1 to 25 of 378 Permanent Machine Learning Jobs in the North of England

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 ❯

team sits in the heart of it. The team's primary responsibility is to pioneer the approaches of military robotics and autonomous systems and their machine learning (ML) components. The team is involved in the full life cycle of the project. They work closely with other leading military robotics companies and customers all over the world. To support … in relevant industry that will complement and enhance RAS development Experience with Linux and developing real-time software in C/C++ or Python is essential. Experience of robotics, machine control systems and automation is desirable. A basic understanding of electronics and the ability to read electrical schematics is essential. Demonstrable knowledge and experience of current software engineering practices … for RAS. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Knowledge of CODESYS or similar PLC software is beneficial. Experience working in a multi-disciplined engineering team. Ability to investigate and interpret data, issues, and situations, to make sound decisions in high-stress situations. Appetite for learning new technologies and applications. Ability to communicate More ❯

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application. Hybrid Working: Please … you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent data products, leveraging modern cloud … and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data More ❯

Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company … LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine More ❯

Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company … LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine More ❯

creating performance reports and predictive models. Strong experience with data visualisation and business intelligence tools (e.g., Power BI, Tableau, Qlik) Demonstrated ability to build predictive models using statistical or machine learning techniques. Experience working with large datasets, preferably in the housing, public sector, or not for profit sector. Excellent analytical and problem-solving skills with a customer-centric … multiple priorities, and deliver high-quality work to deadlines. Degree or experience in Data Science, Statistics, Business Analytics, Mathematics, or a relevant experience. Experience in predictive analytics, forecasting, or machine learning applications in a business context. Knowledge of data protection regulations (GDPR) and best practices. A place to build a future We have big ambitions. That means we More ❯

creating performance reports and predictive models.• Strong experience with data visualisation and business intelligence tools (e.g., Power BI, Tableau, Qlik)• Demonstrated ability to build predictive models using statistical or machine learning techniques.• Experience working with large datasets, preferably in the housing, public sector, or not for profit sector.• Excellent analytical and problem-solving skills with a customer-centric … multiple priorities, and deliver high-quality work to deadlines.• Degree or experience in Data Science, Statistics, Business Analytics, Mathematics, or a relevant experience.• Experience in predictive analytics, forecasting, or machine learning applications in a business context.• Knowledge of data protection regulations (GDPR) and best practices. A place to build a future We have big ambitions. That means we More ❯

on what data they need and how best to use it. Balance short-term business demands with long-term analytical strategy and sustainability. Apply and explore Data Science and Machine Learning techniques, including segmentation, to enhance insight and discovery. What We're Looking For Strong experience in data visualisation (Power BI ideal). Solid SQL skills and comfort … ability. Ability to collaborate with stakeholders and translate requirements into analytical solutions. Curiosity, proactivity, and the ability to guide others toward the right insight. Exposure to Data Science/Machine Learning techniques is a plus. What's On Offer Salary up to £65,000 , depending on experience Hybrid working - 2/3 days in the Heald Green office More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

Senior Java Developer - Leeds City Centre (Hybrid) Up to £60,000 4 Days in Office, Friday WFH AI & Machine Learning I'm recruiting for a forward-thinking tech company based in Leeds City Centre that's transforming how retailers harness AI and machine learning to boost profitability and stay competitive in a rapidly evolving market click More ❯

You will study part-time towards the AI Level 6 qualification while working on live projects. We’re looking for someone with a solid technical foundation in AI and Machine Learning whether gained through academic study, self-learning, or hands-on experience who is ready to apply their skills in a dynamic, real-world environment. You’ll … practical project work Who we’re looking for: You may be: A graduate or undergraduate in Computer Science, AI, Data Science, or related fields A self-taught AI/ML practitioner with relevant projects An early-career technologist seeking formal qualifications and impactful work Essential skills: Strong foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python … and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen) A passionate, motivated and driven person Desirable skills: Experience with ASR or captioning tools Knowledge of accessibility standards (e.g. WCAG) Exposure to cloud platforms (e.g. AWS, Azure) Experience in client-facing roles or service More ❯

Tetra Tech is looking for a Principal/Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Principal/Associate Geospatial Developer (GIS/AI/ML) Manchester or Southampton Tetra Tech is looking for a Principal/Associate Geospatial Developer … GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Why this is a great opportunityfor you: Shape the Future: Lead the design and delivery of next-generation geospatial AI/ML systems that will transform how clients in nuclear, defence, water and beyond manage … Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs-of-concept to large scale multi-sector deployments, youll tackle a broad array of More ❯

within an innovative, tech-driven organisation. You'll work at the forefront of data modelling, analytics engineering, and AI-enablement, helping shape scalable data products that power enterprise reporting, machine learning, and self-service insights. Senior Analytics Engineer/Data Modeller Responsibilities Design, build, and maintain analytical and AI-ready data marts sourced from the enterprise data lakehouse. … and data scientists to deliver performant and reliable datasets. Implement data quality monitoring, validation processes, and performance optimisation. Support AI initiatives by designing AI marts, feature engineering structures, and ML-ready datasets. Contribute to standardised KPIs, metadata, and a single source of truth for reporting. Work with business teams to translate complex requirements into scalable, high-impact models. Support agile … analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong attention to detail and data quality. Desirable: Exposure to AI/ML data preparation, Python or Spark, Data Vault 2.0, data governance, GDPR, and experience working in mobility, logistics, financial services, or tech-enabled environments. What's in it for me? Hybrid More ❯

Act as a trusted advisor on data matters, providing guidance on best practices for data analysis and reporting. Actively support in future proofing the business applying AI, statistical and machine learning techniques to create predictive models that help anticipate client needs and enhance service offerings. Identify trends, patterns, and opportunities within complex datasets related to wealth management and More ❯

learning and predictive analytics systems, managing electrical control and instrumentation projects, supporting the maintenance team and drive the adoption of digital industry technologies such as IoT, AI, ML etc. You will contribute to the strategic engineering roadmap and train maintenance staff on machine control systems. You will also interpret, generate, and manage electrical engineering drawings and documentation More ❯

data Regression and hypothesis testing across product and operational data Theme extraction from defect reports and customer feedback Helping challenge assumptions with data-driven evidence Tech Environment Python & SQL Machine Learning, statistical modelling, data manipulation Cloud-first setup (Azure preferred; Databricks is widely used) Exposure to LLMs or AI agents is extremely valuable More ❯

design, development, and delivery of a scalable and robust data platform. You'll manage and mentor a team of data engineers, ensuring the platform supports business intelligence, analytics, and machine learning initiatives across the organisation.You'll work closely with product managers, data scientists, and senior stakeholders to translate business needs into technical solutions, while championing best practices in More ❯

learn. Nice-to-Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready to take the More ❯

learn. Nice-to-Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready to take the More ❯

learn. Nice-to-Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready to take the 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 ❯

paying circa £45,000 to be based onsite , with some Hybrid working, skills required PowerBI ideally with Fabric, beneficial skiils are SQL, DAX, Power Query, data manipulation and querying, ML/AI would be beneficial to create robust and scalable BI solutions. What you'll do: Craft engaging and interactive dashboards and reports using a leading data visualisation platform. Harness … users on BI tools and solutions, empowering them to leverage data effectively. Create clear and concise documentation for all BI solutions. Explore and implement advanced forecasting techniques, potentially leveraging machine learning and artificial intelligence. What you'll bring: At least 3 years of hands-on experience in business intelligence development. Demonstrable expertise in a leading data visualisation tool More ❯

to be based onsite , with some Hybrid working, skills required PowerBI ideally with Fabric, beneficial skiils are Cognos TM1, SQL, DAX, Power Query, data manipulation and querying, ML/AI and Qlik would be beneficial to create robust and scalable BI solutions. What you'll do: Craft engaging and interactive dashboards and reports using a leading data visualisation platform. Harness … users on BI tools and solutions, empowering them to leverage data effectively. Create clear and concise documentation for all BI solutions. Explore and implement advanced forecasting techniques, potentially leveraging machine learning and artificial intelligence. What you'll bring: At least 3 years of hands-on experience in business intelligence development. Demonstrable expertise in a leading data visualisation tool More ❯

join a business and work as a leader on the rearchitecting and refactoring of their new data platform. The work you deliver will form the foundation for advanced analytics, machine learning, and AI initiatives. Due to the complexity and scale of the platform, experience in similar environments is essential. The Skill Requirements: We're looking for candidates with 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 ❯