Latest machine learning Jobs

London Start Up Hiring Junior Quant Researcher With Experience

The Junior Quant Researcher will conduct quantitative research using statistical and predictive modeling techniques, manage the full lifecycle of strategy development, and create computer-based models to predict financial market movements. The role involves working closely with a start-up environment, requiring a strong background in machine learning and programming.

eFinancialCareers London, United Kingdom

On-site Internship

Systematic Volatility Quant Researcher - London

This role involves conducting end-to-end systematic volatility research, from alpha signal generation to execution optimization. You will develop, backtest, and refine volatility-based trading strategies across asset classes, working closely with traders and portfolio managers to enhance trading efficiency and performance.

eFinancialCareers London, United Kingdom

On-site Permanent

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.

NVIDIA

Pre-sales Solutions Architect (Manufacturing, Defence & Automotive)

This role involves working closely with sales teams and customers to design and demonstrate technical solutions using the Databricks Lakehouse Platform, with a focus on data and AI challenges in manufacturing, defence, and automotive sectors. The individual will lead proof-of-concept projects, deliver technical workshops, and act as a trusted advisor to guide customers through solution architecture and implementation. A strong background in data science, generative AI, and cloud-based data platforms is essential for success in this customer-facing technical role.

Databricks London, United Kingdom

Hybrid Permanent Clearance Required

Senior Full Stack Software Engineer

Design and build full-stack platforms that translate complex data science and AI insights into production-grade applications, with a focus on scalability and performance. Lead technical architecture, mentor engineers, and collaborate closely with data scientists and product managers in a regulated financial services context. Work across frontend and backend systems to deliver secure, reliable software solutions for high-impact clients.

Faculty AI London, United Kingdom

Hybrid Permanent

Principal Data Scientist

A Principal Data Scientist will lead high-impact AI projects for financial services clients, driving technical innovation in machine learning and Generative AI. The role involves mentoring teams, developing shared frameworks, and contributing to client-facing solutions with a focus on responsible deployment. Thought leadership through publications and conference presentations is also expected.

Faculty AI London, United Kingdom

Hybrid Permanent

Feature Owner, ADAS

This role involves end-to-end ownership of Advanced Driver Assistance Systems (ADAS) features such as Traffic Light Recognition, Blind Spot Monitoring, and Pre-Safe systems. The Feature Owner collaborates with OEMs, engineering, and product teams to define specifications, ensure compliance with automotive standards, and deliver features from concept to production. The position requires deep technical understanding, strong customer advocacy, and alignment of client needs with Wayve’s strategic roadmap.

Wayve United Kingdom

CFD Multiphase & DEM Engineer

This role involves developing and validating high-fidelity multiphase CFD and coupled CFD-DEM simulations for industrial applications across aerospace, energy, and manufacturing. The engineer will work directly with customers to build automated, scalable simulation workflows integrated with AI-driven surrogate models, using tools like Star-CCM+, OpenFOAM, or Fluent alongside Python and parametric CAD. Emphasis is placed on smart sampling, model validation, and mentoring within a collaborative, high-performance engineering culture.

PhysicsX London, United Kingdom

CFD Engineer

The role involves building and refining high-fidelity CFD models from geometry cleanup to post-processing, supporting AI-driven simulation workflows for diverse engineering applications. You'll work closely with data scientists and customers to generate simulation datasets, automate pipelines using CAD and Python, and contribute to scalable, ML-integrated CAE solutions. The position emphasizes hands-on technical delivery, collaboration, and growing autonomy in a startup environment with hybrid working in London.

PhysicsX London, United Kingdom

Quantum Computational Science Specialist..

Lead the development of quantum computational science methods for future multi-physics simulation capabilities, focusing on error-corrected algorithms and hybrid quantum-classical workflows. Develop and implement quantum algorithms using high-performance computing for emulation, with applications in linear solvers, state reconstruction, and tensor networks. Collaborate with academic, industrial, and government partners to shape Rolls-Royce's quantum computing strategy and influence internal adoption of new methods.

Rolls Royce Derby, Derbyshire, DE1 3AE, United Kingdom

Hybrid Permanent

Expression of Interest- Red Team

This role involves conducting advanced research to identify and stress-test vulnerabilities in frontier AI systems, focusing on alignment, misuse, or control risks. The team works closely with leading AI companies, UK government officials, and allied governments to inform deployment decisions, policy, and safety practices. Work includes developing novel evaluation techniques, attack tooling, and control measures to mitigate high-stakes AI risks.

AI Security Institute London, United Kingdom £65,000 – £145,000 pa

On-site Permanent Clearance Required

Pre-sales Senior Technical Solutions Engineer (Data and AI)

This role involves acting as a technical advisor to customers, demonstrating the Databricks Data Intelligence Platform through hands-on evaluations and custom proof-of-concepts. The engineer will collaborate with sales teams to translate customer data challenges into technical solutions, develop reference architectures, and support clients across industries like media, finance, and retail. The position requires deep expertise in big data, AI, and cloud ecosystems, with regular engagement in technical workshops and on-site customer visits.

Databricks London, United Kingdom

Hybrid Permanent

Principal Designer

Lead and shape product and service design within a human-centric AI consultancy, driving both high-impact client projects and the strategic development of design capabilities. Bridge technical AI outputs with real-world user needs through human-centred design, while building frameworks, mentoring teams, and advising executive clients. Work across multidisciplinary teams to deliver durable AI-powered software solutions in sectors like government, finance, and life sciences.

Faculty London, United Kingdom

Hybrid Permanent

Principal Product Manager

Lead the development of AI-powered products by shaping product management standards and delivering high-impact client solutions. Work across multidisciplinary teams to translate advanced AI models into durable, user-centric software, while building organisational capability in product practice. Advise executives on technology adoption and drive commercial outcomes through strategic product leadership.

Faculty London, United Kingdom

Hybrid Permanent