25 of 25 Machine Learning Jobs in the North East

role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn … this is the perfect opportunity to kickstart your career. What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work … and selection of relevant input features to improve model performance Model Evaluation : Learn to test models for accuracy, robustness, and fairness using best practices Deployment : Help package and deploy ML models into production using tools like Docker, APIs, or cloud platforms Collaboration : Work closely with software engineers, data scientists, and product teams to integrate ML into real products and services More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse 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 ❯

your future career. You will design and build software solutions that harness the power of AI tools and modern development practices. Role You’ll receive a blend of structured learning, hands-on experience, and tailored apprenticeship training to help you grow into a confident tech professional. From day one, you’ll be supported by mentors, coaches, and a dedicated … week training programme designed to give you a strong foundation in both technical and professional skills. You’ll explore the fundamentals of AI, and data handling while also learning how modern engineering teams operate—using agile methods, collaboration tools, and real-world problem solving. Project-based learning: You’ll work on real challenges for real clients. With support … a wide range of technologies and systems, along with training to help you understand and implement them effectively. Professional Development: We invest in your continuous growth through our extensive learning portal, offering curated pathways, classroom-based and self-paced courses, and on-demand resources to keep your skills sharp throughout your apprenticeship. Apprenticeship Training: You’ll study towards the 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 ❯

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 ❯

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 ❯

exposure to cutting-edge tools and datasets. Responsbilities Working hands-on with macroeconomic and structural models, including those used for forecasting and policy simulation Applying large language models and machine learning to extract insights from economic and financial reports Analysing complex datasets to identify patterns and economic implications Supporting the development of new methodologies and contributing to internal …/GPA 3.5+ or equivalent) Experience running macroeconomic models and preparing analytical outputs Skilled in working with large datasets and identifying economic trends Familiarity with large language models and machine learning techniques High proficiency in English Must have the right to work in the UK or the US (please note sponsorship is not offered) Key Benefits Exposure to More ❯

Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that explore, capture, transform, and utilize data to support AI, ML, and BI Proficiency in data science languages/tools such as R, Python, SAS Awareness of ITIL (Incident, Change, Problem management) Diversity, Equity and Inclusion To attract the best people More ❯

show results Your contributions will be crucial for creating cutting-edge products and carrying out advanced research and development withinOliver Wyman. Notable DNA projects include: Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information Exploring novel GenAI architectures and validation methods for customer-facing tools in the … chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information Why Join us? Expect a steep learning curve, as no two weeks are ever the same: You'll have access to the latest technologies and constantly expand your toolkit with each new endeavour You'll be More ❯

strategies. Support UX optimisation, A/B testing, and feature performance analysis across the iGaming and sportsbook platforms. AI & Advanced Analytics Identify and influence the group-wide AI and machine learning roadmap (e.g., personalization, churn prediction, pricing models) to enhance customer experience and drive competitive advantage. Work with data science and engineering teams to build scalable, production-ready … regulatory frameworks. Commercially minded, able to link data to business performance and strategic outcomes. Demonstrated leadership in building, coaching, and scaling high-performing analytics teams. Knowledge of AI/ML applications in gaming and consumer-facing platforms. Technical proficiency: Required - Reporting/visualisation tools (Power BI/Tableau, etc). Nice-to-have - SQL, Python, R and modern cloud data More ❯

is responsible for developing and delivering the Digital Support Technician apprenticeship ensuring learners gain core digital support competencies such as troubleshooting, system configuration, and user support. This includes contextualising learning to real workplace scenarios, helping apprentices build confidence in both traditional IT support and emerging AI-enhanced workflows. By embedding AI technologies like Microsoft 365 Copilot into organisational processes … data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure Microsoft 365 Copilot, and extend functionality using Power Platform and Azure AI. Work collaboratively with employers and … ensure training solutions meet real business challenges and deliver measurable outcomes. To support the achievement of contractual targets for learner retention and success rates. Monitor learner progress to ensure learning continues and learners achieve in a timely manner. Seek feedback from learners on learning support materials to review and improve the service and learning experience. Ensure systems More ❯

Industry experience ideally in Defence, Aerospace, Automotive, or Off-Highway sectors. Proficiency with Linux and real-time software development in C/C++, Java, or Python. Experience in robotics, machine control systems, and automation. Familiarity with ROS (Robotic Operating System), Machine Learning, and OpenCV is advantageous. Experience with software testing, including HiL, is desirable. Understanding of the More ❯

Industry experience ideally in Defence, Aerospace, Automotive, or Off-Highway sectors. Proficiency with Linux and real-time software development in C/C++, Java, or Python. Experience in robotics, machine control systems, and automation. Familiarity with ROS (Robotic Operating System), Machine Learning, and OpenCV is advantageous. Experience with software testing, including HiL, is desirable. Understanding of the More ❯

Computer Science, Physics or Maths (2:1 or above) Expertise with C++ and Python is essential Experience with Linux and real-time software development Expertise with robotics, automation or machine control Basic electronics knowledge and ability to read schematics Familiarity with ROS, OpenCV, machine learning or PLC software is a plus Eligibility for UK defence security clearance More ❯

Computer Science, Physics or Maths (2:1 or above) Expertise with C++ and Python is essential Experience with Linux and real-time software development Expertise with robotics, automation or machine control Basic electronics knowledge and ability to read schematics Familiarity with ROS, OpenCV, machine learning or PLC software is a plus Eligibility for UK defence security clearance More ❯

Excellent strategic thinking, analytical, and problem-solving skills. Strong leadership and communication abilities; experience in cross-functional collaboration. Familiarity with agile development methodologies and tools. Experience with AI/ML applications in cardiology or diagnostics. Knowledge of cybersecurity and data privacy regulations (e.g., HIPAA, GDPR). Experience with international teams and global product launches. Attributes We Value Creative thinker, proactive More ❯

site client workshops, demonstrations and training, usually up to 2-3 times per year. Desirable Experience Familiarity with Robotics Middleware (e.g., ROS) and distributed robotics systems Simulation, Robotics and Machine Learning knowledge Experience deploying robots and/or autonomous vehicles in real world environments Experience in cybersecurity and/or Secure by Design concepts Experience designing and implementing … concise and professional manner and thrive in a team environment. You actively foster a positive, inclusive culture and willingly share your knowledge and support others. You are passionate about learning and growth and are motivated to expand your skills, ask questions, and engage actively in your development. To apply please send a recent copy of your CV and a 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 ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to craft highly scalable … Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented, Agile, and Lean methodologies, including Continuous Delivery. Documentation Rigour: Familiarity More ❯

strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to craft highly scalable … Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented, Agile, and Lean methodologies, including Continuous Delivery. Documentation Rigour: Familiarity More ❯

enhance application intelligence. Tech Stack Core: React, TypeScript, HTML5, CSS3 (SASS/Styled Components) Tooling: Webpack, Vite, Jest, Cypress Backend exposure: Python/FastAPI/Django (desirable) AI/ML Integration: Experience or curiosity around AI-driven applications or tools is a strong plus. About You Commercial experience building modern React applications in a product-focused environment. Strong understanding of … component-driven design, state management, and testing frameworks. (Senior) Experience with system architecture, mentoring, and driving technical direction. Interest or hands-on experience integrating AI/ML features into frontend applications. Passion for creating clean, maintainable, and scalable code. Why Join Competitive salary – up to £75,000 + bonus Hybrid working model – 2–3 days per week in Edinburgh office More ❯