26 to 29 of 29 Machine Learning Jobs in Lancashire

people management, but full accountability for strategy, vision, and impact. Partnering with engineering, data science, and R&D to create new AI/ML products and evaluate model trade-offs. Bringing brand-new products to market and directly influencing adoption, revenue, and commercial success. Helping global media clients measure … experience in B2B SaaS. A proven record of building and launching new products , not just iterating or maintaining existing ones. Experience delivering AI/ML products , ideally involving large-scale datasets, LLMs, synthetic data, or model development. Strong customer-centric mindset - able to translate complex problems into clear, validated product ...

senior direct reports and developing strong leadership capability Driving engineering delivery, process quality, and technical standards Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications Working closely with the C-suite on engineering strategy and org development Embedding AI-driven development workflows (70% of code … build of entirely greenfield products and systems . Key Requirements: Web teams Data engineering teams using distributed technologies (e.g., Spark) Data Science/ML teams Leadership experience over multi-discipline engineering teams Strong soft-skills leadership: coaching, clarity, communication Experience in high-growth, fast-changing environments A passion ...

largest programmatic insights marketplace for Fortune 500 brands . THE ROLE Principal PM (Director-level scope) . Senior IC. Build 0-1 AI/ML data products . Focus: Synthetic Data, Data Collaboration, and Media Measurement . Lead high-level strategy and technical execution with Data Science teams. WHAT … Strategy: Own Data Innovation vision, adoption, and revenue. 0-1 Building: Validate opportunities and build production-ready AI/ML products with R&D. Commercial: Own GTM, pricing, and positioning . Leadership: Influence C-suite and global partners. KEY FOCUS Synthetic Data: AI-generated research solutions. Data Collaboration: Privacy-safe ...

work ETL/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit … learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution. Visualization and communication Graph visualisation tools: Linkurious, Ogma, GraphViz, PyVis, PyDot , etc. Ability to translate complex graph or AI concepts to varied audiences. ...