301 to 325 of 2,239 Machine Learning Jobs in England

pragmatism, we aim to support the next generation of advanced materials critical to building a more sustainable future. You'll be joining our team of nine as a senior ML engineer. This role grants you a significant degree of autonomy, and influence over the development and direction of the platform and product. We're building a SaaS product that will … Engineering, AI, Math, Physics, or similar - or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing e.g. AWS, Azure Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new … ideas and ML concepts to the rest of the team Technologies We Use Machine Learning: Python/PyTorch CI/CD: Github, Github Actions. Frontend/Backend: TypeScript with React/Next.js and Express/Prisma. Infrastructure: Docker, Kubernetes, Terraform (AWS). Database: PostgreSQL. Salary £85,000-130,000 depending on experience. Even if you don't have More ❯

feed into Hastings' market-leading pricing activities. This role is within a combined team of Actuaries and Data Scientists championing the adoption of the latest machine learning (ML) techniques to leverage powerful insights from vast amounts of customer information and augment traditional modelling techniques. The Lead Data Scientist will combine their knowledge and understanding of data science concepts … Scientists Support Senior Leaders in the delivery of strategic objectives Essential skills/experience: Strong technical modelling skills Proven track record of delivering commercial value Keen interest in emerging ML techniques and how these can be used within Underwriting & Pricing Strong experience using Python and ML libraries to build data science/machine learning products Strong senior stakeholder More ❯

What if you could use machine learning to predict human behaviour, not in theory, but in commercially critical decisions that shape what people buy Building the next generation of decision intelligence software, leveraging large scale simulations and behavioural modelling to help global companies … understand how customers respond to pricing, product mixes, and promotions. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing and scaling the ML systems that power this transformation.You'll work closely with Data Scientists, Engineers, and Product teams to build robust, production grade models that deliver real time insights through a modern SaaS … that demand both depth and pragmatism. We're looking for someone with strong Python skills, experience with cloud based data processing, and a track record of delivering reliable, scalable ML systems. Familiarity with tools like PyTorch, scikit-learn, and modern ETL workflows is key. If you've worked in pricing, RGM, or simulation heavy domains, even better. Flexible hybrid setup More ❯

Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision … cross-org collaborative project is synergistic with TRI's robotics division's efforts in Diffusion Policy and Large Behavior Models (LBM). Responsibilities Support the design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from … time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end More ❯

Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision … stack. This cross-org collaborative project is synergistic with TRIs robotics divisions efforts in Diffusion Policy and Large Behavior Models (LBM). Responsibilities Support the design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from … time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end More ❯

Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision … cross-org collaborative project is synergistic with TRI's robotics division's efforts in Diffusion Policy and Large Behavior Models (LBM). Responsibilities Support the design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from … time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end More ❯

Solution Architect - AI & Machine Learning Salary: Very competitive + bonus & benefits A Solutions Architect in Artificial Intelligence is required by a FTSE 250 giant with B2B & B2C business offerings. The company are looking to quickly accelerate the adoption of AI technology across the company, in which this role will play a key part. Reporting into the Group AI … context of AI projects Still hands on, comfortable in rolling up your sleeves Working in an Agile environment Strong understanding of the Architectures that underlie different parts of AI & Machine Learning solution development Strong Interpersonal Skills with the ability to influence within a large corporate environment If this Solutions Architect role with focus in Artificial Intelligence development sounds More ❯

o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering … delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of … on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable More ❯

o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering … delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of … on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable More ❯

with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a … AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with the latest advancements in AI and machine learning technologies We think you'll be successful in this role if you have some of the following Proven experience in AI and machine learning, with More ❯

with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a … AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with the latest advancements in AI and machine learning technologies We think you'll be successful in this role if you have some of the following Proven experience in AI and machine learning, with More ❯

us on our mission and shape the future! Why the Cohere EPM role? As our Generative Machine Learning (GenML) organization continues to grow and tackle more ambitious ML programs, we are looking for an Engineering Program Manager (EPM) to join the team! At Cohere, EPMs are pivotal to our success, being seen as operational experts specializing in cross … Manager, you will: Establish, improve, and scale foundational team-level and program-level processes that allow the Generative Modeling teams to execute better and faster Partner directly with Gen ML modeling leadership & Members of Technical Staff on efforts to design, train and improve our core generative models Run cross-functional, oftentimes company-wide programs, collaborating and coordinating with cross-functional … Model Efficiency and Model Serving on cross-team planning and execution to deliver Generative models Troubleshoot cross-team challenges and build dependable partnerships both within and outside the Generative ML organization Both own and enable a useful communication flow of priorities, ideas, and knowledge throughout all layers of the tech organization Respond quickly to program-level changes, clarifying new scope More ❯

us on our mission and shape the future! Why the Cohere EPM role? As our Generative Machine Learning (GenML) organization continues to grow and tackle more ambitious ML programs, we are looking for an Engineering Program Manager (EPM) to join the team! At Cohere, EPMs are pivotal to our success, being seen as operational experts specializing in cross … Manager, you will: Establish, improve, and scale foundational team-level and program-level processes that allow the Generative Modeling teams to execute better and faster Partner directly with Gen ML modeling leadership & Members of Technical Staff on efforts to design, train and improve our core generative models Run cross-functional, oftentimes company-wide programs, collaborating and coordinating with cross-functional … Model Efficiency and Model Serving on cross-team planning and execution to deliver Generative models Troubleshoot cross-team challenges and build dependable partnerships both within and outside the Generative ML organization Both own and enable a useful communication flow of priorities, ideas, and knowledge throughout all layers of the tech organization Respond quickly to program-level changes, clarifying new scope More ❯

and infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology. Implement high-performance ML algorithms optimised for massive-scale, ensuring reliability, efficiency, and scalability. Design, develop, and maintain robust experimentation pipelines enabling rapid iteration, precise evaluations, and reproducible research outcomes Refactor and scale prototype … forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field. Culture Insight What we are doing is extremely hard. Prima Mente is for … the-art machine learning methodologies and proven experience in translating them into practical solutions. Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency. Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilization. Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing. Deep expertise in modern ML frameworks More ❯

identify new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies. What you'll be doing Develop and implement machine learning products in the cloud that improve client experiences and boost colleague productivity in real-time. Continuously monitor, retrain, and optimize existing models to ensure optimal performance. Partner … intelligently and effectively. About you You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machine learning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering … in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. More ❯

identify new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies. What you'll be doing Develop and implement machine learning products in the cloud that improve client experiences and boosts colleague productivity in real-time. Continuously monitor, retrain, and optimise existing models to ensure optimal performance. Partner … intelligently and effectively. About you You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machine learning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering … in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. More ❯

resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields Key Responsibilities: Lead significant … results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large … scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills and the ability to solve complex problems efficiently. Terms of Appointment: You must have the More ❯

bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. The Role As a Senior ML Software Engineer in the DH Team, you will focus on building and scaling the platform-facing product that manages the full lifecycle of Aqemia's predictive models, our core scientific … assets. You'll scale and industrialize ML/deep learning models developed by research scientists, so they can be efficiently served to our Drug Hunter community. You will play a critical role in the development, deployment, and maintenance of single predictors, ensuring they are robust, reproducible, and seamlessly integrated into the platform that drives our drug discovery engine. This … role is deeply technical and foundational to our platform's performance, reliability, and scalability. What you'll do Design and implement ML product and infrastructure to support the training, evaluation, deployment, and versioning of predictive modelsIndustrialize and optimize ML/deep learning models developed by scientists, making them scalable and cost-efficient in production Collaborate closely with scientists to More ❯

collect. Efficient, targeted and cost-effective access to data at scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. We are a … development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within our engineering teams to help solve domain specific data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity … frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape the our data strategy for data acquisition (real and synthetic), validation and ML training Develop metrics and frameworks to understand the distribution and diversity of data Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate More ❯

JOB SUMMARY Iambic Therapeutics is hiring a Machine Learning Scientist II or Senior to add clinically relevant imaging to our Enchant platform. You will design and build models that learn from medical images and combine them with multimodal biomedical data to support drug discovery and clinical decision making. This position is remote, with a preference for candidates in … code, documentation, and internal presentations; mentor colleagues in vision and multimodal ML. REQUIRED QUALIFICATIONS PhD with 3+ years (or MS with 5+ years) of industry experience in Computer Vision, Machine Learning, Biomedical Engineering, or related field. Solid experience with deep learning for images, including self supervised pre training, Vision Transformers, or vector quantization methods. Hands on work … ability to work in cross disciplinary teams. PREFERRED QUALIFICATIONS Familiarity with multimodal transformers. Experience aligning image embeddings with molecular or clinical endpoints. Contributions to open source computer vision or ML projects. ABOUT IAMBIC THERAPEUTICS Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and More ❯

and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based … empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and … of an industry-first global analytics programme Develop and deploy automated code pipelines, from data acquisition through cleaning and preparing data for modelling, through to visualisation Help to productionise machine learning models Work closely with a great programme team - project lead, data scientists and analysts - and interface with client technology counterparts Identify ways to improve data reliability, processing More ❯

innovation, and customer focus. We’re proud to be driving the future of data with cutting-edge technology and a passionate team. Overview: Ready to kickstart your career in machine learning and AI? Join Matillion as an AI Engineer Apprentice and gain hands-on experience building real AI solutions while learning on the job. You’ll be … where you’ll work on exciting projects, learn from experienced mentors, and grow your skills in a fast-paced tech environment. This apprenticeship offers a unique opportunity to combine learning with real-world experience in one of the most in-demand areas of tech. Responsibilities: Design, prototype, and test machine learning models. Run experiments to improve performance … Stay up to date with AI trends and contribute fresh ideas. Desirable skills: Some experience or knowledge in software, data, or tech-related fields. Python skills and interest in machine learning tools and frameworks. Curious about large language models (LLMs), prompt engineering, or AI evaluation. Any exposure to cloud tools or MLOps is a bonus. Eager to learn More ❯

We are looking for a Senior Software Engineer to lead the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution … implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability Build processes for extracting, cleaning and transforming data (SQL/Python) Optimize model parameters and architectures for maximum efficiency and accuracy … Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and machine learning Present findings to clients through written documentation, calls and presentations Be an example of software engineering best-practice e.g. Git/Docker/cloud deployment Contribute to proposals for exciting new data science opportunities Provide direction More ❯

complex geospatial data, and offers real-time or near-real-time insights. You will have the opportunity to work on cutting-edge technologies, including distributed computing, cloud infrastructure, and machine learning, to deliver a world-class platform that powers critical data-driven applications. Key Responsibilities: Platform Development & Optimization: Design, develop, and optimize the core software platform to handle … on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights to end-users. Optimize data flows and streaming … Azure, GCP) for big data processing and platform deployment. Strong knowledge of data warehousing, data lakes, and data pipeline design for large-scale data integration and storage. Familiarity with machine learning and AI techniques for data analytics (e.g., classification, regression, clustering, anomaly detection). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying scalable applications. Geospatial More ❯

at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate … across the business to deliver best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems … We’re Looking For Proficiency in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯