1 to 25 of 26 Transfer Learning Jobs in the UK

blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for a Machine Learning Engineers at Senior to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support … out automated build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. What's the job? Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well written documentation that meets our needs Identify work and … science projects and manage deliverables What you'll bring Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT More ❯

blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for a Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. … out automated build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. What's the job? Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well written documentation that meets our needs Identify work and … science projects and manage deliverables What you'll bring Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT More ❯

a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. … code and carrying out automated builds and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Responsibilities Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well-written documentation that meets our needs Identify work and … on multiple data science projects and manage deliverables Qualifications Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling, and software architecture Solid understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT More ❯

UKcaravans4hire and Bachcare in New Zealand. We unite under four core company values that serve as the foundation of everything we do: Being One Team, Owning It, Communicating Honestly. Learning, Growing, and Innovating. These values ensure we remain true to our original ethos and ensure we stay true to our Customers, Owners and Colleagues alike. About the Principal Data … You will provide thought leadership, mentor team members, and work cross-functionally to influence both technical and business strategy. You will lead the development and deployment of advanced machine learning and AI solutions, ensuring they are scalable, robust, and aligned with business priorities. This role is suited to a deeply experienced, commercially-minded individual who combines strong technical expertise … develop less experienced data scientists, fostering technical and professional growth Champion ethical AI, explainability and model governance throughout the lifecycle of our solutions Contribute to a culture of continuous learning, experimentation and data-informed decision making Skills and Qualifications: We are looking for those who can share in our company goals, values and ethos, who can grow alongside us More ❯

Accountabilities: Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications. Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL). Evaluate agent performance in the … context of decision making, collaboration, competition, uncertainty. Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment. Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums. Communicate technical concepts and results to technical and non … technical audiences. Essential skills/experience: Advanced degree in computer science, data science, artificial intelligence, machine learning or related fields. Excellent coding skills in languages such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch More ❯

your mark by shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenges. Senior Data Scientist We seek a senior machine learning research scientist to join a collaborative project between the Wellcome Sanger Institute and Open Targets (targets ( This project aims to leverage datasets internally generated at the Sanger Institute and … understanding of the training of large-scale ML models and a track record of undertaking large data-science projects. You will be responsible for: Independently managing and leading machine learning research projects and writing outcomes in a scientific publication for submission to journals or machine learning conferences (ICLR, ICML, CVPR, etc). Collaborating with team members in proposing … developing, and evaluating new machine learning models that enable understanding single-cell data and its application in drug discovery. Working with Ph.D. students and postdocs in collaborating teams on developing solutions for interdisciplinary scientific problems in biology as well as providing supervision and training to junior members of the team. Contributing to writing scientific papers on biotechnology and biology. More ❯

deliver life-changing science to solve some of humanity’s greatest challenges. We seek a Senior or Principal Data Scientist to deliver a project at the intersection of machine learning and biology at Wellcome Sanger Institute. The position is for a two year fixed term contract working on a project funded by Open Targets within Mo Lotfollahi's team … understanding of the training of large-scale ML models and a track record of undertaking large data-science projects. What you'll be doing: Independently manage and lead machine learning projects and write outcomes in a scientific publication for submission to journals or machine learning conferences (ICLR, ICML, CVPR, etc). Be responsible for the design of machine … learning tools according to requirements specified by the scientific leadership of the group. To communicate the results through other relevant means, for example, presenting posters at international scientific meetings and meetings with collaborators Collaborate with team members to propose, develop, and evaluate new machine learning models that enable understanding single-cell data and its application in drug discovery More ❯

Team: Tech Hours: Full time Reports to: Defect Detection Team Lead Location: Exeter or Bristol, minimum of 3 days in the office. Role Overview: As a Machine Learning Engineer at DeGould you will be responsible for building and maintaining our labelling, training and production inference data pipelines to produce high quality datasets, models and services to power our automated … Vision: DeGould’s vision is to be the standard for new vehicle inspection in the automotive sector. Key Responsibilities: The main deliverables of the role are: Deliver performant machine learning models for customers. Building capabilities to monitor and evaluate model performance and metrics. Detailed duties of the role include: Write production, robust, readable and extendable code to support machine … learning pipelines. Use industry best practices and seek to implement improvements across the machine learning lifecycle. Continuous evaluation of models in production and system performance analysis. Proactively seek technical solutions that solve customer problems. Stay up to date and evaluate opportunities to apply the latest tools, research, methods and technologies. Work across multidisciplinary teams to deliver against the More ❯

mark by shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenges. Principal Research Data Scientist We seek a Principal Machine Learning Research Data Scientist to join a collaborative project between the Wellcome Sanger Institute and Open Targets. This project aims to leverage datasets generated at the Sanger Institute and publicly … disease and healthy states. This involves understanding the training of large-scale ML models and managing large data science projects. You will be responsible for: Managing and leading machine learning research projects, publishing outcomes in scientific journals and conferences (ICLR, ICML, CVPR, etc.). Collaborating with team members to propose, develop, and evaluate new ML models for understanding single … and strategic thinking. Strong networking, influencing, and relationship-building skills. Commitment to inclusivity and respect. Relevant publications from the group include: Mapping single-cell data to reference atlases by transfer learning. Nature Biotechnology. scGen predicts single-cell perturbation responses. Nature Methods. Biologically informed deep learning to query gene programs in single cell atlases. Nature Cell Biology. #J More ❯

Machine Learning Engineering Manager (Operations) Join to apply for the Machine Learning Engineering Manager (Operations) role at THG Ingenuity . About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform includes three products: THG Commerce, THG Studios, and THG Fulfilment. Each offers a … Procter & Gamble. Role Overview The ML Manager (Operations) leads multiple squads covering Fraud, Customer Experience (CX), and Logistics. You will oversee a cross-functional team focused on leveraging machine learning to enhance business operations, including developing AI-driven solutions for fraud detection, customer support, and logistics optimization. Key Responsibilities Lead, mentor, and manage a team of machine learning professionals. Define and execute the machine learning strategy aligned with business goals. Oversee the entire lifecycle of ML projects from conception to deployment and monitoring. Guide the team in building, training, and deploying models. Ensure best practices in data preparation, feature engineering, and model validation. Establish workflows for deployment, monitoring, and scaling of models. Qualifications Proven experience as More ❯

Postdoctoral Fellow: Neurodegenerative Disease Spatial Transcriptomics and Machine Learning 3 days ago Be among the first 25 applicants Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenges. We are seeking a Computational … Postdoctoral Fellow to join the Bayraktar and Lotfollahi labs at the Wellcome Sanger Institute to apply cutting edge machine learning models to large-scale single cell and spatial transcriptomics datasets of neurodegenerative diseases. Supported by Open Targets, you will have access to novel cell atlassing datasets of patient tissue samples and close collaborators in biology and machine learning. This … diseases. The Lotfollahi lab leverages AI and advanced experimental techniques to engineer cells and modulate their response to disease and perturbations. The team has a strong background in machine learning models for single cell and spatial transcriptomics. Open Targets is a public-private partnership involving the Wellcome Sanger Institute, a world-leading genomics institution, EMBL’s European Bioinformatics Institute More ❯

and prefer all that it entails over a job in a large corporation ️ You are excited about Generative AI and what the future holds About the role : Develop Deep Learning solutions Develop the methodology and assessment criteria to measure solution performance Track and implement advancements in Deep Learning and Computer Vision Help shape the data science team as … it scales About you : Current or recent experience in a tech startup or scale-up with a fast-paced environment Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.) Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python More ❯

and prefer all that it entails over a job in a large corporation ️ You are excited about Generative AI and what the future holds About the role : Develop Deep Learning solutions Develop the methodology and assessment criteria to measure solution performance Track and implement advancements in Deep Learning and Computer Vision Help shape the data science team as … it scales About you : Current or recent experience in a tech startup or scale-up with a fast-paced environment Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.) Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python More ❯

developed solutions. What you bring: The ideal candidate for this Research Engineer (Computer Vision) role is someone who brings a wealth of knowledge from their academic background in Machine Learning/Computer Vision/Geometry Processing or related mathematical disciplines. With 1-2 years of experience under your belt, you have developed computer vision algorithms that process image and … as OpenCV, Open3D, Tensorflow, PyTorch is a must. Above all, your ambition and hunger for growth and development will drive you to excel in this role. Masters in Machine Learning/Computer Vision/Geometry Processing or related mathematical disciplines. 1-2 years experience developing computer vision algorithms that process image and 3D data. Experience with at least one … of our core areas: Deep Learning (CNNs, GANs, RNNs, transfer learning), 3D Reconstruction (stereo, bundle adjustment, SLAM), Geometry Processing (meshing, parameterisation, approximation), Computational Photography (image enhancement, denoising). Strong programming skills in Python and/or Modern C++. Experience with libraries such OpenCV, Open3D, Tensorflow, PyTorch. Ambition and a hunger for growth and development. Can provide examples More ❯

the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning … integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. BASIC QUALIFICATIONS - 6+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural … deep learning methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and material More ❯

PDE) Team to deliver first class coaching and training for our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecycle—from business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as … well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face ) and data manipulation tools ( Pandas, NumPy ), as well as version control, containerisation … help others succeed. Personality and Attitude A self-starter and self-manager who can engage people, keep them engaged and progressing through the qualification. Want to teach and ensure learning is taking place. A can-do and upbeat attitude to work, colleagues, clients and managers. An inquisitive mind, able to find things out and problem solve. Solutions focused with More ❯

the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning … in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - PhD in computer science, machine learning, engineering, or related fields - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - Material contributions to the CV/ML/AI field More ❯

Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply locations EMEA - United Kingdom - Birmingham EMEA - United Kingdom - Offsite/Home EMEA - United Kingdom - London - Agar St EMEA - United Kingdom - Newbury time type Full time posted on Posted Yesterday job requisition id 25WD88887 Job Requisition ID # 25WD88887 Position Overview As we embark on a multi … Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at … novel and creative approaches. Model Development: Develop ML models, building on the latest published research. Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning. Integration: Integrate existing ML models into novel applications. Application Development: Develop and deploy applications that integrate AI/ML technology or models. Problem Solving: Apply ML methods to More ❯

Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply locations EMEA - United Kingdom - Birmingham EMEA - United Kingdom - Offsite/Home EMEA - United Kingdom - London - Agar St EMEA - United Kingdom - Newbury time type Full time posted on Posted Yesterday job requisition id 25WD88887 Job Requisition ID # 25WD88887 Position Overview As we embark on a multi … Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at … novel and creative approaches. Model Development: Develop ML models, building on the latest published research. Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning. Integration: Integrate existing ML models into novel applications. Application Development: Develop and deploy applications that integrate AI/ML technology or models. Problem Solving: Apply ML methods to More ❯

Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at … novel and creative approaches. Model Development: Develop ML models, building on the latest published research. Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning. Integration: Integrate existing ML models into novel applications. Application Development: Develop and deploy applications that integrate AI/ML technology or models. Problem Solving: Apply ML methods to … best practices. Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development. Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement. Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ More ❯

Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at … novel and creative approaches. Model Development: Develop ML models, building on the latest published research. Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning. Integration: Integrate existing ML models into novel applications. Application Development: Develop and deploy applications that integrate AI/ML technology or models. Problem Solving: Apply ML methods to … best practices. Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development. Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement. Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ More ❯

cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision. Conduct research and experiments on our advanced compute infrastructure, exploring novel ideas in multimodal representation learning, transfer learning, and more. Collaborate closely with our world-class teams, learning from and contributing to their expertise in the field. You are an ideal candidate … Possess exceptional software engineering skills, with a proven track record of building robust and scalable systems. Have a strong command of Python and are well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities. Knowledge of distributed training strategies, especially for large-scale multimodal models. Familiarity with autoregressive models, particularly … research. Bonus: Experience in writing efficient GPU kernels using CUDA, optimising performance for multimodal tasks. This role is perfect for you if you: Have a deep passion for machine learning and its potential to impact various industries through multimodal applications. Enjoy tuning and optimising large multimodal models, and have experience building evaluations to measure their performance. Are comfortable diving More ❯

Machine Learning Applied Researcher – Diffusion Models & Materials Location: London Lab (5 days a week with some hybrid flexibility) Salary: £65,000–£90,000 Experience: Recent PhD graduate or 1–2 years industry experience A well-funded London-based startup operating at the intersection of machine learning, computer vision, and 3D rendering is hiring an Applied Machine Learning … pre-trained and custom components Collaborating with data capture and engineering teams to shape end-to-end pipelines Staying current with advances in diffusion models, vision transformers, and multimodal learning What we’re looking for A recent PhD (or equivalent experience) in Machine Learning, Computer Vision, or a related field Experience across 3D graphics, rendering, or materials/… textures is required Experience implementing and training diffusion or generative image models Strong Python skills and familiarity with frameworks like PyTorch, JAX, or TensorFlow Understanding of transfer learning, computer vision, and image processing techniques Ability to translate complex research into scalable, production-ready solutions Why join this team Work with a unique, high-quality dataset trusted by top More ❯

Machine Learning Applied Researcher – Diffusion Models & Materials Location: London Lab (5 days a week with some hybrid flexibility) Salary: £65,000–£90,000 Experience: Recent PhD graduate or 1–2 years industry experience A well-funded London-based startup operating at the intersection of machine learning, computer vision, and 3D rendering is hiring an Applied Machine Learning … pre-trained and custom components Collaborating with data capture and engineering teams to shape end-to-end pipelines Staying current with advances in diffusion models, vision transformers, and multimodal learning What we’re looking for A recent PhD (or equivalent experience) in Machine Learning, Computer Vision, or a related field Experience across 3D graphics, rendering, or materials/… textures is required Experience implementing and training diffusion or generative image models Strong Python skills and familiarity with frameworks like PyTorch, JAX, or TensorFlow Understanding of transfer learning, computer vision, and image processing techniques Ability to translate complex research into scalable, production-ready solutions Why join this team Work with a unique, high-quality dataset trusted by top More ❯

Social network you want to login/join with: Machine Learning Applied Researcher, london col-narrow-left Client: Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 28.06.2025 Expiry Date: 12.08.2025 col-wide Job Description: Machine Learning Applied Researcher – Diffusion Models & Materials Location: London Lab (5 days a … week with some hybrid flexibility) Experience: Recent PhD graduate or 1–2 years industry experience A well-funded London-based startup operating at the intersection of machine learning, computer vision, and 3D rendering is hiring an Applied Machine Learning Researcher. The team is building next-generation tools that use image-based methods to capture and reproduce the physical … pre-trained and custom components Collaborating with data capture and engineering teams to shape end-to-end pipelines Staying current with advances in diffusion models, vision transformers, and multimodal learning What we’re looking for A recent PhD (or equivalent experience) in Machine Learning, Computer Vision, or a related field Experience across 3D graphics, rendering, or materials/ More ❯