Machine Learning Engineer

4 days ago

Oxford, United Kingdom Noir Full time £150 - £200

Machine Learning Engineer – AI for Advanced Materials – OxfordRead the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform.We’re looking for a Machine Learning Engineer to join a rapidly scaling deep‑tech company that’s reinventing how the world designs and makes advanced materials. By combining artificial intelligence, physics‑based simulation, and cutting‑edge 3D printing, our client is transforming the way metal components are conceived, tested, and produced — enabling breakthroughs in aerospace, energy, and beyond.This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact — from inventing new alloys to optimising complex manufacturing processes. You’ll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real-world innovation. Expect to design, validate, and deploy state‑of‑the‑art ML pipelines that move seamlessly from concept to production.If you thrive in fast‑paced, intellectually charged environments where every model could change an industry, you’ll fit right in.Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies.BenefitsCompetitive salary with annual performance‑based bonusesEquity options — share in the company’s long‑term successPrivate healthcare and comprehensive wellbeing packageGenerous pension scheme (up to 8%)Dedicated R&D time to explore new technologies and research ideasAnnual training & conference allowance of £5,000 for personal developmentFlexible and hybrid working — work where you’re most effectiveOpportunities for international collaboration with teams in Europe, Asia, and the US25 days holiday plus your birthday off and extra days for long serviceRegular team offsites, guest talks, and hack weeks to spark innovationAn open, supportive culture that values curiosity, creativity, and deep technical masteryLocationOxford, UK. Applicants must be based in the UK and have the right to work in the UK, even though remote working is available. xpwpeyx How to ApplyTo apply for this position please send your CV to Lina Savjani at Noir.Seniority LevelMid‑Senior levelEmployment typeFull‑timeJob functionInformation TechnologyReference CodeNC/LS/MLENG

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