Strong skill set in C and/or C++ for embedded development and associated operating systems Collaboration with cross functional teams to deliver project requirements, system design, and system test/integration phases and experience of modern DevOps practices Knowledge of latest System on Chip (SoC) devices, Software Defined Radio (SDR) platforms and open source frameworks such as OpenCPI. Good understanding of Digital Signal Processing (DSP) algorithms and experience of modelling or simulation algorithms using MATLAB or Python. Ideally you will have experience in some of the following: Awareness of security aspects related to embedded systems. Practical electronics design experience in hardware and associated FPGA firmware development. Knowledge of defence domains, such as Position, Navigation and Timing (PNT), Electronic Warfare, Sensor and Communication systems. Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection & Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies & techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, you should be a British Citizen and have resided in the UK for the last 5 years for SC. The Next Step Click apply, submitting an up to date CV. We look forward to hearing from you. Roke, Roke Manor, Romsey, Hampshire, United Kingdom
29/05/2026
Full time
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Tuesday 6 January 2026 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. About Roke Roke imagines a more secure world where technology protects, where engineers, consultants and business staff collaborate to protect what matters most to our clients. Roke is a leader in the development of cutting edge technology solutions for the defence industry with clients spanning National Security, Defence and Intelligence areas. We work alongside our customers to solve their complex and unique challenges. We are a friendly and flexible team with a culture of 'time, trust and freedom'. We pride ourselves on listening to each other's aspirations and accommodating wherever possible. The Opportunity Roke is seeking an Embedded Software Engineer to design and implement efficient real time system software for a variety of developments in the domains of Position, Navigation and Timing (PNT), RF communication and sensors. This senior engineering role combines hands on detailed design with technical team leadership. You will contribute innovation to and take ownership of software in the platforms for cutting edge electronics for defence and robust position, navigation and timing (RPNT) systems. You will use your design and simulation skills in projects from prototypes for urgent requirements at low TRL to development of new Roke EW products. Specific technology domains will include communication systems, radar systems, ground search systems, GNSS anti jam and anti spoof technologies such as array based directional antenna systems and extended long range navigation (eLORAN) systems. You will join stimulating, collaborative and driven teams that offer you autonomy, challenge, and strong sense of purpose. In addition to your technical responsibilities there will be opportunities for leadership within the teams and in client engagements, in the initial discussions of requirements through technology demonstrations to customer acceptance test, delivery and support. The role may give the opportunity to work on client site, from the office, in shared workspaces or from home as necessary. Job Purpose & Key Responsibilities As an embedded software engineer your responsibilities could include: Capture of embedded software requirements, software design and test/verification processes for efficient real time systems from R&D concept through to the full product development lifecycle The implementation of bespoke data processing and control schemes. Understanding and applying new and emerging technologies inclusive of RPNT Digital Signal Processing algorithm techniques Rapid prototyping for UOR requirements Essential skills will include BEng/BSc or Master's degree in an appropriate engineering or computer science related subject. Strong skill set in C and/or C++ for embedded development and associated operating systems Collaboration with cross functional teams to deliver project requirements, system design, and system test/integration phases and experience of modern DevOps practices Knowledge of latest System on Chip (SoC) devices, Software Defined Radio (SDR) platforms and open source frameworks such as OpenCPI. Good understanding of Digital Signal Processing (DSP) algorithms and experience of modelling or simulation algorithms using MATLAB or Python. Ideally you will have experience in some of the following: Awareness of security aspects related to embedded systems. Practical electronics design experience in hardware and associated FPGA firmware development. Knowledge of defence domains, such as Position, Navigation and Timing (PNT), Electronic Warfare, Sensor and Communication systems. Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection & Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies & techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, you should be a British Citizen and have resided in the UK for the last 5 years for SC. The Next Step Click apply, submitting an up to date CV. We look forward to hearing from you. Roke, Roke Manor, Romsey, Hampshire, United Kingdom
Altana is the network for trusted trade. Our AI powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, The Team Is Focussed On Develop, deploy and continuously improve distributed, big data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities. Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base. Serve as the technical expert in client facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. Work in a cross functional team of engineers, data scientists, and product managers. Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment. About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes ownership of the end to end design and operation of data solutions and refines the systems to deliver measurable results. 8+ years of technical experience in data engineering or closely related roles Extensive experience across the design, development, and maintenance of complex data models from a variety of sources and schemas Demonstrated track record of leading the full lifecycle (Design, Development, Test, Deploy, Monitor, Maintain) of data ingestion and standardization pipelines at scale Drive for sustainable software development, self healing data workflows, and a deep appreciation for data security and data governance Experience leading and mentoring other engineers on complex data engineering projects Eligible and willing to obtain UK Security Check (SC) clearance or have an active clearance already Excellent written and verbal communication skills, with a track record of successfully interacting directly with external customers and stakeholders to scope technical work and manage expectations Keep up to date with latest trends in data engineering and care deeply about engineering excellence and knowledge sharing Nice to have, but not required Expertise or experience with the deployment of ML pipelines. Exposure to trade compliance, supply chain management or a field similarly related to international commerce. Experience working with or within the public sector. Experience with the responsibilities involved in managing a data platform, including monitoring and managing releases, costs, and infrastructure changes. Familiarity using AI tools to enhance the quality and pace of your output. Technologies we love Languages: Python, Spark, SQL Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker Datastores: Databricks, OpenSearch, Postgres This role is based in our London office, with hybrid work flexibility and candidates must be within commuting distance from our hub location. Our Values Trust: Our customers and partners entrust us with missions of the highest importance. We honor that by keeping our word, meeting commitments, and ensuring every action we take reinforces confidence in us. We rely on each other to deliver, to speak openly, and to hold ourselves accountable. Resilience: In a world of uncertainty and complexity, our work must withstand challenges, evolve with conditions, and ensure reliability over time. Resilience is both how we operate and what we deliver. It's how we respond when things don't go to plan we adapt, we support each other, and we keep moving forward. Stewardship: We are stewards of every mission we touch. Because our work impacts lives and futures, we hold ourselves accountable to delivering mission impact and never compromising. Our responsibility extends beyond individual projects to the broader system of global trade. We believe that stewardship starts from within so that we can bring focus, creativity, and excellence to our work. Each of us is personally responsible for fostering a workplace where people can thrive. And we are stewards of the greater good of the company. By holding ourselves and each other accountable, we build a culture of innovation and collective success that reflects the scale of our mission. Courage: Courage is what unlocks the seemingly impossible for our customers. It's the core value that drives us make bold moves and take on big, complicated network problems-the ones others avoid. We know success isn't guaranteed, but we have the audacious vision to believe a solution is possible and to build it. Courage fuels our growth mindset. It means embracing challenges that make us stronger, and it's demonstrated by how we approach hard conversations and complex projects. At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We're proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.
29/05/2026
Full time
Altana is the network for trusted trade. Our AI powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is focused on integrating Altana's products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations. Specifically, The Team Is Focussed On Develop, deploy and continuously improve distributed, big data pipelines powering Altana's state of the art network analysis, ML, data ingestion and fusion capabilities. Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base. Serve as the technical expert in client facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. Work in a cross functional team of engineers, data scientists, and product managers. Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment. About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes ownership of the end to end design and operation of data solutions and refines the systems to deliver measurable results. 8+ years of technical experience in data engineering or closely related roles Extensive experience across the design, development, and maintenance of complex data models from a variety of sources and schemas Demonstrated track record of leading the full lifecycle (Design, Development, Test, Deploy, Monitor, Maintain) of data ingestion and standardization pipelines at scale Drive for sustainable software development, self healing data workflows, and a deep appreciation for data security and data governance Experience leading and mentoring other engineers on complex data engineering projects Eligible and willing to obtain UK Security Check (SC) clearance or have an active clearance already Excellent written and verbal communication skills, with a track record of successfully interacting directly with external customers and stakeholders to scope technical work and manage expectations Keep up to date with latest trends in data engineering and care deeply about engineering excellence and knowledge sharing Nice to have, but not required Expertise or experience with the deployment of ML pipelines. Exposure to trade compliance, supply chain management or a field similarly related to international commerce. Experience working with or within the public sector. Experience with the responsibilities involved in managing a data platform, including monitoring and managing releases, costs, and infrastructure changes. Familiarity using AI tools to enhance the quality and pace of your output. Technologies we love Languages: Python, Spark, SQL Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker Datastores: Databricks, OpenSearch, Postgres This role is based in our London office, with hybrid work flexibility and candidates must be within commuting distance from our hub location. Our Values Trust: Our customers and partners entrust us with missions of the highest importance. We honor that by keeping our word, meeting commitments, and ensuring every action we take reinforces confidence in us. We rely on each other to deliver, to speak openly, and to hold ourselves accountable. Resilience: In a world of uncertainty and complexity, our work must withstand challenges, evolve with conditions, and ensure reliability over time. Resilience is both how we operate and what we deliver. It's how we respond when things don't go to plan we adapt, we support each other, and we keep moving forward. Stewardship: We are stewards of every mission we touch. Because our work impacts lives and futures, we hold ourselves accountable to delivering mission impact and never compromising. Our responsibility extends beyond individual projects to the broader system of global trade. We believe that stewardship starts from within so that we can bring focus, creativity, and excellence to our work. Each of us is personally responsible for fostering a workplace where people can thrive. And we are stewards of the greater good of the company. By holding ourselves and each other accountable, we build a culture of innovation and collective success that reflects the scale of our mission. Courage: Courage is what unlocks the seemingly impossible for our customers. It's the core value that drives us make bold moves and take on big, complicated network problems-the ones others avoid. We know success isn't guaranteed, but we have the audacious vision to believe a solution is possible and to build it. Courage fuels our growth mindset. It means embracing challenges that make us stronger, and it's demonstrated by how we approach hard conversations and complex projects. At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We're proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.
.This role sits within Elsevier's Platform Data Science organization , a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace , Elsevier's AI-powered research assistant, as well as Elsevier's broader Search & AI Platform . Search and retrieval systems Generative AI and LLM applications AI evaluation and experimentation Semantic enrichment and knowledge systems Scalable AI platforms and intelligent workflowsWe are looking for a Senior Data Scientist I to help design, build, and evaluate advanced AI capabilities powering LeapSpace. This role will focus heavily on applied AI research and development , including prototyping intelligent workflows, integrating large language models with trusted scientific data, and advancing AI-assisted research experiences. Lead prototyping and development of LLM-powered research workflows , including:+ Scientific question answering+ Literature summarization+ Semantic exploration and discovery+ Research insight generation+ Citation-aware reasoning workflows Design and iterate on agentic and multi-step AI workflows using frameworks such as LangGraph and related orchestration tooling. Apply state-of-the-art techniques in:+ NLP+ Generative AI+ Embeddings and semantic representations+ Retrieval-augmented generation (RAG)+ AI reasoning and orchestration Rapidly evaluate emerging AI models, tooling, and frameworks to identify opportunities for product innovation. Translate applied AI research into scalable, production-oriented solutions that improve researcher productivity and trust. Contribute to experimentation around prompt engineering, context management, grounding strategies, and hallucination mitigation. Support integration of scientific metadata, ontologies, and knowledge assets into AI workflows. Design and optimize search and retrieval pipelines , including lexical, vector, and hybrid retrieval approaches. Develop and improve RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration to improve relevance and answer quality. Build scalable workflows for semantic search and knowledge discovery. Collaborate closely with engineering teams to productionize AI and retrieval systems. Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field 3-5+ years of experience in applied AI, machine learning, NLP, or information retrieval Strong hands-on experience with:+ LLM-based applications and generative AI systems + RAG pipelines and retrieval systems + Search and retrieval architectures (lexical, vector, hybrid)+ Evaluation methodologies for IR and generative AI systems Advanced programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design, evaluation frameworks, and statistical analysis Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn) Experience building AI assistants, agentic workflows, or conversational AI systems Experience working on large-scale search, ranking, or recommendation systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Publications or applied research contributions in NLP, IR, search, or generative AI Experience building AI systems in regulated, high-trust, or content-rich domainsWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
29/05/2026
Full time
.This role sits within Elsevier's Platform Data Science organization , a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace , Elsevier's AI-powered research assistant, as well as Elsevier's broader Search & AI Platform . Search and retrieval systems Generative AI and LLM applications AI evaluation and experimentation Semantic enrichment and knowledge systems Scalable AI platforms and intelligent workflowsWe are looking for a Senior Data Scientist I to help design, build, and evaluate advanced AI capabilities powering LeapSpace. This role will focus heavily on applied AI research and development , including prototyping intelligent workflows, integrating large language models with trusted scientific data, and advancing AI-assisted research experiences. Lead prototyping and development of LLM-powered research workflows , including:+ Scientific question answering+ Literature summarization+ Semantic exploration and discovery+ Research insight generation+ Citation-aware reasoning workflows Design and iterate on agentic and multi-step AI workflows using frameworks such as LangGraph and related orchestration tooling. Apply state-of-the-art techniques in:+ NLP+ Generative AI+ Embeddings and semantic representations+ Retrieval-augmented generation (RAG)+ AI reasoning and orchestration Rapidly evaluate emerging AI models, tooling, and frameworks to identify opportunities for product innovation. Translate applied AI research into scalable, production-oriented solutions that improve researcher productivity and trust. Contribute to experimentation around prompt engineering, context management, grounding strategies, and hallucination mitigation. Support integration of scientific metadata, ontologies, and knowledge assets into AI workflows. Design and optimize search and retrieval pipelines , including lexical, vector, and hybrid retrieval approaches. Develop and improve RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration to improve relevance and answer quality. Build scalable workflows for semantic search and knowledge discovery. Collaborate closely with engineering teams to productionize AI and retrieval systems. Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field 3-5+ years of experience in applied AI, machine learning, NLP, or information retrieval Strong hands-on experience with:+ LLM-based applications and generative AI systems + RAG pipelines and retrieval systems + Search and retrieval architectures (lexical, vector, hybrid)+ Evaluation methodologies for IR and generative AI systems Advanced programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design, evaluation frameworks, and statistical analysis Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn) Experience building AI assistants, agentic workflows, or conversational AI systems Experience working on large-scale search, ranking, or recommendation systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Publications or applied research contributions in NLP, IR, search, or generative AI Experience building AI systems in regulated, high-trust, or content-rich domainsWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins - big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Role Summary We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering, RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations Optimise model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Experience with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Proven track record of delivering complex technical projects on time with high quality Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field Hands-on experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Experience with A/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence.
29/05/2026
Full time
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins - big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Role Summary We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering, RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations Optimise model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Experience with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Proven track record of delivering complex technical projects on time with high quality Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field Hands-on experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Experience with A/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence.
