1,951 to 1,975 of 6,391 Machine Learning Jobs in the UK

architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops … Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/Machine Learning/advanced analytics Architecture repositories and modelling tools You should be comfortable operating at both strategic and technical levels - able to establish ...

data analysis and modelling tools such as Python, R, SQL, MATLAB, Power BI, Tableau or equivalent platforms. Experience developing or utilising data-driven models, machine learning tools, digital twins, predictive maintenance applications or engineering analytics solutions. Ability to interrogate, manipulate and interpret large operational and engineering datasets … ammonia, carbon capture, sustainable chemicals or energy transition projects. Experience developing AI-enabled engineering or risk management solutions, including the use of generative AI, machine learning or advanced analytics within industrial environments. Second language, particularly Arabic, German, Spanish, Mandarin or French. Business development, client relationship management or market ...

often runs through trusted research environments or trust data sharing agreements, and clinical safety documentation is part of shipping. Assessment Python and a modern ML stack, including LLM application tooling Evaluation against clinical ground truth and prospective validation Working in trusted research environments and with NHS data UK GDPR, information … Cambridge, Oxford and London hold the majority of specialist clinical AI roles. Also searched as: AI Engineer healthcare, Machine Learning Engineer healthcare, ML Engineer health, Healthcare AI Engineer. FAQ AI/Machine Learning Engineer questions, answered Not always, but experience of working through data access approvals ...

5+ years of Product Management experience delivering technical products, data products, analytics solutions, AI-powered applications, or enterprise software. Experience working within analytics, data, machine learning, AI, or other technical product domains. Strong understanding of how users interact with data and analytics products to answer questions, generate insights … define requirements, prioritize work, and deliver products iteratively. Strong familiarity with modern AI technologies, including generative AI, Large Language Models (LLMs), conversational AI, or machine learning-powered experiences. Understanding of concepts such as retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns. ...

from discovery through delivery and iteration, incorporating rapid experimentation, prototyping, and AI-assisted development Identify, shape, and prioritise AI/GenAI/agentic/ML use cases, translating them into scalable product features and measurable business outcomes Partner closely with data science and engineering teams to bring ML models … responsible AI by embedding governance, explainability, and regulatory considerations into product design and lifecycle Mentor and lead multidisciplinary teams, fostering a culture of experimentation, learning, and AI & data fluency What We're Looking For Experience in developing and delivering digital products/portfolios across B2B, B2C, or B2B2C contexts ...

role with a clear pathway toward broader leadership responsibilities.The ideal candidate combines deep knowledge of power systems with advanced expertise in signal processing and machine learning, has experience across an entire algorithm development and deployment pipeline, from first idea and proof-of-concept through to deployment across complex … design and development of advanced algorithms for power system monitoring and grid analytics (e.g., transformers, asset health, and condition monitoring)* Develop **signal processing and machine learning techniques** to extract actionable insights from real-world sensor data.* Architect and deploy solutions across the **Edge-to-Cloud stack**, including implementation ...

Inside IR35 Strong Java and Python development skills in mission-critical applications required. Proven experience building AI-based solutions in enterprise environments, including both machine learning and generative AI use cases, is highly desirable. Strong understanding of how AI can be applied to accelerate software development processes … technical support aligned to business priorities. A core focus of the role is to design, build and deliver enterprise-grade AI solutions, including machine learning and generative AI capabilities, that solve meaningful business problems and accelerate innovation. Identifies, prototypes and deploys AI-enabled solutions aligned to business needs ...

technology strategy. The AI Centre of Excellence is responsible for identifying and delivering high-value AI opportunities, developing production-grade AI and ML solutions, and supporting the wider organisation in adopting new AI technologies and engineering practices. This is an opportunity to join a technically ambitious team working across … cloud, engineering and data, with exposure to complex enterprise environments. About you Strong experience delivering production-grade AI/ML solutions Strong software engineering and architectural capability Experience working with cloud platforms, particularly AWS and/or Azure Comfortable building APIs, services and production pipelines Strong understanding of LLMs ...

responsibilities will includeArchitectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise. Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows. Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards. Recommend the optimal technical … Bachelor's or Master's Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential.Experience:5+ years of significant experience in designing end-to-end technical architectures for Machine Learning ...

responsibilities will includeArchitectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise. Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows. Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards. Recommend the optimal technical … Bachelor's or Master's Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential.Experience:5+ years of significant experience in designing end-to-end technical architectures for Machine Learning ...

complex data insights into tangible business value. Responsibilities: Optimise Fraud Detection: Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules. Enhance Payment Performance: Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs. Drive … automation. Requirements: Proficient with SQL & Python Proficient in a data visualisation software (Tableau/Looker/PowerBI/e.t.c.) Experience using a variety of machine learning algorithms Able to communicate effectively; using data to tell a story and drive business change Experience within Google Cloud preferential THG Ingenuity ...

high-performing teams in a dynamic environment* (Desirable) Understanding of content management systems and best practices, with a preference for Sitecore* (Desirable) Knowledge of machine translation technologies and mechanisms, including integration of AI-driven translation services into enterprise architectures* (Desirable) Experience in development and deployment of generative … machine learning systems, with preference for AWS Bedrock and associated AI services* (Desirable) Experience in API management and API marketplace design* (Desirable) Experience working in a multi-cultural international organisation* Language(s): English (fluent)## Job Description* Provide architectural oversight, ownership, and guidance for the design and implementation ...

DeepMind link Copy link corporate_fare DeepMind place London, UK Share Research Engineer, Astra, DeepMind link Copy link Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience. 2 years of experience conducting research or engineering systems. 2 years of experience building … Python. 2 years of experience with agentic AI workflows, frameworks, and approaches. Preferred qualifications: Master's degree or PhD in Computer Science, Machine Learning, or a related field. Experience with data collection, model fine-tuning, and evaluation. Experience with inference optimization techniques or extensive prompt tuning. Track record ...

evolve the plan honestly when priorities or evidence change, rather than defending a roadmap past its usefulness. Act as a thought leader in AI, machine learning, agentic systems and analytics trends, embedding this into product direction and helping the business understand where autonomous AI creates step-change value … single team. Write clear specs, define acceptance criteria, and stay close through delivery. Partner with data science and engineering to spot where AI and machine learning genuinely improve the product, then design those capabilities so the output is explainable and trusted. Translate data collection and processing into visualisation ...

fast-paced, high- performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within … engineering, science, computer science, or related technical field of study. Master’s or MBA degree preferred. Experience with and understanding of AI and Machine Learning is highly favorable. Exemplary written and oral communication skills. Excellent interpersonal, planning, and organisational skills. Strong analytical skills. Sales consulting or management consulting ...

operationalise SLOs, SLIs, and error budgets across platform services. Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters. Partner with ML, platform, and software teams to establish clear production readiness standards. Incident Response & On-CallParticipate in a 24/7 on-call rotation as first-line … skillsProven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems. Experience operating GPU-backed environments or large-scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps).Strong Kubernetes experience, including operating production clusters. Hands-on experience running production workloads ...

that run on endpoints to detect signs of unauthorized or malicious activity. Continuously investigating new techniques to detect emerging forms of cybersecurity violations. Applying machine learning and statistical techniques to detect anomalies and identify suspicious or unexpected behavior. Researching and developing data identifiers (e.g. regular expressions) to detect … Strong programming skills, supported by several years of professional software engineering experience Experience with Java, C, C++, or similar languages, and an openness to learning Go Familiarity with Python , which shares syntax with Starlark (our embedded scripting language) and is commonly used to prototype models A strong interest ...

secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting‐edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised … dependable at scale. Using your deep technical expertise and real‐world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Job Responsibilities Take models ...

on. Design evaluations that tell us honestly whether a model or agent is working, and act on what they show. Explain complex statistical and machine learning concepts and results clearly, through visualisation and summarisation, including to non-technical audiences. Contribute to technical discussion and help refine requirements rather … lifecycle practices. The ability to navigate typical problems independently, contribute to discussion and help shape technical requirements. The ability to communicate complex statistical and machine learning concepts and their results clearly, including to non-technical audiences. Desirable An insatiable appetite for learning and for acquiring new knowledge ...

skill and experience. Essential RequirementsYou will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

client's challenges! It would be great if you also had experience in some of these, but if not well help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Dont know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill in a given ...

portfolio of consumer technology products, including artificial intelligence platforms, devices and subscription-based services. Despite the formal title, this is not a traditional machine-learning or advanced data science role. The position is focused on digital marketing analytics, audience intelligence, campaign targeting, dashboard creation, A/B testing … insights they identified The recommendations they made The impact their work had on campaign targeting, performance or business decisions Candidates focused primarily on machine learning, advanced predictive modelling or highly technical data science are unlikely to be suitable. The strongest candidate will combine digital marketing knowledge, practical analytics ...

maintain robust logical and physical data models within GCP BigQuery. Develop scalable data structures and data integration approaches that can support future AI, machine learning, and advanced analytics capabilities. Ensure data quality, consistency, governance, and integrity across multiple enterprise data sources. Support data mapping, transformation, and optimisation activities … querying, transforming, and optimising data. Deep knowledge of data architecture and data management practices within cloud environments. Additional Skills & Qualifications experience supporting AI, machine learning, or advanced analytics initiatives with well-structured datasets. Knowledge of operational resilience, risk, regulatory, or financial services environments. Understanding of cloud data architecture ...

time-to-market against new threat vectors. The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that … consumers. You understand the intricate architecture required for high-availability, low-latency workflows. AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive ...

deliver reliable customer outcomes. Customer engagement and enablement Deliver technical demos, workshops, architecture reviews, and proof‐of‐concepts that move opportunities forward. Explain machine learning clearly to engineers, operators, executives, and other non‐technical audiences. Build trusted relationships and manage technical stakeholders from evaluation through production. Ecosystem contribution … deployments. Skills and experience Core requirements Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision. Experience training, optimizing, evaluating, and deploying machine learning models. Comfortable with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows. Experience deploying across Linux, macOS, and Windows environments. Proven ...