651 to 675 of 4,929 Machine Learning Jobs in England

Type Hybrid Work Hours 37.5 Responsibilities Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Qualifications Ind Standard Skills Strong expertise across data engineering tooling & platforms: pipelines, cloud DS, SQL, Python, machine learning & AI driven … environment. What you will be doing Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Set the standard for data engineering, architecture and best practice across the organisation Translate business and innovation requirements into effective technical solutions ...

coding (for example, having used code generators, scripting with AI APIs, or contributed to relevant projects) and a basic understanding of data and machine learning concepts. Familiarity with AI-assisted development tools Whilst not to be considered a tick list, we'd like you to have experience … following: Further study or certification in relevant fields (e.g. a Master's degree, or professional certifications in software development, cloud computing, or AI/ML foundations) demonstrating commitment to continuous learning. Familiarity with cloud development platforms and modern DevOps practices, such as containerization (Docker, Kubernetes) or CI/CD tools ...

experienced and passionate NLP Engineer to join our innovative team. In this role, you will leverage your expertise in natural language processing (NLP), machine learning, and data analysis to develop and refine advanced algorithms that extract valuable insights from textual data related to ESG factors. … members to enhance ESG rating methodologies, improve data processing pipelines, and optimize platform performance Stay up-to-date with the latest advancements in NLP, machine learning, and artificial intelligence to ensure the continued innovation of Sensefolio’s ESG data and analytics solutions Conduct research on emerging ESG trends ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks.* Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack.* A proven track record architecting and designing scalable solutions that ...

leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platforms Advanced skills in one or more programming languages … PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems J.P. Morgan is a global leader in financial services, providing ...

successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing and test data … through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics and machine learning. The successful candidate will play a leading role in defining and delivering this capability roadmap. In summary, the key deliverables for this role are: 1. ...

advance your career. THE ROLE The right engineer will drive the success of AMD (Advanced Micro Devices) software products, around mathematics and classical machine learning, through innovation & collaboration. You will have exposure to all the latest AMD technologies as part of the team which will deliver our next … products. Your peers will provide a results-oriented and encouraging environment to solve challenging technical problems and grow your career. KEY SKILLS Classical Machine Learning, Data Science, Numerical Algorithms and C/C++ ACADEMIC CREDENTIALS Master's degree or PhD in Mathematics, Statistics, Data Science or equivalent ...

enhancing production workflows across our 2D division, covering Compositing, Paint & Roto, Editorial, and Review Tools. From building robust Python tools to pioneering practical machine learning integrations (such as Switchlight, SAM3, and ComfyUI workflows), you'll help automate complex tasks and streamline shot delivery. Working closely with artist supervisors … grounded, production-focused approach. What you’ll do Develop, test, and maintain artist-friendly Python and PySide tools across our 2D workflows. Integrate practical machine learning solutions into our active pipeline to automate complex tasks and accelerate shot delivery. Collaborate closely with Compositing Supervisors, VFX Supervisors, and Heads ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

range of operational, systems and technology projects, including ERP system VAT optimisation, process, controls, and supply chain, whilst also working with innovative technologies including machine learning and AI. The indirect tax transformation team works with a variety of organisations across all sectors. The business has been growing year … reporting lifecycle and the data used throughout Good understanding of technologies such as: SQL/CDS views, cloud computing, AI/ML Experience working with data originating in Microsoft Dynamics 365, SAP and/or Oracle Previous experience with consulting firms What Working At EY Offers We offer a competitive ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

coding (for example, having used code generators, scripting with AI APIs, or contributed to relevant projects) and a basic understanding of data and machine learning concepts.Familiarity with AI-assisted development toolsWhilst not to be considered a tick list, we’d like you to have experience in some … following:Further study or certification in relevant fields (e.g. a Master's degree, or professional certifications in software development, cloud computing, or AI/ML foundations) demonstrating commitment to continuous learning.Familiarity with cloud development platforms and modern DevOps practices, such as containerization (Docker, Kubernetes) or CI/CD tools ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks. Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack. A proven track record architecting and designing scalable solutions that ...

Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

deployment. Work closely with marketing, creative and technical teams to understand business requirements and develop data-driven solutions. Apply advanced statistical techniques and machine learning to identify trends, patterns and opportunities. Translate complex analysis into clear, actionable insights for both technical and non-technical stakeholders. Present findings … related discipline, ideally within marketing, advertising or another data-driven environment. Technical Skills: Strong Python, R and SQL skills, with experience using machine learning frameworks such as TensorFlow or Scikit-learn. Analytical Skills: Strong statistical and analytical capability, with the ability to interpret complex datasets and identify meaningful ...

million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises … Qualifications Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science ...

million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises … Qualifications Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

Biometric Research Scientist/Actuary to support research into mortality, morbidity, and disability risk. Working with large longitudinal datasets, you will apply statistical and machine learning techniques to understand the impact of medical, behavioural, demographic, and socio-economic risk factors. Your insights will help inform underwriting innovation, risk … validate, and analyse large longitudinal datasets from insurance, underwriting, claims, health, and related sources in collaboration with Strategic Analytics team members. Develop statistical and machine learning models to quantify mortality, morbidity, and disability risk. Apply techniques such as survival analysis, experience investigations, predictive modelling, and risk factor analysis. ...

leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering—building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises … both remote and in-person team members and stakeholders The Team You’ll join a high-performing engineering team working on a large-scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across ...

Remain hands-on with architecture, technical design and implementation. Provide technical leadership across complex data initiatives. AI & Innovation Drive the adoption of Generative AI, Machine Learning and Intelligent Automation. Develop innovative solutions that create measurable business value. Evaluate emerging technologies and identify practical commercial applications. Embed responsible … enterprise-scale data platforms. Strong expertise in Microsoft cloud data technologies. Experience implementing Data Governance and Data Quality frameworks. Demonstrable success delivering AI, Machine Learning or Advanced Analytics initiatives. Excellent stakeholder management and communication skills. Experience operating in fast-paced, growing organisations. Strong commercial awareness with a focus ...

projects.* Provide technical guidance and support to junior analysts.* Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.* Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop … need*** Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering).* Solid experience in data analysis, machine learning, and AI development.* Hands-on experience with cloud-based AI platforms and tools.* Proficiency in programming languages such as Python and SQL. ...

Biometric Research Scientist/Actuary to support research into mortality, morbidity, and disability risk. Working with large longitudinal datasets, you will apply statistical and machine learning techniques to understand the impact of medical, behavioural, demographic, and socio-economic risk factors. Your insights will help inform underwriting innovation, risk … validate, and analyse large longitudinal datasets from insurance, underwriting, claims, health, and related sources – in collaboration with Strategic Analytics team members. Develop statistical and machine learning models to quantify mortality, morbidity, and disability risk. Apply techniques such as survival analysis, experience investigations, predictive modelling, and risk factor analysis. ...