76 to 100 of 1,707 Machine Learning Jobs in the UK excluding London

background or demonstrable project experience focused on Machine Learning, Natural Language Processing (NLP), or Artificial Intelligence . Proficiency with core AI/ML libraries and languages, including Python, PyTorch/TensorFlow, Scikit-Learn, and LLM integration frameworks . Demonstrable experience with data preprocessing, model fine-tuning, evaluation metrics … novel algorithms to continually enhance insight accuracy. Location: Commutable to our Truro HQ. Work Model: 100% Office-based attendance required. Software: Confident with Python, ML frameworks, Git, and JIRA. Right to Work: Must have the right to work in the UK. Please note: While Hertzian is licensed to issue Sponsorship ...

fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams. Key job responsibilities - Design and implement machine learning models that power … ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems. - Collaborate with engineers, scientists, and product managers to define requirements, create solutions, and deliver products that improve the hiring experience. - Participate in the full ...

Associate: Machine Learning/Computational Modelling Engineer Job title KTP Associate: Machine Learning/Computational Modelling Engineer Department Chemical Engineering Salary Starting from £35,000, rising to £45,000 Do you have a strong interest in using artificial intelligence and machine learning techniques … project with one of the UK’s leading research-intensive universities whilst pursuing a career in industry? We are seeking an Engineer in Machine Learning or Computational Modelling for a Knowledge Transfer Partnership (KTP) Associate position based at ioMosaic International Ltd in Bath. About the role This Knowledge ...

technologies like neural networks, natural language processing, and computer vision. Participate in regular team meetings and brainstorming sessions. Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow, PyTorch, and Scikit-learn. Learn about data pipelines, from data ingestion to model deployment. Deepen your understanding … projects that impact our business and customers. Receive mentorship and guidance from experienced professionals in the AI field. Requirements Passion for AI/ML: Demonstrated interest in artificial intelligence and machine learning. Education: Currently pursuing or recently completed a degree in Computer Science, Mathematics, Data Science, or a related ...

asked to work on teams other than Triton. The Team The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – PyTorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness … Understanding of computing architectures. Experience of maintaining and supporting a complex code base. Experience in profiling/optimising high performance code. Experience of writing ML kernels. Experience of using and/or development of ML Frameworks. Experience in a computationally intensive engineering field. In addition to a competitive salary, Graphcore ...

asked to work on teams other than Triton. The Team The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – PyTorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness … Understanding of computing architectures. Experience of maintaining and supporting a complex code base. Experience in profiling/optimising high performance code. Experience of writing ML kernels. Experience of using and/or development of ML Frameworks. Experience in a computationally intensive engineering field. In addition to a competitive salary, Graphcore ...

Opportunity A leading financial consultancy is seeking an experienced Senior Data Scientist to deliver AI, Machine Learning and Data Science solutions for major financial services clients. This is an excellent opportunity to lead technical delivery, shape AI strategy and work on cutting-edge technologies within a client-facing … environment. Key Responsibilities Deliver AI and machine learning solutions using modern data science techniques. Lead technical design and architecture discussions. Manage and mentor small teams of Data Scientists. Develop and deploy production-grade machine learning models. Engage with senior stakeholders and contribute to business development initiatives. ...

Authority and the postholder will be responsible for but not limited to: Translating business needs into requirements suitable for framing Machine Learning (ML) solutions Creating ML Models to uncover hidden and complex patterns, making predictions about future events and transforming raw data into actionable insights. Models may include … predictions and forecasts, text analytics and Natural Language Processing (NLP), as well as unsupervised tasks such as anomaly detection Researching, proposing and prototyping ML models to demonstrate and provide business value to solve specific business problems Designing, developing and implementing ML model experiments using a scientific approach to configure, organise ...

Researcher positions in probabilistic machine learning: Research Fellow, Postdoc and PhD Student Manchester Centre for AI Fundamentals has researcher positions open at several levels: Research Fellow, Postdoc and Postgraduate Research Student (funded). DL June 30, 2022 I am hiring researchers to my team working on probabilistic machine learning. Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different researchers work on different ...

Postdoc in Bayesian machine learning, AstraZeneca, Cambridge, UK Mar 29, 2018 PREDICTING DRUG TOXICITY WITH BAYESIAN MACHINE LEARNING MODELS We’re currently looking for talented scientists to join our innovative academic-style Postdoc. From our centre in Cambridge, UK you’ll be in a global pharmaceutical … with the guidance and knowledge you need to develop your career. You will be part of the Quantitative Biology group and develop comprehensive Bayesian machine learning models for predicting drug toxicity in liver, heart, and other organs. This includes predicting the mechanism as well as the probability ...

Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open … maintain scalable AI data pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. ...

Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Aug 18, 2023 Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Keywords include automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulator-based inference. More background: The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields ...

Description Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions … Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us at Barclays as an Integrated Financial Crime Machine Learning Engineer. You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank. ...

Machine Learning per la risoluzione di problemi complessi e l’automazione di processi decisionali Sviluppo, addestramento, validazione e testing di modelli ML e Deep Learning in autonomia Ottimizzazione delle performance dei modelli tramite tecniche di tuning, validazione incrociata e monitoraggio continuo Implementazione di pipeline ML … codice, rispetto delle tempistiche e standard architetturali Supporto tecnico e mentoring verso figure junior e mid-level Aggiornamento continuo sulle tecnologie AI/ML, framework e best practice di sviluppo cloud-native Competenze richieste Almeno 5 anni di esperienza in ruoli di Machine Learning Engineer Ottima conoscenza ...

training programmes and industry-focused development. This is a hands-on opportunity to develop data solutions, analytical frameworks and models that support AI and machine learning initiatives. You'll work across the full data lifecycle, from collecting and managing datasets through to advanced analysis and predictive modelling. … have a background in Data Analytics, Data Science or Data Management, alongside experience with Python, SQL, data modelling and an understanding of AI and machine learning. Key Responsibilities Design and develop data solutions, pipelines, models and analytical frameworks. Collect, cleanse, transform and manage data from multiple sources. Perform data ...

effectively, and at scale. We're particularly interested in engineers who have helped organisations establish the foundations for AI-led development, including data platforms, ML pipelines, governance frameworks, deployment processes, and production support models. What You'll Be Doing You'll act as a senior technical anchor for both data … native data platforms that support analytics, machine learning, and AI workloads Develop robust data pipelines supporting both traditional analytics and AI/ML use cases Work directly with technical and non-technical stakeholders to translate operational problems into scalable data and AI solutions Design data models, integration patterns ...

understanding business requirements, identifying opportunities for AI‐driven automation and intelligence, and building production‐ready solutions that leverage technologies such as large language models, machine learning, and intelligent workflows to drive innovation and business impact. KEY RESPONSIBILITIES Design, develop, and deliver AI-powered solutions and services using .NET … Azure AI services, Azure OpenAI, Azure AI Search, Azure Machine Learning, SQL Server, cloud‐native development, Semantic Kernel, and production AI/ML deployments. Experience contributing to shared platforms, reusable services, and architectural standards across multiple products is highly valued. EQUAL EMPLOYMENT OPPORTUNITY It is Sun’s policy ...

understanding business requirements, identifying opportunities for AI-driven automation and intelligence, and building production-ready solutions that leverage technologies such as large language models, machine learning, and intelligent workflows to drive innovation and business impact. KEY RESPONSIBILITIES Design, develop, and deliver AI-powered solutions and services using .NET … Azure AI services, Azure OpenAI, Azure AI Search, Azure Machine Learning, SQL Server, cloud-native development, Semantic Kernel, and production AI/ML deployments. Experience contributing to shared platforms, reusable services, and architectural standards across multiple products is highly valued. EQUAL EMPLOYMENT OPPORTUNITY It is Sun’s policy ...

support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. This role can be hired at different grades, eg a recent PhD graduate or someone with … advantage (eg C, C++, Julia, R, Rust, etc) Experience delivering computational tools, models, or analytical methods Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageous An interest in leading projects What you'll get in return As well as a highly ...

support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. The role is permanent and hybrid working - it requires some time on site (preferably 3 days/… Experience owning projects and delivering computational tools, models, or analytical methods from development through validation Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageous The ability to independently lead projects and drive scientific direction with minimal supervision What ...

Engineering. This position offers a unique opportunity to contribute to a major new UKRI-funded Fellowship at the intersection of artificial intelligence, scientific machine learning and subsurface engineering. The research focuses on developing physics-informed machine learning approaches to improve understanding of the subsurface, a critical … other net-zero energy infrastructure. Prior domain experience in geotechnics, geophysics or offshore engineering is not required. We welcome applications from candidates in machine learning, artificial intelligence, computer science, statistics, data science, engineering, applied mathematics, physics or a closely related discipline. The successful candidate will undertake research ...

sits at the intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions.You must currently come from, or have recent experience working within, a consultancy or professional services environment , with experience … within larger data and AI transformation programmes.- Design, build and maintain scalable data pipelines, datasets and data models.- Develop solutions that support analytics, reporting, machine learning and AI use cases.- Work with both structured and unstructured data from multiple sources.- Develop and implement AI and machine learning ...

Digital Technology, Engineering and Manufacturing, Supply Chain and Logistics Software Engineer Intern (12 months) - Starting Summer 2027 Project Title: Machine learning for future energy applications About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks … sciences to meet the current and future challenges of the industry. Description & Scope: You will join the Systems and Processes team. We investigate how machine learning, optimization, and AI can be used to understand next-generation energy and thermal management systems. We use techniques like reinforcement learning ...

developing your knowledge and skills in an area that interests you, whilst working towards your apprenticeship qualification with one of our learning providers. WHY JOIN THIS SCHEME? Data Science isevolvingtheway the BBC operates. Our data scientists help us to better understand the customersweserve,and the content served to them … valuable insightsand products to better serve audience needs. Whether audiences arewatching on BBC iPlayer,listening on BBC Sounds,reading BBC News and BBC Sportarticlesor learning on BBC Bitesize,behind the scenes data scientists are at work...fancy being one of them?! Want to find out more? Watch recordings from ...

silicon photonics platforms. To expand our world leading design capability, we are looking for a software and simulation engineer with experience in machine learning and artificial intelligence techniques. The role will be working in the design team alongside our device design experts using a range of tools … techniques. This role will span from model building through full simulation automation and optimization. The role will require extensive knowledge of a range of machine learning techniques including multi-parameter optimization and inverse design. Automation of test data analysis and correlation to design variants is also necessary ...