Relation Therapeutics Limited
Research Engineer, London Relation Therapeutics overview Relation Therapeutics is a TechBio company pioneering recommender systems biology to bring forward new drugs for patients with diseases of high unmet need. Relation are combining single-cell profiling, human genetics, functional genomics, and end-to-end machine learning to better understand human biology. The company's ultimate goal is to transform how drug discovery & development is conducted, leading to new medicines for diseases where there is a tremendous need. Relation is using graph-based recommender system technologies to reveal causal relationships in diseases that until now have been impossible to understand using traditional technologies. Ultimately, Relation's platform will be capable of identifying which areas of biology to focus on and greatly accelerates discovery research efforts for diseases that have not previously been widely researched. At Relation we embrace diversity, equality and inclusion and we are committed to building diverse teams. We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. We strive to create an inclusive interdisciplinary workplace that cultivates innovation through collaboration, empowering and supporting everyone to do their best work and develop to their highest potential. Opportunity Join our leading-edge machine learning team as a Research Engineer, and play a pivotal role in pioneering machine learning solutions for genetic data interpretation. Our team is at the forefront of developing experimentally validated machine learning methodologies, transforming biobank-scale genetics data (from genotyping arrays to whole genome sequence) into actionable disease risk genes for drug discovery. Leveraging data from external biobanks like the UK Biobank (UKB) and our proprietary Osteomics clinical trial, we're unlocking new frontiers in genetics. The role sits at the heart of a multidisciplinary team that includes machine learning scientists, data scientists, bioinformaticians and biologists. Based at our wet / dry lab and headquarters in central London, you'll tackle the unique challenges presented by our large models and vast datasets. Your expertise will enhance our data loaders, streamline our training and inference regimes, and refine our software architecture, all within our hybrid on-prem and cloud infrastructure featuring dedicated DGX stations. As an established NVIDIA partner and collaborator, we offer access to cutting-edge resources, supporting your efforts to drive innovation and grow. Role Responsibilities Collaborate with an interdisciplinary team to address complex challenges in data engineering, ML engineering, and software engineering. Architect and enhance data processing and loading systems to support training and inference for large-language models up to billions of parameters Develop and maintain research and production code bases, enabling rapid experimentation and efficient analysis of experimental outcomes. Lead initiatives to scale our capabilities for distributed training and improve software architecture for high-velocity research. Professionally, you have A Bachelor's degree in Computer Science or a related quantitative field, with upwards of 4 years of relevant industry experience. Exceptional candidates with less experience but a strong technical foundation will also be considered. Proficiency in Python and Pytorch, with a solid understanding of data structures and computational complexity Demonstrable skills in at least two of the following areas: data engineering (e.g., handling billion-row data frames and databases), ml engineering (e.g., distributed training, optimization, compilation) software engineering (e.g., OOP, system design, CI/CD and testing) Comfort with industry-standard cloud infrastructures Knowledge of biology, genetics is an advantage but not essential Personally, you are: A great team player A clear communicator Driven by impact Humble and hungry to learn Motivated and curious Passionate about making a difference in patients' lives Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer.
Research Engineer, London Relation Therapeutics overview Relation Therapeutics is a TechBio company pioneering recommender systems biology to bring forward new drugs for patients with diseases of high unmet need. Relation are combining single-cell profiling, human genetics, functional genomics, and end-to-end machine learning to better understand human biology. The company's ultimate goal is to transform how drug discovery & development is conducted, leading to new medicines for diseases where there is a tremendous need. Relation is using graph-based recommender system technologies to reveal causal relationships in diseases that until now have been impossible to understand using traditional technologies. Ultimately, Relation's platform will be capable of identifying which areas of biology to focus on and greatly accelerates discovery research efforts for diseases that have not previously been widely researched. At Relation we embrace diversity, equality and inclusion and we are committed to building diverse teams. We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. We strive to create an inclusive interdisciplinary workplace that cultivates innovation through collaboration, empowering and supporting everyone to do their best work and develop to their highest potential. Opportunity Join our leading-edge machine learning team as a Research Engineer, and play a pivotal role in pioneering machine learning solutions for genetic data interpretation. Our team is at the forefront of developing experimentally validated machine learning methodologies, transforming biobank-scale genetics data (from genotyping arrays to whole genome sequence) into actionable disease risk genes for drug discovery. Leveraging data from external biobanks like the UK Biobank (UKB) and our proprietary Osteomics clinical trial, we're unlocking new frontiers in genetics. The role sits at the heart of a multidisciplinary team that includes machine learning scientists, data scientists, bioinformaticians and biologists. Based at our wet / dry lab and headquarters in central London, you'll tackle the unique challenges presented by our large models and vast datasets. Your expertise will enhance our data loaders, streamline our training and inference regimes, and refine our software architecture, all within our hybrid on-prem and cloud infrastructure featuring dedicated DGX stations. As an established NVIDIA partner and collaborator, we offer access to cutting-edge resources, supporting your efforts to drive innovation and grow. Role Responsibilities Collaborate with an interdisciplinary team to address complex challenges in data engineering, ML engineering, and software engineering. Architect and enhance data processing and loading systems to support training and inference for large-language models up to billions of parameters Develop and maintain research and production code bases, enabling rapid experimentation and efficient analysis of experimental outcomes. Lead initiatives to scale our capabilities for distributed training and improve software architecture for high-velocity research. Professionally, you have A Bachelor's degree in Computer Science or a related quantitative field, with upwards of 4 years of relevant industry experience. Exceptional candidates with less experience but a strong technical foundation will also be considered. Proficiency in Python and Pytorch, with a solid understanding of data structures and computational complexity Demonstrable skills in at least two of the following areas: data engineering (e.g., handling billion-row data frames and databases), ml engineering (e.g., distributed training, optimization, compilation) software engineering (e.g., OOP, system design, CI/CD and testing) Comfort with industry-standard cloud infrastructures Knowledge of biology, genetics is an advantage but not essential Personally, you are: A great team player A clear communicator Driven by impact Humble and hungry to learn Motivated and curious Passionate about making a difference in patients' lives Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer.
Hogarth Worldwide Ltd
Hogarth is the Global Content Experience Company. Part of WPP, Hogarth partners with one in every two of the world's top 100 brands including Coca-Cola, Ford, Rolex, Nestlé, Mondelez and Dyson. With a breadth of experience across an extensive range of sectors, Hogarth offers the unrivaled ability to deliver relevant, engaging, and measurable content across all channels and media - both established and emerging. The number of channels at our fingertips; the need for speed; and the drive for mass personalisation, all mean that brands need different solutions. Our global team of over 7,500 craft and technology experts brings together creative, production and innovation to help clients navigate this exciting and ever-changing world of today's content experience. Now offices are fully open we have embraced a hybrid working model, which allows our employees to split their time between the office and other locations, something we hope will provide everyone much more flexibility to their working week. The expectation is that working life at Hogarth will involve working from the office for about 50% of the time for most people. Please speak to the Talent Acquisition team to find out more information. W ha t d oe s a AI Solutions Architect d o a t Ho g a r t h ? We are revolutionising the marketing industry with innovative solutions powered by NVIDIA Omniverse. Our mission is to build an end-to-end content supply chain combining 3D workflows and Generative AI to create immersive, interactive, and impactful experiences at scale. As we continue to push the boundaries of what's possible in marketing, we're seeking a talented individual to join the Marketing Transformation team as the Head of NVIDIA Solutions. This role reports to the MD, Strategic Consulting & AI. You will work closely with our Production Studio, Strategic Consulting, Martech, VFX and pipeline development teams Responsibilities Lead and develop our NVIDIA/Hogarth partnership Define go-to market product and service offerings built on NVIDIA solutions Develop new business opportunities and leads across NVIDIA and WPP Lead and co-develop innovative solutions and partnerships based on NVIDIA's platform Define Hogarth's strategy for adopting 3D pipeline solutions and act as a single point of contact for Hogarth department leads Lead and architect Hogarth's 3D Product Twins production pipeline & integration with Production Studio Collaborate with client-facing teams to understand project requirements and translate them into technical solutions using NVIDIA Stay at the forefront of Omniverse developments and industry trends, continuously exploring new features and applications Oversee the implementation of Omniverse-powered virtual production techniques for live-action and CGI hybrid content Manage relationships with NVIDIA and other technology partners to ensure optimal utilization of Omniverse capabilities Requirements 3D, VFX or automobile experience preferred Knowledge of NVIDIA capabilities preferred Experience in marketing, advertising, or related creative industries Knowledge of AI and machine learning applications in content creation Understanding of cloud-based collaboration tools and workflow Diversity & Inclusion Hogarth is an equal-opportunity employer.That means we believe in creating a truly inclusive culture that values diversity, equity and inclusion for everyone through our ideas, our people, how we behave and how we conduct ourselves. We strive to recruit people from diverse backgrounds and support them to achieve long-term success. This not only makes Hogarth a better company and place to work, but an environment where everyone can give their point of view, experience connection, enjoy opportunity and feel a sense of belonging. We welcome applications from everyone, regardless of race, ethnicity, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation, or physical or mental disability.As part of our commitment to making our hiring processes as equitable as possible, we are currently rolling out a policy which ensures that hiring managers review CVs only after they have been processed through an automated anonymisation system. This aims to ensure that all candidates are considered for interview based solely on their experience and what they can bring to the role. The solution, provided by MeVitae, scans and redacts CVs to reduce potential reviewer bias. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. When you click the "Submit Application" button at the bottom of this page, this will send all the information you have added to Hogarth WW. Before you do this, we think it's a good idea to read through our Privacy st atement . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
Hogarth is the Global Content Experience Company. Part of WPP, Hogarth partners with one in every two of the world's top 100 brands including Coca-Cola, Ford, Rolex, Nestlé, Mondelez and Dyson. With a breadth of experience across an extensive range of sectors, Hogarth offers the unrivaled ability to deliver relevant, engaging, and measurable content across all channels and media - both established and emerging. The number of channels at our fingertips; the need for speed; and the drive for mass personalisation, all mean that brands need different solutions. Our global team of over 7,500 craft and technology experts brings together creative, production and innovation to help clients navigate this exciting and ever-changing world of today's content experience. Now offices are fully open we have embraced a hybrid working model, which allows our employees to split their time between the office and other locations, something we hope will provide everyone much more flexibility to their working week. The expectation is that working life at Hogarth will involve working from the office for about 50% of the time for most people. Please speak to the Talent Acquisition team to find out more information. W ha t d oe s a AI Solutions Architect d o a t Ho g a r t h ? We are revolutionising the marketing industry with innovative solutions powered by NVIDIA Omniverse. Our mission is to build an end-to-end content supply chain combining 3D workflows and Generative AI to create immersive, interactive, and impactful experiences at scale. As we continue to push the boundaries of what's possible in marketing, we're seeking a talented individual to join the Marketing Transformation team as the Head of NVIDIA Solutions. This role reports to the MD, Strategic Consulting & AI. You will work closely with our Production Studio, Strategic Consulting, Martech, VFX and pipeline development teams Responsibilities Lead and develop our NVIDIA/Hogarth partnership Define go-to market product and service offerings built on NVIDIA solutions Develop new business opportunities and leads across NVIDIA and WPP Lead and co-develop innovative solutions and partnerships based on NVIDIA's platform Define Hogarth's strategy for adopting 3D pipeline solutions and act as a single point of contact for Hogarth department leads Lead and architect Hogarth's 3D Product Twins production pipeline & integration with Production Studio Collaborate with client-facing teams to understand project requirements and translate them into technical solutions using NVIDIA Stay at the forefront of Omniverse developments and industry trends, continuously exploring new features and applications Oversee the implementation of Omniverse-powered virtual production techniques for live-action and CGI hybrid content Manage relationships with NVIDIA and other technology partners to ensure optimal utilization of Omniverse capabilities Requirements 3D, VFX or automobile experience preferred Knowledge of NVIDIA capabilities preferred Experience in marketing, advertising, or related creative industries Knowledge of AI and machine learning applications in content creation Understanding of cloud-based collaboration tools and workflow Diversity & Inclusion Hogarth is an equal-opportunity employer.That means we believe in creating a truly inclusive culture that values diversity, equity and inclusion for everyone through our ideas, our people, how we behave and how we conduct ourselves. We strive to recruit people from diverse backgrounds and support them to achieve long-term success. This not only makes Hogarth a better company and place to work, but an environment where everyone can give their point of view, experience connection, enjoy opportunity and feel a sense of belonging. We welcome applications from everyone, regardless of race, ethnicity, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation, or physical or mental disability.As part of our commitment to making our hiring processes as equitable as possible, we are currently rolling out a policy which ensures that hiring managers review CVs only after they have been processed through an automated anonymisation system. This aims to ensure that all candidates are considered for interview based solely on their experience and what they can bring to the role. The solution, provided by MeVitae, scans and redacts CVs to reduce potential reviewer bias. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. When you click the "Submit Application" button at the bottom of this page, this will send all the information you have added to Hogarth WW. Before you do this, we think it's a good idea to read through our Privacy st atement . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.