Latest Technology Jobs

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Software Engineer, AI Libraries

Design and build scalable Python libraries and tools that support machine learning workflows for autonomous driving systems. Focus on creating reliable, modular abstractions for data loading, distributed training, and model evaluation used by ML engineers and researchers. Work closely with ML teams to improve the performance and usability of training infrastructure across large GPU clusters and cloud environments.

Wayve London, United Kingdom
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Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and safety of machine learning models throughout Wayve's training and release pipeline. The engineer will establish release standards, validate model performance between training phases, and collaborate with platform, CI/CD, and evaluation teams to improve reliability and efficiency. The position involves deep engagement with MLOps workflows, automation, and model delivery infrastructure in a high-impact, safety-critical environment.

Wayve London, United Kingdom
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Senior Manager (National Security)

Lead and deliver high-impact AI transformation projects for UK government and national security clients, bridging technical AI research with operational mission needs. Manage end-to-end project delivery, develop strategic proposals, and mentor cross-functional teams in a fast-evolving, high-stakes environment. Focus on responsible AI deployment, red teaming, and building trusted advisory relationships with senior stakeholders.

Faculty AI London, United Kingdom
On-site Permanent Clearance Required
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Associate

This role involves scoping, building, and delivering custom AI solutions for major financial institutions, translating complex operational needs into actionable technical requirements. You'll work closely with both clients and engineering teams to ensure AI tools are effectively designed, tested, and deployed in regulated environments. The position emphasizes client engagement, workflow design, and contributing to strategic capability development within a high-impact AI consultancy.

Faculty AI London, United Kingdom
Hybrid Permanent

Head of Banking

Lead and shape the strategic direction of AI transformation programmes within the banking sector, working closely with C-suite clients to deliver impactful, responsible AI solutions. Build and grow a specialised banking practice by combining deep industry knowledge with technical excellence, driving both sales and delivery of high-impact projects. Mentor teams, influence industry thinking, and maintain executive confidence across complex, regulated environments.

Faculty London, United Kingdom
Hybrid Permanent

Associate (National Security)

This role involves scoping, building, and delivering custom AI solutions for national security clients. The Associate will work closely with stakeholders to translate complex operational needs into technical requirements, conduct open-source analysis, and support the development of secure, high-impact AI tools. The position requires collaboration with technical teams and contributes to strategic capability development within a high-stakes, mission-driven environment.

Faculty London, United Kingdom
Permanent

Data Scientist – Computational Genomics, 12-month

This role involves applying and developing machine learning and statistical models to analyse multi-omics and genomics datasets, with a focus on target identification and validation in drug discovery. The Data Scientist will work at the intersection of genetics, machine learning, and functional biology, integrating large-scale human genetics and single-cell data to uncover disease mechanisms. Collaboration with experimental and computational teams is central, with an emphasis on scalable workflows, hypothesis validation, and scientific communication.

Relation Therapeutics London, United Kingdom
On-site Permanent

Senior/Research Assistant, Genomics

This role involves end-to-end execution of single-cell RNA-seq and ATAC-seq workflows to generate high-quality genomics data for large-scale perturbation studies. The individual will work at the interface of wet-lab biology and automation, preparing sequencing libraries, ensuring rigorous sample tracking, and collaborating closely with computational and engineering teams to scale protocols. The position plays a key role in transforming functional genomics data into machine learning-ready outputs for drug discovery.

Relation Therapeutics London, United Kingdom
On-site Permanent
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Research Scientist, AI RL and LLMs

This role involves conducting cutting-edge research in reinforcement learning and large language models to advance intelligent systems. The scientist will co-develop models to enhance memory, task horizon, and general intelligence in vision-language and LLM architectures, with a strong emphasis on open-sourcing code and publishing high-impact research. Based in Zurich, the position operates at the intersection of theoretical innovation and practical implementation in AI.

NVIDIA Switzerland
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Research Scientist, AI RL and LLMs

Conduct cutting-edge research in reinforcement learning and large language models, focusing on advancing general intelligence in AI systems. Collaborate on developing novel models, publish high-impact work, and contribute open-source code to ensure reproducibility. Work within a world-leading AI research team pushing the boundaries of machine learning and intelligent systems.

NVIDIA

Principal Machine Learning Engineer

Develop and deploy advanced machine learning models for speech recognition, translating research into scalable production systems. Lead technical innovation, mentor engineering teams, and shape the long-term ML vision. Work across the full model lifecycle, from training and optimisation to deployment and best practices in MLOps and distributed systems.

Speechmatics London, United Kingdom

Principal Machine Learning Engineer

Develop and deploy advanced speech recognition models, translating research into scalable production systems. Lead technical innovation, mentor engineers, and shape the long-term ML vision. Work across the full stack of model development, optimisation, and deployment using state-of-the-art techniques in transformers, distributed training, and inference efficiency.

Speechmatics Cambridge, United Kingdom

Senior AI Engineer

This role involves leading the technical strategy and implementation of AI and machine learning solutions across a global legal firm. The Senior AI Engineer will manage a team of IT professionals, oversee the full AI solution lifecycle, and collaborate with senior stakeholders to align AI initiatives with business outcomes. The position requires expertise in machine learning frameworks, cloud platforms, and AI-driven software development, with a focus on scalable architecture and integration within enterprise systems.

A&O Shearman Horley, Surrey, United Kingdom

Senior AI Engineer

This role involves leading the technical strategy and implementation of AI and machine learning solutions across the firm, from model development to deployment and integration. The Senior AI Engineer will manage a team of IT professionals, collaborate with business stakeholders to identify high-impact use cases, and ensure scalable, best-practice-aligned architecture. Responsibilities include mentoring team members, overseeing third-party providers, and driving continuous improvement in AI capabilities within a professional services environment.

A&O Shearman East Sheen, London, SW14 8LA, United Kingdom

Financial Risk Analytics - Senior Product Analyst

The role involves designing and improving data workflows for risk analytics, focusing on market data ingestion, integration, and validation. The analyst will translate business needs into technical specifications, troubleshoot data issues using SQL and Python, and support scalable delivery of risk analytics solutions. Collaboration across engineering, data, and client-facing teams is central to the position.

eFinancialCareers London, United Kingdom