Safe Intelligence is on a mission to make AI safe andreliable for anyone to use. To help us succeed, our team is lookingfor Machine Learning Specialists, and we’re hoping it’s you! Inthis role, you’ll play a leading role in helping both customers anddriving our product forward by helping our internal team applyadvanced validation techniques to their machine-learning models.This role will have a specific focus on tabular data models used infinance and insurance, but there will be plenty of opportunity tobranch out to other model types and industries. The role hassignificant customer & user facing elements working on realworld problems to help ML teams (R&D and Product within otherorganizations) improve the quality of their models. In addition youwill also work closely with the Safe Intelligence R&D team tohelp improve the company’s tools based on the challenges you see inyour domains of expertise. This can range from inputs to productsto working on the product itself. Previous knowledge of MachineLearning Verification isn’t required, but a solid knowledge ofexisting testing practices, metrics, training, and validationmethods are extremely valuable. We’re looking forward to having youon board! Responsibilities As a Safe Intelligence Machine LearningSpecialist, you will: - Work closely with customers and end-usersto understand their ML models and help them assess performance.Generally, these will be R&D and product teams at customerorganisations. - Implement prototypes, usecases, and solutions thatapply the algorithms developed at Safe Intelligence to addressuser-specific problems, particularly in the field of tabular datafor Finance and Insurance. - Conduct experiments to evaluatevarious approaches and weigh their respective trade-offs. -Coordinate with the research and platform teams to guide futuredevelopment based on use-case-specific challenges. - Contribute tothe development of an efficient and scalable package for performingverification and robust learning. Qualifications The technicalrequirements for the role are: - Experience in training,evaluating, and deploying Machine Learning learning models in theFinance or Insurance industries. - Experience talking tostakeholders in these models to understand their requirements andguiding them through what is and is not possible or desirable in amodel. - Familiarity with Python and the packages widely used indata science and machine learning. Developers should be familiarwith libraries like NumPy, pandas, scikit-learn, TensorFlow, andPyTorch. - Familiarity with common machine-learned model types usedfor tabular data. - Fluency in validation and evaluation frameworksand metrics frameworks for machine learning such as Accuracy,Recall, F1 scores, and others. - An in-depth understanding ofNeural Networks and Decision Trees enabling you to train suchmodels to high performance and modify/tune their architecture basedon given constraints. Additional beneficial experience includes: -Familiarity with best practice in Machine Learning workflows andMLOps tools. - Technical experience in developing non-ML solutionsin the Finance or Insurance industries. At a personal level, we’realso looking for someone who is: - Passionate about helpingengineering teams achieve their AI and ML goals. - Excited aboutinteracting with others and digging in to help solve their problemscollaboratively. - Technical and constantly in a state of learning.- Able to communicate clearly and efficiently with a variety ofaudiences, including developers, customers, researchers, partners,and executives. - Fearless in getting "hands-on" with technologyand execution. - Has a strong understanding of modern softwareengineering processes. - Comfortable with ambiguity with a drivefor clarity. - Collaborative with and respectful of others on theteam. - Honest, straightforward, and caring about each other’swell-being. Why Safe Intelligence is for you: We strongly believeAI can bring great benefits to individuals and society, but thesewill only be achieved if the systems we build are safe to use. Tomeet this need, we are developing advanced deep validationtechniques and tools that allow AI/ML engineers world-wide tovalidate the robustness of their models, as well as repair thefragilities that they discover. By joining us, you’ll be able tohelp advance the techniques, bring advanced technologies to AI/MLengineers worldwide and contribute to our shared mission to realisesuccessful and reliable AI. Grow with us! If you think you canbring something special to this role, please apply even if you donot meet all listed criteria. Safe Intelligence is exploringuncharted waters, and finding the right crewmates is important tous. We support ongoing learning for the whole team, ranging fromindividual mentorship to internal seminars and support for sectorand technology-specific upskilling. Compensation & BenefitsSafe Intelligence provides competitive compensation based on roleand candidate experience. Our salary guidance range for this roleis: - 55,000-90,000 GBP / Annual + Stock Option Benefits Inaddition, company benefits for all roles include: - Stock optionbenefits - Mentoring, learning, and development allowance - Regularteam social and work events - Flexible and generous holidays. Wework hard and encourage everyone to take time off to recharge andenjoy other aspects of our lives. Equality and Inclusion We areproud to be an equal opportunity employer and work hard to createan environment where people of diverse backgrounds and lifeexperiences can thrive. The team is highly collaborative andmeritocratic. Great ideas come from everywhere, and we strive tomake it easy for people to express themselves and be heard.Location & Office Culture Safe Intelligence is based in London,UK, and we’re focused on building the initial team here. We highlyvalue the ability to work flexibly and remotely at times, but wealso have a strong belief that regular in-office interactions makefor a much more fulfilling and productive work experience. Ourcompany culture combines optimism for the future (hard problems canbe solved with the right effort), speed of iteration (the bestideas come from many ideas tested), and rigour in what matters(correctness and precision are critical for safety). Come and joinus to add your skills and passion to the future of Safe ArtificialIntelligence! How to apply Find us on LinkedIn and submit for thisrole. If you have any questions, please feel free to . Not ticking every box on our list? If youdon’t meet all the criteria but feel you have something special tobring to the table, we encourage you to apply anyway.