Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : Join our dynamic R&D teams in Cambridge and London, where you'll contribute to the development and enhancement of products driving our company's rapid growth.Please note this is a hybrid position that requires attendance in the Cambridge office at least 2 days a week. What will I be doing: As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace's services and offerings while balancing creativity, logical thinking and time constraints to implement novel features.You will collaborate with a cross-functional team of engineers, machine learning specialists and security researchers to create cutting-edge models and optimising solutions to improve both speed and scale. Other responsibilities will include but are not limited to: Contributing to projects ranging from rapid prototyping of new ideas to optimising runtime and memory usage of existing models, Advancing our unique methodology for defending against unknown cyber-attacks, Embracing innovation and creativity in your approach, alongside traditional project-based development, Developing core competencies in various technology stacks, with opportunities to specialize in specific domains. What experience do I need: We seek engineers with a solution-focused mindset and an analytical approach to problem-solving. During the interview process, you'll demonstrate your programming skills and your ability to write production-quality Python code. Additionally, you should be: Comfortable working autonomously and making independent decisions, while also being able to collaborate effectively within a team, Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime) Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas), Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential), Experienced with Rust, specifically the ort crate (beneficial but not essential) Interested in cyber security and willing to learn more. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.
Aug 02, 2026
Full time
Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : Join our dynamic R&D teams in Cambridge and London, where you'll contribute to the development and enhancement of products driving our company's rapid growth.Please note this is a hybrid position that requires attendance in the Cambridge office at least 2 days a week. What will I be doing: As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace's services and offerings while balancing creativity, logical thinking and time constraints to implement novel features.You will collaborate with a cross-functional team of engineers, machine learning specialists and security researchers to create cutting-edge models and optimising solutions to improve both speed and scale. Other responsibilities will include but are not limited to: Contributing to projects ranging from rapid prototyping of new ideas to optimising runtime and memory usage of existing models, Advancing our unique methodology for defending against unknown cyber-attacks, Embracing innovation and creativity in your approach, alongside traditional project-based development, Developing core competencies in various technology stacks, with opportunities to specialize in specific domains. What experience do I need: We seek engineers with a solution-focused mindset and an analytical approach to problem-solving. During the interview process, you'll demonstrate your programming skills and your ability to write production-quality Python code. Additionally, you should be: Comfortable working autonomously and making independent decisions, while also being able to collaborate effectively within a team, Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime) Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas), Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential), Experienced with Rust, specifically the ort crate (beneficial but not essential) Interested in cyber security and willing to learn more. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.
Customer Success ManagerApplylocations: London Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101768Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : In the Customer Success role, you will be managing a variety of named accounts across our global customer base. You will be responsible for driving adoption and outcomes leading to renewals, expansion, and advocacy across your portfolio. Commission will be awarded for increasing Net Revenue Retention (NRR) within your portfolio, by identifying and driving upsells and renewals, based on a quarterly quota. You should have a passion to learn about cybersecurity and AI, while always wanting to deliver the best service to our customers.This role is hybrid with minimum 3 days a week in our London office. What will I be doing: As a Customer Success Manager, you will manage a portfolio of 30-40 existing Darktrace customers to maximize their utility from Darktrace deployments and grow their Annual Recurring Revenue (ARR). You will report to the Director of Customer Success and collaborate with Sales, Technical Resources, and Cyber Threat Analysts. Conduct business reviews with client executive leadership and health checks on the deployment to drive satisfaction and desired business outcomes. Present, discuss, and demonstrate Darktrace cyber threat defense solutions to CISOs and information security experts as required. Identify, nurture, and negotiate upsell and cross-sell opportunities by aligning our suite of products to our customers' evolving use cases and needs. Ensure customers are set up for success and facilitate the renewal at the end of the subscription term. Analyze customer engagement levels to assess risk and execute action plans to progress account health. Manage customer escalations to resolution, leveraging cross-functional teams within the business. Mentor developing Customer Success Managers on the team by sharing best practices and helping ramp up new team members. Build strategic partnerships with Renewal Directors, Sales, Cyber Technology Specialists, and other internal teams to drive alignment and develop tailored solutions for complex accounts. What experience do I need: A minimum of 5 years of experience in a role that encompasses Customer Success, Project Management, Business Development, Technical Account Management, Client Service, or Consulting. Strong communication and presentation skills, with the ability to effectively communicate with senior business professionals across every industry vertical. Familiarity with enterprise networking technology (preferred, not required) and a foundational understanding of cybersecurity concepts. Strong time management skills, self-motivation, and the ability to work effectively as part of a team. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.Our Growth is Creating Great Opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you! Thanks for your interest in working on our team!
May 29, 2026
Full time
Customer Success ManagerApplylocations: London Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101768Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : In the Customer Success role, you will be managing a variety of named accounts across our global customer base. You will be responsible for driving adoption and outcomes leading to renewals, expansion, and advocacy across your portfolio. Commission will be awarded for increasing Net Revenue Retention (NRR) within your portfolio, by identifying and driving upsells and renewals, based on a quarterly quota. You should have a passion to learn about cybersecurity and AI, while always wanting to deliver the best service to our customers.This role is hybrid with minimum 3 days a week in our London office. What will I be doing: As a Customer Success Manager, you will manage a portfolio of 30-40 existing Darktrace customers to maximize their utility from Darktrace deployments and grow their Annual Recurring Revenue (ARR). You will report to the Director of Customer Success and collaborate with Sales, Technical Resources, and Cyber Threat Analysts. Conduct business reviews with client executive leadership and health checks on the deployment to drive satisfaction and desired business outcomes. Present, discuss, and demonstrate Darktrace cyber threat defense solutions to CISOs and information security experts as required. Identify, nurture, and negotiate upsell and cross-sell opportunities by aligning our suite of products to our customers' evolving use cases and needs. Ensure customers are set up for success and facilitate the renewal at the end of the subscription term. Analyze customer engagement levels to assess risk and execute action plans to progress account health. Manage customer escalations to resolution, leveraging cross-functional teams within the business. Mentor developing Customer Success Managers on the team by sharing best practices and helping ramp up new team members. Build strategic partnerships with Renewal Directors, Sales, Cyber Technology Specialists, and other internal teams to drive alignment and develop tailored solutions for complex accounts. What experience do I need: A minimum of 5 years of experience in a role that encompasses Customer Success, Project Management, Business Development, Technical Account Management, Client Service, or Consulting. Strong communication and presentation skills, with the ability to effectively communicate with senior business professionals across every industry vertical. Familiarity with enterprise networking technology (preferred, not required) and a foundational understanding of cybersecurity concepts. Strong time management skills, self-motivation, and the ability to work effectively as part of a team. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.Our Growth is Creating Great Opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you! Thanks for your interest in working on our team!
Customer Success ManagerApplylocations: London Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101768Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : In the Customer Success role, you will be managing a variety of named accounts across our global customer base. You will be responsible for driving adoption and outcomes leading to renewals, expansion, and advocacy across your portfolio. Commission will be awarded for increasing Net Revenue Retention (NRR) within your portfolio, by identifying and driving upsells and renewals, based on a quarterly quota. You should have a passion to learn about cybersecurity and AI, while always wanting to deliver the best service to our customers.This role is hybrid with minimum 3 days a week in our London office. What will I be doing: As a Customer Success Manager, you will manage a portfolio of 30-40 existing Darktrace customers to maximize their utility from Darktrace deployments and grow their Annual Recurring Revenue (ARR). You will report to the Director of Customer Success and collaborate with Sales, Technical Resources, and Cyber Threat Analysts. Conduct business reviews with client executive leadership and health checks on the deployment to drive satisfaction and desired business outcomes. Present, discuss, and demonstrate Darktrace cyber threat defense solutions to CISOs and information security experts as required. Identify, nurture, and negotiate upsell and cross-sell opportunities by aligning our suite of products to our customers' evolving use cases and needs. Ensure customers are set up for success and facilitate the renewal at the end of the subscription term. Analyze customer engagement levels to assess risk and execute action plans to progress account health. Manage customer escalations to resolution, leveraging cross-functional teams within the business. Mentor developing Customer Success Managers on the team by sharing best practices and helping ramp up new team members. Build strategic partnerships with Renewal Directors, Sales, Cyber Technology Specialists, and other internal teams to drive alignment and develop tailored solutions for complex accounts. What experience do I need: A minimum of 5 years of experience in a role that encompasses Customer Success, Project Management, Business Development, Technical Account Management, Client Service, or Consulting. Strong communication and presentation skills, with the ability to effectively communicate with senior business professionals across every industry vertical. Familiarity with enterprise networking technology (preferred, not required) and a foundational understanding of cybersecurity concepts. Strong time management skills, self-motivation, and the ability to work effectively as part of a team. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.Our Growth is Creating Great Opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you! Thanks for your interest in working on our team!
May 29, 2026
Full time
Customer Success ManagerApplylocations: London Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101768Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : In the Customer Success role, you will be managing a variety of named accounts across our global customer base. You will be responsible for driving adoption and outcomes leading to renewals, expansion, and advocacy across your portfolio. Commission will be awarded for increasing Net Revenue Retention (NRR) within your portfolio, by identifying and driving upsells and renewals, based on a quarterly quota. You should have a passion to learn about cybersecurity and AI, while always wanting to deliver the best service to our customers.This role is hybrid with minimum 3 days a week in our London office. What will I be doing: As a Customer Success Manager, you will manage a portfolio of 30-40 existing Darktrace customers to maximize their utility from Darktrace deployments and grow their Annual Recurring Revenue (ARR). You will report to the Director of Customer Success and collaborate with Sales, Technical Resources, and Cyber Threat Analysts. Conduct business reviews with client executive leadership and health checks on the deployment to drive satisfaction and desired business outcomes. Present, discuss, and demonstrate Darktrace cyber threat defense solutions to CISOs and information security experts as required. Identify, nurture, and negotiate upsell and cross-sell opportunities by aligning our suite of products to our customers' evolving use cases and needs. Ensure customers are set up for success and facilitate the renewal at the end of the subscription term. Analyze customer engagement levels to assess risk and execute action plans to progress account health. Manage customer escalations to resolution, leveraging cross-functional teams within the business. Mentor developing Customer Success Managers on the team by sharing best practices and helping ramp up new team members. Build strategic partnerships with Renewal Directors, Sales, Cyber Technology Specialists, and other internal teams to drive alignment and develop tailored solutions for complex accounts. What experience do I need: A minimum of 5 years of experience in a role that encompasses Customer Success, Project Management, Business Development, Technical Account Management, Client Service, or Consulting. Strong communication and presentation skills, with the ability to effectively communicate with senior business professionals across every industry vertical. Familiarity with enterprise networking technology (preferred, not required) and a foundational understanding of cybersecurity concepts. Strong time management skills, self-motivation, and the ability to work effectively as part of a team. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.Our Growth is Creating Great Opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you! Thanks for your interest in working on our team!
Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : Join our dynamic R&D teams in Cambridge and London, where you'll contribute to the development and enhancement of products driving our company's rapid growth.Please note this is a hybrid position that requires attendance in the Cambridge office at least 2 days a week. What will I be doing: As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace's services and offerings while balancing creativity, logical thinking and time constraints to implement novel features.You will collaborate with a cross-functional team of engineers, machine learning specialists and security researchers to create cutting-edge models and optimising solutions to improve both speed and scale. Other responsibilities will include but are not limited to: Contributing to projects ranging from rapid prototyping of new ideas to optimising runtime and memory usage of existing models, Advancing our unique methodology for defending against unknown cyber-attacks, Embracing innovation and creativity in your approach, alongside traditional project-based development, Developing core competencies in various technology stacks, with opportunities to specialize in specific domains. What experience do I need: We seek engineers with a solution-focused mindset and an analytical approach to problem-solving. During the interview process, you'll demonstrate your programming skills and your ability to write production-quality Python code. Additionally, you should be: Comfortable working autonomously and making independent decisions, while also being able to collaborate effectively within a team, Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime) Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas), Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential), Experienced with Rust, specifically the ort crate (beneficial but not essential) Interested in cyber security and willing to learn more. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.
May 29, 2026
Full time
Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : Join our dynamic R&D teams in Cambridge and London, where you'll contribute to the development and enhancement of products driving our company's rapid growth.Please note this is a hybrid position that requires attendance in the Cambridge office at least 2 days a week. What will I be doing: As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace's services and offerings while balancing creativity, logical thinking and time constraints to implement novel features.You will collaborate with a cross-functional team of engineers, machine learning specialists and security researchers to create cutting-edge models and optimising solutions to improve both speed and scale. Other responsibilities will include but are not limited to: Contributing to projects ranging from rapid prototyping of new ideas to optimising runtime and memory usage of existing models, Advancing our unique methodology for defending against unknown cyber-attacks, Embracing innovation and creativity in your approach, alongside traditional project-based development, Developing core competencies in various technology stacks, with opportunities to specialize in specific domains. What experience do I need: We seek engineers with a solution-focused mindset and an analytical approach to problem-solving. During the interview process, you'll demonstrate your programming skills and your ability to write production-quality Python code. Additionally, you should be: Comfortable working autonomously and making independent decisions, while also being able to collaborate effectively within a team, Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime) Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas), Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential), Experienced with Rust, specifically the ort crate (beneficial but not essential) Interested in cyber security and willing to learn more. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.
Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : Join our dynamic R&D teams in Cambridge and London, where you'll contribute to the development and enhancement of products driving our company's rapid growth.Please note this is a hybrid position that requires attendance in the Cambridge office at least 2 days a week. What will I be doing: As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace's services and offerings while balancing creativity, logical thinking and time constraints to implement novel features.You will collaborate with a cross-functional team of engineers, machine learning specialists and security researchers to create cutting-edge models and optimising solutions to improve both speed and scale. Other responsibilities will include but are not limited to: Contributing to projects ranging from rapid prototyping of new ideas to optimising runtime and memory usage of existing models, Advancing our unique methodology for defending against unknown cyber-attacks, Embracing innovation and creativity in your approach, alongside traditional project-based development, Developing core competencies in various technology stacks, with opportunities to specialize in specific domains. What experience do I need: We seek engineers with a solution-focused mindset and an analytical approach to problem-solving. During the interview process, you'll demonstrate your programming skills and your ability to write production-quality Python code. Additionally, you should be: Comfortable working autonomously and making independent decisions, while also being able to collaborate effectively within a team, Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime) Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas), Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential), Experienced with Rust, specifically the ort crate (beneficial but not essential) Interested in cyber security and willing to learn more. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.
May 29, 2026
Full time
Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : Join our dynamic R&D teams in Cambridge and London, where you'll contribute to the development and enhancement of products driving our company's rapid growth.Please note this is a hybrid position that requires attendance in the Cambridge office at least 2 days a week. What will I be doing: As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace's services and offerings while balancing creativity, logical thinking and time constraints to implement novel features.You will collaborate with a cross-functional team of engineers, machine learning specialists and security researchers to create cutting-edge models and optimising solutions to improve both speed and scale. Other responsibilities will include but are not limited to: Contributing to projects ranging from rapid prototyping of new ideas to optimising runtime and memory usage of existing models, Advancing our unique methodology for defending against unknown cyber-attacks, Embracing innovation and creativity in your approach, alongside traditional project-based development, Developing core competencies in various technology stacks, with opportunities to specialize in specific domains. What experience do I need: We seek engineers with a solution-focused mindset and an analytical approach to problem-solving. During the interview process, you'll demonstrate your programming skills and your ability to write production-quality Python code. Additionally, you should be: Comfortable working autonomously and making independent decisions, while also being able to collaborate effectively within a team, Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime) Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas), Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential), Experienced with Rust, specifically the ort crate (beneficial but not essential) Interested in cyber security and willing to learn more. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.