Build a brilliant future with Hiscox. As a Principal Data Scientist you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will transform underwriting capabilities and extend through the entire insurance value chain, championing a multi-disciplinary approach to complex problem solving. You will lead the end to end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You will mentor and coach junior and mid level colleagues, elevate the overall team capability, and collaborate extensively with other disciplines to maximise business value. Key Responsibilities Utilise industry standards, emerging methodologies and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end to end delivery of our most complex data science initiatives, encompassing strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands on technical mentorship and guidance to junior and mid level data scientists, fostering best practices, elevating technical standards and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production grade data science solutions. Background in data science within finance or insurance advantageous but not required. Demonstrated capacity for independent, high quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non technical stakeholders to drive data driven decision making and solution adoption. Demonstrable experience collaborating effectively with cross functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning and AI driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry leading AI, data, and analytics techniques, methodologies, and engineering best practices.
26/07/2026
Full time
Build a brilliant future with Hiscox. As a Principal Data Scientist you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will transform underwriting capabilities and extend through the entire insurance value chain, championing a multi-disciplinary approach to complex problem solving. You will lead the end to end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You will mentor and coach junior and mid level colleagues, elevate the overall team capability, and collaborate extensively with other disciplines to maximise business value. Key Responsibilities Utilise industry standards, emerging methodologies and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end to end delivery of our most complex data science initiatives, encompassing strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands on technical mentorship and guidance to junior and mid level data scientists, fostering best practices, elevating technical standards and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production grade data science solutions. Background in data science within finance or insurance advantageous but not required. Demonstrated capacity for independent, high quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non technical stakeholders to drive data driven decision making and solution adoption. Demonstrable experience collaborating effectively with cross functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning and AI driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry leading AI, data, and analytics techniques, methodologies, and engineering best practices.
Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. EEO Know Your Rights.
25/07/2026
Full time
Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. EEO Know Your Rights.
Systems Engineer IIIApplylocations: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R115706 Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
25/07/2026
Full time
Systems Engineer IIIApplylocations: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R115706 Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role This role spans the full early career range. We are hiring new graduates as well as engineers with up to five years of professional experience. If you are a few years in and looking for stronger mentorship, a more technically serious codebase, or a clearer growth path than your current role offers, this posting is for you. Your experience will be reflected in your level, scope, and compensation at offer. You join a delivery team and start writing production code immediately. You build software with your team that oil and gas operators use every day for real decisions. You debug issues in systems that connect to live data, write features that operators depend on, and learn how professional software teams ship quality code at scale. You receive regular guidance from experienced engineers and participate in code reviews from the start. Over time, you grow your technical skills and your understanding of the product domain, and you build the habits that make an engineer effective over the long term. We hire for potential and train for success. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoD What You Will Do Build, test, and ship features for products in active use by energy companies worldwide. Debug and fix defects in production systems, learning how large scale applications behave under real conditions. Write and maintain automated tests as part of the team's standard delivery workflow. Participate in code reviews: read your teammates' code, receive feedback on yours, and learn the codebase through both activities. Follow secure coding practices, triage security issues when they arise, and apply fixes to deliver secure applications. Contribute to technical documentation for the systems and features you work on. Work within a distributed team across time zones, communicating clearly and consistently about your progress and blockers. Research and evaluate open source tools and libraries that can improve the systems you work on. Grow your understanding of the product domain through the work itself. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience. Minimum of 3 years of software development experience. Working knowledge of at least one modern programming language and standard development tooling (version control, build systems, testing frameworks). Preferred Experience contributing to a shared codebase with other engineers. Exposure to cloud platforms (Azure, AWS), web application development, or data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real time systems, large scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role is technically curious and takes their craft seriously. Whether you are writing your first production code or already have a few years behind you, you pick up new tools and techniques quickly, ask good questions when you are unsure, and follow through on the tasks you own. You treat code reviews as a place to both learn and contribute, and you communicate clearly with teammates across time zones. Minimum Qualifications Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Software Engineer to Senior. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 209983 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Additional Locations for this position Compensation Information Compensation is competitive and commensurate with experience.
25/07/2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role This role spans the full early career range. We are hiring new graduates as well as engineers with up to five years of professional experience. If you are a few years in and looking for stronger mentorship, a more technically serious codebase, or a clearer growth path than your current role offers, this posting is for you. Your experience will be reflected in your level, scope, and compensation at offer. You join a delivery team and start writing production code immediately. You build software with your team that oil and gas operators use every day for real decisions. You debug issues in systems that connect to live data, write features that operators depend on, and learn how professional software teams ship quality code at scale. You receive regular guidance from experienced engineers and participate in code reviews from the start. Over time, you grow your technical skills and your understanding of the product domain, and you build the habits that make an engineer effective over the long term. We hire for potential and train for success. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoD What You Will Do Build, test, and ship features for products in active use by energy companies worldwide. Debug and fix defects in production systems, learning how large scale applications behave under real conditions. Write and maintain automated tests as part of the team's standard delivery workflow. Participate in code reviews: read your teammates' code, receive feedback on yours, and learn the codebase through both activities. Follow secure coding practices, triage security issues when they arise, and apply fixes to deliver secure applications. Contribute to technical documentation for the systems and features you work on. Work within a distributed team across time zones, communicating clearly and consistently about your progress and blockers. Research and evaluate open source tools and libraries that can improve the systems you work on. Grow your understanding of the product domain through the work itself. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience. Minimum of 3 years of software development experience. Working knowledge of at least one modern programming language and standard development tooling (version control, build systems, testing frameworks). Preferred Experience contributing to a shared codebase with other engineers. Exposure to cloud platforms (Azure, AWS), web application development, or data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real time systems, large scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role is technically curious and takes their craft seriously. Whether you are writing your first production code or already have a few years behind you, you pick up new tools and techniques quickly, ask good questions when you are unsure, and follow through on the tasks you own. You treat code reviews as a place to both learn and contribute, and you communicate clearly with teammates across time zones. Minimum Qualifications Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Software Engineer to Senior. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 209983 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Additional Locations for this position Compensation Information Compensation is competitive and commensurate with experience.
About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role This role spans the full early-career range. We are hiring new graduates as well as engineers with up to five years of professional experience. If you are a few years in and looking for stronger mentorship, a more technically serious codebase, or a clearer growth path than your current role offers, this posting is for you. Your experience will be reflected in your level, scope, and compensation at offer. You join a delivery team and start writing production code immediately. You build software with your team that oil and gas operators use every day for real decisions. You debug issues in systems that connect to live data, write features that operators depend on, and learn how professional software teams ship quality code at scale. You receive regular guidance from experienced engineers and participate in code reviews from the start. Over time, you grow your technical skills and your understanding of the product domain, and you build the habits that make an engineer effective over the long term. We hire for potential and train for success. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Build, test, and ship features for products in active use by energy companies worldwide Debug and fix defects in production systems, learning how large-scale applications behave under real conditions Write and maintain automated tests as part of the team's standard delivery workflow Participate in code reviews: read your teammates' code, receive feedback on yours, and learn the codebase through both activities Follow secure coding practices, triage security issues when they arise, and apply fixes to deliver secure applications Contribute to technical documentation for the systems and features you work on Work within a distributed team across time zones, communicating clearly and consistently about your progress and blockers Research and evaluate open-source tools and libraries that can improve the systems you work on Grow your understanding of the product domain through the work itself Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience Minimum of 3 years of software development experience Working knowledge of at least one modern programming language and standard development tooling (version control, build systems, testing frameworks) Preferred Experience contributing to a shared codebase with other engineers Exposure to cloud platforms (Azure, AWS), web application development, or data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role is technically curious and takes their craft seriously. Whether you are writing your first production code or already have a few years behind you, you pick up new tools and techniques quickly, ask good questions when you are unsure, and follow through on the tasks you own. You treat code reviews as a place to both learn and contribute, and you communicate clearly with teammates across time zones. Equal Opportunity Employer Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
25/07/2026
Full time
About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role This role spans the full early-career range. We are hiring new graduates as well as engineers with up to five years of professional experience. If you are a few years in and looking for stronger mentorship, a more technically serious codebase, or a clearer growth path than your current role offers, this posting is for you. Your experience will be reflected in your level, scope, and compensation at offer. You join a delivery team and start writing production code immediately. You build software with your team that oil and gas operators use every day for real decisions. You debug issues in systems that connect to live data, write features that operators depend on, and learn how professional software teams ship quality code at scale. You receive regular guidance from experienced engineers and participate in code reviews from the start. Over time, you grow your technical skills and your understanding of the product domain, and you build the habits that make an engineer effective over the long term. We hire for potential and train for success. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Build, test, and ship features for products in active use by energy companies worldwide Debug and fix defects in production systems, learning how large-scale applications behave under real conditions Write and maintain automated tests as part of the team's standard delivery workflow Participate in code reviews: read your teammates' code, receive feedback on yours, and learn the codebase through both activities Follow secure coding practices, triage security issues when they arise, and apply fixes to deliver secure applications Contribute to technical documentation for the systems and features you work on Work within a distributed team across time zones, communicating clearly and consistently about your progress and blockers Research and evaluate open-source tools and libraries that can improve the systems you work on Grow your understanding of the product domain through the work itself Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience Minimum of 3 years of software development experience Working knowledge of at least one modern programming language and standard development tooling (version control, build systems, testing frameworks) Preferred Experience contributing to a shared codebase with other engineers Exposure to cloud platforms (Azure, AWS), web application development, or data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role is technically curious and takes their craft seriously. Whether you are writing your first production code or already have a few years behind you, you pick up new tools and techniques quickly, ask good questions when you are unsure, and follow through on the tasks you own. You treat code reviews as a place to both learn and contribute, and you communicate clearly with teammates across time zones. Equal Opportunity Employer Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development:Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering:Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment:Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation:Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration:Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation:Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
25/07/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development:Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering:Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment:Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation:Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration:Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation:Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Founded in 2018, Causaly's AI platform for enterprise scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About the team We're hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one stop shop for a researcher's needs. We're looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day to day exploration. What you'll be doing Design and implement ML/AI solutions end to end, from the idea and data exploration phase to deployment and monitoring, balancing cutting edge techniques with pragmatism to deliver measurable impact. Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM based solutions, and agentic solutions to balance trade offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user facing features powered by AI. Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration. Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real world performance tracking. Mentor junior AI engineers and cross functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high trust, high performance team culture. Stay up to date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities. Contribute to a culture of knowledge sharing, through company wide Slack channels, Show and Tell presentations and technical deep dives. What experience you'll need to be successful A master's degree or above in Computer Science, Electrical Engineering or a related field. 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine tuning. Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. Experience working in product focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively. Ability to reason about system behavior end to end, including model performance, latency, and observability, and how these impact user experience. Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. Not required, but it's a plus if you also have: Experience with MLOps/LLMOps frameworks and best practices A PhD in Computer Science, Electrical Engineering or a related field. A background or work experience in life sciences, health tech, or other data intensive domains Benefits Competitive compensation package Private medical & dental insurance Life insurance (4 x salary) Personal development budget Individual wellbeing budget 25 days holiday plus bank holidays Your birthday off! Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product. We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
25/07/2026
Full time
Founded in 2018, Causaly's AI platform for enterprise scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About the team We're hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one stop shop for a researcher's needs. We're looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day to day exploration. What you'll be doing Design and implement ML/AI solutions end to end, from the idea and data exploration phase to deployment and monitoring, balancing cutting edge techniques with pragmatism to deliver measurable impact. Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM based solutions, and agentic solutions to balance trade offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user facing features powered by AI. Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration. Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real world performance tracking. Mentor junior AI engineers and cross functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high trust, high performance team culture. Stay up to date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities. Contribute to a culture of knowledge sharing, through company wide Slack channels, Show and Tell presentations and technical deep dives. What experience you'll need to be successful A master's degree or above in Computer Science, Electrical Engineering or a related field. 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine tuning. Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. Experience working in product focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively. Ability to reason about system behavior end to end, including model performance, latency, and observability, and how these impact user experience. Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. Not required, but it's a plus if you also have: Experience with MLOps/LLMOps frameworks and best practices A PhD in Computer Science, Electrical Engineering or a related field. A background or work experience in life sciences, health tech, or other data intensive domains Benefits Competitive compensation package Private medical & dental insurance Life insurance (4 x salary) Personal development budget Individual wellbeing budget 25 days holiday plus bank holidays Your birthday off! Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product. We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
Spear Bio, founded in 2021, is a well-funded and rapidly growing biotech start-up headquartered in Woburn, Massachusetts. Our proprietary technology, Successive Proximity Extension Amplification Reaction (SPEAR), is an novel wash free immunoassay platform, offering unprecedented sensitivity. We are dedicated to revolutionizing early disease diagnosis and monitoring by providing scalable, ultrasensitive solutions that deliver unparalleled accuracy in measuring low abundant biomarkers, enabling clinicians and researchers to improve patient outcomes and advance global health. Position Summary Spear Bio is seeking top performing Business Development Managers to introduce our high performance and expanding portfolio of ultra sensitive Immunoassays to the Life Sciences and CRO markets throughout the EMEA region. We are looking to hire individuals based in Europe (ie. London, Germany) with a deep network of neurodegenerative disease research customers in Big Pharma, Biotech, CROs, & Academia throughout EMEA. Key Responsibilities Deliver sales presentations to clients to promote the value proposition of Spear Bio. Demonstrate deep understanding of Neuroscience market dynamics and technology adoption which positions and drives confidence in Spear Bio customers that we are a superior, best in class solution. Promote our kit sales by providing various instrument and Assay Service solutions to generate ongoing market adoption and revenue growth. Provide a funnel to be managed by senior Business Development Managers. Be on point for all customer logistics and follow up: Demos, information sharing, and other key technical details requested to engage our customers. Utilize your existing network of high level scientific customers within Big Pharma, Biotech, CROs, & Academic market segments, as well as knowledge of IVD markets including LDTs. Achieve a consistent track record exceeding quotas, revenue targets, and increasing market share in your primary territory/region. Provide technical support to many of our Key Opinion Leaders throughout EMEA. Work closely with our internal Marketing team in the US and contribute to driving lead generation programs that can enhance our outreach in all regions. Work closely with our Custom Assay Services leader to support funnel building of this area, as well as provide Voice of Customer (VOC) feedback to our R&D teams on market dynamics gained with our commercial activity. Jointly build a sales plan with personal and professional goals that will provide the best metrics for success in this role throughout the region. Provide regular updates on activity, forecasting, and funnel movement to assist in the transparency of activity driving strong revenue outcomes. Apply ongoing insight on competitive landscape to develop strategies enabling Spear Bio to win in a competitive market where we have a strong scientific advantage. Approximately 30-40% travel expected directly with customers and/or partners to achieve the sales results expected. Required Qualifications MS or PhD in Biology, Biochemistry, Bioengineering, or related field with 6-12+ years of an established track record in technical sales or business development, presenting ultrasensitive immunoassays or neurology IVD products to customers. Clear and pro active communicator with advanced commercial sales acumen, high energy, a strong work ethic, and a bias for action. Ability to ask the right questions of potential customers to then strategically communicate how Spear Bio's differentiated technology and performance will directly benefit them over the competition. Ability to clearly present technology solutions in a way that leads to strong revenue outcomes. Ability to translate observations and customer feedback into strategy. Comfortable providing and receiving feedback designed to improve engagement and results. Ability to collaborate within a best in class team environment comprised of Field Application Scientists, Assay Services, and others. Willingness to travel up to 30-40% for customer engagement and industry events. We offer competitive compensation, meaningful stock ownership, comprehensive benefits, and a great work environment. This is an opportunity to enter an innovative, high growth startup at an early stage and play an integral role in the company's growth and success. We are focused on identifying candidates who have demonstrated leadership and excellence throughout their careers and are excited by the prospect of building an industry leading company. Spear Bio Inc. provides equal opportunity in employment to all persons. No person shall be denied equal access because of race, creed, color, religion, national origin, sex, sexual orientation, gender identity, age, or physical/mental disability. Spear Bio does not accept resume submissions from external recruiting agencies. Any unsolicited resumes or candidate information submitted without prior written agreement will be deemed the property of Spear Bio, and no placement fees will be paid.
25/07/2026
Full time
Spear Bio, founded in 2021, is a well-funded and rapidly growing biotech start-up headquartered in Woburn, Massachusetts. Our proprietary technology, Successive Proximity Extension Amplification Reaction (SPEAR), is an novel wash free immunoassay platform, offering unprecedented sensitivity. We are dedicated to revolutionizing early disease diagnosis and monitoring by providing scalable, ultrasensitive solutions that deliver unparalleled accuracy in measuring low abundant biomarkers, enabling clinicians and researchers to improve patient outcomes and advance global health. Position Summary Spear Bio is seeking top performing Business Development Managers to introduce our high performance and expanding portfolio of ultra sensitive Immunoassays to the Life Sciences and CRO markets throughout the EMEA region. We are looking to hire individuals based in Europe (ie. London, Germany) with a deep network of neurodegenerative disease research customers in Big Pharma, Biotech, CROs, & Academia throughout EMEA. Key Responsibilities Deliver sales presentations to clients to promote the value proposition of Spear Bio. Demonstrate deep understanding of Neuroscience market dynamics and technology adoption which positions and drives confidence in Spear Bio customers that we are a superior, best in class solution. Promote our kit sales by providing various instrument and Assay Service solutions to generate ongoing market adoption and revenue growth. Provide a funnel to be managed by senior Business Development Managers. Be on point for all customer logistics and follow up: Demos, information sharing, and other key technical details requested to engage our customers. Utilize your existing network of high level scientific customers within Big Pharma, Biotech, CROs, & Academic market segments, as well as knowledge of IVD markets including LDTs. Achieve a consistent track record exceeding quotas, revenue targets, and increasing market share in your primary territory/region. Provide technical support to many of our Key Opinion Leaders throughout EMEA. Work closely with our internal Marketing team in the US and contribute to driving lead generation programs that can enhance our outreach in all regions. Work closely with our Custom Assay Services leader to support funnel building of this area, as well as provide Voice of Customer (VOC) feedback to our R&D teams on market dynamics gained with our commercial activity. Jointly build a sales plan with personal and professional goals that will provide the best metrics for success in this role throughout the region. Provide regular updates on activity, forecasting, and funnel movement to assist in the transparency of activity driving strong revenue outcomes. Apply ongoing insight on competitive landscape to develop strategies enabling Spear Bio to win in a competitive market where we have a strong scientific advantage. Approximately 30-40% travel expected directly with customers and/or partners to achieve the sales results expected. Required Qualifications MS or PhD in Biology, Biochemistry, Bioengineering, or related field with 6-12+ years of an established track record in technical sales or business development, presenting ultrasensitive immunoassays or neurology IVD products to customers. Clear and pro active communicator with advanced commercial sales acumen, high energy, a strong work ethic, and a bias for action. Ability to ask the right questions of potential customers to then strategically communicate how Spear Bio's differentiated technology and performance will directly benefit them over the competition. Ability to clearly present technology solutions in a way that leads to strong revenue outcomes. Ability to translate observations and customer feedback into strategy. Comfortable providing and receiving feedback designed to improve engagement and results. Ability to collaborate within a best in class team environment comprised of Field Application Scientists, Assay Services, and others. Willingness to travel up to 30-40% for customer engagement and industry events. We offer competitive compensation, meaningful stock ownership, comprehensive benefits, and a great work environment. This is an opportunity to enter an innovative, high growth startup at an early stage and play an integral role in the company's growth and success. We are focused on identifying candidates who have demonstrated leadership and excellence throughout their careers and are excited by the prospect of building an industry leading company. Spear Bio Inc. provides equal opportunity in employment to all persons. No person shall be denied equal access because of race, creed, color, religion, national origin, sex, sexual orientation, gender identity, age, or physical/mental disability. Spear Bio does not accept resume submissions from external recruiting agencies. Any unsolicited resumes or candidate information submitted without prior written agreement will be deemed the property of Spear Bio, and no placement fees will be paid.
hackajob is collaborating with Third Bridge Group to connect them with exceptional professionals for this role. Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights. We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About The Role As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof-of-concept (PoC) solutions - from new dataset pipelines and ML models to AI-powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities Design and build PoC solutions with a clear 'ship-or-kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net-new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python-based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI-assisted internal tools - including applications leveraging LLM APIs, embedding-based search, and retrieval-augmented generation (RAG) - to demonstrate near-term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well-documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production-readiness, with the discipline to define 'ship-or-kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade-offs clearly to both technical peers and non-technical stakeholders. Qualifications Desired Attributes Exceptional problem-solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content-rich or document-heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech-agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM-backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content-rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and "Summer Fridays" Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.
24/07/2026
Full time
hackajob is collaborating with Third Bridge Group to connect them with exceptional professionals for this role. Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights. We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About The Role As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof-of-concept (PoC) solutions - from new dataset pipelines and ML models to AI-powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities Design and build PoC solutions with a clear 'ship-or-kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net-new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python-based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI-assisted internal tools - including applications leveraging LLM APIs, embedding-based search, and retrieval-augmented generation (RAG) - to demonstrate near-term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well-documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production-readiness, with the discipline to define 'ship-or-kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade-offs clearly to both technical peers and non-technical stakeholders. Qualifications Desired Attributes Exceptional problem-solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content-rich or document-heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech-agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM-backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content-rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and "Summer Fridays" Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.
Principal Data Scientist & Machine Learning Researcher Gloucester London Manchester Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions. Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques. We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site). Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance. The Opportunity As a Senior Data Scientist & Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment. You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&D programmes. This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain. Key Responsibilities Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy. Lead technical investigations, research activities and AI/ML development across customer and internal projects. Identify innovative approaches to solving complex technical challenges and contribute to future research directions. Provide technical leadership within project teams and support successful project delivery. Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions. Mentor and support junior team members, helping to develop technical capability across the wider team. Communicate complex technical concepts clearly to both technical and non-technical audiences. Essential Skills & Experience Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline. Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch. Proven experience delivering machine learning solutions within commercial, research or government environments. Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision. Experience training, fine-tuning and evaluating machine learning and AI models. Ability to undertake technical research and apply findings to real-world challenges. Experience producing high-quality technical documentation, reports or research publications. Previous experience mentoring team members and providing technical leadership. Desirable Skills & Experience MSc or PhD with a strong research background. Experience developing and maintaining robust ML pipelines and MLOps practices. Familiarity with version control, containerisation and environment management tools, including Git and Docker. Experience working within Linux environments and using command-line tooling. Experience deploying and scaling AI/ML solutions into production environments. Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable. Published research in peer-reviewed journals or conferences. Experience writing technical proposals, bids or research funding submissions. What's on Offer Opportunity to work on highly complex and meaningful national security challenges. Exposure to cutting-edge AI, Machine Learning and Data Science projects. Collaborative environment with experienced researchers, engineers and technical specialists. Clear opportunities for technical development, leadership and career progression. Hybrid working with locations in Gloucester, Manchester or London. Benefits Competitive salary and excellent benefits eDV bonus on top of salary and annual bonus Company bonus scheme Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days
23/07/2026
Full time
Principal Data Scientist & Machine Learning Researcher Gloucester London Manchester Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions. Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques. We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site). Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance. The Opportunity As a Senior Data Scientist & Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment. You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&D programmes. This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain. Key Responsibilities Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy. Lead technical investigations, research activities and AI/ML development across customer and internal projects. Identify innovative approaches to solving complex technical challenges and contribute to future research directions. Provide technical leadership within project teams and support successful project delivery. Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions. Mentor and support junior team members, helping to develop technical capability across the wider team. Communicate complex technical concepts clearly to both technical and non-technical audiences. Essential Skills & Experience Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline. Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch. Proven experience delivering machine learning solutions within commercial, research or government environments. Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision. Experience training, fine-tuning and evaluating machine learning and AI models. Ability to undertake technical research and apply findings to real-world challenges. Experience producing high-quality technical documentation, reports or research publications. Previous experience mentoring team members and providing technical leadership. Desirable Skills & Experience MSc or PhD with a strong research background. Experience developing and maintaining robust ML pipelines and MLOps practices. Familiarity with version control, containerisation and environment management tools, including Git and Docker. Experience working within Linux environments and using command-line tooling. Experience deploying and scaling AI/ML solutions into production environments. Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable. Published research in peer-reviewed journals or conferences. Experience writing technical proposals, bids or research funding submissions. What's on Offer Opportunity to work on highly complex and meaningful national security challenges. Exposure to cutting-edge AI, Machine Learning and Data Science projects. Collaborative environment with experienced researchers, engineers and technical specialists. Clear opportunities for technical development, leadership and career progression. Hybrid working with locations in Gloucester, Manchester or London. Benefits Competitive salary and excellent benefits eDV bonus on top of salary and annual bonus Company bonus scheme Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days
C++ AI/ML Software Engineer C++ AI/ML Software Engineer - HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will design, develop, and optimise AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection and intelligent threat prevention. You will work as part of a highly collaborative engineering team, bridging the gap between cutting edge machine learning research and production grade security software. We offer a comprehensive benefits package and excellent career development opportunities. Visit our technical blogs: Responsibilities Design, develop and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability and resource utilisation on endpoint devices. Develop data processing, evaluation and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Requirements Strong proficiency in modern C++ design, development, debugging, testing and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving and software engineering skills. Experience working with Python for machine learning workflows, automation or tooling. Understanding of software development lifecycle, testing methodologies and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering or equivalent experience. Exposure to machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime or similar. Experience with AI model deployment, optimisation and inference in production environments. Experience with data processing, feature engineering and model evaluation techniques. Experience or understanding of security, cybersecurity or threat detection applications of AI/ML. Experience with Large Language Models, Generative AI or AI assisted security technologies. High performance, multi threaded or systems level C++ development experience. Experience with cloud based AI/ML services and MLOps practices. Linux and Windows platform development experience. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. Regular in person collaboration is encouraged. Benefits We offer a comprehensive benefits package and excellent career development opportunities. Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, colour, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state and local law(s). You will not be subject to any adverse treatment if you choose to disclose the information requested. This information is kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law.
23/07/2026
Full time
C++ AI/ML Software Engineer C++ AI/ML Software Engineer - HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will design, develop, and optimise AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection and intelligent threat prevention. You will work as part of a highly collaborative engineering team, bridging the gap between cutting edge machine learning research and production grade security software. We offer a comprehensive benefits package and excellent career development opportunities. Visit our technical blogs: Responsibilities Design, develop and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability and resource utilisation on endpoint devices. Develop data processing, evaluation and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Requirements Strong proficiency in modern C++ design, development, debugging, testing and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving and software engineering skills. Experience working with Python for machine learning workflows, automation or tooling. Understanding of software development lifecycle, testing methodologies and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering or equivalent experience. Exposure to machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime or similar. Experience with AI model deployment, optimisation and inference in production environments. Experience with data processing, feature engineering and model evaluation techniques. Experience or understanding of security, cybersecurity or threat detection applications of AI/ML. Experience with Large Language Models, Generative AI or AI assisted security technologies. High performance, multi threaded or systems level C++ development experience. Experience with cloud based AI/ML services and MLOps practices. Linux and Windows platform development experience. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. Regular in person collaboration is encouraged. Benefits We offer a comprehensive benefits package and excellent career development opportunities. Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, colour, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state and local law(s). You will not be subject to any adverse treatment if you choose to disclose the information requested. This information is kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law.
Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Benefits We are delighted to offer country specific benefits. Equal Opportunity We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
23/07/2026
Full time
Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Benefits We are delighted to offer country specific benefits. Equal Opportunity We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting edge, production grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Support, govern and enable company wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands on enough to solve complex engineering bottlenecks; you will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production ready multi agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation. Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect. Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof of concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Experience AI Orchestration & Development: Expert level experience building complex LLM powered systems and multi agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem solving. Technical Expertise & Tools Python: Advanced, production grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large scale BigQuery environments. Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to if you need anything Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out.
23/07/2026
Full time
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting edge, production grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Support, govern and enable company wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands on enough to solve complex engineering bottlenecks; you will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production ready multi agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation. Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect. Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof of concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Experience AI Orchestration & Development: Expert level experience building complex LLM powered systems and multi agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem solving. Technical Expertise & Tools Python: Advanced, production grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large scale BigQuery environments. Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to if you need anything Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out.
Senior Data Scientist & Machine Learning Researcher Benefits £:Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team. Cyber Our National Security Cyber business delivers mission critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today. What You Will Do Raytheon UK has a perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG). As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. The Strategic Research Group (SRG) is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. You can be based with our Gloucester, Manchester or London team, working in a hybrid capacity (average of 3 days a week on-site). You must already hold or be able to gain SC clearance (on Day 1) and eDV clearance (once started). Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Mentor more junior team members within their project team and the wider SRG. Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery. Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high quality scientific writing for internal & external stakeholders as well as academic publications. Experience of mentoring other team members and undertaking technical leadership on small projects or sub parts of larger deliveries. Desirable Skills & Experience PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, preferably AWS but also GCP or Azure. Research publications in peer reviewed journals. Experience of writing technical project proposals RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
22/07/2026
Full time
Senior Data Scientist & Machine Learning Researcher Benefits £:Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team. Cyber Our National Security Cyber business delivers mission critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today. What You Will Do Raytheon UK has a perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG). As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. The Strategic Research Group (SRG) is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. You can be based with our Gloucester, Manchester or London team, working in a hybrid capacity (average of 3 days a week on-site). You must already hold or be able to gain SC clearance (on Day 1) and eDV clearance (once started). Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Mentor more junior team members within their project team and the wider SRG. Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery. Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high quality scientific writing for internal & external stakeholders as well as academic publications. Experience of mentoring other team members and undertaking technical leadership on small projects or sub parts of larger deliveries. Desirable Skills & Experience PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, preferably AWS but also GCP or Azure. Research publications in peer reviewed journals. Experience of writing technical project proposals RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Responsibilities Responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. Demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery. Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries. Core Competencies Demonstrates expertise in AI/ML project leadership, including the development of machine learning solutions and mentoring team members. Proficient in Python and familiar with advanced AI/ML algorithms, capable of producing high-quality scientific writing and delivering impactful research.
22/07/2026
Full time
Responsibilities Responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. Demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery. Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries. Core Competencies Demonstrates expertise in AI/ML project leadership, including the development of machine learning solutions and mentoring team members. Proficient in Python and familiar with advanced AI/ML algorithms, capable of producing high-quality scientific writing and delivering impactful research.
Segment (Twilio) HR team is seeking a data science and ML specialist to develop novel AI/ML projects from scoping to delivery, collaborating with senior members and stakeholders. You will research, prototype, and deliver data centric AI solutions for customer and internal initiatives, with autonomy within project groups. You will work on Generative AI, NLP and computer vision problems, train and refine models including LLMs, and communicate results to technical and non-technical audiences alike.
22/07/2026
Full time
Segment (Twilio) HR team is seeking a data science and ML specialist to develop novel AI/ML projects from scoping to delivery, collaborating with senior members and stakeholders. You will research, prototype, and deliver data centric AI solutions for customer and internal initiatives, with autonomy within project groups. You will work on Generative AI, NLP and computer vision problems, train and refine models including LLMs, and communicate results to technical and non-technical audiences alike.
Overview This role is within the Strategic Research Group (SRG), a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. You will be responsible for the technical development of AI/ML projects, working alongside more senior members, supporting projects from initial idea scoping right through to final project delivery in both customer and internal domains. You will demonstrate novel thinking, propose new ideas for solving challenging problems and communicate these ideas effectively to senior technical leaders to influence the technical direction of your projects. Responsibilities Develop novel data science solutions, contributing significantly to machine learning projects as part of a team, with guidance from seniors. Bring experience in developing and delivering data centric solutions. Undertake research and applied AI/ML tasks on customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ML/data science solutions to a broad range of defence problems. Work with senior group members, customers and stakeholders to determine technical approaches and carry out the required development. Present and demonstrate work internally and to senior stakeholders, adapting to audiences of varying technical expertise. Skills & Experience Essential BSc in Machine Learning, Data Science, Computer Science, Mathematics or a related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Experience delivering ML solutions to stakeholders. Good understanding of AI/ML algorithms for different data types and tasks, including Generative AI, NLP and computer vision, sufficient to undertake research beyond existing literature with some support. Experience training and developing AI models including Large Language Models. Ability to produce high quality scientific writing for internal and external publication. Problem solving with high levels of autonomy, with input from technical leaders. Self starter, proactive in finding solutions. Desirable PhD or Master's degree with experience in academic research. Experience using robust ML pipelines, appropriate version control and environment management (e.g., venvs or Docker). Working knowledge of Linux systems, basic command line functionality (e.g., AWS CLI, Docker CLI, ssh, ls, cd). Experience working in cloud, especially AWS, with equivalents such as GCP or Azure. Peer reviewed research publications. Comfortable following agile processes for project delivery. Experience delivering AI/ML projects in defence or government. Benefits Competitive salary. Contributory pension scheme (up to 10.5% company contribution). Six times salary 'Life Assurance' with pension. 25 days holiday (increasing with service) plus statutory public holidays and the opportunity to buy or sell up to 5 days (37 hr). Company bonus scheme (discretionary). Flexible benefits scheme with extensive salary sacrifice options, including health cashplan, dental, and cycle to work. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity and shared parental leave. 37 hour working week; weekday finish at 1.30 pm on Friday, early start to the weekend. Remote, hybrid and site based working opportunities depending on role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with formal flexible arrangements assessed on request. Equal Employment Opportunity RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
22/07/2026
Full time
Overview This role is within the Strategic Research Group (SRG), a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. You will be responsible for the technical development of AI/ML projects, working alongside more senior members, supporting projects from initial idea scoping right through to final project delivery in both customer and internal domains. You will demonstrate novel thinking, propose new ideas for solving challenging problems and communicate these ideas effectively to senior technical leaders to influence the technical direction of your projects. Responsibilities Develop novel data science solutions, contributing significantly to machine learning projects as part of a team, with guidance from seniors. Bring experience in developing and delivering data centric solutions. Undertake research and applied AI/ML tasks on customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ML/data science solutions to a broad range of defence problems. Work with senior group members, customers and stakeholders to determine technical approaches and carry out the required development. Present and demonstrate work internally and to senior stakeholders, adapting to audiences of varying technical expertise. Skills & Experience Essential BSc in Machine Learning, Data Science, Computer Science, Mathematics or a related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Experience delivering ML solutions to stakeholders. Good understanding of AI/ML algorithms for different data types and tasks, including Generative AI, NLP and computer vision, sufficient to undertake research beyond existing literature with some support. Experience training and developing AI models including Large Language Models. Ability to produce high quality scientific writing for internal and external publication. Problem solving with high levels of autonomy, with input from technical leaders. Self starter, proactive in finding solutions. Desirable PhD or Master's degree with experience in academic research. Experience using robust ML pipelines, appropriate version control and environment management (e.g., venvs or Docker). Working knowledge of Linux systems, basic command line functionality (e.g., AWS CLI, Docker CLI, ssh, ls, cd). Experience working in cloud, especially AWS, with equivalents such as GCP or Azure. Peer reviewed research publications. Comfortable following agile processes for project delivery. Experience delivering AI/ML projects in defence or government. Benefits Competitive salary. Contributory pension scheme (up to 10.5% company contribution). Six times salary 'Life Assurance' with pension. 25 days holiday (increasing with service) plus statutory public holidays and the opportunity to buy or sell up to 5 days (37 hr). Company bonus scheme (discretionary). Flexible benefits scheme with extensive salary sacrifice options, including health cashplan, dental, and cycle to work. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity and shared parental leave. 37 hour working week; weekday finish at 1.30 pm on Friday, early start to the weekend. Remote, hybrid and site based working opportunities depending on role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with formal flexible arrangements assessed on request. Equal Employment Opportunity RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Senior Machine Learning EngineerApplyremote type: This position is a hybrid of office/remote workinglocations: United Kingdom - Sunburytime type: Full timeposted on: Posted Todaytime left to apply: End Date: July 31, 2026 (13 days left to apply)job requisition id: RQ113368 Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Machine Learning Engineer who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems.This role goes beyond traditional ML engineering. You will apply machine learning science as a core field - developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value.You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities - translating complex scientific and business problems into deployable ML products. Key Responsibilities Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability). Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products - not limited to experimentation but extending through to production delivery and operational use. Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains. Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities. Architect and optimise ML systems for performance, scalability, and reliability in production environments. Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams. Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation). Present technical results, trade-offs, and product outcomes to peers and senior partners. Actively supply to improving developer velocity, engineering standards, and shared tooling. Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline). Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments. Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques - with a track record of applying these to build production-grade solutions. Applied knowledge of data science and ML tools across all stages of the data and model lifecycle. Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing. Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++). Advanced SQL knowledge. Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring. Knowledge of experimental design, analysis, and scientific methodology. Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail. Strong partner management and ability to influence across teams and organisations. Continuous learning and improvement mentality. Desired Experience with big data technologies (e.g. Hadoop, Hive, Spark). Experience with generative AI, LLMs, or retrieval-augmented generation (RAG). Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks. Experience applying machine learning and AI to scientific or R&D workflows - with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models). Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies. Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI. No prior experience in the energy industry required. What We Offer Complete by TA / HR with local benefits and compensation details Competitive compensation and benefits package. Opportunity to work on innovative ML and AI problems at global scale. A culture that values scientific rigour, engineering excellence, and continuous learning. Hybrid working arrangements and a commitment to work-life balance. Career development pathways in a world-class technology organisation.Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management + 5 more Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. About bp: Technology Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management.Working with us, you can do this by:• deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks
21/07/2026
Full time
Senior Machine Learning EngineerApplyremote type: This position is a hybrid of office/remote workinglocations: United Kingdom - Sunburytime type: Full timeposted on: Posted Todaytime left to apply: End Date: July 31, 2026 (13 days left to apply)job requisition id: RQ113368 Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Machine Learning Engineer who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems.This role goes beyond traditional ML engineering. You will apply machine learning science as a core field - developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value.You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities - translating complex scientific and business problems into deployable ML products. Key Responsibilities Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability). Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products - not limited to experimentation but extending through to production delivery and operational use. Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains. Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities. Architect and optimise ML systems for performance, scalability, and reliability in production environments. Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams. Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation). Present technical results, trade-offs, and product outcomes to peers and senior partners. Actively supply to improving developer velocity, engineering standards, and shared tooling. Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline). Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments. Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques - with a track record of applying these to build production-grade solutions. Applied knowledge of data science and ML tools across all stages of the data and model lifecycle. Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing. Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++). Advanced SQL knowledge. Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring. Knowledge of experimental design, analysis, and scientific methodology. Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail. Strong partner management and ability to influence across teams and organisations. Continuous learning and improvement mentality. Desired Experience with big data technologies (e.g. Hadoop, Hive, Spark). Experience with generative AI, LLMs, or retrieval-augmented generation (RAG). Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks. Experience applying machine learning and AI to scientific or R&D workflows - with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models). Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies. Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI. No prior experience in the energy industry required. What We Offer Complete by TA / HR with local benefits and compensation details Competitive compensation and benefits package. Opportunity to work on innovative ML and AI problems at global scale. A culture that values scientific rigour, engineering excellence, and continuous learning. Hybrid working arrangements and a commitment to work-life balance. Career development pathways in a world-class technology organisation.Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management + 5 more Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. About bp: Technology Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management.Working with us, you can do this by:• deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks
About the role This role is within the Strategic Research Group (SRG). The SRG is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems. You will communicate these ideas effectively to senior technical leaders to feed into the technical direction of your projects. Responsibilities Develop novel data science solutions, contributing significantly to machine learning projects as part of a team, with some guidance and direction from seniors. Bring experience in developing and delivering data centric solutions. Undertake research and applied AI/ML tasks on both customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ML/Data Science solutions to a broad range of problems in defence. Work with more senior group members, customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Skills & Experience - Essential BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors. Experience of training and developing AI models including Large Language Models.Ability to produce high quality scientific (academic style) writing for internal & external publication. Problem solve with high levels of autonomy, with some input from technical leaders. Be a self starter, being pro active in finding solutions. Skills & Experience - Desirable PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker). Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence or government. Benefits Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including HealthCashplan, Dental, and Cycle to Work amongst others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave Work Culture 37hr working week, although hours may vary depending on role, job require mentor site specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team. Equal Employment Opportunity Statement RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
21/07/2026
Full time
About the role This role is within the Strategic Research Group (SRG). The SRG is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems. You will communicate these ideas effectively to senior technical leaders to feed into the technical direction of your projects. Responsibilities Develop novel data science solutions, contributing significantly to machine learning projects as part of a team, with some guidance and direction from seniors. Bring experience in developing and delivering data centric solutions. Undertake research and applied AI/ML tasks on both customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ML/Data Science solutions to a broad range of problems in defence. Work with more senior group members, customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Skills & Experience - Essential BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors. Experience of training and developing AI models including Large Language Models.Ability to produce high quality scientific (academic style) writing for internal & external publication. Problem solve with high levels of autonomy, with some input from technical leaders. Be a self starter, being pro active in finding solutions. Skills & Experience - Desirable PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker). Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence or government. Benefits Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including HealthCashplan, Dental, and Cycle to Work amongst others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave Work Culture 37hr working week, although hours may vary depending on role, job require mentor site specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team. Equal Employment Opportunity Statement RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Systems Engineer IIIApplylocations: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R115706 Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
21/07/2026
Full time
Systems Engineer IIIApplylocations: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R115706 Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
