7 Contract Machine Learning Jobs in London with Remote Work Options

looking for) Overview: Are you a seasoned MLOps Engineer with a passion for AI and a track record of deploying, monitoring, and maintaining of machine learning models in production environments for optimal performance? As an MLOps Engineer, youll play a critical role in shaping and delivering cutting-edge … solutions that redefine industries and create transformative impact. What You'll Do: . Deploy and maintain machine learning models in production environments. . Implement monitoring solutions to track model performance and detect anomalies. . Collaborate with data scientists and engineers to streamline the model deployment process. . Optimize … management. What You'll Bring: . 5+ years of experience in MLOps or a related field. . Masters or higher degree in Computer Science, Machine Learning, or a related field. . Solid understanding of machine learning concepts and model deployment. . Proficiency in programming languages such more »

days) Week 6 - Probability & Statistics (3 days) Week 7 - Maths & Statistics Project (Self Study) Week 8 - Algorithms & Graph Theory (3 days) Week 9 - Machine Learning 1 (3 days) Week 10 - Machine Learning 2 (3 days) Week 11 - Data Science Project (Self Study) Week 12 - Project Review more »

You will: Deploy industry-leading models to customers globally Conduct Proof-of-Value exercises with customers Contribute towards the research and development of new Machine Learning solutions Support in-production models, ensuring that they meet their user's needs over time You must have: Extensive experience developing and … deploying machine learning models at scale within financial services (ideally within financial crime prevention based projects) Very Strong Python skills and strong familiarity with the data science stack (pandas, scikit-learn and network) Have experience working in a, dynamic and scientific manner and creating high-quality models Be more »

Learning Engineer - Contract - Outside IR35 Spinks have partnered with an early, stage VC-Backed Healthcare start-up who are seeking an experienced ML Engineer to join them on an initial 3 month basis as they build out their team. Skills we're looking for: Prior proven experience in … an ML Engineer role, especially using LLMs. Experience with Python, C# & Azure. Exposure to Vue.JS would be beneficial but non-essential. Exposure to working in early stage start-ups or the healthcare industry are also beneficial. The contract details: 3 Month initial engagement - potential extensions Fully remote (UK) - office is more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

to design data integration solutions for various data sources, while ensuring data accuracy and data integrity. Working with Business Intelligence (BI) and AI/Machine Learning teams to integrate data flows into the BI platform enabling better data driven reporting + decision making. more »