851 to 875 of 1,526 Machine Learning Jobs

similar technologies is highly desirable Experience working within the Banking and Financial Services industry Relevant cloud certifications, particularly Google Cloud Platform Exposure to ML, AI, and data tooling within GCP environments Ability to work effectively across IT, DevOps, and Compliance teams to implement security controls Experience working in agile ...

derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow and exotic products in one or more asset classes Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development ...

orchestration frameworks, following CI/CD best practice s. Core skills & experie nceStrong grounding in Operational Research/Optimisation, rather than purely statistical or ML-heavy data scien ce.Hands-on experience with mathematical optimisation (e.g. LP, MILP, heuristic s).Proficiency in Python for analytical and optimisation modelli ng.Experience translating ambiguous ...

based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required Due to the nature of the clients' work, you will either already hold ...

maintain legacy. Reports to the Operations Director with fractional CTO advisory support. Clear progression as the platform matures into data migration, AI/ML automation and client-facing services. Remote-first, UK-based. Occasional travel to London HQ and acquisition sites. Judged on delivery. ...

with large imaging and time series datasets Exposure to healthcare, clinical, or regulated data environments Familiarity with data anonymization or pseudonymization techniques Experience supporting ML/AI data preparation workflows DevOps experience (CI/CD pipelines, containerization) Deliverables and Expectations Scalable and reliable data ingestion and management capabilities Well documented ...

operational performance. What you will bring to the role: Strong experience delivering complex digital or AI programmes, with a solid understanding of AI/ML, cloud platforms (AWS or Azure), and modern engineering practices. Proven ability to lead cross-functional teams. Commercial mindset, with the ability to connect technical solutions ...

team of engineers remotely, challenged architectural decisions, and driven the right practices for the team. Full-stack data experience at scale : Ingestion, ML/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack. Google Cloud hands-on experience: BigQuery, Analytics ...

services, and workflows (e.g., DI, editing, visual/audio effects, encoding, on-set support) Understand the security considerations of systems that leverage AI/ML, including generative AI Experience working with or assessing media specific systems and content protection solutions (DRM, watermarking, encryption, streaming protocols, etc.) JOB RELATED EDUCATION Bachelor ...

EKS. Preferred Qualifications: Keen interest in staying ahead of modern development trends and experimenting with emerging technologies such as AI and Machine Learning. Hands-on experience with Microservices, Data usage patterns, and Event-Driven Architecture (EDA). Knowledge of cloud architecture and ability to capture and share best-practice ...

scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution ...

scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution ...

scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution ...

modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation. Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks. ...

modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation. Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks. ...

modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation. Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks. ...

being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides. Unlimited Pluralsight video learning access Access to Microsofts ESI training suite Hybrid working with no core hours Substantial support for career progression 25 days annual leave moving ...

want to build ML models that directly drive real customer and lending decisions? Have you worked on customer prediction problems like pricing, forecasting, or segmentation? Are you ready to join a fast-paced fintech where Data Science sits at the core of the business? We’re hiring a Data Scientist … applied machine learning, owning models end to end and working closely with Product and business stakeholders. Key Responsibilities Build and deploy production ML models used in live decision-making Work on customer prediction problems including pricing, forecasting, and segmentation Develop models using Python and SQL on large-scale ...

across multiple projects simultaneously and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware, sensors, and complex systems Rapidly learning and applying new technologies, tools, and approaches Contributing to problem-solving throughout the entire development lifecycle Supporting software used to control hardware platforms, custom … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, optimisation, statistics, or algorithm development Experience developing mobile applications (iOS or Android) Suitable for both ...

sure you get the most out of your time with us by embedding you in some of our key projects for some hands-on learning as you embark on your training on a four-year Data Science apprenticeship at the University of Nottingham. Data Science is an exciting … opportunity for you to learn from the very best. During the Data Science Apprenticeship programme - you will: Spend time with our data scientists, learning from them and helping to build our current analytical tools Contribute to our data strategy Learn about what Datagum does and contribute to our future ...

applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. … Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding ...

applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. … Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding ...

applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. … Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding ...

looking for a hands-on Data Engineer to join their highly technical team. This is an exceptional opportunity to work on cutting-edge machine learning and real-time optimisation products used by clients processing millions of customer interactions per day. You’ll join a small, elite engineering group ...

such as cache sharing, data locality, and cluster scheduling Prototype and evaluate next-generation inference architectures Research & Innovation Contribute to cutting-edge systems and ML research Publish at leading conferences and drive internal adoption of new approaches Collaboration Work closely with global research and engineering teams Communicate technical findings … optimisation tools Solid understanding of distributed algorithms Nice to Have PhD in systems, distributed computing, or AI infrastructure Publications in top-tier systems or ML conferences Experience with load balancing, fault tolerance, and resource scheduling Background in large-scale cloud or AI infrastructure environments Why Apply? Work on cutting-edge ...