1 to 25 of 97 Machine Learning Jobs in Cambridge

preclinical, clinical, external).Contribute to translational programs across disease areas and communicate modelling insights to influence decision-making.Stay current with advances in AI/ML and their application to ADME, PK/PD, and drug discovery and development, and proactively evaluate and bring appropriate innovation into practice to improve efficiency … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language ...

team in Cambridge working on cutting-edge machine learning projects from concept through to deployment.The Role:Research and develop innovative AI/ML solutions for challenging technical problems.Design, train and evaluate machine learning models across a variety of applications.Rapidly prototype, test and optimise new ideas.Analyse research … papers and apply the latest ML techniques.Design experiments, interpret results and present technical findings.Requirements:Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject.Commercial or research experience in Machine Learning (industry, PhD, MSc or personal projects).Strong Python programming skills.Experience with one or more ML ...

safer medicines for millions of patients worldwide? As a Senior Expert I or Senior Expert II Data Science, you will apply advanced artificial intelligence, machine learning, and computational modelling to tackle complex scientific challenges and influence critical decisions across drug discovery and early development. Working within a highly … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

continued development of a range of technologies, a scientific technology development company, based in Cambridge, are currently looking for a skilled and experienced Machine Learning Expert who will be able to apply a unique Machine Learning approach on life improving technologies.In the past you would have … applied your Machine Learning techniques to a range of different applications. These could include deep neural networking, statistical signal processing, artificial intelligence, data science, machine learning or other complex fields.As you will be applying your development skills to a number of areas, we are happy with ...

#LI-Onsite The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We are seeking an enthusiastic AI/ML scientist with deep expertise in digital pathology and a strong curiosity for translational research … tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.Stay current with advances in computational pathology, AI/ML, and spatial biology technologies; contribute to scientific publications; and present results at internal and external scientific conferences.Requirements:Ph.D. in Machine Learning, Computer Science ...

create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through … anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains ...

Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...

#LI-Onsite The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We are seeking an enthusiastic AI/ML scientist with strong curiosity for AI-driven drug discovery to join the AI & Innovation … insights from complex multi-modal datasets and advance our target and biomarker discovery efforts.Job Description Key responsibilities:Design, develop, and apply advanced AI/ML approaches to extract actionable insights from pre-clinical, clinical and real-world evidence datasets.Demonstrate value of innovative AI techniques in the context of drug target ...

safety risks, refine clinical trial design, and significantly shorten development cycles. The AI4R team leads BR in exploring and applying advanced AI and ML methodologies to generate novel drug discovery insights, and to speed and improve drug discovery efficiency whilst focusing on patients’ needs. AI4R partners with drug discovery teams … Applied AI group of AI4R will be tasked with strong technical, team and project leadership, aligning with biomedical subject matter experts to deeply understand ML opportunities in drug discovery, assessment of the model landscape, leading model benchmarking, and applying the right AI approaches, algorithms, models and workflows to maximize impact ...

data scientists and partner closely with biology, translational research, data sciences, IT, and discovery platform teams. They will help define and operationalize AI/ML strategy for discovery applications, including generative and agentic AI. This leader will also contribute significantly to data generation, curation, and engineering strategies that enable scalable … Science, Molecular Biology, Genetics, Biochemistry, Engineering, or a related quantitative or life sciences discipline.6+ years of relevant experience applying computational biology, bioinformatics, AI/ML, statistics, or data science to drug discovery, translational research, biotechnology, pharmaceutical R&D, technology, or academic research.Experience leading or managing internal data scientists, computational biologists ...

Intelligence Engineering group are currently looking for a new Machine Learning Engineer to help with the development of a number of different ML/AI projects for the Medical Devices and Scientific sectors.We are looking for someone with a few years experience working in Machine Learning … Scientific fields.You will hold a degree from a leading university in Computer Science, Machine Learning, Artificial Intelligence or another subject that covered ML or AI projects.You’ll mainly be programming in Python, C++ and R, so past experience of this would be useful.It would be highly advantageous ...

Research, Cambridge, MA. This role combines hands-on delivery of robust image analysis workflows with advanced AI method development, including biomedical image segmentation, representation learning, foundation models, and scalable deployment. The successful candidate will embed within the research community as the team's scientific lead for imaging-AI, partnering … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands-on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do:Develop and deploy ML models, translating research into scalable, maintainable code ...

Oncology Data Science team in Biomedical Research supports the Oncology Disease Area with computational biology, Artificial Intelligence/Machine Learning (AI/ML), and data engineering for novel therapeutics across multiple drug modalities. As integrated scientists and engineers, we apply advanced analytics to pre-clinical and clinical projects … stakeholders.Proven history of contributions to the scientific community in the form of papers and/or conference presentations.Preferred Requirements: Experience with AI/ML approaches specific to the low molecular weight field including computational chemistry and application of generative AI in chemistry.Experience with cell line profiling, shRNA or CRISPR perturbation ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

looking for a software engineer with a strong analytical approach to join the team and help ensure the best performance with most recent Arm ML software, systems and IP.How will I contribute You will run & analyse ML/AI performance on next-generation Arm IP, and feed-back into … tools.Experience with profiling tools, performance counters, system traces or telemetry (differentiating).Experience with working on pre-silicon platforms such as FPGA (differentiating).Knowledge about ML/AI workloads can be a benefit, but can be learned on-the-job.Interpersonal SkillsPassion for analysis and improvement.Capable of working both in teams ...

team, you will work side-by-side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality-focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation … little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.Reporting Structure: You will report ...

Search has partnered with the Founder of a brand new Predictive Technologies company to build out its first hires in the Machine Learning team. Having previously built and scaled billion-dollar research organisations at two of the world's leading algorithmic trading firms, this is his first venture … company from day one and play a meaningful role in shaping its technology, culture and long-term vision. We are primarily looking for outstanding Machine Learning Engineers and Researchers with exceptional programming ability, particularly in C++, alongside strong machine learning, statistics and mathematical foundations. Our target ...

clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with SMEs and OncDS leadership.Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.Lead, manage … biotechnology industry.Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence (AI)/Machine Learning (ML) -driven analytics and multimodal data integration.Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines, with a focus on automation ...

growing organisation within the Defence Sector, based in Cambridge, is currently seeking a skilled Machine Learning Engineer or Artificial Intelligence Engineer to contribute to the ongoing development of defence, security, and intelligence technologies.This is an expanding organisation offering intriguing career development opportunities based on success. You will work … insurance, ongoing skills training, and other outstanding perks.If you seek daily challenges and the opportunity to work on projects at the forefront of the ML/AI field, we encourage you to apply now, as we anticipate significant interest in this role.For more information, please do not hesitate to call ...

solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … deep learning models for Advertising or related areas.Excellent communication and collaboration skills. Experience in the Advertising domain (preferred)Contributions to open-source ML projects (preferred)What's Roku's approach to hybrid working Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through ...

Machine Learning & AI Materials Scientist, you will be a part of Dassault Systèmes Gen7 vision and actively contribute towards its implementation. Materials AI is a strategically important, rapidly growing, and evolving core technology that will underpin the future of all Dassault Systèmes brands materials-related products and services. … computer science or related fields. • Practical experience with deep learning and machine learning algorithms and the use of popular AI/ML frameworks. • Experience in coding (web, cloud, algorithms, industry processes...). • Experience of modern development techniques and environments (agile, web, cloud...) – will be an asset.• Industry ...

level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play … Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work on cutting-edge AI challenges with a talented, multidisciplinary team Collaborate with leading academic and industry partners Access to high ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation.This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … frontier industrial AI.Develop new models, algorithms, evaluation methods, and system architectures.Build high-quality experimental systems and validated research prototypes.Publish at leading AI and machine learning venues and contribute to AVEVA’s patent and IP portfolio.Create benchmarks, datasets, and evaluation frameworks for industrial AI.Partner with leading AI labs, universities ...