24 of 24 Permanent Machine Learning Jobs in South Yorkshire

Scientist with strong Machine Learning, Google Cloud Platform (GCP), Python and data engineering expertise to support the optimisation of fraud models and ML infrastructure. Contract information Job title: Data Scientist Location: 3 days in Sheffield and 2 days remote Contract type: Inside IR35 Key Responsibilities Assess and optimise … data science teams. Analyse and optimise GCP compute, storage and networking, balancing cost, performance and reliability. Implement and improve monitoring and observability across ML workloads, including cost, performance and reliability metrics. Support the design, validation and deployment of fraud and machine learning models end-to-end. Strong commercial ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Paid Media Leadership Team to drive excitement, adoption, and integration as we run full-steam toward being an industry leader in AI, automation, machine learning, and holistic search strategies Drive full-funnel Paid Social strategy through an integrated approach, leveraging deep expertise across a variety of paid social … have managed Paid Social campaigns across a wide range of industries, engines, and management platforms, and you know when and where automation and machine learning can get your team's time back You have experience in emerging channels like TikTok and Reddit, and in pitching full-funnel strategies ...

Data Engineer IntelliAM is an intelligent asset management company specialising in industrial IoT data. We ingest high-frequency factory and sensor data, apply machine learning techniques, and present high value actionable insights to analysts and customers. We are building a cutting-edge UNS aligned Industrial IoT data platform … modular code). Modelling Implementation: Support the implementation of the “Unified Name Space” (UNS) across the data estate, to include schema and path standardisation; machine hierarchies and semantic relationships; and methodologies for validation and processing of data against contracts. Enablement: Establish a stable data serving layer for Grafana ...

based monetization models, model serving, inference costs, GPU economics, cloud economics, or compute cost optimizationExperience in SaaS economics, cloud cost analysis, or AI/ML-driven productsBackground in subscription analytics, pricing, packaging, or monetization strategyExperience with AI agents and API-driven business models#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things ...

working for a large asset owning company, or on projects for such companies, would be advantageous. Predictive and/or prescriptive analytics and machine learning. Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models. Demonstrable use of R, Python, Matlab ...

testing, end-to-end testing, cross-browser testing, regression testing, security testing, performance testing, API testing, and integration testing Experience testing or evaluating AI, ML, or LLM-powered systems, such as chatbots, copilots, agents, classifiers, RAG applications, document-processing workflows, or decision-support tools Familiarity with generative AI evaluation methods ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

Chattermill Analytics Limited in the United Kingdom seeks a Senior Machine Learning Engineer to advance our CX intelligence platform. You will design, train, and deploy transformer-based models and agentic systems on customer feedback data, balancing bespoke fine-tuning with off-the-shelf LLMs. You’ll own pipelines ...

Highly self-motivated, detail-oriented and able to work independently under pressure to tight deadlines Responsibilities: Translate business needs into data products, analytics and machine-learning solutions. Build and maintain data assets, models and metadata to global standards. Deliver insights across lending, consumer behaviour, marketing, pricing and growth. ...

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 ...

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 ...

including reduced cost-to-serve and improved productivity. Deep understanding of software implementation delivery, integration architecture, and data-driven performance management.Experience with generative AI, machine learning, or automation platforms (e.g. RPA, workflow orchestration, low-code tools).Experience building and leading high-performing, globally distributed specialist teams. Strong experience ...

deep Azure data stack expertise, strong data modelling skills, and a proven track record migrating large datasets to cloud platforms while supporting AI/ML workloads. #J-18808-Ljbffr ...

staying on the cutting edge of Paid Media, with deep knowledge of the latest tools, technologies, and trends. You embrace the future of Machine Learning and AI in Search and are eager to apply these innovations to drive client success. Savvy in leveraging data across multiple channels, including ...

person Scope and design solutions (including pricing) to meet client needs – from straightforward translation work to complex solutions involving SaaS platforms, AI/ML workflows and audiovisual production Confidently challenge client assumptions and requests where required to protect quality, risk and outcomes Collaborate closely with Customer Success, Sales and Product ...

storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda … Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Sheffield (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 ...

Global is seeking an experienced Data Scientist to optimise fraud models and ML infrastructure. The role involves hands-on ML model tuning, GCP resource management, and delivering practical recommendations for cost reduction and performance gains. You will work across production ML pipelines and collaborate with engineering teams to drive … enhancements. The ideal candidate has strong Python and SQL skills, experience with Spark, and a track record of scalable ML deployments in #J-18808-Ljbffr ...