1,151 to 1,175 of 2,366 Machine Learning Jobs in the UK excluding London

years of Product Management experience in deep tech, AI infrastructure, semiconductors, HPC, or adjacent domains. 2+ years of engineering or technical hands-on experience. Strong familiarity with AI/ML frameworks, compute acceleration, or hardware/software co-design. Proven track record of owning roadmaps from concept to launch in fast-moving or early-stage environments. Market analysis and competitive More ❯

years of Product Management experience in deep tech, AI infrastructure, semiconductors, HPC, or adjacent domains. 2+ years of engineering or technical hands-on experience. Strong familiarity with AI/ML frameworks, compute acceleration, or hardware/software co-design. Proven track record of owning roadmaps from concept to launch in fast-moving or early-stage environments. Market analysis and competitive More ❯

years of Product Management experience in deep tech, AI infrastructure, semiconductors, HPC, or adjacent domains. 2+ years of engineering or technical hands-on experience. Strong familiarity with AI/ML frameworks, compute acceleration, or hardware/software co-design. Proven track record of owning roadmaps from concept to launch in fast-moving or early-stage environments. Market analysis and competitive More ❯

solving methods and approaches Effective communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification and validation An understanding of More ❯

and communication skills, with the ability to engage with technical and non-technical stakeholders. Nice to have: Experience with application and data modernisation strategies. Knowledge of analytics, AI/ML services, and real-time data processing in Azure & Fabric Familiarity with Microsoft 365 and Power Platform. Certifications such as: DP-300: Administering Relational Databases on Azure, AI-102: Designing and More ❯

and communication skills, with the ability to engage with technical and non-technical stakeholders. Nice to have: Experience with application and data modernisation strategies. Knowledge of analytics, AI/ML services, and real-time data processing in Azure & Fabric Familiarity with Microsoft 365 and Power Platform. Certifications such as: DP-300: Administering Relational Databases on Azure, AI-102: Designing and More ❯

and communication skills, with the ability to engage with technical and non-technical stakeholders. Nice to have: Experience with application and data modernisation strategies. Knowledge of analytics, AI/ML services, and real-time data processing in Azure & Fabric Familiarity with Microsoft 365 and Power Platform. Certifications such as: DP-300: Administering Relational Databases on Azure, AI-102: Designing and More ❯

transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated success in delivering measurable More ❯

transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated success in delivering measurable More ❯

transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated success in delivering measurable More ❯

with their broader transformation goals. Support strategic account leads in identifying opportunities for deepened client engagement. Business-Technical Communication Serve as the trusted bridge between engineering teams (AI/ML, data, DevOps) and non-technical stakeholders. Frame technical progress and limitations in accessible, value-oriented language. Support tech leads by surfacing risks and clarifying feasibilitywithout micromanaging solutions. Provide critical input More ❯

early in the lifecycle. Continuous Improvement Identify opportunities to simplify and modernise the data landscape by rationalising legacy platforms and redundant data stores. Stay current with emerging technologies (AI, ML, data mesh, data fabric) and translate them into tangible business capabilities. Contribute to the refinement of the North Star architecture and enterprise data capability roadmap. Key Interfaces Enterprise Architecture Domains More ❯

early in the lifecycle. Continuous Improvement Identify opportunities to simplify and modernise the data landscape by rationalising legacy platforms and redundant data stores. Stay current with emerging technologies (AI, ML, data mesh, data fabric) and translate them into tangible business capabilities. Contribute to the refinement of the North Star architecture and enterprise data capability roadmap. Key Interfaces Enterprise Architecture Domains More ❯

on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test More ❯

on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test More ❯

into service, and effective support during hypercare. Drive innovation through research, prototyping, tool evaluations and the adoption of emerging technologies , including low-code/no-code platforms, AI/ML, and event-driven architectures. Champion continuous improvement in development methodologies, tools, and processes, contributing to the definition and governance of internal standards and best practices. Lead improvements to drive efficiencies More ❯

or hybrid consultancy environment. Proven experience leading data initiatives in one or more of the following areas: MarTech implementation, data warehousing, analytics strategy, cloud data platforms, or AI/ML use cases. Strong understanding of tools and ecosystems such as GA4, Adobe Analytics, CDPs, CRM systems, Google Cloud, AWS, and visualization platforms. Strategic yet pragmatic — you connect business outcomes with More ❯

scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signal processing and AI/machine learning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team at the Bath Institute for … timeframe. This role is ideal for a researcher keen to make an immediate contribution and strengthen their profile in AI for neurotechnology through impactful short-term work. - AI/ML research, particularly deep learning using platforms such as Keras, PyTorch, or TensorFlow - Developing and testing novel or customised AI models for complex, noisy, real-world datasets - Software optimisation for … allowance with an additional five discretionary days so that you can enjoy a positive work-life balance - A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning, and more - Free entry to the Holburne Museum in Bath - Local discounts and more - A family-friendly workplace - An excellent rewards package that recognises the talents of our diverse More ❯

scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signal processing and AI/machine learning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team at the Bath Institute for … timeframe. This role is ideal for a researcher keen to make an immediate contribution and strengthen their profile in AI for neurotechnology through impactful short-term work. - AI/ML research, particularly deep learning using platforms such as Keras, PyTorch, or TensorFlow - Developing and testing novel or customised AI models for complex, noisy, real-world datasets - Software optimisation for … allowance with an additional five discretionary days so that you can enjoy a positive work-life balance - A wide range of personal and professional development opportunities, including Apprenticeships, online learning, and more - Free entry to the Holburne Museum in Bath - Local discounts and more - A family-friendly workplace - An excellent rewards package that recognises the talents of our diverse More ❯

scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signal processing and AI/machine learning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team at the Bath Institute for … timeframe. This role is ideal for a researcher keen to make an immediate contribution and strengthen their profile in AI for neurotechnology through impactful short-term work. - AI/ML research, particularly deep learning using platforms such as Keras, PyTorch, or TensorFlow - Developing and testing novel or customised AI models for complex, noisy, real-world datasets - Software optimisation for … allowance with an additional five discretionary days so that you can enjoy a positive work-life balance - A wide range of personal and professional development opportunities, including Apprenticeships, online learning, and more - Free entry to the Holburne Museum in Bath - Local discounts and more - A family-friendly workplace - An excellent rewards package that recognises the talents of our diverse More ❯

scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signal processing and AI/machine learning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team at the Bath Institute for … timeframe. This role is ideal for a researcher keen to make an immediate contribution and strengthen their profile in AI for neurotechnology through impactful short-term work. - AI/ML research, particularly deep learning using platforms such as Keras, PyTorch, or TensorFlow - Developing and testing novel or customised AI models for complex, noisy, real-world datasets - Software optimisation for … allowance with an additional five discretionary days so that you can enjoy a positive work-life balance - A wide range of personal and professional development opportunities, including Apprenticeships, online learning, and more - Free entry to the Holburne Museum in Bath - Local discounts and more - A family-friendly workplace - An excellent rewards package that recognises the talents of our diverse More ❯

Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested? Message me here or email mmatysik More ❯

Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested? Message me here or email mmatysik More ❯

Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested? Message me here or email mmatysik More ❯

shape the next generation of technology leaders, we want to hear from you! About Us Regent College London is a leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence — reflected in our 90% student satisfaction rating (NSS 2025). The Role As a … Programming in C# Data Structures and Algorithms in Java Databases using SQL Advanced Databases and Big Data using Python Web Design Programming using ASP .Net Core Cloud Computing Applied Machine Learning using Python Key Responsibilities Student Academic Support : Be the primary academic contact for a cohort of students, supporting their learning journey and progression. Address engagement and … collaboration with wider student services. Academic Leadership : Line manage academic colleagues, allocate workloads, and contribute to staff development, recruitment, and induction. Teaching & Curriculum Delivery : Design and deliver high-quality learning and teaching across undergraduate electrical engineering. Assessment & Quality : Set, mark, and moderate assessments; contribute to assessment board preparation; review academic integrity cases; and enhance student feedback processes. Programme Enhancement More ❯