Machine Learning Jobs

455 jobs for “Engineering”

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Cohere

Forward Deployed Engineer, Agentic Platform (UK Public Sector)

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  • United Kingdom
  • Remote
  • Mid-level
  • Permanent

Own the design, build and deployment of LLM-powered agentic workflows for enterprise customers, integrating models with tools, APIs and sensitive data sources. Work across the full product lifecycle on the North AI workspace platform, building reliable, observable and auditable agents, with up to 20-40% travel to customer sites.

North · LLM · RAG +3

DV clearance 3 months ago

NVIDIA · Public

Compiler Engineer - AI Inference

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  • United Kingdom
  • Remote

Hands-on development of kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. The role involves hardware/software co-design with software, hardware and research teams, and scaling datacenter AI deployments, with heavy use of MLIR, C/C++ and Python.

MLIR · GPU · CPU +1

3 months ago

NVIDIA · Public

Senior Machine Learning Applications and Compiler Engineer, LPX

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  • Cambridge
  • Hybrid
  • Senior

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale neural network workloads onto future hardware. Involves LLVM/MLIR work, graph transformations, scheduling and memory/layout optimizations, plus close collaboration with hardware architects on co-design.

LLVM · MLIR · TensorFlow +3

6 months ago

eFinancialCareers

Data Scientist

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  • Stirling
  • Senior · manages people

Designs, builds and optimises scalable data pipelines in Azure Databricks, Spark and Python to support actuarial modelling and assumption setting. Applies machine learning and advanced analytics where they add measurable value, drives process reengineering and embeds audit and risk controls. Also guides and reviews the work of junior team members and shapes data standards and best practice.

Azure Databricks · Spark · PySpark +1

5 days ago

eFinancialCareers

1st Line of defence Financial Crime Data and Analytics Manager

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  • London
  • Mid-level

Day-to-day responsibility for requesting data, monitoring and enhancing Key Risk Indicators and Management Information (MI) for first-line financial crime risk. Builds and maintains MI dashboards, automated data pipelines and analytical tooling using Python, SQL, Power BI or Tableau, and partners with 2LOD and Data Engineering to improve data quality and governance. Distinct for its strategic ownership of the financial crime data and analytics roadmap within an asset management and insurance group.

Power BI · Tableau · AWS +2

4 days ago

Cohere

Member of Technical Staff - RL Environments

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  • London
  • Hybrid
  • Permanent

Builds reinforcement learning environments for enterprise AI agents, populating them with hard tasks, plausible data and reward verifiers, then runs agents inside to evaluate and train them. Works across modelling and product to find capability gaps, and partners with external vendors on expert-built environments and quality tooling.

3 months ago

NVIDIA · Public

Senior Machine Learning Applications and Compiler Engineer, LPX

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  • United Kingdom
  • Hybrid
  • Senior

Develop algorithms and optimizations for NVIDIA's LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning. The role involves building high-performance runtime and compiler components, mapping inference workloads onto future hardware, and collaborating with hardware architects on codesign. Distinct focus on LLVM/MLIR, graph transformations, and spatial accelerators.

LLVM · MLIR · TensorFlow +3

6 months ago

eFinancialCareers

Quant Pod Hiring Multiple Macro Researchers / Paris / London - Base Sign On

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  • London
  • On-site
  • Mid-level
  • Permanent

This role involves developing systematic trading models and alpha strategies across various financial markets, including FX, commodities, fixed income, and equities. You will work on back-testing, improving existing strategies, and evaluating new datasets to enhance the team's investment process and research infrastructure.

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