851 to 875 of 1,708 Machine Learning Jobs in England

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 ...

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 ...

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 ...

Professional insurance designations (CPCU, AIC, or similar) Experience with API-first architectures and system integrations Knowledge of InsurTech trends including automated underwriting, Gen AI & ML applications, and digital distribution channels Understanding of actuarial concepts and rating algorithm implementation Experience with cloud-based Insurtech solutions and SaaS/PaaS delivery models ...

managed cloud cost, budget and capacity at scale. You understand the engineering choices that drive AWS spend. You have enough exposure to AI/ML platform needs, data engineering and cloud data platforms to guide real architecture decisions. AWS Bedrock or production GenAI experience would be valuable You can operate ...

managed cloud cost, budget and capacity at scale. You understand the engineering choices that drive AWS spend. You have enough exposure to AI/ML platform needs, data engineering and cloud data platforms to guide real architecture decisions. AWS Bedrock or production GenAI experience would be valuable You can operate ...

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 ...

Demonstrated experience of leading 0 to 1 product development Experience of the B2B information industry, financial market data and analytics Experience working with data, ML and GenAI Familiarity with API and web-based data delivery systems Ability to work as part of a larger team and being willing to take ...

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 ...

systems Demonstrated ability to write clean, well-tested, maintainable code Bonus Familiarity with real-time data processing frameworks (Kafka, Redis Streams, etc.) Experience with ML/AI infrastructure or building tools for AI applications Previous work on developer tools, monitoring systems, or security tools Experience with infrastructure-as-code (Terraform ...

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 ...

experienced product manager (5+ years) who has solved complex customer-facing problems at global scale, ideally in fintech. You have experience with AI/ML-powered products - whether building conversational experiences, recommendation systems, or other AI-first features. You understand the unique challenges of shipping non-deterministic products (LLMs, evaluation ...

want to build ML models that directly drive real customer and lending decisions? Have you worked on customer prediction problems like pricing, forecasting, or segmentation? Are you ready to join a fast-paced fintech where Data Science sits at the core of the business? We’re hiring a Data Scientist … applied machine learning, owning models end to end and working closely with Product and business stakeholders. Key Responsibilities Build and deploy production ML models used in live decision-making Work on customer prediction problems including pricing, forecasting, and segmentation Develop models using Python and SQL on large-scale ...