126 to 150 of 154 Machine Learning Jobs in Manchester

with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices for DBT–Cortex architecture and usage patterns. Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake. Build … orchestration tools (Airflow, Dagster, Prefect, etc.). Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience building semantic layers using DBT metrics. Knowledge of MLOps/DataOps best practices. ...

communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification … week in which to attend Manchester Metropolitan University. For the other 4 days you will be working in the business, applying your university learning and gaining a breadth of experience within the software function. At the end of the apprenticeship you will be working as an Algorithm engineer within ...

communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification … week in which to attend Manchester Metropolitan University. For the other 4 days you will be working in the business, applying your university learning and gaining a breadth of experience within the software function. At the end of the apprenticeship you will be working as an Algorithm engineer within ...

sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements Experience with using/configuring/debugging Linux machines and Network issues Strong understanding and experience with Kubernetes, including hands … getting the role. - We progress careers - During the project, see how much you learn. That's what working at Teleport is like. We like learning, on the job. All-the-time. - We can move fast (if you can) - two weeks sound like a long time? No problem? Early submissions ...

ideal), or similar cloud data platforms. Implement or contribute to real-time data processing frameworks (a strong bonus). Integrate data solutions with AI & ML workflows where beneficial. Apply broad engineering knowledge to support system scaling, optimisation, and performance tuning. Collaborate with cross-functional teams to understand data needs … challenge, propose, and influence. A proactive mindset, excellent critical thinking, and a collaborative approach to solving complex problems. Bonus: experience working with AI & ML integration in data pipelines. What's On Offer Salary up to £75,000 , depending on experience Hybrid working - 1/2 days in the Heald Green ...

company that values inclusion. A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth ...

company that values inclusion. A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth ...

data scientists, and other data consumers across IT and the business to optimize data availability with intention to build, refine and enhance AI/ML models and algorithms. Drives continuous improvement in data pipelines and data warehouses and partners with others to ensure both timely availability and security of data. … insurance risk analytics with cat-modelling exposure/results data familiarity (AIR/RMS) Behavioral Competencies Collaborates Communicates Effectively Customer Focus Decision Quality Nimble Learning Technical Skills Snowflake (Streams/tasks, snowpipe, performance tuning) SQL .NET (C#) API Development (REST, JSON) PowerBI Data analysis Data Modeling Data Engineering Python ...

Ship production ML and agentic AI powering market leaders worldwide Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses … Applied AI Engineer, you will own the lifecycle of the models and agents that power our product. You will build and maintain ML data pipelines, develop production-ready LLM- and agent-driven features, and work closely with backend engineers to integrate models into real systems. This is a role ...

consumers and enterprises. The company develops best-in-class solutions that analyze, optimize and monetize OTT application traffic going through the networks. With contextual machine learning-based insights and real-time actions, AppLogic Networks has become a global leader in Application Quality of Experience (QoE). As part ...

Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data … analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research teams to productionize models at scale. Present findings through clear documentation, dashboards, and reports. Requirements Kaggle Competitions Grandmaster or equivalent achievement (multiple medals or top-tier rankings). Strong experience in data science, analytics, or ML-driven ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...

Software Engineer ROKE Roke is a leading technology & engineering company with clients spanning National Security, Defence and Intelligence. National Security Business Be part of a growing and highly trusted supplier into the NS domain working ...

genuinely enhance their business operations. They are looking for someone who can collaborate closely with a multi-disciplined and distributed work function, utilise machine/deep … learning and Natural Language Processing (NLP) to integrate AI solutions into products and services. Key skills and experience required: Hands-on AI and ML Engineering experience Experience developing in Python and it’s relevant ML frameworks Experience/Knowledge of Copilot and the Microsoft Eco System e.g. Azure, M365 ...

aligned skills, ensuring the practice remains current with certification and best practice Foster an inclusive, collaborative technical community that promotes knowledge sharing and continuous learning Support hiring for senior technical roles by defining required technical competencies and participating in technical assessments where needed Provide technical oversight for the design … with Microsoft field, engineering or partner teams, including engagement on roadmap, co-sell or joint customer activity Familiarity with Azure Data, Fabric, AI/ML or Copilot/Copilot Studio capabilities and how they extend Business Applications solutions Experience developing reusable assets, accelerators, frameworks or solution patterns Contributions to knowledge ...

.NET Developer - Fastest Growing Social Media Firm - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

cloud security architecture across AWS, Azure, and GCP, with expertise in IAM, key management, data encryption, and network segmentation Skilled in securing AI/ML workloads and data pipelines, ensuring the AI systems have controlled, auditable, and principle-based access to sensitive information Experienced with hybrid architectures integrating on-premises … Develop security-by-design principles and embed them into every stage of the engineering lifecycle — from design to deployment Work closely with Technical Architects, ML Engineers, and DevOps teams to ensure end-to-end protection of data and systems Implement proactive security monitoring, incident response, and resilience strategies, protecting infrastructure ...

models and ingestion pipelines, contributing to a new data lake and a robust gold-layer architecture. You'll also have the chance to shape ML-ready pipelines and mentor more junior data engineers. What you'll be doing Building scalable data models and ingestion pipelines for a new data lake … product, engineering, and analytics stakeholders Supporting third-party data ingestion workflows Owning end-to-end delivery of production-grade data solutions Potential involvement in ML pipeline development Mentoring less experienced team members and fostering a culture of knowledge sharing Communicating clearly and effectively with diverse technical and non-technical audiences ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Since 2006 our client's ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer)In just over 5 years ...

Software Architect – Lead the Future of a High-Scale .NET Platform C#, .NET, Kafka, SQL, AWS, AI/ML, Event-Driven Systems Hybrid – North West Are you ready to design and shape the core architecture of a platform built to support global scale , rapid growth, and long-term innovation … data and business leadership. Embed performance, reliability, observability, and resilience into system design from day one. Help shape our evolving use of AI/ML for optimisation, automation, and predictive insights. What We’re Looking For Proven experience architecting distributed, high-throughput platforms in enterprise or scale-up environments. Strong ...