Latest machine learning engineer Jobs

CFD Engineer

This role involves building and running high-fidelity CFD simulations from geometry cleanup to post-processing, supporting AI-driven engineering solutions. The engineer will work closely with data science teams to generate datasets for machine learning models, contribute to simulation automation, and engage with customers to deliver practical engineering insights. Based in Singapore, the position offers early-stage team influence and cross-industry technical exposure.

PhysicsX United Kingdom

Forward Deployed Software Engineer

A Forward Deployed Software Engineer at PhysicsX works directly with customers and engineering teams to build and deploy AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. The role involves full-stack development, rapid prototyping, and on-site collaboration, with a focus on delivering production-grade tools using physics AI models. Engineers contribute to backend services, APIs, and platform features while shaping product direction based on real-world customer needs.

PhysicsX United Kingdom

Hybrid Permanent

Machine Learning Modeling Lead - DTG Capital Markets

This role involves leading the development and deployment of machine learning models that power the firm's trading systems. Responsibilities include setting the long-term vision for the model portfolio, designing training pipelines, building explainability tools, and mentoring a team of ML researchers. The position requires deep expertise in modern ML methods, real-time systems, and quantitative finance.

eFinancialCareers London, United Kingdom

Remote Permanent

Machine Learning Scientist

This role involves designing and prototyping novel generative machine learning models for protein design, with close collaboration between computational and experimental teams. The scientist will build scalable data pipelines, optimize deep learning models for performance, and iteratively refine models based on wet lab feedback. A strong emphasis is placed on code quality, interdisciplinary collaboration, and translating model outputs into real-world biological functions.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Machine Learning Scientist

Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge research with practical engineering implementation. Work on geometric deep learning, diffusion models, and 3D representations in biological systems, translating scientific ideas into deployable tools. Collaborate closely with engineers and scientists in a hybrid London-based role focused on high-impact AI for life sciences.

Platform Recruitment London, United Kingdom £85,000 – £100,000 pa

Machine Learning Researcher

This role involves developing machine learning algorithms for radio frequency (RF) signal detection and exploitation in defence and electronic warfare contexts. The researcher will work on real-world AI applications in congested electromagnetic environments, designing novel solutions and publishing high-quality research. The position is based in South East England with hybrid working, requiring weekly office attendance while supporting significant remote work.

ECM Selection United Kingdom £50,000 – £58,000 pa

Hybrid Contract Clearance Required

Machine Learning Researcher at leading Market Maker / Hedge Fund

A Machine Learning Researcher will work across trading and engineering teams to extract actionable signals from large-scale market data, applying ML and AI techniques to improve trading performance and operational efficiency. The role emphasizes collaboration, knowledge sharing across asset classes, and developing innovative solutions to real-world trading problems using advanced computational methods.

eFinancialCareers London, United Kingdom £200,000 pa

On-site Permanent

Senior Machine Learning Scientist (Single Cell)

Develop machine learning models tailored to single-cell and multiomic biological data to understand cellular responses to interventions and inform therapeutic strategies. Work at the intersection of generative modelling and experimental biology, collaborating closely with wet-lab scientists to translate biological questions into modelling problems and interpret results in meaningful ways. Contribute to the research roadmap and advance the biological coherence of model evaluation beyond standard metrics.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Machine Learning Scientist

Design and optimize machine learning models and LLM-powered systems for real-world NLP and Generative AI applications. Develop retrieval pipelines, evaluation frameworks, and semantic search solutions in collaboration with engineering and product teams. Work in a research-driven environment with opportunities to mentor others and influence technical direction.

Harnham - Data and Analytics Recruitment London, United Kingdom £80,000 – £95,000 pa

Senior/Principal Machine Learning Scientist (Generative Modelling)

This role involves developing generative and predictive models of cellular behaviour using single-cell multi-omics and perturbation data, with a focus on causal inference, counterfactual prediction, and guiding experimental design. The scientist will work iteratively with wet-lab teams to validate hypotheses and refine models, operating at the intersection of machine learning and experimental biology. The position emphasizes mechanistic fidelity, real-world utility, and interdisciplinary collaboration in a high-impact drug discovery environment.

Relation Therapeutics London, United Kingdom

On-site Permanent

Research Scientist (Machine Learning), London

A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in a cross-disciplinary environment with scientists and engineers. The role involves designing architectures, training models, and applying cutting-edge ML techniques to biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Research Scientist (Machine Learning), Lausanne

This role involves developing novel machine learning models and algorithms to accelerate drug discovery through AI. You'll work in an interdisciplinary team to design deep learning architectures, train models on biological and chemical data, and apply cutting-edge techniques to solve complex problems in computational biology. The position emphasizes research innovation, collaboration across scientific domains, and scaling ML systems for real-world impact in medicine development.

Isomorphic Labs United Kingdom

Hybrid Permanent

Research Associate in Machine Learning for Protein Design

Develop and apply machine learning and structural bioinformatics methods for generative protein design, contributing to the ProteinCAD framework. Focus on diffusion and flow-based models to enable programmable protein scaffolds for nanoscale materials assembly. Work within a multidisciplinary, collaborative research consortium spanning computational and experimental domains.

Imperial College London London, United Kingdom £50 – £59 pa

Contract

PhD Studentship: Machine Learning Accelerated Inverse Design of Graphene Nanoribbons for Green Energy

This PhD studentship focuses on using machine learning to accelerate the inverse design of Graphene Nanoribbons for green energy applications. The project aims to develop AI-guided methods to rapidly discover high-efficiency thermoelectric materials, leveraging interdisciplinary expertise in physics, engineering, and computer science.

University of Warwick Coventry, University Of Warwick, Midlands Of England, United Kingdom £21,805 pa

On-site Contract

PhD Studentship: Machine Learning Accelerated Electronic Transport Calculations For Complex Materials

This PhD studentship involves using machine learning, DFT, and Boltzmann transport methods to predict and accelerate the computation of electronic properties in complex materials. The project is part of the HetSys Centre for Doctoral Training, focusing on interdisciplinary research with real-world impact in areas like energy, sustainability, and advanced materials.

University of Warwick Coventry, University Of Warwick, Midlands Of England, United Kingdom £21,805 pa

On-site Contract