Quantitative Researcher (Machine Learning) We are seeking a talented Quantitative Researcher to join our competitive global quantitative trading team at Geneva Trading. In this role, you'll research, develop, and deploy automated intraday and mid-frequency trading strategies using machine More ❯
We are keen to hire a FX Quantitative Research Analyst who is fluent in both data analytics and investment; this role will be based in our London office. About Record Financial Group: Record is a leading specialist currency and asset More ❯
About The Role At National Grid, we keep people connected and society moving. But it's so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition More ❯
Senior Data Scientist UK – Hybrid Up to £80,000 The Company A leading UK telecoms company is expanding its Product and Marketing Data Science teams and is looking for a Senior Data Scientist to help drive data-driven decision-making. More ❯
Location: London, EC4N 6AP 🌎 Working Arrangements: 2-3 days per week in office Salary: £50,000 - £70,000 Industry: SaaS Tech Stack: Python, scikit-learn, Kubernetes, AWS 👩🏻💻 Great opportunity for a talented ML Engineer (Python, scikit-learn, Kubernetes, AWS) to join an AI driven SaaS platform … SaaS platform enables the automation of their social media and email outreach campaigns. The Role ✨ They are seeking a Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) to build out their business-critical platform. You will be expected to work end-to-end across their ML (Python, scikit-learn, Kubernetes, AWS) platform and will be afforded a considerable amount of autonomy. The ideal candidate (Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS More ❯
london, south east england, united kingdom Hybrid / WFH Options
Oliver Bernard
Location: London, EC4N 6AP 🌎 Working Arrangements: 2-3 days per week in office Salary: £50,000 - £70,000 Industry: SaaS Tech Stack: Python, scikit-learn, Kubernetes, AWS 👩🏻💻 Great opportunity for a talented ML Engineer (Python, scikit-learn, Kubernetes, AWS) to join an AI driven SaaS platform … SaaS platform enables the automation of their social media and email outreach campaigns. The Role ✨ They are seeking a Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) to build out their business-critical platform. You will be expected to work end-to-end across their ML (Python, scikit-learn, Kubernetes, AWS) platform and will be afforded a considerable amount of autonomy. The ideal candidate (Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS More ❯
of Software, Data or DevOps and strong experience working with ML models. You will be an expert with Python and associated libraries (Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high proficiency in SQL. The Role: Lead machine learning projects from concept to … deployment processes. Design and maintain cloud infrastructure to support machine learning initiatives. The Person: Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of software engineering best practices. Experience with tools like Azure, Azure ML, GitHub Actions, Terraform, Packer, Airflow More ❯
