1,576 to 1,600 of 6,477 Machine Learning Jobs in the UK

including CI/CD, application resiliency, and securityDemonstrated 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 systemsPractical cloud native experiencePreferred Qualifications, Capabilities, and Skills: Experience with ...

/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 ABOUT US J.P. Morgan ...

Expertise in driving Agile transformation, DevOps maturity, and engineering best practices across global teams. AI & Automation Enablement – Proven experience driving adoption of AI/ML and automation across SDLC, developer productivity, and client‐facing platforms. Stakeholder & Front‐Office Partnership – Strong ability to collaborate with Sales, Trading, and Quant teams … integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively ...

emerging threats, attack techniques, attack surfaces, and best practices in cloud security. Contribute to the development and training of AI-driven detection models, leveraging machine learning to improve investigation accuracy and response efficiency. Requirements Based in Belfast, NI. This is a hybrid, in-office, 3 days per week ...

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 ...

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)Ability to solve data-oriented problems using technologies such as SQL, Relational DB, Spark, NoSQL, optimizing for performancePreferred Qualifications, Capabilities ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

methodologies, CI/CD, application resiliency, and security 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 ...

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. ...

managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus on two foundational ...

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. ...

such as CI/CD, Application Resiliency, and SecurityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Experience with coding assistants and development harnesses to streamline software delivery. Hands-on experience using enterprise-authorized AI-assisted software ...

required. Demonstrable interest and experience in digital finance, automation, and modern analytics tools including AI‐enhanced financial processes (including, audit, OtD, P2P and closing), machine‐learning concepts or intelligent automation frameworks. Experience with SAP S/4HANA, SAP SAC, or similar ERP/reporting tools highly beneficial — experience ...

methodologies, CI/CD, application resiliency, and security 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 ...

/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 ...

/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with coding assistants and development harnesses to streamline software delivery. Hands-on experience using enterprise-authorized AI-assisted software development tools ...

enterprise architecture, technical consulting, or technical pre-sales in Data and AI domains.Deep, hands-on technical expertise across enterprise data platforms, AI/ML, Generative AI, and agentic architectures — including Salesforce Agentforce, Data360, and the Salesforce platform.Demonstrated experience engaging C-level executives (CDO, CTO, CIO, CDAO) as a trusted technical … with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands-on familiarity with platforms like ...

science, or a similar role, ideally in a consumer subscription or digital product business. A strong grounding in data science methods - statistics, experimentation and machine learning - ideally with a postgraduate qualification in data science, statistics or a related quantitative field. Strong SQL and Python. This is core ...

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 ...

success converting ambiguous business opportunities into funded roadmaps, prioritized backlogs, and measurable business outcomes. AI & Product Leadership Strong understanding of Artificial Intelligence, Generative AI, Machine Learning, Agentic Systems, Process Automation, Knowledge Management, and Data Products, with a proven record of delivering production-grade solutions. Experience defining product strategy ...

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 ...

field.* A couple years experience with building production-grade models essential (MLOps).**Technical requirements*** Advanced graduate qualification (PhD or postdoctorate) in Machine Learning, Data Science, Statistics or Maths.* Strong Python coding experience/knowledge essential. Knowledge of git and CI/CD practices. Demonstrable proficiency with packages ...

implement security controls for protecting data pipelines, model training environments, and customer-facing AI agents Stay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks Benefits Health: Selection of employer-covered medical … around a mix of in office collaboration and remote work when needed. Finance: Company stock options, plus a 401k plan with employer contributions. Growth: Learning and development stipend and generous PTO. SF/NY/London office space: Three beautiful sunny offices in three incredibly exciting cities. A builder ...

integration/continuous delivery, Application Resiliency, and Security Demonstrated 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 ...