15 of 15 Part-Time Deep Learning Jobs in the UK

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. ...

identify business needs and develop NLP/ML solutions that address client needs and drive transformation. \n Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational … understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc. \n Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace. \n Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation. \n Familiarity with ...

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 ...

deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. \n As a Senior Machine … Learning and Generative AI Engineer in Public Cloud Engineering, you will lead hands-on architecture, development, and production deployment of ML and LLM-powered solutions. You’ll apply strong engineering practices, rigorous experimentation, and responsible AI methods to deliver high-impact capabilities for our businesses, partnering across a global ...

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 ...

Engineer within the Workday Practice at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday product offerings. Your … communicate effectively with both technical and non-technical stakeholders. \n\n Desirable Experience: \n \n BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. \n Familiarity with Workday APIs, data structures, and integration patterns. \n Experience designing and implementing generative AI solutions using ...

Practice at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product … solutions, and communicate effectively with both technical and non-technical stakeholders. \n\n Desirable Experience: \n \n MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. \n Familiarity with Workday APIs, data structures, and integration patterns. \n Experience designing and implementing generative AI solutions ...

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. ...