Latest Data Analytics Jobs

C++ Software Engineer – AI Developer Tools

You will develop production-quality C++ components and APIs for NVIDIA’s AI-powered developer tools, focusing on agentic workflows, retrieval systems, and performance optimization. You will collaborate with cross-functional teams to enhance developer productivity and system reliability.

NVIDIA United Kingdom

C++ Software Engineer – AI Developer Tools

You will develop production-quality C++ components and APIs for NVIDIA’s AI-powered developer tools, focusing on Genie’s retrieval and agentic features. Your role involves building capabilities that connect native C++ tools with AI services, improving retrieval quality, and collaborating with cross-functional teams.

NVIDIA

Machine Learning Quant - Start Up

This role involves developing and deploying advanced AI/ML models for a stealth start-up Quant hedge fund. Responsibilities include building proprietary trading systems, experimenting with new datasets, and contributing to novel trading ideas. The team is advised by a Fields Medallist and is preparing to launch next year.

eFinancialCareers London, United Kingdom £150,000 pa

On-site Permanent

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

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.

eFinancialCareers London, United Kingdom

On-site Permanent

Principal Research Scientist - AI Safety

Lead and shape the research agenda for AI safety, focusing on large language models and high-risk domains such as CBRN and cybersecurity. Conduct and oversee cutting-edge technical research, publish in top-tier venues, and mentor a growing team of researchers. Collaborate on red-teaming and evaluation projects while positioning the organisation as a thought leader in trustworthy AI development.

Faculty AI London, United Kingdom

Hybrid Permanent Clearance Required

Principal Machine Learning Engineer

This role involves leading the technical direction of high-impact AI projects, particularly within financial services, by designing scalable machine learning systems and providing expert guidance across teams and clients. The engineer will architect complex data science frameworks, solve cross-cutting technical challenges, and influence company-wide strategy. Emphasis is placed on robust, production-grade AI solutions and advancing technical excellence in regulated environments.

Faculty AI London, United Kingdom

Hybrid Permanent

Staff Machine Learning Software Engineer, Research

This role involves leading machine learning research initiatives in a high-performance computing environment, focusing on scalable AI models for multi-physics simulation in engineering and science. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, mentoring junior staff, and shaping technical strategy. Work spans cloud and on-premise infrastructure with a strong emphasis on MLOps, software engineering best practices, and real-world deployment across advanced industries.

PhysicsX London, United Kingdom

On-site Permanent

Manager, Applied AI Architects

This role involves leading a team of senior technical leaders to design and deploy AI solutions for OpenAI's largest and most complex customers. Responsibilities include setting technical strategies, coaching the team, and building trusted relationships with C-suite stakeholders.

OpenAI London, United Kingdom

Permanent

Applied AI Architect, Large Enterprise

The Applied AI Architect role involves partnering with enterprise customers to identify AI opportunities, design solutions, and guide them through deployment and adoption. Responsibilities include technical strategy, customer relationship management, and ensuring successful implementation and business impact.

OpenAI London, United Kingdom

Permanent

Senior ML Engineer, Doc Fraud

This role involves building and optimizing production-scale machine learning systems for document classification and extraction, focusing on fraud detection in government-issued IDs. The engineer will work with VLMs/LLMs and traditional ML models, design training and inference pipelines, and integrate solutions into customer-facing products. Collaboration with applied science, product, and operations teams is key to delivering accurate, real-time document verification experiences.

Entrust London, United Kingdom

Hybrid Permanent

Research Leader (DMPK), Cambridge, MA

Lead DMPK strategy for drug discovery projects using an AI-first approach, integrating quantitative pharmacology and ADME data to guide candidate selection. Develop predictive models, optimise molecule design in collaboration with chemistry teams, and support regulatory submissions. Work within a multidisciplinary team to advance novel therapeutics from hit identification to first-in-human trials.

Isomorphic Labs Cambridge, United Kingdom

Research Leader (Toxicology), Cambridge, MA

Lead toxicology strategy in an AI-driven drug discovery environment, designing safety assessment frameworks and predictive models to reduce reliance on animal testing. Collaborate with machine learning teams to integrate toxicology insights into a digital drug design engine, while mentoring junior scientists and guiding regulatory submissions for small molecules and biologics.

Isomorphic Labs Cambridge, United Kingdom

Deployment Strategist

As a Deployment Strategist, you will build and maintain relationships with key customer stakeholders, understand their engineering challenges, and translate them into product opportunities. You will own the customer onboarding journey, support delivery teams, and identify new areas for growth and innovation using PhysicsX's AI solutions.

PhysicsX United Kingdom

Senior ML Engineer, Doc Fraud

Design and build high-accuracy document classification and extraction systems using LLMs and traditional ML, integrated into identity verification products. Focus on scalable production pipelines, inference optimization, and cross-team collaboration to improve fraud detection across global document types.

Entrust

Hybrid

Misuse Red Team - Research Engineer/Research Scientist

This role involves researching and developing novel attack vectors against large language model safeguards, including automated jailbreaking, data poisoning, and misuse of AI agents. The researcher will design and run experiments, build scalable evaluation tooling, and collaborate with frontier AI labs to identify and mitigate vulnerabilities. Work focuses on advancing the security of frontier AI systems through technical red teaming and publishing impactful findings.

AI Security Institute London, United Kingdom

On-site Permanent Clearance Required