376 to 400 of 1,802 Machine Learning Jobs in the UK excluding London

York. In this role, youll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate business … successful in this role, were seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding of how AI can be embedded ...

business requirements and translate them into effective technical solutions Producing high-level solution designs and detailed technical designs Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data Contributing to technical standards, development practices and continuous improvement across the wider data function … simply building pipelines. You’ll work across ingestion, engineering, modelling, reporting and analytics, while also having the opportunity to contribute to newer AI and machine learning initiatives. You’ll join a collaborative data team where you can take ownership of projects, influence technical approaches and help shape ...

general. As a Lead Data Scientist within Marketing Science at NEXT, you will build data driven solutions through state of the art machine learning, causal inference and experiment design to measure true impact and make impactful recommendations to the business. As a Lead you manage … PySpark and dashboarding in PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning, statistics, econometric modelling,analytical and problem solving skills Strong communication skills with the ability to translate complex data insights into actionable business strategies. ...

such as Microsoft Fabric. Produce curated data models for analytical tools including Power BI. Support the development of statistical and predictive data models, including machine learning use cases where relevant. Maintain and enhance the organisation's data and analytics platform to ensure performance, reliability and scalability. Identify opportunities … frameworks and best practice. Good understanding of data architecture principles and concepts such as medallion architecture, star schemas and slowly changing dimensions. Awareness of machine learning techniques and their application within a data environment would be beneficial. Knowledge of GDPR, data governance and data protection best practice. Understanding ...

other engineers to develop sensing and imaging terahertz solutions. As a Backend Software Engineer you'll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You'll be using a Python based tech stack but with constantly evolving … have experience with embedded software and/or IoT You are comfortable in an R&D environment You have an interest and understanding of Machine Learning and AI You are degree educated in a relevant STEM discipline You're collaborative, comfortable with Pair Programming and mentoring more junior ...

knowledge of motor insurance pricing, burn cost modelling, rating structures, underwriting risk and claims cost drivers, with experience of statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Pricing Technology & Data Platforms: Proficiency in pricing and data tools such as WTW Radar, Databricks … numerical capability, with strong attention to detail and the ability to challenge assumptions, methods and outputs. Experience using statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Proficiency with pricing and data tools such as WTW Radar, Databricks, Python, PySpark, SQL or similar ...

management in a regulated environment. Help shape the Microsoft Azure and Databricks data science environment, including the organisation's approach to deploying and managing machine‐learning models. Develop practical AI and external data strategies, prioritising opportunities supported by clear business cases. Build and develop the internal data science … diligence discussions by articulating the organisation's capability, progress, governance and future roadmap. Skills and Experience Significant, demonstrable experience in data science, machine learning, predictive modelling or a closely related discipline. Deep practical expertise across the complete model lifecycle, from data preparation and development through to deployment ...

pipelines and reusable data assets using Microsoft Fabric and Databricks. Designing scalable lakehouse data models and governed datasets. Conducting exploratory data analysis and developing machine learning models. Applying NLP, entity resolution and information extraction techniques to document-heavy datasets. Deploying analytical solutions into production through APIs, pipelines … skills, with strong PySpark experience Hands-on expertise with Microsoft Fabric and Databricks. Experience building production-grade data pipelines, reusable data assets and machine learning solutions. Experience communicating technical concepts and business impact to non-technical stakeholders. Experience with Git, testing frameworks, APIs and CI/CD practices. ...

Description This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning … specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through click apply for full job details ...

develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets to uncover trends, patterns and opportunities Build and deploy advanced analytics and machine learning models Collaborate with data engineering teams to shape data pipelines Lead, mentor and develop a team of analysts Work closely with senior … Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part of a high-impact, growing analytics ...

complex data insights into tangible business value. Responsibilities: Optimise Fraud Detection: Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules. Enhance Payment Performance: Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs. Drive … automation. Requirements: Proficient with SQL & Python Proficient in a data visualisation software (Tableau/Looker/PowerBI/e.t.c.) Experience using a variety of machine learning algorithms Able to communicate effectively; using data to tell a story and drive business change Experience within Google Cloud preferential THG Ingenuity ...

often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder combines analytical rigour with … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

clinical data. The post holder will contribute to ongoing research projects aimed at improving cancer diagnosis, prognosis, and treatment through innovative use of machine learning and AI techniques. Key responsibilities include designing and implementing analytical pipelines, integrating diverse datasets, contributing to study design, and interpreting results … closely related discipline For Research Fellow level: significant postdoctoral research experience and a strong publication record Required Expertise/Skills Experience in machine learning, artificial intelligence, or statistical modelling applied to biomedical or imaging data Strong programming skills (e.g., Python, R, or similar) Experience working with large-scale ...

possible thereafter. This is a fixed-term, five-year post. The appointee will have strong computational skills, with experience in developing, adapting, or evaluating machine-learning systems. We envisage that the appointee's research will focus on one of the three research topics below, but are open … music's proven capacity to enhance such mechanisms as emotion induction, memory stimulation, and physical entrainment Applicants should have a relevant PhD in machine learning, computer science or a related discipline and a record of, or clear potential for, outstanding research. We seek a scholar of disciplinary depth ...

looking for a junior cheminformatics scientist to join a Genetic Medicine team. You'll use computer-based chemistry methods and AI/machine learning to help explore and design lipid molecules used in targeted lipid nanoparticles (a type of drug-delivery particle). You'll help build … looking for patterns that affect how well they work. Help build and improve a virtual library of lipid designs, using data analysis, AI/ML tools, and chemical know-how. Build and test models that predict how a lipid's structure affects its real-world performance. Create processes to select ...

extraordinary developer experience across command-line tools, Python, Jupyter notebooks, IDEs, CI and AI coding agents. Help developers use Arm's tooling within familiar ML frameworks including PyTorch. Prioritize capabilities that increase model compatibility with Arm accelerators, ensuring that developers can benefit during pre-or-post Silicon. Turn UX research … product and market data into roadmap decisions. Incorporate groundbreaking approaches to agentic model optimization, including safe and reproducible automation. Develop partnerships with ML frameworks, runtime providers, silicon partners and accelerator vendors. Required Skills and Experience : Are you motivated by translating technical challenges into clear product decisions? If you are comfortable ...

Workplaces list. about what it’s like working at Capital One UK. About the Role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group … solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we’re looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Familiarity with Open Banking or Credit Bureau data. Experience in producing reliable ...

Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns … impact Your Skills & Experience Strong commercial experience in Data Science, delivering end-to-end projects Proficiency in Python, with solid SQL skills Experience applying machine learning and statistical techniques to business problems Exposure to deploying models into production environments Understanding of cloud platforms such as GCP or Azure ...

topics for customers across the defence, security and commercial sectors. The Data Applied Research group has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs and graph based neural nets, AI for RF and EW, sonar and acoustics and you will have the opportunity to work … obtain, a 2:2 in your undergraduate degree in a relevant STEM subject such as Computer Science, Data Science (DS), Machine Learning (ML), Artificial Intelligence (AI), Robotics, Electronic/Electrical/Aerospace Engineering and Physics. An AI related Masters degree will also be beneficial for future Graduate roles. ...

novel analogs. Apply cutting-edge molecular modelling approaches including docking, molecular dynamics, QM, free energy calculations, and property optimizations. Apply AI generative models and machine learning methodologies to design and optimize new molecules. Communicate findings in team and project meetings PhD (or equivalent experience) in Computational Chemistry, Medicinal … multidisciplinary environment. Programming or scripting skills (e.g. Python, R, or Bash) for workflow automation or data analysis. Experience with simulation-based methods and machine learning approaches. Familiarity with fragment-based drug discovery (FBDD). Experience of working in drug discovery teams Why Astex We offer excellent training ...

building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage … pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding ...

platforms. The successful candidate will combine experience in applied AI, business analysis, process improvement and stakeholder engagement. They will not be expected to build machine learning models, but they will need to understand how AI can be applied responsibly to improve business outcomes. Key Responsibilities Ogier is looking … platforms. The successful candidate will combine experience in applied AI, business analysis, process improvement and stakeholder engagement. They will not be expected to build machine learning models, but they will need to understand how AI can be applied responsibly to improve business outcomes. Skills, Knowledge and Expertise Identify ...

while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using … across model development or strategy Strong SQL skills alongside Python or SAS (Python preferred) Experience with statistical modelling techniques such as logistic regression or machine learning Excellent communication skills with the ability to present to clients and senior stakeholders THE BENEFITS Up to £75,000 salary Hybrid working ...

risk models, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a team of outstanding researchers in cloud compute architecture design and event-triggered computing to work with … England. SONNETS is an interdisciplinary project; we are open to work with researchers with varying academic backgrounds. Those with experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as well as others with related ...

understanding industry trends like generative AI and developing our future computing devices that will power artificial intelligence. This touches all aspects of computing including machine learning, but also security, energy efficient performance, and software ecosystems. Responsibilities: As a member of a versatile team, you will work closely with … communicate clearly with both expert and non-expert audiences. “Nice To Have” Skills and Experience : Arm architecture fundamentals. Vector processing and parallel programming. Machine learning, agentic AI. Robotics & Simulation Frameworks. Architecture performance analysis and optimisation In Return: In addition to a competitive salary and comprehensive rewards package ...