376 to 400 of 856 Machine Learning Jobs in the UK excluding London

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...

ability to work independently across multiple concurrent pr ojectsDes irableExperience with MACH architecture applic ationsOmni-channel commerce expe rienceExposure to customer lifecycle management, CDP, ML, or data lakesKnowledge of search, SEO, web analytics, order management, payments, or fulf ilmentFamiliarity with CMS, DAM, PIM, or inventory management pla tformsUnderstanding of event ...

enablement, or user-adoption strategies for newly launched enterprise tools. Ability to foster user engagement through training , workshops, and user-friendly documentation. AI/ML Program Exposure: Experience delivery-managing data pipeline readiness, ELT/ETL architectures, and data preparation specifically geared toward AI model integration Technical Fluency: A strong ...

executive audiences Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services Contribute to technical planning, architecture decisions, and incident retrospectives Platform & Product Mindset Apply product thinking ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

technologies in line with enterprise policies. Continuously explore emerging AI capabilities to enhance delivery outcomes. Skills & Experience: Experience with AI/ML workflows and document intelligence solutions. Strong programming skills (Python, APIs, data processing frameworks). Experience with cloud-based AI services and scalable architectures. Understanding of model validation, accuracy … lifecycle management. Experience integrating AI into enterprise systems. Experience developing and deploying AI or machine learning solutions. Strong programming and analytical skills. Understanding of model validation, performance, and governance. Experience integrating AI into production systems. Experience working in Agile/DevOps teams. Degree in Artificial Intelligence, Computer Science ...

Analytics Officer, this is an opportunity to become the operational right-hand to a senior leader driving transformation across Data Engineering, Analytics, BI and Machine Learning. This isn't a traditional project coordination role. You'll be responsible for bringing structure, pace and accountability to a technically ambitious team … What you'll be doing: • Managing end-to-end delivery of data and analytics projects • Coordinating work across Data Engineering, BI and AI/ML teams • Running Agile ceremonies and delivery governance • Managing project plans, RAID logs and stakeholder communications • Removing blockers and driving accountability across teams • Translating technical progress ...

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 ...

optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions … Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest ...

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 ...

manufacturing operations. PRIMARY DUTIES & RESPONSIBILITIES. Design, implement, and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System … Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated ...

understand data capture mechanisms and pipelines Contribute to shaping the technical roadmap and direction of the product Explore opportunities to leverage AI/ML techniques (including LLM-related approaches where relevant) Scale solutions from prototype through to production Key Requirements Proven experience as a Data Scientist within … from hardware or IoT/wearable devices Ability to operate with limited direction and take ownership of solutions Strong programming skills (e.g. Python, relevant ML libraries) Experience deploying models into production environments What’s on Offer Salary of £60,000 – £90,000 Opportunity to join a high-growth AI company ...

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 … Required ExperienceEssential 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 ...

customers’ business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers – we seek to ideate and bring to life what’s next for our clients. The Focus Of Your Role and What … multiple full lifecycle implementations A passion for data and insights Expert knowledge of BI, visualisation and storytelling concepts A desire to broaden your skillset, learning and utilising other tools as required Knowledge and experience of data warehousing concepts and SQL are desirable Experience in interfacing with senior client stakeholders ...

world’s most used provider of business credit reports with coverage of more than 430 million businesses worldwide. We deliver actionable intelligence powered by machine learning, AI, and connected data to help companies grow, thrive, and identify opportunities. Founded in 1997, we have offices in 16 countries serving … Annual Leave (plus bank holidays). Hybrid working model. Healthcare & Company Pension. Cycle to work and Wellbeing Programme. Global Company gatherings and events. E-learning and excellent career progression opportunities. Plus more that can be found on the benefits section on the Careers page, https://careers.creditsafe.com/ ...

Campus 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 ...

require all candidates to be willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

some of the UK's most important defence, intelligence and cyber programmes. You'll join teams delivering cutting-edge capabilities across DevSecOps, Artificial Intelligence, Machine Learning, Cyber Security and Geospatial Intelligence, working with modern technologies in complex operational environments.Due to the nature of the work, candidates must alreadyhold ...

Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling ...

reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable ...

Develop a future workforce platform using Backendless, Azure, and BaaS (Backend-as-a-Service) solutions Work on AI-powered automation, including chatbots and machine learning solutions Expand automation initiatives into other departments, such as finance, procurement, and clinical workflows Grow into leadership roles, such as Senior Digital Developer ...

scalability are essential Technology Environment The engineering stack includes: Python C++ Linux Distributed Systems Cloud Infrastructure Data Platforms Market Data Technologies Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering. Required Qualifications ...

Automation Development Research and evaluate emerging AI technologies and tools. Design and implement AI-driven solutions to improve business operations. Develop workflows using AI, machine learning, automation platforms, and low-code/no-code tools. Identify repetitive tasks and create automated solutions to reduce manual effort. Software & Application ...

Automation Development Research and evaluate emerging AI technologies and tools. Design and implement AI-driven solutions to improve business operations. Develop workflows using AI, machine learning, automation platforms, and low-code/no-code tools. Identify repetitive tasks and create automated solutions to reduce manual effort. Software & Application ...