Overview At Solve Intelligence, we aren't just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company. ️ The Role: AI Engineer We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast. You will lead the development of algorithms that push the envelope of what is possible with LLMs. Responsibilities Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents. SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D. Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy. Full-Stack Impact: While focused on AI, you'll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience. About Solve Intelligence We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation. Growth: 20-30% MoM revenue growth; selling to 300+ global IP teams (DLA Piper, tech giants, and boutiques). Impact: Users report 50-90% efficiency improvements. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. Co-Founders & Team You will work directly with a founding team of AI PhDs and elite engineers: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Who You Are We are a young company of highly motivated "hackers" building at a relentless pace. Speed is your default: You want to put things in the hands of customers in days, not months. You are a grinder: You have a strong work ethic and are willing to go the extra mile (long nights/weekends) to achieve excellence. You are an optimist: You thrive in a high-energy, positive environment and take extreme ownership of your outcomes. What You Bring Must-Haves: Expert Python Skills: Deep experience building and shipping AI solutions. Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments. LLM Mastery: Practical experience with prompt engineering and modern LLM architectures. Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React). Clear Communication: Ability to articulate complex technical decisions clearly. Nice-to-Haves: Publications at top ML conferences (NeurIPS, ICLR, ICML). Familiarity with frameworks like OpenAI Evals. A history of interesting GitHub contributions or "impressively difficult" side projects. What We Offer Competitive Salary + Significant Equity: We want you to have true ownership in our success. Growth: Opportunity to work with a world-class team on a genuine rocket ship trajectory. Support: Full visa sponsorship and private medical insurance. The Goods: Free meals and a high-performance office culture in London. Ready to build the future of AI? Apply now.
10/05/2026
Full time
Overview At Solve Intelligence, we aren't just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company. ️ The Role: AI Engineer We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast. You will lead the development of algorithms that push the envelope of what is possible with LLMs. Responsibilities Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents. SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D. Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy. Full-Stack Impact: While focused on AI, you'll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience. About Solve Intelligence We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation. Growth: 20-30% MoM revenue growth; selling to 300+ global IP teams (DLA Piper, tech giants, and boutiques). Impact: Users report 50-90% efficiency improvements. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. Co-Founders & Team You will work directly with a founding team of AI PhDs and elite engineers: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Who You Are We are a young company of highly motivated "hackers" building at a relentless pace. Speed is your default: You want to put things in the hands of customers in days, not months. You are a grinder: You have a strong work ethic and are willing to go the extra mile (long nights/weekends) to achieve excellence. You are an optimist: You thrive in a high-energy, positive environment and take extreme ownership of your outcomes. What You Bring Must-Haves: Expert Python Skills: Deep experience building and shipping AI solutions. Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments. LLM Mastery: Practical experience with prompt engineering and modern LLM architectures. Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React). Clear Communication: Ability to articulate complex technical decisions clearly. Nice-to-Haves: Publications at top ML conferences (NeurIPS, ICLR, ICML). Familiarity with frameworks like OpenAI Evals. A history of interesting GitHub contributions or "impressively difficult" side projects. What We Offer Competitive Salary + Significant Equity: We want you to have true ownership in our success. Growth: Opportunity to work with a world-class team on a genuine rocket ship trajectory. Support: Full visa sponsorship and private medical insurance. The Goods: Free meals and a high-performance office culture in London. Ready to build the future of AI? Apply now.
Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or 'Clubs') so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Join us - and help us fulfil our mission to close the world's digital skills gap. As a Lead Full Stack Engineer (React/JavaScript) you will build remarkable, digital products in Agile environments, using your background in JavaScript and React Native. As a result, you will need to be able to: Work on large-scale, multiple industries, eCommerce and enterprise-level software development projects using languages and technologies such as JavaScript, React Native, React, Node. Champion software quality and technical vision for AND and our clients. Champion TDD/BDD/XP Software development. Be comfortable working in testing orientated and CI/CD environments. Facilitate problem solving and work as a team to bring software to life. Work in a collaborative environment where your ideas and opinions are valued and respected. Work with junior engineers in your team and assist with their mentoring and career development. To do that, it's essential you bring the following: Demonstrate expertise in React Native development, including proficiency in JavaScript and TypeScript to build scalable and maintainable mobile applications. Lead the design and implementation of mobile applications using best practices in React Native, ensuring high performance and responsiveness. Architect and implement complex features and functionality across both iOS and Android platforms, utilising React Native's capabilities. Ensure code quality and consistency by using modern tools and techniques, such as ESLint, Prettier, and TypeScript. Integrate third-party libraries to enhance app functionality while maintaining seamless user experiences. Implement and maintain CI/CD pipelines to automate testing, building, and deployment processes. Monitor and optimise application performance using profiling tools and analytics platforms to ensure reliability and user satisfaction. Stay updated with the latest advancements in React Native and TypeScript, incorporating new technologies and practices into development processes. Collaborate with cross-functional teams to deliver cohesive and innovative solutions, including UI/UX designers, product managers, and backend developers. Mentor and guide junior developers, fostering a culture of continuous learning and improvement. Conduct code reviews to ensure adherence to best practices and coding standards and provide constructive feedback to team members. Demonstrate experience in deploying applications to app stores, including managing app versions, updates, and compliance with store guidelines. Implement robust testing strategies using tools such as Jest, Detox, and React Native Testing Library. Utilise state management solutions like Redux to efficiently manage application state and enhance performance. Possess strong problem-solving skills and the ability to troubleshoot and resolve complex technical issues. Participate actively in team meetings and contribute to strategic planning and decision-making processes. It would be desirable for you to also bring the following: Possess skills in native iOS development (Swift, Objective C) or native Android development (Kotlin, Java) to integrate native modules and optimise platform specific features. Experience of .Net or Python and an interest in architecture and/or Cloud. Familiarity with iOS development tools such as Xcode, Interface Builder, and Instruments for performance profiling. Familiarity with Android development tools such as Android Studio, Gradle, and Android Profiler for performance profiling. Experience with native UI design principles and frameworks, such as UIKit for iOS and Android Jetpack components for Android. Implement native testing frameworks like XCTest for iOS or Espresso for Android to enhance testing strategies. Knowledge of platform specific APIs and libraries, such as Core Data, Core Animation, and ARKit for iOS Room, LiveData, and CameraX for Android. Understanding of platform specific design guidelines and user experience best practices for both iOS and Android. Why join AND Digital? We have three core values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem-solving. By joining AND, we'll provide: Opportunities to work on projects with big clients and produce meaningful work that makes a genuine difference to people's lives. A "Blended Working" model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery. The benefits of having a small company feel through being part of an autonomous Club, while being able to take in the benefits of a larger organisation. A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self. A safe environment for you to be yourself and challenge yourself. Benefits 25 days holiday allowance + bank holidays Flexible bank holidays A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan Private medical insurance 6% employer pension contribution, when you contribute 2% PLUS many more Equal Opportunities Statement We are an equal opportunity employer and welcome applications from all qualified candidates. We actively encourage applications from women, ethnic minorities, and individuals with disabilities. We consider all flexible working arrangements, subject to the requirements of the role. Where reasonable adjustments are needed, we will strive to make changes to accommodate them.
10/05/2026
Full time
Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or 'Clubs') so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Join us - and help us fulfil our mission to close the world's digital skills gap. As a Lead Full Stack Engineer (React/JavaScript) you will build remarkable, digital products in Agile environments, using your background in JavaScript and React Native. As a result, you will need to be able to: Work on large-scale, multiple industries, eCommerce and enterprise-level software development projects using languages and technologies such as JavaScript, React Native, React, Node. Champion software quality and technical vision for AND and our clients. Champion TDD/BDD/XP Software development. Be comfortable working in testing orientated and CI/CD environments. Facilitate problem solving and work as a team to bring software to life. Work in a collaborative environment where your ideas and opinions are valued and respected. Work with junior engineers in your team and assist with their mentoring and career development. To do that, it's essential you bring the following: Demonstrate expertise in React Native development, including proficiency in JavaScript and TypeScript to build scalable and maintainable mobile applications. Lead the design and implementation of mobile applications using best practices in React Native, ensuring high performance and responsiveness. Architect and implement complex features and functionality across both iOS and Android platforms, utilising React Native's capabilities. Ensure code quality and consistency by using modern tools and techniques, such as ESLint, Prettier, and TypeScript. Integrate third-party libraries to enhance app functionality while maintaining seamless user experiences. Implement and maintain CI/CD pipelines to automate testing, building, and deployment processes. Monitor and optimise application performance using profiling tools and analytics platforms to ensure reliability and user satisfaction. Stay updated with the latest advancements in React Native and TypeScript, incorporating new technologies and practices into development processes. Collaborate with cross-functional teams to deliver cohesive and innovative solutions, including UI/UX designers, product managers, and backend developers. Mentor and guide junior developers, fostering a culture of continuous learning and improvement. Conduct code reviews to ensure adherence to best practices and coding standards and provide constructive feedback to team members. Demonstrate experience in deploying applications to app stores, including managing app versions, updates, and compliance with store guidelines. Implement robust testing strategies using tools such as Jest, Detox, and React Native Testing Library. Utilise state management solutions like Redux to efficiently manage application state and enhance performance. Possess strong problem-solving skills and the ability to troubleshoot and resolve complex technical issues. Participate actively in team meetings and contribute to strategic planning and decision-making processes. It would be desirable for you to also bring the following: Possess skills in native iOS development (Swift, Objective C) or native Android development (Kotlin, Java) to integrate native modules and optimise platform specific features. Experience of .Net or Python and an interest in architecture and/or Cloud. Familiarity with iOS development tools such as Xcode, Interface Builder, and Instruments for performance profiling. Familiarity with Android development tools such as Android Studio, Gradle, and Android Profiler for performance profiling. Experience with native UI design principles and frameworks, such as UIKit for iOS and Android Jetpack components for Android. Implement native testing frameworks like XCTest for iOS or Espresso for Android to enhance testing strategies. Knowledge of platform specific APIs and libraries, such as Core Data, Core Animation, and ARKit for iOS Room, LiveData, and CameraX for Android. Understanding of platform specific design guidelines and user experience best practices for both iOS and Android. Why join AND Digital? We have three core values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem-solving. By joining AND, we'll provide: Opportunities to work on projects with big clients and produce meaningful work that makes a genuine difference to people's lives. A "Blended Working" model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery. The benefits of having a small company feel through being part of an autonomous Club, while being able to take in the benefits of a larger organisation. A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self. A safe environment for you to be yourself and challenge yourself. Benefits 25 days holiday allowance + bank holidays Flexible bank holidays A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan Private medical insurance 6% employer pension contribution, when you contribute 2% PLUS many more Equal Opportunities Statement We are an equal opportunity employer and welcome applications from all qualified candidates. We actively encourage applications from women, ethnic minorities, and individuals with disabilities. We consider all flexible working arrangements, subject to the requirements of the role. Where reasonable adjustments are needed, we will strive to make changes to accommodate them.
About Beeks Beeks Group is a leading managed cloud provider exclusively within financial markets. Our Infrastructure-as-a-Service model is optimised for low-latency private cloud compute, connectivity and analytics, providing the flexibility to deploy and connect to exchanges, trading venues and public cloud for a true hybrid cloud experience. Founded in 2011, Beeks Group is listed on the London Stock Exchange (LSE: BKS) and has enjoyed continued growth each year. Beeks Group now employs over 100 team members across the globe and have an international network of over thirty data centres. We have a fantastic opportunity for a Client Implementation Engineer to join us at our unique Head Office in Renfrew which includes our state-of-the-art gym with weekly circuit training, a personal trainer and yoga classes as well as the Beeks Bar or weekly masseuse to help you unwind! Role Overview Beeks Group is seeking a skilled and adaptable Client Implementation Engineer to support the technical implementation, deployment, and ongoing evolution of our Analytics product. As a Client Implementation Engineer, you will be designing, delivering, and supporting innovative solutions for clients in the electronic trading sector, built on the Beeks Analytics suite of products and deployed on Linux platforms. The role ranges from requirements gathering and analysis through to conducting client trials and full deployment, configuration and integration of the solution. In addition to client projects, the engineer will collaborate closely with software engineers to shape new product capabilities and adapt the platform for new customer use cases. The successful candidate will balance problem solving and customer facing skills with the ability to contribute to product development and deployment, through targeted technical and process development. Verbal and written communication skills are critical for success, as the candidate will represent Beeks to external customers. Knowledge of network analysis and financial market protocols are useful, but not essential. We encourage applications from individuals who have demonstrable experience of quickly learning new products and who excel in pragmatic, practical problem solving. As the product evolves, the role offers opportunities to deepen expertise in several directions, including product development, client solution design, and technical support. The role may offer travel opportunities. Beeks is a small company and the successful candidate's work will make a direct and measurable contribution to the company's success. We particularly welcome candidates who enjoy learning new technologies and developing practical solutions to real-world system problems. This role is ideal for engineers looking to take the next step in their careers and gain deeper experience working with production systems in the financial markets. Responsibilities Specific responsibilities include: Technical Implementation & Delivery Design, implement, and deploy infrastructure and platform components to support client environments Work on complex, high-volume, real-time systems and application integration projects for clients across financial services Deliver reliable, maintainable projects to new and existing clients using the Beeks Analytics products and toolset Play an active part in the design of novel solutions to meet emerging business requirements Engineering & Platform Development Develop scripts and automation workflows, primarily using Python Collaborate with engineering teams to enhance deployment pipelines and operational tooling Support transition away from legacy Java components as the platform evolves Coordinate with the software development team for bug fixes and enhancement requests Client-Facing Engineering Support Work directly with clients to support technical onboarding, implementation activities, and issue resolution Provide product training to end users Translate between client needs and internal development teams during delivery and support cycles Data & Observability Work with relational and time-series data systems (e.g. QuestDB, InfluxDB) to explore operational data and support reporting or dashboard use cases Build and support dashboards and visualisations using Grafana (heavily used in the role and by our customers) Our analytics are based on capturing data from the network. Familiarity with network diagnostics, packet capture, or financial market protocols is beneficial but not required. Work with internal ML engineering teams to deploy and operate machine learning analytics components, helping ensure models run reliably in client environments and integrate with existing data pipelines and dashboards. Required Experience 3+ years of strong Software Delivery or Integration Engineering experience Technical problem solving mind-set: The role suits engineers who are curious about how complex systems behave in real environments, and who enjoy exploring operational data and metrics to help diagnose and resolve issues. Organised independent thinker who will pro-actively seek help to maximise efficiency Development background Linux, bash and scripting experience Familiarity with network technologies, TCP Quality focused individual, eager to contribute in a team-oriented environment Strong interpersonal and communication skills - verbal and written. You will work with experienced engineers to investigate issues and help translate technical findings into clear explanations for clients. Desirable Experience Python experience, coding or deployment Familiarity with network tap/span/aggregation, wireshark/tcpdump/BPF Integration experience kafka/sso/REST Grafana/data visualisation Database experience Wire protocols experience Qualifications Qualified to degree level, or equivalent hands-on experience, in one of the following: Computer Science / Computer Engineering Information Systems / Decision Sciences Engineering (all disciplines) What we offer: Compensation & Benefits: A competitive salary A unique and highly rewarding Share Options scheme Highly competitive pension scheme EV salary exchange scheme Life assurance cover Investment in Training Private Health Insurance Lifestyle: Hybrid working Flexible work hours 33 days annual leave Recruitment Process 15-20min Screening Call 1hr Technical Interview Offer issued and start date agreed This is a Full-Time position We are an Equal opportunity employer
10/05/2026
Full time
About Beeks Beeks Group is a leading managed cloud provider exclusively within financial markets. Our Infrastructure-as-a-Service model is optimised for low-latency private cloud compute, connectivity and analytics, providing the flexibility to deploy and connect to exchanges, trading venues and public cloud for a true hybrid cloud experience. Founded in 2011, Beeks Group is listed on the London Stock Exchange (LSE: BKS) and has enjoyed continued growth each year. Beeks Group now employs over 100 team members across the globe and have an international network of over thirty data centres. We have a fantastic opportunity for a Client Implementation Engineer to join us at our unique Head Office in Renfrew which includes our state-of-the-art gym with weekly circuit training, a personal trainer and yoga classes as well as the Beeks Bar or weekly masseuse to help you unwind! Role Overview Beeks Group is seeking a skilled and adaptable Client Implementation Engineer to support the technical implementation, deployment, and ongoing evolution of our Analytics product. As a Client Implementation Engineer, you will be designing, delivering, and supporting innovative solutions for clients in the electronic trading sector, built on the Beeks Analytics suite of products and deployed on Linux platforms. The role ranges from requirements gathering and analysis through to conducting client trials and full deployment, configuration and integration of the solution. In addition to client projects, the engineer will collaborate closely with software engineers to shape new product capabilities and adapt the platform for new customer use cases. The successful candidate will balance problem solving and customer facing skills with the ability to contribute to product development and deployment, through targeted technical and process development. Verbal and written communication skills are critical for success, as the candidate will represent Beeks to external customers. Knowledge of network analysis and financial market protocols are useful, but not essential. We encourage applications from individuals who have demonstrable experience of quickly learning new products and who excel in pragmatic, practical problem solving. As the product evolves, the role offers opportunities to deepen expertise in several directions, including product development, client solution design, and technical support. The role may offer travel opportunities. Beeks is a small company and the successful candidate's work will make a direct and measurable contribution to the company's success. We particularly welcome candidates who enjoy learning new technologies and developing practical solutions to real-world system problems. This role is ideal for engineers looking to take the next step in their careers and gain deeper experience working with production systems in the financial markets. Responsibilities Specific responsibilities include: Technical Implementation & Delivery Design, implement, and deploy infrastructure and platform components to support client environments Work on complex, high-volume, real-time systems and application integration projects for clients across financial services Deliver reliable, maintainable projects to new and existing clients using the Beeks Analytics products and toolset Play an active part in the design of novel solutions to meet emerging business requirements Engineering & Platform Development Develop scripts and automation workflows, primarily using Python Collaborate with engineering teams to enhance deployment pipelines and operational tooling Support transition away from legacy Java components as the platform evolves Coordinate with the software development team for bug fixes and enhancement requests Client-Facing Engineering Support Work directly with clients to support technical onboarding, implementation activities, and issue resolution Provide product training to end users Translate between client needs and internal development teams during delivery and support cycles Data & Observability Work with relational and time-series data systems (e.g. QuestDB, InfluxDB) to explore operational data and support reporting or dashboard use cases Build and support dashboards and visualisations using Grafana (heavily used in the role and by our customers) Our analytics are based on capturing data from the network. Familiarity with network diagnostics, packet capture, or financial market protocols is beneficial but not required. Work with internal ML engineering teams to deploy and operate machine learning analytics components, helping ensure models run reliably in client environments and integrate with existing data pipelines and dashboards. Required Experience 3+ years of strong Software Delivery or Integration Engineering experience Technical problem solving mind-set: The role suits engineers who are curious about how complex systems behave in real environments, and who enjoy exploring operational data and metrics to help diagnose and resolve issues. Organised independent thinker who will pro-actively seek help to maximise efficiency Development background Linux, bash and scripting experience Familiarity with network technologies, TCP Quality focused individual, eager to contribute in a team-oriented environment Strong interpersonal and communication skills - verbal and written. You will work with experienced engineers to investigate issues and help translate technical findings into clear explanations for clients. Desirable Experience Python experience, coding or deployment Familiarity with network tap/span/aggregation, wireshark/tcpdump/BPF Integration experience kafka/sso/REST Grafana/data visualisation Database experience Wire protocols experience Qualifications Qualified to degree level, or equivalent hands-on experience, in one of the following: Computer Science / Computer Engineering Information Systems / Decision Sciences Engineering (all disciplines) What we offer: Compensation & Benefits: A competitive salary A unique and highly rewarding Share Options scheme Highly competitive pension scheme EV salary exchange scheme Life assurance cover Investment in Training Private Health Insurance Lifestyle: Hybrid working Flexible work hours 33 days annual leave Recruitment Process 15-20min Screening Call 1hr Technical Interview Offer issued and start date agreed This is a Full-Time position We are an Equal opportunity employer
Overview Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the role As a Security Engineer, Product Security, you will help Aircall build and ship secure products by working closely with engineering teams and product managers to identify risk early, reduce vulnerabilities, and improve security quality across the software development lifecycle. You'll support secure-by-design practices and help ensure security is integrated into how teams design, build, test, and release software. In this role, you'll be hands-on across threat modelling, vulnerability detection and remediation, and security testing. You will partner with engineers to make security practical and actionable - helping teams move quickly while raising the security bar. You'll also have a strong bias to leveraging AI to scale. Key Responsibilities Partner with engineering teams to review designs and implementation plans, identifying security risks early and recommending mitigations. Perform threat modelling for new features and major changes, helping teams document risks, assumptions, and security controls. Identify and help remediate common vulnerability classes across services and APIs (e.g., auth/authz, injection, data exposure, logic flaws). Triage and support remediation of vulnerabilities identified through SAST/DAST tools, internal testing, or third-party findings. Conduct security testing and validation, including targeted manual testing for high-risk areas. Help improve secure development practices by creating reusable guidance, checklists, and secure patterns for engineering teams. Contribute to security tooling and automation that improves coverage, reduces false positives, and streamlines security reviews. Assist with product security incidents by supporting investigation, impact analysis, and follow-up remediation. Communicate security risks clearly and pragmatically, helping teams prioritize effectively and ship safely. Document learnings and contribute to evolving product security processes and standards. Requirements 2-5 years of experience in Product Security, Application Security, or software engineering with a strong security focus. Strong understanding of web application and API security fundamentals and common vulnerability classes (OWASP Top 10). Experience performing security reviews, threat modelling, or secure architecture assessments for software systems. Familiarity with security testing tools and practices (SAST/DAST, dependency scanning, fuzzing, manual testing). Comfort reading and reviewing production code in at least one language (e.g., Python, Go, Java, JavaScript/TypeScript). Exposure to automated or AI-assisted security tools or workflows, and interest in applying them to improve developer experience and security outcomes. Ability to work cross-functionally with engineering teams and communicate findings in a constructive, actionable way. Proven ability to drive remediation efforts and follow through on risk reduction outcomes. Nice-to-have Experience with cloud-native architectures (AWS/GCP/Azure), microservices, Kubernetes, service-to-service authentication, and secrets management. Experience tuning security tools to reduce noise and improve signal (e.g., improving rules, baselines, or pipelines). Familiarity with secure SDLC practices and security champions programs. Exposure to bug bounty/vulnerability disclosure or working with external researchers. Experience improving internal security automation or developer workflows (including using AI-assisted tooling). Why join us? Key moment to join Aircall in terms of growth and opportunities ️ Our people matter, work-life balance is important at Aircall Fast-learning environment, entrepreneurial and strong team spirit 45+ Nationalities: cosmopolite & multi-cultural mindset Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.
10/05/2026
Full time
Overview Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the role As a Security Engineer, Product Security, you will help Aircall build and ship secure products by working closely with engineering teams and product managers to identify risk early, reduce vulnerabilities, and improve security quality across the software development lifecycle. You'll support secure-by-design practices and help ensure security is integrated into how teams design, build, test, and release software. In this role, you'll be hands-on across threat modelling, vulnerability detection and remediation, and security testing. You will partner with engineers to make security practical and actionable - helping teams move quickly while raising the security bar. You'll also have a strong bias to leveraging AI to scale. Key Responsibilities Partner with engineering teams to review designs and implementation plans, identifying security risks early and recommending mitigations. Perform threat modelling for new features and major changes, helping teams document risks, assumptions, and security controls. Identify and help remediate common vulnerability classes across services and APIs (e.g., auth/authz, injection, data exposure, logic flaws). Triage and support remediation of vulnerabilities identified through SAST/DAST tools, internal testing, or third-party findings. Conduct security testing and validation, including targeted manual testing for high-risk areas. Help improve secure development practices by creating reusable guidance, checklists, and secure patterns for engineering teams. Contribute to security tooling and automation that improves coverage, reduces false positives, and streamlines security reviews. Assist with product security incidents by supporting investigation, impact analysis, and follow-up remediation. Communicate security risks clearly and pragmatically, helping teams prioritize effectively and ship safely. Document learnings and contribute to evolving product security processes and standards. Requirements 2-5 years of experience in Product Security, Application Security, or software engineering with a strong security focus. Strong understanding of web application and API security fundamentals and common vulnerability classes (OWASP Top 10). Experience performing security reviews, threat modelling, or secure architecture assessments for software systems. Familiarity with security testing tools and practices (SAST/DAST, dependency scanning, fuzzing, manual testing). Comfort reading and reviewing production code in at least one language (e.g., Python, Go, Java, JavaScript/TypeScript). Exposure to automated or AI-assisted security tools or workflows, and interest in applying them to improve developer experience and security outcomes. Ability to work cross-functionally with engineering teams and communicate findings in a constructive, actionable way. Proven ability to drive remediation efforts and follow through on risk reduction outcomes. Nice-to-have Experience with cloud-native architectures (AWS/GCP/Azure), microservices, Kubernetes, service-to-service authentication, and secrets management. Experience tuning security tools to reduce noise and improve signal (e.g., improving rules, baselines, or pipelines). Familiarity with secure SDLC practices and security champions programs. Exposure to bug bounty/vulnerability disclosure or working with external researchers. Experience improving internal security automation or developer workflows (including using AI-assisted tooling). Why join us? Key moment to join Aircall in terms of growth and opportunities ️ Our people matter, work-life balance is important at Aircall Fast-learning environment, entrepreneurial and strong team spirit 45+ Nationalities: cosmopolite & multi-cultural mindset Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.
Overview Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the role As a Security Engineer, Product Security, you will help Aircall build and ship secure products by working closely with engineering teams and product managers to identify risk early, reduce vulnerabilities, and improve security quality across the software development lifecycle. You'll support secure-by-design practices and help ensure security is integrated into how teams design, build, test, and release software. In this role, you'll be hands-on across threat modelling, vulnerability detection and remediation, and security testing. You will partner with engineers to make security practical and actionable - helping teams move quickly while raising the security bar. You'll also have a strong bias to leveraging AI to scale. Key Responsibilities Partner with engineering teams to review designs and implementation plans, identifying security risks early and recommending mitigations. Perform threat modelling for new features and major changes, helping teams document risks, assumptions, and security controls. Identify and help remediate common vulnerability classes across services and APIs (e.g., auth/authz, injection, data exposure, logic flaws). Triage and support remediation of vulnerabilities identified through SAST/DAST tools, internal testing, or third-party findings. Conduct security testing and validation, including targeted manual testing for high-risk areas. Help improve secure development practices by creating reusable guidance, checklists, and secure patterns for engineering teams. Contribute to security tooling and automation that improves coverage, reduces false positives, and streamlines security reviews. Assist with product security incidents by supporting investigation, impact analysis, and follow-up remediation. Communicate security risks clearly and pragmatically, helping teams prioritize effectively and ship safely. Document learnings and contribute to evolving product security processes and standards. Requirements 2-5 years of experience in Product Security, Application Security, or software engineering with a strong security focus. Strong understanding of web application and API security fundamentals and common vulnerability classes (OWASP Top 10). Experience performing security reviews, threat modelling, or secure architecture assessments for software systems. Familiarity with security testing tools and practices (SAST/DAST, dependency scanning, fuzzing, manual testing). Comfort reading and reviewing production code in at least one language (e.g., Python, Go, Java, JavaScript/TypeScript). Exposure to automated or AI-assisted security tools or workflows, and interest in applying them to improve developer experience and security outcomes. Ability to work cross-functionally with engineering teams and communicate findings in a constructive, actionable way. Proven ability to drive remediation efforts and follow through on risk reduction outcomes. Nice-to-have Experience with cloud-native architectures (AWS/GCP/Azure), microservices, Kubernetes, service-to-service authentication, and secrets management. Experience tuning security tools to reduce noise and improve signal (e.g., improving rules, baselines, or pipelines). Familiarity with secure SDLC practices and security champions programs. Exposure to bug bounty/vulnerability disclosure or working with external researchers. Experience improving internal security automation or developer workflows (including using AI-assisted tooling). Why join us? Key moment to join Aircall in terms of growth and opportunities ️ Our people matter, work-life balance is important at Aircall Fast-learning environment, entrepreneurial and strong team spirit 45+ Nationalities: cosmopolite & multi-cultural mindset Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.
10/05/2026
Full time
Overview Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the role As a Security Engineer, Product Security, you will help Aircall build and ship secure products by working closely with engineering teams and product managers to identify risk early, reduce vulnerabilities, and improve security quality across the software development lifecycle. You'll support secure-by-design practices and help ensure security is integrated into how teams design, build, test, and release software. In this role, you'll be hands-on across threat modelling, vulnerability detection and remediation, and security testing. You will partner with engineers to make security practical and actionable - helping teams move quickly while raising the security bar. You'll also have a strong bias to leveraging AI to scale. Key Responsibilities Partner with engineering teams to review designs and implementation plans, identifying security risks early and recommending mitigations. Perform threat modelling for new features and major changes, helping teams document risks, assumptions, and security controls. Identify and help remediate common vulnerability classes across services and APIs (e.g., auth/authz, injection, data exposure, logic flaws). Triage and support remediation of vulnerabilities identified through SAST/DAST tools, internal testing, or third-party findings. Conduct security testing and validation, including targeted manual testing for high-risk areas. Help improve secure development practices by creating reusable guidance, checklists, and secure patterns for engineering teams. Contribute to security tooling and automation that improves coverage, reduces false positives, and streamlines security reviews. Assist with product security incidents by supporting investigation, impact analysis, and follow-up remediation. Communicate security risks clearly and pragmatically, helping teams prioritize effectively and ship safely. Document learnings and contribute to evolving product security processes and standards. Requirements 2-5 years of experience in Product Security, Application Security, or software engineering with a strong security focus. Strong understanding of web application and API security fundamentals and common vulnerability classes (OWASP Top 10). Experience performing security reviews, threat modelling, or secure architecture assessments for software systems. Familiarity with security testing tools and practices (SAST/DAST, dependency scanning, fuzzing, manual testing). Comfort reading and reviewing production code in at least one language (e.g., Python, Go, Java, JavaScript/TypeScript). Exposure to automated or AI-assisted security tools or workflows, and interest in applying them to improve developer experience and security outcomes. Ability to work cross-functionally with engineering teams and communicate findings in a constructive, actionable way. Proven ability to drive remediation efforts and follow through on risk reduction outcomes. Nice-to-have Experience with cloud-native architectures (AWS/GCP/Azure), microservices, Kubernetes, service-to-service authentication, and secrets management. Experience tuning security tools to reduce noise and improve signal (e.g., improving rules, baselines, or pipelines). Familiarity with secure SDLC practices and security champions programs. Exposure to bug bounty/vulnerability disclosure or working with external researchers. Experience improving internal security automation or developer workflows (including using AI-assisted tooling). Why join us? Key moment to join Aircall in terms of growth and opportunities ️ Our people matter, work-life balance is important at Aircall Fast-learning environment, entrepreneurial and strong team spirit 45+ Nationalities: cosmopolite & multi-cultural mindset Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.
Bridewell Consulting Limited
Cardiff, South Glamorgan
We are seeking a highly skilled and experienced Senior Security Engineer to join our Managed Security Service Provider (MSSP) team. You will be responsible for driving our adoption of Sentinel, client onboarding projects, managing multi-vendor SIEM proof of concepts with a specific focus on a Microsoft Sentinel, developing custom connectors to ingest log data into SIEM tooling. The ideal candidate will possess a deep understanding of infrastructure as code (IaC) and DevOps Pipelines with Bicep/Terraform and proficiency in scripting/programming languages such as Python/Go. Experience with Sentinel deployments, log management, and threat detection is required, including expertise in dashboard creation, query development, and alert configuration. Additional experience in Splunk deployments is beneficial. This role sits within our MSSP team, as a senior member of the security engineering team focused on growing our SIEM management capabilities and integrating those into our Managed SOC offering in a consistent and professional way. You will work on a variety of projects, the below should be considered key focus areas of the role: Responsibilities Client Onboarding Projects: Lead and execute comprehensive client onboarding processes, ensuring a seamless transition and integration into SOC. Sentinel Proof of Concepts (PoCs): Design, implement, and manage PoCs for Sentinel and Microsoft Sentinel demonstrating their capabilities and value to clients. Custom Data Connectors: Develop, test, and deploy custom data connectors to integrate various data sources into SIEM systems, including Splunk and Azure Sentinel. Infrastructure as Code (IaC): Utilize Bicep and Terraform for automating cloud infrastructure deployment and management, ensuring scalability and consistency. Scripting and Automation: Develop and maintain automation scripts using Python/Go and Function Apps to streamline security operations. SIEM Expertise: Deploy, configure, manage, and optimize Sentinel for security monitoring, log ingestion, query development, and threat detection. Technical Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement. Client Engagement: Work closely with clients to understand their security needs, provide expert advice, and ensure satisfaction with our services. Pre-Sales Support: Work closely with the sales team to accurately scope projects and their deliverables, ensuring proper resource allocation. Documentation and Reporting: Create and maintain comprehensive documentation for projects, processes, and configurations. Why Join Us? Our vision is to create a safe, inclusive digital world where people and organisations can thrive. Our values of Do the Right Thing, One Team and Above and Beyond emphasise the importance of the part we play in society, and our commitment to our people and clients. Our story to-date has been phenomenal, but success doesn't end here and as we continue to grow and scale, we want to keep the same culture, passion and commitment to high quality that has enabled us to get this far. Bridewell will provide a great career opportunity with continual development as well as the following: Competitive Salary 25 Days Holiday - Plus buy and sell options Flexible Working (around core office hours) Company Pension Employee Shareholder Scheme Dedicated Training Budget Life Assurance Cycle to Work Scheme Electric Vehicle Scheme Private Healthcare (incl. Gym discounts) Vision Care Birthday off (After 1 year) About Bridewell One of the most exciting prospects in the UK Cyber Security sector today, Bridewell is one of the fastest growing Cyber Security services businesses with a strong track record for delivering complex security projects and providing excellent customer service. Bridewell has an exciting and varied portfolio of clients across Financial Services, Manufacturing, Oil & Gas, Government, Critical National Infrastructure and more. Bridewell holds the Gold level Investors in People award which we feel solidifies and reflects on the outstanding calibre that makes us truly One Team. Along with our focus on our people, we also have a big focus on sustainability and recognise the role we play in the fight against climate change. Today, Bridewell is proud to be a carbon negative business. Location: Bridewell operates a hybrid and flexible working policy, however you will be required to travel to different sites on occasion. Bridewell values diversity in the workplace and is a fair and equal opportunity employer. We are committed to creating an equal and inclusive working environment, with the aim that our employees will be truly representative of all sections of society and each person feels respected and able to give their best.
10/05/2026
Full time
We are seeking a highly skilled and experienced Senior Security Engineer to join our Managed Security Service Provider (MSSP) team. You will be responsible for driving our adoption of Sentinel, client onboarding projects, managing multi-vendor SIEM proof of concepts with a specific focus on a Microsoft Sentinel, developing custom connectors to ingest log data into SIEM tooling. The ideal candidate will possess a deep understanding of infrastructure as code (IaC) and DevOps Pipelines with Bicep/Terraform and proficiency in scripting/programming languages such as Python/Go. Experience with Sentinel deployments, log management, and threat detection is required, including expertise in dashboard creation, query development, and alert configuration. Additional experience in Splunk deployments is beneficial. This role sits within our MSSP team, as a senior member of the security engineering team focused on growing our SIEM management capabilities and integrating those into our Managed SOC offering in a consistent and professional way. You will work on a variety of projects, the below should be considered key focus areas of the role: Responsibilities Client Onboarding Projects: Lead and execute comprehensive client onboarding processes, ensuring a seamless transition and integration into SOC. Sentinel Proof of Concepts (PoCs): Design, implement, and manage PoCs for Sentinel and Microsoft Sentinel demonstrating their capabilities and value to clients. Custom Data Connectors: Develop, test, and deploy custom data connectors to integrate various data sources into SIEM systems, including Splunk and Azure Sentinel. Infrastructure as Code (IaC): Utilize Bicep and Terraform for automating cloud infrastructure deployment and management, ensuring scalability and consistency. Scripting and Automation: Develop and maintain automation scripts using Python/Go and Function Apps to streamline security operations. SIEM Expertise: Deploy, configure, manage, and optimize Sentinel for security monitoring, log ingestion, query development, and threat detection. Technical Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement. Client Engagement: Work closely with clients to understand their security needs, provide expert advice, and ensure satisfaction with our services. Pre-Sales Support: Work closely with the sales team to accurately scope projects and their deliverables, ensuring proper resource allocation. Documentation and Reporting: Create and maintain comprehensive documentation for projects, processes, and configurations. Why Join Us? Our vision is to create a safe, inclusive digital world where people and organisations can thrive. Our values of Do the Right Thing, One Team and Above and Beyond emphasise the importance of the part we play in society, and our commitment to our people and clients. Our story to-date has been phenomenal, but success doesn't end here and as we continue to grow and scale, we want to keep the same culture, passion and commitment to high quality that has enabled us to get this far. Bridewell will provide a great career opportunity with continual development as well as the following: Competitive Salary 25 Days Holiday - Plus buy and sell options Flexible Working (around core office hours) Company Pension Employee Shareholder Scheme Dedicated Training Budget Life Assurance Cycle to Work Scheme Electric Vehicle Scheme Private Healthcare (incl. Gym discounts) Vision Care Birthday off (After 1 year) About Bridewell One of the most exciting prospects in the UK Cyber Security sector today, Bridewell is one of the fastest growing Cyber Security services businesses with a strong track record for delivering complex security projects and providing excellent customer service. Bridewell has an exciting and varied portfolio of clients across Financial Services, Manufacturing, Oil & Gas, Government, Critical National Infrastructure and more. Bridewell holds the Gold level Investors in People award which we feel solidifies and reflects on the outstanding calibre that makes us truly One Team. Along with our focus on our people, we also have a big focus on sustainability and recognise the role we play in the fight against climate change. Today, Bridewell is proud to be a carbon negative business. Location: Bridewell operates a hybrid and flexible working policy, however you will be required to travel to different sites on occasion. Bridewell values diversity in the workplace and is a fair and equal opportunity employer. We are committed to creating an equal and inclusive working environment, with the aim that our employees will be truly representative of all sections of society and each person feels respected and able to give their best.
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning & AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of customers make sustainable travel choices every day. Within our AI & ML community, we build and operate production-grade systems that power search, pricing, personalisation, marketing optimisation, and increasingly, intelligent AI agents that transform customer support and journey discovery. You'll join a cross-functional team of Machine Learning Engineers and Data Engineers working on some of our most exciting GenAI initiatives. We're building agentic systems such as our Travel Assistant, an AI-powered experience that helps customers with refunds, journey updates, and ticket conditions and expanding into Voice AI agents to intelligently handle and redirect customer queries. This is a team that combines strong ML fundamentals with cutting-edge LLM frameworks (LangGraph, LangChain), RAG architectures, MCP integrations, and production monitoring tools like Braintrust, all deployed on AWS. We value ownership, curiosity, and thoughtful experimentation in a healthy, supportive environment. About The Role This role is focused on designing, building, and operating LLM-powered and predictive ML systems in production. You'll work on agentic AI systems, including our Travel Assistant and Voice AI initiatives, while also contributing to more traditional ML services that the team owns. If you're passionate about GenAI, LLMs, NLP, and shipping robust ML systems end-to-end, this is an opportunity to work at the forefront of applied AI in a high-impact consumer platform. As a Machine Learning Engineer at Trainline, you will Design and build LLM-powered agentic systems using frameworks such as LangGraph and LangChain Develop and optimise RAG pipelines, tool-using agents, and multi-step workflows with appropriate guardrails and validation Monitor and evaluate model and agent performance using appropriate ML metrics (e.g. precision, recall) and production monitoring tools Maintain and improve traditional ML models alongside newer GenAI capabilities Partner closely with stakeholders to frame problems, define success metrics, and deliver measurable business impact Take ownership of technical initiatives, driving delivery from ideation through to production and iteration Contribute to our wider AI & ML community through knowledge sharing, experimentation, and continuous learning We'd love to hear from you if you Have strong experience in Machine Learning with solid foundations in the ML lifecycle, evaluation methodologies, and statistical thinking Have hands on experience with GenAI, Large Language Models, and NLP techniques, including RAG and agent-based systems Are proficient in Python and common ML libraries (e.g. PyTorch, scikit-learn, XGBoost, Pandas) Have experience deploying and operating ML or AI systems in production environments Understand ML Ops and DevOps principles (e.g. Docker, CI/CD, infrastructure as code) Have experience working with cloud infrastructure (preferably AWS) Take ownership of technical tasks and proactively drive solutions forward More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
10/05/2026
Full time
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning & AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of customers make sustainable travel choices every day. Within our AI & ML community, we build and operate production-grade systems that power search, pricing, personalisation, marketing optimisation, and increasingly, intelligent AI agents that transform customer support and journey discovery. You'll join a cross-functional team of Machine Learning Engineers and Data Engineers working on some of our most exciting GenAI initiatives. We're building agentic systems such as our Travel Assistant, an AI-powered experience that helps customers with refunds, journey updates, and ticket conditions and expanding into Voice AI agents to intelligently handle and redirect customer queries. This is a team that combines strong ML fundamentals with cutting-edge LLM frameworks (LangGraph, LangChain), RAG architectures, MCP integrations, and production monitoring tools like Braintrust, all deployed on AWS. We value ownership, curiosity, and thoughtful experimentation in a healthy, supportive environment. About The Role This role is focused on designing, building, and operating LLM-powered and predictive ML systems in production. You'll work on agentic AI systems, including our Travel Assistant and Voice AI initiatives, while also contributing to more traditional ML services that the team owns. If you're passionate about GenAI, LLMs, NLP, and shipping robust ML systems end-to-end, this is an opportunity to work at the forefront of applied AI in a high-impact consumer platform. As a Machine Learning Engineer at Trainline, you will Design and build LLM-powered agentic systems using frameworks such as LangGraph and LangChain Develop and optimise RAG pipelines, tool-using agents, and multi-step workflows with appropriate guardrails and validation Monitor and evaluate model and agent performance using appropriate ML metrics (e.g. precision, recall) and production monitoring tools Maintain and improve traditional ML models alongside newer GenAI capabilities Partner closely with stakeholders to frame problems, define success metrics, and deliver measurable business impact Take ownership of technical initiatives, driving delivery from ideation through to production and iteration Contribute to our wider AI & ML community through knowledge sharing, experimentation, and continuous learning We'd love to hear from you if you Have strong experience in Machine Learning with solid foundations in the ML lifecycle, evaluation methodologies, and statistical thinking Have hands on experience with GenAI, Large Language Models, and NLP techniques, including RAG and agent-based systems Are proficient in Python and common ML libraries (e.g. PyTorch, scikit-learn, XGBoost, Pandas) Have experience deploying and operating ML or AI systems in production environments Understand ML Ops and DevOps principles (e.g. Docker, CI/CD, infrastructure as code) Have experience working with cloud infrastructure (preferably AWS) Take ownership of technical tasks and proactively drive solutions forward More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives. What You'll Bring We're looking for exceptional talent with experience in core Data Science and AI to join us. You will typically have: • +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation. • A bachelor's or master's degree in computer science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. • Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders • Strong technical expertise in Generative AI, Data Science and Machine Learning. • A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment • Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation • Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality • Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation of workshops at peer level and facilitating meetings • Ability to work autonomously while contributing effectively as part of a team • Strong business acumen; can frame complex problems in appropriate business contexts • Highly professional and rigorous, results-oriented, driven and hard-working • Have excellent verbal and written communication skills in English • Loyal and reliable, possessing the highest ethical standard • Good interpersonal skills but also judgement independency and autonomy • Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders Who You'll Work With You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
10/05/2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives. What You'll Bring We're looking for exceptional talent with experience in core Data Science and AI to join us. You will typically have: • +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation. • A bachelor's or master's degree in computer science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. • Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders • Strong technical expertise in Generative AI, Data Science and Machine Learning. • A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment • Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation • Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality • Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation of workshops at peer level and facilitating meetings • Ability to work autonomously while contributing effectively as part of a team • Strong business acumen; can frame complex problems in appropriate business contexts • Highly professional and rigorous, results-oriented, driven and hard-working • Have excellent verbal and written communication skills in English • Loyal and reliable, possessing the highest ethical standard • Good interpersonal skills but also judgement independency and autonomy • Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders Who You'll Work With You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives. What You'll Bring We're looking for exceptional talent with experience in core Data Science and AI to join us. You will typically have: • +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation. • A bachelor's or master's degree in computer science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. • Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders • Strong technical expertise in Generative AI, Data Science and Machine Learning. • A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment • Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation • Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality • Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation of workshops at peer level and facilitating meetings • Ability to work autonomously while contributing effectively as part of a team • Strong business acumen; can frame complex problems in appropriate business contexts • Highly professional and rigorous, results-oriented, driven and hard-working • Have excellent verbal and written communication skills in English • Loyal and reliable, possessing the highest ethical standard • Good interpersonal skills but also judgement independency and autonomy • Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders Who You'll Work With You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
10/05/2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives. What You'll Bring We're looking for exceptional talent with experience in core Data Science and AI to join us. You will typically have: • +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation. • A bachelor's or master's degree in computer science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. • Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders • Strong technical expertise in Generative AI, Data Science and Machine Learning. • A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment • Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation • Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality • Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation of workshops at peer level and facilitating meetings • Ability to work autonomously while contributing effectively as part of a team • Strong business acumen; can frame complex problems in appropriate business contexts • Highly professional and rigorous, results-oriented, driven and hard-working • Have excellent verbal and written communication skills in English • Loyal and reliable, possessing the highest ethical standard • Good interpersonal skills but also judgement independency and autonomy • Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders Who You'll Work With You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
A leading travel technology company in Greater London is searching for a Machine Learning Engineer to design and build LLM-powered systems. The role includes working on GenAI initiatives and traditional ML services. Candidates should have experience with Python, GenAI, large language models, and cloud infrastructure. Excellent benefits include private healthcare, a flexible work model, and career growth opportunities. Join our diverse team and contribute to sustainable travel solutions.
10/05/2026
Full time
A leading travel technology company in Greater London is searching for a Machine Learning Engineer to design and build LLM-powered systems. The role includes working on GenAI initiatives and traditional ML services. Candidates should have experience with Python, GenAI, large language models, and cloud infrastructure. Excellent benefits include private healthcare, a flexible work model, and career growth opportunities. Join our diverse team and contribute to sustainable travel solutions.
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Design, build, test, and maintain Data pipelines, managing data platform, develop integrations from diverse data sources including on-premises systems and external APIs, support and troubleshoot production processes. Contribute to scalable pipeline design, resolve data discrepancies, and ensure SLAs are met while continuously improving data models, code efficiency, and data quality. Adhere to best practices in data integrity, testing, security, and documentation, while continuously expanding technical expertise and staying current with evolving tools and platforms. YOU'RE GOOD AT Developing and maintaining medium-high complexity data pipelines and applications within large-scale data platforms. Applying structured problem-solving skills to analyze data issues and identify root causes. Managing multiple tasks and priorities in a fast-paced, Agile environment. Communicating clearly with both technical and non-technical stakeholders. Working collaboratively in a matrixed organization with diverse teams and varying technical expertise. Demonstrating intellectual curiosity and a willingness to learn new technologies and methodologies. Being a proactive team player with a positive attitude and strong ownership mindset. What You'll Bring Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent practical experience). 4-6 years of relevant experience in Data Engineering. Expertise in SQL, especially within cloud-based data warehouses like Snowflake, API-integrated data pipelines using Python. Hands-on experience with AWS technologies such as AWS Lambda/Glue, S3, and CloudFormation etc. Familiarity with cloud data warehouse platforms such as Snowflake, developing data pipelines in DBT (Data Build Tool); or other ETL/ELT tools, languages and frameworks is a plus. Working knowledge of version controlling tools, CI/CD processes and deployments using tools such as GitHub, Git Actions, Terraform etc. Experience working with semi-structured and unstructured data formats such as JSON and XML. Familiarity with Data orchestration tools such as Airflow. Experience working in Agile/Scrum environments is preferred. Experience within GenAI space is a plus. Who You'll Work With You will be a member of the Data Hub Squad, a team focused on ingesting, transforming, streamlining, and exposing high-quality data to support the Marketing function in making data-driven decisions. You will collaborate closely with the Chapter Lead, Product Owner, other data engineers, analysts, and other teams within the Marketing Portfolio. Additional info This position will involve daily collaboration with the Product Owner, Chapter Lead, other engineers and analysts throughout Agile process. The successful candidate will demonstrate: Strong analytical abilities and creative problem solving Ability to work independently with general direction and flexibility in a fast-paced environment Good organization and excellent communication skills across cultures Integrity and a positive attitude, especially while handling stressful situations Work with project stakeholders to understand business requirements and implement data solutions for diverse problems Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
10/05/2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Design, build, test, and maintain Data pipelines, managing data platform, develop integrations from diverse data sources including on-premises systems and external APIs, support and troubleshoot production processes. Contribute to scalable pipeline design, resolve data discrepancies, and ensure SLAs are met while continuously improving data models, code efficiency, and data quality. Adhere to best practices in data integrity, testing, security, and documentation, while continuously expanding technical expertise and staying current with evolving tools and platforms. YOU'RE GOOD AT Developing and maintaining medium-high complexity data pipelines and applications within large-scale data platforms. Applying structured problem-solving skills to analyze data issues and identify root causes. Managing multiple tasks and priorities in a fast-paced, Agile environment. Communicating clearly with both technical and non-technical stakeholders. Working collaboratively in a matrixed organization with diverse teams and varying technical expertise. Demonstrating intellectual curiosity and a willingness to learn new technologies and methodologies. Being a proactive team player with a positive attitude and strong ownership mindset. What You'll Bring Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent practical experience). 4-6 years of relevant experience in Data Engineering. Expertise in SQL, especially within cloud-based data warehouses like Snowflake, API-integrated data pipelines using Python. Hands-on experience with AWS technologies such as AWS Lambda/Glue, S3, and CloudFormation etc. Familiarity with cloud data warehouse platforms such as Snowflake, developing data pipelines in DBT (Data Build Tool); or other ETL/ELT tools, languages and frameworks is a plus. Working knowledge of version controlling tools, CI/CD processes and deployments using tools such as GitHub, Git Actions, Terraform etc. Experience working with semi-structured and unstructured data formats such as JSON and XML. Familiarity with Data orchestration tools such as Airflow. Experience working in Agile/Scrum environments is preferred. Experience within GenAI space is a plus. Who You'll Work With You will be a member of the Data Hub Squad, a team focused on ingesting, transforming, streamlining, and exposing high-quality data to support the Marketing function in making data-driven decisions. You will collaborate closely with the Chapter Lead, Product Owner, other data engineers, analysts, and other teams within the Marketing Portfolio. Additional info This position will involve daily collaboration with the Product Owner, Chapter Lead, other engineers and analysts throughout Agile process. The successful candidate will demonstrate: Strong analytical abilities and creative problem solving Ability to work independently with general direction and flexibility in a fast-paced environment Good organization and excellent communication skills across cultures Integrity and a positive attitude, especially while handling stressful situations Work with project stakeholders to understand business requirements and implement data solutions for diverse problems Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
10/05/2026
Full time
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
10/05/2026
Full time
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
Trainee AI Programmer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
10/05/2026
Full time
Trainee AI Programmer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
10/05/2026
Full time
Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get 100% online, self-paced training Microsoft AI-900 certification included 1-to-1 tutor and recruitment support Real-world project experience Job guarantee - get a job or your money back Starting salary of £30,000-£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps
Perplexity is looking for experienced Infrastructure Engineers to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of tools, systems, and platforms that empower web, mobile, and browser engineers to build state of the art products. You'll play a critical role in enabling our product, AI, and developer teams to innovate quickly while ensuring reliability, security, and performance at scale. Tech Stack Python Go TypeScript PostgreSQL DynamoDB Redis FastAPI React Bazel GitHub AWS Teams Hiring Platform The Platform team is the backbone of Perplexity's product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This small, high impact group builds and maintains critical infrastructure-from backend systems such as authentication, real time data flows, and service orchestration to frontend frameworks that ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime, and developer productivity, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well architected foundation. DevX DevX (Developer Experience) empowers engineers across Perplexity to build, ship, and iterate faster than ever. The team owns internal platforms for source control, build, test, and deployment-removing friction from every step of product development. They architect seamless onboarding, blazing fast CI/CD, and developer tools that unlock creativity and safety at scale. Through deep collaboration and high autonomy, the DevX team amplifies the impact of every engineer, making rapid, reliable innovation possible across the company. Cloud Infra The Cloud Infra team architects and operates the mission critical cloud infrastructure behind Perplexity's global platform. This team designs and scales compute, storage, and networking systems for high throughput, low latency workloads, blending a mix of proactive project work and operational support. The team collaborates closely with product, AI research, security, and the rest of Perplexity's teams to ensure our services are always available, reliable, and as fast as curiosity demands-building infrastructure that grows in lockstep with user and model scale.
10/05/2026
Full time
Perplexity is looking for experienced Infrastructure Engineers to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of tools, systems, and platforms that empower web, mobile, and browser engineers to build state of the art products. You'll play a critical role in enabling our product, AI, and developer teams to innovate quickly while ensuring reliability, security, and performance at scale. Tech Stack Python Go TypeScript PostgreSQL DynamoDB Redis FastAPI React Bazel GitHub AWS Teams Hiring Platform The Platform team is the backbone of Perplexity's product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This small, high impact group builds and maintains critical infrastructure-from backend systems such as authentication, real time data flows, and service orchestration to frontend frameworks that ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime, and developer productivity, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well architected foundation. DevX DevX (Developer Experience) empowers engineers across Perplexity to build, ship, and iterate faster than ever. The team owns internal platforms for source control, build, test, and deployment-removing friction from every step of product development. They architect seamless onboarding, blazing fast CI/CD, and developer tools that unlock creativity and safety at scale. Through deep collaboration and high autonomy, the DevX team amplifies the impact of every engineer, making rapid, reliable innovation possible across the company. Cloud Infra The Cloud Infra team architects and operates the mission critical cloud infrastructure behind Perplexity's global platform. This team designs and scales compute, storage, and networking systems for high throughput, low latency workloads, blending a mix of proactive project work and operational support. The team collaborates closely with product, AI research, security, and the rest of Perplexity's teams to ensure our services are always available, reliable, and as fast as curiosity demands-building infrastructure that grows in lockstep with user and model scale.
Senior Data Management Professional - Automation Engineer - Classifications Location: London Business Area: Data Ref #: Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team The Classifications team builds and maintains the taxonomies that group companies and securities by business activities and risk profiles. These classifications form the foundation for peer group analysis, benchmarking, and market trend evaluation. When clients compare investment opportunities, evaluate sector exposures, or analyze historical performance, classification data provides the consistent framework that makes these insights possible. We enable clients to: Assess how global, regional, or local industry trends affect portfolios Compare and report on sector exposures versus peers and benchmarks Identify investment opportunities across developed and emerging markets Analyze sector and industry contributions to portfolio performance Build consistently defined, sector-based investment and rotation strategies What's the role? As a Classifications Automation Engineer, you will be responsible for streamlining and scaling the delivery of classification data across asset types by designing and implementing automated workflows. You will partner with stakeholders to identify inefficiencies, apply modern technologies (including AI/ML where appropriate), and build solutions that improve data accuracy, consistency, and timeliness. You will play a key role in transforming manual or semi-manual processes into robust, automated pipelines while developing business intelligence to monitor performance and outcomes. We'll trust you to: Analyze and optimize existing workflows, identifying opportunities for automation and scalability Design, build, and maintain automated data pipelines and tools to improve efficiency and accuracy Evaluate and apply AI/ML/NLP techniques to enhance classification processes and decision-making Partner with Data, Engineering, Product, and Business teams to deliver scalable solutions Develop metrics and monitoring to ensure data quality, timeliness, and operational performance Understand financial datasets and client use cases to inform automation priorities You'll need to have: 4+ years of Python programming and scripting in a production environment Experience building or maintaining automated workflows, pipelines, or data systems Knowledge of Artificial Intelligence (AI), Natural Language Processing (NLP), or Machine Learning (ML) concepts Strong analytical thinking and problem-solving skills with attention to detail Effective communication and collaboration skills across technical and non-technical teams Adaptability and a proactive approach to driving change and improvement We'd love to see: Experience with Agile development methodologies (e.g., Scrum) Familiarity with the Bloomberg Terminal Knowledge of financial markets and instruments Experience with data visualization or BI tools such as Tableau or Qlik Sense Does this sound like you? If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
10/05/2026
Full time
Senior Data Management Professional - Automation Engineer - Classifications Location: London Business Area: Data Ref #: Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team The Classifications team builds and maintains the taxonomies that group companies and securities by business activities and risk profiles. These classifications form the foundation for peer group analysis, benchmarking, and market trend evaluation. When clients compare investment opportunities, evaluate sector exposures, or analyze historical performance, classification data provides the consistent framework that makes these insights possible. We enable clients to: Assess how global, regional, or local industry trends affect portfolios Compare and report on sector exposures versus peers and benchmarks Identify investment opportunities across developed and emerging markets Analyze sector and industry contributions to portfolio performance Build consistently defined, sector-based investment and rotation strategies What's the role? As a Classifications Automation Engineer, you will be responsible for streamlining and scaling the delivery of classification data across asset types by designing and implementing automated workflows. You will partner with stakeholders to identify inefficiencies, apply modern technologies (including AI/ML where appropriate), and build solutions that improve data accuracy, consistency, and timeliness. You will play a key role in transforming manual or semi-manual processes into robust, automated pipelines while developing business intelligence to monitor performance and outcomes. We'll trust you to: Analyze and optimize existing workflows, identifying opportunities for automation and scalability Design, build, and maintain automated data pipelines and tools to improve efficiency and accuracy Evaluate and apply AI/ML/NLP techniques to enhance classification processes and decision-making Partner with Data, Engineering, Product, and Business teams to deliver scalable solutions Develop metrics and monitoring to ensure data quality, timeliness, and operational performance Understand financial datasets and client use cases to inform automation priorities You'll need to have: 4+ years of Python programming and scripting in a production environment Experience building or maintaining automated workflows, pipelines, or data systems Knowledge of Artificial Intelligence (AI), Natural Language Processing (NLP), or Machine Learning (ML) concepts Strong analytical thinking and problem-solving skills with attention to detail Effective communication and collaboration skills across technical and non-technical teams Adaptability and a proactive approach to driving change and improvement We'd love to see: Experience with Agile development methodologies (e.g., Scrum) Familiarity with the Bloomberg Terminal Knowledge of financial markets and instruments Experience with data visualization or BI tools such as Tableau or Qlik Sense Does this sound like you? If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
We're looking for a Data Analyst to help drive and enhance reporting across the GB Retail Facilities Team. You'll enjoy working with large, complex datasets-turning them into clear, accurate management information (MI) packs, dashboards and insight that supports decision making. The role will suit someone who is naturally curious, comfortable challenging data quality, and motivated to automate and streamline reporting to reduce manual manipulation. The Role Own and enhance the Facilities reporting suite: recurring MI packs, performance dashboards and insight outputs. Extract, cleanse, transform and reconcile data from multiple sources, ensuring accuracy, consistency and auditability. Build and maintain robust data models and reporting logic (definitions, calculations, assumptions and controls). Produce clear analysis and commentary, highlighting trends, exceptions, risks/opportunities and insights for stakeholders. Develop and improve dashboards and visualizations. Partner with stakeholders across the GB Retail Facilities Team to understand reporting needs, translate requirements into outputs, and iterate based on feedback. Drive automation and continuous improvement-streamlining processes to reduce reliance on manual spreadsheets and repetitive data manipulation. Establish and monitor data quality checks (e.g. completeness, validity, duplication, outliers) and propose fixes to upstream data issues. Produce supporting documentation (data dictionaries, report specifications, process notes) to enable resilience and continuity. Support ad hoc analysis requests, deep dives and presentations of findings to both technical and non technical audiences. Qualifications What you'll bring Essential Demonstrable experience manipulating large/complex datasets and producing accurate MI/reporting outputs. Strong analytical capability with excellent attention to detail and a clear approach to validation/reconciliation. Advanced Excel capability (e.g., Power Query, pivots, complex formulas; comfort working with messy data). Experience building dashboards and visualizations and presenting findings in a clear, stakeholder friendly way. Experience using AI enabled tools or techniques to support data analysis, reporting, automation, or insight generation. Ability to organize and prioritise multiple deliverables in a fast paced, deadline driven environment. Desirable Knowledge of Power BI (creating interactive reports/dashboards and data modelling). Experience with SQL and/or a scripting language (e.g., Python) for data transformation/automation. Exposure to automation tooling (e.g., Power Automate) and modern MI engineering approaches. Understanding of insurance/broking or financial/operational MI (helpful but not required) What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please
10/05/2026
Full time
We're looking for a Data Analyst to help drive and enhance reporting across the GB Retail Facilities Team. You'll enjoy working with large, complex datasets-turning them into clear, accurate management information (MI) packs, dashboards and insight that supports decision making. The role will suit someone who is naturally curious, comfortable challenging data quality, and motivated to automate and streamline reporting to reduce manual manipulation. The Role Own and enhance the Facilities reporting suite: recurring MI packs, performance dashboards and insight outputs. Extract, cleanse, transform and reconcile data from multiple sources, ensuring accuracy, consistency and auditability. Build and maintain robust data models and reporting logic (definitions, calculations, assumptions and controls). Produce clear analysis and commentary, highlighting trends, exceptions, risks/opportunities and insights for stakeholders. Develop and improve dashboards and visualizations. Partner with stakeholders across the GB Retail Facilities Team to understand reporting needs, translate requirements into outputs, and iterate based on feedback. Drive automation and continuous improvement-streamlining processes to reduce reliance on manual spreadsheets and repetitive data manipulation. Establish and monitor data quality checks (e.g. completeness, validity, duplication, outliers) and propose fixes to upstream data issues. Produce supporting documentation (data dictionaries, report specifications, process notes) to enable resilience and continuity. Support ad hoc analysis requests, deep dives and presentations of findings to both technical and non technical audiences. Qualifications What you'll bring Essential Demonstrable experience manipulating large/complex datasets and producing accurate MI/reporting outputs. Strong analytical capability with excellent attention to detail and a clear approach to validation/reconciliation. Advanced Excel capability (e.g., Power Query, pivots, complex formulas; comfort working with messy data). Experience building dashboards and visualizations and presenting findings in a clear, stakeholder friendly way. Experience using AI enabled tools or techniques to support data analysis, reporting, automation, or insight generation. Ability to organize and prioritise multiple deliverables in a fast paced, deadline driven environment. Desirable Knowledge of Power BI (creating interactive reports/dashboards and data modelling). Experience with SQL and/or a scripting language (e.g., Python) for data transformation/automation. Exposure to automation tooling (e.g., Power Automate) and modern MI engineering approaches. Understanding of insurance/broking or financial/operational MI (helpful but not required) What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please
GitHub is shaping the future of software development in the age of AI agents - and search is at the heart of it. As GitHub's lexical and semantic code search engine, Blackbird powers context retrieval for business critical experiences across the platform and our Copilot products, including Cloud Agent, Code Review, Copilot CLI, and VS Code. We're looking for a Senior Software Engineer to help develop, scale, operate and extend Blackbird. This role is specifically focused on infrastructure, operations, automation, CI/CD, DX, observability, and security. You'll be part of our Copilot Agents organization, positively impacting millions of software developers and AI agents around the world who are building everything from open source to global enterprises. The ideal candidate has strong experience with distributed systems, cloud infrastructure, DevOps, reliability engineering, as well as the ability to work autonomously, learn quickly, and communicate and set technical direction. You will be working within a strong team of staff and principal engineers as well as collaborating with partner teams across the Copilot Agents organization. As a software engineer at GitHub, you will enhance the collaboration experience at GitHub by working closely with a community of engineers and designers with a distributed, diverse and passionate team delivering the services that millions of developers depend on. In this role you will design, prototype, implement, ship and support highly performant and globally scalable code search technology with your team. Responsibilities Own and advocate for the health and quality of the systems that the team builds, including participating in on call and first responder rotations. Drives efforts to collect, classify, and analyze data on a range of metrics (e.g., health of the system, where bugs might be occurring). Drives the refinement of products through data analytics, and makes informed decisions in engineering products through data integration. Considers and drives comprehensive application of automation within production and deployment of a product. Runs code in simulated or other non production environments to confirm functionality and error free runtime for products. Improves development quality, development velocity, and team performance through modeling contributions to improvement of developer tooling. Drives efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Creates and ensures the presence of visible evidence (e.g., audit logs, system reports, security compliance) to demonstrate compliance for products. Leverages subject matter expertise of product features, incorporates service health indicators (e.g., SLOs) to prioritize work focused on, and partners with appropriate stakeholders (e.g., project managers) to drive collaboration on the workgroup's project plans, release plans, and work items. Write architecture briefs and proposals, carry out code experiments, and build prototypes to learn how we can achieve planetary scale with our systems. Design and implement APIs to facilitate seamless integration between software components. Utilize CI/CD tools to set up automated pipelines for continuous integration and delivery. Become intimately familiar with the systems you build and take pride in writing maintainable code. Design, develop, test and ship high quality technical solutions that scale across multiple GitHub services. Qualifications Required Qualifications: 6+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field OR equivalent experience. Preferred Qualifications: Understanding of production system monitoring and observability with skills across network, application, caching, queuing, load balancing, storage and distributed services layers. Passionate about fostering good engineering practices and processes with solid understanding of testing principles and high quality software. 2+ years experience in systems programming, search index internals and information retrieval. GitHub values Customer obsessed Ship to learn Growth mindset Own the outcome Better together Diverse and inclusive Manager fundamentals Model Coach Care Leadership principles Create clarity Generate energy Deliver success Equal Employment Opportunity GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
10/05/2026
Full time
GitHub is shaping the future of software development in the age of AI agents - and search is at the heart of it. As GitHub's lexical and semantic code search engine, Blackbird powers context retrieval for business critical experiences across the platform and our Copilot products, including Cloud Agent, Code Review, Copilot CLI, and VS Code. We're looking for a Senior Software Engineer to help develop, scale, operate and extend Blackbird. This role is specifically focused on infrastructure, operations, automation, CI/CD, DX, observability, and security. You'll be part of our Copilot Agents organization, positively impacting millions of software developers and AI agents around the world who are building everything from open source to global enterprises. The ideal candidate has strong experience with distributed systems, cloud infrastructure, DevOps, reliability engineering, as well as the ability to work autonomously, learn quickly, and communicate and set technical direction. You will be working within a strong team of staff and principal engineers as well as collaborating with partner teams across the Copilot Agents organization. As a software engineer at GitHub, you will enhance the collaboration experience at GitHub by working closely with a community of engineers and designers with a distributed, diverse and passionate team delivering the services that millions of developers depend on. In this role you will design, prototype, implement, ship and support highly performant and globally scalable code search technology with your team. Responsibilities Own and advocate for the health and quality of the systems that the team builds, including participating in on call and first responder rotations. Drives efforts to collect, classify, and analyze data on a range of metrics (e.g., health of the system, where bugs might be occurring). Drives the refinement of products through data analytics, and makes informed decisions in engineering products through data integration. Considers and drives comprehensive application of automation within production and deployment of a product. Runs code in simulated or other non production environments to confirm functionality and error free runtime for products. Improves development quality, development velocity, and team performance through modeling contributions to improvement of developer tooling. Drives efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Creates and ensures the presence of visible evidence (e.g., audit logs, system reports, security compliance) to demonstrate compliance for products. Leverages subject matter expertise of product features, incorporates service health indicators (e.g., SLOs) to prioritize work focused on, and partners with appropriate stakeholders (e.g., project managers) to drive collaboration on the workgroup's project plans, release plans, and work items. Write architecture briefs and proposals, carry out code experiments, and build prototypes to learn how we can achieve planetary scale with our systems. Design and implement APIs to facilitate seamless integration between software components. Utilize CI/CD tools to set up automated pipelines for continuous integration and delivery. Become intimately familiar with the systems you build and take pride in writing maintainable code. Design, develop, test and ship high quality technical solutions that scale across multiple GitHub services. Qualifications Required Qualifications: 6+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field OR equivalent experience. Preferred Qualifications: Understanding of production system monitoring and observability with skills across network, application, caching, queuing, load balancing, storage and distributed services layers. Passionate about fostering good engineering practices and processes with solid understanding of testing principles and high quality software. 2+ years experience in systems programming, search index internals and information retrieval. GitHub values Customer obsessed Ship to learn Growth mindset Own the outcome Better together Diverse and inclusive Manager fundamentals Model Coach Care Leadership principles Create clarity Generate energy Deliver success Equal Employment Opportunity GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Software Engineering Intern - Strategic Student Program About the Role We are seeking a motivated and detail oriented Intern to support a cross product initiative aimed at improving and centralising material databases across our Simcenter portfolio. This role offers hands on experience with industry leading simulation tools and the opportunity to collaborate with multiple development and product management teams. You will help us evaluate existing material databases, unify them into a single high quality repository, and ensure they are accessible in all required formats across our main Simcenter products (including STAR CCM+, FLOEFD, Flotherm, AMESIM, and Simcenter 3D). This 9-month internship based at our Hammersmith, London office is ideal for someone with a passion for engineering, simulation, and scripting, who is eager to contribute to a meaningful, high impact project. What you will be doing Review, assess, and document the quality and quantity of material databases available in core Simcenter products, following an agreed prioritisation. Analyse differences across product databases and propose a consolidation plan to create a unified "One Material Database" containing the best available data. Where possible, document the source of each material property (e.g., research papers, manuals) directly within the database. Develop scripts to generate the unified database in all formats required by each product (e.g., XML for STAR CCM+, JSON style for AMESIM). Collaborate with Development and Product Management teams to ensure the unified database can be integrated, maintained, and supported in future product releases. What you will bring Basic scripting experience. Familiarity with one or more programming languages such as Java, MATLAB, or Python. Competency with Excel for data organisation and analysis. Currently pursuing or recently completed a degree in Mechanical Engineering, Aerospace Engineering, Software Engineering, or a related discipline. Strong attention to detail, analytical thinking, and an enthusiasm for solving technical challenges. Nice to have: Understanding of computational fluid dynamics (CFD), simulation, or fluid mechanics (beneficial). Working at Siemens Software Why us? Working at Siemens Software means flexibility - choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. 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.
10/05/2026
Full time
Software Engineering Intern - Strategic Student Program About the Role We are seeking a motivated and detail oriented Intern to support a cross product initiative aimed at improving and centralising material databases across our Simcenter portfolio. This role offers hands on experience with industry leading simulation tools and the opportunity to collaborate with multiple development and product management teams. You will help us evaluate existing material databases, unify them into a single high quality repository, and ensure they are accessible in all required formats across our main Simcenter products (including STAR CCM+, FLOEFD, Flotherm, AMESIM, and Simcenter 3D). This 9-month internship based at our Hammersmith, London office is ideal for someone with a passion for engineering, simulation, and scripting, who is eager to contribute to a meaningful, high impact project. What you will be doing Review, assess, and document the quality and quantity of material databases available in core Simcenter products, following an agreed prioritisation. Analyse differences across product databases and propose a consolidation plan to create a unified "One Material Database" containing the best available data. Where possible, document the source of each material property (e.g., research papers, manuals) directly within the database. Develop scripts to generate the unified database in all formats required by each product (e.g., XML for STAR CCM+, JSON style for AMESIM). Collaborate with Development and Product Management teams to ensure the unified database can be integrated, maintained, and supported in future product releases. What you will bring Basic scripting experience. Familiarity with one or more programming languages such as Java, MATLAB, or Python. Competency with Excel for data organisation and analysis. Currently pursuing or recently completed a degree in Mechanical Engineering, Aerospace Engineering, Software Engineering, or a related discipline. Strong attention to detail, analytical thinking, and an enthusiasm for solving technical challenges. Nice to have: Understanding of computational fluid dynamics (CFD), simulation, or fluid mechanics (beneficial). Working at Siemens Software Why us? Working at Siemens Software means flexibility - choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. 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.
