651 to 675 of 4,046 Machine Learning Jobs in England

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications.Your Role in the TeamIn this role, you will play a key part in driving the development … completed degree in Computer Science, Business Informatics, or a comparable qualificationSeveral years of professional software development experience, ideally with initial experience in AI/ML as well as cloud deployment (GCP or Azure)Very good programming skills in Python or Java/Kotlin, as well as experience with frontend technologies ...

Data Control Manager, you will help shape the future of data, privacy, Artificial Intelligence/Machine Learning (AI/ML) governance, analytics management, and operational risk at JPMorganChase. You’ll join a collaborative, agile team where your expertise is valued, your voice is heard, and your career ...

products and services, and delivers outstanding experiences to customers.This is a hands-on role where you'll design, develop and deploy advanced data science, machine learning and AI solutions. Working alongside data engineers, architects, product owners and senior business stakeholders, you'll help shape the future of data … across BT Networks while delivering measurable business value.You'll join a collaborative team that embraces innovation, experimentation and continuous learning, giving you the opportunity to work with cutting-edge technologies and make a meaningful impact at scale.What you’ll be doingDesigning and developing advanced data science, machine learning ...

Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. What you will be doing Focus on the hardening of environments and ensuring policies are planned and enforced Implement and advocate ...

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 ...

lead, develop, and empower our Data and AI teams. This role balances leadership with technical excellence; you’ll define how data, analytics, machine learning, and generative AI enable the wider business. You’ll work closely with senior stakeholders, translating business objectives into a clear Data and AI strategy … measure the impact of Data and AI initiatives, data quality, model performance, adoption, and team effectiveness Drive best practices across data engineering, analytics, machine learning, data governance, experimentation, model monitoring, and responsible AI Ensure that AI solutions are robust, explainable, compliant, and aligned to business outcomes Support career ...

hear from you.Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive … 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 deployable solutionsCollect, analyze ...

hear from you.Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive … 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 deployable solutionsCollect, analyze ...

DescriptionContribute to building and evolving the platform (infrastructure + reusable abstractions) that standardises data engineering workloads (batch/streaming pipelines, data processing) and traditional ML workflows (feature engineering, training, batch/real-time serving) across teams Implement platform-level IaC, CI/CD, and environment management to support consistent, reproducible … prod Build and maintain components using Python and Spark for data processing, shared datasets, and platform services Contribute to shared services for data and ML lifecycle management (data pipelines, experiment tracking, versioning, lineage, permissions), aligned to enterprise governance (e.g. Unity Catalog) Support the implementation and operation of a centralised AgentOps ...

ideal candidate will have strong Python development, ETL experience, and familiarity with SQL, cloud, DevOps, Agile delivery, and emerging AI technologies such as machine learning and LLMs. #J-18808-Ljbffr ...

data, and innovation testbeds. Your role will involve analysing and visualising data; developing analytical models and prototypes; supporting the application of artificial intelligence and machine learning techniques; and communicating findings to both technical and non-technical audiences through reports and presentations. You will work as part of multidisciplinary … teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Key Responsibilities Proven experience in applying data science in an industry ...

data, and innovation testbeds. Your role will involve analysing and visualising data; developing analytical models and prototypes; supporting the application of artificial intelligence and machine learning techniques; and communicating findings to both technical and non-technical audiences through reports and presentations. You will work as part of multidisciplinary … teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Key Responsibilities Proven experience in applying data science in an industry ...

integration challenges. Excellent stakeholder management and communication skills. Experience enabling analytics, reporting, and self-service data capabilities. Understanding of emerging technologies including AI, machine learning, real-time analytics, and data lakes. Desirable Experience Experience with Hadoop, Spark, Kafka, or similar big data technologies. Exposure to advanced analytics … machine learning solutions. Relevant certifications such as CDMP, Azure Data Engineer, or AWS Data Analytics. Experience working within large-scale infrastructure, asset-intensive, or highly regulated environments. #J-18808-Ljbffr ...

define and invent cloud-native reference architectures across a range of use cases - including Generative and Agentic AI (and its application to Agentic Commerce), Machine Learning, Serverless and container-based architectures, Data and Analytics, DevOps and Security - and turn delivered solutions into reusable assets that other Solutions Architects … advocacy for customers who want a deeper support relationship• Specialists across many technical domains - bring deep expertise in areas such as AI/ML, data & analytics, security, networking and more, on tap when you need themAs the Solutions Architect, you connect the technical dots across this team ...

programme but typically include: Designing and developing AI-powered applications using Python, TypeScript or similar technologies Building solutions using Large Language Models (LLMs), Machine Learning and other AI techniques to solve complex operational challenges Developing secure, scalable software for classified environments Supporting solution architecture and technical design across … Active UK eDV Clearance Experience developing software using Python, TypeScript or similar programming languages Strong understanding of Artificial Intelligence, including modern LLMs and traditional Machine Learning techniques Experience designing and delivering software solutions across the full development lifecycle Strong problem-solving skills with the ability to work ...

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 ...

culture within OTCR.Key ResponsibilitiesData Analysis & ModellingConduct in-depth exploratory data analysis to identify trends, patterns, and anomalies across diverse datasets.Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP).Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments.Ensure … functions, and regions to deliver large-scale OTCR programmes.Balance regulatory, operational, and business priorities to ensure sustainable value delivery.Skills and ExperienceAdvanced statistical modelling and machine learning expertiseExperience in Operational, Technology, or Cyber Risk analyticsStrong data management, governance, and lineage capabilitiesAbility to translate complex analytics into business insights ...

manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case.We're building for scale, and that scale brings ambiguity, shifting … proven track record of driving growth within large, complex, regulated organisations.Key ResponsibilitiesLead a team centred on a .NET back end, with front-end and machine learning components, helping engineers establish and validate their understanding of technical architecture and design end-user-centric systems and tools.Own predictable, high-velocity ...

Responsibilities Data Analysis & Modelling Conduct in-depth exploratory data analysis to identify trends, patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk … deliver large-scale OTCR programmes. Balance regulatory, operational, and business priorities to ensure sustainable value delivery. Skills and Experience Advanced statistical modelling and machine learning expertise Experience in Operational, Technology, or Cyber Risk analytics Strong data management, governance, and lineage capabilities Ability to translate complex analytics into business ...

execute a clear AI roadmap aligned with the organisation’s broader business objectives.Lead AI Delivery Oversee the full life cycle of AI and machine learning solutions, from ideation through to deployment and scaling.Team Leadership & Development Lead, manage, and grow a high-performing AI team, driving a culture … including efficiency gains, revenue growth, and enhanced customer experience.Skills & ExperienceEssential: Proven experience leading and managing an AI or data science teamStrong expertise in AI, machine learning, and advanced analyticsDemonstrated experience delivering AI solutions within a commercial or enterprise environmentExperience developing and implementing AI strategies at a senior levelExcellent ...

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. ...

platforms including Azure , AWS or Google Cloud . Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns. Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices. Experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). Knowledge of Enterprise Architecture … innovation with the ability to balance technical excellence against commercial delivery. Technical Experience You'll ideally have experience across a combination of: Generative AI Machine Learning Intelligent Automation Microsoft Power Platform Azure/AWS/Google Cloud APIs & Microservices SQL & NoSQL Databases DevOps & CI/CD MLOps Enterprise ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … engineers to 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 with generative ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … 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 ...

learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models. It now needs the engineering capability to deploy … models. Deploy models in real-time and batch environments. Develop CI/CD pipelines that automate model testing and deployment. Help automate the full ML lifecycle, from dataset creation and training through to evaluation, deployment and monitoring. Build and improve the company's model registry. Monitor production ML services ...