926 to 950 of 4,114 Machine Learning Jobs in England

+ Bonus + Equity + BenefitsThe Opportunity We're supporting an innovative biotechnology organisation that is investing heavily in the next generation of data, machine learning and scientific computing capabilities.As part of a growing technology team, you will play a key role in building the infrastructure that enables … scientists, engineers and researchers to develop, deploy and scale machine learning solutions within a highly data-driven environment.This is a hands-on position suited to an experienced engineer who enjoys solving complex technical challenges across cloud infrastructure, data platforms, workflow automation and machine learning operations. ...

Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will … high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business ...

team in Cambridge working on cutting-edge machine learning projects from concept through to deployment.The Role:Research and develop innovative AI/ML solutions for challenging technical problems.Design, train and evaluate machine learning models across a variety of applications.Rapidly prototype, test and optimise new ideas.Analyse research … papers and apply the latest ML techniques.Design experiments, interpret results and present technical findings.Requirements:Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject.Commercial or research experience in Machine Learning (industry, PhD, MSc or personal projects).Strong Python programming skills.Experience with one or more ML ...

leading‐edge technologies Foster a team culture of 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 such … 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 We recognize that our people are our strength ...

work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems. Perform data analysis and data collection processes that effectively support these services. … Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative ...

delivery pipelines. Architectural Stewardship: Provide high-level technical overwatch of architectural design, ensuring system integrity during the integration of Cloud architectures and AI/ML models. Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle. … Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

worldwide.The OpportunityThe Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer … extraction workflows.Financial & Legal Domain Knowledge: Familiarity with leveraged finance, debt capital markets, credit agreements, covenant packages, bond documentation, restructuring processes, and related legal concepts.Production ML Engineering: Ability to build and operate extraction pipelines, evaluation systems, model-serving infrastructure, and monitoring for production AI workflows.Strong proficiency in Python for production ready ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead …/CD tools and processesTech Enthusiasm: Strong passion for technology and a drive to continuously learnTeam Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiastsBonus Points If You Have:Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environmentContainerisation ...

Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer … Financial & Legal Domain Knowledge : Familiarity with leveraged finance, debt capital markets, credit agreements, covenant packages, bond documentation, restructuring processes, and related legal concepts. Production ML Engineering : Ability to build and operate extraction pipelines, evaluation systems, model-serving infrastructure, and monitoring for production AI workflows. Strong proficiency in Python for production ...

collaborating with leaders across Product and Technology. Your expertise will help us translate business needs into impactful solutions, leveraging LLMs, agentic orchestration, and ML platforms. This is your chance to make a measurable impact and advance your career in a dynamic, innovative environment.As an AI Product Manager in the Corporate … evaluation sets and running quantitative and qualitative iterations to achieve reliable production quality.Familiarity with cloud and data platforms, such as AWS, data management, and machine learning tooling.Advanced degree in a relevant field.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

responsible data use Work collaboratively with Technical Engineers, Product Owners, and Solution Architects Requirements A minimum 3 years in data science, analytics, Agentic AI, machine learning or modelling is essential Proficiency in data analysis, customer analytics, building and validating models for forecasting, pricing, and segmentation and visualisation tools … e.g. Agentic AI, Machine Learning, Python, SQL, SAS, Power BI, Tableau) Experience with cloud-based data platforms (e.g. GCP native tools) Unafraid to challenge the status quo, have an intellectually curious outlook, where you seek to innovate and adapt quickly from setbacks. Apply product led thinking to reporting ...

promote new and leading-edge technologiesFoster a team culture of opportunity, inclusion, and respectRequired 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 platformsAdvanced skills in one or more programming languages such …/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobileKnowledge of the financial services industry and their IT systemsJ.P. Morgan is a global leader in financial services, providing strategic advice ...

decisions clearly to senior leadership, engineering teams, and non-technical stakeholders.Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role.Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step … giving you time to support the charities and causes that matter to you.Access to employee resource groups with dedicated time to volunteer.Access to extensive learning and development resourcesAccess to employee discounts scheme via Perks at WorkAbout the business-At LexisNexis Intellectual Property (LNIP), we believe that whenever a person ...

ResponsibilitiesBuild and lead multidisciplinary teams across:AI OperationsSite Reliability Engineering (SRE)Automation EngineeringPlatform EngineeringObservability EngineeringReliability ArchitectureCyber Resilience OperationsFoster a culture of innovation, ownership, continuous learning, and operational excellence.Influence executive stakeholders and board-level discussions regarding operational resilience and cyber risk posture.Act as a transformational leader capable of driving enterprise … cloud, engineering, AI Ops, or cyber resilience.Experience of leading large-scale global technology operations organizations.Proven track record driving enterprise transformation programs.Experience implementing AI/ML-driven operational platforms and automation frameworks.Experience leading mission-critical environments requiring high availability and operational resilience.Strong understanding of cyber security operations, vulnerability management, and risk ...

Responsibilities Responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. Demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards … solution. Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Work with customers ...

Product Manager - Enterprise Data Location London Business Area Product Ref # 10052312 Description & Requirements Enterprise Data at Bloomberg provides machine-readable feeds of news and other unstructured content, as well as AI-powered analytics, including sentiment and more. Text is at the core of what we do today, with … product development across our unstructured datasets. You’ll bring with you a few years working in a financial or technology firm in the machine learning/quantitative trading domain, along with some programming and data management skills. You’ll work alongside seasoned industry professionals, gaining personal development whilst ...

both structured and unstructured formats. Using strong critical‐thinking and problem‐solving skills, you’ll analyse and interpret data, build predictive models, and develop machine learning algorithms that generate actionable insights. You’ll propose solutions to business challenges and collaborate with other teams to implement them. Recognising … Expertise: Strong analytical capability, with proven experience in statistical modelling skills, and data interpretation Technical Skills: Proficiency in Python for data analysis, modelling and machine learning. Machine Learning: Experience building and evaluating machine learning models Education: Degree in Mathematics, Statistics, Data Science, or another quantitative ...

capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI‐powered systems. … reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross‐functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long‐term platform strategy. Define and drive engineering standards, reusable patterns, tools ...

leading-edge technologiesFoster a team culture of diversity, opportunity, inclusion, and respectRequired 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 platformsAdvanced skills in one or more programming languages such as Java …/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobileKnowledge of the financial services industry and their IT systemsJ.P. Morgan is a global leader in financial services, providing strategic advice ...

generative AI gets built and operated responsibly at scale across the firm. You will Hire, structure, and develop a team of AI/ML and agentic software engineers. Set the bar for technical quality and the culture you want them to work in. Partner directly with business partners to understand … Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms, or CI/CD for ML and LLM systems. Experience implementing responsible‐AI or AI‐governance controls such as guardrails, human‐in‐the‐loop oversight, and audit trails in production. Experience ...

based solutions into production. Using various LLM models with latest approaches (agentic, context engineering) to solve challenging problems Work end-to-end on ML solutions: from data preparation and evaluation, deployment, and monitoring Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data Collaborate with product teams … Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack). Experience with Infrastructure as Code (Terraform). Experience with Azure Experience with Machine Learning Experience in building product for the construction industry. Additional InformationOur Hiring Process 25-minute screening call Take-home challenge: A hands ...

insight for fraud prevention and underwriting decisions. You will engage in feature engineering across incoming and outgoing cash flows to model affordability, and develop machine learning models that estimate probability of default and produce fraud scorecards. You will own the full lifecycle of these models, from raw data … will partner closely with the Credit Modeling and Fraud teams to align on shared goals and infrastructure. Who you are Experience building and deploying machine learning models end to end, from raw data to production Strong feature engineering skills, ideally with transactional or financial data Proficient in Python ...

data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting. As an engineer on the team you will contribute to the full spectrum of our systems, from foundational processing and data storage … critical data replay application that directly impacts the reliability and resilience of our platform. You'll collaborate with talented engineers across Data Platform, ML Platform, and DevOps teams, working on large-scale distributed systems that matter. If you thrive in a fast-paced environment, love solving complex big data challenges ...

into tailored solutions built on the SymphonyAI platform. You will need the technical depth to credibly engage with data science teams, configure and tune machine learning models against client data, and shape proposals that win competitive deals. Job Description What you will do Pre‐Sales engagement (around … prospect data, defining success criteria, managing risks, and working alongside the prospect's users to build the business case. Configure, tune and apply machine learning models — drawing on SymphonyAI's own algorithms and selected third‐party libraries — against client transaction, customer, and behavioural data to demonstrate detection performance. ...

with marketing, creative, and technical teams to understand their data needs and deliver tailored solutio ns.Innovate with Da ta: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business grow th.Present Insigh ts: Communicate your findings to stakeholders in a clear … manner, making data relatable and actionab le.Mentor Junior Team Membe rs: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaborati on.What We’re Looking F or:Our client is seeking a talented individual with a blend of technical expertise and a flair ...