401 to 425 of 2,850 Machine Learning Jobs in the UK

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 ❯

but requiring 3 days per week on-site in Wokingham. The ideal candidate will have good experience in the IT industry with a strong focus on Azure-based architecture, Machine Learning, and MLOps, Deep experience with Azure services, especially Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Data Lake, and Azure Synapse, Hands-on … experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, Strong understanding of MLOps concepts, including continuous integration/continuous, deployment (CI/CD) for ML, model versioning, monitoring, and retraining, Proficiency with Scripting and programming languages (Python, R, SQL, etc.), Experience with containerization (Docker) and orchestration (Kubernetes) for ML models, Knowledge of data engineering. 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 ❯

Job ID: AWS EMEA SARL (UK Branch) - F93 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? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities … capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities 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 with customers directly to understand … scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. Bachelor's degree in More ❯

managing project teams, building strong client relationships, providing technical guidance, ensuring successful project outcomes, consistently meeting deadlines, and budget constraints. You must have deep technical expertise in AI/ML/LLM, enterprise-grade architectural strategies, and a passion for solving complex business challenges. You'll also contribute to the growth of our practice, supporting business development efforts and staying … lead every decision wemake and action we take, guiding us to deliver impact how and where it mattersmost. Connect to your opportunity We are seeking a Senior GenAI/ML delivery lead for large UK clients. You will be instrumental in leading the design, development and every day product management of GenAI/ML solutions for some of the UK … advancements in AI, contributing to Deloitte's thought leadership and knowledge sharing initiatives. Connect to your skills and professional experience Technical Proficiency: Proven experience delivering production-ready AI/ML/LLM solutions, including model training, optimization, and deployment. Specific project examples required. Generative AI expertise: Experience leading the delivery of AI and LLMs in the financial service industry including 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 ❯

collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive decision-making and solve complex business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business … collaborating with cross-functional teams to implement long-term solutions. Skills & Experience: 1. Experience Over 3 years-experience in delivering Data Science projects using Python programming language, statistical and machine learning techniques, time series analysis and data visualisation and insight analysis. 2. Qualifications A Degree in Data Science, Computer Science, a related field or relevant professional experience 3. … break. Flexible work environment : Hybrid working model with flexible hours. Comprehensive perks: Annual bonus scheme, pension, regular social events, birthday treats, and a volunteering policy. Growth opportunities : Lots of learning and development opportunities More ❯

solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders in … and then in Kent once a quarter. Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable … deliver projects on time, to high standards. Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to SAGA and find ways to More ❯

Machine Learning Engineer, Prime Video Commerce Science Tech Job ID: Amazon Development Centre (London) Limited Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the world's leading digital video services, and we're just … exclusive service of Amazon's Prime Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights. Do you like inventing, growing and learning from world-class engineers and scientists? If so, we want to hear from you! This a hybrid applied science and engineering team that is developing bleeding edge AI solutions … automate workflows and innovate on behalf of our studios customers. This requires the use of the latest technologies across foundational models, transformer based architectures, image processing, image analysis, and machine learning. We need to optimise those algorithms to run accurately and efficiently. The scope of our charter means we're also utilising techniques such as contextual understanding and correction More ❯

Software Engineers and product teams to integrate AI solutions into productions systems, as well as: Design, develop, and implement AI models and algorithms for various applications. Optimize and scale machine learning models for performance and efficiency. Conduct research and stay up-to-date with the latest advancements in AI and machine learning. Analyse large datasets to extract … and the ability to coordinate initiatives to ensure the timely delivery of AI-driven projects, as well as: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field (desirable). Strong understanding of data structures, algorithms, and software engineering principles. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Familiarity … with AI, machine learning, or blockchain technologies. Excellent communication, and problem-solving skills. Understanding of cloud technologies, security principles, and modern development tools. Experience working with cross-functional teams. Familiarity with Agile development methodologies and DevOps practices, and Proficiency in programming languages such as Python, Java, or C++ would be beneficial. Knowledge of Azure Dev Ops and Power 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Postdoctoral Research Assistant in Machine Learning Grade 7: £38,674 - £46,913 per annum (Inclusive of Oxford University weighting) Description We are seeking a full-time postdoctoral researcher to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for one year with the possibility … of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly in continual learning settings. The core focus is on leveraging Reinforcement Learning (RL) to make the training and deployment of LLMs more computationally and sample efficient. This approach aims to improve the accessibility … improve LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion together with relevant experience. You will have a strong technical background in machine learning, especially RL and LLMs. An ability to work independently and as part of a collaborative research team is essential. Informal enquiries may be addressed to Dr. Yangchen More ❯

fast-paced environment big problems ignite uswe embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … Learning Engineer Evaluation at Wayve, were looking for the following skills and experience: ~5+ years of relevant industry, including experience designing and implementing offline evaluation pipelines for ML models (vision, multimodal, or embodied AI) Strong software engineering skills, including Python, data processing, and ML tooling Hands-on experience with human annotation workflows (task design, QA, coordination) as well … Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle the biggest challenge of our time Bespoke learning and development opportunities Relocation support with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your time Benefits such More ❯

fast-paced environment big problems ignite uswe embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … Learning Engineer Evaluation at Wayve, were looking for the following skills and experience: ~5+ years of relevant industry, including experience designing and implementing offline evaluation pipelines for ML models (vision, multimodal, or embodied AI) Strong software engineering skills, including Python, data processing, and ML tooling Hands-on experience with human annotation workflows (task design, QA, coordination) as well … Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle the biggest challenge of our time Bespoke learning and development opportunities Relocation support with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your time Benefits such 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 ❯

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 ❯

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 ❯

Employer of the Year at the British Insurance Awards 2024, and our Glassdoor score is impressive! We are seeking an Experienced Data Scientist with a passion for Python and machine learning. The ideal candidate will have a proven track record of building and training models to solve real-world problems. Experience in the Insurance industry or with Databricks is … assets. Your focus will be on applying data science techniques individually and collaboratively to generate actionable insights. Responsibilities include working with large, diverse datasets, developing predictive models, and implementing machine learning algorithms to address business challenges. You will work closely with in-house technology teams and data presentation teams across multiple locations. We value continuous improvement and encourage … sharing ideas to enhance our methods and team knowledge. Core skills required: Proficiency in Python Experience building and training machine learning models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to More ❯

Employer of the Year at the British Insurance Awards 2024, and our Glassdoor score is impressive! We are seeking an Experienced Data Scientist with a passion for Python and machine learning. The ideal candidate will have a proven track record of building and training models to solve real-world problems. Experience in the Insurance industry or with Databricks is … assets. Your focus will be on applying data science techniques individually and collaboratively to generate actionable insights. Responsibilities include working with large, diverse datasets, developing predictive models, and implementing machine learning algorithms to address business challenges. You will work closely with in-house technology teams and data presentation teams across multiple locations. We value continuous improvement and encourage … sharing ideas to enhance our methods and team knowledge. Core skills required: Proficiency in Python Experience building and training machine learning models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to More ❯

Lead Data Scientist – Machine Learning – Consultancy Location: Remote options Salary: Up to £100,000 Type: Permanent THE COMPANY This established consultancy works across sectors like retail, sports, media, and customer analytics—delivering end-to-end machine learning and … AI solutions. From building recommendation engines to developing predictive analytics at scale, they help top-tier clients unlock value through data. With continued growth, they’re hiring an experienced ML-focused Lead Data Scientist to join their team. THE ROLE As a Lead Data Scientist, you’ll remain hands-on while owning the delivery of end-to-end ML projects … project teams Engage stakeholders and present key findings and ROI YOUR SKILLS AND EXPERIENCE Strong Data Science experience, ideally in a consultancy or client-facing role Strong Python and ML experience; built and deployed models from scratch Skilled in predictive analytics and commercial applications Excellent communication skills with a strategic mindset Bonus: experience in customer analytics or personalisation BENEFITS Up More ❯