11 of 11 Machine Learning Jobs in South Yorkshire

ground up - supporting the Digital Architect and collaborating with developers and stakeholders to deliver AI solutions that create measurable business value. Support the design and development of AI and machine learning models Build and scale AI solutions using Azure cloud services Apply statistical methods to analyse and prepare data Contribute to innovation projects that drive business improvements Collaborate … stakeholders Participate in sprint reviews and demos to showcase progress Document models, data sources, and transformation logic Assist in preparing user manuals and training materials for AI tools Training Machine Learning Engineer Level 6. As artificial intelligence continues to reshape industries, now is the ideal time to join our journey. AI is a rapidly growing area of demand … unique opportunity to be part of that transformation from the ground up, contributing to meaningful projects while developing skills that are increasingly vital in the digital future. Apprenticeship Standard Machine learning engineer (level 6) Training Provider BPP UNIVERSITY LIMITED Working Week Monday to Friday Shifts to be confirmed Expected Duration 1 Year 6 Months Positions Available 1 Closing More ❯

Delivery Consultant - AI/ML, Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and … a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Design and develop robust and scalable AI/ML solutions for business problems 2. Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem 3. Effectively use Foundation Models available … When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years experience in cloud architecture, a ML practitioner with hands-on implementation of ML systems; building, validating and deploying GenAI models - 5+ years of professional experience in a business environment; experience of IT platform implementation in a More ❯

for a BA to join their Risk Analytics team to support the improvement of model development & implementation processes. The role requires someone with some experience in Data Science or Machine Learning . The ideal candidate will have: Anaconda experience - essential Credit risk experience, knowledge of PD model - essential Data Science or Machine Learning experience - essential Python More ❯

and language solutions behind Amazon Echo and other Alexa-enabled products and services. Alexa Data Services' mission is to provide high-quality labelled data for machine learning (ML) technologies. Key job responsibilities As Team Manager, you will be responsible for : • Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and More ❯

grow at a company tackling some of the most exciting challenges in tech, in an inclusive and welcoming environment. Working on open-source projects has been a rewarding challenge - learning how to contribute on behalf of Arm and meet the high standards these projects demand. Intern, based in Manchester Graduate Programmes Two-year programmes starting each September, with roles … know? At Arm, engineering graduates use a wide range of tools depending on their role - but the most commonly used programming languages and tools include: Python - Used across software, ML, tooling, and automation roles C++ - Key for hardware/software interface, embedded systems, and modelling Verilog/RTL - Important for hardware design and verification roles Linux - Essential for systems-level … work Git, CI/CD tools (e.g. YAML, Terraform) - Common in DevOps and infrastructure roles Machine Learning Frameworks (e.g. TensorFlow, PyTorch) - Important for AI/ML roles Not every role requires all of these, but familiarity with at least one programming language (like Python or C++) and a collaborative toolset (e.g., Git, CI/CD) gives you a More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

a leading financial services client on a contract basis. This is an exciting opportunity to sit at the forefront of AI adoption, helping to translate cutting-edge AI/ML capabilities into real-world business applications that drive innovation and efficiency. ?? Location: Hybrid, 3 days per week in Sheffield ?? Contract: Initial term until end of the year, rolling thereafter ?? IR35 … Inside IR35 What Youll Do As the AI Commercialisation Lead, you will: Act as the bridge between AI/ML technology and business impact. Lead a team of AI commercialisation specialists, uncovering use cases and scaling high-value AI initiatives. Collaborate with business units, engineers, and data scientists to deliver practical, scalable AI solutions. Build and manage partnerships with external … compliance, and ethical AI standards. Drive awareness and understanding of AI across the organisation, fostering a culture of innovation. What Were Looking For Experience: 57 years in AI/ML solution delivery or product development, ideally in regulated industries. Sector Knowledge: Financial services, consulting, or technology background with a focus on transformation. Technical Understanding: Familiarity with AI/ML technologies More ❯

Genuine. We are seeking an experienced AI Delivery Lead (Commercialisation Lead) to join our growing AI function. This role will act as the bridge between cutting-edge AI/ML capabilities and real-world business applications, driving the identification, development, and delivery of AI-powered efficiency and innovation opportunities across the enterprise. The position sits within one of the bank … business, operations, and technology stakeholders to uncover use cases, pilot solutions, and scale impactful AI initiatives. A core responsibility will be to translate business challenges into practical AI/ML solutions, form partnerships with third-party providers, and ensure robust governance and scalability as new tools are integrated into the bank's Future State Architecture (FSA) and Digital Acceleration Programme. … Main Responsibilities: Business Integration Collaborate with business units to identify and shape AI/ML-enabled opportunities that enhance operational efficiency and innovation. Support the design and implementation of AI-driven process improvements in key business areas. Technology Translation Work with stakeholders to translate complex business challenges into viable AI/ML use cases. Ensure solutions are practical, scalable, and More ❯

decisions and balancing user needs with business goals. Nice to Have: EdTech, education, or e-learning experience. Knowledge of school leadership or teaching workflows. Familiarity with AI/ML applications in user-facing products. Background in B2B SaaS or subscription models. What Makes This Role Exciting You'll shape the future of AI in education, delivering impact at scale. More ❯