1 to 25 of 41 DemandTrendPermanent Machine Learning Jobs in Yorkshire

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

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 ❯

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 ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all … are resolved. - Communicate and document your research by writing and sharing internal documents with your team BASIC QUALIFICATIONS - Are enrolled in or have completed a PhD in computer science, machine learning, engineering, or related fields - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

without requiring a move into management or sales, allowing individuals to focus on what they do best-engineering high-quality, scalable data solutions. Why Join? This organisation values continuous learning and personal growth. Team members benefit from a dedicated learning allowance, enabling them to shape their own development journey. Paid overtime and a strong emphasis on work-life … with data engineering and analytics using native cloud tools (AWS Glue, Azure Data Factory, GCP Dataflow, etc.) Familiarity with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application development Knowledge of modern data platform technologies such as Quantexa, Palantir, or Databricks Proficiency with open-source data tools and frameworks Experience with More ❯

delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud More ❯

delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud 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 ❯

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 ❯

energy supply chain visibility, efficiency, and intelligence. This role will be part of AWS Energy ProServe team and requires a deep understanding of AWS technologies, data architectures, AI/ML, and the broader technology ecosystem, as well as how those technologies can be leveraged to optimize the end-to-end supply chain. You will engage directly with CDOs, CDAOs, CTOs … supply chain services and offerings including AWS Supply Chain, Supply Chain Command Center (SC3) and Warehouse Automation and Optimization (WAO) • Work hands-on with new Services, including AI/Machine Learning, Serverless/Lambda IoT, Analytics (Map Reduce, ETL), Data Warehouse, BI and Security Services to build products and solutions with our customers • Structure and Guide our Customer … and English PREFERRED QUALIFICATIONS - AWS Certified Solutions Architecture (Associate or Professional), or other speciality - Experience implementing services and solutions on Customer Projects using AWS Big Data, Analytics, AI/ML or Data Science solutions - Hands on experience leading large-scale global data warehousing and analytics projects. - Experience designing and coding in Python or Scala or building ETL or data ingestion 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 ❯

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 ❯

ability to interpret complex data sets and present findings clearly to non-technical audiences - Strong communication skills and the ability to collaborate across teams Desirable: - Experience with advanced analysis (machine learning, predictive modelling) - Professional certifications (Microsoft, Google, IBM, Python or equivalent) - Previous SHEQ experience or qualifications (IOSH, IEMA, NEBOSH) - Project management skills and experience of working in multidisciplinary 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 ❯