1,276 to 1,300 of 3,263 Machine Learning Jobs in the UK

build technology demonstrations and proof of concept product prototypes. The team cover a diverse range of research topics including power electronics, sensor technology, machine learning, embedded systems and embedded software. We work closely with internal Dyson teams, external research institutions and suppliers to consider all aspects of complex … desirable. Experience of C/C++ programming for embedded systems is essential. Experience with ARM based microcontrollers and microprocessors. Experience programming in assembly/machine code desirable. Experience of MCU analogue data acquisition for sampling high-speed signals. Experience of using MATLAB, Python or similar tools for simulation, data ...

analysis. Commercially minded with the ability to balance rigour and pace. Comfortable working through ambiguity and solving open-ended business problems. Interest in AI, machine learning and emerging technologies. Ability to communicate complex findings clearly to both technical and non-technical audiences. Experience with product analytics, opportunity sizing … What They Offer Significant investment in Data & AI capabilities. Opportunity to help shape a growing team expanding from 10 to approximately 16 people. Dedicated learning and development support. Long-term career progression as the Data & Analytics function continues to scale. Exposure to cutting-edge AI, experimentation and product development ...

your career. You’ll collaborate with talented professionals, solve complex challenges, and help build trusted market‐leading products. We value creativity, inclusion, and continuous learning, offering you the opportunity to grow and thrive. At JPMorganChase, your ideas and expertise will help us push the limits of what’s possible. … including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile) In‐depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience ...

build technology demonstrations and proof of concept product prototypes. The team cover a diverse range of research topics including power electronics, sensor technology, machine learning, embedded systems and embedded software. We work closely with internal Dyson teams, external research institutions and suppliers to consider all aspects of complex … transfer. Experience of C/C++ programming for embedded systems is essential. Experience with ARM based microcontrollers and microprocessors. Experience programming in assembly/machine code desirable. Experience of MCU analogue data acquisition for sampling high-speed signals. Working knowledge of Python for general scripting. Experience of using MATLAB ...

report progress and issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist Execute the application of machine learning and statistical modelling tools suited to the identified initiative. You'll be skilled at storytelling, being able to explain the generated solution … Given the pace of change in new technologies and techniques, you'll show commitment to keeping your own knowledge up to date through self-learning, and be supported with opportunities to complete relevant courses, attend industry events, and obtain technical certifications. You'll also be given the opportunity ...

Kubernetes & Helm - Elasticsearch & Kibana - Infrastructure as Code (Bicep) - CI/CD pipelines Desirable - Microsoft Entra ID - Azure API Management - Azure Log Analytics - Azure Machine Learning Studio - Knowledge of RBAC, monitoring, auditing and enterprise security. Experience - Proven commercial experience developing cloud-based applications using Node.js, TypeScript and Azure. - Experience ...

will present your findings to customers alongside sales. Technical integrations: Work with our product team to assist with the integration of new models and ML‐Ops tools into V7. Marketplace integration: Develop and maintain integration into major cloud marketplaces so users can more easily set up V7 on their cloud … prompt engineering, RAG, and/or measuring AI accuracy. Two years plus experience in solutions architecture or integrating multiple applications/data streams, or ML development within customer‐facing roles. Intermediate experience with Python. University degree in computer science, engineering, mathematics or related fields. Solutioning: ability to develop and articulate ...

Tableau Strong experience in data modelling, transformation, ETL/ELT pipelines and data warehousing Awareness or experience with Big Data, Data Science, AI or Machine Learning technologies Excellent communication, problem‐solving and stakeholder management skills Additional Information Applicants must hold active Security Clearance or be eligible to obtain ...

tools to support reserving workflows Automating actuarial processes using Python and modern AI technologies Building intelligent reserving models and decision-support tools Applying machine learning and LLMs within actuarial use cases Transforming how reserving teams operate through technology Working directly with leading insurers on large-scale actuarial transformation ...

compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most … technical obligations. Strategic Communication: Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, and government leadership Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds Present technical roadmaps and status updates to senior government ...

integren enfoques tradicionales y avanzados: técnicas clásicas (regresión, series de tiempo, clustering), metodologías estocásticas (optimización bajo incertidumbre , simulaciones Monte Carlo) y algoritmos de machine learning (redes neuronales, árboles de decisión, modelos bayesianos). Realizar la documentación de los estudios de analítica avanzada tales como: modelos, segmentación: Registrar … carreras afines. Dominio de Python. Dominio de SQL o herramientas afines. Experiencia sólida en entorno Azure. Dominio en herramientas de Inteligencia Artificial y Machine Learning. Conocimientos técnicos sólidos en modelamiento, segmentación y propensiones. Familiaridad con LLMs (Modelos de Lenguaje Extenso) (Valorado) Desarrollo e integración de APIs (Deseable). Banca ...

talent intelligence platform, and ServiceNow HRSD. Build and prototype solutions leveraging HR‐specific AI platforms, taking ideas from POC to production. Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards. Establish AI performance monitoring and responsible … integration patterns, including REST and SOAP APIs, event‐driven architecture, synchronous and asynchronous processing, and data transformation. Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems. Experience delivering AI/ML and automation solutions within HR systems. Experience with digital assistants ...

with organizational standards.Foster collaboration across internal and global teams.Required Skills:5-8 years of hands-on experience in Data Science, Data Engineering, AI/ML, or related fields.Proven experience delivering Generative AI solutions in enterprise environments.Demonstrated success leading AI programs and engaging with senior stakeholders.We are a Disability Confident Employer … have invested in wellbeing apps such as Thrive and Peppy.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous ...

Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. What ...

from zero and progressing without a fully defined problem, perfect data or an obvious delivery path. Action oriented and evidence led, using focused tests, learning and iteration to deliver value quickly while protecting quality, scalability and responsible use. Desirable Skills Background in top-tier strategy or management consulting … technology transformation, product leadership or innovation, supported by hands-on delivery experience. Experience with generative and agentic AI, machine learning, predictive analytics, retrieval-augmented generation and enterprise knowledge systems. Knowledge of data architecture and readiness, cloud AI platforms, enterprise integration patterns, AI governance, security and responsible AI practices. ...

customers’ business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers – we seek to ideate and bring to life what’s next for our clients.## **The Focus Of Your Role and What … multiple full lifecycle implementations* A passion for data and insights* Expert knowledge of BI, visualisation and storytelling concepts* A desire to broaden your skillset, learning and utilising other tools as required* Knowledge and experience of data warehousing concepts and SQL are desirable* Experience in interfacing with senior client stakeholders ...

feedback, and development planning. 11. Coach and develop as needed, building leadership capability within the team. 12. Foster a culture of psychological safety, accountability, learning, and inclusion. 13. Manage succession planning and retention of critical skills. 14. Role model and uphold the leadership behaviours outlined in the Behavioural Framework. … requirements. 20. Architect cloud networking (VPN, dedicated InterconnecT, peering) and hybrid data movement pipelines between on-prem and cloud. 21. Define the AI/ML infrastructure strategy: platform capabilities required to support distributed training, inference, and MLOps at scale. 22. Establish FinOps practice for HPC: cloud cost visibility, chargeback/ ...

venture-backed SaaS organisation specialising in data-driven marketing solutions for major consumer brands and agencies. They focus on leveraging AI, automation, and machine learning to support smarter decision‐making in marketing. Role Overview The Senior Full Stack Product Engineer will be responsible for building and delivering high ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … user needs and business plans that extend to our global markets.Enable business initiatives and support decision-making by balancing user-centric design with machine learning capabilities.Minimum Qualifications:At least 5 years of recent experience in product management within European e-commerce.Bachelor’s degree in Computer Science, Business Administration ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Proven ...

aspect of the premium calculation; understand how RADAR and rate changes in RADAR work Stay abreast of the latest advancements in data science and machine learning, identify opportunities to incorporate new technologies and methodologies into the team's work Promote a culture of continuous learning, encourage ...

safe environment for all teammates to succeed. Preferred/Nice‐to‐Have Skills Experience designing large‐scale data platforms. Experience designing AI and machine learning platforms. Experience designing container platforms. #LI-ME1 Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/ ...

months, a credible path toward a confidence-aware, probabilistic foundation is underway. The methodology is documented, defensible, and ready to be productionised by ML Ops. 2. Contracted deliverables ship on time, every time Deepnest clients receive their analytical reports and insight outputs to a consistently high standard and on schedule. … constant challenges. Background in high-volume, complex real-world data industries: satellite and geospatial, weather forecasting, industrial IoT, manufacturing, is a bonus. Deep learning familiarity: A strong practical understanding of the implications of working with data derived from deep learning models; specifically the nuances of integrating computer vision ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience in developing, debugging and automated ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry and IT systems Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills: Hands ...