We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 02, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Description Project Scheduler Location: This is a Hybrid role. Whiteley, Hampshire Clearance Required: This role will require attainment and maintenance of SC clearance We are seeking an experienced Project Scheduler to take ownership of the Integrated Master Schedule (IMS) for a complex, large-scale programme. This role is critical to providing accurate planning, insight, and assurance across multiple workstreams, ensuring that dependencies, risks, and contractual milestones are clearly understood and effectively managed. The successful candidate will have a strong background in scheduling within complex programmes and be highly skilled in Microsoft Project, with the ability to critically analyse and challenge plans to support confident decision-making. What will I be doing? Develop, maintain, and own the Integrated Master Schedule for the programme. Consolidate schedules from multiple workstreams into a coherent, logically linked master plan. Perform critical path and dependency analysis to identify schedule risks and mitigation options. Review and challenge project plans to ensure realism, robustness, and alignment with contractual milestones. Work closely with Project Managers, PMO, and Programme Leadership to ensure schedule accuracy and integration. Produce schedule-related reporting, analysis, and forecasts for senior stakeholders. Ensure scheduling standards, assumptions, and baseline controls are consistently applied. What does Leidos need from me? Proven experience as a Scheduler or Planning professional on complex programmes or portfolios. Strong understanding of integrated planning, critical path analysis, and schedule assurance. Advanced proficiency in Microsoft Project; experience with integrated master schedules is essential. Ability to analyse and interpret complex plans and provide constructive challenge. Excellent attention to detail and strong organisational skills. Confident communicator, able to engage with stakeholders at all levels of the organisation. Who We Are: Leidos UK & Europe - we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: £44,700.00-£57,300.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Apr 02, 2026
Full time
Description Project Scheduler Location: This is a Hybrid role. Whiteley, Hampshire Clearance Required: This role will require attainment and maintenance of SC clearance We are seeking an experienced Project Scheduler to take ownership of the Integrated Master Schedule (IMS) for a complex, large-scale programme. This role is critical to providing accurate planning, insight, and assurance across multiple workstreams, ensuring that dependencies, risks, and contractual milestones are clearly understood and effectively managed. The successful candidate will have a strong background in scheduling within complex programmes and be highly skilled in Microsoft Project, with the ability to critically analyse and challenge plans to support confident decision-making. What will I be doing? Develop, maintain, and own the Integrated Master Schedule for the programme. Consolidate schedules from multiple workstreams into a coherent, logically linked master plan. Perform critical path and dependency analysis to identify schedule risks and mitigation options. Review and challenge project plans to ensure realism, robustness, and alignment with contractual milestones. Work closely with Project Managers, PMO, and Programme Leadership to ensure schedule accuracy and integration. Produce schedule-related reporting, analysis, and forecasts for senior stakeholders. Ensure scheduling standards, assumptions, and baseline controls are consistently applied. What does Leidos need from me? Proven experience as a Scheduler or Planning professional on complex programmes or portfolios. Strong understanding of integrated planning, critical path analysis, and schedule assurance. Advanced proficiency in Microsoft Project; experience with integrated master schedules is essential. Ability to analyse and interpret complex plans and provide constructive challenge. Excellent attention to detail and strong organisational skills. Confident communicator, able to engage with stakeholders at all levels of the organisation. Who We Are: Leidos UK & Europe - we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: £44,700.00-£57,300.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Apr 02, 2026
Full time
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 02, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
A leading financial institution in Greater London seeks an Associate Applied AI & ML Scientist to design and implement advanced AI/ML solutions in Market Operations. The role demands strong data science skills and collaboration with various stakeholders. Ideal candidates will have a background in data science, machine learning, and relevant programming experience. This position offers a chance to drive innovation in the financial sector.
Apr 02, 2026
Full time
A leading financial institution in Greater London seeks an Associate Applied AI & ML Scientist to design and implement advanced AI/ML solutions in Market Operations. The role demands strong data science skills and collaboration with various stakeholders. Ideal candidates will have a background in data science, machine learning, and relevant programming experience. This position offers a chance to drive innovation in the financial sector.
We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery. You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups. You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical. You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines. You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines. What sets you apart (preferred but not required) You hold a BSc or above in a scientific or technical field. You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery. You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts. Your responsibilities Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation. Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams. Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards. Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes. Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track. Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals. Report to Senior Leadership, ensuring visibility into progress, risks and key decisions. As a member of the operations team, provide wider operational support where needed. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Apr 01, 2026
Full time
We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery. You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups. You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical. You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines. You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines. What sets you apart (preferred but not required) You hold a BSc or above in a scientific or technical field. You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery. You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts. Your responsibilities Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation. Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams. Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards. Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes. Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track. Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals. Report to Senior Leadership, ensuring visibility into progress, risks and key decisions. As a member of the operations team, provide wider operational support where needed. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Research Software Engineer to develop and maintain software across the full quantum control stack, enabling high performance operation of both quantum computers and quantum sensors. This role spans low level hardware integration, real time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings programming expertise, familiarity with hardware adjacent or real time systems, and a strong foundation in scientific or high performance computing, with a passion for building the core software that drives next generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto mechanical engineers, and electrical engineers, to solve complex problems and deliver high quality software solutions. Participate in code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real time embedded kernels to distributed and cloud based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field Master's degree in Engineering, Applied Mathematics, Physics or related field or 2 years of work experience in a scientific domain Experience with modern Python development. Experience in other languages, such as Rust or C++ would be advantageous but not essential. Good verbal and written communication skills, able to effectively share information with technical and non technical staff Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain specific experience in statistics, machine learning, or AMO physics Experience with Linux and virtualization technologies like Docker or Kubernetes Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on real time object detection Experience with databases (relational and non relational) including but not limited to timeseries data, SQL, and ETL processes Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions Experience developing basic GUIs and/or web front end applications EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 01, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Research Software Engineer to develop and maintain software across the full quantum control stack, enabling high performance operation of both quantum computers and quantum sensors. This role spans low level hardware integration, real time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings programming expertise, familiarity with hardware adjacent or real time systems, and a strong foundation in scientific or high performance computing, with a passion for building the core software that drives next generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto mechanical engineers, and electrical engineers, to solve complex problems and deliver high quality software solutions. Participate in code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real time embedded kernels to distributed and cloud based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field Master's degree in Engineering, Applied Mathematics, Physics or related field or 2 years of work experience in a scientific domain Experience with modern Python development. Experience in other languages, such as Rust or C++ would be advantageous but not essential. Good verbal and written communication skills, able to effectively share information with technical and non technical staff Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain specific experience in statistics, machine learning, or AMO physics Experience with Linux and virtualization technologies like Docker or Kubernetes Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on real time object detection Experience with databases (relational and non relational) including but not limited to timeseries data, SQL, and ETL processes Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions Experience developing basic GUIs and/or web front end applications EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Job description Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd Posted Date: Mar 5 2026. At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK's unique access to data. By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines and vaccines. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK's state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research. As a Machine Learning Engineer focusing on applications in oncology, you will be expected to: Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets. Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). • Connect and collaborate with subject matter experts in biology, genomics, and medicine. Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models. Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation. Deploy your algorithms to production to identify actionable insights from large databases. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Master's degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field Experience in Python programming and knowledge in machine learning, statistics, and applied math. Familiarity with modern machine learning methods (generative models, representation learning) Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems Experience with at least one Deep Learning framework such as PyTorch Preferred Qualifications: If you have the following characteristics, they would be a plus: PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field. Experience in analyzing real-world and/or clinical data. Experience in incorporating agentic models into ML workflows Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services. Knowledge of cancer biology and precision oncology. Excellent written and verbal communication skills. Ability to digest, synthesize, and implement innovative methods from scientific literature. Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices. Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day. High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus Publication in natural sciences would be a plus # GSKAIML • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit
Apr 01, 2026
Full time
Job description Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd Posted Date: Mar 5 2026. At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK's unique access to data. By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines and vaccines. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK's state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research. As a Machine Learning Engineer focusing on applications in oncology, you will be expected to: Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets. Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). • Connect and collaborate with subject matter experts in biology, genomics, and medicine. Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models. Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation. Deploy your algorithms to production to identify actionable insights from large databases. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Master's degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field Experience in Python programming and knowledge in machine learning, statistics, and applied math. Familiarity with modern machine learning methods (generative models, representation learning) Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems Experience with at least one Deep Learning framework such as PyTorch Preferred Qualifications: If you have the following characteristics, they would be a plus: PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field. Experience in analyzing real-world and/or clinical data. Experience in incorporating agentic models into ML workflows Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services. Knowledge of cancer biology and precision oncology. Excellent written and verbal communication skills. Ability to digest, synthesize, and implement innovative methods from scientific literature. Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices. Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day. High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus Publication in natural sciences would be a plus # GSKAIML • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit
At UnlikelyAI, we're looking for a visionary Staff Applied Scientist to play a key leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities - ideal for someone who combines technical depth with a passion for helping others grow. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride. Vision Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning - and you'll be instrumental in shaping that. Tech Our technology is truly novel. You'll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand. What You'll Do: Convert cutting-edge research in neurosymbolic AI into real, production grade language generation systems. Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning. Lead applied research projects end to end: from ideation and literature review to prototyping and deployment. Write high quality, robust code that integrates neural and symbolic components. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non technical audiences. Analyse and inspect large scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Demonstrable experience leading in an individual contributor capacity-setting technical direction, influencing others, and delivering high impact work without direct management responsibilities. Experience mentoring and coaching colleagues, offering guidance on both technical and professional development. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end to end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting edge technologies which you may not already be deeply familiar with. Excellent verbal and written communication skills with a proven track record of mentoring and coaching others. Capable of working collaboratively and proactively in a fast paced environment with scientists, engineers, and non technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start up experience. Git/Github Proficiency working with cloud platforms for deploying hybrid AI systems. Please see our Company Principles to understand the core things we value - in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact. Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Compensation: Compensation will be through salary and generous share options. The company has a tax efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Apr 01, 2026
Full time
At UnlikelyAI, we're looking for a visionary Staff Applied Scientist to play a key leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities - ideal for someone who combines technical depth with a passion for helping others grow. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride. Vision Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning - and you'll be instrumental in shaping that. Tech Our technology is truly novel. You'll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand. What You'll Do: Convert cutting-edge research in neurosymbolic AI into real, production grade language generation systems. Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning. Lead applied research projects end to end: from ideation and literature review to prototyping and deployment. Write high quality, robust code that integrates neural and symbolic components. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non technical audiences. Analyse and inspect large scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Demonstrable experience leading in an individual contributor capacity-setting technical direction, influencing others, and delivering high impact work without direct management responsibilities. Experience mentoring and coaching colleagues, offering guidance on both technical and professional development. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end to end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting edge technologies which you may not already be deeply familiar with. Excellent verbal and written communication skills with a proven track record of mentoring and coaching others. Capable of working collaboratively and proactively in a fast paced environment with scientists, engineers, and non technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start up experience. Git/Github Proficiency working with cloud platforms for deploying hybrid AI systems. Please see our Company Principles to understand the core things we value - in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact. Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Compensation: Compensation will be through salary and generous share options. The company has a tax efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Join us at EIT: At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focussed on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant-based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Your Role: At EIT we are seeking an accomplished leader to serve as Head of Bioinformatics for the Plant Biology Institute. This pivotal role will shape a newly established and rapidly scaling Plant Biology Institute that aspires to become a global leader in delivering scientific breakthroughs with real world impact. aspires to become a global leader in delivering scientific breakthroughs with real world impact. The successful candidate will establish and lead PBI's bioinformatics function, delivering analytical capabilities and workflows to support PBI's trait and technology research groups. This role requires close collaboration with research scientists working across a broad range of products including large scale genome and transcriptome sequencing, evolutionary biology, plant and microbial genome and metabolic engineering, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip, and operate a new function within the research institute. Your Responsibilities: To lead and manage the informatics and bioinformatics function, delivering robust analytical capabilities to support the interpretation of genomic, transcriptomic, proteomic, metabolomic, phenotypic, computer vision/imaging, and other biological datasets produced by PBI researchers. To develop and implement bioinformatics strategies and workflows that support the experimental programmes of PBI. To work closely with researchers and group leads to develop and refine computational pipelines for analysing data. To recruit, lead, and mentor a team of bioinformaticians and computational biologists, building capacity in biological data analysis and interpretation. To develop and maintain pipelines for processing high throughput datasets. To ensure reproducibility, version control, and documentation for all analyses and pipelines, contributing to open science and collaborative research. To work at the cutting edge of bioinformatics methods and tools, developing new methodologies and applications and redefining how they can be applied to accelerate discovery. Manage resources - including personnel, equipment, and budgets - in coordination with the senior leadership team. Essential Skills, Qualifications & Experience: An advanced degree in informatics, computer science, data science, bioinformatics, or a related field, with strong experience working in a research or scientific environment. Experience in building and leading informatics functions, including managing teams, developing data infrastructure, and delivering end to end informatics solutions. Proven track record of designing and implementing data systems that support large scale scientific data capture, analysis, and integration. Demonstrated ability to collaborate with multidisciplinary teams, including scientists, software engineers, and operational stakeholders, to deliver fit for purpose data tools. Strong technical expertise in: Data architecture and engineering (e.g. SQL, NoSQL, ETL pipelines), programming languages such as Python, Linux, API development and system interoperability, data governance and compliance (e.g. GDPR, security standards). Experience working within a laboratory or scientific research setting, with a strong understanding of the data needs and challenges across experimental workflows. Track record of effectively leading and developing people and teams, with a commitment to innovation, scalability, and reliability. Strong communication and stakeholder engagement skills, with the ability to translate technical solutions into strategic value for the organisation. Our Benefits: Competitive salary + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit What we offer: Newly constructed, state of the art laboratories and growth facilities, core scientific and operational support, with substantial core funding. A collaborative research environment with highly skilled team working at the cutting edge of plant science to create commercially sustainable solutions that tackle humanity's biggest challenges, including enabling sustainable agriculture and improving the climate and ecosystem outcomes of food production.
Apr 01, 2026
Full time
Join us at EIT: At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focussed on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant-based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Your Role: At EIT we are seeking an accomplished leader to serve as Head of Bioinformatics for the Plant Biology Institute. This pivotal role will shape a newly established and rapidly scaling Plant Biology Institute that aspires to become a global leader in delivering scientific breakthroughs with real world impact. aspires to become a global leader in delivering scientific breakthroughs with real world impact. The successful candidate will establish and lead PBI's bioinformatics function, delivering analytical capabilities and workflows to support PBI's trait and technology research groups. This role requires close collaboration with research scientists working across a broad range of products including large scale genome and transcriptome sequencing, evolutionary biology, plant and microbial genome and metabolic engineering, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip, and operate a new function within the research institute. Your Responsibilities: To lead and manage the informatics and bioinformatics function, delivering robust analytical capabilities to support the interpretation of genomic, transcriptomic, proteomic, metabolomic, phenotypic, computer vision/imaging, and other biological datasets produced by PBI researchers. To develop and implement bioinformatics strategies and workflows that support the experimental programmes of PBI. To work closely with researchers and group leads to develop and refine computational pipelines for analysing data. To recruit, lead, and mentor a team of bioinformaticians and computational biologists, building capacity in biological data analysis and interpretation. To develop and maintain pipelines for processing high throughput datasets. To ensure reproducibility, version control, and documentation for all analyses and pipelines, contributing to open science and collaborative research. To work at the cutting edge of bioinformatics methods and tools, developing new methodologies and applications and redefining how they can be applied to accelerate discovery. Manage resources - including personnel, equipment, and budgets - in coordination with the senior leadership team. Essential Skills, Qualifications & Experience: An advanced degree in informatics, computer science, data science, bioinformatics, or a related field, with strong experience working in a research or scientific environment. Experience in building and leading informatics functions, including managing teams, developing data infrastructure, and delivering end to end informatics solutions. Proven track record of designing and implementing data systems that support large scale scientific data capture, analysis, and integration. Demonstrated ability to collaborate with multidisciplinary teams, including scientists, software engineers, and operational stakeholders, to deliver fit for purpose data tools. Strong technical expertise in: Data architecture and engineering (e.g. SQL, NoSQL, ETL pipelines), programming languages such as Python, Linux, API development and system interoperability, data governance and compliance (e.g. GDPR, security standards). Experience working within a laboratory or scientific research setting, with a strong understanding of the data needs and challenges across experimental workflows. Track record of effectively leading and developing people and teams, with a commitment to innovation, scalability, and reliability. Strong communication and stakeholder engagement skills, with the ability to translate technical solutions into strategic value for the organisation. Our Benefits: Competitive salary + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit What we offer: Newly constructed, state of the art laboratories and growth facilities, core scientific and operational support, with substantial core funding. A collaborative research environment with highly skilled team working at the cutting edge of plant science to create commercially sustainable solutions that tackle humanity's biggest challenges, including enabling sustainable agriculture and improving the climate and ecosystem outcomes of food production.
London, United Kingdom Posted on 11/25/2024 We're thrilled to present an incredible career opportunity! We're recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking an Applied Scientist experienced in Generative AI and large models. What you'll do: You will take the lead in developing machine learning models capable of handling very large datasets across various dimensions. With a commitment to scientific precision, you will design and conduct experiments to validate the technical performance and business impact of your approaches. Collaborating closely with fellow scientists and engineering teams, you will ensure your research is seamlessly integrated into production systems. Key responsibilities: Create machine learning algorithms to solve large scale recommendation challenges. Quickly design, test, and refine multiple hypotheses in an uncertain environment, using data analysis and business insights. Work closely with software engineers to implement successful experiments into the company's processes. Share findings and insights effectively with both technical and non technical audiences through presentations and reports. Requirements BASICQUALIFICATIONS PhD, or a Master's degree and experience in CS/CE/ML or related field research. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing. Experience programming in Java, C++, Python or related language. Experience in building machine learning models for business application. Experience in patents or publications at top tier peer reviewed conferences or journals. PREFERREDQUALIFICATIONS Experience in professional software development. Benefits Immigration support: The company provides support for your immigration process to the United Kingdom. Competitive salary: Enjoy a competitive salary package reflective of your skills and experience. Global experience: Gain international experience by working with a diverse team in a dynamic region.
Apr 01, 2026
Full time
London, United Kingdom Posted on 11/25/2024 We're thrilled to present an incredible career opportunity! We're recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking an Applied Scientist experienced in Generative AI and large models. What you'll do: You will take the lead in developing machine learning models capable of handling very large datasets across various dimensions. With a commitment to scientific precision, you will design and conduct experiments to validate the technical performance and business impact of your approaches. Collaborating closely with fellow scientists and engineering teams, you will ensure your research is seamlessly integrated into production systems. Key responsibilities: Create machine learning algorithms to solve large scale recommendation challenges. Quickly design, test, and refine multiple hypotheses in an uncertain environment, using data analysis and business insights. Work closely with software engineers to implement successful experiments into the company's processes. Share findings and insights effectively with both technical and non technical audiences through presentations and reports. Requirements BASICQUALIFICATIONS PhD, or a Master's degree and experience in CS/CE/ML or related field research. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing. Experience programming in Java, C++, Python or related language. Experience in building machine learning models for business application. Experience in patents or publications at top tier peer reviewed conferences or journals. PREFERREDQUALIFICATIONS Experience in professional software development. Benefits Immigration support: The company provides support for your immigration process to the United Kingdom. Competitive salary: Enjoy a competitive salary package reflective of your skills and experience. Global experience: Gain international experience by working with a diverse team in a dynamic region.
At UnlikelyAI, we're looking for a Senior Applied Scientist to join our Applied Science team. This is a high-impact individual contributor position. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride. Vision - Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning - and you'll be instrumental in shaping that. Tech - Our technology is truly novel. You'll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand. What You'll Do: Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems. Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning. Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment. Write high-quality, robust code that integrates neural and symbolic components. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with. Excellent verbal and written communication skills with a proven track record of mentoring and coaching others. Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start-up experience. Git/Github Proficiency working with cloud platforms for deploying hybrid AI systems. Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Compensation: Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Apr 01, 2026
Full time
At UnlikelyAI, we're looking for a Senior Applied Scientist to join our Applied Science team. This is a high-impact individual contributor position. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride. Vision - Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning - and you'll be instrumental in shaping that. Tech - Our technology is truly novel. You'll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand. What You'll Do: Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems. Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning. Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment. Write high-quality, robust code that integrates neural and symbolic components. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with. Excellent verbal and written communication skills with a proven track record of mentoring and coaching others. Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start-up experience. Git/Github Proficiency working with cloud platforms for deploying hybrid AI systems. Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Compensation: Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Applied Scientist, Offer Recommendations (Offers Tech) London, United Kingdom Posted on 11/05/2024 We're thrilled to present anincredible career opportunity! We're recruiting on behalf of a renownedmultinational company based in the United Kingdom, seeking an Applied Scientistto drive cutting-edge research in machine learning and create scalable personalizationsolutions . What you'lldo: In this role, you'll spearhead the developmentof machine learning models capable of processing vast amounts of data anddelivering low-latency recommendations to customers globally. With a commitmentto scientific rigor, you'll design and conduct experiments that showcase boththe technical strength and business impact of your models. Collaboratingclosely with a dedicated team of scientists and engineers, you'll drive thecreation of innovative recommendation systems that put customer needs first,enhancing the company's reputation as a global leader in machine learning andpersonalisation. Key responsibilities: Design and implementpersonalized recommendation systems across customer touchpoints. Collaborate with engineersto deploy models into scalable, low-latency production systems. Provide machine learninginsights to guide strategic business and technical decisions. Lead the science roadmap,aligning research goals with organizational priorities. Work with product managers to createcustomer-focused, machine-backed solutions. Share results through rigorous, impactfulreports for team and scientific audiences. Requirements Basicqualifications: PhD, or a Master's degree andexperience in CS, CE, ML or related field research Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Experience with contextual bandits, off-policy evaluation and learning torank models Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions. Preferredqualifications: Experience using Unix/Linux Experience in professional software development Experience working within an Agile environment working with softwareengineers to launch products for customers. Immigration support: The company provides support foryour immigration process to the United Kingdom. Competitive Salary:Enjoy a competitive salarypackage reflective of your skills and experience. Global Experience: Gain internationalexperience by working with a diverse team in a dynamic region.
Apr 01, 2026
Full time
Applied Scientist, Offer Recommendations (Offers Tech) London, United Kingdom Posted on 11/05/2024 We're thrilled to present anincredible career opportunity! We're recruiting on behalf of a renownedmultinational company based in the United Kingdom, seeking an Applied Scientistto drive cutting-edge research in machine learning and create scalable personalizationsolutions . What you'lldo: In this role, you'll spearhead the developmentof machine learning models capable of processing vast amounts of data anddelivering low-latency recommendations to customers globally. With a commitmentto scientific rigor, you'll design and conduct experiments that showcase boththe technical strength and business impact of your models. Collaboratingclosely with a dedicated team of scientists and engineers, you'll drive thecreation of innovative recommendation systems that put customer needs first,enhancing the company's reputation as a global leader in machine learning andpersonalisation. Key responsibilities: Design and implementpersonalized recommendation systems across customer touchpoints. Collaborate with engineersto deploy models into scalable, low-latency production systems. Provide machine learninginsights to guide strategic business and technical decisions. Lead the science roadmap,aligning research goals with organizational priorities. Work with product managers to createcustomer-focused, machine-backed solutions. Share results through rigorous, impactfulreports for team and scientific audiences. Requirements Basicqualifications: PhD, or a Master's degree andexperience in CS, CE, ML or related field research Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Experience with contextual bandits, off-policy evaluation and learning torank models Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions. Preferredqualifications: Experience using Unix/Linux Experience in professional software development Experience working within an Agile environment working with softwareengineers to launch products for customers. Immigration support: The company provides support foryour immigration process to the United Kingdom. Competitive Salary:Enjoy a competitive salarypackage reflective of your skills and experience. Global Experience: Gain internationalexperience by working with a diverse team in a dynamic region.
A cutting-edge AI company in London is seeking a visionary Staff Applied Scientist to lead projects in neurosymbolic AI. The ideal candidate will have deep learning expertise, mentoring skills, and proficiency in Python and ML frameworks. You will drive the end-to-end lifecycle of projects, from ideation to deployment, within a collaborative team focused on innovative machine learning solutions. This position offers a hybrid work model with opportunities for growth and significant compensation through salary and equity.
Apr 01, 2026
Full time
A cutting-edge AI company in London is seeking a visionary Staff Applied Scientist to lead projects in neurosymbolic AI. The ideal candidate will have deep learning expertise, mentoring skills, and proficiency in Python and ML frameworks. You will drive the end-to-end lifecycle of projects, from ideation to deployment, within a collaborative team focused on innovative machine learning solutions. This position offers a hybrid work model with opportunities for growth and significant compensation through salary and equity.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialise learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchenp> Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. Interested in building your career at Intercom? Get future opportunities sent straight to your email.
Apr 01, 2026
Full time
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialise learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchenp> Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. Interested in building your career at Intercom? Get future opportunities sent straight to your email.
A technology company in Greater London is seeking an experienced Machine Learning Engineer to join their dedicated team. The role involves mentoring engineers and driving the technical standards while working on innovative ML solutions. Ideal candidates will have extensive experience in applied ML and a significant track record of impactful contributions. The position offers competitive salary, equity, and a hybrid work environment with a strong emphasis on diversity and inclusion.
Apr 01, 2026
Full time
A technology company in Greater London is seeking an experienced Machine Learning Engineer to join their dedicated team. The role involves mentoring engineers and driving the technical standards while working on innovative ML solutions. Ideal candidates will have extensive experience in applied ML and a significant track record of impactful contributions. The position offers competitive salary, equity, and a hybrid work environment with a strong emphasis on diversity and inclusion.
# Our Privacy Statement & Cookie Policy Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, )We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by stateof-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data- driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Required qualifications: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity Preferred qualifications : High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Thomson Reuters informs the way forward by bringing together
Apr 01, 2026
Full time
# Our Privacy Statement & Cookie Policy Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, )We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by stateof-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data- driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Required qualifications: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity Preferred qualifications : High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Thomson Reuters informs the way forward by bringing together
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Apr 01, 2026
Full time
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Site Manager - Highways & Civil Engineering Deliver Key Infrastructure Projects Across Scotland Are you an experienced Site Manager looking for the opportunity to lead highways and civil engineering works across Scotland? This is an excellent opportunity for a Site Manager who enjoys leading site teams, ensuring safe project delivery and playing a key role in maintaining vital transport infrastructure. My client is seeking a motivated Site Manager who thrives in a fast-paced environment where you will oversee day-to-day site operations and ensure projects are delivered to the highest standards of safety, quality and efficiency. As Site Manager, you will play a key role in coordinating site teams and ensuring works are delivered in line with programme and specification. About the Company My client is a well-established infrastructure contractor delivering specialist civil engineering and highways services across the UK. Their capabilities span areas including drainage solutions, safety barriers, structural maintenance and infrastructure technology. The business has built a strong reputation for delivering innovative and high-quality infrastructure solutions while maintaining a strong focus on safety, operational excellence and employee wellbeing. The Role and Responsibilities As Site Manager, you will oversee the day-to-day running of site operations across highways and civil engineering projects. You will act as the key link between site teams and office-based management, ensuring works are delivered safely, efficiently and in line with programme requirements. In this Site Manager role you will be doing the following: Managing daily site operations across highways and civil engineering works Ensuring all works are delivered in line with project specifications and CDM 2015 requirements Undertaking and recording weekly SHE inspections Ensuring method statements, risk assessments and permits are in place prior to works commencing Delivering start briefings and toolbox talks to site teams Ensuring plant, machinery and equipment are fit for purpose and daily inspections are completed Keeping project and contract managers informed of progress and any changes to works scope Coaching and supporting new starters and site team members Completing daily site diaries detailing labour, plant, site conditions and progress of works Ensuring material and resource levels are maintained on site Must Have Skills and Experience To succeed as Site Manager, you will ideally have experience delivering highways or civil engineering projects and leading site teams in operational environments. My client is looking for a Site Manager who has: Previous site management experience within Highways or Civil Engineering projects Strong understanding of health and safety legislation within construction environments CSCS Supervisor Gold Card SMSTS certification Strong communication and leadership skills when managing multi-disciplinary teams Good IT skills for reporting, site documentation and project communication You will also need to be flexible and willing to travel to project sites across Scotland, including occasional night or weekend work when required. Salary and Benefits Salary up to £50,000 Company vehicle and fuel card Mobile phone and laptop provided PPE provided Additional night shift allowance Generous holiday allowance Pension scheme Online rewards platform with access to 900+ retailers Group Income Protection Death in Service benefit Salary is dependent on experience. Career Development, Location and Working Pattern This Site Manager role is based in Edinburgh, with regular travel to project sites across Scotland. You will be joining a growing infrastructure contractor where you will gain exposure to a wide range of highways and civil engineering works while developing your leadership experience within site operations. This opportunity offers long-term career progression within a company that values innovation, collaboration and the wellbeing of its workforce. Interested in Learning More? If you are interested in this Site Manager opportunity and would like to discuss the role further, please apply with your CV or contact us for a confidential discussion. Note By applying for this position, you are agreeing for Carrington West to hold and process your personal data in accordance with our Data Protection Policy. Your data will be shared with third-party clients specifically relevant to any roles you have applied for. If at any stage, you wish to withdraw your consent please contact us.
Apr 01, 2026
Full time
Site Manager - Highways & Civil Engineering Deliver Key Infrastructure Projects Across Scotland Are you an experienced Site Manager looking for the opportunity to lead highways and civil engineering works across Scotland? This is an excellent opportunity for a Site Manager who enjoys leading site teams, ensuring safe project delivery and playing a key role in maintaining vital transport infrastructure. My client is seeking a motivated Site Manager who thrives in a fast-paced environment where you will oversee day-to-day site operations and ensure projects are delivered to the highest standards of safety, quality and efficiency. As Site Manager, you will play a key role in coordinating site teams and ensuring works are delivered in line with programme and specification. About the Company My client is a well-established infrastructure contractor delivering specialist civil engineering and highways services across the UK. Their capabilities span areas including drainage solutions, safety barriers, structural maintenance and infrastructure technology. The business has built a strong reputation for delivering innovative and high-quality infrastructure solutions while maintaining a strong focus on safety, operational excellence and employee wellbeing. The Role and Responsibilities As Site Manager, you will oversee the day-to-day running of site operations across highways and civil engineering projects. You will act as the key link between site teams and office-based management, ensuring works are delivered safely, efficiently and in line with programme requirements. In this Site Manager role you will be doing the following: Managing daily site operations across highways and civil engineering works Ensuring all works are delivered in line with project specifications and CDM 2015 requirements Undertaking and recording weekly SHE inspections Ensuring method statements, risk assessments and permits are in place prior to works commencing Delivering start briefings and toolbox talks to site teams Ensuring plant, machinery and equipment are fit for purpose and daily inspections are completed Keeping project and contract managers informed of progress and any changes to works scope Coaching and supporting new starters and site team members Completing daily site diaries detailing labour, plant, site conditions and progress of works Ensuring material and resource levels are maintained on site Must Have Skills and Experience To succeed as Site Manager, you will ideally have experience delivering highways or civil engineering projects and leading site teams in operational environments. My client is looking for a Site Manager who has: Previous site management experience within Highways or Civil Engineering projects Strong understanding of health and safety legislation within construction environments CSCS Supervisor Gold Card SMSTS certification Strong communication and leadership skills when managing multi-disciplinary teams Good IT skills for reporting, site documentation and project communication You will also need to be flexible and willing to travel to project sites across Scotland, including occasional night or weekend work when required. Salary and Benefits Salary up to £50,000 Company vehicle and fuel card Mobile phone and laptop provided PPE provided Additional night shift allowance Generous holiday allowance Pension scheme Online rewards platform with access to 900+ retailers Group Income Protection Death in Service benefit Salary is dependent on experience. Career Development, Location and Working Pattern This Site Manager role is based in Edinburgh, with regular travel to project sites across Scotland. You will be joining a growing infrastructure contractor where you will gain exposure to a wide range of highways and civil engineering works while developing your leadership experience within site operations. This opportunity offers long-term career progression within a company that values innovation, collaboration and the wellbeing of its workforce. Interested in Learning More? If you are interested in this Site Manager opportunity and would like to discuss the role further, please apply with your CV or contact us for a confidential discussion. Note By applying for this position, you are agreeing for Carrington West to hold and process your personal data in accordance with our Data Protection Policy. Your data will be shared with third-party clients specifically relevant to any roles you have applied for. If at any stage, you wish to withdraw your consent please contact us.
Founding Applied Scientist Build AI systems that learn from experience to move real business metrics London / Remote Full-time Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Applied Scientist, you will operate at the intersection of research and engineering, building the core systems that allow AI teammates to learn from enterprise environments, reason over tribal knowledge, and drive measurable business impact. You will help shape how applied science is practiced in the industry in the age of agents. This is a high-autonomy role for a builder who wants to move beyond static benchmarks and solve the "last mile" problem of AI reliability and agency in the enterprise. What You'll Build You will research, design, and ship the next generation of our system architecture, focusing on: Agents & Tribal Knowledge Systems: Design multi-agent architectures that tackle complex, long-horizon tasks. Solve High-Impact Applied Science Problems: Lead the charge in identifying, scoping, and solving complex business problems using machine learning. This includes everything from improving user engagement and retention to optimizing pricing and inventory. Partner with Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using the Pavo AI platform, extending its capabilities where necessary to handle large-scale user-centric systems. What We Are Looking For We are looking for exceptional individuals who can operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to end system design: from feature stores and real time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops in production. Algorithmic Depth: Strong foundations in core ML approaches used in large-scale search/recsys (embeddings, retrieval & ranking, GNNs, bandits) combined with expertise in the frontier stack (LLMs, RL, multi agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high growth AI startup. Publications in top tier ML conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys). Background in recommender systems, personalization, causal inference, or computational advertising. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Apr 01, 2026
Full time
Founding Applied Scientist Build AI systems that learn from experience to move real business metrics London / Remote Full-time Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Applied Scientist, you will operate at the intersection of research and engineering, building the core systems that allow AI teammates to learn from enterprise environments, reason over tribal knowledge, and drive measurable business impact. You will help shape how applied science is practiced in the industry in the age of agents. This is a high-autonomy role for a builder who wants to move beyond static benchmarks and solve the "last mile" problem of AI reliability and agency in the enterprise. What You'll Build You will research, design, and ship the next generation of our system architecture, focusing on: Agents & Tribal Knowledge Systems: Design multi-agent architectures that tackle complex, long-horizon tasks. Solve High-Impact Applied Science Problems: Lead the charge in identifying, scoping, and solving complex business problems using machine learning. This includes everything from improving user engagement and retention to optimizing pricing and inventory. Partner with Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using the Pavo AI platform, extending its capabilities where necessary to handle large-scale user-centric systems. What We Are Looking For We are looking for exceptional individuals who can operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to end system design: from feature stores and real time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops in production. Algorithmic Depth: Strong foundations in core ML approaches used in large-scale search/recsys (embeddings, retrieval & ranking, GNNs, bandits) combined with expertise in the frontier stack (LLMs, RL, multi agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high growth AI startup. Publications in top tier ML conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys). Background in recommender systems, personalization, causal inference, or computational advertising. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
