726 to 750 of 4,045 Machine Learning Jobs in England

performance against targets, flagging trends and anomalies early.Collaborate across channels and teams. Work with analysts on CRM, Display, and Affiliate Marketing, as well as ML colleagues, to spot opportunities where search insights connect to the bigger marketing picture.Bring an AI-curious mindset to the work. Look for opportunities … something ranks, why traffic moved, and what it means for the businessA true team player — you work well with analysts from other channels, ML colleagues, and stakeholders across the business, and you're generous with your time and ideasGenuinely interested in AI — you've played with AI tools yourself ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In‐depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience ...

geographical areas (Europe, Americas, Asia, Africa and Oceania). Role: Statistical data processing (Data Mining) Artificial Intelligence (AI), including generative AI Predictive modeling using Machine Learning and Data Science techniques Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo) Development, validation and audit ...

within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications What you can expect ðWork to agile … inventory solutions, model risk management platforms, or GRC technologies.Experience with data governance, privacy, cyber security, model risk management, or technology risk disciplines.Knowledge of machine learning and Generative AI technologies, including Large Language Models (LLMs).Possession of relevant certifications such as ISO 42001 Lead Implementer/Auditor, IAPP AIGP ...

including an understanding of Company Financials, Bloomberg Terminal fluency, and/or Bloomberg Data WorkflowsFamiliarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language ProcessingAgile/Scrum Project Management experienceIf this sounds like you:Apply! If you think ...

their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.Joining our advanced data science team, you’ll be responsible for the ongoing ...

from data Experience translating complex analysis into clear business recommendations Experience creating dashboards and data visualisations that effectively communicate insights Understanding of predictive analytics, machine learning and AI applications (desirable) Experience using AI-enabled tools and workflows to enhance analytics, automation and insight generation (e.g. Copilot, Codex, Claude ...

their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients. Joining our advanced data science team, you'll be responsible ...

will contribute to our agenda to transform the investment bank into a data-driven business, promoting change through state-of-the-art AI and machine learning techniques. This is a hands-on, implementation-focused role, and we are looking for someone with proven experience designing and building scalable ...

business stakeholders. Experience designing scalable cloud architectures and integrating with enterprise systems. Familiarity with common LLM frameworks and tools or a background in machine learning or data science. Excitement for engaging in cross‐organizational collaboration, working through trade‐offs, and balancing competing priorities. A love of teaching, mentoring ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In-depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. Metrics & Analytics Platforms, within The Core Engineering, is responsible for the measurement and management of the firm’s risk ...

including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile)In-depth knowledge of the financial services industry and IT systemsPractical cloud native experiencePreferred Qualifications, Capabilities, and Skills:Experience with ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

scale our data engineering pipelines, specifically handling high-resolution geospatial and climate datasets. You’ll partner closely with our data scientists to integrate machine learning models and LLM workflows, helping to automate underwriting insights and power our real-time risk dashboard. You’ll make critical architectural decisions ...

such as CI/CD, Application Resiliency, and SecurityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Proficiency in Object oriented concepts, Design Patterns, Java, Spring, is essentialPreferred qualifications, capabilities, and skillsExposure to cloud technologies and building ...

scale AI-powered systems that solve unique challenges for global clients. This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation.What you'll be doing:Creating reliable, reusable, and scalable frontend ...

sales lifecycle in a technical pre‐sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform ...

interactions and sales lifecycle in a technical pre-sales capacity.You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence ...

science capabilities to firm, practice group and client priorities Accountable for the architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment Ensure the platform ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

on.Fluency with large, complex behavioural datasets and the craft to work with them at scale: Python, SQL, and distributed processing (e.g. PySpark), plus standard ML tooling as the work requires.Excellent stakeholder communication: you can make a rigorous causal argument land with a non-technical commercial audience and move a decision.A … strong quantitative academic background, typically a Master's or PhD.Nice to Have:Experience with incrementality and uplift modelling, or with experimentation frameworks.Reinforcement learning or contextual-bandit decisioning, and offline evaluation for recommendation or decisioning systems.Background in gaming, e-commerce, or subscription businesses.Experience deploying and maintaining business-critical or consumer ...

Will Do Build, test, and ship features for products in active use by energy companies worldwide Debug and fix defects in production systems, learning how large-scale applications behave under real conditions Write and maintain automated tests as part of the team’s standard delivery workflow Participate in code … data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates from ...

enable our data driven approach, and:Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.Help define ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...