Senior Machine Learning Engineer
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Job description
As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution.Based in Gloucester, Manchester or London in a hybrid capacity (average of 3 days a week on-site). You must be eligible and willing to gain SC and eDV clearance.ResponsibilitiesDevelop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidanceBrings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplinesUndertake research and applied AI/ML tasks on both customer and internal research projectsGenerate ideas for new research directions and provide, Senior Machine Learning Engineer Location: UK (hybrid/on-site as required) Salary: £80,000 - £100,000 Security Clearance: Must be eligible for UK Security Clearance (SC minimum) Machine Learning Engineer - Defence & Advanced AI We are partnering with a cutting-edge...
Requirements
technical leadership in small project groupsMentor more junior team members within their project team and the wider SRGWork with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery.Required Skills & ExperienceBSc in Machine Learning, Data Science, Computer Science, Mathematics or related fieldExperience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch)Proven experience of delivering ML solutions to customers and internal stakeholdersDemonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature.Experience of training and developing AI models including Large Language ModelsAbility to produce high-quality scientific writing for internal & external stakeholders as well as academic publicationsExperience of mentoring and undertaking technical leadership on small projectsDesirable Skills & ExperiencePhD. or Masters degreeExperience using robust ML pipelines, appropriate version control and environment management (e.g. venvs or Docker)Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands)Experience of deploying AI models in a scalable way for external usersExperience working in Cloud, preferably AWS but also GCP or AzureResearch publications in peer reviewed journalsExperience of writing technical project proposalsBenefits and Work Culture37hr working week with early finish Fridays - start your weekend early!An informal, flexible working culture that is output focused25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteeringContributory Pension Scheme (up to 10.5% company contribution)Annual company bonus scheme