23 of 23 Permanent Machine Learning Jobs in South Yorkshire

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 a few 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 … 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 ...

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 ...

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 ...

/service integration into alerting, case management, and investigator workflowsEvaluation harnesses (golden datasets, regression tests, red-teaming scenarios, offline metrics)Drive execution across engineering, ML engineering/data science, product, operations, compliance, model risk, architecture, cyber security, and technology controlsCreate clear decision packs (options and trade-offs across risk/ ...

latencyEnsure resilience, delivery semantics, operational robustness, implement error handling, delivery guarantees, retries, and DLQ patterns; design for recoverability and safe failure modesEmbed AI/ML-driven intelligent observability features whilst designing and integrate capabilities like anomaly detection, forecasting, predictive alerting, noise reduction, and automated root-cause analysis into the productOperationalise … production-grade LLM features (NLQ over telemetry, summarisation, incident triage, on-call copilots) using prompt engineering, RAG, evaluation, and guardrails; collaborate with DS/ML teams on model versioning, monitoring, retraining, and drift detection, including low-latency inference in streaming/serving pathsTo be successful in this role you should ...

platform Frontend: React, JavaScript, Typescript, Angular Data: PostgreSQL, Microsoft SQL Server, Mongodb, Apache Cassandra DevOps: AWS, Kubernetes, Azure, Jenkins, Docker, Ansible, Terraform AI: Azure ML Studio, Python, Github Copilot, OpenAI Person specificationMain ResponsibilitiesDelivering secure, reliable and scalable software, and supporting your team with technical tasks when needed.Evaluating and advising ...

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 ...

trusted advisor on AI technologies and best practices. About You Essential Skills & Experience Proven experience designing, building, and deploying AI/ML solutions within enterprise environments. Strong Python development skills. Experience integrating and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of vector databases, embeddings, RAG architectures ...

compliance requirements. Monitor performance, usage, reliability and cost of deployed AI solutions. What We're Looking For Commercial experience building and deploying AI or Machine Learning solutions. Strong Python development skills. Experience working with REST APIs and systems integration. Knowledge of LLMs, RAG architectures, vector databases and modern ...

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 ...

threat modelling Apply working knowledge of software supply chain security including SBOM and dependency risk governance Show a solid understanding of AI and ML security risks including prompt injection training data integrity risks model extraction and agentic AI threats Communicate technical risk clearly to senior stakeholders translating it into business ...

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 ...

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 ...

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 ...

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 ...

must be capable of working effectively in a team with minimum supervision, with excellent communication and presentation skills. Technical and computational knowledge, including in machine learning, applied to climate science would be an asset.You should be prepared to travel frequently in order to interact with the various relevant ...

secure SDLC and threat modellingApply working knowledge of software supply chain security including SBOM and dependency risk governanceShow a solid understanding of AI and ML security risks including prompt injection training data integrity risks model extraction and agentic AI threatsCommunicate technical risk clearly to senior stakeholders translating it into business ...

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 ...

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 by 2030 and ...

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 ...