401 to 425 of 3,221 Machine Learning Jobs in England

and agriculture transform through advanced artificial intelligence solutions. As a Data Scientist specialising in Computer Vision, you'll play a pivotal role in developing machine learning products that redefine what AI can achieve across diverse industries. Why You Should Apply Be part of a revolutionary AI startup shaping … with experts across business, product, and engineering teams Contribute directly to deploying AI solutions with enterprise clients What You’ll Be Doing Develop deep learning models for a range of computer vision tasks Define and implement assessment criteria to measure solution performance Stay on top of and apply recent … in deep learning algorithms applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via More ❯

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

users, and market research Write detailed product requirements documents (PRDs) and user stories for the development team Work closely with data scientists to understand ML model capabilities and limitations Collaborate with engineers to ensure feasible and scalable implementation of data science solutions Facilitate agile ceremonies including sprint planning, daily stand … track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision … or data products through multiple release cycles Strong understanding of data science, machine learning concepts, and analytics capabilities Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Experience with MLOps practices (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning More ❯

users, and market research Write detailed product requirements documents (PRDs) and user stories for the development team Work closely with data scientists to understand ML model capabilities and limitations Collaborate with engineers to ensure feasible and scalable implementation of data science solutions Facilitate agile ceremonies including sprint planning, daily stand … track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision … or data products through multiple release cycles Strong understanding of data science, machine learning concepts, and analytics capabilities Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Experience with MLOps practices (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning More ❯

I am recruiting for an experienced Security Architect with a strong specialisation in Artificial Intelligence (AI) and Machine Learning (ML) security. This is a hybrid role - 2 days in London, 3 days remote. This role does fall inside IR35 so you will need to work through an umbrella … the duration of the contract. The role involves significant influence across the organisation, with customers and peers, regarding the strategic contribution of AI/ML security to business objectives. You will apply a wide range of complex technical and professional security activities in diverse AI/ML contexts, driving the … development and execution of AI/ML security strategies. A key aspect of the role is contributing to the formulation of AI/ML security policies, standards and strategies, ensuring alignment with overall business and technology strategies. You will have several years experience of strategic cyber security. A current Security More ❯

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … financial news You'll have the opportunity to: Collaborate with colleagues on building and deploying production-grade search systems powered by LLMs using sound ML and software engineering practices. Continuously identify opportunities to improve our search systems and rapidly explore and experiment ideas for improvement, and release ones that have … promise. Design, train, experiment, and evaluate models, algorithms and solutions Anticipate data needs for building and evaluating ML-driven systems. Take ownership of securing such data by coordinating with data owners and annotators. At the same time, identify opportunities for using LLMs in dealing with data scarcity issues. Demonstrate technical More ❯

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … financial news. You'll have the opportunity to: Collaborate with colleagues on building and deploying production-grade search systems powered by LLMs using sound ML and software engineering practices. Continuously identify opportunities to improve our search systems and rapidly explore and experiment ideas for improvement, and release ones that have … promise. Design, train, experiment, and evaluate models, algorithms and solutions. Anticipate data needs for building and evaluating ML-driven systems. Take ownership of securing such data by coordinating with data owners and annotators. At the same time, identify opportunities for using LLMs in dealing with data scarcity issues. Demonstrate technical More ❯

engineering to ensure assessing the model at its full capacity. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our … skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills …/knowledge in machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also have More ❯

not miss capabilities that might be present in the model. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our … skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills …/knowledge in machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also have More ❯

not miss capabilities that might be present in the model. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our … skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills …/knowledge in the machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also More ❯

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

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

human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of … trust and saves them hundreds of millions of dollars of wasted spend. We are looking for talented applied scientists who enjoy working on creative machine learning algorithms and thrive in a fast-paced, fun environment. An Applied Scientist is responsible for solving inherently hard problems in advertising fraud … business intelligence. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related More ❯

features for our customers, ensuring seamless integration of AI technologies with existing systems. AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform's capabilities, optimize processes, and improve user experiences. Platform Development: Design, develop, and maintain scalable … components are scalable, efficient, and maintainable. What you need to be successful AI and Machine Learning: Experience integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products. Full Stack/Backend … or microservices. Cloud Services: Familiarity with cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus. Serverless Architectures: Exposure to serverless architectures, ideally edge compute environments such as Cloudflare Workers. Problem-Solving Skills: A natural More ❯

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

Help build the world's most advanced reinforcement learning systems at Microsoft AI. We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you'll help advance state-of-the-art model capabilities … shifting priorities Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds … in mathematics, competitive programming, and related domains are a plus. Responsibilities Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments. Embody our culture of collaboration, innovation, and More ❯

Job ID: AWS EMEA SARL (UK Branch) 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 helps AWS customers implement Generative … and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities As a Senior Data 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 … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and More ❯

and designing and implementing new endpoints. This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning … gather the insights needed for well-rounded solutions. Contribute to the development of the next generation of our Cognitive Skill Builder, collaborating with the Machine Learning team to integrate advanced AI features. Work with the Machine Learning and Data Science teams to bring the latest AutoNLU More ❯

learning applications. Ensure real-time data availability and integration with AI models. Build and optimize the data infrastructure that supports AI/ML models, including data storage, processing, and retrieval systems. Ensure data is accessible, clean, and ready for AI-driven analysis. Implement and refine automation processes for … data ingestion, transformation, and model deployment. Focus on reducing manual intervention and improving the efficiency of AI workflows. Work closely with AI/ML engineers, data scientists, and quantitative researchers to understand data requirements and ensure seamless integration of data into AI-driven models and strategies. Continuously monitor and enhance … machine learning applications, preferably within the finance or hedge fund industry. Proven experience in building and maintaining data pipelines for AI/ML models in a production environment. Experience with data automation, ETL processes, and AI-driven data architecture design. Technical Skills Proficiency in Python and SQL, with More ❯

learning applications. Ensure real-time data availability and integration with AI models. Build and optimize the data infrastructure that supports AI/ML models, including data storage, processing, and retrieval systems. Ensure data is accessible, clean, and ready for AI-driven analysis. Implement and refine automation processes for … data ingestion, transformation, and model deployment. Focus on reducing manual intervention and improving the efficiency of AI workflows. Work closely with AI/ML engineers, data scientists, and quantitative researchers to understand data requirements and ensure seamless integration of data into AI-driven models and strategies. Continuously monitor and enhance … machine learning applications, preferably within the finance or hedge fund industry. Proven experience in building and maintaining data pipelines for AI/ML models in a production environment. Experience with data automation, ETL processes, and AI-driven data architecture design. Technical Skills Proficiency in Python and SQL, with More ❯

a team, act as an expert individual contributor for architecting and developing software solutions that are currently in an early research stage. For example Machine Learning Decision Support tools for clinical decision support and population health, software for Clinical Trial Recruitment, and software for Agentic Clinical Decision Support. … of this federated analytics and machine learning platform, following software engineering best practices. Working with both clinical data science, clinical safety, and ML engineering teams, as well as clinical end-users, to ensure that solutions are impactful and safe. Communications: Communicate with engineering and infrastructure staff on a … agents. Provide detailed performance metrics and analysis of NLP systems, including model accuracy, latency, and clinical impact metrics to the Head of AI/ML on a weekly basis. Manage relationships with LLM providers, clinical NLP tool vendors, and academic partners. Department to review NLP system performance and validate clinical More ❯

data and technology, now and for generations to come. The Opportunity: The Artificial Intelligence and Machine Learning team blend statistical techniques and ML to create value from data for our clients. You will collaborate with business stakeholders to identify use cases and shape opportunities for delivering data science … to business benefits. You'll extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, in order to make it accessible to our clients. You will then present your results using clear and engaging … about the transformative impact the right information can have on a business. Strong grasp of statistical methods, experimental design and the underlying principles of machine learning algorithms. Ability to transform, analyse and model data from a variety of data sources, extracting and interpreting trends and insights. Able to More ❯

Full-Stack Software Engineer, AI/ML, COR7005 Are you a talented Software Engineer with a passion for AI and machine learning? This could be the perfect role for you! The Role As a Full-Stack Software Engineer, you will play a key role in designing, developing, and … Engineer include: Share options available Opportunities for professional growth and development Access to cutting-edge AI resources and infrastructure Collaborative team environment focused on learning and innovation What's Required? The ideal candidate for the role will have the following: Experience in full-stack development (React, Next.js) Strong knowledge … of software development life cycle, coding standards, and best practices Expertise in integrating and deploying large language models (LLMs) A passion for AI and machine learning A Bachelor's degree in computer science or equivalent work experience Bonus Points Additional skills that would be beneficial include: Experience in More ❯

Data Science Manager - Gen/AI & ML Projects Salary: Negotiable up to 90,000 Dependent on Experience Hybrid working - West Kent office (2-3 days per week in the office) Ref No: Ref J12951 Please note we can only accept applications from those with current UK working rights for this … lead data science initiatives and drive innovation in the healthcare industry. You'll have the opportunity to leverage your expertise in advanced analytics and machine learning within a dynamic and forward-thinking team, to shape the future of healthcare. The successful applicant will work on exciting Gen/… ability to deliver value from data will be required. Responsibilities Lead a small team of Data Scientists in developing and implementing advanced data analytics, machine learning and traditional and generative AI solutions, to address complex business challenges within healthcare sector. Collaborate with cross-functional teams to identify business More ❯

Data Science Manager - Gen/AI & ML Projects Salary: Negotiable up to £90,000 Dependent on Experience Hybrid working - West Kent office (2-3 days per week in the office) Ref No: Ref J12951 Please note we can only accept applications from those with current UK working rights for this … lead data science initiatives and drive innovation in the healthcare industry. You'll have the opportunity to leverage your expertise in advanced analytics and machine learning within a dynamic and forward-thinking team, to shape the future of healthcare. The successful applicant will work on exciting Gen/… ability to deliver value from data will be required. Responsibilities Lead a small team of Data Scientists in developing and implementing advanced data analytics, machine learning and traditional and generative AI solutions, to address complex business challenges within healthcare sector. Collaborate with cross-functional teams to identify business More ❯