476 to 500 of 1,111 Machine Learning Jobs in England

Senior Applied Scientist for the Alexa International team in London. You will advance the state of the art in multilingual speech generation using deep learning techniques. The role involves collaborating with skilled peers and optimizing algorithms for voice experiences. The ideal candidate will hold a Master … have solid experience in machine learning and speech synthesis. Join us to contribute to creating innovative AI technologies. #J-18808-Ljbffr ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

CVFine by Instrovate Technologies is looking for a hands-on engineer to develop cutting-edge ML products that enhance customer experiences. This role involves rapid research-to-production cycles for innovative ML applications, partnering with a diverse cross-functional team to deliver effective solutions. The ideal candidate will have … strong foundation in machine learning, a minimum of 5 years of practical experience, and proficiency in Python, Java, and SQL. The position offers competitive compensation and various benefits, encouraging a focus on excellence and innovation. #J-18808-Ljbffr ...

technologies in line with enterprise policies. Continuously explore emerging AI capabilities to enhance delivery outcomes. Skills & Experience: Experience with AI/ML workflows and document intelligence solutions. Strong programming skills (Python, APIs, data processing frameworks). Experience with cloud-based AI services and scalable architectures. Understanding of model validation, accuracy … lifecycle management. Experience integrating AI into enterprise systems. Experience developing and deploying AI or machine learning solutions. Strong programming and analytical skills. Understanding of model validation, performance, and governance. Experience integrating AI into production systems. Experience working in Agile/DevOps teams. Degree in Artificial Intelligence, Computer Science ...

Analytics Officer, this is an opportunity to become the operational right-hand to a senior leader driving transformation across Data Engineering, Analytics, BI and Machine Learning. This isn't a traditional project coordination role. You'll be responsible for bringing structure, pace and accountability to a technically ambitious team … What you'll be doing: • Managing end-to-end delivery of data and analytics projects • Coordinating work across Data Engineering, BI and AI/ML teams • Running Agile ceremonies and delivery governance • Managing project plans, RAID logs and stakeholder communications • Removing blockers and driving accountability across teams • Translating technical progress ...

world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value … cases that justify significant investment and strategic partnership. You lead the design and execution of proof‐of‐value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production‐grade integrations ...

deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business … development, and leadership teams to identify and prioritise AI opportunities across the organisation Required ExperienceEssential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong ...

understand data capture mechanisms and pipelines Contribute to shaping the technical roadmap and direction of the product Explore opportunities to leverage AI/ML techniques (including LLM-related approaches where relevant) Scale solutions from prototype through to production Key Requirements Proven experience as a Data Scientist within … from hardware or IoT/wearable devices Ability to operate with limited direction and take ownership of solutions Strong programming skills (e.g. Python, relevant ML libraries) Experience deploying models into production environments What’s on Offer Salary of £60,000 – £90,000 Opportunity to join a high-growth AI company ...

live deployment and business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … Required ExperienceEssential Proven experience leading AI strategy, implementation, or AI transformation initiatives within a business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment ...

e.g., AWS, Azure, GCP). Familiarity with cloud-native data architectures and technologies.* Experience with data management tools and processes.* Experience with AI and Machine Learning, including MLOps practices.* Experience with decentralised Data Mesh and Data Product architecture principles.* Maintain a high-level roadmap for the development … first published in 1869.Nearly two centuries of progress and advancement in science and education have helped shape the business we are today. Research and learning continues to be the cornerstone of progress, and we will continue to open doors to discovery through trusted brands and innovative products and services. ...

Campus Salary: up to £54,000 per annumStudy Group attracts a diverse, international student body seeking high-quality teaching, combined with an industry-focussed learning experience and strong employability opportunities within London’s dynamic, professional environment.The University of Huddersfield London Campus is an exciting new academic institution … London Campus. ABOUT THE ROLE Design teaching material and deliver across a range of modules or within a subject area using appropriate teaching learning support and assessment methods to ensure student’s progress Design, mark and give feedback on appropriate formative and summative assessments, providing opportunities for students ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Senior Engineering Managers at Lendable are a unique group of humans … identify and resolve bottlenecks quickly and efficiently. Skilled in building high-performing teams, with experience in skills assessment, cross-training, and fostering a continuous learning and improvement culture. Ability to strategically guide technical decisions without being a blocker, with familiarity in technical debt management, architectural planning, and quality assurance ...

require all candidates to be willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

leadership, including acting as a key partner to the Director of AI Y our Skills and Experience * Strong commercial experience in AI engineering or machine learning, ideally evolving from a data science background * Proven experience building and deploying LLM based applications in production environments * Experience working with cloud ...

Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. What ...

stakeholder satisfaction. Oversee foundational platform and data processes that support Client360. Drive continuous improvement by establishing and monitoring key performance indicators. Leverage analytics, including machine learning and AI, to derive actionable business insights. Understand internal team needs and anticipate future requirements, collaborating across business lines. Utilize platform ...

Develop a future workforce platform using Backendless, Azure, and BaaS (Backend-as-a-Service) solutions Work on AI-powered automation, including chatbots and machine learning solutions Expand automation initiatives into other departments, such as finance, procurement, and clinical workflows Grow into leadership roles, such as Senior Digital Developer ...

building complex indices that drive positive change in the world.* We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools.* We are backed by some of the world’s leading tech investors ...

scalability are essential Technology Environment The engineering stack includes: Python C++ Linux Distributed Systems Cloud Infrastructure Data Platforms Market Data Technologies Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering. Required Qualifications ...

with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial ...

Automation Development Research and evaluate emerging AI technologies and tools. Design and implement AI-driven solutions to improve business operations. Develop workflows using AI, machine learning, automation platforms, and low-code/no-code tools. Identify repetitive tasks and create automated solutions to reduce manual effort. Software & Application ...

Automation Development Research and evaluate emerging AI technologies and tools. Design and implement AI-driven solutions to improve business operations. Develop workflows using AI, machine learning, automation platforms, and low-code/no-code tools. Identify repetitive tasks and create automated solutions to reduce manual effort. Software & Application ...

Master’s degree 3+ years of experience leading operational or program-focused teams Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment Good understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection Demonstrable experience ...

understanding how to sequence roadmaps across upstream and downstream dependencies while maintaining a coherent platform architecture for distinct buyer personas. Deep technical fluency in machine learning lifecycles, computer vision, data labeling pipelines, and edge‐AI computing. You will be expected to work within technical constraints, grounding product decisions ...

with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI‐driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problems—such as predictive maintenance or autonomous ISTAR—ensuring they ...