Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Scientist Lead Data Scientist - Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. We're an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams. In this position, you will: • Perform proof-of-concept projects, engage in product design and build prototypes. • Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. • Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data. • Think about how derived insights can be turned into new products and services we can offer to external clients. • Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally. • Write white papers, patents, and client facing data visualisations. • Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. Skills Required Your passion is focused on the design of algorithms to solve real, pressing problems using data. You will have an interest in the financial services industry and want to tackle financial crime in the wider economy. You are excited by building products for clients and are keen to engage in the design processes this involves. Specifically: • You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. • You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. • You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes. • You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes. • You are happy and excited to explore new programming languages, technologies, and techniques. • You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed. As we are often breaking new ground, both for Mastercard and more widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable: • Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters). • Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow. • Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: • Abide by Mastercard's security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Scientist Lead Data Scientist - Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. We're an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams. In this position, you will: • Perform proof-of-concept projects, engage in product design and build prototypes. • Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. • Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data. • Think about how derived insights can be turned into new products and services we can offer to external clients. • Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally. • Write white papers, patents, and client facing data visualisations. • Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. Skills Required Your passion is focused on the design of algorithms to solve real, pressing problems using data. You will have an interest in the financial services industry and want to tackle financial crime in the wider economy. You are excited by building products for clients and are keen to engage in the design processes this involves. Specifically: • You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. • You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. • You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes. • You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes. • You are happy and excited to explore new programming languages, technologies, and techniques. • You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed. As we are often breaking new ground, both for Mastercard and more widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable: • Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters). • Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow. • Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: • Abide by Mastercard's security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance Analytics Managing Consultant - Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact • Lead client engagements across a range of industries and problem statements • Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value • Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture • Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members' roles and skills • Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels • Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital • Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications • Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. • Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. • Experience coaching, leading, and managing technical teams across multiple projects • Experience managing key client relationships • Knowledge of business KPIs, financials and organizational leadership • Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities • Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations • Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) • Experience building, managing, and maintaining database structures to support analysis • Advanced Word, Excel, and PowerPoint skills • Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment • Ability to communicate effectively in English and the local office language (if applicable) • Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Experience generating new knowledge or creating innovative solutions for a firm • Relevant industry expertise • Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models • Master's degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance Analytics Managing Consultant - Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact • Lead client engagements across a range of industries and problem statements • Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value • Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture • Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members' roles and skills • Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels • Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital • Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications • Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. • Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. • Experience coaching, leading, and managing technical teams across multiple projects • Experience managing key client relationships • Knowledge of business KPIs, financials and organizational leadership • Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities • Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations • Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) • Experience building, managing, and maintaining database structures to support analysis • Advanced Word, Excel, and PowerPoint skills • Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment • Ability to communicate effectively in English and the local office language (if applicable) • Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Experience generating new knowledge or creating innovative solutions for a firm • Relevant industry expertise • Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models • Master's degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance AnalyticsManaging Consultant Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercards rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. Experience coaching, leading, and managing technical teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) Experience building, managing, and maintaining database structures to support analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models Masters degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance AnalyticsManaging Consultant Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercards rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. Experience coaching, leading, and managing technical teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) Experience building, managing, and maintaining database structures to support analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models Masters degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data ScientistLead Data Scientist Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. Were an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams. In this position, you will: Perform proof-of-concept projects, engage in product design and build prototypes. Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data. Think about how derived insights can be turned into new products and services we can offer to external clients. Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally. Write white papers, patents, and client facing data visualisations. Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. Skills Required Your passion is focused on the design of algorithms to solve real, pressing problems using data. You will have an interest in the financial services industry and want to tackle financial crime in the wider economy. You are excited by building products for clients and are keen to engage in the design processes this involves. Specifically: You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes. You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes. You are happy and excited to explore new programming languages, technologies, and techniques. You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed. As we are often breaking new ground, both for Mastercard and more widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable: Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters). Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow. Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data ScientistLead Data Scientist Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. Were an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams. In this position, you will: Perform proof-of-concept projects, engage in product design and build prototypes. Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data. Think about how derived insights can be turned into new products and services we can offer to external clients. Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally. Write white papers, patents, and client facing data visualisations. Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. Skills Required Your passion is focused on the design of algorithms to solve real, pressing problems using data. You will have an interest in the financial services industry and want to tackle financial crime in the wider economy. You are excited by building products for clients and are keen to engage in the design processes this involves. Specifically: You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes. You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes. You are happy and excited to explore new programming languages, technologies, and techniques. You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed. As we are often breaking new ground, both for Mastercard and more widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable: Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters). Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow. Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
Maritime Control Systems Engineer Programme: Maritime Location: Farnborough, with flexibility to work from home dependent on business demands Grow our Maritime space with us! We are seeking an highly experienced and motivated Control Systems Engineer to lead the control systems team within Leidos UK Maritime Division. Initially you will be a senior member of the design and build team for Leidos Sea Dagger Commando Insertion Craft, responsible for the scoping, designing and delivering its Platform Management System (PMS). Subsequently you will move to supporting the delivery of PMS onto the wider portfolio of Leidos maritime assets. You will need to have extensive Programmable Logic Controller (PLC) and SCADA experience, with an innovative mindset which matched the design and delivery teams boundary pushing approach to platform development. You will be afforded a significant amount of autonomy to rapidly develop the right, cutting edge system to support this exciting programme. What will you be doing? Capture, develop and implement the customers user requirements, offering intelligent improvements where required. Architect the detailed design of the PMS Advise on design architecture and combat systems of the vessel, from a control systems perspective; Engage with equipment OEMs, facilitating their integration into platform management system, Design, develop and integrate the PMS function with the Agentic Artificial Intelligence and the autonomous systems being developed by Leidos for the Maritime domain. Responsible for the design, implantation and documentation of the vessels SCADA system, working with the wider team, customer, subcontractors, equipment OEMs and Human Factors (HF) specialists to maximise crew performance. Work with the platform naval architecture and marine systems team to create bespoke control systems for specific elements of the platform. Responsible for the update of essential PMS documentation such as the signals database, Testing and Assurance. What does Leidos need from me? Able to design complex PLC Control Systems based on COTS products (Rockwell/Siemens). Proven experience in the design and production of safety accredited SCADA systems. Using a PMS to support the testing and commissioning of equipment on complex maritime platforms. PMS virtualisation and systems integration in a cloud based environment. Experience in designing and implementing control systems to high Military security standards. Able to interface with and/or develop Machine Learning systems. Experience specifically within the Defence Maritime sector. Highly Desirable Understanding of high speed Maritime Platform Vehicle control. Security clearance: Clearance to Start - BPSS Clearance for Role - SC Must be UK Citizen holding or able to hold SC clearance What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growthwhilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. JBRP1_UKTJ
07/12/2025
Full time
Maritime Control Systems Engineer Programme: Maritime Location: Farnborough, with flexibility to work from home dependent on business demands Grow our Maritime space with us! We are seeking an highly experienced and motivated Control Systems Engineer to lead the control systems team within Leidos UK Maritime Division. Initially you will be a senior member of the design and build team for Leidos Sea Dagger Commando Insertion Craft, responsible for the scoping, designing and delivering its Platform Management System (PMS). Subsequently you will move to supporting the delivery of PMS onto the wider portfolio of Leidos maritime assets. You will need to have extensive Programmable Logic Controller (PLC) and SCADA experience, with an innovative mindset which matched the design and delivery teams boundary pushing approach to platform development. You will be afforded a significant amount of autonomy to rapidly develop the right, cutting edge system to support this exciting programme. What will you be doing? Capture, develop and implement the customers user requirements, offering intelligent improvements where required. Architect the detailed design of the PMS Advise on design architecture and combat systems of the vessel, from a control systems perspective; Engage with equipment OEMs, facilitating their integration into platform management system, Design, develop and integrate the PMS function with the Agentic Artificial Intelligence and the autonomous systems being developed by Leidos for the Maritime domain. Responsible for the design, implantation and documentation of the vessels SCADA system, working with the wider team, customer, subcontractors, equipment OEMs and Human Factors (HF) specialists to maximise crew performance. Work with the platform naval architecture and marine systems team to create bespoke control systems for specific elements of the platform. Responsible for the update of essential PMS documentation such as the signals database, Testing and Assurance. What does Leidos need from me? Able to design complex PLC Control Systems based on COTS products (Rockwell/Siemens). Proven experience in the design and production of safety accredited SCADA systems. Using a PMS to support the testing and commissioning of equipment on complex maritime platforms. PMS virtualisation and systems integration in a cloud based environment. Experience in designing and implementing control systems to high Military security standards. Able to interface with and/or develop Machine Learning systems. Experience specifically within the Defence Maritime sector. Highly Desirable Understanding of high speed Maritime Platform Vehicle control. Security clearance: Clearance to Start - BPSS Clearance for Role - SC Must be UK Citizen holding or able to hold SC clearance What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growthwhilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. JBRP1_UKTJ
Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy
06/12/2025
Full time
Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy
Our client is a forward-thinking technology company at the cutting edge of AI and machine learning. They are looking for a talented Lead Machine Learning Engineer to join their growing team and help shape the future of intelligent systems. The Role As Lead ML Engineer, you will: Lead and mentor a team of software engineers. Design, build, and deploy production-grade machine learning solutions. Work on innovative projects involving large language models and generative AI at scale. Collaborate with cross-functional teams to deliver robust, high-performance systems. Key Requirements Degree in Computer Science, Mathematics, or a related discipline. Minimum 3 years of experience writing and deploying production-grade Python. Strong coding skills and passion for data science and open-source technologies. Experience with cloud platforms (AWS, Google Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. UK citizenship required. What's on Offer Opportunity to work on cutting-edge AI and ML projects. Collaborative, knowledge-driven culture. Competitive salary and benefits package.
05/12/2025
Full time
Our client is a forward-thinking technology company at the cutting edge of AI and machine learning. They are looking for a talented Lead Machine Learning Engineer to join their growing team and help shape the future of intelligent systems. The Role As Lead ML Engineer, you will: Lead and mentor a team of software engineers. Design, build, and deploy production-grade machine learning solutions. Work on innovative projects involving large language models and generative AI at scale. Collaborate with cross-functional teams to deliver robust, high-performance systems. Key Requirements Degree in Computer Science, Mathematics, or a related discipline. Minimum 3 years of experience writing and deploying production-grade Python. Strong coding skills and passion for data science and open-source technologies. Experience with cloud platforms (AWS, Google Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. UK citizenship required. What's on Offer Opportunity to work on cutting-edge AI and ML projects. Collaborative, knowledge-driven culture. Competitive salary and benefits package.
About The Role Role Overview proAV are a leading global audio visual integrator, providing AV and event services across multiple client partnerships globally. Our immediate requirement is for an experienced Software Solutions Engineer to be a key part of our Egham team, representing proAV, playing a pivotal role in driving the successful adoption, ongoing enhancement and support of our internal software platforms, with a strong focus on user experience and engagement. This role is central to supporting the development, deployment, and continuous improvement of software solutions across the business-ensuring that both the company and its users gain maximum value from the tools in place. Your primary responsibility (not limited to) will be to support and optimise our Microsoft Dynamics 365 CRM platform, including system and data administration. Working closely with the Lead Software Solutions developer, you will deliver high-quality user support and training, maintain system integrity, set and champion best practices in data management. This is an ideal opportunity for someone with strong technical aptitude, excellent communication skills, and a passion for delivering reliable, user-friendly systems. This is an exciting opportunity for an exceptional, experienced to join an established operation with scope to drive and enhance the service at every opportunity. Experience and seniority of the position will be reflected by the remuneration and benefits package. Key Responsibilities Key Objectives/deliverables for the Role: Provide day to day support to end users, ensuring a "best experience" approach is adopted whilst training and supporting end users using Company software. Plan and deliver software projects and changes. Owning or involved in all aspects from concept, design, scoping, roll out, end user adoption and support. Create and deliver training, including training documentation - in collaboration with the training department. Supporting training efforts (formal and informal) and work to identify new opportunities to improve D365 usage. System administration, ensuring accuracy and integrity of system configuration and system data. Reinforcing good data entry and maintenance practices by users. Work with end users to create personal / department dashboards and reports (Both Dynamics and Power BI). Support internal software change control, this will include, but not limited to: Creating and administering change control tickets Implementing approved changes Attending scoping / delivery workshops Supporting the Software Solutions Officer with minor system changes. Support: Provide D365 helpdesk services for both internal users and the D365 team. Including associated solutions such as the Portal and Field Engineering App. Create, manage and resolve support tickets, documenting all actions and solutions. Analyse and troubleshoot issues to determine root causes and solutions. Keep stakeholders informed on issue status and escalate high-priority cases where needed. Assist with testing for new implementations and system updates. System Administration: Assist with day-to-day platform administration including user management, security roles, views, dashboards, marketing lists, license assignment and configuration changes. Collaborate with external partners and internal teams to plan and deploy system enhancements and updates. Participate in system improvement discussions and suggest enhancements based on user feedback. Stay up to date with the latest Microsoft and Dynamics technologies through ongoing learning. Data Administration: Develop and implement data quality standards, validation rules, and entry protocols. Conduct routine audits to identify and correct duplicates and inconsistencies. Work with business stakeholders to implement data retention policies and optimize storage. Maintain a strong focus on ensuring data integrity across all integrated systems. Key Requirements: Strong technical and analytical skills with attention to detail and a methodical approach. Proven experience implementing and maintaining data quality standards. Excellent problem-solving skills with the ability to communicate technical solutions effectively. Ability to manage multiple priorities and deliver in a fast paced and dynamic environment. Strong interpersonal and communication skills; able to run and deliver training sessions, a team player who can work cross-functionally across various users and departments. Growth mindset and eagerness to learn and develop professionally. Experience of Microsoft Dynamics would be a distinct advantage, including Power BI Power Apps Power Automate Basic understanding and or an active interest in: Programming languages such as C#, JavaScript, Python and SQL. AI and machine learning Model Context Protocol (MCP) Equality, Diversity & Inclusion: proAV is an equal opportunity employer that is committed to supporting and promoting an inclusive culture for all employees and job applicants. We want everyone to feel comfortable being themselves and create a culture where we understand and respect each other's differences. proAV does not tolerate discrimination based on age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. We make employment decision based on the needs of our business and the qualifications and/or experience of the individual. proAV offers personal and professional development opportunities, not just through traditional qualifications, but also through Apprenticeship schemes, internal training and mentorship programmes. We support employees and job applicants with their work-life balance through our family friendly policies and practices. We encourage all to apply.
05/12/2025
Full time
About The Role Role Overview proAV are a leading global audio visual integrator, providing AV and event services across multiple client partnerships globally. Our immediate requirement is for an experienced Software Solutions Engineer to be a key part of our Egham team, representing proAV, playing a pivotal role in driving the successful adoption, ongoing enhancement and support of our internal software platforms, with a strong focus on user experience and engagement. This role is central to supporting the development, deployment, and continuous improvement of software solutions across the business-ensuring that both the company and its users gain maximum value from the tools in place. Your primary responsibility (not limited to) will be to support and optimise our Microsoft Dynamics 365 CRM platform, including system and data administration. Working closely with the Lead Software Solutions developer, you will deliver high-quality user support and training, maintain system integrity, set and champion best practices in data management. This is an ideal opportunity for someone with strong technical aptitude, excellent communication skills, and a passion for delivering reliable, user-friendly systems. This is an exciting opportunity for an exceptional, experienced to join an established operation with scope to drive and enhance the service at every opportunity. Experience and seniority of the position will be reflected by the remuneration and benefits package. Key Responsibilities Key Objectives/deliverables for the Role: Provide day to day support to end users, ensuring a "best experience" approach is adopted whilst training and supporting end users using Company software. Plan and deliver software projects and changes. Owning or involved in all aspects from concept, design, scoping, roll out, end user adoption and support. Create and deliver training, including training documentation - in collaboration with the training department. Supporting training efforts (formal and informal) and work to identify new opportunities to improve D365 usage. System administration, ensuring accuracy and integrity of system configuration and system data. Reinforcing good data entry and maintenance practices by users. Work with end users to create personal / department dashboards and reports (Both Dynamics and Power BI). Support internal software change control, this will include, but not limited to: Creating and administering change control tickets Implementing approved changes Attending scoping / delivery workshops Supporting the Software Solutions Officer with minor system changes. Support: Provide D365 helpdesk services for both internal users and the D365 team. Including associated solutions such as the Portal and Field Engineering App. Create, manage and resolve support tickets, documenting all actions and solutions. Analyse and troubleshoot issues to determine root causes and solutions. Keep stakeholders informed on issue status and escalate high-priority cases where needed. Assist with testing for new implementations and system updates. System Administration: Assist with day-to-day platform administration including user management, security roles, views, dashboards, marketing lists, license assignment and configuration changes. Collaborate with external partners and internal teams to plan and deploy system enhancements and updates. Participate in system improvement discussions and suggest enhancements based on user feedback. Stay up to date with the latest Microsoft and Dynamics technologies through ongoing learning. Data Administration: Develop and implement data quality standards, validation rules, and entry protocols. Conduct routine audits to identify and correct duplicates and inconsistencies. Work with business stakeholders to implement data retention policies and optimize storage. Maintain a strong focus on ensuring data integrity across all integrated systems. Key Requirements: Strong technical and analytical skills with attention to detail and a methodical approach. Proven experience implementing and maintaining data quality standards. Excellent problem-solving skills with the ability to communicate technical solutions effectively. Ability to manage multiple priorities and deliver in a fast paced and dynamic environment. Strong interpersonal and communication skills; able to run and deliver training sessions, a team player who can work cross-functionally across various users and departments. Growth mindset and eagerness to learn and develop professionally. Experience of Microsoft Dynamics would be a distinct advantage, including Power BI Power Apps Power Automate Basic understanding and or an active interest in: Programming languages such as C#, JavaScript, Python and SQL. AI and machine learning Model Context Protocol (MCP) Equality, Diversity & Inclusion: proAV is an equal opportunity employer that is committed to supporting and promoting an inclusive culture for all employees and job applicants. We want everyone to feel comfortable being themselves and create a culture where we understand and respect each other's differences. proAV does not tolerate discrimination based on age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. We make employment decision based on the needs of our business and the qualifications and/or experience of the individual. proAV offers personal and professional development opportunities, not just through traditional qualifications, but also through Apprenticeship schemes, internal training and mentorship programmes. We support employees and job applicants with their work-life balance through our family friendly policies and practices. We encourage all to apply.
Machine Learning Engineer (LLM / AI Systems) London / Hybrid 0-3 Years Experience Competitive Salary Are you obsessed with AI and large language models? We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI. What You'll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish. What We're Looking For 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You'll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working - remote-first culture with in-person team sessions for collaboration. Career acceleration - opportunities to own projects, lead development, and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.
05/12/2025
Full time
Machine Learning Engineer (LLM / AI Systems) London / Hybrid 0-3 Years Experience Competitive Salary Are you obsessed with AI and large language models? We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI. What You'll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish. What We're Looking For 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You'll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working - remote-first culture with in-person team sessions for collaboration. Career acceleration - opportunities to own projects, lead development, and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.
Senior Backend Engineer We are seeking a deeply technical and security-minded Senior Backend Engineer to join a newly-founded, high-impact AI joint venture. Backed by five of the world's leading telecommunications giants, our mission is to restore trust in global voice communication. This is not a standard Back End role. We are seeking a foundational engineer to own our single greatest strategic asset: our unique, privileged access to network-level intelligence via the GSMA CAMARA API standard. This is our right to win, and you will be the engineer responsible for building the bridge to it. You will be the Critical Path Owner for Track Zero, the 30-day foundational sprint to validate and integrate the first-ever CAMARA-based signals (like sim-swap and device-roaming-status) from our telco founders. Your success is the Go/No-Go gate for our MWC 2026 launch. You will be directly responsible for building the out-of-band data path that enables our flagship Telco-Verified Security Shield and its sub-500ms Time-to-Trust metric, our core differentiator that no over-the-top competitor can replicate. This position offers a unique opportunity to define a new category of network-aware security, working directly with the world's leading carriers to turn their network data into a Real Time defense against global fraud. Key Responsibilities Telco Integration & Architecture Own and build the Security Signal Ingestion path, the secure, low-latency, and out-of-band data channel connecting to our founding members' network API gateways. Architect and implement a carrier-agnostic, vendor-agnostic connector layer to consume RESTful APIs from a heterogeneous global landscape of telco partners and IMS vendors (eg, Nokia, Ericsson, Mavenir). Serve as the primary technical liaison to the engineering teams at our telco founders (Deutsche Telekom, Singtel, SKT, etc.), working hand-in-glove to navigate, validate, and productionize their new CAMARA network APIs. Design and build the high-throughput microservices that will query, ingest, normalize, and cache network signals (eg, sim-swap, device-roaming-status) to be used in our Real Time Scam_Score model. Implement a mandatory Zero Trust security model for this critical integration, our most sensitive asset. This includes mTLS, least-privilege IAM, and network micro-segmentation. System Ownership & Performance Serve as the Critical Path Owner for Track Zero, our 30-day sprint to validate and integrate Real Time signals from at least two telco partners, culminating in a Go/No-Go demo. Ensure all network API integrations meet the stringent P99 latency budgets (eg, < 150ms) required to support our sub-500ms Time-to-Trust product goal. Collaborate with the platform team to build a parallel development path using mocked data to mitigate risks of network API delays. Define and own the data contracts and pipelines that feed this "ground-truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. Partner with product and leadership to define the Phase 2 (post-MWC) roadmap for co-developing new, proprietary network APIs (like Caller_Velocity from CDRs) that will become our long-term, indefensible moat. Document integration architectures, data schemas, and security controls to create setup guides for our Founding Member partners. Collaborate with our external InfoSec vendor to ensure the integration layer is continuously validated and hardened against threats. Required Qualifications Education & Experience Bachelor's degree in Computer Science, Engineering, or a related field. 7+ years of hands-on experience in Back End engineering, with a proven track record of building and maintaining high-performance, distributed systems in production. Required Technical Skills A minimum of 5 years of production experience with C++ or Go (Golang). Strong, demonstrable experiefnce with Real Time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity about) telecommunications protocols and architectures. You must be comfortable talking to network engineers. Experience with high-throughput messaging or streaming platforms (eg, Kafka, Pulsar). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH. The salary is very much Dependent on experience with a guide between £130k-£160K basic + package.
05/12/2025
Full time
Senior Backend Engineer We are seeking a deeply technical and security-minded Senior Backend Engineer to join a newly-founded, high-impact AI joint venture. Backed by five of the world's leading telecommunications giants, our mission is to restore trust in global voice communication. This is not a standard Back End role. We are seeking a foundational engineer to own our single greatest strategic asset: our unique, privileged access to network-level intelligence via the GSMA CAMARA API standard. This is our right to win, and you will be the engineer responsible for building the bridge to it. You will be the Critical Path Owner for Track Zero, the 30-day foundational sprint to validate and integrate the first-ever CAMARA-based signals (like sim-swap and device-roaming-status) from our telco founders. Your success is the Go/No-Go gate for our MWC 2026 launch. You will be directly responsible for building the out-of-band data path that enables our flagship Telco-Verified Security Shield and its sub-500ms Time-to-Trust metric, our core differentiator that no over-the-top competitor can replicate. This position offers a unique opportunity to define a new category of network-aware security, working directly with the world's leading carriers to turn their network data into a Real Time defense against global fraud. Key Responsibilities Telco Integration & Architecture Own and build the Security Signal Ingestion path, the secure, low-latency, and out-of-band data channel connecting to our founding members' network API gateways. Architect and implement a carrier-agnostic, vendor-agnostic connector layer to consume RESTful APIs from a heterogeneous global landscape of telco partners and IMS vendors (eg, Nokia, Ericsson, Mavenir). Serve as the primary technical liaison to the engineering teams at our telco founders (Deutsche Telekom, Singtel, SKT, etc.), working hand-in-glove to navigate, validate, and productionize their new CAMARA network APIs. Design and build the high-throughput microservices that will query, ingest, normalize, and cache network signals (eg, sim-swap, device-roaming-status) to be used in our Real Time Scam_Score model. Implement a mandatory Zero Trust security model for this critical integration, our most sensitive asset. This includes mTLS, least-privilege IAM, and network micro-segmentation. System Ownership & Performance Serve as the Critical Path Owner for Track Zero, our 30-day sprint to validate and integrate Real Time signals from at least two telco partners, culminating in a Go/No-Go demo. Ensure all network API integrations meet the stringent P99 latency budgets (eg, < 150ms) required to support our sub-500ms Time-to-Trust product goal. Collaborate with the platform team to build a parallel development path using mocked data to mitigate risks of network API delays. Define and own the data contracts and pipelines that feed this "ground-truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. Partner with product and leadership to define the Phase 2 (post-MWC) roadmap for co-developing new, proprietary network APIs (like Caller_Velocity from CDRs) that will become our long-term, indefensible moat. Document integration architectures, data schemas, and security controls to create setup guides for our Founding Member partners. Collaborate with our external InfoSec vendor to ensure the integration layer is continuously validated and hardened against threats. Required Qualifications Education & Experience Bachelor's degree in Computer Science, Engineering, or a related field. 7+ years of hands-on experience in Back End engineering, with a proven track record of building and maintaining high-performance, distributed systems in production. Required Technical Skills A minimum of 5 years of production experience with C++ or Go (Golang). Strong, demonstrable experiefnce with Real Time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity about) telecommunications protocols and architectures. You must be comfortable talking to network engineers. Experience with high-throughput messaging or streaming platforms (eg, Kafka, Pulsar). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH. The salary is very much Dependent on experience with a guide between £130k-£160K basic + package.
Lead Software Developer required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Lead Software Developer will be responsible for the software engineering output of the team. This will be a leadership role however success candidate will be expected to be hands-on, writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
05/12/2025
Full time
Lead Software Developer required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Lead Software Developer will be responsible for the software engineering output of the team. This will be a leadership role however success candidate will be expected to be hands-on, writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
Job Title: Senior Full Stack Systems Developer (Environment) Ref. No.: CJD131125A Location: St. Albans Salary: £80,000 - £85,000 This is a fantastic opportunity to join my client, an industry-leading, eco-conscious Technology Company renowned for lending their expertise to providing monitoring systems to the environmental sector. They are on the lookout for a talented, enthusiastic Senior Full Stack Systems Developer with knowledge of, and a passion for, the environment. The ideal candidate will be keen to take on a variety of challenging projects whilst leading an already-established team of experts, based near the conveniently-located, family-friendly city of St. Albans. Benefits for the role of Senior Full Stack Systems Developer include (but are not limited to): Competitive salary (commensurate with experience) Bonuses based on performance Contributory Pension Scheme Generous annual leave allowance Genuine opportunities to shape the future development and success of the company Responsibilities for the role of Senior Full Stack Systems Developer include: Managing a team of experts in the field Leading the production, deployment, and continued development of the company's products across the environmental sector, focusing on business development and strategy Monitoring the continued maintenance of the company's core products and services Taking responsibility for the long-term quality and security of the Source Code Required skills and experience for the role of Senior Full Stack Systems Developer include: A Degree (or higher qualification) in Software Engineering, Computer Science, or a similar, relevant field Extensive experience of working in a Full Stack Developer role Excellent working knowledge of the Full Software System Lifecycle, including front-end and back-end aspects Experience of working with software systems/programmes within an environmental setting Demonstrable experience in the use of Java Middleware, API, Docker, and MQ systems Outstanding knowledge of performance and security in Enterprise Systems Experience of working with networks: LAN & WAN/Internet and Security Prior experience of Database Access Design and Application Optimisation Demonstrable experience of working with Human Computer Interaction (HCI) in Software Systems, including Machine-to-Machine Automation Technologies Highly-proficient in Software System Design, Development, Testing, and Deployment Strategies for High Availability Desirable skills and experience for the role of Senior Full Stack Systems Developer include: Experience of developing software products for use within a Water/Hydrological Environment (e.g. flood risk and mitigation, etc.) Prior experience with Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior Full Stack Systems Developer, please do not hesitate to contact Caroline Davis at Penguin Recruitment. Please also see our website for a range of other roles currently available. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy.
05/12/2025
Full time
Job Title: Senior Full Stack Systems Developer (Environment) Ref. No.: CJD131125A Location: St. Albans Salary: £80,000 - £85,000 This is a fantastic opportunity to join my client, an industry-leading, eco-conscious Technology Company renowned for lending their expertise to providing monitoring systems to the environmental sector. They are on the lookout for a talented, enthusiastic Senior Full Stack Systems Developer with knowledge of, and a passion for, the environment. The ideal candidate will be keen to take on a variety of challenging projects whilst leading an already-established team of experts, based near the conveniently-located, family-friendly city of St. Albans. Benefits for the role of Senior Full Stack Systems Developer include (but are not limited to): Competitive salary (commensurate with experience) Bonuses based on performance Contributory Pension Scheme Generous annual leave allowance Genuine opportunities to shape the future development and success of the company Responsibilities for the role of Senior Full Stack Systems Developer include: Managing a team of experts in the field Leading the production, deployment, and continued development of the company's products across the environmental sector, focusing on business development and strategy Monitoring the continued maintenance of the company's core products and services Taking responsibility for the long-term quality and security of the Source Code Required skills and experience for the role of Senior Full Stack Systems Developer include: A Degree (or higher qualification) in Software Engineering, Computer Science, or a similar, relevant field Extensive experience of working in a Full Stack Developer role Excellent working knowledge of the Full Software System Lifecycle, including front-end and back-end aspects Experience of working with software systems/programmes within an environmental setting Demonstrable experience in the use of Java Middleware, API, Docker, and MQ systems Outstanding knowledge of performance and security in Enterprise Systems Experience of working with networks: LAN & WAN/Internet and Security Prior experience of Database Access Design and Application Optimisation Demonstrable experience of working with Human Computer Interaction (HCI) in Software Systems, including Machine-to-Machine Automation Technologies Highly-proficient in Software System Design, Development, Testing, and Deployment Strategies for High Availability Desirable skills and experience for the role of Senior Full Stack Systems Developer include: Experience of developing software products for use within a Water/Hydrological Environment (e.g. flood risk and mitigation, etc.) Prior experience with Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior Full Stack Systems Developer, please do not hesitate to contact Caroline Davis at Penguin Recruitment. Please also see our website for a range of other roles currently available. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy.
Senior Data Product Manager - AI/MLEgham, Surrey (Hybrid - 2 days in office)Salary: £90,000 - £100,000 Our client, a global leader in customer-focused services, is seeking a Senior Data Product Manager to take a pivotal role in shaping and delivering innovative, AI-driven and predictive data products that enhance decision-making and operational excellence across international markets. The Opportunity This is a high-impact role where you'll define and lead the vision, development, and lifecycle of data and AI products used by cross-functional teams-from finance to technical operations-across the USA, Europe, and other regions. Your mission: drive adoption, deliver measurable business value, and champion data product excellence through advanced analytics and machine learning innovation. Key Responsibilities Define product strategies and roadmaps aligned with global business challenges and opportunities in AI, machine learning, and predictive analytics. Manage the full product lifecycle using data PLM frameworks-from ideation through to adoption and BAU transition. Partner with data science, engineering, and business teams to build and scale predictive models and AI capabilities into core products. Lead cross-functional collaboration across digital, commercial, and customer teams. Develop business cases and manage product delivery budgets. Define KPIs to measure success, model performance, and foster continuous improvement. Build and lead a high-performing team of Data Modellers, Machine Learning Specialists, and Business Analysts. Communicate strategy, vision, and progress to senior stakeholders, articulating the impact of AI and predictive insights. Your Profile 5+ years' experience in data or AI product management. Strong grasp of data infrastructure, analytics, machine learning, and predictive modelling. Proven track record of launching and scaling AI-enabled data products. Strategic thinker with tactical execution abilities. Skilled in agile methodologies and stakeholder engagement. Inspirational leader and mentor with excellent communication skills. Bachelor's degree in Computer Science, Data Science, Business, or similar (Master's preferred). Why Join? You'll join a company that is global in reach yet grounded in purpose-committed to real care for people, communities, and the planet. You'll help build AI-driven data solutions that shape the future of the business-while enjoying a collaborative, inclusive, and forward-thinking culture.
05/12/2025
Full time
Senior Data Product Manager - AI/MLEgham, Surrey (Hybrid - 2 days in office)Salary: £90,000 - £100,000 Our client, a global leader in customer-focused services, is seeking a Senior Data Product Manager to take a pivotal role in shaping and delivering innovative, AI-driven and predictive data products that enhance decision-making and operational excellence across international markets. The Opportunity This is a high-impact role where you'll define and lead the vision, development, and lifecycle of data and AI products used by cross-functional teams-from finance to technical operations-across the USA, Europe, and other regions. Your mission: drive adoption, deliver measurable business value, and champion data product excellence through advanced analytics and machine learning innovation. Key Responsibilities Define product strategies and roadmaps aligned with global business challenges and opportunities in AI, machine learning, and predictive analytics. Manage the full product lifecycle using data PLM frameworks-from ideation through to adoption and BAU transition. Partner with data science, engineering, and business teams to build and scale predictive models and AI capabilities into core products. Lead cross-functional collaboration across digital, commercial, and customer teams. Develop business cases and manage product delivery budgets. Define KPIs to measure success, model performance, and foster continuous improvement. Build and lead a high-performing team of Data Modellers, Machine Learning Specialists, and Business Analysts. Communicate strategy, vision, and progress to senior stakeholders, articulating the impact of AI and predictive insights. Your Profile 5+ years' experience in data or AI product management. Strong grasp of data infrastructure, analytics, machine learning, and predictive modelling. Proven track record of launching and scaling AI-enabled data products. Strategic thinker with tactical execution abilities. Skilled in agile methodologies and stakeholder engagement. Inspirational leader and mentor with excellent communication skills. Bachelor's degree in Computer Science, Data Science, Business, or similar (Master's preferred). Why Join? You'll join a company that is global in reach yet grounded in purpose-committed to real care for people, communities, and the planet. You'll help build AI-driven data solutions that shape the future of the business-while enjoying a collaborative, inclusive, and forward-thinking culture.
Join a fast-growing technology and engineering consultancy on a mission to become the UK's leading name in engineering excellence. We're looking for a Data Engineer who is passionate about technology, eager to sharpen their coding skills, and ready to make an impact in a collaborative, innovative environment. Data Engineer - Full Training on AWS Provided Salary: £40,000 - £55,000 Location: UK (Flexible Hybrid Working) Type: Permanent What's in it for you? Full training on AWS - perfect for candidates looking to upskill in cloud technologies. Exposure to cutting-edge projects across diverse industries. A supportive team culture focused on learning and growth. Your Day-to-Day Build modern data platforms and services using DevOps practices. Work on large-scale distributed workloads, batch and streaming pipelines, and implement robust monitoring solutions. Collaborate with architects, consultants, and client stakeholders to help businesses unlock the power of their data. Contribute to internal projects and ongoing training to expand your expertise. What We're Looking For Experience building data pipelines using Spark or Pandas . Familiarity with major cloud platforms (AWS, Azure, or GCP). Understanding of big data tools (EMR, Databricks, DataProc). Knowledge of data architectures (Data Lakes, Warehouses, Mesh). A proactive mindset with a passion for learning new technologies. Nice-to-Have Skills Automated data quality checks and metrics. CI/CD pipeline experience (GitHub Actions, Azure DevOps, Jenkins, etc.). Exposure to machine learning productionisation. Infrastructure as Code (Terraform, CloudFormation). Data visualisation tools (Power BI, Tableau, Qlik). Benefits Competitive salary and benefits package. Flexible hybrid working (3 days onsite). Career development opportunities in an entrepreneurial environment. Support for those returning from a career break.
05/12/2025
Full time
Join a fast-growing technology and engineering consultancy on a mission to become the UK's leading name in engineering excellence. We're looking for a Data Engineer who is passionate about technology, eager to sharpen their coding skills, and ready to make an impact in a collaborative, innovative environment. Data Engineer - Full Training on AWS Provided Salary: £40,000 - £55,000 Location: UK (Flexible Hybrid Working) Type: Permanent What's in it for you? Full training on AWS - perfect for candidates looking to upskill in cloud technologies. Exposure to cutting-edge projects across diverse industries. A supportive team culture focused on learning and growth. Your Day-to-Day Build modern data platforms and services using DevOps practices. Work on large-scale distributed workloads, batch and streaming pipelines, and implement robust monitoring solutions. Collaborate with architects, consultants, and client stakeholders to help businesses unlock the power of their data. Contribute to internal projects and ongoing training to expand your expertise. What We're Looking For Experience building data pipelines using Spark or Pandas . Familiarity with major cloud platforms (AWS, Azure, or GCP). Understanding of big data tools (EMR, Databricks, DataProc). Knowledge of data architectures (Data Lakes, Warehouses, Mesh). A proactive mindset with a passion for learning new technologies. Nice-to-Have Skills Automated data quality checks and metrics. CI/CD pipeline experience (GitHub Actions, Azure DevOps, Jenkins, etc.). Exposure to machine learning productionisation. Infrastructure as Code (Terraform, CloudFormation). Data visualisation tools (Power BI, Tableau, Qlik). Benefits Competitive salary and benefits package. Flexible hybrid working (3 days onsite). Career development opportunities in an entrepreneurial environment. Support for those returning from a career break.
Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python and SQL, with experience in spatial SQL and PostGIS. Familiarity with spatial tools and libraries (GeoPandas, QGIS) and feature engineering concepts. Experience with data modelling, dbt, and version control (Git). Knowledge of spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
05/12/2025
Full time
Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python and SQL, with experience in spatial SQL and PostGIS. Familiarity with spatial tools and libraries (GeoPandas, QGIS) and feature engineering concepts. Experience with data modelling, dbt, and version control (Git). Knowledge of spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Head of AI & Machine Learning Remote (UK/EU) c. £120k + Equity High-Growth SaaS Scale-Up This fast-scaling SaaS business is building technology to help organisations make smarter, fairer workforce decisions. They are now looking for a Head of AI & Machine Learning to lead the evolution of their AI capabilities and shape the intelligence behind their platform. This is a hands-on leadership role: you'll set the AI strategy, design and scale production NLP and machine learning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This Head of AI & Machine Learning will Take ownership of the company's AI roadmap - from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and the leadership team. What this Head of AI & Machine Learning will bring: Deep experience in NLP / LLMs / semantic search / embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. Ability to translate technical work into clear product and business value. A pragmatic, delivery-focused mindset - comfortable in fast-moving, evolving environments. The tech environment: Python, PyTorch/TensorFlow, HuggingFace Transformers Semantic search / Embeddings / Vector DBs (e.g., FAISS, Pinecone, Weaviate) ML Ops tools (MLflow / Weights & Biases) AWS / Docker / Kubernetes If you're the Head of AI & Machine Learning we're looking for then we want to hear from you as soon as possible, get in touch quoting AP1164.
05/12/2025
Full time
Head of AI & Machine Learning Remote (UK/EU) c. £120k + Equity High-Growth SaaS Scale-Up This fast-scaling SaaS business is building technology to help organisations make smarter, fairer workforce decisions. They are now looking for a Head of AI & Machine Learning to lead the evolution of their AI capabilities and shape the intelligence behind their platform. This is a hands-on leadership role: you'll set the AI strategy, design and scale production NLP and machine learning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This Head of AI & Machine Learning will Take ownership of the company's AI roadmap - from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and the leadership team. What this Head of AI & Machine Learning will bring: Deep experience in NLP / LLMs / semantic search / embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. Ability to translate technical work into clear product and business value. A pragmatic, delivery-focused mindset - comfortable in fast-moving, evolving environments. The tech environment: Python, PyTorch/TensorFlow, HuggingFace Transformers Semantic search / Embeddings / Vector DBs (e.g., FAISS, Pinecone, Weaviate) ML Ops tools (MLflow / Weights & Biases) AWS / Docker / Kubernetes If you're the Head of AI & Machine Learning we're looking for then we want to hear from you as soon as possible, get in touch quoting AP1164.
VP - AI & Machine Learning Remote (UK/EU) c. £120k + Equity High-Growth SaaS Scale-Up This fast-scaling SaaS business is building technology to help organisations make smarter, fairer workforce decisions. They are now looking for a VP of AI & Machine Learning to lead the evolution of their AI capabilities and shape the intelligence behind their platform. This is a hands-on leadership role: you'll set the AI strategy, design and scale production NLP and machine learning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This VP of AI & Machine Learning will Take ownership of the company's AI roadmap - from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and the leadership team. What this VP of AI & Machine Learning will bring: Deep experience in NLP / LLMs / semantic search / embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. Ability to translate technical work into clear product and business value. A pragmatic, delivery-focused mindset - comfortable in fast-moving, evolving environments. The tech environment: Python, PyTorch/TensorFlow, HuggingFace Transformers Semantic search / Embeddings / Vector DBs (e.g., FAISS, Pinecone, Weaviate) ML Ops tools (MLflow / Weights & Biases) AWS / Docker / Kubernetes If you're the VP of AI & Machine Learning we're looking for then we want to hear from you as soon as possible, get in touch quoting AP1164.
05/12/2025
Full time
VP - AI & Machine Learning Remote (UK/EU) c. £120k + Equity High-Growth SaaS Scale-Up This fast-scaling SaaS business is building technology to help organisations make smarter, fairer workforce decisions. They are now looking for a VP of AI & Machine Learning to lead the evolution of their AI capabilities and shape the intelligence behind their platform. This is a hands-on leadership role: you'll set the AI strategy, design and scale production NLP and machine learning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This VP of AI & Machine Learning will Take ownership of the company's AI roadmap - from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and the leadership team. What this VP of AI & Machine Learning will bring: Deep experience in NLP / LLMs / semantic search / embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. Ability to translate technical work into clear product and business value. A pragmatic, delivery-focused mindset - comfortable in fast-moving, evolving environments. The tech environment: Python, PyTorch/TensorFlow, HuggingFace Transformers Semantic search / Embeddings / Vector DBs (e.g., FAISS, Pinecone, Weaviate) ML Ops tools (MLflow / Weights & Biases) AWS / Docker / Kubernetes If you're the VP of AI & Machine Learning we're looking for then we want to hear from you as soon as possible, get in touch quoting AP1164.
We're seeking a Lead Data Engineer to design and deliver scalable data and AI solutions across internal and client projects. You'll own the full data lifecycle - from ingestion and processing to deployment and monitoring of machine learning models - while leading a small, high-performing team. What You'll Do Build and maintain data pipelines and cloud infrastructure (AWS / GCP). Develop AI-driven applications including LLM tools, RAG pipelines, and automation solutions. Lead on client communication , project delivery, and stakeholder alignment. Collaborate with Data Science and Analytics teams to improve data access, automation, and governance. Drive innovation through proofs-of-concept , model monitoring , and adoption of emerging AI tech. What We're Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving skills. Passion for innovation and ethical, scalable AI. Nice to Have Experience in digital marketing or web development (PHP, HTML, JS). Familiarity with LangChain , RAGAS , or similar frameworks.
05/12/2025
Full time
We're seeking a Lead Data Engineer to design and deliver scalable data and AI solutions across internal and client projects. You'll own the full data lifecycle - from ingestion and processing to deployment and monitoring of machine learning models - while leading a small, high-performing team. What You'll Do Build and maintain data pipelines and cloud infrastructure (AWS / GCP). Develop AI-driven applications including LLM tools, RAG pipelines, and automation solutions. Lead on client communication , project delivery, and stakeholder alignment. Collaborate with Data Science and Analytics teams to improve data access, automation, and governance. Drive innovation through proofs-of-concept , model monitoring , and adoption of emerging AI tech. What We're Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving skills. Passion for innovation and ethical, scalable AI. Nice to Have Experience in digital marketing or web development (PHP, HTML, JS). Familiarity with LangChain , RAGAS , or similar frameworks.
Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits A fast-growing Data & AI company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you'll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices in model deployment, evaluation, and optimisation. What we're looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and providing an environment to learn on the job. If you want to lead AI innovation from concept to impact and be part of a team shaping the future of intelligent systems, apply now. Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits ML, Agentic AI, NLP, Generative AI, Python, Leadership
05/12/2025
Full time
Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits A fast-growing Data & AI company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you'll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices in model deployment, evaluation, and optimisation. What we're looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and providing an environment to learn on the job. If you want to lead AI innovation from concept to impact and be part of a team shaping the future of intelligent systems, apply now. Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits ML, Agentic AI, NLP, Generative AI, Python, Leadership
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
05/12/2025
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
