1,201 to 1,225 of 4,963 Machine Learning Jobs in England

Skills) 5+ years of experience selling or supporting technical sales in the cloud computing industry. Deep technical expertise across cloud infrastructure and AI/ML, with experience building production systems combining both as a solutions engineer, entrepreneur, or solution architect. In‐depth knowledge of at least one major public cloud ...

CloudFront) and broader AWS solutions - Understanding of industry trends including OTT/streaming, content supply chain modernisation, cloud-based broadcast workflows, and AI/ML-driven media applications - Strategic thinking and problem-solving skills with a bias for action - Excellent storytelling and active listening abilities Amazon is an equal opportunities ...

Infrastructure Engineering, Penetration Testing). Experience in infrastructure, application, and AI security (e.g. container security, secure code reviews, secure integration of generative AI/ML). Practical experience leveraging and applying the SABSA (Sherwood Applied Business Security Architecture) framework to design business‐driven, risk‐aligned enterprise security architectures. Recognised industry ...

More about the role Our Data & Analytics team creates value for Morrisons by making sure we have the right data in the right place, transformed into clean, accessible structures ready for reporting, data product creation ...

Job Overview: We are looking for a dedicated Staff Full Stack Software Engineer to join our team in Cambridge. This role has significant impact in improving the engineering experience at Arm! Engineering IT supplies the ...

encompasses the products and systems closest to the customer journey - search, pricing, payments, fare intelligence, and conversational interfaces. You will define and lead the ML strategy, team, and delivery across this domain. That means building and scaling ML and AI capabilities that measurably improve the customer experience and drive business … outcomes. The work spans traditional ML systems and emerging agentic/LLM-based capabilities. You will lead multiple ML teams through their respective team leads, reporting to the Director of AI & ML. You’ll be accountable for the people (2 ML Managers and ~10 ICs), delivery, and budget across your ...

/Machine Learning Software Engineer to join our team. This role is located in Manchester or London. Role Summary: The AI/ML Software Engineering within the Enterprise Transformation Hub will help drive the acceleration of AI-enabled solution delivery across the ecosystem. This role is responsible … that help BNY deliver more integrated and effective AI outcomes. In this role, you'll make an impact in the following ways: Leads complex machine learning initiatives with direct strategic impact, applying deep knowledge of machine learning concepts and their practical business applications Directly contributes ...

side proves works and turn it into something dependable enough to run in a live, privacy-sensitive, multi-partner environment. You'll set the ML engineering and MLOps direction for your workstreams and act as technical lead on how research gets built, tested, and shipped. What you'll do Lead … ML engineering and MLOps direction for assigned CODAS workstreams. Design, build, test, and maintain the ML services, data pipelines, evaluation tooling, and deployment-ready applications that make up the programme's technical deliverables. Translate research outputs into systems that are actually robust and maintainable, not just proofs of concept. Adapt ...

Vice President, AI/Machine Learning Data Engineer At BNY, our culture allows us to run our company better and enables employees growth and success.As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the worlds investible assets. … following ways: Design and develop AI-powered solutions to solve complex enterprise data and analytics problems Translate ambiguous business problems into structured AI/ML approaches and algorithms Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems Collaborate with platform, data, and product teams ...

deliver images and videos to millions of ASOS customers. This role focuses on designing reliable, responsible and high‐performing AI systems, using Deep learning embedding techniques for multimodal signal processing, and generative AI technologies such as large language models (LLMs). You’ll work closely with Studios, Machine … frameworks for AI models, including automated testing and benchmarking to support ongoing improvement Qualifications Key Skills and Experience Proficiency in Python and familiarity with ML/AI libraries (e.g. PyTorch, TensorFlow, Hugging Face) for computer vision. Hands‐on professional experience in fine‐tuning and deploying machine learning solutions ...

positive difference in people’s lives. At Zaizi, we thrive on solving challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, you’ll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses … services stay safe, secure and continue to work effectively Requirements Broad technical expertise in machine learning, demonstrating a deep understanding of various ML algorithms, frameworks, and best practices. Research. Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research. Emerging ...

positive difference in peoples lives. At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, youll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses can use to automate … services stay safe, secure and continue to work effectively Requirements Broad technical expertise in machine learning, demonstrating a deep understanding of various ML algorithms, frameworks, and best practices. Research. Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research. Emerging ...

move and manage money worldwide. It enables international transfers, spending abroad, and international payments for people and businesses. Задачи Own the evolution of ML experimentation tooling and label quality, initially for Fincrime teams and later for other Servicing squads; Co‐own stakeholder management, roadmap, delivery, and onboarding; Conduct presentations, demos … teams; Implement software engineering practices including testing, CI/CD, monitoring, alerting, and disaster recovery; Develop MLOps capabilities with Terraform and AWS infrastructure; Support ML governance for hundreds of models; Build data engineering solutions for distributed processing at terabyte scale; Prove the value of new methodologies and algorithms across cross ...

Build reproducible model training, evaluation, and containerised deployment pipelines capable of operating in air-gapped or low-bandwidth environments. Technical Client Advisory: Translate complex ML/AI concepts into clear technical recommendations for MoD stakeholders, DSTL assessors, and Prime contractors. Required Qualifications & Experience Defence & AI Governance Active UK SC Clearance … minimum). Strong understanding of AI safety, non-repudiation, and human-in-the-loop operational constraints ( JSP 936 V1.1/Dependable AI ). ML & Edge Inference Mastery 3+ years of production experience deploying ML models to edge runtime environments (LiteRT/TFLite, ONNX, C++ bindings). Experience in model quantization ...

better, for the next client. Technology leadership: You will take a client's business opportunities and pain points and match them to the right ML, AI or data engineering solution. You possess the technical depth required to engage in discussions regarding solution architecture and implementation details with a client … teams together. Deep expertise across AI technologies, machine learning, data analytics, and data management, paired with a strong understanding of AI and ML, data infrastructure and architecture, including data warehousing, and cloud-based solutions, so you can move fluidly between the strategic and the technical. A track record ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

design, build, test, and operate scalable software products, working closely with data scientists, engineers, architects, product managers, and quality engineers. You will help bring machine learning and analytical capabilities into production systems, delivering secure, reliable, and maintainable solutions that create measurable customer value. Responsibilities Design, build, test … maintain production-grade backend services and APIs using Python and Java. Integrate machine learning models and analytical components into real-time and batch software workflows. Develop reusable application components for feature calculation, inference, decision support, and model output interpretation. Build internal and customer-facing tools that help users ...

leading global financial services firm is seeking an Applied AI/ML Senior Associate Machine Learning Engineer to innovate using advanced AI techniques in financial services. This role demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine Learning services. This opportunity blends research and engineering, ideal for those looking to impact financial technology. #J-18808-Ljbffr ...

Lead AI/ML Engineer As a Lead AI/ML Engineer in the leisure, travel & tourism industry, you'll focus on building and deploying machine learning models to drive analytics and decision-making. You'll play a vital role in shaping data-driven strategies that contribute … organisation's success. Client Details Lead AI/ML Engineer Our client is a leading UK organisation undergoing an ambitious data and AI transformation. Operating across multiple locations, they are investing heavily in modern analytics, machine learning and predictive modelling capabilities to support smarter decision-making and long ...

Implementation Engineer ( Data Science/ML Background) Manchester | Hybrid (3 Days Office/2 Days Remote) A growing technology-led organisation is looking to appoint an AI Implementation Engineer to play a key role in driving AI adoption across the business. This is an exciting opportunity for someone with … Data Science and Machine Learning background who has evolved into delivering production AI solutions. You'll combine expertise across AI, ML, LLMs, data engineering and enterprise infrastructure to design, develop and implement AI solutions that create genuine business value. Working closely with IT, commercial stakeholders and operational teams ...

Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront … leading role in the design and delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning ...

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity … apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly ...

help drive the adoption of AI and Machine Learning technologies. You will work on innovative projects around Python and AI/ML technologies, collaborating with teams to develop production-quality systems. The ideal candidate should have a Master's or Ph.D. degree and 1-3 years of relevant ...