25 of 25 Permanent Machine Learning Jobs in Edinburgh

continuous learning, and are passionate about advancing your expertise in data science and AI You excel in collaborative team environments while taking full ownership of your deliverables Advanced ML Architectures : Experience implementing specialised neural networks such as Graph Neural Networks (GNNs) for modelling complex relationships or Physics-Informed Neural Networks (PINNs) for incorporating domain knowledge LLM Specialisation : Hands-on … predictive modelling, or scenario generation in data-driven applications Energy Domain Knowledge: Background in power systems, energy dispatch optimisation, grid modelling, or other energy sector applications where AI/ML drives operational decisions We use a wide variety of tools and technologies across our products. For this role, we're looking for: Strong Python proficiency with hands-on experience in … AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and More ❯

a collaborative, forward-thinking environment where innovation is encouraged and your growth is supported. This role offers a unique opportunity to work on a wide range of AI and ML projects, from model development and validation to data analysis and stakeholder engagement. You'll be joining a team that values curiosity, creativity and continuous learning, and you'll play … a key role in helping us unlock the full potential of data across the Group. Responsibilities Develop AI and ML solutions with guidance, including feature selection, model training and validation Prepare and explore data ahead of modelling Utilise a modern tech stack for data science, including python, google cloud and other tools Work closely with data and ML engineers to … are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive. What you'll need Experience developing or supporting AI and ML models, including the commonly used python libraries for machine learning and data pre-processing. Awareness of LLM methods and skills in prompting or fine-tuning are beneficial but More ❯

Enhance and evolve the existing forecasting suite in collaboration with traders and market specialists. Work closely with developers and consultants in an agile, cross-functional environment. Apply cutting-edge machine learning techniques to improve forecasting accuracy and usability. Tech Environment Languages: Python, C#, front-end web technologies Infrastructure: Microsoft Azure Modelling Approaches: Machine learning, optimisation, stochastic … and agent-based models About You Experience in the energy sector - markets, trading, forecasting, etc. Strong Python skills with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). Knowledge of GitHub/Azure DevOps and SQL advantageous. Excellent communicator, able to explain technical concepts to non-technical audiences. Degree (or equivalent experience) in a numerical or computer science subject. More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

design through production Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Preferred Qualifications Experience designing data platforms that support analytics, machine learning, and operational workloads Familiarity with data governance, privacy, and compliance frameworks Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) Experience with infrastructure-as … can feel really proud of what you and your team created Personal development - clear and defined career pathways for every role at every level, a supportive manager, loads of learning opportunities and even 10% of your time to dedicate to your learning. Belonging - everyone at FanDuel works for each other, we win together, make mistakes together and have lots More ❯

it, how to store it, how to structure it, how to transform it, and how to consume it for data-centric functionality including data APIs, data monetisation, Gen AI, machine learning, management information, and reporting. Joining Deloitte provides access to strong training and learning opportunities. You will work in fast-paced teams with talented, motivated colleagues and More ❯

Overview AI Engineer 6-month contract (extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced AI/ML Engineer to help our Central Government client build high-performance machine learning systems and cutting-edge AI features. You'll work with technologies like LLMs, OCR, object detection, and cloud-native deployments … contributing to scalable, production-ready solutions in a collaborative, agile environment. Responsibilities Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK … tuning (LoRA, QLoRA, etc.). Qualifications Solid Python skills (3.9+) with deep knowledge of async, OOP, and performance tuning. Hands-on experience with LLM fine-tuning , image processing, and ML libraries. Experience building and maintaining cloud-native AI/ML services . Familiarity with Agile development , TDD, and infrastructure-as-code. Bonus: experience with multi-modal models, RLHF , or edge More ❯

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

Proficient in operating within an ITIL environment. Skilled in applying continuous engineering and agile methodologies to manage frequent changes and reduce complexity. Adept at leveraging automation and AI/ML to drive continuous improvement. Technical skills The candidate is expected to have a proven track record in the use of Microsoft M365. Recent experience and certifications of some/all More ❯

Proficient in operating within an ITIL environment. Skilled in applying continuous engineering and agile methodologies to manage frequent changes and reduce complexity. Adept at leveraging automation and AI/ML to drive continuous improvement. Technical Skills: The candidate is expected to have a proven track record in the use of Azure Virtual Desktop. Recent experience and certifications of some/ More ❯

demonstrate depth and breadth across the architecture domains: Applications, Data, DevOps, Enterprise Architecture, Infrastructure, Platforms, Security, Integration, Business Architecture Strong understanding of emerging and innovative technologies, like AI/ML and no code/low code, and how to shape IT strategy and delivery to leverage those technologies. Experience in capability development activities, such as team building, training, recruitment, career More ❯

Data Analyst role within 12 months of graduation, we’ll refund 100% of your fees. What You’ll Gain - Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning - Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) - Real Projects: Work on real-world data challenges to showcase in your CV 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 ❯

many of the following as possible: SQL Azure (Key Vault/Data Factory/Data Lakes) Power Apps CRMs (ideally D365) Ideally existing/eagerness to gain knowledge across Machine Learning/NLP Solid analytical mindset as well as communication skills to be able to work with people at all levels Ability to work as part of a More ❯

Proficient in operating within an ITIL environment. Skilled in applying continuous engineering and agile methodologies to manage frequent changes and reduce complexity. Adept at leveraging automation and AI/ML to drive continuous improvement. Technical Skills: The candidate is expected to have a proven track record in the use of EUC and Windows Desktop technologies. Recent experience and certifications of More ❯

new technology Successful candidates usually have a degree in Software Engineering or similar numerate discipline with a software engineering emphasis. Familiarity with Robotics Middleware (e.g., ROS) Simulation, Robotics and Machine Learning techniques Use of current programming language features (e.g., Boost, OpenCV, C 17 onwards for C++) Experience with automating application deployment and environment configuration management Software verification and … 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 ❯

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 ❯

environment Strong problem-solving abilities and attention to detail Desirable Skills & Experience Familiarity with computer vision technologies Prior experience in a related role Knowledge of agile methodologies Understanding of machine learning concepts Call to Action If you are a talented C++ Engineer passionate about sustainability and innovation in robotics, we invite you to apply by submitting your CV. More ❯

environment Strong problem-solving abilities and attention to detail Desirable Skills & Experience Familiarity with computer vision technologies Prior experience in a related role Knowledge of agile methodologies Understanding of machine learning concepts Call to Action If you are a talented C++ Engineer passionate about sustainability and innovation in robotics, we invite you to apply by submitting your CV. More ❯

office) Salary: up to £60k + package The Data Gals have been retained by a Biotech scale up developing next-generation smart detection products that use IoT devices and machine learning to identify biological threats in real time. Their first commercial product is nearing launch, with a broader platform vision across agriculture, animal health, and human diagnostics. This More ❯

services or consulting (banking/insurance focus). Knowledge of data governance frameworks (DAMA, DCAM) and regulatory requirements. Strong communication, problem-solving, and collaboration skills. Exposure to AI/ML, cloud data environments, or modern data architectures is a plus. This is a fantastic opportunity to grow your career in data and resilience, working on impactful projects across the financial More ❯

in banking or insurance . Strong knowledge of data governance frameworks (DAMA, DCAM) and sector regulations. Proven leadership in data transformation and business change programmes. Experience with AI/ML adoption and modern data architectures (cloud desirable). This is an exciting opportunity to make a real impact in shaping the future of data in financial services . More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data Product Engineering Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering … at Sparta Global. About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing More ❯