Machine Learning Jobs

Cambridge Consultants · United Kingdom

A paid 6-12 month PhD internship in the AI & Algorithms department, working across the full robotic learning pipeline from data collection and model training to deployment on real hardware. Interns join mixed-discipline teams on client projects in healthcare and industrial settings, contributing to internal R&D and using labs, robotic platforms and compute resources.

Cambridge Consultants · United Kingdom

Join the AI & Algorithms department to build intelligent systems, coding hands-on and training/testing models for client projects across robotics, radar, photonics and engineering biology. Work in mixed-discipline teams attending stand-ups and planning sessions, while contributing to internal R&D that turns state-of-the-art literature into market-leading solutions and client demonstrations.

Amazon · Edinburgh

Builds machine learning recommendation systems that match job seekers to roles and recruiters to talent across Amazon Jobs and internal hiring platforms. Works on representation learning, reinforcement learning and probabilistic modelling at global scale, with a focus on fairness and explainability, alongside engineers, scientists and product managers through the full development lifecycle.

Anthropic · London · £260,000 – £630,000 pa

Join the Pretraining team to develop next-generation large language models, working across model architecture, algorithms, data processing and optimizer development. You'll lead small research projects, design and analyse experiments, and scale distributed training infrastructure to thousands of GPUs, balancing research goals with practical engineering.

Amazon · Cambridge

Joins a research team advancing multimodal deep learning for consumer devices, focusing on dataset curation, annotation pipelines and automated evaluation methods such as fine-tuned LLM-as-judge. Analyses large offline and online datasets in Python to diagnose model failures and works with training, compiler and product teams to move models from prototype to production.

Wayve · London

Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, interfaces and cross-team alignment. It is a principal-level leadership position mentoring engineers and setting reconstruction quality standards.

MFK Recruitment · Brentford · £75,000 – £100,000 pa

Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.

Synoptix · Bristol · £65,000 – £85,000 pa

Lead the technical vision and delivery of bespoke AI research programmes, spanning object detection, neural network resilience, AI assurance and synthetic data. Day-to-day work includes high-throughput vision systems on NVIDIA Jetson hardware, CUDA/TensorRT acceleration, multi-modal thermal and optical sensing, and real-time tracking, while guiding junior engineers and engaging senior stakeholders.

NVIDIA · Bristol

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth analysis and optimisation for current and next-generation GPU architectures, working with application developers and collaborating with architecture, research, libraries, tools and system software teams.

NVIDIA · Zürich, Switzerland

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth performance analysis and optimisation for current and next-generation GPU architectures, working directly with application developers and collaborating with architecture, research, libraries, tools and system software teams.

Cambridge Consultants · United Kingdom

Six- to twelve-month AI and algorithms internship for PhD or Master's students, working alongside engineers on client projects involving modelling, training, testing and data wrangling. Interns also contribute to internal R&D, building on state-of-the-art AI literature, and present results to colleagues and clients. Requires strong Python, Git and demonstrable research experience, plus UK security clearance eligibility.

Cambridge Consultants · United Kingdom

Senior technical role architecting agentic AI systems for defence and security clients, acting as technical lead on complex projects and setting departmental technical direction. Involves hands-on engineering in Python, client-facing proposal work, mentoring engineers and conducting technical interviews. Requires SC security clearance and UK residency.

Cambridge Consultants · United Kingdom

Graduate role working on client assignments across embedded systems, spanning analogue and digital hardware, FPGA design, PCB layout and embedded software in C, C++ or Rust. You'll join a multi-disciplinary team, interact directly with clients through requirements capture to handover, and work on projects from consumer devices to defence and national security.

Cambridge Consultants · United Kingdom

Work on multidisciplinary engineering projects across consumer, industrial, and defence sectors, designing embedded systems, writing firmware in C or SystemVerilog, and developing hardware for innovative products. Engage in full project lifecycles from requirements to handover, with mentorship to grow technical and systems design expertise. Projects include robotics, AI-driven security solutions, and collaborative product development with major clients.

Amazon · London

PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.