401 to 425 of 1,434 Machine Learning Jobs in the UK excluding London

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 ❯

applyingadvanced software engineering skills to build technologies that support our drugdiscovery efforts. Your key responsibilities include development of training data workflows for the training of machine-learning (ML) models and scalable deployment of machine-learning technologies, and creation, testing and maintenance of software systems.This role is remote, with preference for candidates on the US East Coast … or in the UK. KEY RESPONSIBILITIES Work in a cross-functional team that spans the full domain of drug discovery. Provide software development support to the ML model life cycle, working in the design and development of: Efficient and maintainable data pipelines Benchmarking systems of models Deployments to AWS and use of Kubernetes (in collaboration with our cloud engineers) Collaborate … and maintenance of software systems Code review for pull requests in adjoining areas Maintenance of and mentorship in software best practices, including version control, testing and documentation Collaboration with ML scientists and others in the company to understand requirements for deployed models Clear oral communication of work in meetings and company demos, at a level suited to the audience QUALIFICATIONS 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 ❯

and market needs. Define detailed product requirements for AI features, working closely with data scientists and engineers to ensure high-quality execution. Help drive the development and integration of machine learning models and AI algorithms into the product. Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative. Collaborate with engineering … Microsoft centric tech background Microsoft based, Neo4j, vector database, Azure 3+ years of experience in product management, with at least 1-2 years of experience working with AI/ML-driven products. Experience working with large-scale AI systems or machine learning models. Familiarity with cloud platforms mainly Azure, and how they support AI/ML product development. 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 ❯

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 ❯

some of the best talent in the industry to create innovative high quality and defect-free solutions to meet our clients' business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued Required Qualification: Job description Infosys is seeking a Performance Test Lead . As … integrating testing best practices into the application development lifecycle to successfully reduce friction, identify potential problems early, and improve cross-collaboration. Researches Artificial Intelligence (AI) including machine language (ML), robotics, and other advanced and emerging technologies to improve automation efficiency and analytics. Participates in PI and sprint planning. Guides, leads, and influences teams in developing technical understanding and skillset … applications and platforms. Proficient in Performance Testing and QAE. Proficient in understanding of Testing Tools and Integrations. Tools : LoadRunner is mandatory with knowledge of Selenium or Tosca. AI/ML knowledge is plus The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to More ❯

data platforms Work closely with clients to understand business challenges and identify where AI and data-driven solutions can drive value Architect and implement scalable, production-ready solutions using machine learning , large language models , cognitive services , and modern data pipelines Collaborate with multidisciplinary teams across strategy, engineering, and design to build end-to-end AI solutions Guide clients … in a Microsoft Partner or specialist technology consultancy environment Strong technical proficiency across Azure Synapse , Data Lake , Databricks , Power BI , Microsoft Fabric , and relevant AI services (e.g. Azure OpenAI, ML Studio) Deep understanding of modern data architectures, data governance, and operationalisation of AI models in cloud environments Experience leading client engagements, presenting to senior stakeholders, and managing delivery teams Comfortable … Partner Work on high-profile projects that make a real impact across industries Collaborate with some of the best minds in the AI and data space Access to continuous learning, Microsoft certifications, and cutting-edge tools Competitive salary, bonus scheme, and flexible working options A people-first culture that values innovation, growth, and balance More ❯

to apply up to 2 years from the date of receiving their PhD (i.e. PhD degrees must have been awarded May 2023 or later). Experience in AI/ML and scientific programming (preference for python) Familiarity with one or several of the following data modalities: human genetics, gene expression, proteomics Familiarity with the biology of neurodegenerative diseases is a … Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯

CD tools. Solid understanding of OOP, design patterns, and clean code. Async programming (e.g., asyncio, Celery). Experience with RabbitMQ, Kafka, GraphQL, gRPC, or WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of … data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and we will be in touch to discuss your application further. Please note that due to the volume of applications we receive, it is not possible to provide feedback on all applications so if you have not heard from More ❯

as contribute to the growth of the SAP SCM Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. About our UK SAP Practice Team: Capgemini UK is a leading SAP Integration Partner, helping our clients navigate through complex SAP … well as a solid awareness of the latest SAP capabilities and roadmap. AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance. Continuous Learning and Development: Commitment to developing your career … seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our More ❯

researchers. They are looking for a Senior DevOps Engineer to join their infrastructure team. In this role, you’ll be responsible for developing and maintaining systems that support their machine learning workflows, virtual infrastructure, and cloud-native environments. You should have strong experience in Kubernetes, Ceph, virtualization along with sound knowledge of networking and security principles. Responsibilities Manage … Linux system administration experience, including shell scripting and performance tuning. Nice to have: Certifications in Kubernetes, Ceph, or cloud technologies (AWS/GCP/Azure). Familiar with with ML infrastructure: Ray (KubeRay), MLFlow, KubeFlow, Nexus (Pypi) or model serving platforms. Familiar with Git, GitOps workflows to aid the Infrastructure-as-code Experience with service mesh technologies like Istio. Willing More ❯

advanced manufacturing-and we're looking for curious, collaborative, and creative minds to join our software team. As a Software Engineer, you'll work side-by-side with developers, machine learning engineers, metallurgists, and process experts to build innovative platforms that power the next generation of metal components. From visualising 3D data to optimising build strategies and material … the impact of your code in the real world. You'll be part of a tight-knit agile team where your ideas matter, your code ships fast, and your learning never stops. What You'll Do: Design and develop platforms for data analysis, build prep, and process optimisation Work across the full dev lifecycle-from user stories to deployment … A collaborative mindset, strong communication skills, and a love for solving hard problems Bonus Points For: Experience with ASP.NET Core, Blazor, WPF, or working with 3D data Knowledge of machine learning, CI/CD, or version control systems Interest in applied engineering and model-driven development Sound like your kind of challenge? Join us-and help shape the More ❯

significant experience in iOS and Android. While our software is largely mobile based, you'll also be able to lead members of your team specialising in Python, AWS and Machine Learning. You'll be responsible for leading and managing a multidisciplinary engineering team, with a tech stack spanning (in order of importance) to the role: Mobile development (iOS & Android … Advanced algorithm development (Python) Cloud platforms (AWS) Machine Learning Web App (ASP.Net, JavaScript on Azure) Desktop App (Python) This senior leadership position requires someone who is still able and willing to be hands on with the code. As a small but rapidly growing team of 15, we're looking for a talented engineering leader, not a hands off … performing applications and platforms. Foster a culture of innovation, collaboration, and continuous improvement within the engineering team. Team Management Manage, mentor, and inspire a team that includes mobile engineers, machine learning specialists, mathematicians and physicists. Support talent acquisition, retention, and development to ensure a high-performing team. Technical Oversight Provide hands-on technical guidance for complex software development More ❯

and drive their professional growth in data and analytics • Foster collaboration across the Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy • Guide teams to develop metrics … experience in a similar role • Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous improvement. • Excellent … communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem-solver with ability to see the bigger picture of business processes • Experience mentoring and developing team members Having a background in financial services would be More ❯

and drive their professional growth in data and analytics • Foster collaboration across the Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy • Guide teams to develop metrics … experience in a similar role • Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous improvement. • Excellent … communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem-solver with ability to see the bigger picture of business processes • Experience mentoring and developing team members Having a background in financial services would be More ❯

first environment. Problem solving: Bring initiative and pragmatism to challenges in logistics, scheduling, operations, and data visibility. Platform evolution: Contribute to the roadmap as the platform grows into AI, machine learning, and advanced data services. Requirements: Proven experience in modern frontend or full-stack development (React, Flutter, Django, Python). Ability to take ideas from scratch through to … that matters. It’s A Bonus If You Have: Experience working with logistics, operations, or infrastructure platforms. Familiarity with cloud-native tooling and DevOps practices. Interest in data science, machine learning, or operational analytics. More ❯

playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that power better … outcomes. Your Opportunity: Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term use Provide technical guidance to peers and junior … business KPIs including EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations Experience managing More ❯

a media company one day as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will aid them in performing their … implementing, and deploying full-stack web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company at the forefront of digital More ❯

how data is managed and deliver to customers. Why this role? Major voice in shaping how we build and scale our data products Involved in automation, pipeline design, and machine learning projects High-impact role in a small, agile team with real ownership You’ll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc. … and recommendations to enhance the business and how they manage their data Desirable : Degree in mathematics, statistics, or computer science Experience with DevOps tools (Docker, Kubernetes, etc.) Exposure to machine learning concepts What you'll get: Salary up to £55k Flexible hybrid model – only 1 day per quarter in the office, Lincolnshire Permanent opportunity We are an equal More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations Essential Requirements A mathematics/… computer science background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise More ❯

scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. BASIC QUALIFICATIONS - 3+ 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 … with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with More ❯

analytics for operational readiness. The role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms. A deep understanding of ML pipelines, data preprocessing, model optimisation, and deployment into production. Key Responsibilities: Designing and implementing robust ML models suited … or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Essential Skills & Experience: Strong background in machine … or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal More ❯

images and text sources. The ideal candidate will have a strong background in machine learning, particularly within intelligent document processing, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand … requirements and deliver tailored solutions. Collaborate with product managers and technical teams throughout the development lifecycle. Design, test, and iterate on new and existing ML features and components. Develop robust Python-based systems using a combination of ML/OCR tools and frameworks. Support the full lifecycle of ML applications, from development through deployment, monitoring, and maintenance. Required Experience: Proven … experience in Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of More ❯

help our customers connect data, software, and purpose to create extraordinary outcomes. We are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients across various industries such as smart home devices, space exploration, beer manufacturing, finance … complex technical and statistical ideas to non-specialists Preferred Qualifications Experience in biostatistics and clinical programming Familiarity with Cloud infrastructure and services (e.g., Azure) Background in data science, including machine learning and Shiny app development Working at Ascent We promote a healthy work-life balance with flexible work arrangements. We support well-being through access to Well Being More ❯