3 of 3 Permanent Machine Learning Engineer Jobs in Manchester

Machine Learning Engineer page is loaded Machine Learning Engineerlocations: London: Chester Cawley House: Manchester: Bristol Harboursidetime type: Full timeposted on: Posted Todaytime left to apply: End Date: December 3, 2025 (13 days left to apply)job requisition id: 147486 End Date Tuesday 02 December 2025 Salary Range £87,552 - £97,280 Flexible Working Options Job … Share Job Description Summary . Job Description JOB TITLE: Machine Learning Engineer. SALARY: £70,900pa to £107,000pa (dependent on location and experience) plus an extensive benefits package. LOCATION: London, Bristol, Manchester, Chester. HOURS: 35 hours, full time. WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of your … to help us deliver the best outcomes for our colleagues, customers and businesses. We're growing with purpose. Join us on our journey and you will too!As a Machine Learning (ML) Engineer, you'll play a meaningful role in developing, operating and maintaining ML solutions across Consumer Lending. You'll work on different projects with a More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This … tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements Proven experience in Natural Language Processing (NLP) and Large 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 More ❯

understand and interact with the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that More ❯