1 to 25 of 80 Machine Learning Jobs in Scotland

agentic workflows that tie it all together. You will partner with computational chemists, CADD scientists, software engineers, and hardware engineers, and apply AI/ML to build the next generation of Chemify's platform. What sets this role apart is the combination of breadth of ML problems — generative chemistry, vision … search, agents — paired with a robotic platform that turns your models into physical experiments. If working across a wide range of hard ML problems on a real-world platform sounds like the right shape of job for you, we'd love to welcome you to our team. Key Responsibilities Build ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

benchmarks for model quality, latency, reliability and safety Exploring hardware-aware algorithms for efficient AI acceleration Reading and implementing ideas from current AI and machine-learning research Relevant experience may include Python, PyTorch, JAX, TensorFlow, Hugging Face, LangGraph, vector databases, reinforcement learning, optimisation or distributed inference. 2. … Machine-Learning Algorithms You may work on: Designing and evaluating neural-network architectures Developing computer-vision, natural-language-processing or multimodal models Exploring efficient training and inference techniques Creating datasets, experiments, benchmarks and evaluation frameworks Investigating sparsity, low-precision computation and hardware–software co-design Translating research ideas ...

practical, secure and scalable AI solutions across the business. This is an exciting opportunity for an ambitious engineer with experience deploying AI and machine learning solutions who is looking to make a tangible impact within a well-established organisation. The successful candidate will play a key role … identify automation opportunities Evaluate emerging AI technologies and provide recommendations on future adoption AI Solutions Engineer Job Requirements 2-4 years' experience within AI, Machine Learning or Software Engineering Experience deploying LLM or Machine Learning solutions into production environments Strong programming experience using Python and/ ...

implement innovative technology solutions while ensuring appropriate governance and regulatory compliance. Core Responsibilities Technology Innovation: Drive the evaluation, development, and implementation of AI, machine learning, automation, and emerging technologies to improve operational efficiency, service delivery, and innovation across all MMS service lines. Process and Automation Efficiency: Focus … operational excellence, digital transformation, artificial intelligence, or a related field. Significant hands-on experience driving AI strategy, implementing AI technologies, AI agents, automation, or machine learning solutions within an enterprise environment. Strong understanding of artificial intelligence, machine learning, automation technologies, and their practical application to improve ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

drive both client impact and team growth About the role In this role you will shape and deliver the data science agenda ensuring machine learning and analytics solutions are not only technically robust but deliver real measurable business outcomes for clients. You will sit at the intersection … proposals and engaging with clients Partner with delivery teams and engagement managers to establish consistent ways of working and repeatable approaches Drive adoption of machine learning solutions ensuring sustained client value Build strong relationships with partners such as Databricks Pega and Adobe and contribute to client account growth ...

pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly Implements platform-level security, secrets … cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/ ...

augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management—to deploy … reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying NLP, LLM, and ML techniques ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field. Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture. Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM, or TGI). Proficiency in C/C++ … tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this Systems Research ...

ensures that Data & AI architecture aligns with business strategy, regulatory obligations and technology standards, supporting data integration, analytics and advanced use cases such as Machine Learning and Agentic AI. The Data & AI Architect will act as a technical leader, shaping architectural direction and supporting delivery teams to design … AI. - Real world experience of grounding AI solutions in corporate data (structured/unstructured). - Experience designing data solutions that support analytics, reporting and Machine Learning workloads. - Understanding of data governance, data quality, metadata management and data lineage. - Experience working within the Financial Services sector, with awareness ...

automation and data-driven technology delivery - Awareness of emerging trends such as AI, automation and data-driven product development - Exposure to AI or Machine Learning use cases within digital or technology delivery - Experience working with or alongside data scientists, data engineers, or analytics teams - Understanding of how data … years . To see what it’s like to work at Capgemini Invent, visit our Glassdoor page. Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value. You’ll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

Kingdom is seeking a Senior AI/NLP Engineer to join a highly collaborative team of business stakeholders, technologists, and control partners to deploy ML solutions into production. A strong passion for machine learning and continuous learning is essential, with solid NLP and financial knowledge and hands ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

security. Strong understanding of DevOps, CI/CD, and modern software development methodologies. Demonstrated experience with Agentic AI systems, autonomous agents, and advanced machine learning frameworks. Extensive hands-on experience with message-based technologies such as Apache Kafka and AMPS, including design, deployment, and optimization. Advanced proficiency ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Demonstrated experience designing and scaling agentic AI‐enabled development patterns ...

line of code, but you understand the platform end-to-end and own outcomes. You’ll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. Job responsibilities Own application governance and records ...

innovation and technical excellence. You will play a key role in shaping our technology roadmap and mentoring engineers as well as leveraging AI and machine learning to drive innovation and deliver smarter solutions. Together, we’ll build solutions that make a difference. Job Responsibilities: Lead the design, development ...

adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI/ML & Data Platforms team, you are a core technical contributor and are responsible for creating critical technology solutions across multiple technical areas within various business functions ...

Role Overview As a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle-from requirements clarification ...

business-facing solution design, with the ability to distil complex requirements into elegant cost-effective architectures. Programming experience and fluency with common AI/ML frameworks, services and deployment practices. Exceptional problem-solving skills and the ability to work on complex issues where analysis of situations or data requires ...