1,226 to 1,250 of 2,828 Machine Learning Jobs in England

degree (2:1+) in a quantitative discipline (Maths, Stats, Physics, Engineering, CS or quantitative Economics) Python and SQL, plus solid grounding in statistical and ML techniques Experience in credit risk, data science or another quantitative role — we care more about ability than years. Financial services/lending exposure ...

deployment environments Exposure to pricing, risk, or trading engine systems Experience working alongside quantitative or systematic trading teams Interest or experience in AI/ML applications in trading environments #J-18808-Ljbffr ...

senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. You will take ownership of the organisation's modern data architecture roadmap, designing secure, scalable, and high-performing ...

trusted advisor on AI technologies and best practices. About You Essential Skills & Experience Proven experience designing, building, and deploying AI/ML solutions within enterprise environments. Strong Python development skills. Experience integrating and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of vector databases, embeddings, RAG architectures ...

supervision Strong SQL and Python or R. Comfortable reading and maintaining an existing codebase and pipelines Hands-on experience maintaining production ML models: refresh, retrain, monitor, and troubleshoot, rather than building from scratch Experience with model performance monitoring and data quality Excellent written and verbal communication Advanced degree ...

risk, or electronic market making models. Database interfacing, data management and (pre‐)processing (kdb, q, SQL). Experience of working with tensorflow and other ML packages. #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

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 ...

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 ...