501 to 525 of 1,111 Machine Learning Jobs in England

with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI-driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problemssuch as predictive maintenance or autonomous ISTARensuring they are fit for purpose ...

agile product delivery and product management frameworks. Understanding of UK regulatory requirements (GDPR, FCA, PRA). Experience in agile methodology (Scrum). Experience with machine learning, AI or advanced analytics products. Background in data governance, metadata management or data quality frameworks. Prior experience in digital transformation or modernisation ...

Candidates should have a Master's degree in computer science or engineering, strong programming skills in Python, Java, C++, and expertise in AI/ML systems. A background in financial markets, especially fixed income and derivatives, is crucial. #J-18808-Ljbffr ...

leading analytics company in London is seeking a Senior Principal Data Scientist to provide technical leadership in advanced analytics and machine learning. This role involves mentoring fellow data scientists and collaborating with cross-functional teams to deliver data-driven solutions, with a focus on the aviation sector. Ideal candidates ...

Senior AI Engineer to ensure the quality of AI outputs and design cutting-edge solutions. This role requires a proven record in delivering impactful ML/AI solutions and deep expertise in Python and modern frameworks like PyTorch and TensorFlow. The ideal candidate possesses strong communication skills and adaptability ...

production solutions) Experience building on Azure data/AI stack Hands‐on experience with Azure AI Foundry (must have) Proven delivery of AI/ML/GenAI solutions (not just POCs) Good grounding in data architecture Experience with: Microsoft stack (Fabric, SQL, low‐code environments) Data governance (e.g. Purview) Microsoft ...

product focused data science or analytics role. * Hands on experience with NLP, semantic analysis, or large scale text data. * Experience working on AI or ML driven products in a B2B SaaS or scale up environment. * A pragmatic, impact focused mindset with confidence owning problems end to end. ...

optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative ...

Scientists who have experience across: Large Language Models (LLMs) Agentic AI systems Chatbot platforms NLP and generative AI AI product development Python and modern ML tooling Experience deploying AI products into production environments would be highly beneficial. If interested, please apply or send your CV across for more information. ...

standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry ...

Grafana, Kibana) Strong problem-solving skills and ability to work independently Excellent communication and stakeholder engagement skills Exposure to Databricks Apps or AI/ML workloads (nice to have) If you have previously led migrations to Unity Catalogue and you're interested in this role, click 'apply now' to forward ...

junior team members Desirable for both: PySpark/Python in Fabric Notebooks, Azure Data Factory/Synapse/Data Lake, Power BI, AI/ML exposure, DP-600 or DP-203 certifications. With two roles live and this level of investment in Fabric and Dynamics 365 rarely on the market ...

expertise in global pharma, biopharma, or large-scale manufacturing/supply chain. Strong technical fluency: data engineering & pipelines, cloud platforms, data science & AI/ML product delivery, MLOps/DataOps principles. Skilled at influencing product direction across cross‐functional, multi-region teams. A strategic thinker capable of shaping long-term ...

/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ecosystems ...

empower you to push the boundaries of what’s possible. Job Summary As an AI Engineering Director within LLM Suite engineering, AI/ML & Data Platforms team at JPMorganChase, you will lead a group of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with ...

Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid ...

qualifications, capabilities, and skills Experience in roadmap creation and execution, aligning and leading business operations to strategic organizational goals Strong understanding of AI/ML technologies and their application in data management/governance Understanding of control and risk management concepts Strong product management and project management skills Equal Employment ...

accelerators, and reusable frameworks as the CoE scales What We’re Looking For Minimum 3 years’ experience building and deploying Generative AI or applied ML systems Strong hands-on engineering background – you actively code, build, test, and deploy Experience with: RAG architectures and vector databases Hugging Face models, pipelines ...

cloud platforms (AWS, Azure) and modern infrastructure (e.g., containers, Kubernetes, CI/CD pipelines). Experience with MLOps/LLMOps or supporting AI/ML systems in production environments. Solid understanding of security, governance, and cost management within cloud-based platforms. Experience working in financial services or a regulated environment ...

auditability, or regulated environments. Experience integrating LLMs with external tools, APIs, databases, code execution environments, or analytical engines. Desirable: publications (at main NLP/ML/AI conferences ...

expansion, and revenue outcomes, and monetizing new capabilities Solid understanding of AI technologies and experience working with or leading products that incorporate AI/ML, GenAI, automation, and data/insights Commercial go-to-market experience translating product strategy into revenue growth, retention improvement, and expansion Ability to engage credibly ...

thresholds. Combine metrics, logs, and traces to enable root cause analysis and reduce Mean Time to Resolution (MTTR). Knowledge of AIOps or ML-based anomaly detection for proactive reliability management. Collaboration Work closely with development teams to integrate reliability into application design and deployment Promote a culture of shared ...

customer-first delivery). Ensure solutions are scalable, secure, and compliant with regulatory requirements within clinical research. Evaluate and integrate digital health, AI/ML, and emerging technologies to enhance clinical trial and delivery and patient experience. Continuously evaluate market trends, competitive landscape, and technology trends to ensure Fortrea maintains ...

benefit: Image Processing Algorithms : Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms : Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain …/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play ...

Applied Scientist II for their Alexa for Shopping Science team in Greater London. The role involves developing conversational AI systems powered by advanced machine learning and NLP techniques to enhance shopping experiences. Candidates should hold a PhD or Master's in a related field and have experience … deep learning, programming, and data mining. The team emphasizes scientific rigor and innovation to improve AI capabilities at scale. #J-18808-Ljbffr ...