London
Full-time
Not specified
Mid-Senior level
Salary
Sponsorship
15% more than your current base salary
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Job Description

About the RoleWe are seeking a skilled Machine Learning Engineer with 3+ years of professional experience to design, develop, and deploy scalable machine learning solutions. You will work closely with data scientists, data engineers, and product teams to build models that drive business insights and automation.This role is ideal for professionals who have hands-on experience in model development and production deployment.Key ResponsibilitiesDesign, develop, and deploy machine learning models into productionBuild and maintain data pipelines to support ML workflowsOptimise model performance, scalability, and reliabilityWork with structured and unstructured datasetsImplement feature engineering and model evaluation techniquesCollaborate with cross-functional teams to translate business needs into ML solutionsMonitor models in production and improve performance over timeMaintain technical documentation and version controlRequired Skills & Qualifications3+ years of experience in machine learning, data science, or related rolesStrong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)Experience building and deploying ML models in production environmentsSolid understanding of statistics, algorithms, and data structuresExperience working with SQL and large datasetsFamiliarity with cloud platforms (AWS, Azure, or Google Cloud)Strong problem-solving and analytical skillsGood communication and collaboration abilitiesPreferred (Not Mandatory)Experience with NLP, computer vision, or recommendation systemsExposure to MLOps practices and CI/CD for ML pipelinesExperience with containerisation technologiesFamiliarity with distributed data processing toolsRelevant certifications in machine learning or cloud technologiesWhat We OfferCompetitive compensation based on experienceOpportunity to work on impactful AI/ML projectsCollaborative and innovative technical environmentProfessional development and learning opportunitiesFlexible working arrangements where applicableEqual Opportunity StatementWe are an equal opportunity employer. Employment decisions are based on skills, experience, and qualifications. We welcome candidates from all backgrounds.

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