826 to 850 of 4,924 Machine Learning Jobs in England

professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within energy ...

experience, preferably AWS, and familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...

professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within energy ...

Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular). Experience with ...

strong emphasis on Azure-based data solutions. * Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric. * Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions. * Strong ...

scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published … such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Master’s degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. Experience ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. Experience ...

running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring ...

Desirable skills/knowledge/experience: (As applicable) Research experience in areas such as: Power System Operation Renewable Integration Power System Stability AI/ML Applications in Power Systems Knowledge of IEC standards, CIM (IEC 61970/61968), or utility data models. Exposure to utility, TSO, DSO, ISO, or control ...

future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design … functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models ...

building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In Return Fletchers Offers Bonus scheme (subject to targets being met) 35 days holiday a year including bank holidays ...

cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. ...

Software team at CoMind spans the full stack of a regulated medical device company — from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that ...

operational data according to sensitivity and security requirements. Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements Capable of finding a balance between best ...

approach to solving customer problems. Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time. Exposure to domains such as CDP/Martech, customer data architectures ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

product leadership for data-heavy platforms or analytics products, with a solid understanding of data governance and pipeline design.* Strong understanding of AI/ML feature productization, including how AI capabilities are evaluated, explained, and integrated, along with familiarity with AI connectors.* Proven ability to manage roadmap tradeoffs and deliver ...

requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts. Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an exceptional engineering team. Identify skill gaps in emerging tech model context protocol (MCP), tool-calling ...

frameworks: MITRE ATT&CK, MITRE Engage, MITRE D3FEND, and the cyber kill chain Experience leveraging Agentic AI, Microsoft Security Copilot, or AI/ML in security operations (detection, hunting, IR, automation). Proven experience designing and operating enterprise cyber deception programmes (honeypots, honeytokens, decoy users, decoy devices, breadcrumbs) at scale. ...

Copilot for Security. Microsoft Graph, Python, Logic Apps, Azure Functions, policy-as-code, infrastructure-as-code or advanced workflow automation. Experience using AI/ML or Agentic AI within security or identity operations. Application registration, managed identity, service principal, workload identity, and secrets or certificate lifecycle governance. Active Directory security ...

techniques. Monitoring and metrics infrastructure (OTEL, Prometheus, Grafana). Cloud (AWS/GCP/Azure/Private DC). Bonus: Experience with AI/ML, Natural Language Technologies you’ll work with: Programming languages: GoLang, Java11, Kotlin, Rust, Python Storage & Persistence: S3, NFS Container and Orchestration: Kubernetes/Containers (Docker ...

have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real‐time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What’s it like to work at Zego? Joining Zego is a career‐defining move. People go further here, reaching their ...

bonus if you have: Python skills for data manipulation or automation Experience using LLMs/AI models inside a data warehouse (e.g. BigQuery ML/Gemini, Snowflake Cortex or similar) Experience modelling CRM and lifecycle data (e.g. Klaviyo, HubSpot) or working with reverse‐ETL tools (e.g. Hightouch, Census) Web analytics ...

Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful ...