126 to 150 of 200 Machine Learning Jobs in Manchester

MATLAB for data analysis and modeling. • Experience with biological databases, tools, and software including BLAST, Bioconductor, or similar platforms. • Strong background in statistical analysis, machine learning, and algorithm development for biological applications. • Familiarity with high-performance computing and cloud-based platforms for large-scale data processing. More About ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

forecasting solutions. You will develop core backend services and data processing components in Python, ensuring reliability and testability while collaborating with data scientists and ML engineers to deploy models. You will work within the Predictive Intelligence engineering team under the Director of Engineering, contributing to scalable production services and data ...

hands-on and architectural expertise across AWS and Azure, alongside experience with modern data platforms such as Snowflake and Databricks. Experience with AI/ML, MLOps and responsible AI is important, as is the ability to operate confidently with both technical teams and senior business stakeholders. We're looking ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

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 ...

contributions are valued with a focus on achievable improvements that get used every day. We'll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale … Need to Have:7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity.5+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent ...

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 ...

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 ...

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 ...