16 of 16 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 ...

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 ...

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 ...

features; youll be setting direction. The tech youll work with Core:Azure, Databricks, Python, SQL, dbt, MQTT Storage & Serving:Delta Lake, Postgres, TimescaleDB Modelling & ML:MLflow Visualisation:Grafana What makes you a great fit Youre someone who can zoom out to architecture and zoom in to code, comfortably. Proven experience … this role Real autonomy:Youre trusted to make architectural calls, thats why youre being hired Visible impact:Your work directly unlocks better analytics and machine learning outcomes Modern problems:Youll work on advanced data patterns and architectures, not cosmetic refactors Still technical:This is a leadership role without ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

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 ...

performance. Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Deep hands-on expertise with GCP services Strong Python skills Practical experience with LLMs, embeddings, RAG architectures ...

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 ...

data programme delivery in regulated industries Experience delivering AI or advanced analytics initiatives Strong stakeholder management skills Good understanding of AI concepts (GenAI, ML, NLP, etc.) Experience working in regulated environments A commercial and pragmatic mindset Why Apply? Work on real AI transformation, not just theory High visibility role with ...

project management capability across Agile and Waterfall delivery models Experience presenting technical solutions to both technical and non-technical stakeholders Understanding of AI/ML technologies and the AI development lifecycle Hands-on experience with tools such as Jira for tracking delivery and requirements Strong stakeholder management skills across cross ...

insights, this role offers genuine impact and ownership. THE COMPANY They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed … infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands-on where needed while setting long-term technology direction. SKILLS AND EXPERIENCE The successful Head of Data and Infrastructure ...

currently looking for an experienced ML & AI Engineer to join a major technology program delivering advanced AI-driven solutions within the banking sector. The role involves working on innovative AI initiatives, building scalable infrastructure, and developing intelligent systems that power agent-based workflows and conversational AI platforms. You will collaborate ...

shipped product Tech Stack You don't need experience with everything listed, but this is what you'll be working with: Python: backend and ML Ops JavaScript/React: frontend AWS: product infrastructure Azure: AI tooling and related services LLM/ML: experience working with and managing LLMs Work Setup ...

/B testing and cost or latency dashboards. Contribute to broader AI architecture and help shape engineering patterns and strategy. Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production. SKILLS AND EXPERIENCE The successful Lead AI Engineer will have the following … skills and experience: Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery. Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling. Strong Python skills and experience developing APIs and production AI systems. Hands on experience with ...

.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 ...

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information ...