1,001 to 1,025 of 2,827 Machine Learning Jobs in England

stories and functional documentation. Strong stakeholder management and communication skills. Experience working within Agile delivery environments. Desirable Experience: Exposure to AI, Generative AI or Machine Learning projects. Experience working alongside Data Engineers, Data Scientists or Analytics teams. Understanding of data pipelines, governance and modern cloud technologies. Industry experience ...

stories and functional documentation. Strong stakeholder management and communication skills. Experience working within Agile delivery environments. Desirable Experience: Exposure to AI, Generative AI or Machine Learning projects. Experience working alongside Data Engineers, Data Scientists or Analytics teams. Understanding of data pipelines, governance and modern cloud technologies. Industry experience ...

/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver impactful ...

issues and identify innovative solutions. Desirable Degree in Computer Science, Information Systems or a related discipline, or equivalent experience. ITIL Foundation certification. Experience with machine learning concepts or supporting data science initiatives. Knowledge of Agile delivery methodologies. What We Offer Salary of £60,000 per annum. Hybrid working ...

agentic systems. Visa sponsorship available for UK-based candidates (must be exceptional) If you're driven and passionate about the new generation of Machine Learning and AI and want to play a pivotal role in developing the Generative AI function of a leading organisation, it'd be great ...

/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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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,withinThe Core Engineering, isresponsible for the measurement and management of the firm’s risk, capital ...

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 ...

high-pressure production incidentsDesired* Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis* Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions* Hands-on experience with containerization technologies such as Docker and Kubernetes ...

commuting distance of London, able to work 1–2 days a week from our central office. Nice to have Experience building, deploying, and maintaining machine-learning pipelines in production (the maintenance matters as much as the building). Experience with Retrieval-Augmented Generation, and with vector or graph ...

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 ...

both technical and non-technical audiences. You’ll stand out if you bring Championing a data mindset across the org. Applying advanced analytics/machine learning techniques to real-world datasets. IDE automation and AI tooling (Cursor, Claude, Copilot, Vertex, Gemini, etc.), LLM integrations applied to data ...

handle high-pressure production incidentsDesiredExperience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysisProven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutionsHands-on experience with containerization technologies such as Docker and Kubernetes, including cluster ...

pressures production incidents Desired Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes ...

systems integration Event-driven and service-oriented architecture Data platforms, analytics and business intelligence Data governance, quality, lineage and master data Artificial intelligence, machine learning and automation Identity and access management Cybersecurity, privacy and compliance DevOps, DevSecOps and platform engineering Containers, Kubernetes and infrastructure as code Enterprise service ...