751 to 775 of 6,467 Machine Learning Jobs in the UK

related field. Experience in technology delivering software or data solutions, including hands-on work on at least two GenAI or AI/ML projects (with ~1 year of GenAI experience). Hands-on experience with LLMs (OpenAI, Anthropic, Google, or open-weight models like Llama/Mistral) and orchestration frameworks … sensitive data. Good communication skills, able to explain technical work clearly. The following will be an advantage; Exposure to GenAI or AI/ML solutions in insurance or financial services. Familiarity with insurance document workflows (ACORD forms, loss runs, policy documents). Experience contributing to solutions moving from proof ...

language of business leaders and connect operational bottlenecks to strategic AI solutions. Software/Data Engineering: Python proficiency, API design, SQL, data integration, and ML/AI libraries (PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Transformers). Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration … tool use/function calling, RAG, agents, prompt engineering, or agentic patterns for enterprise workflows. Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/LLMOps, and lifecycle management across cloud services (AWS Bedrock, Azure AI, GCP Vertex AI). AI Architecture & Security: Understanding of cloud reference architectures, identity ...

will play a leading technical role in the design, development and deployment of AI solutions across the organisation. You will combine software engineering, machine learning and AI platform expertise to turn innovative concepts into production-ready products that deliver measurable business value.This is a hands-on engineering role … Engineering, Operations and Product organisations.# ## **WHAT YOU'LL BRING:**Essential Experience* Extensive software engineering experience delivering production-scale solutions.* Experience building AI or machine learning systems in enterprise environments.* Demonstrated experience moving AI solutions from proof-of-concept into production.* Strong understanding of software architecture, engineering standards ...

production-ready code. Design and develop backend services, APIs, data pipelines and integrations. Build AI systems, including solutions using Large Language Models and machine learning. Review code and technical designs Apply software engineering best practice including Git, Docker, CI/CD and cloud deployment. Defence and Domain Expertise: Rapidly … data engineering pipelines. Experience of using cloud platforms such as AWS or Azure, Docker, Git and CI/CD. Experience of designing or developing machine learning and AI systems, including Large Language Models. Experience of completing code and technical design reviews and applying software engineering best practices. Extensive ...

Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software …/CD pipelines. Experience writing clean, efficient, and modular code suitable for production environments. Desirable Skills or Knowledge Familiarity with AMO physics or quantum machine learning. Experience with MLOps best practices. Knowledge of systems like Apache Kafka, MQTT or real-time data pipelines. Experience with cloud platforms (AWS, Azure ...

Platform working against their real data and workloads, not slideware. Meet technical buyers on their own ground across modern data engineering (Spark, Delta, streaming), machine learning, and Generative AI, and integrate cleanly with their existing cloud and open-source stack. Move at start-up speed: qualify quickly, prove … Java, and a willingness to learn (or existing knowledge of) Spark. Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine-tuning, LLMOps). Experience with the modern data stack and open-source data tooling, and with ...

Palantir Foundry and AIP . You will play a key role in designing, developing, and optimizing scalable data solutions, enabling advanced analytics, AI/ML initiatives, and business-critical decision-making. Working alongside data architects, product teams, and business stakeholders, you will help deliver enterprise-grade data products that drive … integrations using TypeScript , Python , and PySpark . Collaborate with business and technical stakeholders to translate requirements into scalable data solutions. Integrate AI/ML capabilities into data workflows and support the deployment of intelligent applications using Foundry AIP. Implement best practices for data quality, governance, security, and performance optimization. Contribute ...

Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Data Integration, Transformation and Quality: Establish the strategic approach for data integration, transformation … Cyber Analytics team. You will need Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases. Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns ...

pricing or quoting mechanisms, more efficient algorithms to measure and optimally hedge the bank’s risk, automation of manual tasks with AI/ML etc. Client and Control Strats is responsible for developing and implementing models, data capabilities, platforms and processes that address revenue and cost optimisation, capital efficiency … will test innovative algorithms and feature designs that enhance the detection of unusual client or trader behaviours. This may include applying AI/ML techniques, particularly in graph analytics, entity recognition and anomaly detection. The role will require you to understand the risks these models are designed to address ...

contributions are valued with a focus on achievable improvements that get used every day. We'll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale … Need to Have:7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity.5+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent ...

related field. Experience in technology delivering software or data solutions, including hands‐on work on at least two GenAI or AI/ML projects (with ~1 year of GenAI experience). Hands‐on experience with LLMs (OpenAI, Anthropic, Google, or open‐weight models like Llama/Mistral) and orchestration frameworks … sensitive data. Good communication skills, able to explain technical work clearly. The following will be an advantage; Exposure to GenAI or AI/ML solutions in insurance or financial services. Familiarity with insurance document workflows (ACORD forms, loss runs, policy documents). Experience contributing to solutions moving from proof ...

Data & AI frameworks and methodologies to grow our practice and ensure scalable, repeatable delivery. Mentor and support junior consultants, fostering a culture of continuous learning and development. What experience you'll bring: Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field. … experience in data consulting, data strategy, or a related role. Deep understanding of trends in data governance, data platforms, cloud technologies, AI/ML, and analyticsExperience of leading and delivering Data & AI projects. Strong problem-solving skills and the ability to think strategically. Ability to work independently and as part ...

executive stakeholders and non-technical peers. Enabling Innovation: Designing usable data models and building reliable foundations that empower advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximize performance, reduce latency, and optimize cloud costs across AWS, Azure, or Google Cloud. … benefit. Health & Wellness: Medicash Health Cash Plans, Employee Assistance Programme, and Group Sickness Cover. Flexible Working: Hybrid working championed with home office setup budget. Learning & Development: Access to Udemy Business and a dedicated learning budget. Lifestyle Perks: Cycle to Work Scheme, gym and retail discounts. Family First: Enhanced ...

Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also … architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish ...

About Atom Learning We're Atom Learning and our mission is to help every child reach their potential. We combine exceptional teacher-made content with technology, data science and machine learning to make high-quality, personalised education more accessible. Our aim is to give every child … access to the kind of insight, support and individualised learning that was once largely limited to expensive private education and tutoring. We're one of Europe's fastest-growing EdTech companies. Since 2018 we've grown from a startup of four friends to over 100 people, with specialists across ...

trusted sourcing. Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps. Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data … . Secure AI‐related secrets, tokens, and API access used in pipelines and applications. Monitor and respond to security risks introduced by AI/ML components, including third‐party models and APIs. Contribute to AI risk governance, auditability, and traceability across the SDLC. Stay current on emerging AI security threats ...

skills with experience working within multidisciplinary teams. Desirable skills and experience Experience processing/analysing Earth Observation or remote sensing data. Exposure to AI, Machine Learning or GeoAI applied to spatial data. Experience with raster processing, vector tiling or spatial ETL workflows. Experience working with Geographic Foundation Models … GeoFMs), large geospatial AI models or multimodal spatial machine learning would be advantageous. Experience working within consultancy environments and engaging directly with clients. Familiarity with CI/CD pipelines using Jenkins, GitHub Actions or Terraform. Understanding of the Government Digital Service Standard and Technology Code of Practice. Senior ...

acquisition methods, each with different freshness, completeness and reliability, and it changes constantly. It serves both live customer products and our AI and ML workloads. That data platform is the company. The hard part is making that trustworthy: resolving inconsistent records into reliable property, address, listing and agent entities, keeping … work independently and safely. Share what you know through documentation, code review and hands-on work with our data, software and AI/ML engineers. Work closely with data scientists, product teams and senior leaders to translate business priorities into high-performance data pipelines and platform capabilities that deliver measurable ...

diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance … with Golang is advantageous. Experience using Apache Kafka is a big plus. About Business Unit IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action ...

trusted sourcing. Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps. Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data … . Secure AI-related secrets, tokens, and API access used in pipelines and applications. Monitor and respond to security risks introduced by AI/ML components, including third-party models and APIs. Contribute to AI risk governance, auditability, and traceability across the SDLC. Stay current on emerging AI security threats ...

pros, cons, and risks of what's in place versus what's proposed. Design end‐to‐end solution architectures spanning application, data, AI/ML, and DevOps concerns, and document them clearly enough for both engineers and executives to act on. Present and defend architecture recommendations to client stakeholders, including … platform trade‐offs. Strong grounding across at least two of the following: application architecture, systems/infrastructure design, data architecture, AI/ML solutioning, and DevOps. Comfort learning a new domain or stack quickly (just‐in‐time), with enough hands‐on ability to validate an approach yourself rather than ...

methods alongside experience working with foundation models and prompt engineering Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices An understanding ...

objectives. This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. … systems, offering the chance to deliver real-world outcomes at scale. Key Responsibilities Designing, developing and optimising machine learning models across traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM solutions Leading experimentation cycles, including hypothesis definition, experimental design, evaluation and iteration, while complying with ...

technical platform capabilities across the product lifecycle. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready to contribute to vital ...