LII Data Science is seeking a Data Science Manager to lead and inspire a team of data scientists supporting our LII regions. As the people leader for this group, you will drive the growth and retention of top data science talent while ensuring transparency and accountability across all regional AI initiatives. Your primary focus will be delivering impactful data science solutions aligned with the strategic priorities of your region's business and actuarial teams. You will cultivate strong relationships with regional business and actuarial leaders, ensuring that their insights and needs are reflected in your team's project backlog and execution plans. Additionally, you'll maintain a close partnership with LII delivery leads and collaborate regularly with product managers specializing in AI Automation, AI Augmentation, and Centre of Excellence (CoE) leadership, sharing best practices and driving alignment on priorities. You will be a key connector between regional and global priorities, balancing local innovation with awareness of broader, cross-regional objectives and US leadership's expectations for ROI and strategic impact. Key Responsibilities: Lead, coach, and develop a team of data scientists, focusing on their growth, engagement, and retention in the UK/EU and APAC regions. Foster a culture of transparency in project execution, communicating status, challenges, and outcomes clearly to stakeholders. Build and maintain strong relationships with regional business leaders, actuarial heads, and delivery leads to ensure regional priorities and innovative ideas drive the backlog. Collaborate with product managers for AI Automation, AI Augmentation, and the CoE to align on project direction, share resources, and drive synergy in solution delivery. Facilitate cross-functional teamwork to enable delivery of data science solutions that provide tangible business impact and support regional goals. Work with US leadership to ensure alignment on business priorities, ROI targets, and strategic objectives, and communicate regional progress and challenges. Maintain awareness of cross-regional initiatives and leverage learnings to enhance your region's analytics capabilities. Oversee the review and improvement of data science tools, processes, and model performance, with input from regional actuarial and business stakeholders. Ensure your team stays current with AI, machine learning, and insurance analytics developments, bringing new ideas and methodologies to the region. Champion best practices for collaboration, knowledge sharing, and standardized delivery across regions. Skills and Experience: Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Actuarial Science, Engineering, or related field. Relevant experience in data science or analytics, with some experience in people leadership and mentoring. Demonstrated ability to lead a team, drive resource growth and retention, and foster an inclusive, high-performance culture. Strong relationship-building skills with business leaders, actuarial teams, and cross-functional partners; ability to turn regional needs into actionable data science projects. Solid understanding of insurance business drivers, regional market contexts, and the intersection of actuarial and data science methods. Experience collaborating across geographies and with global leadership to align on priorities, ROI, and shared goals. Proven record of delivering data science solutions in a fast-paced, multi-stakeholder environment. Excellent communication skills, with ability to transparently report on execution and engage a variety of technical and non-technical stakeholders. Familiarity with Python and common data science tools; exposure to actuarial analytics is a strong plus. Experience in the insurance or financial services industry highly preferred. About Liberty International Insurance LII is part of Global Risk Solutions and the broader Liberty Mutual Insurance Group, which is a leading global insurer. We offer a breadth of world-class insurance and reinsurance services to brokers and customers in all major markets across the globe. Our people are key to our success. That is why "Put People First" is one of the five Liberty values which unite us as a global organisation. We bring this to life for our colleagues through: Offering a vibrant and inclusive environment and committing to their career development. Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee led networks strengthen the diversity of our workforce and our inclusive environment. Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals. A supportive culture, which includes promoting a healthy work life balance and working flexibly. For more information, please follow the links below:
Mar 01, 2026
Full time
LII Data Science is seeking a Data Science Manager to lead and inspire a team of data scientists supporting our LII regions. As the people leader for this group, you will drive the growth and retention of top data science talent while ensuring transparency and accountability across all regional AI initiatives. Your primary focus will be delivering impactful data science solutions aligned with the strategic priorities of your region's business and actuarial teams. You will cultivate strong relationships with regional business and actuarial leaders, ensuring that their insights and needs are reflected in your team's project backlog and execution plans. Additionally, you'll maintain a close partnership with LII delivery leads and collaborate regularly with product managers specializing in AI Automation, AI Augmentation, and Centre of Excellence (CoE) leadership, sharing best practices and driving alignment on priorities. You will be a key connector between regional and global priorities, balancing local innovation with awareness of broader, cross-regional objectives and US leadership's expectations for ROI and strategic impact. Key Responsibilities: Lead, coach, and develop a team of data scientists, focusing on their growth, engagement, and retention in the UK/EU and APAC regions. Foster a culture of transparency in project execution, communicating status, challenges, and outcomes clearly to stakeholders. Build and maintain strong relationships with regional business leaders, actuarial heads, and delivery leads to ensure regional priorities and innovative ideas drive the backlog. Collaborate with product managers for AI Automation, AI Augmentation, and the CoE to align on project direction, share resources, and drive synergy in solution delivery. Facilitate cross-functional teamwork to enable delivery of data science solutions that provide tangible business impact and support regional goals. Work with US leadership to ensure alignment on business priorities, ROI targets, and strategic objectives, and communicate regional progress and challenges. Maintain awareness of cross-regional initiatives and leverage learnings to enhance your region's analytics capabilities. Oversee the review and improvement of data science tools, processes, and model performance, with input from regional actuarial and business stakeholders. Ensure your team stays current with AI, machine learning, and insurance analytics developments, bringing new ideas and methodologies to the region. Champion best practices for collaboration, knowledge sharing, and standardized delivery across regions. Skills and Experience: Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Actuarial Science, Engineering, or related field. Relevant experience in data science or analytics, with some experience in people leadership and mentoring. Demonstrated ability to lead a team, drive resource growth and retention, and foster an inclusive, high-performance culture. Strong relationship-building skills with business leaders, actuarial teams, and cross-functional partners; ability to turn regional needs into actionable data science projects. Solid understanding of insurance business drivers, regional market contexts, and the intersection of actuarial and data science methods. Experience collaborating across geographies and with global leadership to align on priorities, ROI, and shared goals. Proven record of delivering data science solutions in a fast-paced, multi-stakeholder environment. Excellent communication skills, with ability to transparently report on execution and engage a variety of technical and non-technical stakeholders. Familiarity with Python and common data science tools; exposure to actuarial analytics is a strong plus. Experience in the insurance or financial services industry highly preferred. About Liberty International Insurance LII is part of Global Risk Solutions and the broader Liberty Mutual Insurance Group, which is a leading global insurer. We offer a breadth of world-class insurance and reinsurance services to brokers and customers in all major markets across the globe. Our people are key to our success. That is why "Put People First" is one of the five Liberty values which unite us as a global organisation. We bring this to life for our colleagues through: Offering a vibrant and inclusive environment and committing to their career development. Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee led networks strengthen the diversity of our workforce and our inclusive environment. Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals. A supportive culture, which includes promoting a healthy work life balance and working flexibly. For more information, please follow the links below:
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Join Expedia Group's Growth Marketing Technology team to help shape the future of marketing through data driven innovation and AI powered solutions. As a Senior Product Manager, you'll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders. Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. Conduct market and trend analysis to inform product strategy and identify opportunities for innovation. Build deep understanding of data infrastructure and be able to source data dictionaries, database schema for wider use. Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements. Experience and qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience. 8+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred. Well versed in design thinking principles. Great problem solving and analytical skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Mar 01, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Join Expedia Group's Growth Marketing Technology team to help shape the future of marketing through data driven innovation and AI powered solutions. As a Senior Product Manager, you'll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders. Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. Conduct market and trend analysis to inform product strategy and identify opportunities for innovation. Build deep understanding of data infrastructure and be able to source data dictionaries, database schema for wider use. Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements. Experience and qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience. 8+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred. Well versed in design thinking principles. Great problem solving and analytical skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Overview Job description Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Feb 3 2026 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. Position Summary You will lead applied and translational omics analyses that turn complex biological data into clear decisions. You will work with experimental scientists, data engineers, and clinical teams to design analyses and integrate multi-omic and clinical data. 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. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Design and run reproducible analyses of genomic, transcriptomic, proteomic and other omics datasets. Integrate multi-omic and clinical data to prioritize targets, nominate biomarkers, and define patient subgroups. Build, validate and productionize analysis pipelines and tools that support cross-functional teams. Communicate results clearly and make practical recommendations to project teams and decision-makers. Collaborate with laboratory and clinical colleagues to design analyses that guide experiments and studies. Ensure data quality, metadata standards, documentation and reproducible research practices. Key Responsibilities: Lead hands-on analysis of large, diverse omics datasets, including bulk and single-cell data. Apply statistical methods, machine learning, and causal inference to answer translational questions. Develop scripts, workflows, and software artifacts that follow reproducible research and FAIR principles. Troubleshoot data issues, perform rigorous quality control and document analysis steps. Mentor junior scientists and contribute to a collaborative and respectful team culture. Monitor new methods and tools and evaluate them for adoption in projects. Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data. Help drive the evaluation and development, and lead the application, of analytics methods for spatial and single cell omics in the context of clinical studies. Work within or lead cross-functional project teams with GSK scientists and external collaborators, focusing on impacting clinical study and biomarker decisions across respiratory, immunology, infectious disease, neurodegeneration or metabolic disease. Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams. Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills. Additional responsibilities include advancing analytics in spatial and single-cell omics within clinical studies and collaborating across cross-functional teams to support biomarker decisions. Why You? Basic Qualifications: Advanced degree (Master's with relevant experience or PhD preferred) in computational biology, bioinformatics, genetics, biostatistics, or related field. Programming experience in R and/or Python for data analysis and scripting. Experience processing and analyzing large omics datasets, including quality control and normalization. Experience with common genomics file formats and tools (for example VCF, BAM/FASTQ, single-cell data structures). Experience reproducible analyses and use of version control (for example Git). 1+ years of experience with single-cell and spatial omics analysis workflows. Preferred Qualifications: Clear communication skills and experience working in multidisciplinary teams. Experience integrating omics with clinical or real-world data for translational analyses. Experience productionizing pipelines or contributing to shared analysis platforms. Evidence of influencing research through publications or major project contributions. Proven ability to derive and apply novel insights from these and other emerging genomic technologies. Ability to critically evaluate cutting-edge tools and frameworks for single-cell and spatial data analysis, integration, visualization, and interpretation, and their application to clinical development. Proven expertise in statistical modelling, hypothesis testing, and data-driven inference. Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers. Experience with clinical trial data analysis and working in a regulatory environment. Notes: This position requires on-site attendance in accordance with GSK's Performance with Choice policy. Salary and benefits: If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $121,275 to $202,125. The US salary ranges take into account factors including location, skills, experience, and market rate. This position offers an annual bonus and eligibility to participate in our share-based long-term incentive program. Available benefits include health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit the GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We 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. 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. If your inquiry does not relate to adjustments, we will not be able to support you through these channels. 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, pregnancy, gender identity, or sexual orientation, parental status, national origin, age, disability, or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies. 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.
Mar 01, 2026
Full time
Overview Job description Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Feb 3 2026 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. Position Summary You will lead applied and translational omics analyses that turn complex biological data into clear decisions. You will work with experimental scientists, data engineers, and clinical teams to design analyses and integrate multi-omic and clinical data. 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. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Design and run reproducible analyses of genomic, transcriptomic, proteomic and other omics datasets. Integrate multi-omic and clinical data to prioritize targets, nominate biomarkers, and define patient subgroups. Build, validate and productionize analysis pipelines and tools that support cross-functional teams. Communicate results clearly and make practical recommendations to project teams and decision-makers. Collaborate with laboratory and clinical colleagues to design analyses that guide experiments and studies. Ensure data quality, metadata standards, documentation and reproducible research practices. Key Responsibilities: Lead hands-on analysis of large, diverse omics datasets, including bulk and single-cell data. Apply statistical methods, machine learning, and causal inference to answer translational questions. Develop scripts, workflows, and software artifacts that follow reproducible research and FAIR principles. Troubleshoot data issues, perform rigorous quality control and document analysis steps. Mentor junior scientists and contribute to a collaborative and respectful team culture. Monitor new methods and tools and evaluate them for adoption in projects. Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data. Help drive the evaluation and development, and lead the application, of analytics methods for spatial and single cell omics in the context of clinical studies. Work within or lead cross-functional project teams with GSK scientists and external collaborators, focusing on impacting clinical study and biomarker decisions across respiratory, immunology, infectious disease, neurodegeneration or metabolic disease. Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams. Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills. Additional responsibilities include advancing analytics in spatial and single-cell omics within clinical studies and collaborating across cross-functional teams to support biomarker decisions. Why You? Basic Qualifications: Advanced degree (Master's with relevant experience or PhD preferred) in computational biology, bioinformatics, genetics, biostatistics, or related field. Programming experience in R and/or Python for data analysis and scripting. Experience processing and analyzing large omics datasets, including quality control and normalization. Experience with common genomics file formats and tools (for example VCF, BAM/FASTQ, single-cell data structures). Experience reproducible analyses and use of version control (for example Git). 1+ years of experience with single-cell and spatial omics analysis workflows. Preferred Qualifications: Clear communication skills and experience working in multidisciplinary teams. Experience integrating omics with clinical or real-world data for translational analyses. Experience productionizing pipelines or contributing to shared analysis platforms. Evidence of influencing research through publications or major project contributions. Proven ability to derive and apply novel insights from these and other emerging genomic technologies. Ability to critically evaluate cutting-edge tools and frameworks for single-cell and spatial data analysis, integration, visualization, and interpretation, and their application to clinical development. Proven expertise in statistical modelling, hypothesis testing, and data-driven inference. Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers. Experience with clinical trial data analysis and working in a regulatory environment. Notes: This position requires on-site attendance in accordance with GSK's Performance with Choice policy. Salary and benefits: If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $121,275 to $202,125. The US salary ranges take into account factors including location, skills, experience, and market rate. This position offers an annual bonus and eligibility to participate in our share-based long-term incentive program. Available benefits include health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit the GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We 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. 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. If your inquiry does not relate to adjustments, we will not be able to support you through these channels. 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, pregnancy, gender identity, or sexual orientation, parental status, national origin, age, disability, or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies. 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.
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The role Overview: As a Software Engineer Intern working in the Applied Sciences Group, you ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL s hardware platforms. Here at ITL, we offer Real-world experience working on impactful projects. Guidance and mentorship from experienced professionals. Networking opportunities within the technology industry. A collaborative and dynamic work environment. Potential for a full-time role upon successful completion of the internship. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your responsibilities: You will be working in a fast-paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms. As a Computer Science Intern, you will: Collaborate with the computer science team to design, develop, and test software applications. Write clean, efficient, and maintainable code for various projects. Debug and troubleshoot issues in existing systems. Participate in brainstorming sessions and contribute to the development of new ideas. Conduct research on emerging technologies and recommend their applications. Document processes, technical designs, and findings. Qualifications: An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject. Your Skills and Experience: Strong experience of programming in Python. Basic knowledge of algorithms, data structures, and object-oriented programming Familiarity with software development methodologies (e.g., Agile, Scrum) An excellent communicator who s analytical minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
Feb 28, 2026
Full time
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The role Overview: As a Software Engineer Intern working in the Applied Sciences Group, you ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL s hardware platforms. Here at ITL, we offer Real-world experience working on impactful projects. Guidance and mentorship from experienced professionals. Networking opportunities within the technology industry. A collaborative and dynamic work environment. Potential for a full-time role upon successful completion of the internship. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your responsibilities: You will be working in a fast-paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms. As a Computer Science Intern, you will: Collaborate with the computer science team to design, develop, and test software applications. Write clean, efficient, and maintainable code for various projects. Debug and troubleshoot issues in existing systems. Participate in brainstorming sessions and contribute to the development of new ideas. Conduct research on emerging technologies and recommend their applications. Document processes, technical designs, and findings. Qualifications: An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject. Your Skills and Experience: Strong experience of programming in Python. Basic knowledge of algorithms, data structures, and object-oriented programming Familiarity with software development methodologies (e.g., Agile, Scrum) An excellent communicator who s analytical minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.
Feb 28, 2026
Full time
About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.
Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Feb 28, 2026
Full time
Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Senior/Staff Scientist - Full Stack Cheminformatics Developer The Role You will be joining an expanding team based in Glasgow. This position offers a unique opportunity to work in an interdisciplinary environment that integrates engineering, robotics, chemical synthesis, drug discovery, and advanced software development. As a Senior/Staff Cheminformatics Scientist you will play a pivotal role in building and deploying computational tools (algorithms, user interfaces, databases, and applications) that power Chemify's world-class integrated chemical platform. In this role, you will design, implement, and optimize cheminformatics algorithms to drive retrosynthetic route planning, reaction prediction, and chemical space exploration. Equally, you will contribute as a full stack developer, ensuring that these research innovations are transformed into robust, scalable software solutions for internal use and external deployment. Collaboration will be central to your success: you will work closely with cheminformatics, software engineering, process engineering, and synthetic chemistry teams to advance the development of the most automated, efficient, and versatile chemical manufacturing laboratory in the world. Key Responsibilities Design, develop, and maintain scalable full stack applications (frontend + backend) that integrate cheminformatics algorithms with Chemify's platform Prepare, curate, and manage chemical datasets for machine learning and cheminformatics applications Develop and benchmark AI/ML methods for retrosynthesis, reaction prediction, reaction likelihood estimation, and yield forecasting Translate cheminformatics research output into production-ready software tools, integrating with internal pipelines and laboratory automation platforms Implement and maintain robust data infrastructures, including relational and graph databases, to support cheminformatics applications Collaborate cross-functionally to align algorithm development, software engineering best practices, and experimental automation Present technical results, prototypes, and recommendations to leadership, customers, and interdisciplinary collaborators Contribute to the continuous improvement of Chemify's software engineering culture, tools, and workflows Requirements PhD in Computer Science, Cheminformatics, Data Science, Bioinformatics, or equivalent professional experience 3+ years of professional experience in full stack software development (e.g., React, FastAPI, Django, Node.js, or similar frameworks) Strong background in cheminformatics, including retrosynthesis concepts, reaction representations, and chemical space exploration Demonstrated expertise with cheminformatics toolkits (e.g., RDKit) and chemical reaction encoding (e.g., SMARTS/SMIRKS) Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and deploying ML models in production environments Experience with modern software engineering practices: CI/CD pipelines, version control (Git), automated testing, and code review Hands-on experience deploying applications on cloud platforms (e.g., AWS, GCP, or Azure) Strong problem-solving skills, with the ability to translate research prototypes into reliable software solutions Excellent written and verbal communication skills, with the ability to explain complex ideas to technical and non-technical audiences Desired Skills & Attributes Proven track record in developing or deploying computational retrosynthesis tools Experience with database systems: graph databases (Neo4j), relational (PostgreSQL/MySQL), and NoSQL (MongoDB) Familiarity with high-performance computing (HPC) environments and large-scale data pipelines Experience in deploying and scaling AI/ML-driven applications within production systems Background in agile methodologies (Agile/Scrum) and experience leading or mentoring interdisciplinary teams Passion for working at the intersection of chemistry and computation, with eagerness to learn new scientific and engineering concepts Ability to thrive in a fast-paced, collaborative research environment Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW Department Cheminformatics Job Title Senior/Staff Scientist - Full Stack Cheminformatics Developer
Feb 28, 2026
Full time
Senior/Staff Scientist - Full Stack Cheminformatics Developer The Role You will be joining an expanding team based in Glasgow. This position offers a unique opportunity to work in an interdisciplinary environment that integrates engineering, robotics, chemical synthesis, drug discovery, and advanced software development. As a Senior/Staff Cheminformatics Scientist you will play a pivotal role in building and deploying computational tools (algorithms, user interfaces, databases, and applications) that power Chemify's world-class integrated chemical platform. In this role, you will design, implement, and optimize cheminformatics algorithms to drive retrosynthetic route planning, reaction prediction, and chemical space exploration. Equally, you will contribute as a full stack developer, ensuring that these research innovations are transformed into robust, scalable software solutions for internal use and external deployment. Collaboration will be central to your success: you will work closely with cheminformatics, software engineering, process engineering, and synthetic chemistry teams to advance the development of the most automated, efficient, and versatile chemical manufacturing laboratory in the world. Key Responsibilities Design, develop, and maintain scalable full stack applications (frontend + backend) that integrate cheminformatics algorithms with Chemify's platform Prepare, curate, and manage chemical datasets for machine learning and cheminformatics applications Develop and benchmark AI/ML methods for retrosynthesis, reaction prediction, reaction likelihood estimation, and yield forecasting Translate cheminformatics research output into production-ready software tools, integrating with internal pipelines and laboratory automation platforms Implement and maintain robust data infrastructures, including relational and graph databases, to support cheminformatics applications Collaborate cross-functionally to align algorithm development, software engineering best practices, and experimental automation Present technical results, prototypes, and recommendations to leadership, customers, and interdisciplinary collaborators Contribute to the continuous improvement of Chemify's software engineering culture, tools, and workflows Requirements PhD in Computer Science, Cheminformatics, Data Science, Bioinformatics, or equivalent professional experience 3+ years of professional experience in full stack software development (e.g., React, FastAPI, Django, Node.js, or similar frameworks) Strong background in cheminformatics, including retrosynthesis concepts, reaction representations, and chemical space exploration Demonstrated expertise with cheminformatics toolkits (e.g., RDKit) and chemical reaction encoding (e.g., SMARTS/SMIRKS) Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and deploying ML models in production environments Experience with modern software engineering practices: CI/CD pipelines, version control (Git), automated testing, and code review Hands-on experience deploying applications on cloud platforms (e.g., AWS, GCP, or Azure) Strong problem-solving skills, with the ability to translate research prototypes into reliable software solutions Excellent written and verbal communication skills, with the ability to explain complex ideas to technical and non-technical audiences Desired Skills & Attributes Proven track record in developing or deploying computational retrosynthesis tools Experience with database systems: graph databases (Neo4j), relational (PostgreSQL/MySQL), and NoSQL (MongoDB) Familiarity with high-performance computing (HPC) environments and large-scale data pipelines Experience in deploying and scaling AI/ML-driven applications within production systems Background in agile methodologies (Agile/Scrum) and experience leading or mentoring interdisciplinary teams Passion for working at the intersection of chemistry and computation, with eagerness to learn new scientific and engineering concepts Ability to thrive in a fast-paced, collaborative research environment Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW Department Cheminformatics Job Title Senior/Staff Scientist - Full Stack Cheminformatics Developer
AI Fellow (AI4Science), AI Initiative, Global Health Programs page is loaded AI Fellow (AI4Science), AI Initiative, Global Health Programslocations: United Kingdom, London Project Officetime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: March 9, 2026 (12 days left to apply)job requisition id: JR2427PATH current employees - please log in and applyPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world's most pressing heath challenges. PATH's AI Initiative is pioneering the use of generative AI and other advanced digital technologies to accelerate biomedical discovery, strengthen regulatory systems, and enhance the safety and scalability of digital healthcare.The Research Fellow will be a key member of the AI4Science team, working under the supervision of the Deputy Director (AI4Science) and the Chief AI Officer to deliver research across the team's portfolio. You will have a particular focus on a flagship programme funded by FCDO that aims to accelerate global health research through AI Co-Scientist tools. This programme includes developing a benchmarking framework for evaluating AI Co-Scientist tools, running real-world demonstration projects in areas such as mental health therapeutics, antimicrobial resistance, and malaria vector control, and establishing a secretariat to support partners in adopting AI-for-science workflows.This is a hands-on role ideal for an applied researcher (post-PhD or equivalent) who enjoys experimentation, interdisciplinary collaboration, and translating emerging AI capabilities into real scientific workflows. You will own specific workstreams within the AI4Science portfolio, from experimental design through execution and publication, while collaborating closely with senior technical leadership and external partners. You will develop and test AI-assisted scientific workflows, and contribute to the growing evidence base for how AI can accelerate biomedical discovery. You will also contribute to the wider AI4Science portfolio, including work on vaccine development and other projects as they arise. This role does not necessarily require developing new foundation models, but does require strong fluency in applying, evaluating, and orchestrating modern AI systems (including LLMs and agentic workflows) specifically for scientific research.If you're a researcher who wants to work at the cutting edge of AI and biomedical science, with the opportunity to see your work translate into real-world impact for underserved communities, this could be the role for you. Responsabilities : Contribute to and, where appropriate, lead research activities across multiple projects within the AI4Science portfolio, including: Designing, building, and iterating benchmark evaluations for AI Co-Scientist tools, covering tasks such as knowledge retrieval, reasoning, robustness, rediscovery, and adversarial testing. Supporting the delivery of real-world demonstration projects (e.g., mental health therapeutics, AMR susceptibility testing, malaria vector control), including facilitating expert workshops, running AI-assisted hypothesis generation exercises, and coordinating small-scale lab validation studies with partners. Contributing to a landscape mapping exercise to catalogue and functionally test available AI Co-Scientist tools. Practical coordination support to help FCDO partners articulate research questions, select appropriate AI tools, and execute guided research sprints. Contributing to other AI4Science projects, such as work on identifying novel correlates of protection to accelerate vaccine development using agentic AI workflows. Apply and develop quantitative research methods (e.g., experimental study design, statistical analysis) and technical AI methods (e.g., prompt engineering, agent architecture design, evaluation method development) both independently and in collaboration with partners. Contribute to the technical writing of study protocols, donor reports, peer-reviewed publications, and the publicly accessible AI4Science Playbook. Support the development and maintenance of collaborations with academic, industry, and Global South research partners. Project Support & Coordination Support the Deputy Director in ensuring the timely delivery of project outputs, including compliance with PATH and donor research ethics and data protection standards. Contribute to donor reporting and, as needed, serve as a technical point of contact for partners on specific project workstreams. Collaborate with colleagues across the AI initiative (including the Health and Regulatory Policy teams) and the wider organisation to advance cross-cutting objectives. Learning & Professional Development Stay current with the rapidly evolving AI-for-science landscape and proactively share insights with the team. Contribute to PATH's thought leadership in AI and global health, including through conference presentations, blog posts, and other external engagement. As the team grows, provide informal mentorship and technical guidance to more junior colleagues or interns. Required Skills & Experience PhD (or equivalent research experience) in a relevant subject, such as computational biology, bioinformatics, machine learning, immunology, chemistry, or a related biomedical or quantitative discipline. Demonstrable coding skills (Python preferred) sufficient to comfortably carry out independent AI research and prototyping, including experience working with large language models, AI/ML pipelines, or agentic workflows. Familiarity with, or strong interest in, one or more of the following: AI benchmarking and evaluation, natural language processing, agentic AI architectures. Experience in molecular design, drug discovery, and/or infectious disease biology is a significant plus. At least one peer-reviewed publication (or equivalent evidence of research output). A Passion for Applied Research You are motivated by research that has a real-world impact. You're excited by the idea of your work contributing to new treatments, better diagnostics, or more effective vector control - not just another paper. Rigour and Resourcefulness You can design sound experiments, handle messy data, and troubleshoot when things don't work as expected. You're comfortable working across disciplines and picking up new methods quickly. Strong Communication Skills You can explain complex technical work clearly to non-specialist audiences, write well, and collaborate effectively with researchers from diverse backgrounds and geographies. Comfort with Uncertainty The AI-for-science field is evolving fast, and this programme is deliberately exploratory. You thrive in environments where the path forward isn't always clear and you're energised (rather than daunted) by that. A Collaborative Mindset You work well as part of a small, agile team embedded in a large organisation. You're willing to support colleagues, share credit, and contribute to a positive team culture. To be selected, you must have legal authorization to work in the UK.
Feb 28, 2026
Full time
AI Fellow (AI4Science), AI Initiative, Global Health Programs page is loaded AI Fellow (AI4Science), AI Initiative, Global Health Programslocations: United Kingdom, London Project Officetime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: March 9, 2026 (12 days left to apply)job requisition id: JR2427PATH current employees - please log in and applyPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world's most pressing heath challenges. PATH's AI Initiative is pioneering the use of generative AI and other advanced digital technologies to accelerate biomedical discovery, strengthen regulatory systems, and enhance the safety and scalability of digital healthcare.The Research Fellow will be a key member of the AI4Science team, working under the supervision of the Deputy Director (AI4Science) and the Chief AI Officer to deliver research across the team's portfolio. You will have a particular focus on a flagship programme funded by FCDO that aims to accelerate global health research through AI Co-Scientist tools. This programme includes developing a benchmarking framework for evaluating AI Co-Scientist tools, running real-world demonstration projects in areas such as mental health therapeutics, antimicrobial resistance, and malaria vector control, and establishing a secretariat to support partners in adopting AI-for-science workflows.This is a hands-on role ideal for an applied researcher (post-PhD or equivalent) who enjoys experimentation, interdisciplinary collaboration, and translating emerging AI capabilities into real scientific workflows. You will own specific workstreams within the AI4Science portfolio, from experimental design through execution and publication, while collaborating closely with senior technical leadership and external partners. You will develop and test AI-assisted scientific workflows, and contribute to the growing evidence base for how AI can accelerate biomedical discovery. You will also contribute to the wider AI4Science portfolio, including work on vaccine development and other projects as they arise. This role does not necessarily require developing new foundation models, but does require strong fluency in applying, evaluating, and orchestrating modern AI systems (including LLMs and agentic workflows) specifically for scientific research.If you're a researcher who wants to work at the cutting edge of AI and biomedical science, with the opportunity to see your work translate into real-world impact for underserved communities, this could be the role for you. Responsabilities : Contribute to and, where appropriate, lead research activities across multiple projects within the AI4Science portfolio, including: Designing, building, and iterating benchmark evaluations for AI Co-Scientist tools, covering tasks such as knowledge retrieval, reasoning, robustness, rediscovery, and adversarial testing. Supporting the delivery of real-world demonstration projects (e.g., mental health therapeutics, AMR susceptibility testing, malaria vector control), including facilitating expert workshops, running AI-assisted hypothesis generation exercises, and coordinating small-scale lab validation studies with partners. Contributing to a landscape mapping exercise to catalogue and functionally test available AI Co-Scientist tools. Practical coordination support to help FCDO partners articulate research questions, select appropriate AI tools, and execute guided research sprints. Contributing to other AI4Science projects, such as work on identifying novel correlates of protection to accelerate vaccine development using agentic AI workflows. Apply and develop quantitative research methods (e.g., experimental study design, statistical analysis) and technical AI methods (e.g., prompt engineering, agent architecture design, evaluation method development) both independently and in collaboration with partners. Contribute to the technical writing of study protocols, donor reports, peer-reviewed publications, and the publicly accessible AI4Science Playbook. Support the development and maintenance of collaborations with academic, industry, and Global South research partners. Project Support & Coordination Support the Deputy Director in ensuring the timely delivery of project outputs, including compliance with PATH and donor research ethics and data protection standards. Contribute to donor reporting and, as needed, serve as a technical point of contact for partners on specific project workstreams. Collaborate with colleagues across the AI initiative (including the Health and Regulatory Policy teams) and the wider organisation to advance cross-cutting objectives. Learning & Professional Development Stay current with the rapidly evolving AI-for-science landscape and proactively share insights with the team. Contribute to PATH's thought leadership in AI and global health, including through conference presentations, blog posts, and other external engagement. As the team grows, provide informal mentorship and technical guidance to more junior colleagues or interns. Required Skills & Experience PhD (or equivalent research experience) in a relevant subject, such as computational biology, bioinformatics, machine learning, immunology, chemistry, or a related biomedical or quantitative discipline. Demonstrable coding skills (Python preferred) sufficient to comfortably carry out independent AI research and prototyping, including experience working with large language models, AI/ML pipelines, or agentic workflows. Familiarity with, or strong interest in, one or more of the following: AI benchmarking and evaluation, natural language processing, agentic AI architectures. Experience in molecular design, drug discovery, and/or infectious disease biology is a significant plus. At least one peer-reviewed publication (or equivalent evidence of research output). A Passion for Applied Research You are motivated by research that has a real-world impact. You're excited by the idea of your work contributing to new treatments, better diagnostics, or more effective vector control - not just another paper. Rigour and Resourcefulness You can design sound experiments, handle messy data, and troubleshoot when things don't work as expected. You're comfortable working across disciplines and picking up new methods quickly. Strong Communication Skills You can explain complex technical work clearly to non-specialist audiences, write well, and collaborate effectively with researchers from diverse backgrounds and geographies. Comfort with Uncertainty The AI-for-science field is evolving fast, and this programme is deliberately exploratory. You thrive in environments where the path forward isn't always clear and you're energised (rather than daunted) by that. A Collaborative Mindset You work well as part of a small, agile team embedded in a large organisation. You're willing to support colleagues, share credit, and contribute to a positive team culture. To be selected, you must have legal authorization to work in the UK.
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Feb 28, 2026
Full time
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
What we do: At Goldman Sachs, our Engineers don't just make things - we make things possible. We strive to change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Fixed Income, Currencies and Commodities trading is a key revenue generating division for Goldman Sachs and Interest Rate Products form a large part of that business. The Interest Rate Products (IRP) Trading & Sales desk assists Goldman Sachs' clients in managing their exposure to interest rate risk by offering a range of financial instruments. This is a critical function for our clients and the firm, and the products offered range from simple government bonds and vanilla Interest Rate Swaps to more exotic structured interest rate derivatives. Engineering is comprised of our Technology Division and Global Strategists groups. It is at the center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Who we look for: Goldman Sachs Engineers are innovators and problem-solvers, building solutions in order management, big data, pricing and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. As an Interest Rate Product Engineer, you will play a key role in developing software solutions that will help institutional clients buy and sell interest rate related financial instruments on liquidity venues around the world. In addition, you will also be challenged with designing and implementing innovative software solutions that will enable IRP Trading and Sales efficiently their manage their risk, positions and PNL. We look for individuals who are able to embrace AI to help design, build as well as incorporate AI into trading workflows. You will be expected to work closely with a number of internal clients including trading, sales, strategists and operations and will be involved in every stage of the software development life-cycle. Given the global nature of the business, you will often work with counterparts in other regional offices on projects and learn about different local markets and different financial products as well. Basic Qualifications: STEM degree Strong hands on programming experience, in at least one object oriented language (Java / Python) Proficient in AI assisted development Knowledge of data structures, algorithms, and designing for performance Solid communication and interpersonal skills are a must given that the role will involve interacting with traders & salespeople Preferred Qualifications: Experience in Java or Python (5 years +) Experience in messaging middleware like Kafka, RabbitMQ Experience in developing and testing distributed systems DAILY ACTIVITIES: Interact with users to understand business flows and define requirements. Implement new software and enhancements to existing systems. Contribute to Quality Control (Code/Design reviews). Provide L3 application support. Provide technical support to trading, sales and operations. Review incidents and identify root causes and follow ups. ABOUT GOLDMAN SACHS: At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law
Feb 28, 2026
Full time
What we do: At Goldman Sachs, our Engineers don't just make things - we make things possible. We strive to change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Fixed Income, Currencies and Commodities trading is a key revenue generating division for Goldman Sachs and Interest Rate Products form a large part of that business. The Interest Rate Products (IRP) Trading & Sales desk assists Goldman Sachs' clients in managing their exposure to interest rate risk by offering a range of financial instruments. This is a critical function for our clients and the firm, and the products offered range from simple government bonds and vanilla Interest Rate Swaps to more exotic structured interest rate derivatives. Engineering is comprised of our Technology Division and Global Strategists groups. It is at the center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Who we look for: Goldman Sachs Engineers are innovators and problem-solvers, building solutions in order management, big data, pricing and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. As an Interest Rate Product Engineer, you will play a key role in developing software solutions that will help institutional clients buy and sell interest rate related financial instruments on liquidity venues around the world. In addition, you will also be challenged with designing and implementing innovative software solutions that will enable IRP Trading and Sales efficiently their manage their risk, positions and PNL. We look for individuals who are able to embrace AI to help design, build as well as incorporate AI into trading workflows. You will be expected to work closely with a number of internal clients including trading, sales, strategists and operations and will be involved in every stage of the software development life-cycle. Given the global nature of the business, you will often work with counterparts in other regional offices on projects and learn about different local markets and different financial products as well. Basic Qualifications: STEM degree Strong hands on programming experience, in at least one object oriented language (Java / Python) Proficient in AI assisted development Knowledge of data structures, algorithms, and designing for performance Solid communication and interpersonal skills are a must given that the role will involve interacting with traders & salespeople Preferred Qualifications: Experience in Java or Python (5 years +) Experience in messaging middleware like Kafka, RabbitMQ Experience in developing and testing distributed systems DAILY ACTIVITIES: Interact with users to understand business flows and define requirements. Implement new software and enhancements to existing systems. Contribute to Quality Control (Code/Design reviews). Provide L3 application support. Provide technical support to trading, sales and operations. Review incidents and identify root causes and follow ups. ABOUT GOLDMAN SACHS: At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law
What We Do Conduct is building the AI operating system for Enterprise IT, starting with the deepest cost center and innovation bottleneck in global business: the day-to-day operation, maintenance, and change management of mission-critical enterprise systems. Across the world's largest companies, thousands of internal analysts and developers, plus fleets of external consultants, spend their days manually understanding custom code, resolving incidents, analyzing processes, and preparing system change requests. For many enterprises, this translates into hundreds of millions of dollars per year just to keep core systems running-slowing down innovation at the very center of the business. Conduct changes this fundamentally. We're the first system that actually understands enterprise applications bottom-up: from the single code line, to logic, to entire system interdependencies and can reason about them the way the best human experts do, but at machine scale. We're starting with SAP, the backbone of over 90% of global commerce. Customers such as Daimler Truck, Rittal, and Heidelberg Materials already use Conduct to automate system analysis, resolve issues in minutes, cut millions in IT spend, and accelerate ERP transformations by months. But SAP is only the starting point. We're building toward a future where enterprise systems are self-aware, self-healing, and continuously optimizing across the software stack. We turn Enterprise IT from a bottleneck to a driver of innovation velocity. We are a high-talent-density team of 20, founded by former Palantir engineering and product leaders and built around a simple principle: we hire only the most ambitious, driven, and dedicated people who want to build category-defining technology in a culture of intensity, ownership, and pace. If you want to shape the new era of Enterprise System Intelligence, Conduct is where you can do the most important work of your career. Role Responsibilities As Conduct's Head of Talent, you won't just run hiring, you'll shape the team, culture, and systems that will help us scale at pace. You'll inherit an early-stage hiring engine and elevate it into a disciplined, high-velocity, globally competitive talent function . You will own the full talent lifecycle across strategising, planning, sourcing, assessing, and onboarding. Working directly with the Co-Founders, you will: Build the Talent Engine and Process: Own and evolve our early stage hiring into a talent first, candidate led engine that consistently attracts the right people and converts them quickly, without compromising on quality Build and nurture pipelines of high quality candidates in the UK and internationally. Drive operational excellence through improved scorecards, interview training, calibration, and funnel discipline. Hire Exceptionally Across Functions: Source, assess, and close world class engineering, product, GTM, and generalist talent. Understand the profiles, competencies, and behaviours required to succeed in an enterprise focused startup. Build pipelines of high-quality active and passive candidates, from the UK and beyond, and maintain relationships long before roles open. Lead relationships with recruitment agencies, including identifying great partners for specific searches. Employer Brand: Build a globally competitive employer brand that positions Conduct as the place ambitious talent wants to work. Own creative communications and marketing initiatives, including events and experiences, to develop and deepen the view of Conduct as a centre of excellence for candidates. Drive our employer presence in UK, Europe, and US talent ecosystems. Ensure every candidate, including those we do not hire, has an exceptional experience of Conduct's recruitment process. Nice to haves: Experience with shaping compensation and benefits and setting clear performance expectations. Help design and run onboarding processes that make new joiners productive quickly and aligned with how we operate. Candidate Profile We're looking for someone truly standout, who's repeatedly hired top tier people and knows how to move quickly in fast moving startups. You likely have: Extensive experience hiring engineering, product, GTM, and operational talent in high growth environments, likely both in agencies and in house. Experience working in a startup or high growth tech company, with a strong understanding of the talent needed to succeed in enterprise SaaS. Ability to identify and test specific expertise across functions: e.g., technical depth for engineering and sales skill for GTM. A track record of scaling hiring with quality and speed. Strong sourcing capabilities, particularly for passive candidates across multiple functions. Experience shaping a globally competitive employer brand that resonates with ambitious builders and operators. Outstanding written and verbal communication: crisp, structured, and persuasive. A reputation for raising the bar culturally and operationally. High personal velocity: autonomous, decisive, and outcome oriented. What "Good" Looks Like in this role You consistently elevate hire quality and recruitment standards. You cement our hiring engine as a globally competitive system trusted by candidates. You enforce quality through structured interviewing and clear unbiased decision making. You are flexible to the needs and requirements of an early stage start up and know when it's right (and when it's wrong) to bend process. You build a talent brand that stands out globally to high performing enterprise operators. You become a valued advisor on compensation, performance and people systems. You strengthen Conduct's culture through clarity, expectations, and high standards. You operate with pace, independence, and strong judgment. This Role Isn't For You If You only have experience hiring for one type of role in startup environments. You will find it difficult to commit to 5 days a week in office You rely on inbound applications or agencies instead of proactive sourcing. You only thrive with highly structured, mature processes in place. You avoid ambiguity, pace, or high ownership environments. You want to be told what to do - this role leads, not follows. Working at Conduct We're a high energy, high trust team with big ambitions. Our culture blends focus, intensity, and humour: we're serious about impact, but never take ourselves too seriously. We're here to build a generational company, and we know that means pushing past limits whilst enjoying the ride together. In our Fitzrovia office, collaboration is fast and constant. Everyone owns their outcomes and takes initiative, but we succeed only as a team. We believe in learning fast, supporting each other radically, and finding joy in the process. We know that building a company is a journey that we are all on together - whether you're a Co Founder, an early hire, or a future colleague - and we are intentional about growing together as a team and as individuals. We therefore work with Diana Chapman, one of the world's most renowned leadership coaches, to bring the principles of her Conscious Leadership movement into how we work as an organization through company wide executive coaching. Benefits We want Conduct to offer the best possible environment for everyone on the team to do their life's work. Our benefits are designed with that in mind: we recognize that exceptional performance is a holistic endeavour so we support everyone in becoming the most successful, fulfilled, and healthy version of themselves. Generous cash compensation. Share options under the tax efficient EMI scheme. Broad private health insurance including dental and optical cover. ️ Monthly wellbeing payment on top of your salary to spend as you see fit. Breakfast and dinner every day in the office. A truly unparalleled snack selection. Biannual full team offsites. Regular socials. Coaching from Diana Chapman. ️ Take what you need leave policy. Pension salary sacrifice reinvestment scheme. We welcome applications from candidates who require visa sponsorship. Conduct is an equal opportunities employer. Diversity is a non negotiable asset to our company and our team. We believe that a variety of backgrounds, perspectives, and experiences makes us stronger and helps us build better together. We particularly encourage applications from groups that are under represented in technology and engineering, as we know that diverse teams create the best solutions.
Feb 28, 2026
Full time
What We Do Conduct is building the AI operating system for Enterprise IT, starting with the deepest cost center and innovation bottleneck in global business: the day-to-day operation, maintenance, and change management of mission-critical enterprise systems. Across the world's largest companies, thousands of internal analysts and developers, plus fleets of external consultants, spend their days manually understanding custom code, resolving incidents, analyzing processes, and preparing system change requests. For many enterprises, this translates into hundreds of millions of dollars per year just to keep core systems running-slowing down innovation at the very center of the business. Conduct changes this fundamentally. We're the first system that actually understands enterprise applications bottom-up: from the single code line, to logic, to entire system interdependencies and can reason about them the way the best human experts do, but at machine scale. We're starting with SAP, the backbone of over 90% of global commerce. Customers such as Daimler Truck, Rittal, and Heidelberg Materials already use Conduct to automate system analysis, resolve issues in minutes, cut millions in IT spend, and accelerate ERP transformations by months. But SAP is only the starting point. We're building toward a future where enterprise systems are self-aware, self-healing, and continuously optimizing across the software stack. We turn Enterprise IT from a bottleneck to a driver of innovation velocity. We are a high-talent-density team of 20, founded by former Palantir engineering and product leaders and built around a simple principle: we hire only the most ambitious, driven, and dedicated people who want to build category-defining technology in a culture of intensity, ownership, and pace. If you want to shape the new era of Enterprise System Intelligence, Conduct is where you can do the most important work of your career. Role Responsibilities As Conduct's Head of Talent, you won't just run hiring, you'll shape the team, culture, and systems that will help us scale at pace. You'll inherit an early-stage hiring engine and elevate it into a disciplined, high-velocity, globally competitive talent function . You will own the full talent lifecycle across strategising, planning, sourcing, assessing, and onboarding. Working directly with the Co-Founders, you will: Build the Talent Engine and Process: Own and evolve our early stage hiring into a talent first, candidate led engine that consistently attracts the right people and converts them quickly, without compromising on quality Build and nurture pipelines of high quality candidates in the UK and internationally. Drive operational excellence through improved scorecards, interview training, calibration, and funnel discipline. Hire Exceptionally Across Functions: Source, assess, and close world class engineering, product, GTM, and generalist talent. Understand the profiles, competencies, and behaviours required to succeed in an enterprise focused startup. Build pipelines of high-quality active and passive candidates, from the UK and beyond, and maintain relationships long before roles open. Lead relationships with recruitment agencies, including identifying great partners for specific searches. Employer Brand: Build a globally competitive employer brand that positions Conduct as the place ambitious talent wants to work. Own creative communications and marketing initiatives, including events and experiences, to develop and deepen the view of Conduct as a centre of excellence for candidates. Drive our employer presence in UK, Europe, and US talent ecosystems. Ensure every candidate, including those we do not hire, has an exceptional experience of Conduct's recruitment process. Nice to haves: Experience with shaping compensation and benefits and setting clear performance expectations. Help design and run onboarding processes that make new joiners productive quickly and aligned with how we operate. Candidate Profile We're looking for someone truly standout, who's repeatedly hired top tier people and knows how to move quickly in fast moving startups. You likely have: Extensive experience hiring engineering, product, GTM, and operational talent in high growth environments, likely both in agencies and in house. Experience working in a startup or high growth tech company, with a strong understanding of the talent needed to succeed in enterprise SaaS. Ability to identify and test specific expertise across functions: e.g., technical depth for engineering and sales skill for GTM. A track record of scaling hiring with quality and speed. Strong sourcing capabilities, particularly for passive candidates across multiple functions. Experience shaping a globally competitive employer brand that resonates with ambitious builders and operators. Outstanding written and verbal communication: crisp, structured, and persuasive. A reputation for raising the bar culturally and operationally. High personal velocity: autonomous, decisive, and outcome oriented. What "Good" Looks Like in this role You consistently elevate hire quality and recruitment standards. You cement our hiring engine as a globally competitive system trusted by candidates. You enforce quality through structured interviewing and clear unbiased decision making. You are flexible to the needs and requirements of an early stage start up and know when it's right (and when it's wrong) to bend process. You build a talent brand that stands out globally to high performing enterprise operators. You become a valued advisor on compensation, performance and people systems. You strengthen Conduct's culture through clarity, expectations, and high standards. You operate with pace, independence, and strong judgment. This Role Isn't For You If You only have experience hiring for one type of role in startup environments. You will find it difficult to commit to 5 days a week in office You rely on inbound applications or agencies instead of proactive sourcing. You only thrive with highly structured, mature processes in place. You avoid ambiguity, pace, or high ownership environments. You want to be told what to do - this role leads, not follows. Working at Conduct We're a high energy, high trust team with big ambitions. Our culture blends focus, intensity, and humour: we're serious about impact, but never take ourselves too seriously. We're here to build a generational company, and we know that means pushing past limits whilst enjoying the ride together. In our Fitzrovia office, collaboration is fast and constant. Everyone owns their outcomes and takes initiative, but we succeed only as a team. We believe in learning fast, supporting each other radically, and finding joy in the process. We know that building a company is a journey that we are all on together - whether you're a Co Founder, an early hire, or a future colleague - and we are intentional about growing together as a team and as individuals. We therefore work with Diana Chapman, one of the world's most renowned leadership coaches, to bring the principles of her Conscious Leadership movement into how we work as an organization through company wide executive coaching. Benefits We want Conduct to offer the best possible environment for everyone on the team to do their life's work. Our benefits are designed with that in mind: we recognize that exceptional performance is a holistic endeavour so we support everyone in becoming the most successful, fulfilled, and healthy version of themselves. Generous cash compensation. Share options under the tax efficient EMI scheme. Broad private health insurance including dental and optical cover. ️ Monthly wellbeing payment on top of your salary to spend as you see fit. Breakfast and dinner every day in the office. A truly unparalleled snack selection. Biannual full team offsites. Regular socials. Coaching from Diana Chapman. ️ Take what you need leave policy. Pension salary sacrifice reinvestment scheme. We welcome applications from candidates who require visa sponsorship. Conduct is an equal opportunities employer. Diversity is a non negotiable asset to our company and our team. We believe that a variety of backgrounds, perspectives, and experiences makes us stronger and helps us build better together. We particularly encourage applications from groups that are under represented in technology and engineering, as we know that diverse teams create the best solutions.
The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university. The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. Key responsibilities include: Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions. Deliver high-quality online teaching focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation). Applied machine learning and deep learning implementation. Practical use of AI frameworks, libraries, and development tools. Building, testing, and deploying AI-enabled applications. Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice. Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds. Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities. Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities. Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation. Working Pattern This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. This is a full-time appointment, and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: The successful candidate will demonstrate: Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity. Desirable criteria: Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29th March 2026.
Feb 28, 2026
Full time
The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university. The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. Key responsibilities include: Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions. Deliver high-quality online teaching focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation). Applied machine learning and deep learning implementation. Practical use of AI frameworks, libraries, and development tools. Building, testing, and deploying AI-enabled applications. Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice. Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds. Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities. Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities. Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation. Working Pattern This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. This is a full-time appointment, and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: The successful candidate will demonstrate: Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity. Desirable criteria: Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29th March 2026.
About the Company Our client is an independent British business dedicated to producing high-quality yogurts, desserts, and ice cream for both their own brand and major UK retailers. Operating from multiple dairies and logistics centers across Somerset and Devon, they employ over 1,700 staff and contribute to more than 25% of the UK s packaged yogurt market. The Role We are recruiting for a Skilled Engineer to join our client s largest production facility. In this role, you will ensure that all site equipment operates efficiently and effectively. You will take a lead role in managing situations that could impact business operations, safety, environmental standards, or asset performance. You will be responsible for maintaining high standards of food safety and quality by implementing suitable controls and Good Manufacturing Practice (GMP) during maintenance activities. You will also use your problem-solving skills to detect and eliminate faults, inefficiencies, and abnormalities in machine operations. Additionally, you will play a key role in developing and enhancing equipment performance and reliability while sharing your expertise with colleagues. Key Responsibilities: Deliver high standards of asset care through best practices and technical expertise. Drive continuous improvement initiatives to enhance operational performance. Manage site assets using the CMMS system, ensuring effective planning of maintenance activities. Promote and enforce safe working practices for staff, contractors, and visitors. Requirements: Experience working as a Maintenance Engineer. An appropriate engineering qualification. Understanding of Health & Safety regulations. Previous experience in food manufacturing or FMCG production is desirable but not essential. Preferably multi-skilled in mechanical and electrical disciplines. PLC experience would be an advantage. Package & Benefits: Salary: £47,187 (potential to increase to over £53,800 for multi-skilled engineers). Bonus: £250 annual discretionary bonus. Holidays: 22 days holiday + competitive holiday allowance. Pension: 7% pension plan (non-contributory). Additional Benefits: Life cover. Healthcare cash-back plan. Cycle-to-work scheme. Subsidised products and services. Preferential rates with company partners. Opportunity to become a company shareholder. Learning and development opportunities to support career growth. Shifts: Four on, four off (2 days, 2 nights, 4 off). 12-hour shifts. This is an exciting opportunity to join a well-established company with excellent benefits and career progression. If you are interested in this role, apply today!
Feb 28, 2026
Full time
About the Company Our client is an independent British business dedicated to producing high-quality yogurts, desserts, and ice cream for both their own brand and major UK retailers. Operating from multiple dairies and logistics centers across Somerset and Devon, they employ over 1,700 staff and contribute to more than 25% of the UK s packaged yogurt market. The Role We are recruiting for a Skilled Engineer to join our client s largest production facility. In this role, you will ensure that all site equipment operates efficiently and effectively. You will take a lead role in managing situations that could impact business operations, safety, environmental standards, or asset performance. You will be responsible for maintaining high standards of food safety and quality by implementing suitable controls and Good Manufacturing Practice (GMP) during maintenance activities. You will also use your problem-solving skills to detect and eliminate faults, inefficiencies, and abnormalities in machine operations. Additionally, you will play a key role in developing and enhancing equipment performance and reliability while sharing your expertise with colleagues. Key Responsibilities: Deliver high standards of asset care through best practices and technical expertise. Drive continuous improvement initiatives to enhance operational performance. Manage site assets using the CMMS system, ensuring effective planning of maintenance activities. Promote and enforce safe working practices for staff, contractors, and visitors. Requirements: Experience working as a Maintenance Engineer. An appropriate engineering qualification. Understanding of Health & Safety regulations. Previous experience in food manufacturing or FMCG production is desirable but not essential. Preferably multi-skilled in mechanical and electrical disciplines. PLC experience would be an advantage. Package & Benefits: Salary: £47,187 (potential to increase to over £53,800 for multi-skilled engineers). Bonus: £250 annual discretionary bonus. Holidays: 22 days holiday + competitive holiday allowance. Pension: 7% pension plan (non-contributory). Additional Benefits: Life cover. Healthcare cash-back plan. Cycle-to-work scheme. Subsidised products and services. Preferential rates with company partners. Opportunity to become a company shareholder. Learning and development opportunities to support career growth. Shifts: Four on, four off (2 days, 2 nights, 4 off). 12-hour shifts. This is an exciting opportunity to join a well-established company with excellent benefits and career progression. If you are interested in this role, apply today!
Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join , where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers. We are looking for a consultative technical expert who can own the pre sales lifecycle-from qualifying complex use cases and managing high stakes software trials to demonstrating exactly how Matillion's platform solves mission critical data challenges. You won't just be "demoing" software; you'll be driving measurable business value and fostering the long term relationships that underpin our growth. Sales & Validation Cycle Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes. Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution's fit while positioning competitive advantages. Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned. Post Sales Onboarding & Growth Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win." Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively. Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI Strategy, Product, & Brand Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real world problem solving. Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment. Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge. Must haves: 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n) Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands on experience with technical problem solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non technical stakeholders. Good to haves: Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role's estimated annual salaried pay range for this position is £71,680 - £107,520. Because this role is eligible for variable pay in the form of sales commissions, your total annual on target annual earnings will be between £102,400 - £153,600. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance - Working with integrity - Customer obsessed - Innovate and demand quality - Bias for action - We care We operate a flexible working culture that promotes work life balance, with benefits including: - Company Equity - 30 days holiday + bank holidays - 5 days paid volunteering leave - Health insurance - Life Insurance - Access to mental health support - Pension More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email . Find out more about life on here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Feb 28, 2026
Full time
Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join , where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers. We are looking for a consultative technical expert who can own the pre sales lifecycle-from qualifying complex use cases and managing high stakes software trials to demonstrating exactly how Matillion's platform solves mission critical data challenges. You won't just be "demoing" software; you'll be driving measurable business value and fostering the long term relationships that underpin our growth. Sales & Validation Cycle Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes. Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution's fit while positioning competitive advantages. Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned. Post Sales Onboarding & Growth Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win." Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively. Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI Strategy, Product, & Brand Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real world problem solving. Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment. Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge. Must haves: 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n) Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands on experience with technical problem solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non technical stakeholders. Good to haves: Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role's estimated annual salaried pay range for this position is £71,680 - £107,520. Because this role is eligible for variable pay in the form of sales commissions, your total annual on target annual earnings will be between £102,400 - £153,600. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance - Working with integrity - Customer obsessed - Innovate and demand quality - Bias for action - We care We operate a flexible working culture that promotes work life balance, with benefits including: - Company Equity - 30 days holiday + bank holidays - 5 days paid volunteering leave - Health insurance - Life Insurance - Access to mental health support - Pension More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email . Find out more about life on here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self-serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value. As a Data Science Manager, you'll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You'll work closely with stakeholders across the organisation to understand their challenges and apply cutting-edge analytics to solve them. This is a hands on role with technical delivery at its core, combined with leadership and strategic direction. What you'll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and contribute to a 1-2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes Embed a lean, value first culture, minimising waste and driving improvements in efficiency and EBITDA Champion data literacy and promote best practice in analytical thinking across the business Translate business problems into analytical approaches, delivering insights that inform action Support the team with hands on technical tasks where required, including coding and modelling Collaborate with Data Engineering and other teams to ensure the right data is available and accessible About you What we're looking for: A strategic thinker with experience solving complex business problems through data Strong communication and storytelling skills. Able to bring data to life for non technical audiences An inclusive and motivating leader, with experience mentoring others and creating high performing teams Comfortable working in both Agile and Waterfall environments Inquisitive mindset - always looking to challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred About us In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family member Annual bonus scheme Career progression and development opportunities Generous holiday entitlement Market leading pension scheme and life assurance Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers Free parking onsite Enhanced Family, Maternity and Paternity Leave Private Healthcare Car Allowance (company car provided in some instances) Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you'll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking! At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success. We'd love to meet you! At Morrisons, we're proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that's good for our customers too. We're always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
Feb 28, 2026
Full time
At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self-serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value. As a Data Science Manager, you'll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You'll work closely with stakeholders across the organisation to understand their challenges and apply cutting-edge analytics to solve them. This is a hands on role with technical delivery at its core, combined with leadership and strategic direction. What you'll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and contribute to a 1-2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes Embed a lean, value first culture, minimising waste and driving improvements in efficiency and EBITDA Champion data literacy and promote best practice in analytical thinking across the business Translate business problems into analytical approaches, delivering insights that inform action Support the team with hands on technical tasks where required, including coding and modelling Collaborate with Data Engineering and other teams to ensure the right data is available and accessible About you What we're looking for: A strategic thinker with experience solving complex business problems through data Strong communication and storytelling skills. Able to bring data to life for non technical audiences An inclusive and motivating leader, with experience mentoring others and creating high performing teams Comfortable working in both Agile and Waterfall environments Inquisitive mindset - always looking to challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred About us In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family member Annual bonus scheme Career progression and development opportunities Generous holiday entitlement Market leading pension scheme and life assurance Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers Free parking onsite Enhanced Family, Maternity and Paternity Leave Private Healthcare Car Allowance (company car provided in some instances) Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you'll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking! At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success. We'd love to meet you! At Morrisons, we're proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that's good for our customers too. We're always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human centric AI. You can read about our real world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the role As Director, AI Engineering you'll be our most senior technical authority on the AI solutions we propose and deliver across our rapidly growing Financial Services Business unit. This is a pivotal role, requiring you to balance deep AI and machine learning expertise with commercial and strategic leadership. We'll look to you to define a differentiated technical vision for clients across banking, insurance, and asset management, while directly mentoring our world class team of data scientists and engineers. What you'll be doing: Leading the development and delivery of advanced AI solutions, ensuring technical excellence across the entire business unit Providing hands on technical guidance and expertise for complex, high priority client projects Advising on solution architecture, advanced machine learning modelling, and engineering best practices. Defining and championing the technical strategy and vision for our financial and professional services clients Leading recruiting, structuring, and professional development for technical staff within the business unit. Acting as the senior technical authority in key client meetings to secure and expand market opportunities Creating and sharing impactful technical thought leadership through conferences, articles, and other media Who we're looking for: You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector You have experience leading full stack technology teams, backed by a solid grasp of systems architecture and engineering fundamentals. You possess deep knowledge of the financial services landscape, including commercial drivers and how AI can accelerate business outcomes for banks and insurers You are an excellent communicator, able to clearly explain complex technical information and strategy to both internal teams and C suite clients. You have an interest, and proven ability to mentor and develop high performing data scientists and machine learning engineers Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.
Feb 28, 2026
Full time
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human centric AI. You can read about our real world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the role As Director, AI Engineering you'll be our most senior technical authority on the AI solutions we propose and deliver across our rapidly growing Financial Services Business unit. This is a pivotal role, requiring you to balance deep AI and machine learning expertise with commercial and strategic leadership. We'll look to you to define a differentiated technical vision for clients across banking, insurance, and asset management, while directly mentoring our world class team of data scientists and engineers. What you'll be doing: Leading the development and delivery of advanced AI solutions, ensuring technical excellence across the entire business unit Providing hands on technical guidance and expertise for complex, high priority client projects Advising on solution architecture, advanced machine learning modelling, and engineering best practices. Defining and championing the technical strategy and vision for our financial and professional services clients Leading recruiting, structuring, and professional development for technical staff within the business unit. Acting as the senior technical authority in key client meetings to secure and expand market opportunities Creating and sharing impactful technical thought leadership through conferences, articles, and other media Who we're looking for: You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector You have experience leading full stack technology teams, backed by a solid grasp of systems architecture and engineering fundamentals. You possess deep knowledge of the financial services landscape, including commercial drivers and how AI can accelerate business outcomes for banks and insurers You are an excellent communicator, able to clearly explain complex technical information and strategy to both internal teams and C suite clients. You have an interest, and proven ability to mentor and develop high performing data scientists and machine learning engineers Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.
Lead Data Engineer/Head of Data Permanent On behalf of a fantstic cleint we are resourcing for the following role This is a senior, hands-on technical leadership role reporting directly to the CTO. You'll shape and deliver a modern data and AI platform, lead a small team of data and analytics engineers, and embed machine learning, AI agents, and advanced analytics into real customer workflows. The Role You'll own the end-to-end data and AI capability - from platform architecture through to production ML systems - ensuring data and AI are applied thoughtfully, responsibly, and with clear business impact. What You'll Do Design and evolve a secure, scalable data & AI platform with Snowflake at its core Build production-grade data pipelines, models, and data products for analytics and AI use cases Design, train, and deploy ML models, embeddings, and vector stores to enable AI-driven experiences Lead and mentor a small, high-impact team of data and analytics engineers Partner closely with Product, Engineering, and Infrastructure teams Set standards for data quality, governance, security, and performance Act as a trusted technical advisor to the CTO and senior leadership What We're Looking For Essential Expert-level Snowflake experience (modelling, optimisation, advanced features) Strong Python skills across data engineering, ML, and AI development Proven experience delivering production ML systems Hands-on experience with embeddings, vector databases, and LLM-driven systems Deep understanding of modern data engineering practices (ELT, orchestration, versioning) Nice to Have Background in data science or applied ML Experience building AI agents or intelligent automation Familiarity with cloud-native architectures and MLOps
Feb 28, 2026
Full time
Lead Data Engineer/Head of Data Permanent On behalf of a fantstic cleint we are resourcing for the following role This is a senior, hands-on technical leadership role reporting directly to the CTO. You'll shape and deliver a modern data and AI platform, lead a small team of data and analytics engineers, and embed machine learning, AI agents, and advanced analytics into real customer workflows. The Role You'll own the end-to-end data and AI capability - from platform architecture through to production ML systems - ensuring data and AI are applied thoughtfully, responsibly, and with clear business impact. What You'll Do Design and evolve a secure, scalable data & AI platform with Snowflake at its core Build production-grade data pipelines, models, and data products for analytics and AI use cases Design, train, and deploy ML models, embeddings, and vector stores to enable AI-driven experiences Lead and mentor a small, high-impact team of data and analytics engineers Partner closely with Product, Engineering, and Infrastructure teams Set standards for data quality, governance, security, and performance Act as a trusted technical advisor to the CTO and senior leadership What We're Looking For Essential Expert-level Snowflake experience (modelling, optimisation, advanced features) Strong Python skills across data engineering, ML, and AI development Proven experience delivering production ML systems Hands-on experience with embeddings, vector databases, and LLM-driven systems Deep understanding of modern data engineering practices (ELT, orchestration, versioning) Nice to Have Background in data science or applied ML Experience building AI agents or intelligent automation Familiarity with cloud-native architectures and MLOps
Your work will change lives. Including your own. The Impact You'll Make Recursion is a leading TechBio company that is transforming drug discovery by using AI and automation to find new medicines. Its powerful platform combines different technologies to create one of the world's largest proprietary collections of biological and chemical data. By running millions of lab experiments each week and using one of the most powerful supercomputers in the world, Recursion brings together technology, biology, and chemistry to revolutionize medicine. We are looking for an experienced and motivated scientist to join our computational physics team, which is essential for designing molecules in our pipeline by supporting active drug discovery projects. This team also develops and implements cutting edge methods to keep our platform at the forefront of computational sciences. In this role, you will: Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success. Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems. Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation. Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community. The Team You'll Join You will become an essential member of the Computational Physics team, which supports several phases of drug discovery, from initial hypothesis to lead optimization. The team's goal is to build highly accurate and automated atomistic models and pipelines to obtain crucial molecular level insights for advancing drug candidates. We employ physics based and physics informed models, such as molecular dynamics simulations, absolute and relative binding free energy methods metadynamics, MM/PBSA, and quantum mechanical calculations, to enable cost effective and scalable structure based drug discovery. We work closely with design teams and collaborate with partners like the AI experts at the Frontier Hub, making our highly accurate methods more accessible and scalable for all. The Experience You'll Need PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area. Excellent programming skills in Python for tool development. Proven track record in the development of molecular simulation or computational chemistry tools. Basic knowledge of drug discovery processes and the application of molecular simulations in this field. Experience in deploying and orchestrating large scale jobs using compute clusters or cloud based infrastructures. Working Location & Compensation: This is an office based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £86,300 to £115,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Feb 28, 2026
Full time
Your work will change lives. Including your own. The Impact You'll Make Recursion is a leading TechBio company that is transforming drug discovery by using AI and automation to find new medicines. Its powerful platform combines different technologies to create one of the world's largest proprietary collections of biological and chemical data. By running millions of lab experiments each week and using one of the most powerful supercomputers in the world, Recursion brings together technology, biology, and chemistry to revolutionize medicine. We are looking for an experienced and motivated scientist to join our computational physics team, which is essential for designing molecules in our pipeline by supporting active drug discovery projects. This team also develops and implements cutting edge methods to keep our platform at the forefront of computational sciences. In this role, you will: Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success. Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems. Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation. Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community. The Team You'll Join You will become an essential member of the Computational Physics team, which supports several phases of drug discovery, from initial hypothesis to lead optimization. The team's goal is to build highly accurate and automated atomistic models and pipelines to obtain crucial molecular level insights for advancing drug candidates. We employ physics based and physics informed models, such as molecular dynamics simulations, absolute and relative binding free energy methods metadynamics, MM/PBSA, and quantum mechanical calculations, to enable cost effective and scalable structure based drug discovery. We work closely with design teams and collaborate with partners like the AI experts at the Frontier Hub, making our highly accurate methods more accessible and scalable for all. The Experience You'll Need PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area. Excellent programming skills in Python for tool development. Proven track record in the development of molecular simulation or computational chemistry tools. Basic knowledge of drug discovery processes and the application of molecular simulations in this field. Experience in deploying and orchestrating large scale jobs using compute clusters or cloud based infrastructures. Working Location & Compensation: This is an office based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £86,300 to £115,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
A leading AI research organization in London is seeking a Research Scientist with expertise in developing safeguards for open-source models. The successful candidate will focus on mitigating risks related to AI-generated harmful content, engaging with various stakeholders across government and industry. Ideal candidates will possess strong technical skills in machine learning, particularly with open-weight models. This position offers competitive compensation, unique opportunities for influence in AI governance, and the flexibility of hybrid working arrangements.
Feb 28, 2026
Full time
A leading AI research organization in London is seeking a Research Scientist with expertise in developing safeguards for open-source models. The successful candidate will focus on mitigating risks related to AI-generated harmful content, engaging with various stakeholders across government and industry. Ideal candidates will possess strong technical skills in machine learning, particularly with open-weight models. This position offers competitive compensation, unique opportunities for influence in AI governance, and the flexibility of hybrid working arrangements.
Director of Engineering You'll be the architect of our delivery engine. This isn't about sitting in the code all day; it's about shaping how engineering actually happens in an AI first world. You'll lead the systems, the people, and the workflows that allow us to ship world class software at a pace that leaves the competition behind. What you'll actually spend your time on Defining the AI enabled SDLC: Moving beyond simple "copilots" to integrate agentic workflows, automated reviews, and AI driven incident response into our daily DNA. Orchestrating the machine: Evolving our "Golden Paths," developer platforms, and CI/CD patterns so that "how work moves" from idea to production is a competitive advantage. Leading through leaders: Mentoring 3-5 Engineering Managers to build high accountability teams that ship frequently, with fewer surprises and higher quality. Setting the technical agenda: Making the high stakes calls on architecture, reliability, and security across a significant slice of our estate. Driving high intensity execution: Removing obstacles with pace and ensuring our ambitious roadmap becomes a reality through clarity and technical judgment. What you'll bring Deep technical credibility: You can hold your own with staff engineers on distributed systems, security risks, and performance bottlenecks. An AI forward mindset: You have a strong POV on how agentic patterns and human in the loop design transform engineering throughput. Systems thinking: You focus on the system of work, standardising where it helps and granting autonomy where it matters. Proven leadership at scale: You've successfully led multiple teams through managers and know how to build a strong leadership bench. A hunger for pace: You thrive in high intensity environments where expectations are high and the "typical" corporate speed isn't enough. Rewards Competitive salary + annual bonus or commission (role dependent) Employee Share Program Health, well being and learning support Gym membership, Smart Tech Scheme and Cycle Scheme Birthday/Special day leave Buy & sell holiday scheme 1 week's paid charity leave and much more! Interview process Screening call with one of our Talent Acquisition Partners 1st stage interview with Senior Leadership - Intro 2nd Stage interview with Senior Leadership - Deep technical dive 3rd Stage interview with Senior Leadership - Cultural fit If you require any reasonable adjustments during our interview process, please discuss them with your Talent Acquisition Partner. If this sounds like the place where you can do your best work, we'd love to hear from you, even if you don't tick every box. About us We're Checkatrade - the UK's leading platform for finding a tradesperson. With more than 50,000 trades listed and over 6 million reviews, we help homeowners get jobs done right and help tradespeople grow their business. We're growing fast, with big plans to become the go to brand for home improvements. If you care about great work, take pride in the details, and want to make an impact, you'll fit right in.
Feb 28, 2026
Full time
Director of Engineering You'll be the architect of our delivery engine. This isn't about sitting in the code all day; it's about shaping how engineering actually happens in an AI first world. You'll lead the systems, the people, and the workflows that allow us to ship world class software at a pace that leaves the competition behind. What you'll actually spend your time on Defining the AI enabled SDLC: Moving beyond simple "copilots" to integrate agentic workflows, automated reviews, and AI driven incident response into our daily DNA. Orchestrating the machine: Evolving our "Golden Paths," developer platforms, and CI/CD patterns so that "how work moves" from idea to production is a competitive advantage. Leading through leaders: Mentoring 3-5 Engineering Managers to build high accountability teams that ship frequently, with fewer surprises and higher quality. Setting the technical agenda: Making the high stakes calls on architecture, reliability, and security across a significant slice of our estate. Driving high intensity execution: Removing obstacles with pace and ensuring our ambitious roadmap becomes a reality through clarity and technical judgment. What you'll bring Deep technical credibility: You can hold your own with staff engineers on distributed systems, security risks, and performance bottlenecks. An AI forward mindset: You have a strong POV on how agentic patterns and human in the loop design transform engineering throughput. Systems thinking: You focus on the system of work, standardising where it helps and granting autonomy where it matters. Proven leadership at scale: You've successfully led multiple teams through managers and know how to build a strong leadership bench. A hunger for pace: You thrive in high intensity environments where expectations are high and the "typical" corporate speed isn't enough. Rewards Competitive salary + annual bonus or commission (role dependent) Employee Share Program Health, well being and learning support Gym membership, Smart Tech Scheme and Cycle Scheme Birthday/Special day leave Buy & sell holiday scheme 1 week's paid charity leave and much more! Interview process Screening call with one of our Talent Acquisition Partners 1st stage interview with Senior Leadership - Intro 2nd Stage interview with Senior Leadership - Deep technical dive 3rd Stage interview with Senior Leadership - Cultural fit If you require any reasonable adjustments during our interview process, please discuss them with your Talent Acquisition Partner. If this sounds like the place where you can do your best work, we'd love to hear from you, even if you don't tick every box. About us We're Checkatrade - the UK's leading platform for finding a tradesperson. With more than 50,000 trades listed and over 6 million reviews, we help homeowners get jobs done right and help tradespeople grow their business. We're growing fast, with big plans to become the go to brand for home improvements. If you care about great work, take pride in the details, and want to make an impact, you'll fit right in.
