1 to 25 of 33 Permanent Machine Learning Jobs in South Yorkshire

seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong … into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance, resilience, and explainability Contribute to MLOps best practices, model governance, and technical standards Support ...

iteration Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows Improve the scalability, reliability, and performance of existing ML systems Review code and architecture, setting a high engineering standard Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness What … Learning Engineer/AI Engineer in a product-led environment Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems ...

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 ...

Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent … institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

Launch Your UK Career: AI/ML Assurance Analyst Internship at London Success Academy (Remote) (10 Positions) Location: Remote | Duration: 4 Weeks | Start Dates: Feb 2026 Limited Spots – Apply Now to Secure Your Place! Are you ready to jumpstart your career in AI, data, and analytics? Gain real-world exposure … expert mentorship, and an official UK Experience Certificate while working on AI/ML-driven business platforms. London Success Academy (LSA) is offering a structured 4-week Expert-led, unpaid, Work Experience Internship designed to equip aspiring professionals with practical skills in AI assurance, data quality analysis, and model risk ...

collaborate with cross-functional teams to deliver high-impact solutions. You will be driving the development and troubleshooting of backend systems and AI/ML models. You will be driving the delivery of document data extraction and unstructured data processing capabilities. What you need to have to succeed in this … that would be nice to see: Experience with cloud platforms. Familiarity with DevOps practices and CI/CD pipelines. Industry experience delivering AI/ML solutions to production - particularly including hands on experience with generative AI and prompt engineering. ...

well tested code across the stack. Helping establish engineering standards, tooling and best practices in an early stage environment. Collaborating with Ai/ML components and backend services to integrate intelligent workflows into the product. Debugging, optimizing and improving performance and reliability across the system. Requirements for this role 5+ … environment with a high level of autonomy and ownership. Strong problem solving skills and a pragmatic product focused mindset. An interest in AI and machine learning. Nice to have Experience with or an interest in Python. Experience with setting up infrastructure on AWS (or a similar platform). ...

self-funded, independent AI group, focused on building a new consumer AI application with global impact. We're assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems. About The Role You will shape the core technical direction … zero-to-one technical problems end-to-end Nice to Have Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer) Contributions to open-source ML libraries Background in scientific computing, compilers, or GPU kernels Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal or diffusion models Experience ...

business management consultancy Have consultancy background and worked for tier1 consulting firms Digital transformation experience with strong knowledge of BPM and AI, Robotics and machine learning Superior strategy and financial skills Strong leadership capabilities Great business development and sales records Impact and Impression. Has a strong personality ...

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 ...

next Cloud infrastructure experience - Ideally Azure first. You should be able to stand up and manage infrastructure, not just write application code. AI/ML awareness - You don't need to be a researcher, but you should have an interest in how to integrate LLMs, work with embeddings/vector ...

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 ...

/Remote Start: ASAP Duration: 12-24 months (extension very likely) Language: English (must-have) What you'll do Build and operate AI/ML infrastructure used in production Support model deployment, monitoring and scaling Automate workflows around training, evaluation and deployment Work with GPU-based systems, distributed compute ...

scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud infrastructure and implement security, compliance ...

growing market with meaningful impact and long-term upside What You Bring 5+ years of experience in enterprise or strategic sales, ideally within AI, ML, security, or technical services Proven ability to close complex, high-value deals with technical customers Experience selling consultative, services-led offerings rather than purely transactional ...

Process: Intro call where we talk about the role. Technical discussion with the Head of AI. Deep-dive session with a Backend Engineer and ML Engineer from the team. 30-minute conversation with the Founder. Why This Is Worth Your Time Real ownership: You'll be the architect behind ...

weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop … with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such ...

tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time … experiments that measure monetisable outcomes (conversion, pilot → paid, ARR influence). Own hypothesis, experiment design and go/no-go decisions. Partner with Data & ML to validate metric integrity and translate experiment results into commercial recommendations. GTM partnership & pilots (10%) Design convertible pilots with Sales/CS: define success criteria ...

best team to suit your skillset/interests but you could be working on UI project for: • Some of the world's most performant ML pipelines that deal with millions of data points every second • Building software solutions/products with scale, reliability and latency considerations in mind Skills ...

experimentation, balanced by enterprise-grade governance, technical rigour and operational discipline. We want to hear from you if: Have led an applied AI or ML function, owning product direction and technical strategy for enterprise-grade AI platforms. Have operated as an AI Engineer or AI Architect at at Staff/ ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...