Machine Learning Engineer

2 weeks ago

Oxford, United Kingdom Gerrell & Hard Ltd. Full time £150 - £200

Machine Learning EngineerInterested in this role You can find all the relevant information in the description below.Oxford – Some flexibility on the working times and potential for some hybrid working for the right candidate£Competitive + excellent benefitsJoin a fast-growing, venture-funded technology company developing the next generation of advanced materials. Our multidisciplinary team of metallurgists, engineers, and software developers works across the UK, Japan, and the US, using cutting‑edge machine learning and physical modelling to accelerate materials innovation and transform manufacturing.Role OverviewWe are seeking a Machine Learning Engineer to design, develop, and validate novel ML models that optimise manufacturing processes and material composition. You will collaborate closely with process engineers and materials scientists, identifying meaningful features and translating complex datasets into impactful insights. You will also help advance our internal ML platforms to support model adoption and scale.In this role, you will:Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring.Use tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management. xpwpeyx Work within an agile development environment and help prioritise high-value opportunities for rapid delivery.Essential SkillsBachelor’s degree (2:1 or above) in a STEM fieldStrong Python development skillsHands‑on experience developing ML and/or deep learning models for scientific or engineering problemsExperience with MLOps tools such as Airflow, MLflow, and containerisation (e.g., Docker)Strong data‑visualisation and storytelling skillsInterest in materials discovery, computer vision, big data, or optimisationCollaborative communicator, organised, proactive, and curiousDesired SkillsMaster’s degree in ML, mathematics, or statisticsKnowledge of probabilistic and Bayesian modellingSolid software‑engineering principles and experience with an OO languageFamiliarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such as Terraform#J-18808-Ljbffr

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