426 to 450 of 5,425 Machine Learning Jobs in the UK

Robert Walters is exclusively partnering with Connect Managed Services to recruit a Machine Learning Engineer to help design, deploy and scale the next generation of Conversational AI and data analytics platforms. This is a hands-on engineering position sitting at the intersection of Machine Learning, Generative …/or Podman . Practical cloud experience across one or more of AWS, Azure or GCP , ideally using services such as SageMaker, Azure ML or Vertex AI. Experience with CI/CD and MLOps tooling such as GitLab CI, GitHub Actions, Jenkins, Kubeflow or MLflow . Exposure to accelerating Python ...

agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production ...

agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production ...

leadership on architecture decisions, system design, technology selection, and engineering standards across multiple initiatives.* Mentor and develop engineers in engineering, system design, AI/ML technologies, and modern development practices.* Evaluate emerging technologies and recommend adoption where they improve product capability, engineering efficiency, or client experience.* Foster a culture … automated testing, observability, and secure software development.* Strong programming skills in Python, with familiarity in C++, C#, or similar languages.* Experience with AI/ML technologies and hands-on knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or similar Generative AI technologies is highly ...

Applied AI Machine Learning VP (Fraud Modelling) in the ICB Risk Modelling team, you will play a crucial role in developing and managing machine learning models used to mitigate fraud risk within ICB. You will work with multiple partner teams—including Strategy, Technology, Product Management, Legal … concepts and results to both technical and business audiences. Team player. Preferred Qualifications, Capabilities, and Skills Experience with identity verification fraud models. Experience with ML model explainability. Experience with model risk management frameworks. #J-18808-Ljbffr ...

investment in AI, including Azure AI Foundry and other Microsoft AI technologies. This isnt an AI Engineering role and you dont need deep ML experience. Practical exposure is enough to start the conversation - perhaps using Copilot or another LLM to support development, validate code, improve documentation, investigate problems or experiment ...

containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high‐quality work and driving forward best ...

solutions typically at the edge. The Defence domain represents many unique and cutting-edge challenges for software which needs to utilise the best in ML and edge compute to optimise operation on deployed equipment. Roke also utilised to the best in DevOps automation to drive faster capability deployment and uplift ...

resiliency, and security Overall knowledge of the Software Development Life Cycle Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ...

however candidates must be within commutable distance of the London office for occasional onsite visits). This is a highly hands‐on, AI/ML-enabled engineering position focused on building the platforms and automation that power modern software and AI workloads across the firm. The successful candidate must ...

integration strategies align with internal APIs, data lakes, and cloud-based platforms (AWS, Azure, GCP). Continuously grow and develop skills across AI/ML and GenAI and increase business acumen Support client onboarding, vendor integrations, and managed service engagements by providing technical specifications and solution architecture for data flows. ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts , including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering ...

Springboot, or Python and modern application development.* Experience with microservices, APIs, CI/CD, and Agile development.* Experience working with or integrating AI/ML services.LLM integrations, AI-powered API* Working knowledge of AWS cloud services and cloud‐native architectures* Financial services or asset management experience preferred* Bachelors/Masters ...

Python and/or PySpark Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced ...

enterprise customers Comfort engaging CTO-level stakeholders as a technical peer, translating complex cross-domain technical work into strategic recommendations Familiarity with AI/ML services and practical experience using AI-assisted tooling to accelerate technical reviews, discovery, or operational analysis Professional oral and written communication skills, presenting ...

analysts and data scientists to ensure that high-quality, well‐modelled data is available for analytics and future AI use cases. Assist with productionising ML pipelines where needed, ensuring they run reliably within Databricks. Support feature engineering and experiment environments as part of the wider platform. Work cross‐functionally with ...

emerging AI technologies and drive adoption where they create measurable customer and business value. Establish engineering standards, patterns and reusable components for AI and ML solutions. Own the end-to-end AI delivery lifecycle from experimentation and prototyping through to production deployment and monitoring. Drive industrialisation of AI capabilities using … including orchestration, automation, performance, evaluation and operations. Collaborate across Product, Architecture, Engineering, Data Science and business teams to translate outcomes into scalable AI/ML solutions and influence senior stakeholders. Ensure AI solutions meet Responsible AI, model risk, governance, explainability, fairness, monitoring, auditability, security and compliance requirements throughout the lifecycle. ...

within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims, finance), ensuring ...

default. Nice to have: Previous experience in fintech Experience re‐architecting a data platform from the ground up Experience building and training AI/ML models Databricks Certified Data Engineer Professional (or equivalent) Proficiency in building streaming data processing systems Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP) What ...

function, informing risk assessment, audit planning, and continuous monitoring activities. + Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation).* **Support Broader Audit Delivery** + Embed IT risk considerations within business and operational audits (e.g. underwriting, claims, finance), ensuring ...

help lead the design, development, and maintenance of high-quality software solutions Consume and extend our internal machine learning library to surface ML functionality to users through the backend Design and build the scalable, high-performance backend services and APIs that deliver functionality to users, applying security best … similar async Python frameworks) Strong working knowledge of modern machine learning — able to understand, integrate, and extend the functionality of an ML library (NumPy, SciPy, Pandas, and frameworks such as scikit-learn or PyTorch) Understanding of core ML concepts — model training, evaluation, and production trade-offs — enough ...

expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … years of software engineering experience, including significant experience designing, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong ...

this role, you can expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, andoperateproductionAI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … 12+ years of software engineering experience, including significantexperiencedesigning, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strongproficiencyin Python anda track recordof developing maintainable, well-tested production software. Strong SQL skills and experience working with ...

expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … years of software engineering experience, including significant experience designing, building, and operating complex production systems. 4+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong ...

demand than we can serve, and are looking for exceptional people to take ownership from day one. About The Role As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state‐of‐the‐art models to automate various real world problems in sectors … RAG. Have at least a high level familiarity with the architecture and operation of large language models. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem‐solving and analytical skills ...