Applications are invited for the role of MachineLearning Engineer – AI Imaging Hub. This is a new position for aMachine Learning Engineer, working primarily at The Royal Marsdenbut in close collaboration with The Institute of Cancer Research(ICR). The Royal Marsden, together with its academic partner theICR, is designated as the UK's only NIHR BRC dedicated solely tocancer. This post is suitable for an engineer or scientist with thedesire to apply machine and deep learning methodology to real-worldclinical problems. The Machine Learning Engineer will be working ona programme whose aims are to evaluate and help developstate-of-the-art AI algorithms using a dedicated machine learningoperations (MLOps) platform. Algorithms that pass the evaluationwill be used by clinicians managing the treatment of cancerpatients, and by scientists developing and evaluating noveltherapies. Main duties of the job The successful post holder willbe an active member and will be supported by team members andinfrastructure within the AI Imaging Hub: Leadership. The Hub isled by 2 co-directors and managed by a transformation lead.Multidisciplinary manpower. The hub hosts data scientists,informaticians, research radiographers and radiographer AIchampions, radiologist AI champions, clinical trial managers andcoordinators; imaging scientists and students. We work closely withkey partners such as the clinical MRI research group, IntegratedPathology Unit, Biomedical Research Informatics Digital Environment(BRIDgE) teams and Data Stewards Group. Data access andorganisation. Our in-house expertise has created an imagerepository – XNAT - which has now been adopted by the 7 CRUK NCITAsites as the data repository platform of choice. The hub team willmaintain and expand the capabilities of XNAT, which is the backbonedata management system for our imaging AI and radiomics pipelinesand has provided crucial leverage in securing competitive funding.We have recently set up a machine learning operations (MLOps)platform to evaluate AI algorithms, either developed in house orbrought in by a third party, in a real-world clinical environment.Working for our organisation The Royal Marsden NHS Foundation Trustis a world-leading cancer centre. Our role is to offer our patientsthe best cancer care available anywhere in the world, and tocontinue to make a global contribution to finding better ways ofdiagnosing and treating cancer. We employ over 4,500 staff in adiverse range of careers including nursing, medical, science,radiography, pharmacy, occupational therapy, finance andadministrative services. We have two hospitals – one in Chelsea,London, and one in Sutton, Surrey – as well as a Medical DaycareUnit in Kingston Hospital. At The Royal Marsden, we deal withcancer every day, so we understand how valuable life is. Whenpeople entrust their lives to us, they have the right to demand thevery best. That's why the pursuit of excellence lies at the heartof everything we do. At the heart of the hospital is our dedicatedteam. We offer a stimulating and dynamic working environment, awide range of staff benefits, learning and developmentopportunities and clear career pathways. There are opportunities towork flexibly across a range of areas and specialities and wewelcome flexible working requests from point of hire to supportemployees work life balance. We are looking for employees whoaspire to excellence, share our values and can play a crucial rolein our on-going achievements. Detailed job description and mainresponsibilities For further information on this role, please seethe attached detailed Job Description and Person Specification: -Use MLOps to evaluate algorithms that can be used prognostically orpredictively for steering patient treatment and detecting responseto treatment. - To lead, create, evolve and be responsible for aspecialist training programme covering all aspects of the MLOpsplatform. This training will be mandatory for scientists,clinicians and supporting staff members to interact with the MLOpsplatform. - Develop algorithms, using machine and deep learningmethodology, that may be used with a combination of radiologicalimages and other data for tumour detection, segmentation,characterisation, response to treatment and prognostication. -Build and line manage a team to deliver MLOps services bothinternally and externally, providing daily supervision andco-ordination of these staff members. This includes workforceplanning and staff recruitment to grow a modern engineering anddata scientist team. Person specification Education/Qualifications- Good honours degree or equivalent in a mathematical, engineering,scientific or computing discipline - A PhD or equivalentdoctoral-level qualification in a relevant field. Experience - Theapplication of machine learning and/or deep learning for imageanalysis. - Scientific programming in Python. - Competence inanother scripting language (R, Julia, shell scripting, etc) or anobject-oriented language (C++, Java, etc). - Experience presentingcomplex information so that it is understandable to colleagues anda wider audience. - Experience preparing work for publication inacademic journals. - Knowledge and/or prior experience with git forsoftware version control and dvc for tracking ML experiments -Experience with survival or time-to-event analysis - Experiencewith AI software development, regulatory requirements andunderstanding routes to commercialization. SkillsAbilities/knowledge - Strong analytical and problem-solving skills,including the ability to select an appropriate methodology whenanalysing data. - Excellent data analysis skills - Report writingand written presentation skills. - Knowledge of MRI and/or othermedical imaging techniques. - Knowledge of basic elements of cancerbiology The Royal Marsden values diversity and is committed to therecruitment and retention of underrepresented minority groups. Weparticularly welcome applications from Black, Asian and minorityethnic candidates, LGBTQ+ candidates and candidates withdisabilities. As a Disability Confident Employer, we are working tocreate a workplace that enables all staff to reach their fullpotential. We are committed to this because we know that greaterdiversity and inclusion will lead to an even greater positiveimpact for the people we serve. Due to the high volumes ofapplications we receive, we reserve the right to close any advertsbefore the published closing date once we have received asufficient number of applications. We advise you to submit yourapplication as early as possible to prevent disappointment. Allapplicants will be contacted by email to the address supplied onyour application. Applicants are advised to check their emailaccounts regularly and to ensure that email filters are set toallow our emails. Flu Vaccination – What We Expect of our Staff AtThe Royal Marsden we have an immune compromised patient populationwho we must protect as much as we can against the flu virus. Eachyear, seasonal flu affects thousands of people in the UK. Occurringmainly in winter, it is an infectious respiratory disease capableof producing symptoms ranging from those similar to a common cold,through to very severe or even fatal disease. The wellbeing of ourstaff and patients is of the upmost importance to us, and it is theexpectation of The Royal Marsden that all patient-facing staff havean annual flu vaccination, provided free of charge by the Trust.Employer certification / accreditation badges Name Brandon WhitcherJob title Lead in Radiomics and Computational Imaging Email #J-18808-Ljbffr
