2 of 2 Computer Vision Jobs in Lancashire

Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP, Computer Vision We’re partnering with a fast-growing analytics and technology business operating in the media streaming sector to recruit a Full Stack Data Scientist. They provide data analytics tools for major entertainment brands that are household names around the globe. This role offers a chance to … and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating time-series forecasts Prototyping AI/ML models (NLP and computer vision exposure) Translating findings into clear visual reports and concise business narratives Contributing to simple, reliable data pipelines and automated quality checks About You Minimum 1 year of … work clearly to non-technical audiences Why Apply Opportunity to build from scratch within a growing data function Exposure to cutting-edge work in NLP, time-series analysis, and computer vision Collaborative startup environment where ideas turn into production Competitive salary - £35,000–£50,000 DOE UK-based only, Fully remote working N.B. They do not offer visa More ❯

technical stakeholders. Ability to mentor and lead a team of data scientists, machine learning engineers, and data engineers, with strategic decision-making capability. Essential Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience BS & 5+ years of work experience MS & 4+ years of work experience Proficient with machine … learning and statistics Proficient with Python, deep learning frameworks, Computer Vision, Spark Have produced production level algorithms Proficient in researching, developing, synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role Proficient with cloud computing environments, Kubernetes, etc. Familiarity with Data Science More ❯