426 to 450 of 950 Machine Learning Jobs in the UK excluding London

transitioned into production by engineering teams. Exploratory Data Science & Modelling Explore structured and unstructured datasets to identify patterns and opportunities Build proof-of-concept ML and statistical models Apply NLP and semantic techniques to classify, compare and relate text data Test and evaluate different modelling approaches NLP & Text Analytics Work … Strong experience as a Data Scientist or Applied Data Scientist Hands-on experience with NLP and text analytics Strong understanding of statistical modelling and ML techniques Experience building prototypes/PoCs rather than purely production systems Python (or R) for data science and modelling Familiarity with techniques such as embeddings ...

JPMorganChase in the United Kingdom is seeking a Software Engineer III to build and ship production AI-enabled software across the full stack, with a focus on Python backend services, APIs, and multi-cloud deployments. ...

engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives … models A practical and commercially minded approach to Data Science Nice to have: Cloud exposure (GCP or Azure) Experience with Vertex AI or Azure ML THE BENEFITS Up to £50,000 HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply ...

report progress and issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist Execute the application of machine learning and statistical modelling tools suited to the identified initiative. You'll be skilled at storytelling, being able to explain the generated solution … Given the pace of change in new technologies and techniques, you'll show commitment to keeping your own knowledge up to date through self-learning, and be supported with opportunities to complete relevant courses, attend industry events, and obtain technical certifications. You'll also be given the opportunity ...

consultancy Collaborative, multidisciplinary teams across product, data, engineering and delivery The chance to influence product strategy and organisational decision-making Ongoing professional development and learning opportunities A supportive and inclusive culture that values innovation and expertise Flexible and hybrid working arrangements Key Responsibilities of a Lead Product Manager (Data … discovery and delivery A passion for mentoring, coaching and developing others Desirable Experience Cloud-based data platforms including AWS, Azure or Google Cloud AI, Machine Learning or advanced analytics products Consultancy, government or regulated industry experience Experience using outcome-based delivery frameworks such as OKRs Apply for This ...

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 ...

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 ...

Monzo is seeking a Lead Machine Learning Scientist for its FinCrime team. You will lead development and deployment of advanced ML models to detect financial crime, protecting customers while optimising costs. The role includes mentoring others and collaborating with product managers, engineers and designers in an agile setting. … will work on real-time models, including neural networks and graph-based architectures, and help drive ML tooling and practices across the team. #J-18808-Ljbffr ...

Site) Salary: up to £54,000 per annumStudy Group attracts a diverse, international student body seeking high-quality teaching, combined with an industry-focussed learning experience and strong employability opportunities within London’s dynamic, professional environment.The University of Huddersfield London Campus is an exciting new academic institution … London Campus. ABOUT THE ROLE Design teaching material and deliver across a range of modules or within a subject area using appropriate teaching learning support and assessment methods to ensure student’s progress Design, mark and give feedback on appropriate formative and summative assessments, providing opportunities for students ...

United States Digital Space LLC is building a multinational Machine Learning Hardware Architecture team in Cambridge to craft the direction of ML technology. You will develop tools that expose hardware features and evaluate performance, collaborating with hardware architects to define software interfaces for new features. The role emphasizes ...

simulation software Cloud platforms such as AWS (including EKS) or Azure Containerisation tools such as Docker or Kubernetes Full stack development (Vue, TypeScript, Django) Machine learning or AI pipeline development Experience with engineering, scientific, or simulation-driven applications (e.g. CFD/FEA) What Next ...

Analytics Customer Insights CRM Billing & Charging BSS/OSS Digital Channels & Self-Service APIs & Systems Integration Cloud Data Platforms (AWS, Azure or GCP) AI, Machine Learning or Advanced Analytics Key Skills Product Strategy Product Roadmaps Scrum Agile Delivery Data Products Data Platforms Customer Data Analytics Product Discovery Backlog ...

Azure DevOps, Git, APIs, and Agile methodologies Desirable: Microsoft Fabric Azure Data Factory Azure Functions Power Apps Power Automate SSRS/SSIS AI and Machine Learning exposure. Why Join Us? At Ascent, we pride ourselves on creating a supportive, inclusive, and collaborative environment where your contributions truly make ...

projects. About You You’ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Proven ...

architecture, development, integrations, security and operations. You'll work alongside two developers, one focused on full stack delivery and one focused on AI and machine learning features, while still writing code yourself, owning the Azure DevOps and AKS infrastructure, and setting the technical direction as the business works ...

making platforms measurably better, you’ll find meaningful impact and growth here. As a Senior Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

platforms, with enough technical fluency to partner effectively with engineering and analytics teams. Some other highly valued skills may include: Experience applying AI and machine learning within enterprise‐scale products. Background in financial services or other highly regulated industries where data products are central to business value. Familiarity ...

automation, CI/CD and DevSecOps. Data and AI adoption. Experience of leading data-enabled services and introducing emerging technologies, including artificial intelligence or machine learning, with appropriate attention to governance, assurance, security and ethics. Commercial and supplier awareness. Experience of working with third‐party suppliers and platform ...

approach to discovering new pharmaceuticals. As a Solution Architect, you will champion the adoption of modern pharmaceutical development systems including High Performance Computation, AI & Machine Learning, Electronic Lab Notebooks, and Laboratory Execution systems to enable drug discovery and development in areas such as bioinformatics, computational chemistry, genomics ...

team within AI Foundations. We build the shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery‐focused team that sits ...

effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability ...

product performance analysis. • Build recommendation models, segmentation solutions and AI-powered product features. • Develop lightweight data products, automation and proof-of-concepts. • Apply ML and LLMs to improve customer experiences and internal workflows. • Present clear, data-driven recommendations to senior stakeholders. Requirements • 6+ years' experience in Data Science/Decision ...

Analysts, and commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. ...