4 of 4 Contract Machine Learning Jobs in the City of London

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. … Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech Teams is essential. … Lead/Senior Engineering Level Mentoring/Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect More ❯

governance, and ethical design. Educate stakeholders on emerging AI risks and mitigation strategies. The successful AI Security & Compliance Engineer will have experience in: Strong technical background in AI/ML systems, with experience embedding security and compliance into product design. Expert-level knowledge of Microsoft Purview for data governance, classification, and compliance. Familiarity with AI governance frameworks (e.g., NIST AI More ❯

engineer roles. The first role is focused around Azure, and the second around Copilot. Key Criteria: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry, Microsoft Azure ML Studio or using Copilot . Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. Experience designing and deploying Agentic AI solutions More ❯