576 to 600 of 1,293 Machine Learning Jobs in England

Knowledge Essential Demonstrable knowledge of the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning etc. Solid understanding of UK Data Protection law and related regulations relevant to counter fraud data provision, use and retention Understanding ...

Knowledge Essential Demonstrable knowledge of the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning etc. Solid understanding of UK Data Protection law and related regulations relevant to counter fraud data provision, use and retention Understanding ...

unstructured data * Data ingest, transformation and persistence technologies * Agile delivery & CI/CD environments * Stakeholder engagement across technical and non-technical teams * AI/ML data applications Experience within Defence/National Security environments Skills and experience: * Experience within Defence, National Security or Public Sector environments * DDIL/constrained environments ...

required: Automation across Microsoft Technology (M365, Power Platform and Azure) Development - Back End & Front End technologies (C#, SQL, JavaScript or Python) Data Reporting AI & ML - Understanding of AI and Large Language Models (LLM), AI Governance, Identifying opportunities for AI and Automation Integrations - between core business systems and third-party platforms ...

required: Automation across Microsoft Technology (M365, Power Platform and Azure) Development – Back End & Front End technologies (C#, SQL, JavaScript or Python) Data Reporting AI & ML – Understanding of AI and Large Language Models (LLM), AI Governance, Identifying opportunities for AI and Automation Integrations – between core business systems and third-party platforms ...

deploying AI responsibly at scale Required Skills 10–15+ years in software/data engineering or related technical roles 5+ years in AI/ML, with recent GenAI/LLM exposure Proven track record designing and implementing AI solutions in enterprise settings Strong knowledge of LLMs, APIs (OpenAI, Azure OpenAI ...

distributed systems Experience with messaging (Kafka/MQ), data modelling, and APIs Solid DevOps: CI/CD, containers, cloud platforms Hands-on AI/ML experience and integrating AI into solutions Background in financial services (ideally Corporate Actions or post-trade) Ability to influence without authority in complex organisations Tech ...

internal visibility, alongside experienced Data Scientists and AI Engineers. Role Summary You’ll help design, build, and deploy AI-powered applications using both traditional ML and modern LLM tooling. Projects include AI sales assistants, underwriting automation, internal summarisation systems, and workflow efficiency tools. Key Responsibilities • Build and deploy production-grade ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

lifecycle of data-intensive platforms and AI solutions aligned with AIPX architecture. Technical Direction: Provide guidance across cloud engineering, data modeling, and ML model monitoring. Engineering Excellence: Enforce best practices in coding standards, DevOps/MLOps pipelines, and automated SDLC. Stakeholder Management: Translate complex business requirements into actionable technical backlogs ...

/or Python engineering • Deep understanding of distributed systems and cloud-native development • Hands-on AWS experience in production environments • Exposure to AI/ML engineering, LLM tooling, semantic search or retrieval systems • Strong system design capability and ability to work autonomously • Background within financial services, trading technology, research platforms ...

Operational Resilience, and the EU AI Act. AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool-use, and non-deterministic agent logic. Security Frameworks: Proficiency in OWASP LLM Top 10 and NIST AI RMF. Role ...

Operational Resilience , and the EU AI Act . AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool-use, and non-deterministic agent logic. Security Frameworks: Proficiency in OWASP LLM Top 10 and NIST AI RMF . ...

mission-critical projects. This is a fantastic opportunity to push boundaries, shape technical direction, and deploy cutting-edge solutions across cloud, AI/ML, and secure systems. Responsibilities: Driving end-to-end DevSecOps best practice across the SDLC Building and optimising CI/CD pipelines & deployment automation Applying SRE principles ...

feel like a typical year) Background requred: – Degree in a relevant discipline (Maths, Engineering, Computer Science, etc.) – ~4+ years in AI/ML engineering, or strong software engineering with AI exposure – Experience taking LLM or agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure ...

/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ecosystems ...

Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid ...

Life, Health, and P&C insurance. Drive adoption of AI and automation for efficiency and risk reduction. Lead digital initiatives using data, analytics, and ML models. Collaborate with internal teams to deliver measurable business outcomes. Qualifications: Bachelor s degree in Business, Technology, or a related field; MBA preferred. ...

YouTube. Develop product solutions to empower content partners, resolve technical issues, and drive scalable impact across the business. Identify and apply AI/ML use cases across partner operations and internal workflows to maximize efficiency, reduce costs, and deliver measurable business impact. Ensure technical integrity and compliance for all partner ...

with the ability to challenge convention. Strong understanding of automation, workflow optimisation, and process re-engineering. Ability to translate complex ideas (including AI/ML concepts) into simple, clear language. Experience working in agile product development environments. Desirable Experience working in regulated environments or with legal workflows. Thorough understanding ...

proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for. • Demonstrated evidence of shipped work outside a structured environment ...

Integrating scalable production-grade AI/ML systems into engineering applications Guildford to £80,000 plus benefits This engineering software company are integrating AI and machine learning features into their application suite, and seeking a skilled traditional software engineer with experience working on similar projects. You will have ...

visible AI ambassador within the region. Training and community animation: Design and deliver training sessions for non-technical audiences. Develop practical learning pathways (workshop, playbooks). Identify and coordinate a network of regional AI Champions to support grassroots adoption. Animate an active community of practice around AI usage. Feedback … following: product management in a data/AI context, technical project management, business analysis within engineering-driven organisations, or a data science/ML engineering role that evolved toward stakeholder management. International exposure and cross-cultural experience within EMEA environments are highly valued. Technical understanding (non-coding role): Machine ...