801 to 825 of 1,653 Machine Learning Jobs in England

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 ...

developing Python packages with appropriate documentation and test suites. Proven track record of developing robust Continuous Integration and Continuous Development pipelines. Strong background in Machine Learning and Statistics, ideally in the Banking/Finance industry. Experience with RDBMS and other types of database management systems. The ability ...

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 ...

customers use to operationalize spatial data. Strong knowledge of cloud platforms, security architecture, and authentication technologies (e.g., AWS, SAML, OAuth). Working understanding of machine learning and AI concepts as applied to data-driven products. Willingness and ability to travel as business needs require. In addition to requirement ...

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 ...

Analysts, and commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. ...

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 ...

contribute to peer code reviews You’ll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability ...

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 ...