1 to 25 of 46 Machine Learning Jobs in Yorkshire

o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering … delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of … on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer … for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Lead Data Engineer candidates More ❯

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 ❯

with scientists, data scientists, regulators, and industry leaders who rely on our solutions to make critical safety decisions. What you will accomplish Drive scientific breakthroughs • Pioneer the application of machine learning, large language models, and generative AI to solve complex toxicology challenges • Transform how we predict chemical behaviour, from molecular interactions to biological outcomes • Lead research that directly … need them • Drive rapid prototyping and deployment of AI solutions that solve real problems What you bring Technical excellence • Deep expertise in AI applications for cheminformatics, including predictive modelling, machine learning, and large language models • Strong foundation in chemical representation, toxicity modelling, and structure-activity relationships • Experience developing robust, explainable models that meet regulatory standards Leadership that inspires … Our culture values diverse perspectives and collective problem-solving. Global influence: Your research will inform regulatory decisions, guide pharmaceutical development, and influence how companies worldwide assess chemical safety. Continuous learning: Access conferences, collaborations with academic institutions, and opportunities to shape international scientific standards. We invest in your growth because your expertise drives our mission. Work-life integration: Flexible working 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 ❯

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 ❯

objectives into a strategic technical vision. Knowledge Essential Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Maintains knowledge of technology trends through pro-active horizon scanning, and understands how to assess More ❯

next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Are you ready to join the forefront of … model Additional Information Benefits: Hybrid working model with some flexible working 25days holiday Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access to our Employee Resource Groups 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 ❯

incident trends, and operational health.  Develop dashboards that integrate data from multiple service operations tools to provide a comprehensive view of system health and SLAs.  Utilise data analytics and machine learning models to predict potential service degradations and optimise resource allocation.  Enhance reporting capabilities to support compliance, audit, and continuous service improvement initiatives. Must Have Skills  Able to More ❯

incident trends, and operational health. Develop dashboards that integrate data from multiple service operations tools to provide a comprehensive view of system health and SLAs. Utilise data analytics and machine learning models to predict potential service degradations and optimise resource allocation. Enhance reporting capabilities to support compliance, audit, and continuous service improvement initiatives. Must Have Skills Able to More ❯

data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (e.g., Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that More ❯

data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (e.g., Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that More ❯

distributed data technologies such as Apache Kafka, Flink, and/or Pulsar Strong background in event-driven architectures, streaming pipelines, and data lakes Hands-on experience with AI/ML production systems, including prompt-based LLM integrations Expert-level Java development skills, with a polyglot mindset (comfortable in Python, React, or other languages as needed) Proven experience working in multi More ❯

and share technical information. Ability to work collaboratively across engineering and production teams. Creative and critical thinking skills with a proactive approach to continuous improvement. Experience with robotics, AI, machine learning, or project management is a plus. How We Care For You: At Thornton & Ross our purpose Caring for peoples health as a trusted partner motivates us every More ❯

warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed processing Nice to haves: ML pipeline experience Previous fintech or financial services exposure If you are on the market for a new role and are looking to join a business making real impact, APPLY NOW 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 ❯

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 ❯

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 ❯