2 of 2 Contract Data Science Jobs in Manchester

Developer Location: Manchester Duration: 4 Days a Week Job Type: Permanent/FTE As a Snowflake Developer, you'll be a key player in designing, developing, and maintaining our data solutions. You'll work with cutting-edge technologies, leveraging your expertise in Snowflake to build robust and scalable data pipelines and architectures. This role is perfect for someone … ANSI-SQL: Possess a deep understanding of Snowflake's architecture and internals, including roles, dynamic tables, streams, and tasks. You'll need excellent skills in writing complex SQL queries. Data Modeling: Extensive working knowledge of various data models, including Dimensional Data Model , ER Data Model , and Data Vault . Cloud Computing: Strong foundational knowledge of … cloud computing principles. Data Expertise: Significant experience in data-related projects and applications, including a good understanding of data management and data governance . Programming & Tools: Good working knowledge of Python and GitLab . Stakeholder Management: Proven experience in managing product owners and stakeholders. Soft Skills: A great team player with a positive attitude, proactive mindset More ❯

per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground … to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural … Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model More ❯