751 to 775 of 1,368 Permanent Machine Learning Jobs

unstructured data * Data ingest, transformation and persistence technologies * Agile delivery & CI/CD environments * Stakeholder engagement across technical and non-technical teams * AI/ML data applications Experience within Defence/National Security environments Skills and experience: * Experience within Defence, National Security or Public Sector environments * DDIL/constrained environments ...

most value. What They're Looking For Science or Engineering degree from a leading university Hands-on experience applying AI/ML in financial markets, trading, or investment research Familiarity with time series analysis and financial data Full-stack proficiency: Python (backend) and React JS (frontend) Experience with LLM inference ...

safety, reliability, and interpretability are built into everything you deliver. What were looking for Were looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands ...

Engineer to join a specialist team tackling some of the most challenging problems in modern technology spanning across cloud, security, automation, and AI/ML operations. You'll operate at the intersection of cloud engineering, cyber security, and reliability , working on problems such as: Securely updating deployed systems in sensitive ...

senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. You will take ownership of the organisation’s modern data architecture roadmap, designing secure, scalable, and high-performing ...

across Europe (EMEA exposure essential) Ability to engage both technical and business stakeholders Excellent presentation and communication skills Highly Desirable: Exposure to AI/ML/data-driven platforms in financial services Knowledge of cloud architectures (AWS, Azure, GCP) Experience with modernisation/core transformation programmes Fluency in an additional ...

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 ...

distributed teams across UK and US time zones Important Context The client has already screened a number of candidates with strong theoretical or traditional ML/data science backgrounds who lacked depth in production-grade GenAI delivery. This role requires candidates with genuine hands-on experience implementing enterprise AI systems ...

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. ...

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 ...

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 ...