126 to 150 of 195 Machine Learning Jobs in Manchester

consumer goods Familiarity with Dataform, dbt or equivalent transformation frameworks Experience with data cataloguing or governance tooling (Collibra, Alation, DataHub or equivalent) Exposure to ML/AI platform requirements — understanding what good data foundations look like to enable data science and personalisation What’s in it for me? Access bespoke ...

site. Engineering platforms, databases, and data pipelines as part of broader delivery solutions. Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc. Writing or supporting software solutions that implement data science models, tools, and techniques. About the role … interrogate data. Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding. Use data science techniques, including ML/AI, to design and build solutions to customer problems, and work with software developers, data engineers and testers to implement and assure them. Work with ...

will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework SW, kernel/user space driver stack, real time embedded software, test automation, and performance evaluation. As an experienced engineer you are expected to be able to take the lead … larger work-packages and mentor more junior engineers. You will also be working closely with the ML HW team to achieve optimal system partitioning. We are looking for you who have strong analytical skills, the eagerness to find innovative solutions to sophisticated problems, and are comfortable working in a fast ...

Adria Solutions Ltd. in Manchester is seeking an AI Implementation Engineer to lead production AI delivery, bridging data science with enterprise infrastructure and business outcomes. This hybrid role combines hands-on development with strategic leadership. ...

MAG (Airports Group) is hiring a Lead Data Engineer to shape Cavu's data platform. You will lead a team of Data Engineers while building scalable, cloud-based data pipelines and supporting analytics, forecasting and ...

Role Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. Work closely with client teams on the ground to embed solutions directly into operations. Guide multi‐disciplinary teams ...

while working on varied and meaningful technology change. You will work across a broad data landscape, including operational data, analytical data, insight, AI and machine-learning enabled opportunities. You will play a key role in change connected to reform, digital exams and future-facing data capability. You will ...

Whole platform domain exposure including FIN/HCM/Payroll/Security —e.g., approvals, exceptions, vendor onboarding, expense governance, journals, controls, agentic AI and machine learning, lifecycle. Experience in AI product development. Familiarity with Workday BIRT, Workday Reporting (advanced), Time Tracking. Scripting experience (e.g., JavaScript/TypeScript, Python ...

forecast, model serving, and data processing services, mentor senior engineers, and collaborate with product and data science partners to deliver scalable, production‐grade ML capabilities. #J-18808-Ljbffr ...

systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions click apply for full job details ...

will own the data engineering strategy and roadmap, mentor engineers, and collaborate with Security, Cloud, Architecture and Product teams while advancing AI/ML data foundations in a hybrid work setting. #J-18808-Ljbffr ...

design and run end-to-end benchmarking workflows, build scalable evaluation pipelines and translate findings into actionable insights. You will review literature, deploy ML workloads to cloud platforms, and contribute to production-grade experimentation infrastructure while supporting client demos and strategic technical direction. The role requires hands-on data science ...

seeking an AI Security Engineering Lead to design and deliver secure engineering patterns, controls, and tooling for our AI/ML systems. This hands-on technical leadership role combines coding, automation, and platform design with mentoring across cross-functional teams. You will champion secure architectures, embed DevSecOps practices, and guide ...

hours/week) or via flexible contract options, contributing to cutting-edge AI projects. Ideal applicants have strong software engineering or AI/ML backgrounds and the ability to work independently in a remote setup. Experience with Python, C++, Java, and other modern languages is a plus. #J-18808-Ljbffr ...

Data Scientist/AI Engineer for a permanent, on-site role. You will work on a portfolio of public and private sector projects, applying ML, GenAI, NLP and related technologies. You will lead client engagements, define solutions, communicate value, and guide delivery teams, with opportunities to publish whitepapers and present ...

powered results, focusing on Generative and Agentic technologies. The ideal candidate has experience in consulting, full-stack development, and a strong foundation in machine learning. This position offers flexibility, a supportive team environment, and the opportunity to impact real-world applications as part of a diverse organization. #J ...

into real, scalable business impact. This is not a research role; it’s about turning AI into real‐world value. You’ll consolidate existing ML and AI Ops teams under one function, shaping how the organisation delivers, governs, and scales AI, including generative and agentic technologies, end‐to‐end. Skills ...

growth through ISV platform expansion: new trust deployments, workload migrations from on-prem/competing cloud, and upsell of AWS-native services (AI/ML, analytics, security)3/Work across health tech AWS and NHS regional account managers to design and execute joint business plans with each ISV — aligning ...

projects. Although not a requirement, helpful experience includes: An interest in working with data at scale using tools like dbt, Spark, and AI/ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)Experience with Kafka or other event-driven architectures. During our application process, you will be asked two questions ...

seeking a Data Scientist to turn business questions into predictive models and data-driven insights. You will clean and explore large datasets, build machine-learning solutions, and collaborate with engineering to deploy models into production. The role sits in a fast-growing data science team ...

Treefera in the United Kingdom is seeking a Machine Learning Scientist to develop models that analyze satellite and radar data within global commodity supply chains. You'll engage in building lightweight models for tasks like commodity mapping and biomass estimation. The role emphasizes collaboration with cross-functional teams ...

Head of Data Science to lead a growing team of 6+ scientists. This role involves setting the technical direction and driving the transition towards machine … learning engineering, aligning with company-wide objectives. The ideal candidate will have proven leadership experience and a strong background in building and deploying ML models at scale. This is a fantastic opportunity to shape the data science strategy and support career growth within the team. #J-18808-Ljbffr ...

also anchors Omnicell's forward investment in AI‐driven operations. Over the course of the first year, the organization intends to incorporate AIOps and ML‐assisted observability — anomaly detection, intelligent alert correlation, LLM‐assisted runbook generation — into how we monitor and respond to our platform. You will be the technical … LitmusChaos, or equivalent). Validate that what we think is resilient actually is. AI‐driven operations Architect Omnicell's AIOps direction: evaluate and introduce ML‐based anomaly detection, predictive alerting, automated root cause analysis, and LLM‐assisted runbook or triage pipelines. Make informed build‐versus‐buy calls across the AIOps ...

Bank of New York Mellon Corporation in Manchester is seeking a Vice President, AI/Machine Learning Data Engineer to design and deliver AI-powered data solutions for enterprise problems. You will drive problem formulation, model selection, and system integration across data platforms, collaborating with platform, data ...

Hippo is a fast-growing digital consultancy delivering transformative digital solutions for public and private clients. We seek a Senior Data Science Engineer to lead data science initiatives, mentor staff, and deliver secure, scalable data ...