976 to 1,000 of 2,565 Machine Learning Jobs in London

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 ...

systems such as Tanstack Query or Zustand. Strong proficiency with Python Familiarity with Git and software engineering principles Confidence in collaborating across disciplines, and learning new tools every day An appreciation for game design and development principles Nice to Have: Proficiency or familiarity with machine learning concepts ...

verbal communication skills, with experience driving alignment across teams or stakeholders Preferred qualifications 10+ years of software engineering experience, not including internships Experience with machine learning infrastructure such as GPUs, TPUs, or Trainium, and associated networking like NCCL Low-level systems experience, such as Linux kernel tuning … team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional ...

ambitious product roadmap. You’ll play a key role in shaping the culture of our Technical organisation and will learn alongside expert Software and Machine Learning Engineers. You will rapidly take on more responsibility and have a clear path to a leadership position. Please note we have … ownership. You will be designing and building the core systems that power AI for some of the most expert users in AI Budget for learning and professional growth Bi-annual team retreats Work closely with experienced founders and a team of AI scientists and engineers About the opportunity: Legal ...

system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each … augmentations, and/or reasoning about data mixtures and ablations. A hands-on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real-world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow ...

cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments. You will be part of a team that is responsible for driving adoption … Code etc.- In-depth working knowledge in a technology domain such as distributed internet-scale web or mobile applications, DevOps, Serverless, Big Data, Analytics, Machine Learning, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads etc. Amazon ...

Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. What you will be doingYou will be using your experience to help build and maintain internal and client solutions. You would ...

Finance transformation experience. Excellent communication and stakeholder management skills. Desirable Skills TOGAF, DAMA‐DMBOK, or similar architecture frameworks. Experience supporting AI, advanced analytics, and machine learning initiatives. Knowledge of SQL and/or Python. LeanIX, ARIS, or other Enterprise Architecture tooling. Geospatial data and digital twin experience. Agile ...

London. In this role, you'll make an impact in the following ways: Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency. Partner with cross-functional teams to design and implement data-driven ...

/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) In-depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience ...

research or structuring department of an investment bank or relevant buy-side experience. Excellent coding skills in Python. In-depth knowledge of machine learning and big data. Strong communication, presentation, and writing skills. Team-player attitude. Preferred Qualifications, Capabilities, and Skills: Previous experience in quant fixed income ...

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 ...

J.P. Morgan is seeking a Machine Learning Engineer to design and deliver production-grade AI solutions, bridging software engineering and research … scale enterprise applications. You will collaborate with cloud and SRE teams to build robust architectures, mentor teammates, and translate research into business-ready ML systems across a highly secure enterprise environment. This role offers opportunities for career growth and impactful work shaping banking operations. #J-18808-Ljbffr ...

Terraform Development, management, and lifecycle maintenance of Terraform modules Experience with AI platforms and services, including Azure AI Foundry and Large Language Models (LLMs) Machine Learning knowledge, including frameworks such as TensorFlow Automation-first mindset with strong DevOps practices and ways of working Experience implementing and managing Azure ...

such as CI/CD, Application Resiliency, and SecurityDemonstrated 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 systemsPractical cloud native experienceJ.P. Morgan is a global leader ...

techniques, including quantisation, speculative decoding and model parallelism across modern GPU architectures Strong software engineering skills, including Python, CUDA and building reliable systems for machine learning workloads Strong communication skills, with the ability to collaborate across research, infrastructure and engineering teams Why join us? Highly competitive compensation plus ...

/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) In-depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience ...

will bring to the role: Extensive experience in Enterprise or Solution Architecture, with a proven track record of designing and delivering large-scale AI, machine learning, cloud, or distributed technology solutions. Deep hands-on expertise in Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation ...

simple. Digitally disrupt and revolutionise a 335‐year‐old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. ...

Expertise: Advanced proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., regression, classification, clustering).Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. ...

/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) In‐depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience ...

technical and non-technical stakeholders. Preferred Qualifications Experience building centralized internal platforms or shared engineering services for operational or enterprise users. Experience applying AIOps, machine learning, or intelligent automation within production support or reliability engineering environments. Exposure to CI/CD pipelines, infrastructure as code, API-driven automation ...

technical and non-technical stakeholders. Preferred Qualifications Experience building centralized internal platforms or shared engineering services for operational or enterprise users. Experience applying AIOps, machine learning, or intelligent automation within production support or reliability engineering environments. Exposure to CI/CD pipelines, infrastructure as code, API-driven automation ...

such as CI/CD, Application Resiliency, and SecurityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...

enable Client360.Assists in establishing and monitoring key performance indicators, ensuring initiatives deliver measurable business value and support long-term strategic goals. Leverages analytics, including machine learning and AI, to help derive actionable business insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision ...