1 to 25 of 47 Machine Learning Jobs in Yorkshire

Do you have an IT qualification alongside a passion for AI, LLMs and machine learning? Are you looking for a role in industry focused on improving productivity through leveraging those technologies? Want great training, a family feel welcoming atmosphere, third party mentors for support but also the opportunity to learn by doing from day one, and to see … they’re bringing some of it in-house. We’re looking for a Graduate IT Developer with strong web development skills and a real interest in AI, LLMs and machine learning, to help them transform how they work. You'll get scope to work on interesting projects from day one, support from third party IT professionals and great … .* Some experience with APIs, integrations, and middleware (most likely through a University project, or year in industry).* Knowledge or hands-on exposure to AI/LLMs/ML (if you're not an early AI adopter it's unlikely this is for you).* Familiarity with cloud platforms and modern IT frameworks.* A proactive, curious mindset with a More ❯

Job Title: ML Engineer Location: (York/London)/Hybrid (3 days per week onsite) Department: Digital Decisioning Salary: Up to £77,000 + Excellent Benefits Type: 18 month FTC About the Role WRK digital is proud to partner exclusively with a well-known, high-profile organisation on a transformative data journey. We are seeking a talented ML Engineer to … a forward-thinking company as they build an intelligent data platform in close collaboration with AWS engineers. This role will require the software and dev ops capabilities of an ML Ops engineer to build ML and CI-CD pipelines, proficiency in Infrastructure as Code and Sagemaker pipelines combined with Data Engineering capabilities. Role Summary: Working across projects within the business … and the wider industry through the organisation's parent company, you will have responsibility for: Designing and implementing automation pipelines to operationalise the ML platform and ML pipelines for CI/CD Pipelines Responsibility for mapping out data feeds into/out from the ML platform in collaboration with Solutions Architects and the IT Team Ensuring that the ML systems 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 ❯

make a tangible business impact. You'll be working closely with data scientists and product specialists to deliver scalable, high-performance software solutions that integrate the latest AI and ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure … to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps: Git, CI/CD, Docker, Kubernetes Agile, collaborative environment with code reviews and shared ownership What You'll Be Doing Designing and developing enterprise-grade Java applications using Spring and Hibernate … Collaborating with data scientists to embed AI/ML insights into real-world systems Building scalable, high-availability solutions for global retail clients Driving code quality, performance, and architecture best practices Mentoring junior engineers and contributing to continuous improvement What We're Looking For 8+ years' experience in Java software development Proven background delivering complex, scalable backend systems Deep understanding 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 ❯

Hugging Face AI Engineer, Leeds, Hybrid - No sponsorship available. Our client is on the hunt for a talented AI Engineer to bring cutting-edge machine learning and NLP solutions to life in the UK healthcare sector. This role is hands-on and dynamic — perfect for someone who enjoys building AI systems that are production-ready, scalable, and ethical … . What You’ll Work On Craft machine learning and NLP models that solve real-world healthcare challenges. Build end-to-end pipelines, from raw data handling to model deployment. Connect AI models to backend systems and user interfaces for seamless operation. Monitor and evaluate models, tackling bias and improving explainability. Deploy AI solutions using cloud services (AWS … reduce latency, and implement best-practice CI/CD workflows. Document processes, architectures, and results for regulatory and internal review. Skills & Experience We’re Looking For Experience in AI, ML, or Data Science roles with hands-on model development. Strong Python skills and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face. Knowledge of NLP, generative AI, or More ❯

Hugging Face AI Engineer, Leeds, Hybrid - No sponsorship available. Our client is on the hunt for a talented AI Engineer to bring cutting-edge machine learning and NLP solutions to life in the UK healthcare sector. This role is hands-on and dynamic — perfect for someone who enjoys building AI systems that are production-ready, scalable, and ethical … . What You’ll Work On Craft machine learning and NLP models that solve real-world healthcare challenges. Build end-to-end pipelines, from raw data handling to model deployment. Connect AI models to backend systems and user interfaces for seamless operation. Monitor and evaluate models, tackling bias and improving explainability. Deploy AI solutions using cloud services (AWS … reduce latency, and implement best-practice CI/CD workflows. Document processes, architectures, and results for regulatory and internal review. Skills & Experience We’re Looking For Experience in AI, ML, or Data Science roles with hands-on model development. Strong Python skills and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face. Knowledge of NLP, generative AI, or 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 ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. … data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary 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 ❯

a long-term contract basis where they will help to provide a single, comprehensive data cataloguing solution across the business units through architecting, positioning and delivering data science and machine learning. Key Skills: Machine Learning, deep learning TensorFlow & NLP (Natural Language Processing) Python - Pandas, PyCharm, Numpy SQL - MySQL, PostgreSQL, NoSQL, RDBMS Design and modelling GitHub & Jenkins 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 ❯

and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure, AWS or GCP) Logical, problem-solving mindset with a passion for automation Ability to communicate technical ideas clearly More ❯

online metrics). Strong proficiency in Python (FastAPI) and React/Next.js . Solid experience with SQL and NoSQL databases (e.g., Postgres, DynamoDB). Experience working with AI/ML models and APIs (LLMs, embeddings, vector search). Strong understanding of data engineering practices (ETL, schema design, performance tuning). Proficiency in cloud environments (AWS preferred) and containerised deployments (Docker More ❯

in leading AI or digital transformation projects, ideally in manufacturing or FMCG. Practical experience with AI tools like ChatGPT, Microsoft Copilot, and predictive analytics platforms. Familiarity with AI/ML frameworks (e.g., OpenAI API, TensorFlow, PyTorch) and automation platforms. Strong understanding of data integration, APIs, and enterprise architecture. Ability to translate business challenges into scalable technical solutions. Project management expertise More ❯

Location: This is a homebased role with headquarters in Southampton. Senseye Predictive Maintenance is a cloud-based solution that leverages advanced machine learning to revolutionize industrial maintenance. Our web application helps manufacturers reduce downtime, optimise maintenance schedules, and improve sustainability by providing real-time insights into equipment health and maintenance requirements. We are seeking an ambitious and versatile More ❯

experience with DBT for modular, testable SQL in a Lakehouse architecture. Proficient in Power BI for building interactive dashboards and visualising insights. Skilled in Databricks for collaborative data engineering, machine learning, and analytics. Familiarity with the Medallion data design pattern. Solid understanding of data modelling and experience leading delivery strategies. Strong troubleshooting skills with a focus on data 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 ❯

of varying complexity with visualization and analytical using tools like Power BI. MS SQL experience and knowledge & understanding of DAX. Experience of Agile delivery. Experience of PowerApps, Power Automate, machine learning, and Microsoft Fabric. What's in it for You: Enjoy hybrid working with 2/3 days per week in the office (including at least one day 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 ❯