1 to 25 of 30 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 ...

defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing:Building and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions that accelerate the delivery of ML systems.Collaborating … impact.Defining and implementing Faculty’s standards for deploying machine learning at scale.Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.Who we're looking for:You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like ...

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 ...

Proven data engineering experience, with the ability to design, implement and maintain robust data pipelines. Hands-on experience working with AI, Generative AI or machine learning solutions in a practical, production-oriented context. Practical prompt engineering experience, including designing, testing and optimising prompts for large language models. experience ...

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 ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

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 ...

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 ...

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 ...

/tech division. You will oversee all legal matters, navigate high-stakes commercial contracts and international deals, and shape regulatory strategy across AI/ML, data privacy and IP management. The role demands hands-on leadership in a global, autonomous environment, with significant exposure to cross-border contracts and technology ...