Machine Learning Engineer

Machine Learning EngineerAbout UsLaunched in 2021, Bolt6 is an Emmy award-winning start-up dedicated to improving the experience of sport for everyone. Our products help to improve fan engagement, officiating acceptance, and drive commercial performance for sports leagues and federations. We use cutting-edge technology to do a variety of amazing things with cameras and other data sources (all in real-time on site or in the cloud), including:Tracking the 3D position of vehicles in elite motorsport (e.g. NASCAR)Ball and skeletal player tracking of athletes in a number of top level sportsElectronic line calling in tennis and volleyballProviding the platform for sports federations to make critical officiating decisions using video and tracking dataWe have a commitment to diversity and inclusion across race, gender, age, religion, and identity. We celebrate differences. We encourage different opinions and approaches to be heard, and we use these to build the best products in the world. Your impactAs a start-up, Bolt6 provides a unique opportunity to work alongside and learn from people who have built multiple successful sports technology businesses. Joining at our early stage of growth will enable you to become a key figure as we expand our teams, and enable you to work on all elements of the product life-cycle from ideation through to operational delivery. We take new ideas seriously, no matter where or who they come from. Role RequirementsWe are searching for motivated, driven and proactive individuals, who will own a ML-based project, or research block to design, train and integrate a new machine learning model. The role will involve working closely with ML, software engineering and operations teams to ensure the models are well designed, integrated and utilised in our products. Key Responsibilities:Model Development, Implementation and Deployment:Develop and implement state-of-the-art models for computer vision problems including object detection, key-point estimation, segmentation; using Python, PyTorch, Ignite, OpenCV, AWSResearch, prototype, and implement state-of-the-art machine learning algorithmsDesign and implement custom loss functions, evaluation metrics, and training proceduresContribute to model selection, architecture design, and technology stackEvaluate model performanceDrive innovation initiatives and proof-of-concept projectsExport models to ONNX and deploy and integrate them into our C++ environment using TensorRTOptimise existing models for improved accuracy, efficiency, and scalabilityBuild and maintain machine learning infrastructure and deployment pipelinesImplement model monitoring and performance tracking systemsMLOpsEstablish monitoring, alerting, and automated retraining systems for production modelsEnsure model versioning, reproducibility, and rollback capabilitiesEstablish monitoring, alerting, and automated retraining systems for production modelsOptimize data workflows for performance and cost efficiencyDataset generation, annotation and curation for efficient iterations of modelsImplement data and augmentation pipelines for trainingPerform exploratory data analysis to identify patterns and insightsEnsure data quality and integrity throughout the machine learning life-cycleSoft SkillsCollaborate with ops team to understand current limitations of models, and come up with solutions of how to fix them. Present findings and recommendations to stakeholders in both technical and non-technical formatsParticipate in code reviews and knowledge sharing sessionsContribute to team documentation and best practicesStay up-to-date with the latest developments in AI, model architecture and infrastructureEvaluate new technologies for adoptionWhat we are looking for:Experience:A degree in a STEM (Science Technology Engineering and Mathematics) subject2-5 years of professional experience in machine learning engineering or related rolesProven track record of deploying machine learning models to production environmentsExperience leading technical projects and managing timelinesExperience with end-to-end ML project life-cycle from research to deploymentSelf starter with initiative and the ability to pick up and develop projects independentlyAbility to work quickly and make effective decisionsIntellectually curious and has the drive to ask the right questions in order to get to the bottom of complex issuesExperience with A/B testing and experimental designUnderstanding of model evaluation metrics and validation techniquesGreat interpersonal skillsThe ability to quickly grasp complex issuesThe ability to work well under pressure to tight deadlines whilst remaining organisedStrong analytical approach to problemsTechnical skills:Excellence with PythonExcellence with version control (Git)Proficiency with containerisation (Docker)Proficiency with data processing tools (Pandas, NumPy)Experience using machine learning frameworks like PyTorch or TensorFlowFamiliarity with cloud platforms and their ML servicesBenefits:MOST IMPORTANT: Your careerMentorship from senior machine learning engineers and data scientistsAccess to cutting-edge tools, technologies, and computing resourcesClear career progression paths within the ML engineering disciplineAccess to large-scale datasets and real-world problem-solving opportunitiesWe will encourage and support you through learning and development tailored to your role. If you are looking for a company where you will be challenged, valued and respected, with great compensation in a team that doesn’t play politics then this is the role for youCompetitive salary, depending on experience and skill setBonus schemeFlexible hours and choice of working remotelyOwnership and autonomy of your workThe opportunity to work in sport at an elite levelThe option to travel to sporting events around the worldLocationHaving started during the Covid-19 pandemic, the majority of us work remotely from home. We also have an office in London and Winchester for those that prefer office working. Interview ProcessA short interview to check suitability, work history and interests. We can find out a bit more about you and give you an opportunity to ask questions about us! We may give you a short take home assignment to check your technical competency and for you to see if you’d enjoy the workFinally, we’ll invite you to a longer interview where we can discuss the assignment and take a deeper dive into your competenciesIf we think you’d be a good fit and you like us then we’ll send you an offer! Originally posted on Himalayas Apply To this Job