11 of 11 Part-Time Deep Learning Jobs in England

with Baringa Partners to connect them with exceptional professionals for this role. \n What you will be doing \n \n Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance \n Establishing … hands on in technical delivery to bring a solution to life. \n \n Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements \n Advanced degree in computer science, mathematics, physics, engineering ...

Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly … research-grade prototypes and collaborate with engineers to translate them into scalable, production-ready solutions. \n Conduct forward-looking research on generative AI, multimodal learning, and representation learning. \n Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments. ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. \n Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government … RESPONSIBILITIES IN THE BUSINESS: \n As a Senior AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. \n Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government … BUSINESS: \n As a Lead AI Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role ...

Microsoft, AWS and others to deliver advanced AI and data solutions at citizen scale. \n Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government … Engineer Manager at Kainos, you’ll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve technical ...

applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. \n As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. \n Job responsibilities \n \n Build robust Data Science capabilities which can be scaled across multiple business use cases \n Collaborate ...

engineering, or applied data role. \n Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. \n Working knowledge of Bedrock and other AWS managed services. \n Demonstrable experience building and deploying at least ...

engineering, or applied data role. \n Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. \n Working knowledge of Bedrock and other AWS managed services. \n Demonstrable experience building and deploying at least ...

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. \n As an Applied AI/ML Lead - Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. … partners closely with the Product Manager to advise and influence the strategic prioritization of work. \n Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models. This includes diagnosing operational friction points (e.g., courier ...

MLOps team at SB there is significant opportunity to deploy end to end and will be actively encouraged\n \n \ncontinually improve through active learning and development highlighting opportunities for SB to stay at the forefront of commercialised Data Science\n \n \nmentor and support members of the Data … data visualisation techniques to easily explain the results of your analysis to a non-technical audience\n \n \nknowledgeable in GenAI, NLP and other Deep Learning techniques a plus\n \n\n \n (We know it’s tough, but please try to avoid the confidence gap. ...