351 to 375 of 4,521 Machine Learning Jobs in England

Agentic Solutions using world's most advanced LLM models from Anthropic, OpenAI and others \n \n Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data. \n \n Design code and systems that touch … operations flows in diverse agile squads \n \n Opportunities to make a difference on a global or local scale through mentorship and continued learning and experiments. \n \n \n Essential Functions: \n \n \n Demonstrates in-depth technical proficiency to accurately interpret and address project requirements. \n \n Identifies ...

Founding Engineer job in London, please apply.For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today.Tagged as: Data, Java, Python, Saas, SQL, Typescript ...

About Signal Ocean Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed … while diving deep into our products and/or the shipping world. Career growth opportunities and a structured development discussion every 4 months. Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority). Regular team bonding events and activities. Fitness benefits to support ...

candidate will be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, work will directly influence how we harness ...

genuinely curious about both. Full-stack is the destination, not the entry requirement - we back that with a dedicated L&D budget, protected learning time, and the Community of Technical Practice to help you grow into the parts you haven't done before.If you're an analyst who wants … wider Data & Analytics function through our Community of Technical Practice, where you'll level up, share what's working, and pull in deeper ML, engineering or commercial depth when your squad's problem demands it.What you will be doingBe the data voice in your squad. Bring data into planning, refinement ...

Player, Creator, Publisher, and Enterprise experiences, with customer lifetime value (LTV) as the north star.This role operates within SIE’s data and AI/ML operating model: federated ownership, centralized platform and standards. The domain teams own their data products end to end, building on a centralized, governed lakehouse platform … access control via Atlan classification and Immuta) applied as a platform capability.Cross-functional CollaborationPartner with the central Data Platform organization and the AI/ML Center of Excellence (hub-and-spoke) so domain data products plug into shared platform, experimentation, real-time decisioning and serving, and productized ML services.Collaborate with ...

with our London-based team.Core Technical Qualifications:Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern ...

software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands‐on experience building applications with LLMs such as Azure OpenAI … monitoring. Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human‐in‐the‐loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain ...

software engineering projects3+ years of proven experience in managing delivery projects with a significant AI component combined with an understanding of AI concepts including machine learning, natural language processing, generative AI and Agentic AIEvidence of managing complex technical delivery, comprising bespoke engineering rather than pure COTS solutions … place where you grow.what we'll offer you:We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work ...

FTPS and automated data retrieval CI/CD, automated testing and deployment Platform reliability, monitoring and troubleshooting Azure infrastructure, security and governance Data Science, ML and increasingly agentic workflows The focus is production engineering rather than building AI models, creating the foundations that allow Data Science and automated workflows … understanding of platform, DevOps and systems engineering.They also value genuine technical curiosity. If you keep up with new technology, experiment with AI/deep learning or have side projects outside your day job, they’ll want to hear about them.A STEM background is beneficial, but not essential.Nice to haveDatabricks ...

harnesses the power of LLMs and generative AI, and combines it with Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing.Our products are already in use with major enterprises – including tier-1 banks and leading accountancy firms – across audit … work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs – for example, how to represent regulatory knowledge as machine-evaluable rules, or how to build feedback loops that improve system accuracy over time.You'll work within a shared monorepo alongside software engineers, research engineers ...

climate models. The Institute of Computing for Climate Science (ICCS) is a multi-disciplinary institute that has been established to develop and deploy machine learning and computational tools to advance the understanding of climate systems and inform decision-making for both climate change prediction and mitigation. A core ...

opportunity to work alongside and collaborate with industry experts as well as having access to a range of both internal and industry certified learning courses and qualifications.If you're looking for a role in a fast paced, exciting environment where you can make a big impact in the General … such as scalability, performance, security, and cost-effectiveness.Stay abreast of emerging technologies and industry trends, particularly in areas such as cloud computing, AI/ML, automation, and data analytics, to identify opportunities for innovation to enhance solution delivery, improve processes, and drive innovation for client engagements.Contribute to the growth ...

opportunity to work alongside and collaborate with industry experts as well as having access to a range of both internal and industry certified learning courses and qualifications.If you're looking for a role in a fast paced, exciting environment where you can make a big impact in the General … such as scalability, performance, security, and cost-effectivenessStay abreast of emerging technologies and industry trends, particularly in areas such as cloud computing, AI/ML, automation, and data analytics, to identify opportunities for innovation to enhance solution delivery, improve processes, and drive innovation for client engagementsContribute to the growth ...

measurement.You naturally look for what can be reused, improved, and scaled.ð ️ What You BringQualifications & Experience5–10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.Hands-on experience delivering AI, GenAI, or software solutions into production.Experience working directly with clients … London officeAccess to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)Auto-enrolment pension scheme with Aegon.Training & Development via KLX (Keyrus Learning Experience)Strong focus on career development and internal mobility.Electric & hybrid car scheme via TuskerAnnual discretionary bonus, based on individual and company performanceReferral bonus for introducing ...

formal management authority.* Clear communication skills and experience working across engineering, data science, security, architecture, and product teams.## Bonus points* Experience with AI or machine learning platforms, model-serving infrastructure, MLOps, or data-intensive services.* Knowledge of advanced networking, API management, distributed systems, service mesh, or zero-trust … teams:** We bring together software engineers, data scientists, security specialists, product partners, and technical leaders to deliver dependable systems.**Continued development:** We support continuous learning, deeper technical specialization, and broader architectural responsibility.## Equal opportunity and reasonable accommodationsWe are committed to equal opportunity and an inclusive recruitment process. We welcome ...

etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech ...

requirements gathering and design to implementation and testing.Stay abreast of emerging technologies and industry trends, particularly in areas such as cloud computing, AI/ML, automation, and data analytics, to identify opportunities for innovation within Real Estate technology and operations.Mentor and develop junior team members, fostering a culture of learning … complex problems and challenging themselves to work in new fields to contribute to market facing propositions, client engagements and internal initiatives. Dedicated to learning and staying up to date with emerging market and industry trends.Professional experience needs to include:Proven experience as a Solution Architect or Technical Business Analyst ...

with the ability to work hands-on where required. Experience designing integrations across multiple enterprise platforms, APIs and external data sources. Knowledge of AI, machine learning or Large Language Model use cases within operational environments. Ability to operate across strategy, architecture and delivery while remaining pragmatic and outcome ...

professional services firms. Our Artificial Intelligence & Data (AI&D) team at Deloitte is at the forefront of transforming our clients’ industries through advanced analytics, machine learning, and artificial intelligence. Our clients include some of the largest and most well-known organisations, brands and public bodies. We partner with … develop solutions that leverage the latest AI & Data technologies.At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting next ...

distribution environment.Hands-on experience developing dashboards in Looker Studio, Power BI, or Tableau, alongside experience with GCP, BigQuery, or automated data pipelines.Knowledge of machine learning techniques, clustering algorithms, LFL metrics and rebate/margin bridge analysis.Why Join Us This is a highly visible technical role with direct impact ...

distribution environment.Hands-on experience developing dashboards in Looker Studio, Power BI, or Tableau, alongside experience with GCP, BigQuery, or automated data pipelines.Knowledge of machine learning techniques, clustering algorithms, LFL metrics and rebate/margin bridge analysis.Why Join Us This is a highly visible technical role with direct impact ...

systems level analyses.Work with combinations of diverse data types, including gene expression, genetic, VDJ repertoire, spatial, and proteomic datasets, to generate biological insights.Apply statistical, machine learning, and systems biology approaches to answer key scientific questions.Communicate complex findings clearly to scientific and non-scientific audiences.Support the continuous evolution ...

Advanced knowledge of software applications and technical processes with considerable in‐depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversightExperience in Computer Science, Computer Engineering, Mathematics ...