101 to 125 of 3,710 Machine Learning Jobs in England

Our Shipamax Data Science team seeks a highly skilled and motivated Machine Learning Engineer with 2+ years' of experience. This team sits within Wisetech's Digital Document portfolio and develops AI-based software to extract information from documents, structuring critical logistics data that powers the seamless movement of … team of experienced data scientists and engineers passionate about solving complex real-world problems in a friendly and stimulating atmosphere. Job Overview As a Machine Learning Engineer, you will bring research into practice, developing new and improving existing machine learning models, expanding our existing product offerings. … data extraction software that meets and exceeds customer expectations. Responsible for the quality and ongoing evaluation of our data sets on existing and new - ML models in pre-launch and in production. Requirements MSc in Computer Science, other STEM subjects, or comparable work experience. 2+ years of working experience in More ❯

making cutting-edge tools accessible and enabling users to bring their boldest ideas to life with speed and precision. Role Overview As our Senior Machine Learning Researcher, you will play a key role in advancing our AI capabilities. You will keep pace with cutting-edge developments in the … AI and machine learning space, evaluating the latest research papers to identify what can be integrated into our product. Additionally, you will develop proprietary models and improved techniques as proof-of-concepts, pushing the boundaries of what's possible in our product. This role demands an advanced knowledge … of deep learning, latent diffusion, and the use of conditioning models, with a focus on practical application in the context of our product. Key Responsibilities Staying updated with recent advancements in machine learning and AI research, focusing on innovations relevant to image generation, rendering, and computer vision. More ❯

algorithms for Pangaea's core AI platform, PALLUX. This role requires a strong foundation in software engineering, and expertise in Machine Learning (ML), including Natural Language Processing (NLP). This role is an excellent opportunity for an individual who is passionate about innovation and eager to be part … Data can address through its PALLUX platform and solutions Maintain and implement the product roadmap according to respective requirements Design and adopt cutting-edge ML and NLP algorithms to address real-world challenges such as intelligence extraction and inference Productize, develop, optimize and deploy ML and NLP algorithms, supportive modules … AWS, Azure, Google Cloud Platform Experience with research communities and/or efforts, including having published papers (being listed as author) at AI/ML/NLP/CV conferences (e.g. NeuraIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, KDD, etc.) and biomedical journals Perks and Benefits Salary depending on experience. More ❯

engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large … Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy … and deep learning models for large scale customer facing product of features - Hands on experience with LLMs - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that More ❯

Domains org within the Alexa Conversational Assistants Services (CAS) org is looking for an Applied Science Manager 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 … experiment and drive productisation to deliver customer impact. Drive academic partnership with top tier Indian university as part of the org's AI/ML Center initiative. Participate in and drive science publications in peer-reviewed venues of repute. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine … , robotics, operations research, statistics, mathematics or equivalent quantitative field - 5+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience building complex highly-scalable systems that involve predictive models or applications of machine learning - Familiarity with large More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their … however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of … conversations, etc. This will involve writing for academic and non-academic audiences. Foster a nurturing environment for colleagues with less experience in DS/ML/Stats for them to grow and you to mentor. What you bring to the table Enthusiasm about using machine learning, especially deep More ❯

learning to drive innovation in the fintech space, we want to hear from you! Key Skills & Experience Required: Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle. Proven experience with CI/CD, DevOps, and MLOps, especially in supporting and … improving production systems Strong familiarity with web server and API designs for ML model deployments. Experienced in Real time - Data Science Applications. Proficient Python skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks.Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing … a Machine Learning Engineer, you will be a pivotal part of our team, focusing on: Experienced in Developing and deploying AI/ML models to improve efficiency and security in payment processes. Optimising the ML life cycle, ensuring seamless integration from development to production. Collaborating with cross-functional More ❯

Staff Software Engineer, GPU Performance, Core ML corporate_fare Google place London, UK Apply Minimum Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development and with data structures/algorithms (e.g., C++ or Python). 5 years of experience with Machine Learning (ML) design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Experience working with GPUs. Experience in a technical leadership role leading project teams and setting technical direction. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. … Experience with compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc.). Expertise in tailoring algorithms and ML models to exploit GPU strengths and minimize weaknesses. Knowledge of low-level GPU programming (CUDA, OpenCL, etc.) and performance tuning techniques. Understanding of modern GPU architectures, memory More ❯

Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to … LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You … diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a More ❯

wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready ML solutions to market. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Design and implement machine learning models … machine learning to time-series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k … De Novo), and standards like IEC 62304 or ISO 13485. Experience with MLOps practices and model versioning in compliant environments. Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX More ❯

and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions Shape the strategic direction of the ML team, driving innovation in AI-powered drug development Collaborate with senior leadership to align ML research with company goals and objectives Guide the development of … with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications and … contributions to top ML conferences (NeurIPS, ICML) Excellent communication skills, with the ability to represent technical expertise to both technical and non-technical stakeholders If you fit the bill and are interested, please apply with an updated CV More ❯

and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions Shape the strategic direction of the ML team, driving innovation in AI-powered drug development Collaborate with senior leadership to align ML research with company goals and objectives Guide the development of … with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications and … contributions to top ML conferences (NeurIPS, ICML) Excellent communication skills, with the ability to represent technical expertise to both technical and non-technical stakeholders If you fit the bill and are interested, please apply with an updated CV More ❯

University Assistant Professor in Machine Learning 2025-02-26 Cambridge The successful candidate will contribute to research and teaching in Information Engineering, developing an independent research portfolio, securing grants, and mentoring students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd … and 4th-year modules in machine learning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students. Research: The candidate will be expected to contribute to the research and teaching within Information Engineering. Assistant Professors are expected to develop their own research portfolio … undergraduate course, with an emphasis on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machine learning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep Learning More ❯

learning to drive innovation in the fintech space, we want to hear from you! Key Skills & Experience Required: Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle. Experienced in Real time - Data Science Applications is essential Proven experience with CI …/CD, DevOps, and MLOps, especially in supporting and improving production systems Strong familiarity with web server and API designs for ML model deployments. Proficient Python skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks. Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation … a Machine Learning Engineer, you will be a pivotal part of our team, focusing on: Experienced in Developing and deploying AI/ML models to improve efficiency and security in payment processes. Optimising the ML life cycle, ensuring seamless integration from development to production. Collaborating with cross-functional More ❯

Permanent £55,000 - £85,000 Hybrid Cambridgeshire, United Kingdom Updated on: 14-04-2025 ROLE OVERVIEW: We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be … responsible for driving the development of innovative machine learning methods for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. Develop and extend AI approaches that integrate structural and chemical data … industry experience in machine learning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯

As we expand our IT and data capabilities , we are looking for a Machine Learning Engineer to implement cutting-edge AI and ML solutions across our business. This is a unique opportunity to play a key role in integrating predictive analytics, statistical modeling, and automation to enhance operational … efficiency, forecasting, and decision-making. Key Responsibilities AI & ML Implementation – Develop and deploy machine learning models to improve operational efficiency, predictive maintenance, and demand forecasting. Predictive Analytics – Use statistical modeling and forecasting techniques to drive insights into production trends, supply chain optimization, and energy efficiency. Data-Driven Decision … Making – Collaborate with senior stakeholders to translate business challenges into AI/ML-driven solutions that improve manufacturing processes and business outcomes. End-to-End Model Deployment – Build, train, and optimize ML models using Python, TensorFlow, Scikit-learn, and other AI frameworks , ensuring scalability and integration with existing systems. Cross More ❯

excited by the challenge of teaching robots how to understand and manipulate the physical world? Do you want to build real systems that use machine learning and perception to grasp and interact in unstructured and unknown environments? Do you thrive in fast-paced, multidisciplinary teams solving hard problems … harshest and most complex environments imaginable. We're looking for a Machine Learning Robotic Manipulation Engineer to lead development of the core ML-based grasping stack for our robotic capture system. In this role, you'll research, design, and implement models and pipelines that enable perception-driven grasp … planning-bridging the gap between computer vision, motion planning, and real-world physical interaction with unknown objects. You'll work closely with Machine Vision, Robotics, Hardware, Systems, and Software teams, to take your models from the lab to orbit-from simulation to flight. If you're passionate about robotics More ❯

advance the organization’s goals. Plan, build, and evaluate machine learning pipelines for small molecule drug discovery, including the development of novel ML architectures. Train and assess ML-based interatomic potentials and integrate them with biomolecular simulation tools. Collaborate closely with team members in biomolecular simulation and computational … in drug discovery. Requirements PhD or postdoctoral experience in computational chemistry, molecular physics/engineering, computer science, or a related discipline with a strong ML for science focus; OR a Master’s degree plus 3+ years of relevant industry experience. Demonstrated track record in developing machine learning models … and graph neural networks for 3D atomic systems. Experience working with machine-learned potential energy surfaces. Proficiency with ML frameworks such as PyTorch or JAX. Strong background in scientific programming using Python. Excellent communication skills in English. Experience working in interdisciplinary scientific environments. Desirable Skills Experience curating quantum mechanics More ❯

advance the organization’s goals. Plan, build, and evaluate machine learning pipelines for small molecule drug discovery, including the development of novel ML architectures. Train and assess ML-based interatomic potentials and integrate them with biomolecular simulation tools. Collaborate closely with team members in biomolecular simulation and computational … in drug discovery. Requirements PhD or postdoctoral experience in computational chemistry, molecular physics/engineering, computer science, or a related discipline with a strong ML for science focus; OR a Master’s degree plus 3+ years of relevant industry experience. Demonstrated track record in developing machine learning models … and graph neural networks for 3D atomic systems. Experience working with machine-learned potential energy surfaces. Proficiency with ML frameworks such as PyTorch or JAX. Strong background in scientific programming using Python. Excellent communication skills in English. Experience working in interdisciplinary scientific environments. Desirable Skills Experience curating quantum mechanics More ❯

Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research and implement novel machine learning and … the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple … from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models. Minimum Qualifications 2+ years of building models for business application experience. PhD, or Master's degree and More ❯

Job ID: Amazon Web Services, Inc. Are you looking to work at the forefront of Machine Learning and … AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large … implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will- - Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges - Interact More ❯

Machine Learning Engineer | Research Platform: We are a tier 1 supplier for a well-known buy-side quant firm on the lookout for a Machine Learning Engineer (£475,000-£515,000) who is happy to work at the interface of cutting edge Machine Learning … the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine … Additionally, the candidate should be proficient in GPU programming for training and inference acceleration. They should also have experience with distributed training for scaling ML workloads, utilizing tools like Horovod. If this sounds interesting and applicable to your skillset, please apply or email a.cahill@gcstechtalent.com More ❯

Machine Learning Engineer | Research Platform: We are a tier 1 supplier for a well-known buy-side quant firm on the lookout for a Machine Learning Engineer (£475,000-£515,000) who is happy to work at the interface of cutting edge Machine Learning … the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine … Additionally, the candidate should be proficient in GPU programming for training and inference acceleration. They should also have experience with distributed training for scaling ML workloads, utilizing tools like Horovod. If this sounds interesting and applicable to your skillset, please apply or email a.cahill@gcstechtalent.com More ❯

Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and More ❯

Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and More ❯