Machine Learning Jobs

358 jobs for “machine learning”

Results

Principal Machine Learning Engineer

Last week

PhysicsX Singapore

Lead the deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments. Own scoping, architecture and success metrics for data/ML systems, mentor engineers, and work on-site with customers across North America, Europe, Asia and Oceania for 3-4 weeks per quarter.

Senior Machine Learning Engineer, AV Core

Last month

Wayve London

Lead large-scale data enrichment and curation for the Core Model Safety team, collaborating across pre/mid-training, reward modelling and self-supervised labelling. Build workflows for hard and rare event mining, design out-of-distribution detection for driverless operation, and improve ML operations efficiency across model engineering, infrastructure and compute.

Hybrid Permanent

Lead Machine Learning Engineer

3 days ago

Aioi Nissay Dowa Europe United Kingdom £81,322 – £112,488 pa

Dual role combining line management of a growing ML engineering team with hands-on technical delivery across multiple client engagements. You'll shape ML engineering practice, lead multidisciplinary teams, oversee solution design and quality assurance, and support pre-sales and use case discovery alongside commercial teams.

Hybrid Permanent

Senior Machine Learning Engineer (Safety)

Last month

Faculty London

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define deployment standards, and mentor junior engineers while working with frameworks like TensorFlow or PyTorch on cloud and Kubernetes infrastructure.

Hybrid Permanent

Staff Machine Learning Engineer - Ops

Last month

Wayve London

Owns the engineering release process for autonomous driving models, defining branching strategies, release cadence, configuration management and quality gates. Reviews model, architecture and code changes against intended outcomes, assesses evaluation results for safety and performance, and builds CI/CD tooling with PyTorch, TensorRT and GitHub Actions. Works across ML engineering, AI Platform, evaluation and product to unblock delivery bottlenecks.

Hybrid Permanent

Lead Machine Learning Engineer

Last month

Faculty London

Sets technical direction for complex AI/ML projects, designing scalable production systems and shared deployment infrastructure with CI/CD pipelines. Leads multiple workstreams in high-risk national security contexts, defining testing and model versioning standards while coaching engineers and defending architectural decisions to senior stakeholders.

Hybrid Permanent Clearance Required

Research Assistant in Machine Learning for Epidemiology

2 weeks ago

University of Sheffield Sheffield £32,080 pa

Build and evaluate machine learning models that predict Strep A outbreaks from multiple real-world datasets, turning them into early-warning signals. Work closely with clinicians and an engineering team so analyses feed into a practical public health tool, with emphasis on reproducible Python or R analysis.

Hybrid Contract Part-time

AI & Machine Learning Engineer

3 weeks ago

DCV Technologies Manchester £550 – £600 pd

Contract role building and deploying scalable AI/ML applications in a cloud environment, with hands-on work in Python, PyTorch and GCP. Involves Generative AI solutions using transformer architectures, RAG and agent frameworks like ReAct, plus MLOps tasks such as CI/CD pipelines, model registries, monitoring and drift detection. Also covers containerising models with Docker, KServe and Vertex AI, GPU scheduling and canary or shadow deployments.

Contract

Staff Machine Learning Engineer | | Up to+ Bonus

Last month

WeDoTech London £120,000 – £160,000 pa

Hands-on technical leadership role building and scaling enterprise Generative AI, LLM and agentic AI systems across multiple engineering teams. Involves designing production-grade RAG and multi-agent solutions, shaping reusable AI frameworks and standards, and ensuring reliability and governance in a regulated financial services environment.

Hybrid Permanent

Principal Machine Learning Engineer

Last week

ARM Dublin, Ireland

Lead the architecture, deployment and operation of a large-scale AI/ML platform spanning conventional ML and agentic AI. Own the platform roadmap, MLOps/LLMOps practices, CI/CD and IaC standards, and Azure-based infrastructure, while mentoring engineers and acting as senior escalation point. Hands-on leadership role combining coding with technical strategy and architecture decisions.

Hybrid

Principal Machine Learning Engineer

3 months ago

Harnham - Data and Analytics Recruitment France €130,000 – €150,000 pa

Define the technical direction of large-scale production ML systems while remaining hands-on across the full model lifecycle, leading end-to-end initiatives in recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling. Work directly alongside the CTO in a high-scale real-time AdTech environment, combining technical strategy, platform engineering and applied ML as an individual contributor leader rather than a people manager.

Hybrid

Senior Machine Learning Engineer (E3)

3 weeks ago

Ocado Kraków, Poland

Senior ML engineer role in a cross-craft data science team building prediction, ranking and personalisation systems for an e-commerce platform. Owns the full ML lifecycle on production systems, from experimentation and training to serving, monitoring and cost management, while coaching others and shaping reusable platform building blocks.

Hybrid Permanent

Embedded Machine Learning Engineer | ML/AI | Up to

2 weeks ago

SoCode Cambridge £50,000 – £80,000 pa

Develops intelligent embedded systems using Python, C and C++, applying machine learning and computer vision to real-world products. Works with microcontrollers, sensors and connected hardware, designing software architectures and delivering production code while collaborating directly with clients from concept to finished product.

Senior Machine Learning Applications and Compiler Engineer, LPX

6 months ago

NVIDIA Cambridge

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.

Hybrid

Senior Machine Learning Applications and Compiler Engineer, LPX

6 months ago

NVIDIA United Kingdom

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.

Hybrid

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