1,176 to 1,200 of 2,567 Machine Learning Jobs in London

judge, safety/alignment metrics) Inference optimisation (quantization, distillation, vLLM/TensorRT-LLM) Requirements: - PhD or Master's in CS/AI/ML/Physics/Maths or equivalent research experience - Strong hands-on expertise in at least one core area above - Strong Python and PyTorch/distributed training ...

judge, safety/alignment metrics) Inference optimisation (quantization, distillation, vLLM/TensorRT-LLM) Requirements: PhD or Master's in CS/AI/ML/Physics/Maths or equivalent research experience Strong hands-on expertise in at least one core area above Strong Python and PyTorch/distributed training ...

Experience with modern cloud-native development Git, automated testing and CI/CD Experience working within Agile multidisciplinary engineering teams Experience with AI/ML, LLMs, RAG, semantic search, knowledge graphs, Docker, Kubernetes or Defence/National Security programmes would be advantageous. Security Clearance Candidates must hold active DV (Developed ...

Experience with modern cloud-native development Git, automated testing and CI/CD Experience working within Agile multidisciplinary engineering teams Experience with AI/ML, LLMs, RAG, semantic search, knowledge graphs, Docker, Kubernetes or Defence/National Security programmes would be advantageous. Security Clearance Candidates must hold active DV (Developed ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting role, you will be expected ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting role, you will be expected ...

derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow and exotic products in one or more asset classes Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development ...

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 ...

Large Language Model (LLM) interfaces into workflows. Preferred qualifications: Experience in data infrastructure and analytics, software experimentation systems, or both. Familiarity with AI/ML infrastructure. Excellent communication skills (e.g,, written, verbal). Strong cross-functional and cross-organizational collaboration skills, especially with engineering and data science. Adept at using ...

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 ...

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 ...

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 ...

related discipline A strong background in skin biology, dermatology, skin ageing, melanoma or a closely related field 5+ years' experience developing bioinformatics and ML solutions Deep experience analysing NGS, DNA methylation and other high-dimensional omics datasets Strong Python skills and experience developing reproducible bioinformatics workflows Experience designing scientific studies ...

scalable backend services that power our identity verification and fraud prevention products. You’ll work closely with Engineering, Product, Infrastructure, and Data Science/ML teams and take ownership of software from design through production. What You’ll Do Design, build, test, and operate backend services, APIs, and microservices. Develop ...

Experience in Go-To-Market, Business Development, Sales, or Consulting - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage Preferred Qualifications - Experience interpreting data and making business recommendations - Experience identifying, negotiating, and executing complex legal agreements Amazon ...

plus. Having OSWE OSCP, GWEB, GPEN or similar certificate is a plusExperience in Mobile Application Penetration Testing is a plusFamiliarity with AI&ML & LLM concepts, AI Red Teaming, AI Guardrails is a plus.#LI-HybridFortinet makes possible a digital world that we can always trust through its mission to protect people ...

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 ...

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 ...

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 ...

front office environment Academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM disciplinePreferred: Strong knowledge of AI/ML techniques, with experience delivering such models into production environments a plus Proficiency in Agentic design (LangChain/LangGraph), implementation, and hallucination management; experience with performance critical ...

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 ...

reporting standards. Thought leadershipAdvise customers on best practices in merchandising, pricing/promo, demand planning, store operations, and customer analytics. Translate AI/ML and analytics into clear business value narratives for executive stakeholders. Required Skills & Qualifications:5–10+ years of enterprise account management in SaaS/data/analytics ...

usability. Knowledge of security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). Experience in one of the following specialisms: AI/ML/Data/Cloud/M365/Security Architecture Experience in application architecture, software development and/or infrastructure architecture. Industry experience ...

usability. Knowledge of security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). Experience in one of the following specialisms: AI/ML/Data/Cloud/M365/Security Architecture Experience in application architecture, software development and/or infrastructure architecture. Industry experience ...