1,251 to 1,275 of 2,863 Machine Learning Jobs in England

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

collaboration within a globally distributed team. Preferred Qualifications Experience with low‐latency, high‐throughput processing (1M+ TPS) microservices. Proficiency in safely integrating AI/ML‐enabled solutions into backend systems and leveraging AI‐driven tools to enhance product outcomes. Benefits We provide a full benefits package, including travel perks, generous ...

experience carrying a quota north of $2M ARR with documented attainment history. Background in quantum computing, advanced simulation, EDA tools, HPC, or AI/ML infrastructure during its pre-mainstream phase. #J-18808-Ljbffr ...

expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise-authorized AI-assisted software development tools Strong understanding of responsible AI use, including ...

design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams. Familiarity with AI/ML-enabled tools and practical applications that support product management, workflow efficiency, insight generation, or decision support. Knowledge of governance considerations related to AI, model risk ...

environments with a continuous improvement mindset Experience leading change across technology, process or ways of working Hands‐on experience using or introducing AI or ML tools within engineering teams Solid understanding of cloud‐native architecture, AWS and distributed systems Proficiency in at least one modern programming language Strong grasp ...

current with emerging AI tools and frameworks, introducing improvements to team workflows. Required Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands ...

product leadership for data‐heavy platforms or analytics products, with a solid understanding of data governance and pipeline design. Strong understanding of AI/ML feature productization, including how AI capabilities are evaluated, explained, and integrated, along with familiarity with AI connectors. Proven ability to manage roadmap trade‐offs ...

platforms, cloud infrastructure, open-source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying Artificial Intelligence, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms ...

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...

/7 on call rota as required. Essential Criteria Proven Azure commercial experience in AI Foundry, ACS/Telephony, Voice Live, Azure ML Proven industry experience with Python, Javascript, Typescript, React, Redux, Java Experience with LLM’s including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka ...

using Azure, Fabric, Data Platform& DevOps preferred • Experience in designing and implementing cloud-based data and AI solutions with strong understanding of AI/ML concepts, frameworks, and lifecycle management • Proficiency with data integration, ETL, and data pipeline tools • Proven experience of designing and leading the implementation of data governance ...

leading, partnering, and scaling developer programs at major healthcare companies, or within relevant verticals.* Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.* Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical ...

your talents in the real world on challenging engineering tasks. Bonus Skills Experience with infrastructure‐as‐code (Terraform) Exposure to LLMs or AI/ML workflows in production Strong opinions on architectural trade-offs in microservices vs. monoliths Knowledge of security and data privacy best practices in regulated domains Engineering ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function ...

technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI‐driven testing and integrating AI/ML into QA practices. Leadership experience, including guiding teams to deliver testing solutions, collaborating across multiple teams or territories, and using monitoring and troubleshooting tools ...

alerting tools Certifications: Azure Solutions Architect, GCP Professional Cloud Architect. Experience with policy-as-code, GitOps, and advanced automation frameworks. Exposure to AI/ML workloads, serverless architectures, and cloud cost management tools. Security clearance This role is subject to National Security Vetting (NSV). Candidates must be eligible ...

experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level. Experience delivering ...

JPMorgan Chase & Co. invites applications for an Applied Innovation Engineering role within the AI/ML group under the CDAO Technology umbrella. The team focuses on machine learning for software, cybersecurity and infrastructure, delivering production-ready solutions at scale. The role collaborates with engineers, data scientists and product ...

curiosity about AI. Desirable Hands-on experience building with LLMs - agents, RAG, evals and tooling such as MCP. An active interest in DevOps and Machine Learning. Experience with frameworks like Django, Flask or FastAPI, Elasticsearch or similar NoSQL technologies, and relational databases. Experience with large-scale data processing, including ...

healthcare data privacy standards: HIPAA, GDPR. Desirable Knowledge of surgical workflows or clinical documentation practices. Exposure to ambient sensing, computer vision, or AI/ML data pipelines in a clinical context. Familiarity with HL7 FHIR R4/R5 and modern SMART on FHIR architectures. Experience with Snowflake, Databricks, or Spark ...

enablement, or user-adoption strategies for newly launched enterprise tools. Ability to foster user engagement through training , workshops, and user-friendly documentation. AI/ML Program Exposure: Experience delivery-managing data pipeline readiness, ELT/ETL architectures, and data preparation specifically geared toward AI model integration Technical Fluency: A strong ...

technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI-driven testing and integrating AI/ML into QA practices. Leadership experience, including guiding teams to deliver testing solutions, collaborating across multiple teams or territories, and using monitoring and troubleshooting tools ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function ...

ready, auditable, compliant, and scalable across merchant payment use cases. You will also be accountable for the end‐to‐end engineering of GenAI and ML platforms, embedding governance, observability and operational resilience by design, hile enabling teams to deploy and run AI solutions with clarity, assurance and accountability at scale. ...