876 to 900 of 2,708 Machine Learning Jobs in London

technical platform capabilities across the product lifecycle. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

J.P. MORGAN is seeking an NLP/LLM Scientist – Applied AI ML Lead to advance the Machine Learning Center of Excellence. You will tackle NLP, LLMs, and recommendation systems with deep learning methods. You will work with Business, Technology, Product, Legal, and Compliance to deploy robust ML ...

diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance … with Golang is advantageous. Experience using Apache Kafka is a big plus. About Business Unit IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action ...

curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career GrowthWe … level customer engagement- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.- Experience in data science, machine learning or data mining- Knowledge of distributed applications/enterprise applications- Experience in specific technology domain areas like software development, cloud computing, systems ...

discovery actually usable at scale. What You’ll Do Run and scale Kubernetes (incl. GPU workloads) Own cloud infrastructure and infra-as-code Support ML training & inference pipelines Manage CI/CD, observability, and deployments Handle databases, storage, and migrations Build automation (Python/Bash) Work closely with ML, backend … Looking For 4+ years in platform/DevOps/infra Strong Kubernetes, Docker, cloud (AWS/GCP/Azure) GPU workloads/ML infra Experience designing & operating multi-tenant architectures with strict tenant isolation Familiarity with autoscaling & service isolation Experience with CI/CD, databases, infra-as-code Comfortable debugging ...

systems.- Provides operational support and leadership for production systems in a "you-build-it-you-run-it" culture, including incident response, post-incident learning, and continuous reliability improvements.- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials … including setting standards and driving adoption across teams.- Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc.- Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services ...

technical platform capabilities across the product lifecycle. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time-series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

Engineer to join us permanently. Within this role, you’ll be working in a cross-functional Payments team in partnership with mobile, web and machine learning/data science teams to drive the team to success. Responsibilities Work closely with Engineering Managers, Product Managers, Product Designers, and various … employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Twice-yearly development chats and yearly performance reviews Learning budget Upskilling our employees with company-wide training workshops, materials and resources Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching ...

full model lifecycle, from data preparation through to production and you will translate research decisions into systems that set the direction for how machine learning operates across Klarna. You will be part of a small, high ownership team where what you build has genuine impact on the products … working in a small, high ownership team on open ended technical problems Awesome to have Experience with Triton kernels or GPU-level optimisation Broader ML background spanning areas beyond deep learning Experience with large-scale transactional or financial data Background in ML infrastructure or MLOps Please include ...

technical sales engineering or software engineering with cloud-native architectures. Experience architecting, training, or deploying machine learning models and managing AI/ML infrastructure. Experience working with the early-stage startup ecosystem, including founders, venture firms, or accelerators. Preferred qualifications: Direct experience as a startup Founder, Co-Founder … community through open-source contributions, technical publications, or speaking at industry conferences in the field of AI/ML. Deep expertise in AI/ML, specifically with large language models (LLMs) and generative AI applications. Ability to communicate in English and French fluently to communicate in this customer-facing sales ...

technical sales engineering or software engineering with cloud-native architectures. Experience architecting, training, or deploying machine learning models and managing AI/ML infrastructure. Experience working with the early-stage startup ecosystem, including founders, venture firms, or accelerators. Preferred qualifications: Direct experience as a startup Founder, Co-Founder … community through open-source contributions, technical publications, or speaking at industry conferences in the field of AI/ML. Deep expertise in AI/ML, specifically with large language models (LLMs) and generative AI applications. Ability to communicate in English and French fluently to communicate in this customer-facing sales ...

Nice to have: experience with telemetry, sensor, location, and operational technology data platforms; large-scale video, image, and unstructured media datasets; feature engineering and machine learning data preparation; private cloud and on-premises environments; maritime, fleet, vessel operations, logistics, or industrial operational domains Условия Salary varies by regional ...

. 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 ...

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 ...

engineers on safe, compliant adoption within delivery practices. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Practical experience in cloud computing. Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP ...

track record leading analytics or data science teams and driving insight-led decision making. Strong expertise in AI-driven marketing optimisation, advanced modelling and machine learning applications within marketing environments. Deep understanding of Marketing Mix Modelling, attribution, incrementality testing, customer lifetime value and audience segmentation. Experience operating ...

will contribute to our agenda to transform the investment bank into a data-driven business, promoting change through state-of-the-art AI and machine learning techniques. This is a hands-on, implementation-focused role, and we are looking for someone with proven experience designing and building scalable ...

/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.). Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver impactful ...

issues in a simple way. Team player, interested in sharing knowledge and helping to develop the team. Skills in data science, predictive modelling & analytics, machine learning, AI Required Education Qualified actuary (FIA) or holder of an equivalent qualification from a recognised actuarial professional body. Excellent academic qualifications including ...

development experience. Strong expertise in kdb+/q and Python. Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience. Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies. Strong background in quantitative analysis, including mathematical modelling, statistics ...

make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption ...

Experience using AI tools like GitHub Copilot to enhance software development productivity. Nice to Have: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience developing multi-agent systems or autonomous reasoning workflows. Familiarity with front-end tools like React or Next.js ...

Strong commercial experience with Python and SQL. Solid experience working on data science or AI projects. Experience with AWS, Azure or GCP Experience with ML and modern LLM/RAG systems. Strong communication skills and ability to collaborate with international teams Experience delivering data-driven solutions in a production environment ...

development 🗄️ SQL, databases & data platforms 🔄 Data pipelines & ETL/ELT 🔌 APIs & backend engineering 🚀 CI/CD & production systems 📊 Analytics & modern data platforms 🤖 AI/ML and emerging AI technologies It's a strong opportunity for someone early in their career who wants to develop into a well-rounded Full Stack ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands‐on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...