26 to 50 of 206 Machine Learning Jobs in the East of England

Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi-modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning etc. Previous experience with Machine Learning at scale: Large Language Models More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

or Beerse, Belgium. Remote work options may be considered on a case-by-case basis and if approved by the Company. The AI/Machine Learning and Digital Health team within Johnson & Johnson Innovative Medicine R&D designs cutting-edge insights and solutions employing various data sources across … statistics, mathematics, or related disciplines. Demonstrated experience in driving research in computer vision, including the application and development of AI methods and optimization of machine learning models. Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, and OpenCV. Extensive experience … CNN), image segmentation (U-Net, Mask R-CNN), image classification (VGG, ResNet, Inception, EfficientNet), and feature extraction (SIFT, SURF, ORB). Experience with various machine learning techniques (including fully supervised, unsupervised, self-supervised, and weakly supervised learning) and specific architectures (Convolutional Neural Networks (CNNs), Vision Transformers (ViTs More ❯

to work in, even if you only have some of the experience listed below, please apply. The Role We are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building and … maintaining high performance and robust data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical … documentation for staff Qualifications: 3+ years of experience in software engineering, with a focus in data engineering or DevOps Demonstrated experience deploying and maintaining machine learning models in production Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred) Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred More ❯

the Cambridge office. This role focuses on maintaining and optimising the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python etc) for machine learning projects as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring optimal performance … issues, Working closely with the project manager to ensure efficient resource allocation, server utilisation and scaling across multiple teams, Collaborating with data scientists and machine learning engineers to understand their software requirements and provide guidance on best practices, Assisting in training team members on the capabilities and usage … with a startup mindset. Technology-wise, you will have experience in system administration, preferably with a focus on HPC platforms, GPU-based servers, and machine learning software environment as well as a familiarity with AI and HPC provisioning and management, both on-premises and in the cloud. You More ❯

Data Scientist/Computational Biologist to join an exciting start up team. The ideal candidate will have a strong background in biological data analysis, machine learning, and computational biology, with a focus on protein language models and next-generation sequencing (NGS). This role requires an individual who … to study molecular structures and optimise engineering approaches. Collaborate with biologists, data scientists, and engineers to drive innovative research and applications. Implement and optimise machine learning models for biological data interpretation. Work with large-scale biological datasets, ensuring accuracy and efficiency in data processing and analysis. Essential Qualifications … Biology, Bioinformatics, Data Science, or a related field. Strong background in biological data analysis with hands-on experience. Proficiency in machine learning (ML), Python, and related computational tools. Prior experience working with bio data and understanding biological processes. Familiarity with NGS technologies and sequencing data analysis (a major More ❯

Hours: Full Time DESCRIPTION The Artificial General Intelligence team (AGI) has an exciting position for a Senior Applied Scientist with a strong background in Machine Learning and Large Language Models to play a critical role in driving the deployment of state-of-the-art conversational systems. As part … Mentor and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Experience with neural deep learning methods and machine learning. Experience in … building machine learning models for business applications. Experience in applied research. Experience programming in Java, C++, Python or related languages. Experience in patents or publications at top-tier peer-reviewed conferences or journals. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow More ❯

in a scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of … such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Requirements Master's degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably More ❯

Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal … us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence/Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge … in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. More ❯

Software Engineer (Full Stack, Machine Learning) Cambridge Darktrace has more than 2,500 employees located globally. Founded by mathematicians and cyber defence experts in 2013, Darktrace is a global leader in cyber security AI, delivering complete AI-powered solutions in its mission to free the world of cyber … be driven to learn more as required. In this machine learning focused role, you will also be curating datasets and working with ML concepts and associated libraries, such as Pytorch. What experience do I need: We welcome applications from engineers with strong problem-solving and creative thinking skills More ❯

passionate about AI and data science, as well as ensuring fairness, transparency, and accuracy in AI-enhanced assessment? Are you excited about expanding language learning opportunities and contributing to the best of international practice? If so, we want to hear from you! We are Cambridge University Press & Assessment, a … University of Cambridge. Our Applied AI team is looking for a talented AI evaluation specialist to join our expanding team of validation specialists and machine learning engineers. As an AI Evaluation Scientist, you will play a critical role in evaluating and improving our AI-enhanced capabilities. Your expertise … s mission to expand learning opportunities for all. Desirable: Experience of evaluating AI-enhanced assessment and learning technologies. Experience of collaborating with ML engineers in the development and evaluation of AI models. Experience of assessment principles and evaluation methods. Experience of embedding standardized AI evaluation processes in an More ❯

design, we want to hear from you.We are on a bold digital transformation journey to redefine pharmaceutical R&D through the power of data, machine learning, and AI. As part of this mission, we are building a world-class digital R&D ecosystem that integrates scientific innovation with … explore new technologies, implement cutting-edge solutions, and influence the strategic direction of AI-driven design.Your key responsibilities- Developing and validating advanced AI/ML methodologies for molecular generation, prediction, and optimization.- Designing and implementing scalable computational pipelines, models, and tools to be used by the broader modeling and cheminformatics … artificial intelligence, computational chemistry, cheminformatics, or a related field.- 5+ years of postdoctoral experience.- Proven track record in developing and applying modern AI/ML methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch More ❯

we want to hear from you. We are on a bold digital transformation journey to redefine pharmaceutical R&D through the power of data, machine learning, and AI. As part of this mission, we are building a world-class digital R&D ecosystem that integrates scientific innovation with … new technologies, implement cutting-edge solutions, and influence the strategic direction of AI-driven design. Your key responsibilities Developing and validating advanced AI/ML methodologies for molecular generation, prediction, and optimization. Designing and implementing scalable computational pipelines, models, and tools to be used by the broader modeling and cheminformatics … artificial intelligence, computational chemistry, cheminformatics, or a related field. 5+ years of postdoctoral experience. Proven track record in developing and applying modern AI/ML methods (e.g., generative models, GNNs, active learning, foundation models) in a scientific context. Strong coding skills and experience with relevant ML frameworks (e.g., PyTorch More ❯

in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 with the subject line: “Application Support Request”. Role: AI/ML and Data Science Developer Job Type: Permanent Location: Stevenage (Hybrid) Number of hours: 40 hours per week – full time Are you looking for an exciting … opportunity as an AI/ML? Are you passionate about Data Science? We have an exciting role for you - AI/ML and Data Science Developer Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform … learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As a AI/ML and Data Science Developer , you are required to Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. You will also More ❯

to expand the knowledge base Any exposure to any of the following would be beneficial: Embedded Development, Hardware Development, RF, SDRs, Docker, Cloud technologies, machine learning or Mobile App Dev in iOS or Android (please ensure this is included on your CV) You must be in a position … Engineer - Graduate Considered Contribute to various technical tasks to support research and development objectives, gaining hands-on experience across software engineering, data science, and machine learning in a dynamic start-up setting. Work alongside team members to design and develop software solutions addressing the company’s unique challenges. … Develop techniques for data collection, preprocessing, and optimisation to support machine learning and algorithm development. Take responsibility for managing and maintaining operational company systems, primarily Linux-based. What this offers: An opportunity to join a success story in the making Joining founders who are well-versed in taking More ❯

to expand the knowledge base Any exposure to any of the following would be beneficial: Embedded Development, Hardware Development, RF, SDRs, Docker, Cloud technologies, machine learning or Mobile App Dev in iOS or Android (please ensure this is included on your CV) You must be in a position … Engineer - Graduate Considered Contribute to various technical tasks to support research and development objectives, gaining hands-on experience across software engineering, data science, and machine learning in a dynamic start-up setting. Work alongside team members to design and develop software solutions addressing the company’s unique challenges. … Develop techniques for data collection, preprocessing, and optimisation to support machine learning and algorithm development. Take responsibility for managing and maintaining operational company systems, primarily Linux-based. What this offers: An opportunity to join a success story in the making Joining founders who are well-versed in taking More ❯

DESCRIPTION The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance … mentor and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. - Experience with neural deep learning methods and machine learning. - Experience in … building machine learning models for business applications. - Experience in applied research. - Experience programming in Java, C++, Python or related languages. - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government More ❯

University of Birmingham, Tagomics' proprietary technology unlocks DNA-based disease-associated biomarkers spanning genetic, epigenetic, and fragmentomic features. In combination with advanced bioinformatic and machine learning approaches we can provide unique biological insights, and we already have exciting results from a range of cancer patient samples including blood … to create patient epigenetic profiles and discover novel biomarkers for both diagnostics and prognostics. You will gain exposure to cutting edge computational epigenetics and machine learning approaches and explore the latest bioinformatic developments for biomarker discovery, NGS and epigenetic data analysis. We encourage applicants that don’t meet … genomics, liquid biopsy or biomarker discovery and relevant publications in peer-reviewed journals Familiarity with cloud environments and bioinformatics pipelines (e.g. Nextflow) Familiarity with machine learning algorithms Familiarity with variant calling packages and/or gene panels We are a small but rapidly expanding company – by joining us More ❯

University of Birmingham, Tagomics' proprietary technology unlocks DNA-based disease-associated biomarkers spanning genetic, epigenetic, and fragmentomic features. In combination with advanced bioinformatic and machine learning approaches we can provide unique biological insights, and we already have exciting results from a range of cancer patient samples including blood … to create patient epigenetic profiles and discover novel biomarkers for both diagnostics and prognostics. You will gain exposure to cutting edge computational epigenetics and machine learning approaches and explore the latest bioinformatic developments for biomarker discovery, NGS and epigenetic data analysis. We encourage applicants that don’t meet … genomics, liquid biopsy or biomarker discovery and relevant publications in peer-reviewed journals Familiarity with cloud environments and bioinformatics pipelines (e.g. Nextflow) Familiarity with machine learning algorithms Familiarity with variant calling packages and/or gene panels We are a small but rapidly expanding company – by joining us More ❯

University of Birmingham, Tagomics' proprietary technology unlocks DNA-based disease-associated biomarkers spanning genetic, epigenetic, and fragmentomic features. In combination with advanced bioinformatic and machine learning approaches we can provide unique biological insights, and we already have exciting results from a range of cancer patient samples including blood … to create patient epigenetic profiles and discover novel biomarkers for both diagnostics and prognostics. You will gain exposure to cutting edge computational epigenetics and machine learning approaches and explore the latest bioinformatic developments for biomarker discovery, NGS and epigenetic data analysis. We encourage applicants that don’t meet … genomics, liquid biopsy or biomarker discovery and relevant publications in peer-reviewed journals Familiarity with cloud environments and bioinformatics pipelines (e.g. Nextflow) Familiarity with machine learning algorithms Familiarity with variant calling packages and/or gene panels We are a small but rapidly expanding company – by joining us More ❯

Darktrace Cyber AI Research Center. An ideal candidate has some prior experience writing news articles, technical blogs, white papers, or academic papers which cover Machine Learning, AI, or associated technologies. This is a hybrid role, with a compulsory attendance of 2 days a week in the Cambridge office. … do I need: We are looking for candidates who have experience writing material such as technical blogs, white papers, or academic papers which cover Machine Learning, AI, or associated technologies. You should also have: Experience creating technical diagrams and data visualization. Ability to communicate complex ideas effectively. A … your salary expectations for your next role? Do you have experience writing material such as technical blogs, white papers, or academic papers which cover Machine Learning, AI, or associated technologies? Please share any links if required More ❯

Job Overview: High-performance ML workloads on Arm CPUs require the co-development of algorithms and highly optimized CPU kernels. In CT-ML (Central Technology, Machine Learning), rapid kernel prototyping is crucial for exploring algorithms and assessing trade-offs between model accuracy and performance. Successful prototypes drive future … architecture development and serve as deliverables to Central Engineering for final production. Responsibilities: This position is part of a dedicated team within the CT-ML group focused on analyzing ML workloads and rapidly prototyping highly optimized CPU kernels to enhance model performance and accuracy. Required Skills and Experience: Strong interest … in creating efficient kernel development frameworks, including tools and testing methodologies. Deep understanding of CPU architecture. "Nice To Have" Skills and Experience: Knowledge of ML models and algorithms is a plus. Advanced degree or equivalent experience in Computer Architecture and Software. In Return: Arm offers an attractive relocation package and More ❯