601 to 625 of 1,310 Machine Learning Jobs in England

scalability are essential Technology Environment The engineering stack includes: Python C++ Linux Distributed Systems Cloud Infrastructure Data Platforms Market Data Technologies Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering. Required Qualifications ...

with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial ...

Automation Development Research and evaluate emerging AI technologies and tools. Design and implement AI-driven solutions to improve business operations. Develop workflows using AI, machine learning, automation platforms, and low-code/no-code tools. Identify repetitive tasks and create automated solutions to reduce manual effort. Software & Application ...

Automation Development Research and evaluate emerging AI technologies and tools. Design and implement AI-driven solutions to improve business operations. Develop workflows using AI, machine learning, automation platforms, and low-code/no-code tools. Identify repetitive tasks and create automated solutions to reduce manual effort. Software & Application ...

predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex ...

Master’s degree 3+ years of experience leading operational or program-focused teams Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment Good understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection Demonstrable experience ...

understanding how to sequence roadmaps across upstream and downstream dependencies while maintaining a coherent platform architecture for distinct buyer personas. Deep technical fluency in machine learning lifecycles, computer vision, data labeling pipelines, and edge‐AI computing. You will be expected to work within technical constraints, grounding product decisions ...

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 problems—such as predictive maintenance or autonomous ISTAR—ensuring they ...

authentication, decentralized identity frameworks, and adaptive access controls. Collaborate with the Senior Architect Information Security and lead the implementation of identity governance automation, leveraging machine learning for anomaly detection and remediation. Ensure seamless integration of multi-factor authentication (MFA) with biometric and mobile device capabilities to improve both ...

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 ...

development performance management. Hands-on experience with BI tools or modern analytics platforms (for example Power BI, Tableau or Spotfire). Exposure to AI, machine learning, or predictive analytics applied to operational decision-making. A track record of scaling digital products across complex, matrixed organizations . Demonstrated commitment ...

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 ...

/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub, Kafka AI/ML We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will ...

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 ...