Latest Machine Learning Engineer cambridge Jobs

Senior/Principal Machine Learning Scientist (Generative Modelling)

Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.

Relation Therapeutics London, United Kingdom

On-site Permanent

Lecturer or Senior Lecturer in Artificial Intelligence/Machine Learning

This role involves conducting high-quality research in artificial intelligence and machine learning, with opportunities to contribute to teaching at undergraduate and postgraduate levels. The position supports research in areas such as causal modelling, reinforcement learning, foundation models, and AI for science. The candidate will be expected to secure research funding and build national and international collaborations.

The University of Manchester Manchester, Northern England, United Kingdom £47 – £71 pa

Permanent

Postdoctoral Research Associate in Catalysis and Machine Learning

This role involves developing machine learning tools to investigate catalytic reaction mechanisms, focusing on homogeneous catalysis in organic chemistry. The researcher will work collaboratively with the Bures group at ICIQ, building on published proof-of-principle work. The position is based in the Department of Chemistry at the University of Manchester and supports a 24-month EPSRC-funded project.

The University of Manchester Manchester, Northern England, United Kingdom £37 – £46 pa

Hybrid Contract

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional data sources such as text and time series. Design and implement neural networks (e.g., LSTMs, Transformers) to extract predictive features and translate R&D into production solutions. Collaborate with stakeholders and mentor junior data scientists in a hybrid-working environment.

Capital One Nottingham, Nottinghamshire, United Kingdom

Data Scientist

This role involves leading the end-to-end development of predictive models, starting with customer churn and complaint propensity, within a subscription-based business. The Data Scientist will define methodologies, build scalable production-ready solutions, and establish the foundation for the company's data science function. Emphasis is on hands-on modelling, commercial impact, and independent ownership of the full lifecycle from concept to deployment.

Gleeson Recruitment Group London, United Kingdom

Research Associate: Medical Imaging AI - CAPTURE-PH RAIDA

This role involves refining and retraining existing cardiothoracic CT AI models to ensure they operate robustly across multiple clinical datasets. You will tackle issues like scanner heterogeneity, data quality, and model failure modes, and develop reproducible validation workflows. The position is part of the CAPTURE-PH programme, focusing on medical imaging AI for pulmonary hypertension.

University of Sheffield Sheffield, Hybrid, Northern England, United Kingdom £41 pa

Contract

Principal Data Scientist and ML Researcher

This role involves shaping data science strategy, generating novel research ideas, and leading the technical delivery of AI/ML solutions for defence problems. You will work autonomously, collaborate with cross-disciplinary teams, and manage junior team members.

Robert Half Gloucester, United Kingdom

Senior Scientist (In vitro / Cellular Pharmacology), Cambridge, MA

This role involves designing and implementing biological screening cascades for drug discovery programs, with a focus on biophysical, biochemical, and cellular assays. The scientist will bridge computational predictions with experimental validation, working closely with AI/ML teams and CROs to advance oncology and immunology projects from early discovery to clinical development. Key responsibilities include guiding assay development, interpreting complex pharmacological data, and supporting lead optimization across multiple therapeutic areas.

Isomorphic Labs England

Hybrid Permanent

Senior Scientist (In vivo Pharmacology & Translational Sciences), Cambridge, MA

This role involves leading translational biology strategies in oncology and immunology, bridging AI-driven drug design with experimental validation. You will design in vivo pharmacology studies, develop biomarker strategies, and manage CRO partnerships to generate robust data for clinical translation. The position plays a key role in advancing drug candidates from discovery through to clinical development by integrating biological insights with machine learning predictions.

Isomorphic Labs England

Hybrid Permanent

Solutions Architect, CSP GTM

Design and implement GPU-accelerated solutions for hyperscaler environments, with a primary focus on Google Cloud Platform. Develop proof-of-concepts and optimize GenAI, machine learning, and data science workloads across training and inference pipelines. Collaborate with engineering, product, and sales teams to integrate NVIDIA technology into enterprise computing architectures and support developer adoption through technical engagement and performance optimization.

NVIDIA Reading, United Kingdom

Infrastructure & Platform Specialist Solutions Architect (SSA)

This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on GenAI, MLOps, and LLMOps. The individual will guide enterprise customers through technical challenges, build MVPs, and lead deep-dive sessions during sales cycles. They will also contribute to product roadmaps, create technical content, and drive AI thought leadership through conferences and hackathons.

Databricks London, United Kingdom

Hybrid Permanent

Senior Specialist Solutions Architect (AI/ML)

Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.

Databricks London, United Kingdom

Hybrid Permanent

Solutions Architect, CSP GTM

Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and Google Cloud Platform (GCP) technologies, focusing on Generative AI and large-scale machine learning workloads. Engage with developers, data scientists, and technical leaders to optimize training and inference pipelines. Collaborate across engineering, product, and sales teams to integrate NVIDIA platforms into enterprise computing environments.

NVIDIA France

Financial Crime Risk Transaction Monitoring Control Owner - AVP

Design and optimise transaction monitoring systems to detect financial crime risks across Barclays UK and International. Develop statistical and machine learning models using tools like SQL, Python, and Spark, while ensuring compliance with AML regulations and governance standards. Collaborate with cross-functional teams to enhance detection capabilities and support strategic financial crime risk initiatives.

Barclays London, E14 5RB, United Kingdom

Financial Crime Risk Transaction Monitoring Control Owner

This role involves designing and optimising transaction monitoring systems to detect financial crime, using statistical and machine learning models. The individual will analyse data from multiple sources, improve detection accuracy, and ensure compliance with regulatory standards across Barclays UK and International. Collaboration with technical and non-technical stakeholders is key to shaping strategy and enhancing financial crime controls.

Barclays United Kingdom

On-site Permanent