Principal Scientist, Translational Data SciencesClosing Date: 2nd September 2026 (COB)Business IntroductionAt GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together.Find out more:Our approach to R&DFor candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029 .Position SummaryYou will lead translational data science efforts that turn human genetics and multi-omic data into clear decisions for drug discovery. You will work closely with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams. We value clear communication, practical problem solving, curiosity and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together.ResponsibilitiesThis role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:- Design and run rigorous, reproducible analyses of large-scale genetic and multi-omic datasets to address translational questions.- Integrate genetics, proteomics, transcriptomics and clinical data to prioritise targets, nominate biomarkers, and define patient subgroups.- Build and maintain analysis workflows and tools following reproducible research and FAIR data principles.- Translate analytic results into clear recommendations for project teams and leaders.- Collaborate across functions and with external partners to shape study design, data generation and interpretation.- Mentor and support junior colleagues to share methods, standards and practical best practice.Why You?Basic QualificationWe are seeking professionals with the following required skills and qualifications to help us achieve our goals.Physical sciences (Maths, Computer Science, Physics, Chemistry, Engineering etc) or Biological sciences (Biology, Biochemistry, Bioengineering etc) undergraduate degree or Medical degree.PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline.Strong hands-on experience analysing large-scale genetic and multi-omic datasets.Proficient programming skills in Python and experience with reproducible workflows and version control.Experience integrating molecular data with clinical or phenotypic data to answer translational questions.Proven ability to communicate complex results clearly to scientific and non-technical audiences.Willingness and ability to work in a hybrid model with regular on-site presence in the United Kingdom as required by the Performance with Choice policy.Preferred QualificationIf you have the following characteristics, it would be a plus:Track record of peer-reviewed publications or major scientific contributions in genetics or translational genomics.Experience with cloud or distributed computing platforms and large-scale data processing tools.Familiarity with causal inference, biomarker discovery, and patient stratification methods.Experience with single-cell, spatial omics, proteomics or other emerging molecular technologies.Experience working within multi-disciplinary project teams in industry or academia.Experience contributing to production-ready pipelines or shared analysis platforms.Location and Working ModelThis role is based in the United Kingdom. The position is offered on a hybrid working model that combines time working remotely and time in office to support collaboration and development.How to ApplyWe welcome applicants from all backgrounds. If this role matches your skills and interests, please apply and tell us how your experience maps to the responsibilities and qualifications above. We look forward to learning about the impact you could make at GSKSkillsApplied Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software EngineeringGermany Salary Range / Gehaltsbandbreiten Deutschland: EUR 74,250 to EUR 123,750For positions covered by collective bargaining, employment conditions and remuneration are determined by the applicable collective agreements for the chemical industry as well as internal policies. More detailed information on compensation will be provided during the recruitment process. Depending on the role and internal policies, the position may also be eligible for a bonus (if applicable and based on defined, non-discretionary criteria) and/or awards for exceptional performance (granted at the employer's discretion). All benefits arising from the applicable collective bargaining agreement, such as holiday allowance and additional paid time off, will be provided in full, in accordance with that agreement and German law. Other benefits may also be offered, which may include health & wellbeing benefits, pension plan and paid parental leave & care of family member leave.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.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.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receiveImportant notice to Employment businesses/ AgenciesGSK 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 the Centers for Medicare and Medicaid Services (CMS) website at
Aug 25, 2026
Full time
Principal Scientist, Translational Data SciencesClosing Date: 2nd September 2026 (COB)Business IntroductionAt GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together.Find out more:Our approach to R&DFor candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029 .Position SummaryYou will lead translational data science efforts that turn human genetics and multi-omic data into clear decisions for drug discovery. You will work closely with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams. We value clear communication, practical problem solving, curiosity and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together.ResponsibilitiesThis role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:- Design and run rigorous, reproducible analyses of large-scale genetic and multi-omic datasets to address translational questions.- Integrate genetics, proteomics, transcriptomics and clinical data to prioritise targets, nominate biomarkers, and define patient subgroups.- Build and maintain analysis workflows and tools following reproducible research and FAIR data principles.- Translate analytic results into clear recommendations for project teams and leaders.- Collaborate across functions and with external partners to shape study design, data generation and interpretation.- Mentor and support junior colleagues to share methods, standards and practical best practice.Why You?Basic QualificationWe are seeking professionals with the following required skills and qualifications to help us achieve our goals.Physical sciences (Maths, Computer Science, Physics, Chemistry, Engineering etc) or Biological sciences (Biology, Biochemistry, Bioengineering etc) undergraduate degree or Medical degree.PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline.Strong hands-on experience analysing large-scale genetic and multi-omic datasets.Proficient programming skills in Python and experience with reproducible workflows and version control.Experience integrating molecular data with clinical or phenotypic data to answer translational questions.Proven ability to communicate complex results clearly to scientific and non-technical audiences.Willingness and ability to work in a hybrid model with regular on-site presence in the United Kingdom as required by the Performance with Choice policy.Preferred QualificationIf you have the following characteristics, it would be a plus:Track record of peer-reviewed publications or major scientific contributions in genetics or translational genomics.Experience with cloud or distributed computing platforms and large-scale data processing tools.Familiarity with causal inference, biomarker discovery, and patient stratification methods.Experience with single-cell, spatial omics, proteomics or other emerging molecular technologies.Experience working within multi-disciplinary project teams in industry or academia.Experience contributing to production-ready pipelines or shared analysis platforms.Location and Working ModelThis role is based in the United Kingdom. The position is offered on a hybrid working model that combines time working remotely and time in office to support collaboration and development.How to ApplyWe welcome applicants from all backgrounds. If this role matches your skills and interests, please apply and tell us how your experience maps to the responsibilities and qualifications above. We look forward to learning about the impact you could make at GSKSkillsApplied Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software EngineeringGermany Salary Range / Gehaltsbandbreiten Deutschland: EUR 74,250 to EUR 123,750For positions covered by collective bargaining, employment conditions and remuneration are determined by the applicable collective agreements for the chemical industry as well as internal policies. More detailed information on compensation will be provided during the recruitment process. Depending on the role and internal policies, the position may also be eligible for a bonus (if applicable and based on defined, non-discretionary criteria) and/or awards for exceptional performance (granted at the employer's discretion). All benefits arising from the applicable collective bargaining agreement, such as holiday allowance and additional paid time off, will be provided in full, in accordance with that agreement and German law. Other benefits may also be offered, which may include health & wellbeing benefits, pension plan and paid parental leave & care of family member leave.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.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.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receiveImportant notice to Employment businesses/ AgenciesGSK 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 the Centers for Medicare and Medicaid Services (CMS) website at
AVEVA is creating software trusted by over 90% of leading industrial companies. Position: Principal Research Scientist - Frontier Industrial AI Location: Cambridge/ London, UK, All EMEA, (hybrid) Organization: AVEVA CT AI Research Role type: Individual contributor The role AVEVA's frontier AI research team, as part of the Chief Technologist Organization, focuses on developing the next generation of industrial intelligence. We are looking for exceptional researchers who combine original thinking with the ability to turn ambitious ideas into working systems. You will define and pursue high-impact research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways to move difficult initiatives forward. What you will do Define and lead ambitious research initiatives in frontier industrial AI. Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA's patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI. Partner with leading AI labs, universities, and technology organizations. Take research from initial hypothesis through prototype and validation. Help shape AVEVA's longer term AI research direction and technical strategy. What we are looking for A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field. Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions. Strong hands on ability in AI experimentation and software development. Ability to independently identify important problems, formulate research hypotheses, and execute projects with limited structure. Deep expertise in one or more areas such as foundation models, multimodal learning, time series modeling, generative models, reinforcement learning, agentic systems, simulation, world models, representation learning, or AI evaluation. Strong scientific judgment and the ability to design rigorous experiments and communicate results clearly. High agency, intellectual curiosity, and a constructive problem solving mindset. Ability to collaborate across research, engineering, product, and teams. Preferred qualifications Experience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data. Recent publications at leading machine learning, AI, data mining, robotics, or systems venues. Experience developing models at scale or building complex research systems. Experience with simulation environments, digital twins, multimodal data, or industrial time series. A track record of initiating and advancing research projects with limited supervision. Exceptional recent PhD graduates with a strong research record are encouraged to apply. UK Benefits include: Flexible benefits fund emergency leave days adoption leave 28 days annual leave (plus bank holidays) pension life cover private medical insurance parental leave education assistance program It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on site 50% of your working hours to support collaboration and connection. Some positions are fully office based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: Find out more: AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case by case basis. Empowering you with pioneering tech AVEVA is a global leader in industrial software. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies. If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.
Aug 24, 2026
Full time
AVEVA is creating software trusted by over 90% of leading industrial companies. Position: Principal Research Scientist - Frontier Industrial AI Location: Cambridge/ London, UK, All EMEA, (hybrid) Organization: AVEVA CT AI Research Role type: Individual contributor The role AVEVA's frontier AI research team, as part of the Chief Technologist Organization, focuses on developing the next generation of industrial intelligence. We are looking for exceptional researchers who combine original thinking with the ability to turn ambitious ideas into working systems. You will define and pursue high-impact research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways to move difficult initiatives forward. What you will do Define and lead ambitious research initiatives in frontier industrial AI. Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA's patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI. Partner with leading AI labs, universities, and technology organizations. Take research from initial hypothesis through prototype and validation. Help shape AVEVA's longer term AI research direction and technical strategy. What we are looking for A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field. Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions. Strong hands on ability in AI experimentation and software development. Ability to independently identify important problems, formulate research hypotheses, and execute projects with limited structure. Deep expertise in one or more areas such as foundation models, multimodal learning, time series modeling, generative models, reinforcement learning, agentic systems, simulation, world models, representation learning, or AI evaluation. Strong scientific judgment and the ability to design rigorous experiments and communicate results clearly. High agency, intellectual curiosity, and a constructive problem solving mindset. Ability to collaborate across research, engineering, product, and teams. Preferred qualifications Experience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data. Recent publications at leading machine learning, AI, data mining, robotics, or systems venues. Experience developing models at scale or building complex research systems. Experience with simulation environments, digital twins, multimodal data, or industrial time series. A track record of initiating and advancing research projects with limited supervision. Exceptional recent PhD graduates with a strong research record are encouraged to apply. UK Benefits include: Flexible benefits fund emergency leave days adoption leave 28 days annual leave (plus bank holidays) pension life cover private medical insurance parental leave education assistance program It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on site 50% of your working hours to support collaboration and connection. Some positions are fully office based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: Find out more: AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case by case basis. Empowering you with pioneering tech AVEVA is a global leader in industrial software. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies. If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.
Director, Global Clinical Physician-ImmunologyUxbridge - GBFind out how well you match with this job Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: Clinical Trial Physician serves as a primary source of medical accountability and oversight for multiple clinical trials, and manages Phase 1 - Phase 3 studies, with demonstrated decision making capabilities. It has matrix management responsibilities across the internal and external network and the role provides medical and scientific expertise to cross-functional BMS colleagues.# Position responsibilities Medical Monitoring: Team Leadership & Collaboration - Serve as a key contributor to the Study Delivery Team (SDT) and Clinical Development Team (CDT), partnering with Clinical Scientists to provide medical oversight on protocol development, including inclusion/exclusion criteria and safety considerations Medical Monitoring & Safety - Lead medical and eligibility data reviews, assess safety-related serious adverse events in partnership with Worldwide Patient Safety, and oversee site interactions and safety narratives GCP & Compliance - Uphold all GCP obligations for clinical conduct, safety management guidelines, and maintain up-to-date required trainingClinical Development Expertise & Strategy: Clinical Strategy & Protocol Design - Collaborate with the Clinical Development Lead to design and develop clinical plans and protocols, with a strategic focus on drug/asset knowledge, disease area science, and regulatory targets Medical Oversight & Accountability - Provide medical accountability across a group of studies, leading benefit/risk analyses within a matrix team environment alongside Clinical Scientists Study Execution & Delivery - Partner with Clinical Scientists to support all aspects of study delivery, including site activation, enrollment, and adjudication of protocol violations and deviations Stakeholder Engagement & Thought Leadership - Build and maintain relationships with principal investigators and key opinion leaders to inform emerging science, biomarker research, and clinical program design Scientific Expertise & Education - Maintain deep, up-to-date knowledge of the disease area through conference attendance and literature review, while staying informed on the competitive landscape and providing ongoing protocol-specific medical education to study teams and investigatorsHealth Authority Interactions & Publications: Health Authority & Advisory Engagement - Serve as the medical point of expertise in key Health Authority interactions and advisory board meetings Regulatory Writing & Submissions - Author and draft clinical content for CSRs, regulatory reports, briefing books, and submission documents, including clinical narratives, in partnership with Clinical Scientists# Qualifications and experience MD required (or equivalent) 5 or more years of Industry experience and/or clinical trials experience is required Ability to communicate information clearly and lead presentations in scientific and clinical settings Subspecialty training in applicable therapeutic area desired Expertise in the scientific method to test hypotheses, including statistical design, analysis, and interpretation Expertise in drug development process Expertise in the components needed to execute an effective clinical plan and protocols Strong leadership skills with proven ability to lead and work effectively in a team environment Domestic and International travel may be required. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through scienceTM ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit to access our complete Equal Employment Opportunity statement.Bristol Myers Squibb is Disability Confident - EmployerA UK Government scheme Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.R : Director, Global Clinical Physician-Immunology
Aug 24, 2026
Full time
Director, Global Clinical Physician-ImmunologyUxbridge - GBFind out how well you match with this job Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: Clinical Trial Physician serves as a primary source of medical accountability and oversight for multiple clinical trials, and manages Phase 1 - Phase 3 studies, with demonstrated decision making capabilities. It has matrix management responsibilities across the internal and external network and the role provides medical and scientific expertise to cross-functional BMS colleagues.# Position responsibilities Medical Monitoring: Team Leadership & Collaboration - Serve as a key contributor to the Study Delivery Team (SDT) and Clinical Development Team (CDT), partnering with Clinical Scientists to provide medical oversight on protocol development, including inclusion/exclusion criteria and safety considerations Medical Monitoring & Safety - Lead medical and eligibility data reviews, assess safety-related serious adverse events in partnership with Worldwide Patient Safety, and oversee site interactions and safety narratives GCP & Compliance - Uphold all GCP obligations for clinical conduct, safety management guidelines, and maintain up-to-date required trainingClinical Development Expertise & Strategy: Clinical Strategy & Protocol Design - Collaborate with the Clinical Development Lead to design and develop clinical plans and protocols, with a strategic focus on drug/asset knowledge, disease area science, and regulatory targets Medical Oversight & Accountability - Provide medical accountability across a group of studies, leading benefit/risk analyses within a matrix team environment alongside Clinical Scientists Study Execution & Delivery - Partner with Clinical Scientists to support all aspects of study delivery, including site activation, enrollment, and adjudication of protocol violations and deviations Stakeholder Engagement & Thought Leadership - Build and maintain relationships with principal investigators and key opinion leaders to inform emerging science, biomarker research, and clinical program design Scientific Expertise & Education - Maintain deep, up-to-date knowledge of the disease area through conference attendance and literature review, while staying informed on the competitive landscape and providing ongoing protocol-specific medical education to study teams and investigatorsHealth Authority Interactions & Publications: Health Authority & Advisory Engagement - Serve as the medical point of expertise in key Health Authority interactions and advisory board meetings Regulatory Writing & Submissions - Author and draft clinical content for CSRs, regulatory reports, briefing books, and submission documents, including clinical narratives, in partnership with Clinical Scientists# Qualifications and experience MD required (or equivalent) 5 or more years of Industry experience and/or clinical trials experience is required Ability to communicate information clearly and lead presentations in scientific and clinical settings Subspecialty training in applicable therapeutic area desired Expertise in the scientific method to test hypotheses, including statistical design, analysis, and interpretation Expertise in drug development process Expertise in the components needed to execute an effective clinical plan and protocols Strong leadership skills with proven ability to lead and work effectively in a team environment Domestic and International travel may be required. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through scienceTM ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit to access our complete Equal Employment Opportunity statement.Bristol Myers Squibb is Disability Confident - EmployerA UK Government scheme Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.R : Director, Global Clinical Physician-Immunology
Principal Software Engineer - Simple Machines Hybrid Full-time London, UK About Simple Machines Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering-building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises, technology companies, and governments to help them better understand their organisations, customers, and citizens. Our teams design and build large-scale data platforms, intelligent systems, and high-impact software products. We engineer data to life . The Role As aPrincipal Software Engineer, you'll play a key role in delivering complex, scalable systems for ambitious clients. This is a hands-on engineering role where you'll work across the full stack-backend services, APIs, frontend components, data pipelines, and cloud infrastructure. You'll collaborate closely with our internal engineering teams and client stakeholders, influencing technical direction while remaining deeply involved in design and delivery. This role suits someone who enjoys solving hard problems, owning outcomes end-to-end, and operating in a consultative engineering environment. What You'll Be Doing Design and build backend services for a highly scalable marketing platform Own the design of APIs, applications, and supporting infrastructure Document technical designs and requirements clearly for both internal teams and clients Deliver solutions end-to-end: build, automate, deploy, operate, and support Partner with clients and delivery teams to translate business requirements into robust technical solutions Work within an Agile, iterative delivery model Collaborate in a hybrid setup with both remote and in-person team members and stakeholders The Team You'll join a high-performing engineering team working on a large-scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across the full stack, support one another's growth, and collaborate closely with data scientists and adjacent teams to design cross-system solutions. Strong engineering culture, real influence, and meaningful problems to solve. What We're Looking For Core Experience Strong foundation in JVM-based development (Kotlin preferred, Java welcome) Experience designing and implementing data-driven APIs Background working on large-scale web services Solid SQL experience, including schema design and performance-aware queries Deep experience with automated testing (unit, integration; TDD/BDD preferred) Frontend & Full Stack Exposure Experience with React, TypeScript, Redux, and Tailwind (or similar modern frameworks) Cloud & Infrastructure Experience with AWS, GCP, Azure, or similar Infrastructure-as-code (Terraform, CloudFormation, etc.) Containerised deployments using Docker, ECS, Kubernetes, or equivalent Nice to Have Exposure to Scala or functional programming concepts Experience with asynchronous and highly concurrent backend frameworks (e.g. Ktor, http4k, Play, RxJava) NoSQL experience (DynamoDB, Cassandra, BigTable, Cosmos DB, etc.) Strong Git workflow experience and the ability to adapt workflows to project needs A genuine appetite for learning and adopting new technologies quickly
Aug 24, 2026
Full time
Principal Software Engineer - Simple Machines Hybrid Full-time London, UK About Simple Machines Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering-building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises, technology companies, and governments to help them better understand their organisations, customers, and citizens. Our teams design and build large-scale data platforms, intelligent systems, and high-impact software products. We engineer data to life . The Role As aPrincipal Software Engineer, you'll play a key role in delivering complex, scalable systems for ambitious clients. This is a hands-on engineering role where you'll work across the full stack-backend services, APIs, frontend components, data pipelines, and cloud infrastructure. You'll collaborate closely with our internal engineering teams and client stakeholders, influencing technical direction while remaining deeply involved in design and delivery. This role suits someone who enjoys solving hard problems, owning outcomes end-to-end, and operating in a consultative engineering environment. What You'll Be Doing Design and build backend services for a highly scalable marketing platform Own the design of APIs, applications, and supporting infrastructure Document technical designs and requirements clearly for both internal teams and clients Deliver solutions end-to-end: build, automate, deploy, operate, and support Partner with clients and delivery teams to translate business requirements into robust technical solutions Work within an Agile, iterative delivery model Collaborate in a hybrid setup with both remote and in-person team members and stakeholders The Team You'll join a high-performing engineering team working on a large-scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across the full stack, support one another's growth, and collaborate closely with data scientists and adjacent teams to design cross-system solutions. Strong engineering culture, real influence, and meaningful problems to solve. What We're Looking For Core Experience Strong foundation in JVM-based development (Kotlin preferred, Java welcome) Experience designing and implementing data-driven APIs Background working on large-scale web services Solid SQL experience, including schema design and performance-aware queries Deep experience with automated testing (unit, integration; TDD/BDD preferred) Frontend & Full Stack Exposure Experience with React, TypeScript, Redux, and Tailwind (or similar modern frameworks) Cloud & Infrastructure Experience with AWS, GCP, Azure, or similar Infrastructure-as-code (Terraform, CloudFormation, etc.) Containerised deployments using Docker, ECS, Kubernetes, or equivalent Nice to Have Exposure to Scala or functional programming concepts Experience with asynchronous and highly concurrent backend frameworks (e.g. Ktor, http4k, Play, RxJava) NoSQL experience (DynamoDB, Cassandra, BigTable, Cosmos DB, etc.) Strong Git workflow experience and the ability to adapt workflows to project needs A genuine appetite for learning and adopting new technologies quickly
Senior Director of Machine Learning (Experiences) London, Oxford, Poland, Krakow About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor Experiences, a division of Tripadvisor, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. The role As the Senior Director, Machine Learning, you will spearhead our Machine Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation, and ranking systems that power how travelers discover and book experiences; rigorous experimentation; and the responsible application of generative AI - all built on our rich first-party data. You will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will be a strategic leader and a credible technologist: a player-coach who sets technical direction, holds the scientific bar, and stays close enough to the work to earn the trust of a demanding team. You will lead and grow the organization through a layer of managers as it scales. What you'll do Leading through a team of managers and senior scientists, you will: Build and lead a unified ML organization. Consolidate and grow ML scientists currently embedded across engineering into one hub-and-spoke model; define the operating model, decision rights, and service commitments so product areas keep momentum through the change. Own the personalization strategy. Set the technical direction for the recommendation, ranking, and search-relevance systems that personalize the traveler journey - multi-objective ranking, sequential and session-based recommenders, embeddings and semantic retrieval, and real-time features - the models that drive discovery and conversion at scale. Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards - A/B testing, guardrail metrics, and rigorous measurement of incremental business impact - as a decision-science partner to Product and the business, championing a strong experimentation culture across the organization. Shape our generative-AI direction. Own the strategy for applying LLMs and generative AI across the Experiences product - conversational trip planning, retrieval-augmented generation grounded in our first-party reviews and content, and automated content - with rigorous evaluation to control quality and cost, including agentic and LLM-driven experiences as this work scales. Grow, develop, and retain the team. Shape ML and data-science career ladders and dual technical/management tracks; partner with Talent Acquisition to attract and hire top-tier ML and data-science talent; calibrate hiring and promotions; establish standards for the research-to-production model lifecycle; and develop both the management track and the senior IC bench - Staff and Principal Scientists. Own production ML health. Set and enforce the standards for reliable, well-monitored, cost-effective models in production - deployment, retraining, monitoring and governance - and the service levels (SLAs) of the ML organization. Partnering with MLOps infrastructure team. Partner across the company. Translate commercial strategy into an ML roadmap with Product, Engineering, Design, and Analytics leadership; represent ML in executive planning; and connect model performance to business outcomes. What you'll bring: Substantial experience in machine learning, together with significant experience leading managers and senior technical teams in a complex, scaled organisation. A track record of shipping production machine learning at scale - ideally personalization, recommendations, search/ranking, or similar - to large consumer traffic, with measurable business impact. Experience building, scaling, or restructuring an ML or data-science organization, and the change-management skill to consolidate and align teams without disrupting delivery. The ability to operate as an executive peer - influencing Director- and VP-level partners across Product and Engineering and shaping strategy, not just execution. A strategic player-coach's technical depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar. Strong grounding in experimentation and statistics - A/B testing, causal inference, and rigorous measurement of impact. An MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related), or equivalent depth of applied experience. Excellent communication - the ability to translate complex ML concepts into business decisions for technical and non-technical audiences alike. Job Location: Hybrid - UK (London/Oxford) or Poland (Krakow) This role is a hybrid position that requires 2 days per week in our office What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers! Massachusetts Notification It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Aug 21, 2026
Full time
Senior Director of Machine Learning (Experiences) London, Oxford, Poland, Krakow About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor Experiences, a division of Tripadvisor, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. The role As the Senior Director, Machine Learning, you will spearhead our Machine Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation, and ranking systems that power how travelers discover and book experiences; rigorous experimentation; and the responsible application of generative AI - all built on our rich first-party data. You will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will be a strategic leader and a credible technologist: a player-coach who sets technical direction, holds the scientific bar, and stays close enough to the work to earn the trust of a demanding team. You will lead and grow the organization through a layer of managers as it scales. What you'll do Leading through a team of managers and senior scientists, you will: Build and lead a unified ML organization. Consolidate and grow ML scientists currently embedded across engineering into one hub-and-spoke model; define the operating model, decision rights, and service commitments so product areas keep momentum through the change. Own the personalization strategy. Set the technical direction for the recommendation, ranking, and search-relevance systems that personalize the traveler journey - multi-objective ranking, sequential and session-based recommenders, embeddings and semantic retrieval, and real-time features - the models that drive discovery and conversion at scale. Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards - A/B testing, guardrail metrics, and rigorous measurement of incremental business impact - as a decision-science partner to Product and the business, championing a strong experimentation culture across the organization. Shape our generative-AI direction. Own the strategy for applying LLMs and generative AI across the Experiences product - conversational trip planning, retrieval-augmented generation grounded in our first-party reviews and content, and automated content - with rigorous evaluation to control quality and cost, including agentic and LLM-driven experiences as this work scales. Grow, develop, and retain the team. Shape ML and data-science career ladders and dual technical/management tracks; partner with Talent Acquisition to attract and hire top-tier ML and data-science talent; calibrate hiring and promotions; establish standards for the research-to-production model lifecycle; and develop both the management track and the senior IC bench - Staff and Principal Scientists. Own production ML health. Set and enforce the standards for reliable, well-monitored, cost-effective models in production - deployment, retraining, monitoring and governance - and the service levels (SLAs) of the ML organization. Partnering with MLOps infrastructure team. Partner across the company. Translate commercial strategy into an ML roadmap with Product, Engineering, Design, and Analytics leadership; represent ML in executive planning; and connect model performance to business outcomes. What you'll bring: Substantial experience in machine learning, together with significant experience leading managers and senior technical teams in a complex, scaled organisation. A track record of shipping production machine learning at scale - ideally personalization, recommendations, search/ranking, or similar - to large consumer traffic, with measurable business impact. Experience building, scaling, or restructuring an ML or data-science organization, and the change-management skill to consolidate and align teams without disrupting delivery. The ability to operate as an executive peer - influencing Director- and VP-level partners across Product and Engineering and shaping strategy, not just execution. A strategic player-coach's technical depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar. Strong grounding in experimentation and statistics - A/B testing, causal inference, and rigorous measurement of impact. An MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related), or equivalent depth of applied experience. Excellent communication - the ability to translate complex ML concepts into business decisions for technical and non-technical audiences alike. Job Location: Hybrid - UK (London/Oxford) or Poland (Krakow) This role is a hybrid position that requires 2 days per week in our office What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers! Massachusetts Notification It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Open roles across robotics, biology, and infrastructure. London-based;some roles remote-friendly. Location London Employment Type Full time Location Type On-site Department Research The opportunity Substrate is building the protein production cascade that turns a sequence into characterised, quality-controlled protein at scale, and you will build it from the first manual run. This is the work upstream of every protein data point Substrate generates: DNA design, molecular biology, protein expression, purification, and quality control, developed by hand and engineered to move onto automation. The data this cascade produces is the product. Substrate is the critical infrastructure layer between AI and biology, and biological foundation models can predict but cannot experiment; the high-quality, large-scale data they need does not exist yet. Your work at the bench is what brings it into existence. About Substrate Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict but cannot experiment, and the high-quality, large-scale data they need does not exist. Substrate generates it, with quality and provenance built in. We are not a CRO and we are not a cloud lab. The company was founded by four co-founders and is funded through a combination of equity and debt. The first lab is in London, with a larger automation node to follow. The work starts with two scientific verticals, protein characterisation and functional genomics, and this role sits at the centre of the protein work. The role You will build the protein production cascade that sits upstream of molecular characterisation and functional assays: DNA design, molecular biology, protein expression, purification, and quality control through analytical characterisation. The cascade will eventually run autonomously on Substrate's automation platform. In the first phase, you develop each step by hand, running protocols manually, setting reproducibility and quality thresholds, and proving each phase works before it moves onto instrumentation. As the automation platform comes online, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. You will work directly with the automation engineering and software teams on the boundary between scientific protocols and autonomous execution, at Scientist or Senior Scientist level, alongside Principal Scientists at the bench, and you will grow into protocol authorship over the first year. What you will do in your first twelve months Phase 0 - NOW to AUG 2026 Land in the lab. Set up your bench at the London site and start manual assay development alongside a senior member of the protein sciences vertical. Get hands on the first priority protein production workflows as the day-one assay menu locks. Start building DNA design and production (linear DNA), protein expression (cell-free), and protein purification and QC at high throughput. Run them by hand on equipment that will eventually move onto the automation platform, capturing the data-structure and metadata decisions that translate into automation design. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to the day-one menu decisions and begin authoring SOPs for your slice of the assay portfolio. Help interview the scientists and lab technicians joining alongside you. Phase 1 - SEP to DEC 2026 Have a linear DNA, cell-free expression, purification, and QC workflow in a semi- automated state, running at the scale of hundreds to thousands per week and ready for full automation. Co-design protocols with the software and automation engineering teams so the manual versions you validate are automation-ready by design. Decide which manual judgement calls have to be engineered out before they reach the platform. Start building DNA design and production (plasmid DNA), protein expression (mammalian), and protein purification and QC at high throughput, again by hand on equipment that will move onto the platform. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to co-design conversations with the first commercial customers, including the foundation-model partners coming online from 2027. Phase 2 - JAN to MAR 2027 Workcells arrive in the lab. Move the validated assays onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. Open the assay menu to customers through manual and semi-automated services. Run real experiments for real customers. Help bring on the next scientists and lab technicians as the vertical grows. Who you are You are a protein scientist who is excited about the actual work: designing, running, andvalidating at the bench. You are comfortable in the details. You have hands-on experience with high throughput, plate-based methods across molecular biology, protein expression, purification, and QC. The shape of the problem is what attracts you: assays designed for autonomous execution from day one, in a business where the data the lab produces is itself the product. You write good SOPs, and you hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands-on in the early phase, when the cadence is heaviest, and you understand it eases as protocols move onto instrumentation. You enjoy working at the boundary with non-biologist colleagues (automation engineers, software engineers, AI researchers), and you do not require them to be scientifically fluent before you will collaborate. This role is open at Scientist and Senior Scientist level. The work is hands-on bench science at both, with collaboration into automation and software; the difference is depth of ownership, design authority, and how much of the team you help build. We do not hire people into boxes, and the early team stretches beyond the strict edges of any role. Must Have Comfortable handling DNA design and linear and plasmid DNA production at high throughput, expressing proteins, and purifying them with QC steps for validation, executing protocols at the bench through manual, semi-automated, and instrumented phases. Core experience within biologics. A track record of working alongside non-scientist colleagues (automation, software, computational) on a shared workflow. A PhD in protein biochemistry, molecular or structural biology, biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands-on experience; or a relevant science MSc with five or more years of equivalent bench experience in protein science. Independent, hands-on competence across protein science: molecular biology (DNA production with Gibson and Golden Gate assembly at transfection-grade quality), protein expression (cell-free, IVTT, E. coli and mammalian), and protein purification (automated magnetic-bead workflows), with exposure to at least one of these at high throughput (24, 96, and 384-well plate formats). Protein characterisation across at least two core biophysical methods (for example CE-SDS, DLS, nanoDSF/DSF, analytical SEC, HIC, or LC-MS intact mass analysis). Confident data analysis, including telling instrument artefacts apart from genuine molecule behaviour. Fluency with structured experimental data capture, and proficiency with a LIMS, ELN, or analogous data infrastructure. Ready to grow into protocol authorship and SOP ownership over the first twelve months. Nice to Have Direct experience moving biophysical or analytical assays from manual workflows onto lab automation platforms (at least a handoff into an automated platform). High throughput experience in at least one core biophysical platform (SPR or BLI for binding kinetics), plus one or more orthogonal characterisation or developability assays (for example nanoDSF/DSF, DLS, analytical SEC, HIC, AC-SINS, cIEF, or CE-SDS). Experience developing novel high throughput technologies in DNA generation, cell expression (cell-free, mammalian), or bead-based purification. Method development and validation experience: defining acceptance criteria, references, and controls that other scientists have run successfully. SOP and protocol authorship that others have executed, and experience supervising at least one junior scientist or technician. Experience working with computational or AI/ML colleagues on closed-loop assay programmes. Background at an AI-native biotech or foundation-model company. Why this is unusual Most protein science roles like this inherit an established workflow and optimise it. This one. does not. No assay in this vertical is being retrofitted onto automation; every protocol is designed for AI-in-the-loop execution from the first manual run. The data each assay produces, its output structure, metadata, provenance, and consistency across runs, is treated as a first-class scientific constraint, because that data feeds directly into foundation-model training pipelines. Your decisions at the bench affect what the orchestrator has to do and what data leaves the building. Some scientists find this energising; others find it outside the lane they trained for. It is worth knowing in advance which one you are. How we work This is an in-person . click apply for full job details
Aug 20, 2026
Full time
Open roles across robotics, biology, and infrastructure. London-based;some roles remote-friendly. Location London Employment Type Full time Location Type On-site Department Research The opportunity Substrate is building the protein production cascade that turns a sequence into characterised, quality-controlled protein at scale, and you will build it from the first manual run. This is the work upstream of every protein data point Substrate generates: DNA design, molecular biology, protein expression, purification, and quality control, developed by hand and engineered to move onto automation. The data this cascade produces is the product. Substrate is the critical infrastructure layer between AI and biology, and biological foundation models can predict but cannot experiment; the high-quality, large-scale data they need does not exist yet. Your work at the bench is what brings it into existence. About Substrate Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict but cannot experiment, and the high-quality, large-scale data they need does not exist. Substrate generates it, with quality and provenance built in. We are not a CRO and we are not a cloud lab. The company was founded by four co-founders and is funded through a combination of equity and debt. The first lab is in London, with a larger automation node to follow. The work starts with two scientific verticals, protein characterisation and functional genomics, and this role sits at the centre of the protein work. The role You will build the protein production cascade that sits upstream of molecular characterisation and functional assays: DNA design, molecular biology, protein expression, purification, and quality control through analytical characterisation. The cascade will eventually run autonomously on Substrate's automation platform. In the first phase, you develop each step by hand, running protocols manually, setting reproducibility and quality thresholds, and proving each phase works before it moves onto instrumentation. As the automation platform comes online, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. You will work directly with the automation engineering and software teams on the boundary between scientific protocols and autonomous execution, at Scientist or Senior Scientist level, alongside Principal Scientists at the bench, and you will grow into protocol authorship over the first year. What you will do in your first twelve months Phase 0 - NOW to AUG 2026 Land in the lab. Set up your bench at the London site and start manual assay development alongside a senior member of the protein sciences vertical. Get hands on the first priority protein production workflows as the day-one assay menu locks. Start building DNA design and production (linear DNA), protein expression (cell-free), and protein purification and QC at high throughput. Run them by hand on equipment that will eventually move onto the automation platform, capturing the data-structure and metadata decisions that translate into automation design. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to the day-one menu decisions and begin authoring SOPs for your slice of the assay portfolio. Help interview the scientists and lab technicians joining alongside you. Phase 1 - SEP to DEC 2026 Have a linear DNA, cell-free expression, purification, and QC workflow in a semi- automated state, running at the scale of hundreds to thousands per week and ready for full automation. Co-design protocols with the software and automation engineering teams so the manual versions you validate are automation-ready by design. Decide which manual judgement calls have to be engineered out before they reach the platform. Start building DNA design and production (plasmid DNA), protein expression (mammalian), and protein purification and QC at high throughput, again by hand on equipment that will move onto the platform. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to co-design conversations with the first commercial customers, including the foundation-model partners coming online from 2027. Phase 2 - JAN to MAR 2027 Workcells arrive in the lab. Move the validated assays onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. Open the assay menu to customers through manual and semi-automated services. Run real experiments for real customers. Help bring on the next scientists and lab technicians as the vertical grows. Who you are You are a protein scientist who is excited about the actual work: designing, running, andvalidating at the bench. You are comfortable in the details. You have hands-on experience with high throughput, plate-based methods across molecular biology, protein expression, purification, and QC. The shape of the problem is what attracts you: assays designed for autonomous execution from day one, in a business where the data the lab produces is itself the product. You write good SOPs, and you hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands-on in the early phase, when the cadence is heaviest, and you understand it eases as protocols move onto instrumentation. You enjoy working at the boundary with non-biologist colleagues (automation engineers, software engineers, AI researchers), and you do not require them to be scientifically fluent before you will collaborate. This role is open at Scientist and Senior Scientist level. The work is hands-on bench science at both, with collaboration into automation and software; the difference is depth of ownership, design authority, and how much of the team you help build. We do not hire people into boxes, and the early team stretches beyond the strict edges of any role. Must Have Comfortable handling DNA design and linear and plasmid DNA production at high throughput, expressing proteins, and purifying them with QC steps for validation, executing protocols at the bench through manual, semi-automated, and instrumented phases. Core experience within biologics. A track record of working alongside non-scientist colleagues (automation, software, computational) on a shared workflow. A PhD in protein biochemistry, molecular or structural biology, biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands-on experience; or a relevant science MSc with five or more years of equivalent bench experience in protein science. Independent, hands-on competence across protein science: molecular biology (DNA production with Gibson and Golden Gate assembly at transfection-grade quality), protein expression (cell-free, IVTT, E. coli and mammalian), and protein purification (automated magnetic-bead workflows), with exposure to at least one of these at high throughput (24, 96, and 384-well plate formats). Protein characterisation across at least two core biophysical methods (for example CE-SDS, DLS, nanoDSF/DSF, analytical SEC, HIC, or LC-MS intact mass analysis). Confident data analysis, including telling instrument artefacts apart from genuine molecule behaviour. Fluency with structured experimental data capture, and proficiency with a LIMS, ELN, or analogous data infrastructure. Ready to grow into protocol authorship and SOP ownership over the first twelve months. Nice to Have Direct experience moving biophysical or analytical assays from manual workflows onto lab automation platforms (at least a handoff into an automated platform). High throughput experience in at least one core biophysical platform (SPR or BLI for binding kinetics), plus one or more orthogonal characterisation or developability assays (for example nanoDSF/DSF, DLS, analytical SEC, HIC, AC-SINS, cIEF, or CE-SDS). Experience developing novel high throughput technologies in DNA generation, cell expression (cell-free, mammalian), or bead-based purification. Method development and validation experience: defining acceptance criteria, references, and controls that other scientists have run successfully. SOP and protocol authorship that others have executed, and experience supervising at least one junior scientist or technician. Experience working with computational or AI/ML colleagues on closed-loop assay programmes. Background at an AI-native biotech or foundation-model company. Why this is unusual Most protein science roles like this inherit an established workflow and optimise it. This one. does not. No assay in this vertical is being retrofitted onto automation; every protocol is designed for AI-in-the-loop execution from the first manual run. The data each assay produces, its output structure, metadata, provenance, and consistency across runs, is treated as a first-class scientific constraint, because that data feeds directly into foundation-model training pipelines. Your decisions at the bench affect what the orchestrator has to do and what data leaves the building. Some scientists find this energising; others find it outside the lane they trained for. It is worth knowing in advance which one you are. How we work This is an in-person . click apply for full job details
Staff/Principal Machine Learning Scientist - Ranking & Retrieval London, United Kingdom About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the art AI systems and mentoring a high performing team of scientists, this role is for you What You'll Do Technical Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next generation recommendation and ranking models. Solve complex, non linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi objective frameworks. System Architecture & Scalability: Oversee the deployment of low latency, high throughput retrieval and ranking pipelines (e.g., multi stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real time. Cross Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users. Core Technical Expertise: Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi objective optimization. Sequential & Temporal Modeling: Hands on experience building sequential recommendation systems that capture real time user session dynamics and long term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two Sided Marketplaces, specifically handling non linear user journeys and highly constrained inventory (e.g., hotel availability, tour timings). A strong track record of academic or industry contributions, including publications in top tier AI/IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS) or open source ML contributions. What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Tripadvisor Group takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like or as required by your team. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!
Aug 20, 2026
Full time
Staff/Principal Machine Learning Scientist - Ranking & Retrieval London, United Kingdom About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the art AI systems and mentoring a high performing team of scientists, this role is for you What You'll Do Technical Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next generation recommendation and ranking models. Solve complex, non linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi objective frameworks. System Architecture & Scalability: Oversee the deployment of low latency, high throughput retrieval and ranking pipelines (e.g., multi stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real time. Cross Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users. Core Technical Expertise: Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi objective optimization. Sequential & Temporal Modeling: Hands on experience building sequential recommendation systems that capture real time user session dynamics and long term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two Sided Marketplaces, specifically handling non linear user journeys and highly constrained inventory (e.g., hotel availability, tour timings). A strong track record of academic or industry contributions, including publications in top tier AI/IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS) or open source ML contributions. What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Tripadvisor Group takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like or as required by your team. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!
Business Introduction At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D For candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge UK, in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029. Position Summary You will lead predictive and agentic target biology work to improve how we find and prioritise targets for new medicines. You will combine computational and experimental approaches to predict target biology, safety, and translational potential. You will work closely with biologists, data scientists, engineers and project teams to influence project decisions. We value clear communicators who build robust, reproducible methods and focus on practical impact for patients. This role offers visible project influence, career growth, and the chance to unite science, technology and talent to get ahead of disease together. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Lead development and application of predictive models and agentic workflows to evaluate target tractability and safety. Design hypothesis-driven experiments and computational tests to validate target biology and mechanism of action. Integrate multimodal biological data such as genomics, transcriptomics, proteomics and functional screens. Translate biological questions into clear computational and experimental plans and deliver documented pipelines. Provide timely, evidence-based recommendations to project teams for target prioritisation and go/no-go decisions. Mentor colleagues and promote best practices in model validation, reproducibility and transparent reporting. Basic Qualification PhD in biology, computational biology, bioinformatics, systems biology or a related life sciences field; or MSc with substantial relevant experience. Practical experience developing and applying predictive models for biological targets or cellular phenotypes. Strong programming skills in Python or similar languages and experience with scientific libraries for data analysis. Hands on experience integrating and analysing multimodal biological datasets including RNA seq, proteomics or CRISPR screens. Proven track record working in multidisciplinary teams and translating research questions into actionable workflows. Right to work in the United Kingdom. Preferred Qualification Experience with agentic systems or orchestration frameworks that automate iterative design test analyse cycles. Familiarity with causal inference, mechanistic models, or systems biology methods for predicting biology. Experience deploying models and workflows to cloud or production environments such as Kubernetes, AWS or Azure. Knowledge of target safety assessment, translational biomarkers, or early pharmacology relevant to discovery. Record of scientific communication through publications, conference presentations or internal knowledge sharing. Experience mentoring or leading small scientific teams and influencing cross functional decisions. Working Pattern This role is hybrid. You will combine remote work with regular in-office time in the United Kingdom to collaborate with colleagues and project teams. Skills Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models. We welcome applicants from all backgrounds and encourage people who may not meet every preference to apply. We look forward to learning about the impact you want to make. 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. 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. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive. 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 the Centers for Medicare and Medicaid Services (CMS) website at We are a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Find out more on our career site.
Aug 20, 2026
Full time
Business Introduction At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D For candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge UK, in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029. Position Summary You will lead predictive and agentic target biology work to improve how we find and prioritise targets for new medicines. You will combine computational and experimental approaches to predict target biology, safety, and translational potential. You will work closely with biologists, data scientists, engineers and project teams to influence project decisions. We value clear communicators who build robust, reproducible methods and focus on practical impact for patients. This role offers visible project influence, career growth, and the chance to unite science, technology and talent to get ahead of disease together. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Lead development and application of predictive models and agentic workflows to evaluate target tractability and safety. Design hypothesis-driven experiments and computational tests to validate target biology and mechanism of action. Integrate multimodal biological data such as genomics, transcriptomics, proteomics and functional screens. Translate biological questions into clear computational and experimental plans and deliver documented pipelines. Provide timely, evidence-based recommendations to project teams for target prioritisation and go/no-go decisions. Mentor colleagues and promote best practices in model validation, reproducibility and transparent reporting. Basic Qualification PhD in biology, computational biology, bioinformatics, systems biology or a related life sciences field; or MSc with substantial relevant experience. Practical experience developing and applying predictive models for biological targets or cellular phenotypes. Strong programming skills in Python or similar languages and experience with scientific libraries for data analysis. Hands on experience integrating and analysing multimodal biological datasets including RNA seq, proteomics or CRISPR screens. Proven track record working in multidisciplinary teams and translating research questions into actionable workflows. Right to work in the United Kingdom. Preferred Qualification Experience with agentic systems or orchestration frameworks that automate iterative design test analyse cycles. Familiarity with causal inference, mechanistic models, or systems biology methods for predicting biology. Experience deploying models and workflows to cloud or production environments such as Kubernetes, AWS or Azure. Knowledge of target safety assessment, translational biomarkers, or early pharmacology relevant to discovery. Record of scientific communication through publications, conference presentations or internal knowledge sharing. Experience mentoring or leading small scientific teams and influencing cross functional decisions. Working Pattern This role is hybrid. You will combine remote work with regular in-office time in the United Kingdom to collaborate with colleagues and project teams. Skills Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models. We welcome applicants from all backgrounds and encourage people who may not meet every preference to apply. We look forward to learning about the impact you want to make. 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. 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. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive. 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 the Centers for Medicare and Medicaid Services (CMS) website at We are a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Find out more on our career site.
Open roles across robotics, biology, and infrastructure. London-based;some roles remote-friendly. Head of Functional Genomics Location London Employment Type Full time Location Type Hybrid Department Research The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring a Head of Functional Genomics to build and lead the functional genomics vertical from scratch. The vertical covers the full pipeline: cell line engineering, perturbation library design, screen execution, and bulk and single-cell sequencing readouts, with the resulting data feeding customer pipelines that include foundation model training for virtual cell models. This is the second scientific vertical we are bringing online: manual development is starting now, and full autonomous execution on workcells is targeted for mid-to-late 2027. You will own the screening menu, scope it against early customer demand, shape the workcells the screens will eventually run on, and build the team that operates the function at scale. You will be the senior functional genomics scientist in the company at hire. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co-founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co-founder, leading the intelligence software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab and we are not a CRO. We are an autonomous lab platform with closed-loop integration available as one operating mode for foundation model partners. The role You will own functional genomics end-to-end. Day one priorities are the scientific pieces of standing up a vertical from scratch: scoping the priority screening menu against early customer demand, developing and validating those screens manually, setting quality thresholds, and hiring the Principal Scientists, Scientists, and Lab Technicians who will operate the function at scale. The vertical will eventually span cell line engineering across catalogue lines and iPSC-derived models, perturbation library design and production, pooled screen execution, and bulk and single-cell sequencing readouts; the day-1 wedge is one end-to-end workflow through these stages, scoped narrowly to a focused starting subset within each, and you decide what that scope looks like. Two parts of the role are not standard, and they are why this role is so crucial to Substrate's success. The first is that the functional genomics vertical is being built AI-first from day one. Every screen is designed from scratch for full AI-in-the-loop automation, not retrofitted onto a manual workflow. You do the work by hand first, exactly as you would in a high-end pharma research lab, and then work with Automata's automation scientists to shape the workcells the screens will eventually run on. You will define the quality thresholds for each transition stage, decide which manual judgement calls have to be re-engineered out, and own the validation that proves equivalence at each step. The second is closed-loop work with foundation model partners. Substrate's distinctive operating mode is producing structured, machine-readable experimental data fast enough to feed directly into foundation model training. That changes how functional genomics screens get designed: cell line provenance, library composition, perturbation metadata, sequencing QC, and consistency across runs become first-class scientific constraints. You will work directly with model partners on screen co-design, and with our software and intelligence teams on how the resulting data flows back into customer pipelines and into Substrate's own data factory. You will also be the executive partner to the co-founders on anything functional-genomics related: the screening roadmap, the proprietary functional genomics dataset programme on the reserved fraction of lab capacity, and the customer conversations where functional genomics depth is decisive. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the lab. Set up workspace at our King's Cross site and start manual screen development. Scope the day-1 wedge against early customer demand: which cell line, which perturbation library, which sequencing readout, validated as one end-to-end workflow before the menu starts to expand. Hire the first Principal Scientist and Lab Technician alongside you. Define the roles, run the processes, close the offers. PHASE 1: SEP TO DEC 2026 Develop and validate the first screens manually. Set the reproducibility and quality thresholds that will serve as acceptance criteria for the moves to instrumented and to fully autonomous execution. Co-design protocols with the software and automation engineering teams so that the manual versions you validate are automation-ready by design. Decide which manual judgement calls have to be engineered out before they hit a workcell. Begin co-design conversations with the first commercial customers, including the foundation model partners coming online from mid-2027. PHASE 2: JAN TO MAR 2027 Workcells arrive in the lab. Move the validated screens onto them, running with instrumentation and human intervention in the loop ahead of full autonomous operation later in 2027. Validate equivalence against the manual baselines. Grow the team. Bring on the second Principal Scientist and the first scientists at the bench to support throughput as the screening menu opens to customers. Ship the first revenue on the functional genomics vertical from manual and semi-automated services. Who you are You are an experienced functional genomics scientist who has built or led a screening function at a biotech, pharma R&D, or CRO. You are comfortable in the detail at the bench and you are comfortable setting direction for a team. The shape of the problem is what attracts you: a screening portfolio that has to be designed for autonomous execution from day one, in a business where the data the lab produces is itself part of the product. You have hired and managed scientists, principal scientists, and technicians. You have set quality thresholds and held people to them. You have run screens that supported real customers, internal teams in pharma or biotech or external customers in a CRO setting, and you understand what enterprise-grade scientific operations look like. You are pragmatic about being hands-on at the bench in the first six to nine months, and excited about the team you will build behind you. You enjoy interviewing, hiring, mentoring, and setting standards. You will be in the lab at our King's Cross site at the cadence the science demands. That cadence will be heavy in the manual development phase and ease as the function grows and protocols move onto instrumentation. You are comfortable with that. MUST HAVE Seven or more years of experience in functional genomics or related disciplines (target validation, perturbation screening), with at least three in a senior or team-leading role at a biotech, pharma R&D, or CRO. End-to-end hands-on experience in at least one screening modality (typically CRISPR knockout or CRISPRi knockdown), covering cell line preparation, library design, screen execution, and sequencing readout, with working familiarity across single-cell readouts and validation workflows. Track record of leading a small scientific team end to end: hiring, setting quality standards, and managing performance against scientific outputs. Customer-facing experience, either as a CRO scientific lead working with external customers, or as a pharma or biotech scientist embedded with internal customer teams. NICE TO HAVE Hands-on experience in cell line engineering, particularly iPSC differentiation or CRISPR-edited stable cell line generation. Direct experience moving screens from manual workflows onto lab automation platforms. Familiarity with structured experimental data capture, LIMS, ELN, or analogous data infrastructure. Experience working with computational or AI/ML colleagues on closed-loop perturbation programmes. Background at an AI-native biotech or foundation model company. Why this is unusual Most senior functional genomics roles in industry sit either inside a pharma R&D group (slow iteration, internal customers only), inside a CRO (external customers, faster iteration, but optimised for service throughput rather than scientific decisions about screen design), or inside an AI-native biotech (fast iteration, but a single internal customer in the company's own pipeline). This is none of the three. You will be designing a screening menu that has to be automation-ready from the first manual experiment, working with foundation model labs on closed-loop programmes that do not have a precedent in any of those settings, and owning the proprietary dataset programme that turns the lab itself into a commercial asset. It is also a functional genomics role with significant software and AI surface area. Your design decisions affect what the orchestrator has to do . click apply for full job details
Aug 19, 2026
Full time
Open roles across robotics, biology, and infrastructure. London-based;some roles remote-friendly. Head of Functional Genomics Location London Employment Type Full time Location Type Hybrid Department Research The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring a Head of Functional Genomics to build and lead the functional genomics vertical from scratch. The vertical covers the full pipeline: cell line engineering, perturbation library design, screen execution, and bulk and single-cell sequencing readouts, with the resulting data feeding customer pipelines that include foundation model training for virtual cell models. This is the second scientific vertical we are bringing online: manual development is starting now, and full autonomous execution on workcells is targeted for mid-to-late 2027. You will own the screening menu, scope it against early customer demand, shape the workcells the screens will eventually run on, and build the team that operates the function at scale. You will be the senior functional genomics scientist in the company at hire. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co-founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co-founder, leading the intelligence software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab and we are not a CRO. We are an autonomous lab platform with closed-loop integration available as one operating mode for foundation model partners. The role You will own functional genomics end-to-end. Day one priorities are the scientific pieces of standing up a vertical from scratch: scoping the priority screening menu against early customer demand, developing and validating those screens manually, setting quality thresholds, and hiring the Principal Scientists, Scientists, and Lab Technicians who will operate the function at scale. The vertical will eventually span cell line engineering across catalogue lines and iPSC-derived models, perturbation library design and production, pooled screen execution, and bulk and single-cell sequencing readouts; the day-1 wedge is one end-to-end workflow through these stages, scoped narrowly to a focused starting subset within each, and you decide what that scope looks like. Two parts of the role are not standard, and they are why this role is so crucial to Substrate's success. The first is that the functional genomics vertical is being built AI-first from day one. Every screen is designed from scratch for full AI-in-the-loop automation, not retrofitted onto a manual workflow. You do the work by hand first, exactly as you would in a high-end pharma research lab, and then work with Automata's automation scientists to shape the workcells the screens will eventually run on. You will define the quality thresholds for each transition stage, decide which manual judgement calls have to be re-engineered out, and own the validation that proves equivalence at each step. The second is closed-loop work with foundation model partners. Substrate's distinctive operating mode is producing structured, machine-readable experimental data fast enough to feed directly into foundation model training. That changes how functional genomics screens get designed: cell line provenance, library composition, perturbation metadata, sequencing QC, and consistency across runs become first-class scientific constraints. You will work directly with model partners on screen co-design, and with our software and intelligence teams on how the resulting data flows back into customer pipelines and into Substrate's own data factory. You will also be the executive partner to the co-founders on anything functional-genomics related: the screening roadmap, the proprietary functional genomics dataset programme on the reserved fraction of lab capacity, and the customer conversations where functional genomics depth is decisive. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the lab. Set up workspace at our King's Cross site and start manual screen development. Scope the day-1 wedge against early customer demand: which cell line, which perturbation library, which sequencing readout, validated as one end-to-end workflow before the menu starts to expand. Hire the first Principal Scientist and Lab Technician alongside you. Define the roles, run the processes, close the offers. PHASE 1: SEP TO DEC 2026 Develop and validate the first screens manually. Set the reproducibility and quality thresholds that will serve as acceptance criteria for the moves to instrumented and to fully autonomous execution. Co-design protocols with the software and automation engineering teams so that the manual versions you validate are automation-ready by design. Decide which manual judgement calls have to be engineered out before they hit a workcell. Begin co-design conversations with the first commercial customers, including the foundation model partners coming online from mid-2027. PHASE 2: JAN TO MAR 2027 Workcells arrive in the lab. Move the validated screens onto them, running with instrumentation and human intervention in the loop ahead of full autonomous operation later in 2027. Validate equivalence against the manual baselines. Grow the team. Bring on the second Principal Scientist and the first scientists at the bench to support throughput as the screening menu opens to customers. Ship the first revenue on the functional genomics vertical from manual and semi-automated services. Who you are You are an experienced functional genomics scientist who has built or led a screening function at a biotech, pharma R&D, or CRO. You are comfortable in the detail at the bench and you are comfortable setting direction for a team. The shape of the problem is what attracts you: a screening portfolio that has to be designed for autonomous execution from day one, in a business where the data the lab produces is itself part of the product. You have hired and managed scientists, principal scientists, and technicians. You have set quality thresholds and held people to them. You have run screens that supported real customers, internal teams in pharma or biotech or external customers in a CRO setting, and you understand what enterprise-grade scientific operations look like. You are pragmatic about being hands-on at the bench in the first six to nine months, and excited about the team you will build behind you. You enjoy interviewing, hiring, mentoring, and setting standards. You will be in the lab at our King's Cross site at the cadence the science demands. That cadence will be heavy in the manual development phase and ease as the function grows and protocols move onto instrumentation. You are comfortable with that. MUST HAVE Seven or more years of experience in functional genomics or related disciplines (target validation, perturbation screening), with at least three in a senior or team-leading role at a biotech, pharma R&D, or CRO. End-to-end hands-on experience in at least one screening modality (typically CRISPR knockout or CRISPRi knockdown), covering cell line preparation, library design, screen execution, and sequencing readout, with working familiarity across single-cell readouts and validation workflows. Track record of leading a small scientific team end to end: hiring, setting quality standards, and managing performance against scientific outputs. Customer-facing experience, either as a CRO scientific lead working with external customers, or as a pharma or biotech scientist embedded with internal customer teams. NICE TO HAVE Hands-on experience in cell line engineering, particularly iPSC differentiation or CRISPR-edited stable cell line generation. Direct experience moving screens from manual workflows onto lab automation platforms. Familiarity with structured experimental data capture, LIMS, ELN, or analogous data infrastructure. Experience working with computational or AI/ML colleagues on closed-loop perturbation programmes. Background at an AI-native biotech or foundation model company. Why this is unusual Most senior functional genomics roles in industry sit either inside a pharma R&D group (slow iteration, internal customers only), inside a CRO (external customers, faster iteration, but optimised for service throughput rather than scientific decisions about screen design), or inside an AI-native biotech (fast iteration, but a single internal customer in the company's own pipeline). This is none of the three. You will be designing a screening menu that has to be automation-ready from the first manual experiment, working with foundation model labs on closed-loop programmes that do not have a precedent in any of those settings, and owning the proprietary dataset programme that turns the lab itself into a commercial asset. It is also a functional genomics role with significant software and AI surface area. Your design decisions affect what the orchestrator has to do . click apply for full job details
About the company The the company Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of the company, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including the company, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting edge AI research and production grade engineering, directly influencing multi objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi task ranking, sequential user modeling, and graph based travel recommendations. If you are passionate about building state of the art AI systems and mentoring a high performing team of scientists, this role is for you What You'll Do Technical Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next generation recommendation and ranking models. Solve complex, non linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi objective frameworks. System Architecture & Scalability: Oversee the deployment of low latency, high throughput retrieval and ranking pipelines (e.g., multi stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real time. Cross Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 8+ years of industry experience developing and deploying large scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users. Core Technical Expertise: Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi Task Learning (MTL), Multi gate Mixture of Experts (MMoE), or similar architectures optimized for multi objective optimization. Sequential & Temporal Modeling: Hands on experience building sequential recommendation systems that capture real time user session dynamics and long term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Desired: Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two Sided Marketplaces, specifically handling non linear user journeys and highly constrained inventory (e.g., hotel availability, tour timings). A strong track record of academic or industry contributions, including publications in top tier AI/IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS) or open source ML contributions. What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. the company Group takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like or as required by your team. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at - If you have any additional questions about careers at the company you can email us at - We have all the answers! company
Aug 17, 2026
Full time
About the company The the company Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of the company, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including the company, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting edge AI research and production grade engineering, directly influencing multi objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi task ranking, sequential user modeling, and graph based travel recommendations. If you are passionate about building state of the art AI systems and mentoring a high performing team of scientists, this role is for you What You'll Do Technical Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next generation recommendation and ranking models. Solve complex, non linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi objective frameworks. System Architecture & Scalability: Oversee the deployment of low latency, high throughput retrieval and ranking pipelines (e.g., multi stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real time. Cross Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 8+ years of industry experience developing and deploying large scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users. Core Technical Expertise: Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi Task Learning (MTL), Multi gate Mixture of Experts (MMoE), or similar architectures optimized for multi objective optimization. Sequential & Temporal Modeling: Hands on experience building sequential recommendation systems that capture real time user session dynamics and long term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Desired: Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two Sided Marketplaces, specifically handling non linear user journeys and highly constrained inventory (e.g., hotel availability, tour timings). A strong track record of academic or industry contributions, including publications in top tier AI/IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS) or open source ML contributions. What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. the company Group takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like or as required by your team. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at - If you have any additional questions about careers at the company you can email us at - We have all the answers! company
Principal Data Scientist (Fine-tuning & model optimisation) - AI Models Lead Hybrid: Remote Paying up to 130,000 + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. Looking for someone who has moved beyond prompt engineering and RAG into genuine model adaptation, evaluation, optimisation and fine-tuning. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, such as SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Aug 12, 2026
Full time
Principal Data Scientist (Fine-tuning & model optimisation) - AI Models Lead Hybrid: Remote Paying up to 130,000 + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. Looking for someone who has moved beyond prompt engineering and RAG into genuine model adaptation, evaluation, optimisation and fine-tuning. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, such as SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Open roles across robotics, biology, and infrastructure. London-based;some roles remote-friendly. Molecular Characterisation Scientist, Biologics Location London Employment Type Full time Location Type On-site Department Research The opportunity Substrate is building the molecular characterisation cascade that turns purified protein into trustworthy, quality-controlled, biophysically characterised data at scale, and you will build it from the first manual run. This is the work downstream of protein production and upstream of functional assays: quality control, binding, stability, and developability, developed by hand and engineered to move onto automation. The data this cascade produces is the product. Substrate is the critical infrastructure layer between AI and biology, and biological foundation models can predict but cannot experiment; the high quality, large scale data they need does not exist yet. Your work at the bench is what brings it into existence. About Substrate Substrate is building the critical infrastructure layer between AI and biology: an AI native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict but cannot experiment, and the high quality, large scale data they need does not exist. Substrate generates it, with quality and provenance built in. We are not a CRO and we are not a cloud lab. The company was founded by four co founders and is funded through a combination of equity and debt. The first lab is in London, with a larger automation node to follow. The work starts with two scientific verticals, protein characterisation and functional genomics, and this role sits at the heart of the protein characterisation work. The role You will build the molecular characterisation cascade that sits downstream of protein production and upstream of functional assays: the biophysical, analytical, and developability assays that decide what each molecule is and whether it holds up. The cascade will eventually run autonomously on Substrate's automation platform. In the first phase, you develop each assay by hand, running protocols manually, setting reproducibility and quality thresholds, and proving each assay out before it moves onto instrumentation. As the automation platform comes online, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. Every level works directly with the automation engineering and software teams on the boundary between scientific protocols and autonomous execution. We are hiring across three levels Principal Scientists own a slice of the assay menu end to end: scoping, designing the manual protocol, validating it to acceptance thresholds, authoring the SOPs that translate into automation design, and seeing it through to automated execution. Scientists work alongside Principal Scientists at the bench, executing the experiments, contributing to validation work, and growing into protocol authorship over the first year. Lab Technicians are the hands on execution layer: following established SOPs, preparing reagents and consumables, maintaining equipment, and running routine steps of validated protocols so that Scientists and Principal Scientists can focus on design and troubleshooting. What you will do in your first twelve months Phase 0 - Now to AUG 2026 Land in the lab. Set up your bench at the London site and start manual assay development alongside a senior member of the protein sciences vertical. Get hands on the first priority characterisation assays as the day one menu locks. Start building QC (purity, concentration, oligomeric state), binding (SPR or BLI), and stability (nanoDSF, DLS) readouts. Run them by hand on equipment that will eventually move onto the automation platform, capturing the data structure and metadata decisions that translate into automation design. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to the day one menu decisions and begin authoring SOPs for your slice of the assay portfolio. Help interview the scientists and lab technicians joining alongside you. Phase 1 - SEP to DEC 2026 Develop and validate a QC (purity, concentration, oligomeric state), binding (SPR or BLI), and stability (nanoDSF, DLS) workflow, first manually and then in a semi automated state, running at a scale of hundreds to a thousand samples per week and ready for full automation. Begin development of a developability package (HIC, heparin binding, AC SINS, and similar), with assay design guided primarily by downstream automation compatibility. Co design protocols with the software and automation engineering teams so the manual versions you validate are automation ready by design. Decide which manual judgement calls have to be engineered out before they reach the platform. Contribute to co design conversations with the first commercial customers, including the foundation model partners coming online from 2027. Phase 2 - JAN to MAR 2027 Workcells arrive in the lab. Move the validated assays onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. Open the assay menu to customers through manual and semi automated services. Run real experiments for real customers. Help bring on the next scientists and lab technicians as the vertical grows. Who you are You are a protein scientist who is excited about the actual work: designing, validating, and running biophysical and developability assays at the bench. You are comfortable in the details. You have hands on experience collecting and analysing binding kinetics and affinity data, and assessing the developability of biologics. The shape of the problem is what attracts you: assays designed for autonomous execution from day one, in a business where the data the lab produces is itself the product. You write good SOPs, and you hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands on in the early phase, when the cadence is heaviest, and you understand it eases as protocols move onto instrumentation. You enjoy working at the boundary with non biologist colleagues (automation engineers, software engineers, AI researchers), and you do not require them to be scientifically fluent before you will collaborate. We are hiring across three tiers: Lab Technician, Scientist, and Principal Scientist. The work is hands on bench science at all levels, with collaboration into automation and software; the difference is depth of ownership, design authority, and responsibility. We do not hire people into boxes, and the early team stretches beyond the strict edges of any role. Must Have - All Three Tiers Hands on experience with biophysical and/or analytical instrumentation for protein characterisation. Comfortable executing assays in a high throughput format through manual, semi automated, and instrumented phases. A track record of working alongside non scientist colleagues (automation, software, computational) on a shared workflow. Must Have - Lab Technician Relevant hands on lab experience, including apprenticeships or technician roles, is the primary consideration. Comfortable following written SOPs precisely and flagging deviations. You do not need to design experiments, but you do need to execute them reliably and communicate clearly when something looks off. Hands on familiarity with basic wet lab technique: accurate pipetting, buffer and reagent preparation, sample handling, plate setup, and instrument use. Exposure to plate readers, chromatography systems (HPLC), biophysical instruments (nanoDSF, DLS, SPR/BLI), or semi automated workflows (plate based liquid handlers) is helpful but not required. Comfortable in a fast paced, early stage environment where protocols are still being written. You are methodical, safety conscious, and do not take shortcuts. Aware of structured experimental data capture, and able to use a LIMS, ELN, or analogous infrastructure. Must Have - Scientist A PhD in protein biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands on experience; or an MSc with five years of experience in the same area. Independent, hands on competence on at least one biophysical binding platform (SPR or BLI), plus one or more orthogonal characterisation or developability assays (for example nanoDSF/DSF, DLS, analytical SEC, HIC, AC SINS, cIEF, or PAIA). Some exposure to one or more of these areas at high throughput (96 and 384 well plate formats). Confident data analysis: kinetics fitting and interpretation, and telling instrument artefacts apart from genuine molecule behaviour. Fluency with structured experimental data capture, and proficiency with a LIMS, ELN, or analogous infrastructure. Ready to grow into protocol authorship and SOP ownership over the first twelve months. Must Have - Principal Scientist A PhD in protein biochemistry, biophysics, analytical characterisation, or biologics developability, with five or more years of relevant hands on experience (at least two in industry); or a relevant science MSc with eight years of equivalent bench experience in protein science (at least two in industry). Independent, extensive experience with biologics characterisation workflows across at least three core areas, such as full SPR/BLI kinetics . click apply for full job details
Aug 05, 2026
Full time
Open roles across robotics, biology, and infrastructure. London-based;some roles remote-friendly. Molecular Characterisation Scientist, Biologics Location London Employment Type Full time Location Type On-site Department Research The opportunity Substrate is building the molecular characterisation cascade that turns purified protein into trustworthy, quality-controlled, biophysically characterised data at scale, and you will build it from the first manual run. This is the work downstream of protein production and upstream of functional assays: quality control, binding, stability, and developability, developed by hand and engineered to move onto automation. The data this cascade produces is the product. Substrate is the critical infrastructure layer between AI and biology, and biological foundation models can predict but cannot experiment; the high quality, large scale data they need does not exist yet. Your work at the bench is what brings it into existence. About Substrate Substrate is building the critical infrastructure layer between AI and biology: an AI native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict but cannot experiment, and the high quality, large scale data they need does not exist. Substrate generates it, with quality and provenance built in. We are not a CRO and we are not a cloud lab. The company was founded by four co founders and is funded through a combination of equity and debt. The first lab is in London, with a larger automation node to follow. The work starts with two scientific verticals, protein characterisation and functional genomics, and this role sits at the heart of the protein characterisation work. The role You will build the molecular characterisation cascade that sits downstream of protein production and upstream of functional assays: the biophysical, analytical, and developability assays that decide what each molecule is and whether it holds up. The cascade will eventually run autonomously on Substrate's automation platform. In the first phase, you develop each assay by hand, running protocols manually, setting reproducibility and quality thresholds, and proving each assay out before it moves onto instrumentation. As the automation platform comes online, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. Every level works directly with the automation engineering and software teams on the boundary between scientific protocols and autonomous execution. We are hiring across three levels Principal Scientists own a slice of the assay menu end to end: scoping, designing the manual protocol, validating it to acceptance thresholds, authoring the SOPs that translate into automation design, and seeing it through to automated execution. Scientists work alongside Principal Scientists at the bench, executing the experiments, contributing to validation work, and growing into protocol authorship over the first year. Lab Technicians are the hands on execution layer: following established SOPs, preparing reagents and consumables, maintaining equipment, and running routine steps of validated protocols so that Scientists and Principal Scientists can focus on design and troubleshooting. What you will do in your first twelve months Phase 0 - Now to AUG 2026 Land in the lab. Set up your bench at the London site and start manual assay development alongside a senior member of the protein sciences vertical. Get hands on the first priority characterisation assays as the day one menu locks. Start building QC (purity, concentration, oligomeric state), binding (SPR or BLI), and stability (nanoDSF, DLS) readouts. Run them by hand on equipment that will eventually move onto the automation platform, capturing the data structure and metadata decisions that translate into automation design. Build reproducibility, precision, and acceptance thresholds into the workflow. Contribute to the day one menu decisions and begin authoring SOPs for your slice of the assay portfolio. Help interview the scientists and lab technicians joining alongside you. Phase 1 - SEP to DEC 2026 Develop and validate a QC (purity, concentration, oligomeric state), binding (SPR or BLI), and stability (nanoDSF, DLS) workflow, first manually and then in a semi automated state, running at a scale of hundreds to a thousand samples per week and ready for full automation. Begin development of a developability package (HIC, heparin binding, AC SINS, and similar), with assay design guided primarily by downstream automation compatibility. Co design protocols with the software and automation engineering teams so the manual versions you validate are automation ready by design. Decide which manual judgement calls have to be engineered out before they reach the platform. Contribute to co design conversations with the first commercial customers, including the foundation model partners coming online from 2027. Phase 2 - JAN to MAR 2027 Workcells arrive in the lab. Move the validated assays onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. Open the assay menu to customers through manual and semi automated services. Run real experiments for real customers. Help bring on the next scientists and lab technicians as the vertical grows. Who you are You are a protein scientist who is excited about the actual work: designing, validating, and running biophysical and developability assays at the bench. You are comfortable in the details. You have hands on experience collecting and analysing binding kinetics and affinity data, and assessing the developability of biologics. The shape of the problem is what attracts you: assays designed for autonomous execution from day one, in a business where the data the lab produces is itself the product. You write good SOPs, and you hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands on in the early phase, when the cadence is heaviest, and you understand it eases as protocols move onto instrumentation. You enjoy working at the boundary with non biologist colleagues (automation engineers, software engineers, AI researchers), and you do not require them to be scientifically fluent before you will collaborate. We are hiring across three tiers: Lab Technician, Scientist, and Principal Scientist. The work is hands on bench science at all levels, with collaboration into automation and software; the difference is depth of ownership, design authority, and responsibility. We do not hire people into boxes, and the early team stretches beyond the strict edges of any role. Must Have - All Three Tiers Hands on experience with biophysical and/or analytical instrumentation for protein characterisation. Comfortable executing assays in a high throughput format through manual, semi automated, and instrumented phases. A track record of working alongside non scientist colleagues (automation, software, computational) on a shared workflow. Must Have - Lab Technician Relevant hands on lab experience, including apprenticeships or technician roles, is the primary consideration. Comfortable following written SOPs precisely and flagging deviations. You do not need to design experiments, but you do need to execute them reliably and communicate clearly when something looks off. Hands on familiarity with basic wet lab technique: accurate pipetting, buffer and reagent preparation, sample handling, plate setup, and instrument use. Exposure to plate readers, chromatography systems (HPLC), biophysical instruments (nanoDSF, DLS, SPR/BLI), or semi automated workflows (plate based liquid handlers) is helpful but not required. Comfortable in a fast paced, early stage environment where protocols are still being written. You are methodical, safety conscious, and do not take shortcuts. Aware of structured experimental data capture, and able to use a LIMS, ELN, or analogous infrastructure. Must Have - Scientist A PhD in protein biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands on experience; or an MSc with five years of experience in the same area. Independent, hands on competence on at least one biophysical binding platform (SPR or BLI), plus one or more orthogonal characterisation or developability assays (for example nanoDSF/DSF, DLS, analytical SEC, HIC, AC SINS, cIEF, or PAIA). Some exposure to one or more of these areas at high throughput (96 and 384 well plate formats). Confident data analysis: kinetics fitting and interpretation, and telling instrument artefacts apart from genuine molecule behaviour. Fluency with structured experimental data capture, and proficiency with a LIMS, ELN, or analogous infrastructure. Ready to grow into protocol authorship and SOP ownership over the first twelve months. Must Have - Principal Scientist A PhD in protein biochemistry, biophysics, analytical characterisation, or biologics developability, with five or more years of relevant hands on experience (at least two in industry); or a relevant science MSc with eight years of equivalent bench experience in protein science (at least two in industry). Independent, extensive experience with biologics characterisation workflows across at least three core areas, such as full SPR/BLI kinetics . click apply for full job details
About the company The the company Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of the company, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including the company, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the art AI systems and mentoring a high-performing team of scientists, this role is for you What You'll Do Technical Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi-objective frameworks. System Architecture & Scalability: Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time. Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users. Core Technical Expertise: Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization. Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Desired: Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two-Sided Marketplaces, specifically handling non-linear user journeys and highly constrained inventory (e.g., hotel availability, tour timings). A strong track record of academic or industry contributions, including publications in top-tier AI/IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS) or open-source ML contributions. What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. the company Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at -
Aug 01, 2026
Full time
About the company The the company Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of the company, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including the company, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the art AI systems and mentoring a high-performing team of scientists, this role is for you What You'll Do Technical Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi-objective frameworks. System Architecture & Scalability: Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time. Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users. Core Technical Expertise: Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization. Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Desired: Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two-Sided Marketplaces, specifically handling non-linear user journeys and highly constrained inventory (e.g., hotel availability, tour timings). A strong track record of academic or industry contributions, including publications in top-tier AI/IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS) or open-source ML contributions. What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. the company Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at -
Principal Machine Learning Scientist (Experiences) London, United Kingdom About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the-art AI systems and mentoring a high-performing team of scientists, this role is for you What You'll Do Technical Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi-objective frameworks. System Architecture & Scalability: Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time. Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users. Core Technical Expertise: Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization. Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two-Sided Marketplaces, specifically handling non-linear user journeys and highly constrained inventory (e.g., hotel availability, tour timings). A strong track record of academic or industry contributions, including publications in top-tier AI/IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS) or open-source ML contributions. What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!
Aug 01, 2026
Full time
Principal Machine Learning Scientist (Experiences) London, United Kingdom About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the-art AI systems and mentoring a high-performing team of scientists, this role is for you What You'll Do Technical Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi-objective frameworks. System Architecture & Scalability: Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time. Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users. Core Technical Expertise: Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization. Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two-Sided Marketplaces, specifically handling non-linear user journeys and highly constrained inventory (e.g., hotel availability, tour timings). A strong track record of academic or industry contributions, including publications in top-tier AI/IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS) or open-source ML contributions. What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!
About the company The the company Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of the company, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including the company, Viator, and TheFork. the company Experiences, a division of the company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. The role As the Senior Director, Machine Learning, you will spearhead our Machine Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation, and ranking systems that power how travelers discover and book experiences; rigorous experimentation; and the responsible application of generative AI - all built on our rich first-party data. You will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will be a strategic leader and a credible technologist: a player-coach who sets technical direction, holds the scientific bar, and stays close enough to the work to earn the trust of a demanding team. You will lead and grow the organization through a layer of managers as it scales. What you'll do Leading through a team of managers and senior scientists, you will: Build and lead a unified ML organization. Consolidate and grow ML scientists currently embedded across engineering into one hub-and-spoke model; define the operating model, decision rights, and service commitments so product areas keep momentum through the change. Own the personalization strategy. Set the technical direction for the recommendation, ranking, and search-relevance systems that personalize the traveler journey - multi-objective ranking, sequential and session-based recommenders, embeddings and semantic retrieval, and real-time features - the models that drive discovery and conversion at scale. Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards - A/B testing, guardrail metrics, and rigorous measurement of incremental business impact - as a decision-science partner to Product and the business, championing a strong experimentation culture across the organization. Shape our generative-AI direction. Own the strategy for applying LLMs and generative AI across the Experiences product - conversational trip planning, retrieval-augmented generation grounded in our first-party reviews and content, and automated content - with rigorous evaluation to control quality and cost, including agentic and LLM-driven experiences as this work scales. Grow, develop, and retain the team. Shape ML and data-science career ladders and dual technical/management tracks; partner with Talent Acquisition to attract and hire top-tier ML and data-science talent; calibrate hiring and promotions; establish standards for the research-to-production model lifecycle; and develop both the management track and the senior IC bench - Staff and Principal Scientists. Own production ML health. Set and enforce the standards for reliable, well-monitored, cost-effective models in production - deployment, retraining, monitoring and governance - and the service levels (SLAs) of the ML organization. Partnering with MLOps infrastructure team. Partner across the company. Translate commercial strategy into an ML roadmap with Product, Engineering, Design, and Analytics leadership; represent ML in executive planning; and connect model performance to business outcomes. What you'll bring Substantial experience in machine learning, together with significant experience leading managers and senior technical teams in a complex, scaled organisation. A track record of shipping production machine learning at scale - ideally personalization, recommendations, search/ranking, or similar - to large consumer traffic, with measurable business impact. Experience building, scaling, or restructuring an ML or data-science organization, and the change-management skill to consolidate and align teams without disrupting delivery. The ability to operate as an executive peer - influencing Director- and VP-level partners across Product and Engineering and shaping strategy, not just execution. A strategic player-coach's technical depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar. Strong grounding in experimentation and statistics - A/B testing, causal inference, and rigorous measurement of impact. An MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related), or equivalent depth of applied experience. Excellent communication - the ability to translate complex ML concepts into business decisions for technical and non-technical audiences alike. Job Location: Hybrid - UK (London/Oxford) or Poland (Krakow) This role is a hybrid position that requires 2 days per week in our office What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. the company Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at - If you have any additional questions about careers at the company you can email us at - We have all the answers! Find Jobs in United Kingdom on Arbeitnow
Jul 30, 2026
Full time
About the company The the company Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of the company, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including the company, Viator, and TheFork. the company Experiences, a division of the company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. The role As the Senior Director, Machine Learning, you will spearhead our Machine Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation, and ranking systems that power how travelers discover and book experiences; rigorous experimentation; and the responsible application of generative AI - all built on our rich first-party data. You will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will be a strategic leader and a credible technologist: a player-coach who sets technical direction, holds the scientific bar, and stays close enough to the work to earn the trust of a demanding team. You will lead and grow the organization through a layer of managers as it scales. What you'll do Leading through a team of managers and senior scientists, you will: Build and lead a unified ML organization. Consolidate and grow ML scientists currently embedded across engineering into one hub-and-spoke model; define the operating model, decision rights, and service commitments so product areas keep momentum through the change. Own the personalization strategy. Set the technical direction for the recommendation, ranking, and search-relevance systems that personalize the traveler journey - multi-objective ranking, sequential and session-based recommenders, embeddings and semantic retrieval, and real-time features - the models that drive discovery and conversion at scale. Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards - A/B testing, guardrail metrics, and rigorous measurement of incremental business impact - as a decision-science partner to Product and the business, championing a strong experimentation culture across the organization. Shape our generative-AI direction. Own the strategy for applying LLMs and generative AI across the Experiences product - conversational trip planning, retrieval-augmented generation grounded in our first-party reviews and content, and automated content - with rigorous evaluation to control quality and cost, including agentic and LLM-driven experiences as this work scales. Grow, develop, and retain the team. Shape ML and data-science career ladders and dual technical/management tracks; partner with Talent Acquisition to attract and hire top-tier ML and data-science talent; calibrate hiring and promotions; establish standards for the research-to-production model lifecycle; and develop both the management track and the senior IC bench - Staff and Principal Scientists. Own production ML health. Set and enforce the standards for reliable, well-monitored, cost-effective models in production - deployment, retraining, monitoring and governance - and the service levels (SLAs) of the ML organization. Partnering with MLOps infrastructure team. Partner across the company. Translate commercial strategy into an ML roadmap with Product, Engineering, Design, and Analytics leadership; represent ML in executive planning; and connect model performance to business outcomes. What you'll bring Substantial experience in machine learning, together with significant experience leading managers and senior technical teams in a complex, scaled organisation. A track record of shipping production machine learning at scale - ideally personalization, recommendations, search/ranking, or similar - to large consumer traffic, with measurable business impact. Experience building, scaling, or restructuring an ML or data-science organization, and the change-management skill to consolidate and align teams without disrupting delivery. The ability to operate as an executive peer - influencing Director- and VP-level partners across Product and Engineering and shaping strategy, not just execution. A strategic player-coach's technical depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar. Strong grounding in experimentation and statistics - A/B testing, causal inference, and rigorous measurement of impact. An MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related), or equivalent depth of applied experience. Excellent communication - the ability to translate complex ML concepts into business decisions for technical and non-technical audiences alike. Job Location: Hybrid - UK (London/Oxford) or Poland (Krakow) This role is a hybrid position that requires 2 days per week in our office What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. the company Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at - If you have any additional questions about careers at the company you can email us at - We have all the answers! Find Jobs in United Kingdom on Arbeitnow
