1,151 to 1,175 of 3,257 Machine Learning Jobs in the UK

skills to fuel our technological advancements. We are seeking a Senior Data Scientist to join Primark’s Data Science & Measurement team, delivering advanced analytics, machine learning and experimentation solutions that drive measurable business value. Working with stakeholders across key business functions, you will solve complex commercial challenges using … data scientist with strong technical expertise, commercial awareness and a passion for turning data into actionable business outcomes. What you’ll do Advanced Analytics & Machine Learning Delivery: Lead the design, development and deployment of machine learning, optimisation and measurement solutions that solve complex business challenges ...

live deployment and business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents – ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … Experience Essential Proven experience leading AI strategy, implementation, or AI transformation initiatives within a business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production‐grade AI solutions, including RAG pipelines and LLM‐based applications Hands‐on experience with AI deployment ...

Science Lead role within a fast growing fintech environment. You will play a key role in shaping credit risk strategy through advanced analytics and machine learning, with strong exposure to senior stakeholders and clear progression opportunities. The Company They are a scaling fintech business operating in the consumer … analytics capability. The Role Develop and enhance credit risk models including scorecards, behavioural, acquisition and fraud models Build predictive models using advanced statistical and machine learning techniques Deploy models into production using AWS SageMaker and collaborate with engineering teams Monitor model performance and ensure ongoing effectiveness across business ...

certificate renewals, technical documentation and responses to deficiencies; own Notified Body relationship and capacity planning. Develop and own the regulatory pathway for AI/ML-enabled SaMD products, including FDA AI/ML guidance, Good Machine Learning Practice (GMLP), Predetermined Change Control Plans, IMDRF SaMD framework … Experience implementing and maintaining a QMS in a scale-up or start-up environment — not a large-corporate-only background. Experience with AI/ML-enabled medical software is strongly preferred. Strong internal and external audit experience (hosting and conducting). Prior medical device manufacturing or contract-manufacturer oversight experience. ...

find enablement opportunities to expand adoption and utilization of ACS AI solutions.* Assist customers in understanding the strategic impact of integrating AI/ML into their workflows.* Design and implement AI proof of concepts to showcase the capabilities and potential impact on solving customer challenges.* Develop and deliver training sessions … Solution Engineering and software experience.* Proven experience in a similar role, preferably in AI software sales or solutions engineering.* In-depth knowledge of AI, machine learning, and data science concepts.* Strong presentation and communication skills, with the ability to convey technical concepts to diverse audiences.* Strong proficiency with ...

about delivering technology that makes a real difference, this is the role for you. As a Lead Software Engineer at JPMorganChase within the AI & ML Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products … maintainability Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience with a strong understanding ...

data science can enhance decision-making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data … professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non-technical stakeholders Identify ...

compliance requirementsCommunicate technical concepts, project status, and solution impact clearly to both technical and non-technical audiencesStay current with advancements in AI/ML and automation, and experiment with new tools and approaches to foster innovation and continuous improvementContribute to the development of playbooks, reusable templates, and best practices … 8+ years of experience in software engineering, support engineering, reliability engineering or related6+ years of experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, data mining, artificial intelligence, AI-Infrastructure, or related technical fieldBachelor’s degree in Computer Science, Computer Engineering ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

offers the opportunity to build and scale the infrastructure powering next-generation AI solutions for industrial automation. You will work at the intersection of machine learning engineering, MLOps, and research, enabling teams to move advanced AI concepts into production faster. The position focuses on designing reliable systems, optimizing … infrastructure end-to-end, including experiment orchestration, distributed training, model tracking, evaluation workflows, and automated deployment systems. Build and scale distributed computing solutions for machine learning workloads, including multi-node GPU environments, data pipelines, and cost-efficient infrastructure management across cloud platforms. Improve research and development velocity through ...

Platforms. ( Snowflake/DBX/AWS ) 2Data Engineering/DevSecOps Cloud Platforms ( AWS/Azure ) Some other highly valued skills may include; Ai/ML, Data Architecture & MetaData management Agentic AI Engineering AI Security You may be assessed on the key critical skills relevant for success in role, such … security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage ...

align solutions with user needs. Requirements Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience … large-scale text processing. Core Competencies Demonstrates expertise in developing and implementing NLP, LLM, and generative AI approaches, with a strong foundation in machine learning and data analysis. Proficient in designing agentic workflows and hybrid search strategies to enhance model performance and deliver actionable insights. #J-18808-Ljbffr ...

platforms, cloud infrastructure, open‐source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which … trustworthy foundation for the next generation of AI‐powered products. Why This Matters Agentic systems introduce new infrastructure challenges beyond traditional software and machine learning platforms. As AI systems become capable of autonomous action, tool use, multi‐agent collaboration, and long‐running workflows, organizations require new infrastructure ...

cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will … Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management ...

Project: Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering: Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG): Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals: Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine ...

Project: Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering: Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG): Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals: Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine ...

Project: Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering: Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG): Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals: Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine ...

Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data‐driven solutions using Python and machine‐learning methods (predictive, classification, forecasting, deep learning). What You’ll Bring 6+ years’ experience in data science, analytics, or consulting. Proven … operating at manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI‐powered solutions. Proficiency in Python, machine‐learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background – leadership, commercial ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 Machine ...

small product team building a decision intelligence platform to transform how the world’s largest organisations achieve value from their data and machine learning assets by making better, faster decisions. We do this by working back from a priority set of KPIs and decisions, then codifying a business … sector, with a broad understanding of the drug development process. You have a proven track record of leading multidisciplinary teams to deploy AI/ML solutions with measurable real-world impact. You possess exceptional communication skills, with the ability to simplify complex technical concepts and foster trust with diverse stakeholders. ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...