576 to 600 of 3,217 Machine Learning Jobs in England

Darktrace Cyber AI Research Center. An ideal candidate has some prior experience writing news articles, technical blogs, white papers, or academic papers which cover Machine Learning, AI, or associated technologies. This is a hybrid role, with a compulsory attendance of 2 days a week in the Cambridge office. … do I need: We are looking for candidates who have experience writing material such as technical blogs, white papers, or academic papers which cover Machine Learning, AI, or associated technologies. You should also have: Experience creating technical diagrams and data visualization. Ability to communicate complex ideas effectively. A … your salary expectations for your next role? Do you have experience writing material such as technical blogs, white papers, or academic papers which cover Machine Learning, AI, or associated technologies? Please share any links if required More ❯

this rapidly growing division. This position offers an exciting opportunity to be involved in both presales and technical delivery, helping clients implement AI and machine learning solutions that solve real-world business challenges and drive digital transformation. Key Details: Salary : £60,000–£90,000 + bonus + benefits … AI adoption across industries. As this grows, we'll be looking to promote people internally when possible. Key Skills, Attributes, and Technologies Desired: AI & ML Knowledge : Strong understanding of machine learning and AI frameworks, including supervised and unsupervised learning, deep learning, and reinforcement learning. Consulting/ More ❯

this rapidly growing division. This position offers an exciting opportunity to be involved in both presales and technical delivery, helping clients implement AI and machine learning solutions that solve real-world business challenges and drive digital transformation. Key Details: Salary : £60,000–£90,000 + bonus + benefits … AI adoption across industries. As this grows, we'll be looking to promote people internally when possible. Key Skills, Attributes, and Technologies Desired: AI & ML Knowledge : Strong understanding of machine learning and AI frameworks, including supervised and unsupervised learning, deep learning, and reinforcement learning. Consulting/ More ❯

AI/ML Developer: We are seeking a talented and highly motivated AI/ML Developer with strong programming skills in Python or other relevant languages to join our dynamic team. You will need to have the skill set and ability to design, develop, and deploy cutting-edge artificial intelligence … GCP) and Cloud AI solutions (e.g. ) to build and deploy scalable AI solutions. Process and analyse large datasets to train and evaluate AI/ML models. Collaborate with data scientists to optimise model performance and accuracy. Develop and maintain AI/ML pipelines for data ingestion, processing, and model training. … Integrate AI/ML models with existing applications and systems. Stay up-to-date with the latest advancements in AI/ML and cloud technologies. Contribute to the development of AI/ML strategy and best practices. Requirements: Knowledge of data structures, algorithms, and software design principles. Experience with machine More ❯

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying … using emerging technologies on client deliveries and through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/… ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Building and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS More ❯

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying … using emerging technologies on client deliveries and through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/… ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Building and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS More ❯

AI/ML Engineer – London We are seeking a talented AI/ML Engineer to join a cutting-edge team at the forefront of intelligent technology and digital transformation. This role offers a unique opportunity to develop and deploy advanced AI models in high-impact environments. 🚀 What You'll Be … training neural networks to meet complex functional requirements. Deploying AI models efficiently on scalable server-based platforms. Collaborating with cross-functional teams to integrate ML capabilities into digital applications. Continuously improving model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML … fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes). A More ❯

AI/ML Engineer – London We are seeking a talented AI/ML Engineer to join a cutting-edge team at the forefront of intelligent technology and digital transformation. This role offers a unique opportunity to develop and deploy advanced AI models in high-impact environments. 🚀 What You'll Be … training neural networks to meet complex functional requirements. Deploying AI models efficiently on scalable server-based platforms. Collaborating with cross-functional teams to integrate ML capabilities into digital applications. Continuously improving model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML … fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes). A More ❯

to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to … recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are at the heart of everything we do. Tailored Compensation: Competitive … space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn More ❯

to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to … recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are at the heart of everything we do. Tailored Compensation: Competitive … space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn More ❯

or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in … identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including … experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing More ❯

or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in … identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including … experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing More ❯

to support analytics and reporting. Monitor and maintain data infrastructure to ensure availability, correctness and performance. Perform regular checks to ensure data pipelines and ML models are working correctly. You'll collaborate with the customer on a quarterly basis to ensure all requirements continue to be met. Scope and plan … data pipelines and automating data workflows. Proficiency in SQL, particularly BigQuery SQL for querying and manipulating large datasets. Familiarity with machine learning (ML) concepts, algorithms (supervised/unsupervised learning), and ML tools. Experience with version control systems (e.g., Git). Strong expertise in Python, with a particular … Google, attending and/or driving GDG events. Benefits Competitive salary. Private healthcare scheme. Company pension. Death in Service - 4x annual salary. 10 paid learning days per year. Regular opportunities for industry recognised training and certifications. Opportunities to develop within a fast growing-tech business with ambitious growth and More ❯

customers. Basic Qualifications 3+ years of research experience. PhD, or Master's degree with 6+ years of applied research experience. Experience with neural deep learning methods and machine learning. Knowledge of machine learning algorithms and techniques. Preferred Qualifications PhD in Computer Science, Machine Learning More ❯

data scientists, and business stakeholders to ensure AI initiatives are aligned with strategic objectives. Key Responsibilities Lead the architectural design of advanced AI and machine learning solutions for enterprise clients Define AI roadmaps, frameworks, and reference architectures in line with business goals Collaborate with technical and non-technical … engineering and data science teams Stay current with industry developments and bring forward innovative ideas and approaches Experience Required Strong experience in AI/ML solution architecture within large-scale, complex environments Hands-on expertise with machine learning, deep learning, NLP, computer vision, and/or large … impact projects that influence entire industries. Youll join a collaborative, forward-thinking team with access to cutting-edge technologies, robust support structures, and continuous learning opportunities. Would this role be of interest? If so, please send me a copy of your CV ASAP. JOB REF More ❯

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning … accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive … and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1 , Inf1 servers. Strong software development and ML knowledge are both critical to this role. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed More ❯

Applied Scientist - ML Models Fraud & Financial Crime Applied Scientist - ML Models Fraud & Financial Crime Apply locations Leeds Wellington Place time type Full time posted on Posted 13 Days Ago time left to apply End Date: May 9, 2025 (15 days left to apply) job requisition id 113788 End Date: Thursday … working - click here for more information on flexible working options Flexible Working Options: Hybrid Working, Job Share Job Description Summary: JOB TITLE: Applied Scientist, ML Models, Fraud & Financial Crime - Economic Crime Prevention Platform SALARY: £68,202 - £75,780 LOCATION(S): Leeds HOURS: Full-time WORKING PATTERN: Our work style is … techniques especially on tabular supervised learning problems. Proficient in Python and the Python data science ecosystem. Good software engineering underpinnings, understanding of how ML models can be exposed behind APIs applications and welcomes opportunity to build out interactive dashboards. Ability to design and implement ELT pipelines in an efficient More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation … model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation … model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An More ❯

them in their day-to-day tasks. Responsibilities: Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills … Skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning More ❯

Job Overview: High-performance ML workloads on Arm CPUs require the co-development of algorithms and highly optimized CPU kernels. In CT-ML (Central Technology, Machine Learning), rapid kernel prototyping is crucial for exploring algorithms and assessing trade-offs between model accuracy and performance. Successful prototypes drive future … architecture development and serve as deliverables to Central Engineering for final production. Responsibilities: This position is part of a dedicated team within the CT-ML group focused on analyzing ML workloads and rapidly prototyping highly optimized CPU kernels to enhance model performance and accuracy. Required Skills and Experience: Strong interest … in creating efficient kernel development frameworks, including tools and testing methodologies. Deep understanding of CPU architecture. "Nice To Have" Skills and Experience: Knowledge of ML models and algorithms is a plus. Advanced degree or equivalent experience in Computer Architecture and Software. In Return: Arm offers an attractive relocation package and More ❯

London) Limited - C26 The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior … best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯

Full Time DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior … best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯

content and programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and … particle filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural … networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be considered for More ❯

disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. … You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform … system robustness and cost efficiency. Key skills and experience: ** Prior Senior Data Scientist with Machine Learning experience ** Strong understanding and experience with ML models and ML observability tools ** Strong Python and SQL experience ** Spark/Apache Airflow ** ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) ** Experience More ❯