1,226 to 1,250 of 4,740 Machine Learning Jobs in the UK

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

Daniel Blackwell on: Location: UK Remote Tyne and Wear Newcastle upon Tyne NE12 8BX A leading company is looking foran AI Engineer to drive the integration of AI and machine learning into their products. This role sits at the intersection of AI research, product strategy, and engineering, transforming complex AI concepts into real-world applications. Key Responsibilities: Develop … teams to ensure successful AI implementation. Translate business requirements into technical solutions. Manage relationships with AI vendors and industry partners. What You'll Bring: Degree in Computer Science, AI, ML, or a related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to upskill in Node.js/TypeScript). Ability to explain AI concepts to technical and non-technical stakeholders. Problem-solving mindset and ability to lead AI-driven initiatives. Bonus Skills: Experience with AWS and cloud-based AI solutions. Knowledge More ❯

AI Center-Cambridge, our Distributed AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that … balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and multimodal visual language models (VLMs). Position Summary At the Samsung AI Center-Cambridge, our … Distributed AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that balance research and commercial More ❯

with senior stakeholders, and lead the adoption AI. Key Responsibilities Lead and mentor a team of data scientists, from mid-level to lead. Identify, prioritise, and deliver high-value ML projects aligned with business goals. Work closely with senior stakeholders to gain buy-in for data-driven strategies. Oversee model deployment, monitoring, and recalibration to maximise impact. Ensure full adoption … of a Google Cloud-based ML Ops platform. Drive education and advocacy for data science across the business. What We’re Looking For Strong experience leading a high-performing data science team. 6+ Years experience A track record of developing and deploying commercially impactful ML solutions. Proficiency in Python, SQL, and cloud-based ML environments (GCP preferred). Excellent stakeholder … with a passion for AI and innovation. Experience deploying large language models in a business setting. Background in personal lines insurance (health or life). Experience with Google Cloud ML Ops tooling. If this looks of interest, please reach out to Joseph Gregory More ❯

with senior stakeholders, and lead the adoption AI. Key Responsibilities Lead and mentor a team of data scientists, from mid-level to lead. Identify, prioritise, and deliver high-value ML projects aligned with business goals. Work closely with senior stakeholders to gain buy-in for data-driven strategies. Oversee model deployment, monitoring, and recalibration to maximise impact. Ensure full adoption … of a Google Cloud-based ML Ops platform. Drive education and advocacy for data science across the business. What We’re Looking For Strong experience leading a high-performing data science team. 6+ Years experience A track record of developing and deploying commercially impactful ML solutions. Proficiency in Python, SQL, and cloud-based ML environments (GCP preferred). Excellent stakeholder … with a passion for AI and innovation. Experience deploying large language models in a business setting. Background in personal lines insurance (health or life). Experience with Google Cloud ML Ops tooling. If this looks of interest, please reach out to Joseph Gregory More ❯

a Junior AI & Data Scientist 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 computer vision and predictive analytics … cutting-edge AI systems—chatbots, 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 salary, early-career benefits, and … development opportunities in the AI 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, TensorFlow, PyTorch, or Hugging Face More ❯

a Junior AI & Data Scientist 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 computer vision and predictive analytics … cutting-edge AI systems—chatbots, 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 salary, early-career benefits, and … development opportunities in the AI 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, TensorFlow, PyTorch, or Hugging Face More ❯

a Junior AI & Data Scientist 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 computer vision and predictive analytics … cutting-edge AI systems—chatbots, 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 salary, early-career benefits, and … development opportunities in the AI 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, TensorFlow, PyTorch, or Hugging Face More ❯

with senior stakeholders, and lead the adoption AI. Key Responsibilities Lead and mentor a team of data scientists, from mid-level to lead. Identify, prioritise, and deliver high-value ML projects aligned with business goals. Work closely with senior stakeholders to gain buy-in for data-driven strategies. Oversee model deployment, monitoring, and recalibration to maximise impact. Ensure full adoption … of a Google Cloud-based ML Ops platform. Drive education and advocacy for data science across the business. What We’re Looking For Strong experience leading a high-performing data science team. 6+ Years experience A track record of developing and deploying commercially impactful ML solutions. Proficiency in Python, SQL, and cloud-based ML environments (GCP preferred). Excellent stakeholder … with a passion for AI and innovation. Experience deploying large language models in a business setting. Background in personal lines insurance (health or life). Experience with Google Cloud ML Ops tooling. If this looks of interest, please reach out to Joseph Gregory More ❯

Research Scientist to join our Data and Decision Support Capability within the Innovation and Technology division. The ideal candidate will have a strong background in Machine Learning (ML) and/or statistical signal processing, with excellent Python programming skills and extensive experience with relevant libraries and toolboxes. You will join our Advanced Information Processing (AIP) group, focusing on … developing novel inference algorithms and applying AI/ML to sequential (time-series) data and decision-making processes. This role offers opportunities to work on AI/ML research projects for clients in the space, defense, security, and commercial sectors, as well as internal BAE Systems programs. You will also have the chance to collaborate with academic partners and develop … your research interests. The Data and Decision Support Capability encompasses teams working on AI/ML for RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, signal processing, edge ML, image analysis, computer vision, generative AI, large language models (LLMs), knowledge graphs, NLP, and graph ML. You will collaborate with multidisciplinary teams on these topics. Typical More ❯

of backend Software Engineers to evolve Snap's consumer-facing Gen AI products, including Image AI Lenses, Video AI Lenses and Gen AI features for Snapchat+ Collaborate with Product, Machine Learning, Engineering, Research, Data Science teams , and executive stakeholders to iterate on existing Gen AI products and launch new ones Facilitate technical planning, code reviews, and ensure high … performing team members Knowledge, Skills & Abilities: Experience setting the direction for customer-facing product teams leveraging Machine Learning/Generative AI Track record of delivery high availability ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments Strong management and mentorship skills, fostering a collaborative and innovative team culture via positive leadership Ability to … and decision making Preferred Qualifications: Background in Machine Learning Proven track of closely collaborating with Machine Learning teams for launching consumer-facing Gen AI or ML-powered products Proven track of closely collaborating with Mobile Software Engineers on launching consumer products Experience with building and maintaining mission-critical and highly-available global systems If you have More ❯

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for … the future. Role Overview You will be developing the company's production trading systems and data pipelines that support our machine learning models in both production and research environments. Collaboration with research and trading teams is essential to meet diverse requirements and complex trading behaviors. Team Environment We seek talented engineers who enjoy solving complex problems with innovative … real-time distributed trading systems that execute orders based on our machine learning models. Design and optimize large-scale data processing systems for historical and real-time ML feature pipelines. Enhance the resilience and performance of trading and data processing systems. Build tools to integrate and validate data from multiple vendors, ensuring consistency and reliability. Take ownership of More ❯

of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology … and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry BASIC QUALIFICATIONS - PhD, or a Master's degree and experience applying theoretical models in an applied environment - Experience in solving business problems through machine … years experience in developing OR algorithm for non-convex and non-linear optimization problems - 2+ years experience with Stochastic Optimization algorithms (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting - Sharp analytical abilities, excellent written and verbal communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning More ❯

in product management including experience working in a technical, data, AI or machine learning PM role. Must have a strong technical background Has launched Gen AI or ML based features into production running a team of engineers including ML engineers/data scientists Good knowledge of Gen AI trends, tools and technical landscape and a genuine interest in … What you'll be doing You'll be responsible for: Running the day-to-day of the AI Foundation team - organising sprint work, running refinements, working with engineers including ML engineers, to write epics and stories, managing roadmap. Ability to work independently to unblock engineers and problem-solve. Working with 3rd parties developing Gen AI foundations and eco-system integrated … into our architecture. Overseeing all specific work around prompt improvements, Building core foundations for LLM based products including evaluation frameworks, monitoring, analytics, ML pipelines, model APIs and integrations, system evaluation tools. Collaborating with a product designer, content designer and UX researcher - designing & delivering new features. Leading the team in establishing initiatives that are set and measured as part of the More ❯

the customer experience of ground-breaking products? Then come join us and make history. We are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech, Language, Audio and Video technology. As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms … models for digital vocal arts applications. Participate in research activities including the application and evaluation and digital vocal and video arts techniques for novel applications. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. BASIC QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans … like CNNs, GANs, VAEs and NF - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with programming languages such as Python, Java, C++ PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents More ❯

the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and … and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. BASIC QUALIFICATIONS - 6+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience … learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We … re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience across Credit modelling, lending, PoD etc Strong educational background from a top university in a STEM subject A proactive problem solver who thrives in a fast-paced environment. Strong communication skills and a collaborative mindset. Interest … in ML engineering and data engineering. Strong SQL skills. If this role looks of interest to you, please apply below, or reach out to Joseph Gregory More ❯

our websites annually. What are we looking for An experienced product manager who is driven to take our prediction model to the next level. Your passion for AI and ML will mean that you are driven to transform the student journey with your innovative approach. What you'll be doing You will lead the development of machine learning … student's journey - whether it's a personalised email, a tailored message, or a human follow-up - generated dynamically using Generative AI. You will work closely with data scientists, machine learning engineers, and operational teams to build, launch, and optimise these models and systems, making them a core part of how we support students globally. What are you … KPIs to measure model accuracy, engagement impact, and enrolment outcomes, and continuously drive improvements. Ensure all AI-driven activities are compliant with data privacy and ethical standards. Translate complex machine learning concepts into actionable features and tools for business users. Regularly collaborate with marketing, enrolment, and student advisory teams to align AI-driven actions with real-world student More ❯

and implementation of robust security frameworks across our AI and machine learning environments. This is a strategic role focused on securing the full lifecycle of AI/ML systems—from model development and training data to deployment and ongoing operations. You'll work cross-functionally with data scientists, engineers, and business stakeholders to ensure that our AI systems … regulatory frameworks such as the EU AI Act , NIST AI RMF , GDPR , and more. Key skills: Proven experience as a Security Architect with a strong focus on AI/ML security. Deep understanding of AI/ML systems, algorithms, models, and common frameworks. Solid background in secure software development and architecture, particularly within data-heavy or AI environments. Proficiency in … Python, R, C/C++, or Java, and awareness of security risks associated with these languages. Familiarity with key ML frameworks such as TensorFlow, PyTorch, JAX, and scikit-learn. Strong grasp of DevOps/CI/CD workflows and secure SDLC methodologies. Experience securing cloud-native environments, including containerized services (e.g., Kubernetes) and CI/CD orchestration tools. Knowledge of More ❯